1 00:00:04,720 --> 00:00:12,879 Speaker 1: Mother Knows Death presents External Exams with Nicole and Jimmy. 2 00:00:16,440 --> 00:00:19,000 Speaker 2: A few weeks ago, on Mother Knows Death, we talked 3 00:00:19,040 --> 00:00:22,480 Speaker 2: about a story where a forensic anthropologist I don't know 4 00:00:22,480 --> 00:00:25,440 Speaker 2: if you heard of this story, but a forensic anthropologist 5 00:00:25,760 --> 00:00:29,320 Speaker 2: shift was shopping at an antique store and they stumbled 6 00:00:29,320 --> 00:00:33,519 Speaker 2: across a human skull. And I thought the story was 7 00:00:33,560 --> 00:00:38,000 Speaker 2: funny because they said, oh, luckily it was a forensic pathologist, 8 00:00:38,120 --> 00:00:42,080 Speaker 2: and I thought, like, okay, I think that most people, 9 00:00:42,120 --> 00:00:45,159 Speaker 2: even if they didn't have training in forensic pathology, would 10 00:00:45,320 --> 00:00:47,280 Speaker 2: know if it was a real human skull or not 11 00:00:47,360 --> 00:00:51,879 Speaker 2: because they're just so specific looking to a human. And 12 00:00:52,080 --> 00:00:55,400 Speaker 2: also on my website, The Grocerroom, we talked about a 13 00:00:56,000 --> 00:00:58,440 Speaker 2: book called Death's Acre, which is about the field of 14 00:00:58,480 --> 00:01:02,160 Speaker 2: forensic anthropology. So I thought it would be awesome today 15 00:01:02,240 --> 00:01:07,640 Speaker 2: on the podcast to interview a real forensic anthropologist and 16 00:01:07,800 --> 00:01:10,039 Speaker 2: his name is doctor Daniel Westcott. 17 00:01:10,120 --> 00:01:10,560 Speaker 3: Welcome. 18 00:01:11,760 --> 00:01:14,080 Speaker 2: It's an honor to have you here today. He is 19 00:01:14,120 --> 00:01:18,280 Speaker 2: a professor of anthropology at Texas State University, which has 20 00:01:18,400 --> 00:01:22,440 Speaker 2: the largest body farm in the country. And thanks so 21 00:01:22,520 --> 00:01:23,479 Speaker 2: much for being here today. 22 00:01:23,600 --> 00:01:24,080 Speaker 3: Is an honor. 23 00:01:24,920 --> 00:01:26,480 Speaker 4: Yeah, thank you, thank you for inviting me. 24 00:01:26,520 --> 00:01:30,080 Speaker 2: I anthropology when I was in college in my undergrad 25 00:01:30,120 --> 00:01:32,680 Speaker 2: and I thought it was the coolest class that I 26 00:01:32,720 --> 00:01:35,200 Speaker 2: ever took. I really didn't know about it, and it 27 00:01:35,280 --> 00:01:38,959 Speaker 2: was mostly cultural anthropology, but he touched a little bit 28 00:01:39,080 --> 00:01:43,760 Speaker 2: on a physical anthropology, which I think is a branch 29 00:01:43,800 --> 00:01:47,280 Speaker 2: of what you're doing. So can you describe to us, 30 00:01:47,319 --> 00:01:50,040 Speaker 2: like how what did you originally go to college for 31 00:01:50,120 --> 00:01:53,200 Speaker 2: and how did you even become interested or know about 32 00:01:53,200 --> 00:01:53,760 Speaker 2: this field? 33 00:01:54,560 --> 00:01:58,440 Speaker 4: Okay, oh, yeah, So biologically apology is one of the 34 00:01:58,480 --> 00:02:02,480 Speaker 4: subdisciplines of anthology. See so culture anthropology obviously looks at 35 00:02:02,520 --> 00:02:08,600 Speaker 4: the cultures of people, and archaeology looks at past cultures, 36 00:02:08,760 --> 00:02:12,640 Speaker 4: and biological anthology looks at the biology of people. And 37 00:02:12,720 --> 00:02:18,400 Speaker 4: we're interested in biological variation and how humans interact with 38 00:02:18,760 --> 00:02:23,359 Speaker 4: their environment and with their culture on a biological point 39 00:02:23,400 --> 00:02:28,400 Speaker 4: of view. So I've actually always been interested in both. 40 00:02:29,200 --> 00:02:33,960 Speaker 4: And so, uh, when I when I when I started college, 41 00:02:34,000 --> 00:02:38,280 Speaker 4: I the same thing. I took a four filled course, uh, 42 00:02:38,960 --> 00:02:44,760 Speaker 4: in pro course in anthropology, and I it was very 43 00:02:44,760 --> 00:02:47,440 Speaker 4: interested in doing. It wasn't my major or anything like that, 44 00:02:47,480 --> 00:02:52,520 Speaker 4: but I was very interested in that fourfilled approach. And 45 00:02:52,560 --> 00:02:56,680 Speaker 4: then so then I took another UH course. But when 46 00:02:56,720 --> 00:03:00,480 Speaker 4: I was taking those courses, there was a the if 47 00:03:00,520 --> 00:03:04,080 Speaker 4: Bulget department had a library attastitute. It's a little small 48 00:03:04,200 --> 00:03:06,760 Speaker 4: student library, and so I would go in there and 49 00:03:06,800 --> 00:03:10,440 Speaker 4: study before class. And one day one of the professors 50 00:03:10,480 --> 00:03:12,800 Speaker 4: came in and said, you know, somebody brought in some 51 00:03:12,919 --> 00:03:16,720 Speaker 4: human remains and is there anybody's interested in you know, 52 00:03:16,760 --> 00:03:19,360 Speaker 4: helped me with them, and of course you're like the 53 00:03:19,440 --> 00:03:24,240 Speaker 4: Champson that was pretty much. Yes, that was pretty much. 54 00:03:24,320 --> 00:03:26,960 Speaker 4: Yet you know, a week later I changed my major 55 00:03:27,000 --> 00:03:29,760 Speaker 4: and been doing it ever since. 56 00:03:30,240 --> 00:03:32,880 Speaker 2: I love stories like that because I think that everyone 57 00:03:32,960 --> 00:03:35,880 Speaker 2: has this pivotal moment. Well not everyone, I guess, but 58 00:03:36,000 --> 00:03:39,080 Speaker 2: people that are doing really cool jobs and they love 59 00:03:39,120 --> 00:03:41,760 Speaker 2: their job, they have this pivotal moment that they're like, wait, 60 00:03:41,840 --> 00:03:44,600 Speaker 2: I'm not in the right thing, and I'm going to 61 00:03:44,720 --> 00:03:47,120 Speaker 2: change over to this right away because this is something 62 00:03:47,120 --> 00:03:50,480 Speaker 2: that feels more right for me. When I was in 63 00:03:50,640 --> 00:03:55,240 Speaker 2: PA school, i interned at the Philadelphia Medical Examiner's office, 64 00:03:55,920 --> 00:03:58,720 Speaker 2: and that was really the first time I ever had 65 00:03:59,360 --> 00:04:02,840 Speaker 2: kind of a simil situation that happened with you. They 66 00:04:02,880 --> 00:04:05,760 Speaker 2: would from time to time have the police call and say, hey, 67 00:04:05,840 --> 00:04:08,200 Speaker 2: there's bones that are in the woods and we need 68 00:04:08,200 --> 00:04:11,480 Speaker 2: someone to look at them. And they didn't have a 69 00:04:11,520 --> 00:04:14,800 Speaker 2: forensic anthropologist that was there all the time, so when 70 00:04:14,800 --> 00:04:16,800 Speaker 2: they had cases like that, they would have to call 71 00:04:17,080 --> 00:04:21,000 Speaker 2: someone in to look at them. But in this particular case, 72 00:04:21,120 --> 00:04:24,240 Speaker 2: I'll never forget that there was it was a trash 73 00:04:24,279 --> 00:04:27,200 Speaker 2: bag and the emmy dumped out all the bones onto 74 00:04:27,240 --> 00:04:31,040 Speaker 2: the autopsy table and he said, oh, that's barbecue. It's 75 00:04:31,080 --> 00:04:33,880 Speaker 2: probably pork or something, and didn't even call one of 76 00:04:33,880 --> 00:04:37,200 Speaker 2: you guys to look at it. And I remember thinking 77 00:04:37,240 --> 00:04:39,800 Speaker 2: how cool that was that he could just look at 78 00:04:39,839 --> 00:04:43,320 Speaker 2: bones that fast and know that they weren't human. And 79 00:04:43,400 --> 00:04:46,400 Speaker 2: he explained to us like the weight bearing joints and 80 00:04:46,440 --> 00:04:49,560 Speaker 2: all this different things. But I thought that was really cool. 81 00:04:49,600 --> 00:04:53,400 Speaker 2: So obviously that's one of the jobs that a forensic 82 00:04:53,520 --> 00:04:57,600 Speaker 2: anthropologist can have, is working on real cases and being 83 00:04:57,880 --> 00:05:01,080 Speaker 2: a consult But what are what are some other things 84 00:05:01,120 --> 00:05:03,000 Speaker 2: you can do once you go to school and become 85 00:05:03,000 --> 00:05:04,440 Speaker 2: a forensic anthropologist. 86 00:05:05,320 --> 00:05:07,640 Speaker 4: Well, so, you know, if if you look at kind 87 00:05:07,640 --> 00:05:11,120 Speaker 4: of modern friends of anthropology, there's a couple of things 88 00:05:11,120 --> 00:05:13,840 Speaker 4: that there's a couple of different approaches, I guess, or 89 00:05:13,920 --> 00:05:17,400 Speaker 4: different tracks that you could go into. So there's obviously 90 00:05:17,400 --> 00:05:20,120 Speaker 4: the academic side, which is where I'm at, where I, 91 00:05:20,320 --> 00:05:24,479 Speaker 4: you know, a college professor and I teach friendsic anthropology, 92 00:05:24,560 --> 00:05:29,279 Speaker 4: I do research associated with friendsic anthropology, you know my 93 00:05:30,040 --> 00:05:34,080 Speaker 4: and have students and in things of that nature. And 94 00:05:34,120 --> 00:05:38,160 Speaker 4: then there's the side where you have people that are 95 00:05:38,200 --> 00:05:41,080 Speaker 4: on the track where they mainly are focusing on working 96 00:05:41,120 --> 00:05:43,680 Speaker 4: at a medical exeveritor's office. And I know that that 97 00:05:43,880 --> 00:05:46,760 Speaker 4: wasn't was not common in the past, but it is 98 00:05:46,800 --> 00:05:50,200 Speaker 4: becoming more and more common where you have friends againsthropologists 99 00:05:50,240 --> 00:05:53,120 Speaker 4: that are doing casework in the medical exemveritor's office. Not 100 00:05:53,160 --> 00:05:57,320 Speaker 4: only are they doing when there's actually skult or remains, 101 00:05:57,360 --> 00:06:02,080 Speaker 4: but they're also assisting with like looking at blood force 102 00:06:02,160 --> 00:06:06,760 Speaker 4: trauma and actually analyzing the bones even if there's a 103 00:06:06,760 --> 00:06:12,920 Speaker 4: plush person the And then the third track I guess 104 00:06:13,000 --> 00:06:18,080 Speaker 4: would be working for the government and as a friends 105 00:06:18,080 --> 00:06:26,760 Speaker 4: against all. Mainly that's associated with locating and identifying US 106 00:06:26,800 --> 00:06:29,440 Speaker 4: war dead and so, uh, there are a lot of 107 00:06:29,560 --> 00:06:33,840 Speaker 4: people that well that's their their career focuses on, uh, 108 00:06:34,240 --> 00:06:40,919 Speaker 4: you know, trying to identify people that died in the 109 00:06:41,240 --> 00:06:43,640 Speaker 4: in different wars, and they got pretty much any war 110 00:06:43,680 --> 00:06:45,040 Speaker 4: as long as the US was involved. 111 00:06:45,200 --> 00:06:46,360 Speaker 3: Interesting, I didn't know that. 112 00:06:47,200 --> 00:06:52,680 Speaker 2: So you're a professor at Texas State University, and this 113 00:06:52,720 --> 00:06:55,039 Speaker 2: is a question I have. I know that you have 114 00:06:55,160 --> 00:06:59,680 Speaker 2: a doctorate, but can people Are there different levels that 115 00:06:59,720 --> 00:07:02,760 Speaker 2: people we can go to school to work in the 116 00:07:02,760 --> 00:07:05,480 Speaker 2: field of forensic anthropology or do you have to have 117 00:07:05,520 --> 00:07:07,960 Speaker 2: a doctor to do that particular career. 118 00:07:09,040 --> 00:07:11,360 Speaker 4: No, you don't have to have a doctor. I would 119 00:07:11,400 --> 00:07:15,840 Speaker 4: say that, you know, a large majority of forensic anthabologist 120 00:07:15,920 --> 00:07:18,200 Speaker 4: have a doctor, but not all of by any means. 121 00:07:18,920 --> 00:07:23,480 Speaker 4: A lot of the investigators that work in medical examiner's offices, 122 00:07:23,520 --> 00:07:29,160 Speaker 4: for example, will only have a master's Usually, if you 123 00:07:29,400 --> 00:07:31,360 Speaker 4: don't have at least a you know, some kind of 124 00:07:31,400 --> 00:07:34,280 Speaker 4: a graduate degree, you tend to do more like crime 125 00:07:34,320 --> 00:07:37,600 Speaker 4: scene investigation and you might get involved with you know, 126 00:07:37,680 --> 00:07:42,680 Speaker 4: the obviously shelter remains in that sense. But same thing 127 00:07:42,720 --> 00:07:45,400 Speaker 4: with the US Army is that, you know, we have 128 00:07:45,440 --> 00:07:48,040 Speaker 4: a lot of our students that have gotten a master's 129 00:07:48,080 --> 00:07:52,720 Speaker 4: degree and then gone on to work for the government 130 00:07:53,520 --> 00:07:58,960 Speaker 4: with assisting in the identification of war dead. So it's 131 00:07:59,080 --> 00:08:02,120 Speaker 4: possibleVarious levels and then the same thing there, you know, 132 00:08:02,200 --> 00:08:08,120 Speaker 4: if you're wanting to go into just teaching. Yep, you 133 00:08:08,160 --> 00:08:11,160 Speaker 4: can get the job, said like community colleges and things, 134 00:08:11,320 --> 00:08:13,440 Speaker 4: teaching friends against pology with a master's. 135 00:08:13,480 --> 00:08:14,880 Speaker 3: Okay, that's that's good to know. 136 00:08:15,040 --> 00:08:18,960 Speaker 2: I like to introduce everyone to all these different jobs 137 00:08:18,960 --> 00:08:21,240 Speaker 2: they can get because I think a lot of people 138 00:08:21,440 --> 00:08:24,840 Speaker 2: just think there's only one thing you can do and 139 00:08:24,880 --> 00:08:26,800 Speaker 2: you have to do a lot of education for it. 140 00:08:26,840 --> 00:08:29,600 Speaker 2: And a lot of times, like sometimes I hear from 141 00:08:30,360 --> 00:08:32,400 Speaker 2: young mothers that want to go back to school, but 142 00:08:32,440 --> 00:08:35,040 Speaker 2: they really can't dedicate like eight years of their life 143 00:08:35,360 --> 00:08:37,400 Speaker 2: to go into school, but they do have interest. So 144 00:08:37,440 --> 00:08:41,160 Speaker 2: it's nice to know that there's lower levels that people 145 00:08:41,280 --> 00:08:43,800 Speaker 2: can do it. I know that you did get your 146 00:08:43,840 --> 00:08:48,199 Speaker 2: doctor from the University of Tennessee and that the book 147 00:08:48,200 --> 00:08:50,760 Speaker 2: that we read this month called Death's Acre was about 148 00:08:50,760 --> 00:08:54,920 Speaker 2: doctor Bill Bess, who created the first body farm. And 149 00:08:55,200 --> 00:08:58,200 Speaker 2: so for everyone listening that doesn't know what a body 150 00:08:58,280 --> 00:09:01,040 Speaker 2: farm is, can you tell us a little bit about that? 151 00:09:02,360 --> 00:09:11,080 Speaker 4: Sure? So if they're really kind of decomposition laboratories or 152 00:09:11,320 --> 00:09:15,080 Speaker 4: what really was called a taphonomic laboratory book, an outdoor 153 00:09:15,160 --> 00:09:21,480 Speaker 4: laboratory uh tefonomy is the study of anything that happened 154 00:09:21,520 --> 00:09:24,960 Speaker 4: to a once living organism from the moment it dies 155 00:09:25,000 --> 00:09:29,559 Speaker 4: to the moment it's discovered. Originally, it kind of came 156 00:09:29,600 --> 00:09:34,640 Speaker 4: out of paleontology, and the idea was, or the original 157 00:09:34,679 --> 00:09:38,439 Speaker 4: definition actually was from from the biosphere to the lithosphere, 158 00:09:38,480 --> 00:09:42,520 Speaker 4: so basically from a living organism to a bostle. And 159 00:09:42,800 --> 00:09:47,240 Speaker 4: the idea was to understand, you know, why you don't 160 00:09:47,679 --> 00:09:52,120 Speaker 4: find a complete body, right, what are the processes that 161 00:09:52,440 --> 00:09:54,560 Speaker 4: resulted in that. You know, if you find if you're 162 00:09:54,679 --> 00:09:57,400 Speaker 4: looking at a dinosaur, for example, and you have a 163 00:09:57,480 --> 00:10:00,319 Speaker 4: handful of bones and some teeth and stuff, what happened 164 00:10:00,320 --> 00:10:02,200 Speaker 4: to the rest of it and what were the processes 165 00:10:02,240 --> 00:10:06,520 Speaker 4: that occurred there? And so forensic anthopology we're doing the 166 00:10:06,559 --> 00:10:09,960 Speaker 4: same thing. We're just doing the very beginnings of that, right, 167 00:10:10,120 --> 00:10:13,000 Speaker 4: a very shortened version of it. Uh. And so the 168 00:10:13,080 --> 00:10:17,960 Speaker 4: idea is is to conduct research that looks at what 169 00:10:18,080 --> 00:10:22,160 Speaker 4: affects the rates of decomposition, uh, if there's anything that 170 00:10:22,160 --> 00:10:26,920 Speaker 4: affects the processes of decomposition. And also you know, to 171 00:10:26,960 --> 00:10:31,120 Speaker 4: be able to understand the uh, the scene better to 172 00:10:31,240 --> 00:10:35,160 Speaker 4: understand you know, movement of the body, you know, what 173 00:10:35,320 --> 00:10:39,440 Speaker 4: causes it to become disarticulated because of it to become spread. 174 00:10:40,200 --> 00:10:42,920 Speaker 4: What kind of damage do you have from the from 175 00:10:42,960 --> 00:10:46,680 Speaker 4: the skeleton that might be caused by a tafonomic process 176 00:10:46,800 --> 00:10:50,760 Speaker 4: rather than something that actually had to do with individual's deaths. 177 00:10:51,480 --> 00:10:54,120 Speaker 4: Uh So those are the things that go on in 178 00:10:54,520 --> 00:10:58,520 Speaker 4: uh decomposition facilities. The other thing too, is that they 179 00:10:58,559 --> 00:11:04,320 Speaker 4: are also a training ground, and so we utilize these 180 00:11:04,360 --> 00:11:10,240 Speaker 4: facilities to train law enforcement and medical legal investigators to 181 00:11:10,320 --> 00:11:15,160 Speaker 4: where they can actually work with real remains and they 182 00:11:15,240 --> 00:11:18,240 Speaker 4: can we can send up scenarios, you know, or we 183 00:11:18,280 --> 00:11:21,480 Speaker 4: can you know, teach them how to excavate or teach 184 00:11:21,520 --> 00:11:24,560 Speaker 4: them how to locate remains. And it gives them the 185 00:11:24,679 --> 00:11:27,360 Speaker 4: opportunity to learn that. But also if they're going to 186 00:11:27,400 --> 00:11:30,120 Speaker 4: make a mistake, to make a mistake, you know, during 187 00:11:30,160 --> 00:11:32,440 Speaker 4: the training and not in a real life. 188 00:11:32,200 --> 00:11:36,080 Speaker 2: Situation, that's interesting because I and then of course the 189 00:11:36,120 --> 00:11:38,480 Speaker 2: other thing. Oh sorry, I was going to say, I 190 00:11:38,520 --> 00:11:42,520 Speaker 2: did my first autopsy on a decomposed person, because they 191 00:11:42,520 --> 00:11:45,800 Speaker 2: were like, listen, this person's not going to have viewing 192 00:11:45,920 --> 00:11:50,439 Speaker 2: and I mean really decomposed maggots up to my arms 193 00:11:50,440 --> 00:11:53,480 Speaker 2: and everything. But that's they said, Okay, well you can 194 00:11:53,800 --> 00:11:56,840 Speaker 2: practice your first cuts on this person because you know 195 00:11:56,880 --> 00:11:58,200 Speaker 2: they won't be having a viewing. 196 00:11:58,720 --> 00:12:00,000 Speaker 3: So it's interesting that you say that. 197 00:12:01,240 --> 00:12:06,920 Speaker 2: Right, So, so you have this is cool because it's 198 00:12:07,040 --> 00:12:10,840 Speaker 2: you have a lab where you're studying how humans decompose 199 00:12:10,960 --> 00:12:17,280 Speaker 2: and you're actually using real humans. So where so all 200 00:12:17,320 --> 00:12:19,640 Speaker 2: I picture is because I've never been to a body farm, 201 00:12:19,679 --> 00:12:23,560 Speaker 2: I just picture huge acres of field with just dead 202 00:12:23,600 --> 00:12:27,760 Speaker 2: bodies laying all around in certain situations. Where do where 203 00:12:27,760 --> 00:12:30,079 Speaker 2: do these human bodies come from? 204 00:12:31,440 --> 00:12:36,240 Speaker 4: Right? So, the studies that are you know, operating now 205 00:12:37,360 --> 00:12:40,960 Speaker 4: are all tied to or for the most part, tied 206 00:12:41,000 --> 00:12:44,720 Speaker 4: to a willed body donation prop and so, and they're 207 00:12:44,720 --> 00:12:46,640 Speaker 4: all pretty much the same as that the one in 208 00:12:46,640 --> 00:12:50,920 Speaker 4: the Texas State, and that is is that people donate 209 00:12:50,960 --> 00:12:55,199 Speaker 4: their bodies specifically to us. We don't draw them from 210 00:12:55,240 --> 00:12:59,280 Speaker 4: some kind of you know, like a an atomical pool 211 00:12:59,400 --> 00:13:02,400 Speaker 4: or something like that. The other thing, too is that 212 00:13:03,720 --> 00:13:10,560 Speaker 4: we primarily what we prefer is people that pre register 213 00:13:11,040 --> 00:13:14,199 Speaker 4: with us before they die. So we refer to these 214 00:13:14,240 --> 00:13:19,040 Speaker 4: as our living donors, and and so we can we 215 00:13:19,160 --> 00:13:23,079 Speaker 4: get more information about them that will help us in 216 00:13:23,360 --> 00:13:25,720 Speaker 4: the research. But it also we know for a fact 217 00:13:25,720 --> 00:13:28,840 Speaker 4: that this is what they wanted and they're comfortable with that, 218 00:13:30,240 --> 00:13:33,080 Speaker 4: and so all that kind of makes a big difference 219 00:13:33,120 --> 00:13:36,080 Speaker 4: to us. You know, we really want people that well 220 00:13:36,320 --> 00:13:40,600 Speaker 4: our donated their bodies because they wanted to participate in 221 00:13:40,640 --> 00:13:46,400 Speaker 4: this kind of research and education. And as a result, 222 00:13:46,480 --> 00:13:48,600 Speaker 4: you can imagine we get a lot of people that 223 00:13:48,800 --> 00:13:53,000 Speaker 4: were you know, prior law enforcement. We get a lot 224 00:13:53,040 --> 00:13:57,920 Speaker 4: of people that were teachers while they are alive, and 225 00:13:58,240 --> 00:14:01,480 Speaker 4: you know, just people that are interested in in science. 226 00:14:01,880 --> 00:14:05,320 Speaker 4: But you know, we also get people that are you know, 227 00:14:06,040 --> 00:14:10,080 Speaker 4: want for example, a green burial and they want you know, 228 00:14:10,120 --> 00:14:12,240 Speaker 4: they don't want to be cremated, they don't want to 229 00:14:12,280 --> 00:14:17,880 Speaker 4: be buried in a coffin and you know, preserved in 230 00:14:17,960 --> 00:14:22,920 Speaker 4: that steps. So there's different reasons, but that's the main 231 00:14:22,960 --> 00:14:25,480 Speaker 4: thing is that they all have know what is going on, 232 00:14:26,240 --> 00:14:28,440 Speaker 4: you know, you know what kind of research they would 233 00:14:28,440 --> 00:14:29,600 Speaker 4: be involved with. 234 00:14:30,680 --> 00:14:34,560 Speaker 3: And where that this is. I have a million questions. 235 00:14:35,120 --> 00:14:37,320 Speaker 2: I'll try to get them out. So do you have 236 00:14:37,400 --> 00:14:40,160 Speaker 2: to do you take every single person that wants to 237 00:14:40,200 --> 00:14:43,680 Speaker 2: donate themselves to you or is there do you have 238 00:14:43,720 --> 00:14:46,400 Speaker 2: a criteria, Like we're going to talk about a little 239 00:14:46,440 --> 00:14:49,880 Speaker 2: bit later, some research that you've done on bones of 240 00:14:49,960 --> 00:14:55,640 Speaker 2: obese patients versus or not patients of disease versus not 241 00:14:55,800 --> 00:14:59,920 Speaker 2: obese people. But so like, if you're doing you're trying 242 00:14:59,920 --> 00:15:02,520 Speaker 2: to look for a specific thing that you're doing research on, 243 00:15:02,600 --> 00:15:05,880 Speaker 2: do you do you try to recruit more of those 244 00:15:06,960 --> 00:15:09,520 Speaker 2: those bodies or do you just take all of them 245 00:15:09,560 --> 00:15:12,000 Speaker 2: and then kind of separate them into what you're doing. 246 00:15:13,000 --> 00:15:19,200 Speaker 4: We we, we don't. We don't recruit in that sense. 247 00:15:20,400 --> 00:15:22,440 Speaker 4: It'd be kind of hard to do, I think to 248 00:15:22,520 --> 00:15:27,320 Speaker 4: some to some except but we we we don't. Also, 249 00:15:27,480 --> 00:15:30,880 Speaker 4: we don't accept everybody that applies, but we you know, 250 00:15:31,800 --> 00:15:35,000 Speaker 4: but if it's a person that we have registered and 251 00:15:35,080 --> 00:15:37,840 Speaker 4: they're a living donor, then we will accept them no 252 00:15:37,880 --> 00:15:41,280 Speaker 4: matter what. For next to kin donations, which is where 253 00:15:41,280 --> 00:15:45,360 Speaker 4: the family can donate the body. Uh, in those situations, yes, 254 00:15:45,480 --> 00:15:48,520 Speaker 4: it's pretty much. Part of the decision about whether or 255 00:15:48,560 --> 00:15:51,360 Speaker 4: not we would accept the individual is whether or not 256 00:15:51,440 --> 00:15:54,120 Speaker 4: they will fit into some kind of research protocol that 257 00:15:54,280 --> 00:15:55,400 Speaker 4: is going on at the time. 258 00:15:55,640 --> 00:15:57,080 Speaker 3: Okay, yeah, that's interesting. 259 00:15:57,600 --> 00:16:00,280 Speaker 2: And so you did say some people want to do 260 00:16:00,960 --> 00:16:03,800 Speaker 2: like a green burial, So are there situations where you 261 00:16:03,840 --> 00:16:07,840 Speaker 2: would just leave their body out there until it's completely 262 00:16:07,880 --> 00:16:12,520 Speaker 2: decomposed and just not like this is this is my question. 263 00:16:12,640 --> 00:16:15,720 Speaker 2: Let's say you're just trying to you're trying to research 264 00:16:15,760 --> 00:16:19,600 Speaker 2: a specific person just to see like moderate decomposition. When 265 00:16:19,600 --> 00:16:23,160 Speaker 2: you're done with that person, do you then give the 266 00:16:23,240 --> 00:16:26,120 Speaker 2: remains back to the family or do you just continue 267 00:16:26,160 --> 00:16:29,120 Speaker 2: to use it for other things and just let them 268 00:16:29,160 --> 00:16:31,600 Speaker 2: all naturally decomposed on the farm. 269 00:16:32,200 --> 00:16:35,760 Speaker 4: So we we we do not return any of the remains, 270 00:16:36,080 --> 00:16:39,480 Speaker 4: but we don't necessarily let them all just decomposed out there. 271 00:16:39,520 --> 00:16:42,400 Speaker 4: So what we will do is after the research is done, 272 00:16:43,240 --> 00:16:47,400 Speaker 4: they will get processed down to a skelton. And so 273 00:16:47,560 --> 00:16:49,760 Speaker 4: that which is also part of the training is that 274 00:16:49,960 --> 00:16:52,840 Speaker 4: you know, it allows us to teach students their osteology 275 00:16:53,840 --> 00:16:56,040 Speaker 4: and they get to see a lot of variation. But 276 00:16:56,120 --> 00:17:01,560 Speaker 4: then we we curate the skelptor remains, and those skeletons 277 00:17:01,600 --> 00:17:05,560 Speaker 4: then are used for research. And as you were talking 278 00:17:05,560 --> 00:17:09,080 Speaker 4: about with the obesity project I have going on right now, 279 00:17:09,119 --> 00:17:15,040 Speaker 4: that's what utilize those skeltaling me, there are a couple 280 00:17:15,080 --> 00:17:18,680 Speaker 4: of situations where we've had bodies that have been out 281 00:17:18,680 --> 00:17:22,600 Speaker 4: there for you know, coming on ten years or so, 282 00:17:23,040 --> 00:17:25,760 Speaker 4: and most of those there are long term studies that 283 00:17:25,800 --> 00:17:30,880 Speaker 4: are looking at like how does how does DNA degrade, Uh, 284 00:17:31,000 --> 00:17:33,240 Speaker 4: you know, where what bones are best to recover from, 285 00:17:33,320 --> 00:17:36,680 Speaker 4: what portions of the bone or best to recover from, 286 00:17:37,359 --> 00:17:42,399 Speaker 4: and whether or not, you know, just destruction of the 287 00:17:42,400 --> 00:17:45,320 Speaker 4: bone due to the sun can give us an estimation 288 00:17:45,400 --> 00:17:49,600 Speaker 4: of postporum interval in longer you know, in older cases. 289 00:17:50,560 --> 00:17:52,640 Speaker 4: So those are the kind of reasons that they would 290 00:17:52,680 --> 00:17:54,320 Speaker 4: be left out there for a long time, but at 291 00:17:54,320 --> 00:17:55,560 Speaker 4: some point they all come back in. 292 00:17:56,640 --> 00:17:59,479 Speaker 2: So you're in Texas right now. I've never I do 293 00:17:59,560 --> 00:18:01,679 Speaker 2: want to go to Texas, but I've never been there. 294 00:18:02,000 --> 00:18:05,000 Speaker 2: But it's pretty The environment from what I understand, is 295 00:18:05,040 --> 00:18:08,960 Speaker 2: like pretty dry and hot correct very hot. 296 00:18:09,080 --> 00:18:12,520 Speaker 4: Yeah, in the summer we have you know, sixty to 297 00:18:12,640 --> 00:18:18,040 Speaker 4: ninety days of over one hundred degree weather. So it's 298 00:18:19,040 --> 00:18:22,320 Speaker 4: it's a shoot, but it's not not dry like New 299 00:18:22,359 --> 00:18:25,280 Speaker 4: Mexico dried, you know, with humidity, low humidity. We have 300 00:18:25,840 --> 00:18:30,560 Speaker 4: high humidity. Where we're actually located at is right on 301 00:18:30,640 --> 00:18:35,360 Speaker 4: the edge of the coastal plains in the hill country. 302 00:18:36,040 --> 00:18:39,639 Speaker 4: So we're actually in the hill country a little bit. 303 00:18:39,680 --> 00:18:42,919 Speaker 4: So you know, you get a lot of cactus and 304 00:18:43,040 --> 00:18:46,000 Speaker 4: juniper and you know, stuff of that nature. As far 305 00:18:46,000 --> 00:18:50,199 Speaker 4: as planets, go, but it's but it's not dry like 306 00:18:50,240 --> 00:18:52,359 Speaker 4: you might see like in New Mexico, Arizona. 307 00:18:52,600 --> 00:18:56,399 Speaker 3: Oh okay, well my question is is because. 308 00:18:56,119 --> 00:18:57,720 Speaker 4: But we don't get young rain. 309 00:18:58,800 --> 00:19:00,879 Speaker 3: Oh yeah, that's that was my question. 310 00:19:00,920 --> 00:19:06,800 Speaker 2: Because when you're recreating kind of recreating the decomposition process, 311 00:19:08,119 --> 00:19:10,800 Speaker 2: how do you how do you account for it? Because 312 00:19:10,840 --> 00:19:13,000 Speaker 2: I know the environment has a lot to do with 313 00:19:13,280 --> 00:19:16,240 Speaker 2: how bodies are breaking down. Because if you had a 314 00:19:16,280 --> 00:19:19,840 Speaker 2: body decomposing in Texas, it wouldn't be the same as 315 00:19:19,880 --> 00:19:23,720 Speaker 2: it decomposing in let's say, like Savannah, Georgia in the 316 00:19:23,760 --> 00:19:27,959 Speaker 2: summer where it's just hot and super swampy, or in Alaska. 317 00:19:28,600 --> 00:19:32,639 Speaker 2: There's all different variation, even the desert. So do you 318 00:19:32,720 --> 00:19:36,320 Speaker 2: have do you have certain ways that you could mimic 319 00:19:36,600 --> 00:19:41,760 Speaker 2: a different environment, like a cold, dry environment versus a hot, 320 00:19:42,440 --> 00:19:46,240 Speaker 2: humid one. Do you guys study that we. 321 00:19:46,280 --> 00:19:49,520 Speaker 4: Can't really mimic a different environment, but what we can? 322 00:19:49,760 --> 00:19:53,320 Speaker 4: But you know, there are facilities in other areas that 323 00:19:53,480 --> 00:19:57,560 Speaker 4: we can you know, do studies in collaboration with each 324 00:19:57,600 --> 00:20:01,280 Speaker 4: other and get some ideas what's going on. You know, 325 00:20:01,359 --> 00:20:05,080 Speaker 4: there there are certain things that you can take into consideration. 326 00:20:05,800 --> 00:20:08,000 Speaker 4: So one of the things that we look at instead 327 00:20:08,040 --> 00:20:12,080 Speaker 4: of like how long somebody's been dead in calendar days, 328 00:20:12,119 --> 00:20:15,600 Speaker 4: we look at how long somebody's been dead in accumulated 329 00:20:15,640 --> 00:20:19,120 Speaker 4: degree days, which is basically the thermal energy that would 330 00:20:19,160 --> 00:20:23,399 Speaker 4: be available for the decopposition process and also for you know, 331 00:20:25,000 --> 00:20:29,080 Speaker 4: the development of maggots and bacteria and things of that nature. 332 00:20:29,680 --> 00:20:34,399 Speaker 4: So we can control that to some extent. But you know, 333 00:20:34,600 --> 00:20:40,440 Speaker 4: decomposition is a drying process, and so you know what 334 00:20:40,600 --> 00:20:44,520 Speaker 4: could happen different in you know, for example, in Georgia 335 00:20:44,640 --> 00:20:48,000 Speaker 4: versus Arizona, is that the body is going to dry 336 00:20:48,080 --> 00:20:52,080 Speaker 4: out a lot faster, uh, which is going to slow 337 00:20:52,200 --> 00:20:56,600 Speaker 4: down decopposition. Where in Georgia you're not drying the body 338 00:20:56,600 --> 00:20:59,760 Speaker 4: out as fast, and because it's so hot, humid, and 339 00:20:59,800 --> 00:21:05,000 Speaker 4: so it allows for that remove all the soft tissue 340 00:21:05,000 --> 00:21:09,160 Speaker 4: a lot wrap and so you can control for that 341 00:21:09,240 --> 00:21:10,000 Speaker 4: to some extent. 342 00:21:11,400 --> 00:21:15,040 Speaker 2: Okay, so you were talking about how sometimes that you 343 00:21:15,200 --> 00:21:17,439 Speaker 2: have people that are cleaning off the bones so you 344 00:21:17,440 --> 00:21:20,000 Speaker 2: could study them for other things. So that was my 345 00:21:20,119 --> 00:21:23,760 Speaker 2: next question. I when I did intern at Theme's office, 346 00:21:23,760 --> 00:21:28,119 Speaker 2: I had never I'd never I've only saw regular autopsies 347 00:21:28,160 --> 00:21:30,199 Speaker 2: at the hospital, so I'm used to that, just like 348 00:21:30,359 --> 00:21:33,960 Speaker 2: fresh smell of a dead body, and I'll never forget. 349 00:21:33,960 --> 00:21:36,280 Speaker 2: The office was an older office in Philly. It was 350 00:21:36,320 --> 00:21:39,199 Speaker 2: their old office. And I walked in and it was 351 00:21:39,280 --> 00:21:41,440 Speaker 2: it was a situation where you walked in, the lobby 352 00:21:41,600 --> 00:21:44,680 Speaker 2: was on the on the ground floor, and then the 353 00:21:44,680 --> 00:21:47,080 Speaker 2: morgue was in the basement and you had to walk 354 00:21:47,119 --> 00:21:51,439 Speaker 2: down the super creepy metal, old spiral staircase and I 355 00:21:51,520 --> 00:21:54,679 Speaker 2: went down about halfway and I got punched in the 356 00:21:54,720 --> 00:21:57,560 Speaker 2: face with this smell that I've never smelled in my life, 357 00:21:57,920 --> 00:22:01,800 Speaker 2: and I was like, what is that? And it was 358 00:22:02,080 --> 00:22:05,560 Speaker 2: it was a d comp was downstairs, and I just 359 00:22:05,720 --> 00:22:08,479 Speaker 2: was mind blown because right at the bottom of that 360 00:22:08,560 --> 00:22:11,600 Speaker 2: staircase all the investigators sat there and they're like they 361 00:22:11,600 --> 00:22:14,199 Speaker 2: have their legs up, They're drinking coffee, eating donuts, and 362 00:22:14,240 --> 00:22:17,040 Speaker 2: I'm like, hell, is anybody eating around this? It's just 363 00:22:17,480 --> 00:22:20,919 Speaker 2: it's just the most disturbing smell. But then obviously, like 364 00:22:20,960 --> 00:22:23,000 Speaker 2: by the end of the week, I was eating Chinese 365 00:22:23,000 --> 00:22:25,280 Speaker 2: food with them for lunch. You know, you get used 366 00:22:25,280 --> 00:22:29,440 Speaker 2: to it, but there are people that that just can't 367 00:22:29,520 --> 00:22:33,120 Speaker 2: ever get used to that smell and everything. So when 368 00:22:33,200 --> 00:22:36,800 Speaker 2: you hire somebody to work there and help out do 369 00:22:36,880 --> 00:22:40,320 Speaker 2: you have to kind of give them a test in 370 00:22:40,359 --> 00:22:42,359 Speaker 2: a certain kind of way, like, hey, this is not 371 00:22:42,520 --> 00:22:45,159 Speaker 2: like a regular dirty job, it's on another level. 372 00:22:46,000 --> 00:22:49,359 Speaker 4: Yeah. So you know, what we're doing is you know, 373 00:22:49,840 --> 00:22:52,720 Speaker 4: working with people that you know, hire as far as 374 00:22:52,720 --> 00:22:54,840 Speaker 4: people that were hiring, we've we're hiring people that have 375 00:22:54,880 --> 00:22:57,360 Speaker 4: been in the build and know what they're getting into. 376 00:22:57,400 --> 00:23:00,560 Speaker 4: As far as students go, you know, that is actually 377 00:23:00,800 --> 00:23:03,640 Speaker 4: one of the things that is beneficial about a facility 378 00:23:03,720 --> 00:23:07,920 Speaker 4: like this is that a lot of times students realize 379 00:23:07,960 --> 00:23:09,760 Speaker 4: that this is not what they want to do, is 380 00:23:09,800 --> 00:23:16,280 Speaker 4: that they can't handle the Sometimes it's the smells, sometimes 381 00:23:16,320 --> 00:23:20,800 Speaker 4: it's the the appearance. You know. So it's different for 382 00:23:20,880 --> 00:23:25,720 Speaker 4: different people, but you know, it's it's a good thing 383 00:23:25,800 --> 00:23:29,040 Speaker 4: to learn before you know you're out in the field 384 00:23:29,119 --> 00:23:32,680 Speaker 4: for the first time. You know. We also do the 385 00:23:32,720 --> 00:23:36,640 Speaker 4: same thing for what we do a day of training 386 00:23:36,760 --> 00:23:40,960 Speaker 4: for some of the local police cadet and part of 387 00:23:41,000 --> 00:23:43,320 Speaker 4: the reason for that is is just so that they 388 00:23:43,840 --> 00:23:45,960 Speaker 4: they know what decomposition is going to be like. But 389 00:23:46,000 --> 00:23:48,640 Speaker 4: they also the first time they ever see a dead 390 00:23:48,680 --> 00:23:52,800 Speaker 4: body is not when they're you know, doing an investigation. 391 00:23:53,320 --> 00:23:56,359 Speaker 2: Yeah, I can't imagine I remember the first time that 392 00:23:56,480 --> 00:23:59,480 Speaker 2: I ever went on a scene to see I had 393 00:23:59,480 --> 00:24:03,080 Speaker 2: to go pick up a dcomp with the with theme's office, 394 00:24:03,520 --> 00:24:06,240 Speaker 2: and I thought, like, how upsetting that would be for 395 00:24:06,280 --> 00:24:08,760 Speaker 2: a family to see one of your family members in 396 00:24:08,800 --> 00:24:12,600 Speaker 2: that condition, because it's just so it's not only the smell, 397 00:24:12,640 --> 00:24:14,639 Speaker 2: but just the way that they look and everything. So 398 00:24:15,240 --> 00:24:18,119 Speaker 2: I think that's cool that you teach cops and stuff 399 00:24:18,119 --> 00:24:20,080 Speaker 2: that because they're going to come across that kind of 400 00:24:20,080 --> 00:24:24,159 Speaker 2: stuff all the time. My husband's a firefighter. He sees 401 00:24:24,200 --> 00:24:27,040 Speaker 2: that stuff all the time, you know, and it can 402 00:24:27,119 --> 00:24:31,000 Speaker 2: be really disturbing, especially if you're kind of at work 403 00:24:31,040 --> 00:24:33,560 Speaker 2: when it happens and you're not really prepared for it. 404 00:24:34,040 --> 00:24:35,480 Speaker 3: So that's cool. 405 00:24:35,520 --> 00:24:37,520 Speaker 2: And I was going to ask you that like, cause 406 00:24:37,520 --> 00:24:41,440 Speaker 2: when I was doing autopsies at an academic center one time, 407 00:24:41,480 --> 00:24:45,200 Speaker 2: I had a nurse that was observing and I before 408 00:24:45,240 --> 00:24:47,919 Speaker 2: we started the autopsy, I went up in surgical pathology 409 00:24:47,920 --> 00:24:50,159 Speaker 2: and was just showing the students some stuff and I 410 00:24:50,240 --> 00:24:53,160 Speaker 2: pulled a placenta out of a bucket that had been 411 00:24:53,280 --> 00:24:56,359 Speaker 2: fixed in formaldehyde already, so it had really no like 412 00:24:56,480 --> 00:24:59,359 Speaker 2: real blood on it, just like a brownish color. And 413 00:24:59,760 --> 00:25:01,760 Speaker 2: I pull this thing out and put it on the 414 00:25:01,800 --> 00:25:05,119 Speaker 2: cutting board, and she turned white as a ghost and 415 00:25:05,480 --> 00:25:07,280 Speaker 2: had to like sit down on the floor and do 416 00:25:07,400 --> 00:25:10,680 Speaker 2: deep breathing. And I was like, you might not want 417 00:25:10,680 --> 00:25:12,720 Speaker 2: to be a nurse because this is nothing compared to 418 00:25:12,800 --> 00:25:14,760 Speaker 2: what you're going to see in real life, you know. 419 00:25:15,320 --> 00:25:17,640 Speaker 2: So I was gonna ask you, like, have you had 420 00:25:17,680 --> 00:25:21,040 Speaker 2: students drop out because they do class work and they're 421 00:25:21,080 --> 00:25:22,960 Speaker 2: totally fine and then they say it in real life 422 00:25:23,000 --> 00:25:25,040 Speaker 2: and just like can't handle it. 423 00:25:25,040 --> 00:25:27,840 Speaker 4: It happens occasionally, not very often, but occasionally it does happen. 424 00:25:34,280 --> 00:25:37,200 Speaker 2: This episode is being brought to you today by my book, 425 00:25:37,440 --> 00:25:40,760 Speaker 2: Nicole and Jemmy's Anatomy. 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You can go to thedooramatter dot com 434 00:26:09,960 --> 00:26:14,280 Speaker 2: slash book and find where you can get this great book. 435 00:26:19,359 --> 00:26:23,000 Speaker 2: So let's get into your research and everything you One 436 00:26:23,000 --> 00:26:27,200 Speaker 2: of the things I so, I I know a little 437 00:26:27,200 --> 00:26:30,959 Speaker 2: bit about the research you're doing on obese bones versus 438 00:26:31,000 --> 00:26:34,000 Speaker 2: not because not because I have done any research on it, 439 00:26:34,040 --> 00:26:37,359 Speaker 2: but just doing autopsies on I would say, you know, 440 00:26:37,520 --> 00:26:40,720 Speaker 2: ninety percent of patients or either overweight or obese that 441 00:26:40,760 --> 00:26:45,320 Speaker 2: I would do autopsies on. And one case I had 442 00:26:45,320 --> 00:26:47,720 Speaker 2: this I did we would have patients that were called 443 00:26:48,080 --> 00:26:51,320 Speaker 2: super obese, like a BMI over fifty or something like that. 444 00:26:51,840 --> 00:26:54,600 Speaker 2: And this guy had this large penis that was hanging 445 00:26:54,640 --> 00:26:58,240 Speaker 2: to one side, like a big thick section of belly skin. 446 00:26:59,200 --> 00:27:02,360 Speaker 2: And even when I did the autopsy and laid them 447 00:27:02,359 --> 00:27:04,240 Speaker 2: on the table, it was just kind of hanging to 448 00:27:04,280 --> 00:27:07,640 Speaker 2: the one side. And I was shocked when I opened 449 00:27:07,760 --> 00:27:10,880 Speaker 2: I did the y incision and his ribcage was completely 450 00:27:10,920 --> 00:27:13,600 Speaker 2: distorted from all of that weight bearing on the one 451 00:27:13,680 --> 00:27:16,320 Speaker 2: side for years and years of his life. It was 452 00:27:16,359 --> 00:27:18,840 Speaker 2: like the one side of his ribcage looked totally normal 453 00:27:18,880 --> 00:27:22,119 Speaker 2: and the other side was huge. So it was it 454 00:27:22,160 --> 00:27:25,000 Speaker 2: was really cool. So what what are what's some work 455 00:27:25,040 --> 00:27:28,119 Speaker 2: that you've been doing with that, because it's it's really interesting. 456 00:27:29,520 --> 00:27:33,159 Speaker 4: Yeah, so you know, we're we're really interested in trying 457 00:27:33,280 --> 00:27:37,920 Speaker 4: to figure out at least whether or not we can 458 00:27:38,359 --> 00:27:41,920 Speaker 4: tell whether somebody's obese or not. And then of course, 459 00:27:41,960 --> 00:27:44,400 Speaker 4: the other the other reason for doing this is that, 460 00:27:46,400 --> 00:27:50,520 Speaker 4: you know, we know a lot about clinically about gate 461 00:27:50,600 --> 00:27:54,879 Speaker 4: patterns and obese individuals and how they shift their weight 462 00:27:55,080 --> 00:27:59,280 Speaker 4: and and so it also helps us understand how bone 463 00:28:00,040 --> 00:28:04,960 Speaker 4: bonds to mechanical loading. But the idea, like I said, 464 00:28:05,080 --> 00:28:10,159 Speaker 4: is that I think currently about forty percent of people 465 00:28:10,280 --> 00:28:14,120 Speaker 4: in the United States are obese, and if you include overweight, 466 00:28:14,160 --> 00:28:19,240 Speaker 4: it jumps to about sixty percent. And so you know, 467 00:28:19,240 --> 00:28:22,359 Speaker 4: knowing if an individual is obese has a you know, 468 00:28:22,680 --> 00:28:27,440 Speaker 4: is telling us a lot about that individual. And it 469 00:28:27,560 --> 00:28:29,880 Speaker 4: also the the other thing that we know is that 470 00:28:30,000 --> 00:28:35,920 Speaker 4: carrying that extra weight has an effect on adult age indicator, 471 00:28:37,200 --> 00:28:40,719 Speaker 4: for example, because most of what you're looking at for 472 00:28:40,840 --> 00:28:43,720 Speaker 4: adult age indicator is actually wear and tear on the joints, 473 00:28:43,800 --> 00:28:46,080 Speaker 4: and so you're going to get some variation in that. 474 00:28:47,040 --> 00:28:50,240 Speaker 4: And so what we're doing is taking approach where we're 475 00:28:50,240 --> 00:28:54,040 Speaker 4: looking at how does obesity affect the shape of the 476 00:28:54,360 --> 00:28:57,040 Speaker 4: overall shape of the bone, and then how does it 477 00:28:57,080 --> 00:29:01,280 Speaker 4: affect the cross section of the shaft for example, there's 478 00:29:01,360 --> 00:29:03,560 Speaker 4: a you know, if you think about the shaft being 479 00:29:03,760 --> 00:29:11,840 Speaker 4: a beam, you know it's going to need to be thicker, uh, 480 00:29:12,160 --> 00:29:17,280 Speaker 4: you know, heavier beam to to hindle the wheat that's 481 00:29:17,320 --> 00:29:23,080 Speaker 4: associated with that. And then also the trabecular structure, which 482 00:29:23,120 --> 00:29:27,160 Speaker 4: is the uh, the fine straton bone that you have 483 00:29:27,320 --> 00:29:30,520 Speaker 4: in your joints that it absorbs a lot of energy 484 00:29:30,680 --> 00:29:36,560 Speaker 4: associated with you know, ground force reactions. And so by 485 00:29:36,640 --> 00:29:40,880 Speaker 4: looking at these different structures we can get a pretty 486 00:29:40,880 --> 00:29:43,840 Speaker 4: good idea whether the individual was obese or not. And 487 00:29:43,920 --> 00:29:46,440 Speaker 4: like I said that, right, there can be a major 488 00:29:46,520 --> 00:29:51,160 Speaker 4: factor of the biological profile because weight has been pretty 489 00:29:51,240 --> 00:29:54,840 Speaker 4: much ignored in the biological profile because in the past 490 00:29:54,880 --> 00:30:00,880 Speaker 4: it's been relatively hard to determine. And one the arguments too, 491 00:30:01,000 --> 00:30:03,640 Speaker 4: is that, well, you know, what's affecting the skeleton is 492 00:30:03,680 --> 00:30:07,080 Speaker 4: the lean body mass, and that is true, but if 493 00:30:07,120 --> 00:30:10,200 Speaker 4: you have individuals that were obese, especially if they are 494 00:30:10,240 --> 00:30:16,560 Speaker 4: obese most of their life, then they actually have a 495 00:30:16,640 --> 00:30:18,400 Speaker 4: log and slow it does affect the structure. 496 00:30:19,600 --> 00:30:23,160 Speaker 2: That's really interesting what you're saying about about the bones. 497 00:30:23,880 --> 00:30:26,280 Speaker 2: I'd never even really thought about that actually, So when 498 00:30:26,320 --> 00:30:28,800 Speaker 2: you are trying to age bones. You look at like 499 00:30:28,840 --> 00:30:32,200 Speaker 2: the articular surface to see if there's if there's any 500 00:30:32,320 --> 00:30:35,640 Speaker 2: kind of degenerative joint, which you would normally see in 501 00:30:35,680 --> 00:30:38,240 Speaker 2: an older person, but you're saying that in a younger 502 00:30:38,280 --> 00:30:41,720 Speaker 2: person that's obese, you might you might see something like that. 503 00:30:42,800 --> 00:30:48,160 Speaker 1: Right, yeah, you And in reality, right now, what we 504 00:30:48,200 --> 00:30:51,440 Speaker 1: are finding is that until we get some better data 505 00:30:52,520 --> 00:30:56,240 Speaker 1: is that we really can't even tell. 506 00:30:56,040 --> 00:30:58,920 Speaker 4: We really just have to have a broader age range 507 00:30:58,960 --> 00:31:02,560 Speaker 4: if we're looking at somebody that's obese, because what we 508 00:31:02,320 --> 00:31:04,520 Speaker 4: what we found was that, you know, when we first 509 00:31:04,560 --> 00:31:07,760 Speaker 4: started doing this research, we were thought, well, when we 510 00:31:08,240 --> 00:31:11,120 Speaker 4: when we look at obese individuals, we're going to be 511 00:31:12,280 --> 00:31:15,000 Speaker 4: overestimating their age all the time because of wear and tear. 512 00:31:15,400 --> 00:31:20,240 Speaker 4: But it turns out that that's not always true, you know, 513 00:31:20,440 --> 00:31:23,400 Speaker 4: especially in people that are you know, like you said 514 00:31:23,400 --> 00:31:25,520 Speaker 4: to have a BMI O woe or fifty or something 515 00:31:25,560 --> 00:31:28,360 Speaker 4: like that that are you know, very very obese. A 516 00:31:28,360 --> 00:31:31,360 Speaker 4: lot of times they're actually not moving around that much 517 00:31:31,680 --> 00:31:35,200 Speaker 4: and so they're not actually putting that much uh you know, 518 00:31:35,880 --> 00:31:38,680 Speaker 4: stress on those joints, and so we can have you 519 00:31:38,720 --> 00:31:45,960 Speaker 4: can get where you're actually underestimating their age as well, 520 00:31:46,240 --> 00:31:49,200 Speaker 4: so that you get a lot more variation now, you know, 521 00:31:49,960 --> 00:31:53,120 Speaker 4: to have some kind of idea of how active they are. 522 00:31:53,440 --> 00:31:56,120 Speaker 4: If you have a way that's obese and active, they 523 00:31:56,120 --> 00:31:58,240 Speaker 4: are probably going to have greater wear and tear on 524 00:31:58,280 --> 00:31:59,240 Speaker 4: those joints. 525 00:31:59,440 --> 00:32:01,960 Speaker 3: Yeah, that's there's just so many things to think of. 526 00:32:02,040 --> 00:32:03,960 Speaker 3: It's just it's just it's just so cool. 527 00:32:04,040 --> 00:32:06,520 Speaker 2: That's why your job is just really cool because there's 528 00:32:07,720 --> 00:32:10,400 Speaker 2: there's just all these little nuances that that just make 529 00:32:10,480 --> 00:32:14,440 Speaker 2: it really interesting. So now so you're at a Texas 530 00:32:14,480 --> 00:32:18,560 Speaker 2: State University and obviously you're you're a professor there and 531 00:32:18,560 --> 00:32:21,360 Speaker 2: you're doing some active research or you're working on anything 532 00:32:21,840 --> 00:32:24,480 Speaker 2: like cool that you could talk about with us. 533 00:32:25,560 --> 00:32:29,600 Speaker 4: Uh, Well, we're you know, constantly involved in different research. 534 00:32:29,680 --> 00:32:33,680 Speaker 4: So you know, out of the facility. Part of the 535 00:32:33,720 --> 00:32:38,800 Speaker 4: research that I do is actually using you know, how 536 00:32:38,840 --> 00:32:44,760 Speaker 4: do we use remote sensing to locate clandestine remains? And 537 00:32:44,880 --> 00:32:49,080 Speaker 4: so you know, in our case, we we primarily take 538 00:32:49,360 --> 00:32:54,479 Speaker 4: you know, weag just uh using a drone just because 539 00:32:54,520 --> 00:32:57,720 Speaker 4: it's easy to move around and you can get you 540 00:32:57,760 --> 00:33:00,160 Speaker 4: know up and down, you know and move around on 541 00:33:00,240 --> 00:33:04,040 Speaker 4: different things. But trying to figure out what kind of 542 00:33:04,520 --> 00:33:09,560 Speaker 4: imagery you need depending on the plain of year that 543 00:33:09,640 --> 00:33:13,560 Speaker 4: you're looking, the time of day, you're looking in the 544 00:33:13,560 --> 00:33:17,960 Speaker 4: those state of decop of your body, whether it's buried 545 00:33:18,040 --> 00:33:22,440 Speaker 4: or on the surface. And so we can use you know, 546 00:33:22,560 --> 00:33:28,760 Speaker 4: just normal red, blue, green, video or or imagery, you know, 547 00:33:29,680 --> 00:33:34,080 Speaker 4: but you could also use different spectrums where you're looking 548 00:33:34,120 --> 00:33:39,120 Speaker 4: at for example, near infrared or infrared. So infrared obviously 549 00:33:39,120 --> 00:33:43,560 Speaker 4: will give you a heat signature, and there's and nearer 550 00:33:43,640 --> 00:33:46,600 Speaker 4: for red is really near a bread is really good 551 00:33:46,680 --> 00:33:52,400 Speaker 4: for example of looking at vegetation. So one of the 552 00:33:52,400 --> 00:33:54,760 Speaker 4: things when you're looking, especially for buried remains, you're not 553 00:33:54,800 --> 00:33:57,120 Speaker 4: actually looked for the remains, you're looking for some kind 554 00:33:57,160 --> 00:34:02,640 Speaker 4: of environmental disturbance. And so UH, the vegetar the we 555 00:34:02,720 --> 00:34:05,600 Speaker 4: can use what's called the vegetative index, and that is 556 00:34:05,880 --> 00:34:08,959 Speaker 4: uh kind of gives you an idea of the help 557 00:34:09,040 --> 00:34:12,360 Speaker 4: of the thing because it reflects the floor filled differently. 558 00:34:13,000 --> 00:34:21,080 Speaker 4: And so we can usually utilize differences in the vegetative 559 00:34:21,120 --> 00:34:27,400 Speaker 4: index UH to you know, find areas of interest. We 560 00:34:27,520 --> 00:34:30,200 Speaker 4: can also use if you have a body that's in 561 00:34:30,239 --> 00:34:36,840 Speaker 4: a decomposition process, uh, buried, you can use near our infrared, 562 00:34:37,320 --> 00:34:40,279 Speaker 4: but there you have to do it during the you know, 563 00:34:40,400 --> 00:34:43,200 Speaker 4: the like the early morning before the sun comes up, 564 00:34:45,640 --> 00:34:49,360 Speaker 4: we can on the surface for example, it actually turns 565 00:34:49,360 --> 00:34:53,000 Speaker 4: out that you can use things like, uh, the algorithms 566 00:34:53,000 --> 00:34:56,719 Speaker 4: that are used in automated vehicles because they have to 567 00:34:56,719 --> 00:35:01,640 Speaker 4: be able to recognize people. Well, those same algorithms will 568 00:35:01,719 --> 00:35:05,840 Speaker 4: recognize a dead body on the surface if it's you know, 569 00:35:06,560 --> 00:35:10,319 Speaker 4: looks like a body still. So the part of what 570 00:35:10,400 --> 00:35:15,480 Speaker 4: we're doing, we are working at a big, large collaboration 571 00:35:15,640 --> 00:35:19,440 Speaker 4: between Colorado State University and then a bunch of the 572 00:35:19,480 --> 00:35:25,319 Speaker 4: other facilities looking at the microbiome associated with decomposition and 573 00:35:25,360 --> 00:35:29,440 Speaker 4: how that microbiome changes over time, and whether or not 574 00:35:29,520 --> 00:35:32,040 Speaker 4: that can be used to estimate the postpart of interval 575 00:35:32,480 --> 00:35:37,160 Speaker 4: or give us any more about the individual. You know. 576 00:35:37,239 --> 00:35:39,120 Speaker 4: I think one of the key things that we'll find 577 00:35:39,239 --> 00:35:41,439 Speaker 4: as time goes on is that, you know a lot 578 00:35:41,480 --> 00:35:45,719 Speaker 4: of how the rate at which you decomposed is associated 579 00:35:45,760 --> 00:35:48,000 Speaker 4: with the microbiome that you already have in your body. 580 00:35:48,040 --> 00:35:51,919 Speaker 4: For example, let's see, well, so we're doing fire death 581 00:35:51,960 --> 00:35:56,520 Speaker 4: investigation training and research there. So what we're looking at 582 00:35:56,800 --> 00:36:01,880 Speaker 4: is can you tell, for example, for it is a 583 00:36:01,920 --> 00:36:04,800 Speaker 4: body in a state of decomposition when it was burned 584 00:36:04,880 --> 00:36:09,800 Speaker 4: versus burned relatively fresh up and also then just looking 585 00:36:09,800 --> 00:36:14,200 Speaker 4: at the pattern of burning on the bone and along 586 00:36:14,280 --> 00:36:18,160 Speaker 4: the same lines looking at obesity and that does does 587 00:36:18,280 --> 00:36:22,200 Speaker 4: fat actually act as a buffer? You know, I mean 588 00:36:22,520 --> 00:36:26,640 Speaker 4: it's later I'm sorry, Uh, up to the fire or 589 00:36:26,680 --> 00:36:28,320 Speaker 4: does it act as a fuel source? 590 00:36:28,960 --> 00:36:29,080 Speaker 1: Uh? 591 00:36:30,080 --> 00:36:32,520 Speaker 4: Does it depend on the types of buyers and it's 592 00:36:32,560 --> 00:36:34,960 Speaker 4: been on, how long it's burned, things of that nature. 593 00:36:36,280 --> 00:36:38,080 Speaker 4: So we have a lot of things like that going 594 00:36:38,120 --> 00:36:41,759 Speaker 4: on as far as in the lab goes. We have 595 00:36:41,880 --> 00:36:46,719 Speaker 4: the large obesity research going on. We have actually a 596 00:36:46,800 --> 00:36:49,799 Speaker 4: project that I have a student that just finished our 597 00:36:49,840 --> 00:36:55,400 Speaker 4: dissertation on looking at immobility and how that affects the 598 00:36:55,440 --> 00:37:02,080 Speaker 4: skeleton and the remodeling rates that you would see. So 599 00:37:02,760 --> 00:37:05,880 Speaker 4: all kinds of research going on pretty much at all times. 600 00:37:06,880 --> 00:37:09,160 Speaker 3: Yeah, that's just it all sounds like so exciting. 601 00:37:09,200 --> 00:37:12,160 Speaker 2: Honestly, when I hear you talk about this stuff, it's 602 00:37:12,239 --> 00:37:16,360 Speaker 2: it's just cool, especially because when you were first talking 603 00:37:16,400 --> 00:37:21,440 Speaker 2: about the the using the camera and infrared and everything, 604 00:37:21,600 --> 00:37:22,640 Speaker 2: I was my first. 605 00:37:22,400 --> 00:37:24,080 Speaker 3: Thought was like, well, how could you tell the. 606 00:37:24,040 --> 00:37:28,439 Speaker 2: Difference between a dead deer versus a human? And it's 607 00:37:28,480 --> 00:37:32,319 Speaker 2: cool that you're that you could use algorithms and and 608 00:37:32,640 --> 00:37:35,800 Speaker 2: like probably some kind of AI technology at some point 609 00:37:35,840 --> 00:37:39,680 Speaker 2: to to be able to help because I'm like it, 610 00:37:39,800 --> 00:37:42,640 Speaker 2: I'm like one of these most anti AI people because 611 00:37:42,680 --> 00:37:44,160 Speaker 2: I think it's just going to be. 612 00:37:44,000 --> 00:37:46,759 Speaker 3: Really bad, like more bad than good. 613 00:37:47,400 --> 00:37:50,960 Speaker 2: But but then you hear things like this that you say, like, Okay, 614 00:37:50,960 --> 00:37:54,600 Speaker 2: well if this could help police and investigations, that that 615 00:37:54,640 --> 00:37:55,920 Speaker 2: would obviously. 616 00:37:55,440 --> 00:37:59,120 Speaker 3: Be better for for humankind. But I don't know. I 617 00:37:59,160 --> 00:37:59,600 Speaker 3: still don't know. 618 00:37:59,640 --> 00:38:01,719 Speaker 2: I'm still on the fence about thinking if we need 619 00:38:01,719 --> 00:38:04,960 Speaker 2: that stuff or not. But yeah, the other stuff that 620 00:38:05,000 --> 00:38:06,759 Speaker 2: you're talking about is really cool too. 621 00:38:07,600 --> 00:38:10,160 Speaker 4: Yeah, the case of you know, finding the Claniss remains 622 00:38:10,200 --> 00:38:12,680 Speaker 4: a lot of that has to do with just narrowing 623 00:38:12,760 --> 00:38:14,959 Speaker 4: the search area, even if you can't for sure tell 624 00:38:14,960 --> 00:38:17,359 Speaker 4: whether it's a human or not, if you can narrow 625 00:38:17,440 --> 00:38:20,080 Speaker 4: down the possibilities of where someone could be because you know, 626 00:38:20,160 --> 00:38:22,880 Speaker 4: we do a lot of searches where for example, you know, 627 00:38:23,080 --> 00:38:26,719 Speaker 4: we know that person was last seen at us at 628 00:38:26,719 --> 00:38:30,200 Speaker 4: a ranch in Texas well that ranch is five thousand makers. 629 00:38:30,239 --> 00:38:34,280 Speaker 4: That's a lot of searching that do. And of course 630 00:38:34,320 --> 00:38:37,719 Speaker 4: you know the research with the Sculpton that is, you know, 631 00:38:38,360 --> 00:38:42,880 Speaker 4: understanding sculptal variation and stuff. That's one's always excited me 632 00:38:43,120 --> 00:38:47,080 Speaker 4: as far as you know kinds up and then you 633 00:38:47,080 --> 00:38:51,160 Speaker 4: know or the research has application beyond and even forensics, 634 00:38:51,200 --> 00:38:54,640 Speaker 4: so we can use it in to understand archeological remains, 635 00:38:54,640 --> 00:38:59,319 Speaker 4: but we can even understand it to understand remains, uh, 636 00:38:59,440 --> 00:39:03,120 Speaker 4: you know, flies remains. So we've done research looking at 637 00:39:03,480 --> 00:39:07,719 Speaker 4: body masks, for example, and then using that emission to 638 00:39:08,400 --> 00:39:12,680 Speaker 4: look at body mass at home Erectus and other species. 639 00:39:12,880 --> 00:39:15,239 Speaker 2: One of the cool things about this is that you're 640 00:39:16,320 --> 00:39:19,759 Speaker 2: the evolution of humans in general. I always like love 641 00:39:19,840 --> 00:39:23,719 Speaker 2: this from a scientific perspective of that you're studying all 642 00:39:23,760 --> 00:39:26,640 Speaker 2: this obesity stuff that's kind of new in our evolution 643 00:39:27,040 --> 00:39:29,719 Speaker 2: as far as as what you would see changes in 644 00:39:29,800 --> 00:39:35,399 Speaker 2: bones and different things like us using like devices and 645 00:39:35,520 --> 00:39:40,200 Speaker 2: just sitting at computers all day versus how life used 646 00:39:40,200 --> 00:39:41,799 Speaker 2: to be. Right, I mean, now you don't even need 647 00:39:41,840 --> 00:39:43,960 Speaker 2: to go to the store, leave your house to go 648 00:39:44,040 --> 00:39:47,400 Speaker 2: Christmas shopping. It's insane. So I think the skeleton is 649 00:39:47,400 --> 00:39:49,840 Speaker 2: going to be gradually changing. It's kind of cool, like 650 00:39:50,000 --> 00:39:52,840 Speaker 2: just in your lifetime that you can be able to 651 00:39:53,080 --> 00:39:54,640 Speaker 2: work on this stuff and study it. 652 00:39:54,640 --> 00:39:56,239 Speaker 3: It's really neat. 653 00:39:55,960 --> 00:39:58,959 Speaker 4: Yeah, I have a student that is actually looking at 654 00:39:59,800 --> 00:40:03,319 Speaker 4: how all occupations affect with skeleton. And so you think 655 00:40:03,360 --> 00:40:06,680 Speaker 4: about just even the last one hundred years, you know, 656 00:40:06,800 --> 00:40:10,719 Speaker 4: you've had If you had somebody who was a a 657 00:40:10,800 --> 00:40:13,919 Speaker 4: dock worker, for example, oh you know, one hundred years ago, 658 00:40:14,000 --> 00:40:16,560 Speaker 4: that would have meant that they would have been, uh 659 00:40:17,080 --> 00:40:19,799 Speaker 4: utilizing their muscles a lot. They would have you know, 660 00:40:20,160 --> 00:40:24,880 Speaker 4: had which would have given them really strong bones. Uh, 661 00:40:25,200 --> 00:40:27,280 Speaker 4: and you'd be able to tell that from their skeleton. 662 00:40:27,760 --> 00:40:32,640 Speaker 4: But a dock worker today is basically driving a fortanly. Yeah, 663 00:40:33,480 --> 00:40:38,120 Speaker 4: you know, so they're there. They're there. It's the same occupation, 664 00:40:38,400 --> 00:40:42,239 Speaker 4: and yet because of technology, uh they it, the way 665 00:40:42,280 --> 00:40:45,160 Speaker 4: it affects their skeleton is completely different. 666 00:40:46,120 --> 00:40:48,960 Speaker 3: Yeah, it's just it's so cool. I love it. Are 667 00:40:48,960 --> 00:40:51,440 Speaker 3: you working on any other projects? 668 00:40:51,520 --> 00:40:57,040 Speaker 2: Like not not even necessarily anthropology related, but like what 669 00:40:57,120 --> 00:40:59,680 Speaker 2: are you This is just personal question, like what else 670 00:40:59,680 --> 00:41:02,680 Speaker 2: are you into besides looking at dead people decomposing? 671 00:41:03,520 --> 00:41:06,720 Speaker 4: You mean as far as polity, just your life? 672 00:41:06,760 --> 00:41:10,840 Speaker 2: Like I just I'm curious because every everyone always thinks, 673 00:41:10,960 --> 00:41:13,000 Speaker 2: like people that don't know me, they'll just think that, 674 00:41:13,080 --> 00:41:16,600 Speaker 2: like my whole life is is like skulls and dead 675 00:41:16,640 --> 00:41:19,600 Speaker 2: people and stuff, and I like I have, Like I'm 676 00:41:19,600 --> 00:41:23,000 Speaker 2: a normal person. I like other things. Besides I love 677 00:41:23,040 --> 00:41:25,160 Speaker 2: my job, but I also like other things. 678 00:41:25,239 --> 00:41:28,680 Speaker 4: Yeah. Well, so I'm a woodworker, so I do a 679 00:41:28,680 --> 00:41:30,600 Speaker 4: lot of word working. I have a shop here at home. 680 00:41:30,760 --> 00:41:31,200 Speaker 3: I love that. 681 00:41:31,920 --> 00:41:33,680 Speaker 4: I enjoy doing that kind of. 682 00:41:33,800 --> 00:41:35,239 Speaker 3: What kind of things have you made? 683 00:41:35,760 --> 00:41:40,279 Speaker 4: Oh, I've made all lots of different kitchen cabinets, and 684 00:41:40,360 --> 00:41:45,160 Speaker 4: but I also make furniture occasionally. Before I went in 685 00:41:45,160 --> 00:41:47,080 Speaker 4: and have polity, and I actually was a cabinet maker 686 00:41:48,080 --> 00:41:50,920 Speaker 4: and so now I just do it, you know, for enjoyment. 687 00:41:51,080 --> 00:41:55,480 Speaker 4: But before that, I did uh, you know, custom cabinets 688 00:41:56,719 --> 00:42:03,439 Speaker 4: and worked on things like uh, you know, bars for uh, 689 00:42:04,120 --> 00:42:09,640 Speaker 4: you know, restaurants, cash register stands for you know, different 690 00:42:10,880 --> 00:42:13,480 Speaker 4: retail outlets, things like that. Of that nature. 691 00:42:14,000 --> 00:42:15,160 Speaker 3: That's awesome. I love that. 692 00:42:15,239 --> 00:42:18,239 Speaker 2: I'm like, I'm really into It's funny too because I 693 00:42:18,560 --> 00:42:21,120 Speaker 2: do a lot of like home stuff too. I'm more 694 00:42:21,160 --> 00:42:25,000 Speaker 2: into painting and things like that and just doing little 695 00:42:25,040 --> 00:42:26,640 Speaker 2: tiny projects around the house. 696 00:42:26,680 --> 00:42:29,520 Speaker 3: But I I love that so much. It's cool. I 697 00:42:29,520 --> 00:42:29,800 Speaker 3: think it. 698 00:42:30,520 --> 00:42:34,240 Speaker 2: I think sometimes a job like ours is like really heavy, 699 00:42:34,320 --> 00:42:37,320 Speaker 2: and it's nice to just have something completely separate that 700 00:42:37,320 --> 00:42:40,520 Speaker 2: that you can wind down with and not have to 701 00:42:40,600 --> 00:42:45,160 Speaker 2: think about all of all of the sometimes horrible things 702 00:42:45,160 --> 00:42:46,960 Speaker 2: that are going on in the world. It's just like 703 00:42:47,000 --> 00:42:50,160 Speaker 2: a nice thing for your mind. Sure, well, thank you 704 00:42:50,239 --> 00:42:52,239 Speaker 2: so much for being here with us today. It was 705 00:42:52,320 --> 00:42:55,840 Speaker 2: awesome and really informative. And I hope one day I 706 00:42:55,880 --> 00:42:58,160 Speaker 2: could come visit you there and go check out the 707 00:42:58,160 --> 00:43:01,239 Speaker 2: body farm because I've never seen and obviously I'm so 708 00:43:01,400 --> 00:43:02,200 Speaker 2: interested in it. 709 00:43:02,880 --> 00:43:05,960 Speaker 4: Yeah, we'd love to have you. It's it's definitely an 710 00:43:06,000 --> 00:43:11,799 Speaker 4: interesting and you know, it's it is. Ah, it's turned 711 00:43:11,840 --> 00:43:16,440 Speaker 4: out to be, you know, a very rewarding career. I 712 00:43:16,520 --> 00:43:21,880 Speaker 4: enjoy going to work, you know, and and because of 713 00:43:21,920 --> 00:43:26,120 Speaker 4: the fact that I you know, the with the outdoor 714 00:43:26,160 --> 00:43:29,440 Speaker 4: facility and everything, I also get a lot of different 715 00:43:29,520 --> 00:43:32,120 Speaker 4: variety of the you know kind of research that I do. 716 00:43:32,200 --> 00:43:35,840 Speaker 4: I'm not you know, stop doing one single thing, you know, 717 00:43:35,880 --> 00:43:38,440 Speaker 4: And I also get to work with lots of different people, 718 00:43:39,480 --> 00:43:43,360 Speaker 4: you know, so we do you know, all kinds of things. Actually, 719 00:43:43,400 --> 00:43:45,799 Speaker 4: for example, we have a mass grave project going on 720 00:43:46,400 --> 00:43:49,600 Speaker 4: where we actually have people from five different countries working 721 00:43:49,640 --> 00:43:57,600 Speaker 4: on the project and they those include you know, apologists, biologists, microbiologists, 722 00:43:58,800 --> 00:44:06,600 Speaker 4: dog handlers, drone operators, you know, geophysicists, all kinds of 723 00:44:06,600 --> 00:44:09,320 Speaker 4: different people, so I get to see this different, different 724 00:44:09,320 --> 00:44:12,520 Speaker 4: perspective that I that I would otherwise, you know, in 725 00:44:12,600 --> 00:44:14,600 Speaker 4: most academic settings. 726 00:44:14,880 --> 00:44:15,759 Speaker 3: Yeah, that's cool too. 727 00:44:15,800 --> 00:44:18,160 Speaker 2: It's always cool to make friends with people that are 728 00:44:18,480 --> 00:44:20,319 Speaker 2: like kind of in your field but not and then 729 00:44:20,360 --> 00:44:22,319 Speaker 2: you could just learn all these other things that you 730 00:44:22,320 --> 00:44:26,080 Speaker 2: don't normally do at your job. But it's I mean, 731 00:44:26,200 --> 00:44:28,120 Speaker 2: you know, when you're when you like, if you and 732 00:44:28,200 --> 00:44:29,759 Speaker 2: I went out to dinner, we would just have a 733 00:44:29,760 --> 00:44:32,520 Speaker 2: lot to talk about because we kind of do the 734 00:44:32,560 --> 00:44:35,399 Speaker 2: same thing, but not really, but you know, all right, 735 00:44:35,440 --> 00:44:38,560 Speaker 2: well cool, thanks so much for being here. Yeah, thank you, 736 00:44:43,400 --> 00:44:47,239 Speaker 2: thank you for listening to Mother Knows Death. As a reminder, 737 00:44:47,440 --> 00:44:51,200 Speaker 2: my training is as a pathologist assistant. I have a 738 00:44:51,239 --> 00:44:55,600 Speaker 2: master's level education and specialize in anatomy and pathology education. 739 00:44:56,760 --> 00:44:58,880 Speaker 2: I am not a doctor, and I have not diagnosed 740 00:44:58,960 --> 00:45:02,600 Speaker 2: or treated anyone dead or alive without the assistance of 741 00:45:02,640 --> 00:45:07,880 Speaker 2: a licensed medical doctor. This show, my website, and social 742 00:45:07,920 --> 00:45:11,440 Speaker 2: media accounts are designed to educate and inform people based 743 00:45:11,480 --> 00:45:15,399 Speaker 2: on my experience working in pathology, so they can make 744 00:45:15,600 --> 00:45:20,280 Speaker 2: healthier decisions regarding their life and well being Always remember 745 00:45:20,280 --> 00:45:23,400 Speaker 2: that science is changing every day, and the opinions expressed 746 00:45:23,400 --> 00:45:26,080 Speaker 2: in this episode are based on my knowledge of those 747 00:45:26,120 --> 00:45:29,920 Speaker 2: subjects at the time of publication. If you are having 748 00:45:29,920 --> 00:45:33,920 Speaker 2: a medical problem, have a medical question, or having a 749 00:45:33,920 --> 00:45:38,280 Speaker 2: medical emergency, please contact your physician or visit an urgent 750 00:45:38,320 --> 00:45:43,040 Speaker 2: care center, emergency room, or hospital. Please rate, review, and 751 00:45:43,160 --> 00:45:47,680 Speaker 2: subscribe to Mother Knows Death on Apple, Spotify, YouTube, or 752 00:45:47,719 --> 00:45:49,160 Speaker 2: anywhere you get podcasts. 753 00:45:49,680 --> 00:46:00,200 Speaker 3: Thanks M