1 00:00:00,280 --> 00:00:02,840 Speaker 1: Brought to you by the reinvented two thousand twelve camera. 2 00:00:03,160 --> 00:00:07,560 Speaker 1: It's ready. Are you welcome to Stuff you should know 3 00:00:08,200 --> 00:00:16,400 Speaker 1: from house Stuff Works dot Com. Hey, and welcome to 4 00:00:16,440 --> 00:00:21,760 Speaker 1: the podcast. I'm Josh Clark. Chuck Bryant's here. That's right, Chuck. 5 00:00:21,800 --> 00:00:24,640 Speaker 1: How are you doing? I am well, how are you right? Chuck? 6 00:00:24,720 --> 00:00:28,120 Speaker 1: Let's go for a little walk, shall we? Okay, So 7 00:00:28,240 --> 00:00:31,880 Speaker 1: Chuck and I are here at the University of Tennessee 8 00:00:32,000 --> 00:00:36,519 Speaker 1: campus in beautiful Knoxville, Tennessee, and we're kind of on 9 00:00:36,560 --> 00:00:40,480 Speaker 1: the outside of campus. Um, we are in the woods basically. Yeah, 10 00:00:40,520 --> 00:00:43,040 Speaker 1: it's a little creepy out here, it is, Chuck, and 11 00:00:43,040 --> 00:00:45,040 Speaker 1: you're about to find out what actually, Chuck, watch out 12 00:00:45,040 --> 00:00:50,720 Speaker 1: what don't? Oh? Chuck? Wow, you just stepped in a corpse. Yes, 13 00:00:50,920 --> 00:00:53,479 Speaker 1: in a corpse. Yeah. That that thing really opened up 14 00:00:53,479 --> 00:00:55,360 Speaker 1: a lot more than I thought it would. Kind of 15 00:00:55,440 --> 00:00:57,520 Speaker 1: like a right cannamelon. Yeah, but it went right through. 16 00:00:57,680 --> 00:00:59,920 Speaker 1: That's gross. Yeah, I'm not sure what the cannon melon is, 17 00:01:00,040 --> 00:01:03,560 Speaker 1: but it doesn't sound like that. It's a lot nicer 18 00:01:03,560 --> 00:01:07,039 Speaker 1: than that. So okay, well, I guess we can get 19 00:01:07,040 --> 00:01:09,840 Speaker 1: out of Knoxville before anybody says anything, right, what is 20 00:01:09,840 --> 00:01:12,559 Speaker 1: this place? I'll tell you. Let's just get out of here, okay, 21 00:01:12,560 --> 00:01:17,920 Speaker 1: all right, okay, chuckers Wow, and I'm really glad you 22 00:01:18,000 --> 00:01:20,400 Speaker 1: washed your foot off back to the students through your 23 00:01:20,440 --> 00:01:23,399 Speaker 1: shoe away, got ready to jeans. It's a good thing 24 00:01:23,440 --> 00:01:26,640 Speaker 1: you weren't wearing shorts. That was groups I was up 25 00:01:26,640 --> 00:01:29,600 Speaker 1: to my ankle and body, so Chuck, I know that 26 00:01:29,760 --> 00:01:32,120 Speaker 1: was patently unnecessary that we went all the way to 27 00:01:32,200 --> 00:01:35,240 Speaker 1: Knoxville for that, but um, what we were just at 28 00:01:35,520 --> 00:01:39,920 Speaker 1: is called the body farm, right, that's the best setup 29 00:01:39,959 --> 00:01:41,959 Speaker 1: we've ever had. I know it's just for that. I'm 30 00:01:42,000 --> 00:01:44,360 Speaker 1: taking my shirt off for the rest of the podcast. 31 00:01:44,440 --> 00:01:49,160 Speaker 1: Do that. Oh dude, Okay, Chuck, I can't do that. 32 00:01:49,320 --> 00:01:53,840 Speaker 1: Yes you can. Let's talk about death baby. There's yeah, 33 00:01:53,920 --> 00:01:57,040 Speaker 1: you kid. I can't Chuck, settle it. No, he's really 34 00:01:57,040 --> 00:01:59,160 Speaker 1: gonna mess me up. Okay, all right, I'll put my 35 00:01:59,160 --> 00:02:02,720 Speaker 1: shirt back on. Hold on. Wow, we've reached new new 36 00:02:02,760 --> 00:02:06,480 Speaker 1: bows here. Okay, are you better now, big baby? I 37 00:02:06,560 --> 00:02:09,359 Speaker 1: think you can't do a podcast with a shirtless Josh. 38 00:02:09,040 --> 00:02:11,520 Speaker 1: I'm sorry. All right, Well, let's let's get back to 39 00:02:11,560 --> 00:02:15,079 Speaker 1: the to the issue at hand, body farms. Okay, Okay, 40 00:02:15,200 --> 00:02:18,359 Speaker 1: so Chuck, do you know me? I'm all about like death, Like, well, 41 00:02:18,400 --> 00:02:20,040 Speaker 1: I'm gonna die someday. I can't wait to find out 42 00:02:20,080 --> 00:02:23,239 Speaker 1: what happens. Right, So this is right up my alley. Yeah, 43 00:02:23,320 --> 00:02:24,880 Speaker 1: I thought it's a cool article. So you liked it 44 00:02:24,919 --> 00:02:27,480 Speaker 1: as well? Yeah? Written by your boyfriend Tom? Uh huh 45 00:02:27,880 --> 00:02:31,320 Speaker 1: long long time boyfriend time. Uh yeah it was good 46 00:02:31,360 --> 00:02:35,880 Speaker 1: body farms, very gruesome but necessary, cool, interesting topic. Yeah, 47 00:02:36,960 --> 00:02:39,360 Speaker 1: you just won't kick this one off of you. Well, 48 00:02:39,400 --> 00:02:41,920 Speaker 1: what do you want me to do? No, let's talk 49 00:02:41,960 --> 00:02:45,640 Speaker 1: about death first. So what the whole point of a 50 00:02:45,680 --> 00:02:48,760 Speaker 1: body farm? Is a study decomposition? Right right? That people 51 00:02:48,840 --> 00:02:50,480 Speaker 1: might not even know what one is. It's where you 52 00:02:50,520 --> 00:02:55,840 Speaker 1: study a dying or a corpse in a state of decay, 53 00:02:55,919 --> 00:02:58,960 Speaker 1: so you can learn things from that. Well, put, I 54 00:02:59,000 --> 00:03:01,800 Speaker 1: think that's right out of there. Was Actually, so there's 55 00:03:01,840 --> 00:03:05,000 Speaker 1: actually three body farms around the country, right, There's one 56 00:03:05,080 --> 00:03:10,040 Speaker 1: at Western North Carolina University, go, um some things. Uh. 57 00:03:10,080 --> 00:03:13,640 Speaker 1: There is a University of Tennessee at their main campus 58 00:03:13,720 --> 00:03:17,200 Speaker 1: at Knoxville, where we just words you're kind of volunteers. 59 00:03:17,840 --> 00:03:21,280 Speaker 1: Yeah I won't say go valls though, and you know why? Um. 60 00:03:21,360 --> 00:03:25,080 Speaker 1: And then there's another one at Texas State University, San Marcos. 61 00:03:25,960 --> 00:03:30,640 Speaker 1: That's it. Three body farms in the entire country. Are 62 00:03:30,680 --> 00:03:34,680 Speaker 1: they are really churning out the information? Right? And now? 63 00:03:34,680 --> 00:03:36,600 Speaker 1: One of the researchers pointed out that they think it 64 00:03:36,600 --> 00:03:38,120 Speaker 1: would be nice one day if there was a body 65 00:03:38,120 --> 00:03:41,840 Speaker 1: farm in each state because it's so geographically specific that 66 00:03:41,920 --> 00:03:44,200 Speaker 1: it would help to know these kind of things. Yeah, yeah, 67 00:03:44,480 --> 00:03:47,120 Speaker 1: makes sense. Yeah. I think Tennessee's got much of the 68 00:03:47,160 --> 00:03:50,720 Speaker 1: southeast covered because it's just wet and sticky down here everywhere, 69 00:03:50,760 --> 00:03:54,520 Speaker 1: and it's it's muggy and uh yeah, so any information 70 00:03:54,520 --> 00:03:56,720 Speaker 1: coming out of Tennessee probably applies to much of the 71 00:03:56,760 --> 00:03:59,800 Speaker 1: South Texas. Probably you cover the sand in the rocks 72 00:03:59,800 --> 00:04:02,160 Speaker 1: of the of the West. I would imagine what I mean, 73 00:04:02,320 --> 00:04:04,640 Speaker 1: in the sun, what happens if you die in Idaho? 74 00:04:05,040 --> 00:04:08,280 Speaker 1: Well exactly. You know, maybe it should open one in 75 00:04:08,320 --> 00:04:12,920 Speaker 1: the Pacific Northwest. Okay, suggestion, I agree? I agree? Um, alright, 76 00:04:12,960 --> 00:04:17,000 Speaker 1: so Chuck, what we're talking about his body farms. Basically, essentially, 77 00:04:17,440 --> 00:04:21,120 Speaker 1: it's just a an area attractive land. I think, um, 78 00:04:21,279 --> 00:04:26,240 Speaker 1: Knoxville's is like three hundred acres or something like that. Yeah, 79 00:04:26,279 --> 00:04:29,279 Speaker 1: it's a big one. Yeah, and then Texas is even 80 00:04:29,480 --> 00:04:31,000 Speaker 1: I think it's about ten times the size that I 81 00:04:31,040 --> 00:04:33,760 Speaker 1: think it's three thousand acres. Uh and they have um 82 00:04:33,880 --> 00:04:37,839 Speaker 1: dead bodies scattered across it. Uh. And I know Tennessee 83 00:04:37,880 --> 00:04:39,960 Speaker 1: was the first one to ever open this up, and 84 00:04:40,040 --> 00:04:43,320 Speaker 1: it was there was a guy named Dr. Bill Bass, 85 00:04:43,360 --> 00:04:46,640 Speaker 1: who you sent me a video that was awesome, Such 86 00:04:46,680 --> 00:04:49,600 Speaker 1: an affable man, I should say, Joshua. The Tennessee one 87 00:04:49,680 --> 00:04:54,440 Speaker 1: is three acre inside of a three acre area, so 88 00:04:54,480 --> 00:04:57,320 Speaker 1: the farming is actually smaller, which is one of the 89 00:04:57,320 --> 00:04:59,200 Speaker 1: reasons the residents signed off on it, because they were 90 00:04:59,200 --> 00:05:02,240 Speaker 1: a little uh skeptical. Yeah, and I can understand, I 91 00:05:02,240 --> 00:05:05,279 Speaker 1: can understand how someone would be sure. Yeah. Um, back 92 00:05:05,320 --> 00:05:08,200 Speaker 1: to bas Yeah, so Bass opened this uh the first 93 00:05:08,240 --> 00:05:11,800 Speaker 1: one in one at the University of Tennessee. And he 94 00:05:11,839 --> 00:05:14,240 Speaker 1: did it because the cops kept coming to him and 95 00:05:14,320 --> 00:05:17,240 Speaker 1: asking him, you know, if they could, um, if he 96 00:05:17,279 --> 00:05:20,800 Speaker 1: could help you know with this, uh some murder investigations 97 00:05:20,839 --> 00:05:24,680 Speaker 1: or anything like that. And um, he finally realized that 98 00:05:25,120 --> 00:05:30,400 Speaker 1: we don't know nearly enough about um decomposition as far 99 00:05:30,480 --> 00:05:33,960 Speaker 1: as it pertains to criminal investigations. So he took it 100 00:05:34,040 --> 00:05:36,880 Speaker 1: upon himself to start collecting corpses, and actually the first 101 00:05:36,920 --> 00:05:42,720 Speaker 1: ones he got were unclaimed corpses from local morgues. And 102 00:05:42,760 --> 00:05:44,760 Speaker 1: he just took him out to the body farm, which 103 00:05:44,839 --> 00:05:47,040 Speaker 1: is actually the technical name for it is the University 104 00:05:47,080 --> 00:05:51,720 Speaker 1: of Tennessee Forensic Anthropology Facility UM. And he just started 105 00:05:51,760 --> 00:05:54,880 Speaker 1: scattering him around the place and study studying them and 106 00:05:54,920 --> 00:05:58,440 Speaker 1: taking journals and logs and photos and uh noting the 107 00:05:58,520 --> 00:06:00,599 Speaker 1: rate of decay that kind of thing. Yeah, so let's 108 00:06:00,600 --> 00:06:02,960 Speaker 1: talk about the rated decay. Let's talk about decompetition. We 109 00:06:03,040 --> 00:06:07,320 Speaker 1: already handled rigor mortists and liver mortis and uh what 110 00:06:07,520 --> 00:06:11,359 Speaker 1: is alger mortis um in our rigor mortis podcast? We 111 00:06:11,360 --> 00:06:13,000 Speaker 1: want need to talk about that. We already talked about 112 00:06:13,000 --> 00:06:16,240 Speaker 1: idle auto licens too, but there's some other stuff too, 113 00:06:16,279 --> 00:06:19,600 Speaker 1: like the putrification process and the effects that has in 114 00:06:19,680 --> 00:06:23,760 Speaker 1: the body. Let's talk about that because it's gnarly. Okay, Okay, yeah, 115 00:06:23,920 --> 00:06:26,080 Speaker 1: it sounds good. Now you're talking about the flies and 116 00:06:26,120 --> 00:06:29,600 Speaker 1: the maggots. Sure, okay, we'll start there. One one way 117 00:06:29,600 --> 00:06:33,440 Speaker 1: that uh, insects actually give a lot of insight into 118 00:06:33,680 --> 00:06:35,960 Speaker 1: how long a body may have been lying there in 119 00:06:35,960 --> 00:06:38,520 Speaker 1: a state of decay. Um. I think they said flies 120 00:06:38,600 --> 00:06:41,080 Speaker 1: will go in through the orifices like the nose and 121 00:06:41,120 --> 00:06:43,279 Speaker 1: the ears. And in one of those videos that you 122 00:06:43,320 --> 00:06:46,599 Speaker 1: sent me, it shows flies going into a nose and 123 00:06:46,680 --> 00:06:51,280 Speaker 1: the the eyeball liss eye sockets. It's awesome. Yeah. So 124 00:06:51,320 --> 00:06:54,840 Speaker 1: they'll do this um within like a day of the 125 00:06:54,880 --> 00:06:57,719 Speaker 1: body dying if they have access to it. Give the 126 00:06:57,720 --> 00:07:02,400 Speaker 1: bodies outside because the body the flies and then the 127 00:07:02,520 --> 00:07:05,400 Speaker 1: lay eggs and then in twenty four hours the eggs 128 00:07:05,400 --> 00:07:10,120 Speaker 1: are hatched into larva. Yes, which a k a. Maggots, Right, 129 00:07:10,160 --> 00:07:15,000 Speaker 1: and these maggots are decaying flesh eating machines. Actually apparently 130 00:07:15,040 --> 00:07:19,679 Speaker 1: they can consume sixt of human corpse within ten days 131 00:07:19,880 --> 00:07:22,680 Speaker 1: from the inside out. And actually no, they start from 132 00:07:22,680 --> 00:07:27,000 Speaker 1: the outside in because it's laid on the fly legs, 133 00:07:27,000 --> 00:07:29,400 Speaker 1: the eggs on the skin, and then they start burrowing 134 00:07:29,440 --> 00:07:32,360 Speaker 1: in and eating and eating and eating. Well, dude, I'm 135 00:07:32,480 --> 00:07:36,560 Speaker 1: very wrong then, so um and they actually grow about 136 00:07:36,640 --> 00:07:39,560 Speaker 1: ten times in five days because they eat so much 137 00:07:39,600 --> 00:07:42,040 Speaker 1: and they're built for it too, right, right, they have 138 00:07:42,120 --> 00:07:44,520 Speaker 1: like a mouth hook what is it called. Yeah, that 139 00:07:44,680 --> 00:07:48,200 Speaker 1: that's a mouth hook that that scoops the the goo 140 00:07:48,440 --> 00:07:51,240 Speaker 1: into their mouths and then I think they're their mouth 141 00:07:51,320 --> 00:07:53,440 Speaker 1: is on one end, and they're breathing apparatus is on 142 00:07:53,480 --> 00:07:55,120 Speaker 1: the other end, so that they're just a little eating 143 00:07:55,120 --> 00:07:57,480 Speaker 1: machines and don't have to stop to breathe there. They 144 00:07:57,480 --> 00:08:00,760 Speaker 1: can just keep going literally built for it. So back 145 00:08:00,760 --> 00:08:03,320 Speaker 1: to what I was saying about the rate of decay. 146 00:08:03,360 --> 00:08:05,440 Speaker 1: They can take a look at the size of the 147 00:08:05,440 --> 00:08:08,240 Speaker 1: maggots and determine it. While if a maggot is this long, 148 00:08:08,960 --> 00:08:11,520 Speaker 1: then it's been in the human body growing for this 149 00:08:11,640 --> 00:08:13,880 Speaker 1: many days and it was probably hatched on this day, 150 00:08:14,240 --> 00:08:16,000 Speaker 1: so the body has been there for X number of 151 00:08:16,240 --> 00:08:18,400 Speaker 1: days or weeks. And that's just one type of fly. 152 00:08:18,520 --> 00:08:24,680 Speaker 1: And and this this is actually um they're called corpse fauna. No, yeah, 153 00:08:24,840 --> 00:08:27,760 Speaker 1: corpse fauna um, and just just the I think the 154 00:08:27,800 --> 00:08:30,440 Speaker 1: common house flies, the one that Tom's talking about in 155 00:08:30,440 --> 00:08:33,400 Speaker 1: this article, possibly the bottle fly. But it turns out 156 00:08:33,840 --> 00:08:39,040 Speaker 1: there is a whole ecosystem of flies that start to 157 00:08:39,040 --> 00:08:42,360 Speaker 1: come in at different stages of the decomposition process. So 158 00:08:42,440 --> 00:08:45,000 Speaker 1: some really love to pick you know, the little remnants 159 00:08:45,000 --> 00:08:49,080 Speaker 1: off a skeleton. Um. Others you know, start the whole 160 00:08:49,120 --> 00:08:52,080 Speaker 1: decomposition process and aid others like to show up when 161 00:08:52,360 --> 00:08:54,600 Speaker 1: you know, with the bodies really starting to turn to goo. 162 00:08:54,760 --> 00:08:58,280 Speaker 1: And but yeah, they study the flies and they can 163 00:08:58,320 --> 00:09:00,000 Speaker 1: figure out how long the body has been out there, 164 00:09:00,000 --> 00:09:01,559 Speaker 1: which is a big one. Yeah, this is a big 165 00:09:01,600 --> 00:09:05,520 Speaker 1: indicator for helping cops kind of figure out not motive, 166 00:09:05,640 --> 00:09:09,800 Speaker 1: but time of death stuff like that. And also, Um, 167 00:09:09,840 --> 00:09:11,840 Speaker 1: from this article, I found out that c s I 168 00:09:11,920 --> 00:09:15,280 Speaker 1: is a bunch of liars. Yeah, they never do that stuff. No, 169 00:09:15,440 --> 00:09:19,240 Speaker 1: I didn't know that blood blood stained pattern analysis, that's 170 00:09:19,280 --> 00:09:23,920 Speaker 1: not forensic. No. Um, handwriting analysis, Nope. Shooting guns into 171 00:09:23,960 --> 00:09:28,160 Speaker 1: that gel, yeah, that's all. That's not true theirs. Yeah, 172 00:09:28,280 --> 00:09:30,600 Speaker 1: which irks me to no end. Yeah, but you know 173 00:09:30,679 --> 00:09:33,240 Speaker 1: we've talked about this before. TV always sensationalizes, is that 174 00:09:33,360 --> 00:09:36,560 Speaker 1: just get over it. It wouldn't be very entertaining if 175 00:09:36,600 --> 00:09:38,600 Speaker 1: they just came by and said, well, the maggots are 176 00:09:38,640 --> 00:09:42,520 Speaker 1: twenty millimeters long. Case closed. I gotta tell you that 177 00:09:42,559 --> 00:09:45,520 Speaker 1: those videos you sent me were pretty entertaining and gruesome. Yeah. 178 00:09:45,840 --> 00:09:48,559 Speaker 1: Did you see that one guy with a big distended belly. Yes. 179 00:09:48,679 --> 00:09:52,200 Speaker 1: And actually one of the things that happens to a 180 00:09:52,320 --> 00:09:55,400 Speaker 1: corpse as well is the skin black ends right, Yeah, 181 00:09:55,400 --> 00:09:57,520 Speaker 1: and that video did point that out that certain parts 182 00:09:57,559 --> 00:10:00,160 Speaker 1: turn black. And I know when the blood collect in 183 00:10:00,240 --> 00:10:02,400 Speaker 1: certain parts. We talked about that before, certain parts of 184 00:10:02,400 --> 00:10:05,520 Speaker 1: the body will be darker and some will be more pale. Yeah, lividity. 185 00:10:05,559 --> 00:10:07,880 Speaker 1: Can we talk about deep gloving? I can't wait. I 186 00:10:07,960 --> 00:10:10,240 Speaker 1: think you should talk all about it. Yeah, it's pretty cool. 187 00:10:10,360 --> 00:10:13,400 Speaker 1: We learned this from the video as well. When um, 188 00:10:13,520 --> 00:10:15,120 Speaker 1: let's say you look at a human hand that's been 189 00:10:15,200 --> 00:10:17,679 Speaker 1: lying in the woods over the period of the days 190 00:10:17,720 --> 00:10:21,200 Speaker 1: of decay, it'll start to look really raising e like 191 00:10:21,240 --> 00:10:23,840 Speaker 1: it's been in dishwater, you know. Yeah, and then it 192 00:10:23,880 --> 00:10:26,000 Speaker 1: starts to literally you see, it starts to kind of 193 00:10:26,120 --> 00:10:29,559 Speaker 1: gather up and slide off the hand, and the epidermis 194 00:10:29,600 --> 00:10:31,920 Speaker 1: literally comes off of the hand. And they call it 195 00:10:32,000 --> 00:10:35,760 Speaker 1: d gloving. Yeah, and they actually figured out that, um, 196 00:10:35,800 --> 00:10:39,000 Speaker 1: you can take this glove, this d glove skin, so 197 00:10:39,280 --> 00:10:41,960 Speaker 1: that's kind of laying nearby the hand if you can 198 00:10:42,000 --> 00:10:43,839 Speaker 1: get to it before an animal comes up and it's 199 00:10:43,840 --> 00:10:48,480 Speaker 1: like hey yeah glove, Um you can. You can take 200 00:10:48,559 --> 00:10:52,320 Speaker 1: it into the lab, put a rubber glove on and 201 00:10:52,360 --> 00:10:56,480 Speaker 1: then put this human skin on like a glove and 202 00:10:56,520 --> 00:10:59,920 Speaker 1: then fingerprint that way. Because you know, once the one 203 00:11:00,000 --> 00:11:02,760 Speaker 1: the epidermis comes off, there goes the fingerprints, and and 204 00:11:02,880 --> 00:11:06,200 Speaker 1: forensic anthropologists like Dr Bass at the Body Farm have 205 00:11:06,280 --> 00:11:08,600 Speaker 1: figured out that you can do this. I mean, how 206 00:11:08,600 --> 00:11:12,280 Speaker 1: many just figuring that out? How many crimes have been 207 00:11:12,280 --> 00:11:14,959 Speaker 1: solved because somebody figured out you could do that? I 208 00:11:15,000 --> 00:11:17,760 Speaker 1: don't know, probably a bunch that pays for itself as 209 00:11:17,840 --> 00:11:20,160 Speaker 1: far as I'm concerned, because before that they just had 210 00:11:20,480 --> 00:11:22,800 Speaker 1: no fingerprints. They lost the finger They're like, oh well, 211 00:11:23,000 --> 00:11:24,960 Speaker 1: and now they do the buffalo bill thing and it's 212 00:11:24,960 --> 00:11:30,400 Speaker 1: all good, yeah, good bye. It puts a lotion in 213 00:11:30,440 --> 00:11:34,480 Speaker 1: the basket. That was very good. That was pretty pretty good. Okay, 214 00:11:34,559 --> 00:11:38,319 Speaker 1: So um yeah, that's dead body stuff. I'm sure we'll 215 00:11:38,360 --> 00:11:41,360 Speaker 1: get to more of it in a few um, but really, 216 00:11:41,520 --> 00:11:46,680 Speaker 1: forensic anthropologists come in most handy when there is no 217 00:11:46,800 --> 00:11:51,640 Speaker 1: flesh any longer. Yeah, but it's just bones, right because 218 00:11:51,679 --> 00:11:56,160 Speaker 1: think about it, you've you've lost any uh, any visual 219 00:11:56,200 --> 00:11:58,600 Speaker 1: identification of even you know, whether it was a man 220 00:11:58,679 --> 00:12:03,559 Speaker 1: or a woman, ethnicity, yeah, um age anything like that. 221 00:12:03,600 --> 00:12:05,920 Speaker 1: You can't just look at it like you can, you know, 222 00:12:06,320 --> 00:12:08,600 Speaker 1: like that time we found that drifter in the woods, 223 00:12:08,640 --> 00:12:11,440 Speaker 1: that one time, he was pretty new you could tell, 224 00:12:11,640 --> 00:12:15,920 Speaker 1: and we knew it was like a white probably mid thirties. Uh, 225 00:12:16,080 --> 00:12:18,880 Speaker 1: you know, male and you know, we just walked along 226 00:12:18,880 --> 00:12:20,880 Speaker 1: and minded our own business. Whatever happened to that guy? 227 00:12:21,000 --> 00:12:24,959 Speaker 1: I have no idea anyway. Um, if you if it's 228 00:12:25,000 --> 00:12:27,200 Speaker 1: just a skeleton, if that dead drifter had just been 229 00:12:27,240 --> 00:12:30,240 Speaker 1: a skeleton, then we wouldn't have been able to say 230 00:12:30,280 --> 00:12:32,439 Speaker 1: any of those things with any kind of certainty. So 231 00:12:32,880 --> 00:12:36,160 Speaker 1: when just a skeleton is found, Uh, they call in 232 00:12:36,200 --> 00:12:39,520 Speaker 1: a forensic anthropologist and they go to town. Chuck, Right, 233 00:12:39,600 --> 00:12:41,920 Speaker 1: they can still learn some of these things, Josh, as 234 00:12:41,960 --> 00:12:44,080 Speaker 1: you know, they can look at I guess the easiest 235 00:12:44,120 --> 00:12:46,040 Speaker 1: thing they can do to determine gender is to look 236 00:12:46,040 --> 00:12:49,679 Speaker 1: at the size of the bones, because typically men's bones 237 00:12:49,679 --> 00:12:52,480 Speaker 1: are larger where it attaches to the muscle. Not a 238 00:12:52,520 --> 00:12:55,719 Speaker 1: dead giveaway, no pun intended, but a good one. And 239 00:12:55,760 --> 00:13:00,560 Speaker 1: there's differences in the pelvic bone apparently. Uh. The forehead 240 00:13:00,640 --> 00:13:03,840 Speaker 1: is also a big tail tale sign and gender and race. Well, 241 00:13:03,920 --> 00:13:10,360 Speaker 1: men's foreheads tend to slope backwards and women's are more rounded. Yeah, 242 00:13:10,480 --> 00:13:13,400 Speaker 1: and looking at you, you have a very sloped rear forehead. 243 00:13:14,679 --> 00:13:17,600 Speaker 1: You can tell that's not your forehead, dude, that's your 244 00:13:17,880 --> 00:13:22,319 Speaker 1: the top of your head. And females chins usually come 245 00:13:22,320 --> 00:13:23,840 Speaker 1: to a point where a man's chin is a little 246 00:13:23,880 --> 00:13:27,280 Speaker 1: more squared off. How's my chin? It's uh beautiful, Josh, 247 00:13:27,320 --> 00:13:32,800 Speaker 1: it's beautiful. Ribs apparently can help determine age a lot 248 00:13:32,880 --> 00:13:37,239 Speaker 1: more ragged in our age they get ragged out. Yeah. Um. 249 00:13:37,320 --> 00:13:40,800 Speaker 1: And also with with men and women, and giveaway is 250 00:13:41,040 --> 00:13:46,319 Speaker 1: especially post adolescent men and women. Um is a the pelvis, Yes, 251 00:13:47,000 --> 00:13:50,440 Speaker 1: the pelvic inlet is much wider in women. Basically, the 252 00:13:50,480 --> 00:13:54,040 Speaker 1: hole in your pelvic pelvic bone is is much bigger 253 00:13:54,040 --> 00:13:56,320 Speaker 1: in women than it is in men, to allow for 254 00:13:56,480 --> 00:13:59,600 Speaker 1: easier childbirth. You got it. You don't want to pass 255 00:13:59,640 --> 00:14:02,240 Speaker 1: a kid through the pelvic inlet of a man. No, 256 00:14:02,559 --> 00:14:06,360 Speaker 1: that would be painful, Like it's not painful enough already. Um. 257 00:14:06,400 --> 00:14:09,640 Speaker 1: And then when it comes to the race, they don't 258 00:14:09,720 --> 00:14:12,880 Speaker 1: get too specific. They kind of want to say African, 259 00:14:13,000 --> 00:14:15,600 Speaker 1: Asian or European. They try to get you know, stay 260 00:14:15,640 --> 00:14:17,800 Speaker 1: pretty broad there, well, at least at first. And then 261 00:14:17,840 --> 00:14:20,280 Speaker 1: apparently there's some other signs that you can you can 262 00:14:20,360 --> 00:14:23,200 Speaker 1: kind of narrow it down even further. But those are 263 00:14:23,200 --> 00:14:25,560 Speaker 1: the first three categories they lump them in, right. Actually, 264 00:14:25,600 --> 00:14:27,600 Speaker 1: I thought it was an interesting fact. Tom hadn't here 265 00:14:27,640 --> 00:14:30,640 Speaker 1: that there were more differences within each racial group than 266 00:14:30,680 --> 00:14:34,120 Speaker 1: there are between each group as a whole, which I 267 00:14:34,160 --> 00:14:36,120 Speaker 1: don't thought it was kind of cool. Yeah, that is interesting. 268 00:14:36,160 --> 00:14:40,600 Speaker 1: And so those are bones, right, yeah, those are bones, 269 00:14:40,800 --> 00:14:43,600 Speaker 1: dem bones, dem bones. Yeah, Josh, you want to talk 270 00:14:43,600 --> 00:14:46,480 Speaker 1: about disease, of course. And then one of the big 271 00:14:46,760 --> 00:14:49,960 Speaker 1: concerns for residents that live near these body farms is, 272 00:14:50,520 --> 00:14:52,840 Speaker 1: wait a minute, they just let these bodies. I mean 273 00:14:52,880 --> 00:14:55,200 Speaker 1: sometimes as many as forty and fifty bodies out there. 274 00:14:55,600 --> 00:15:00,000 Speaker 1: We're worried about buzzards disease there. They're bad stuff get 275 00:15:00,080 --> 00:15:02,880 Speaker 1: into the water and shore by creeks, but it doesn't happen. 276 00:15:03,240 --> 00:15:06,200 Speaker 1: No one wants to drink dead body. Uh do you 277 00:15:06,240 --> 00:15:10,320 Speaker 1: know why? Why? Because if you have an infectious disease, 278 00:15:10,400 --> 00:15:15,520 Speaker 1: it's not gonna still be around after your body is decomposing. Yeah, 279 00:15:15,640 --> 00:15:21,480 Speaker 1: the the um, the infectious disease organisms also decomposed. They 280 00:15:21,480 --> 00:15:24,120 Speaker 1: don't stick around too long. But just to be certain, 281 00:15:24,280 --> 00:15:27,800 Speaker 1: any faculty or students who are you know, interacting with 282 00:15:27,880 --> 00:15:31,520 Speaker 1: these body farms, they're innoculated against all manner of stuff 283 00:15:32,200 --> 00:15:35,960 Speaker 1: because you know, you don't want to really take a chance. Sure, um, 284 00:15:36,000 --> 00:15:37,920 Speaker 1: but also they go out of their way. I think 285 00:15:37,920 --> 00:15:41,400 Speaker 1: the test um all all corpses that are donated to 286 00:15:41,480 --> 00:15:45,560 Speaker 1: them for any kind of infectious disease diseases beforehand. So 287 00:15:45,600 --> 00:15:49,120 Speaker 1: you gotta clean, clean, living corpse that you just have 288 00:15:49,240 --> 00:15:51,640 Speaker 1: out there. That's not really going to cause much problem, right, 289 00:15:51,640 --> 00:15:53,400 Speaker 1: and it should be noted too. Like you said, people 290 00:15:53,440 --> 00:15:55,480 Speaker 1: do donate. I think the one in Tennessee said they 291 00:15:55,480 --> 00:15:58,000 Speaker 1: had a list of either a list of three hundred 292 00:15:58,120 --> 00:16:01,040 Speaker 1: or they had already had three hundred bodies donated. And 293 00:16:01,120 --> 00:16:03,360 Speaker 1: you can do that just like your an organ donory. 294 00:16:03,360 --> 00:16:04,640 Speaker 1: You can say I'd like my body to go to 295 00:16:04,640 --> 00:16:06,320 Speaker 1: a body farm. After that, well, I think you want 296 00:16:06,320 --> 00:16:10,360 Speaker 1: to contact the body farm first. Hey, here's a fun 297 00:16:10,400 --> 00:16:12,840 Speaker 1: fact for you, Okay. In two thousand and six, the 298 00:16:12,920 --> 00:16:17,440 Speaker 1: University of Tennessee had more corpses and skeletons on its 299 00:16:17,480 --> 00:16:22,119 Speaker 1: campus than it had Asian students enrolled. We're about UM 300 00:16:22,320 --> 00:16:28,760 Speaker 1: nine hundred in the osteopathological collection, nine skeletons, another seven 301 00:16:28,840 --> 00:16:33,160 Speaker 1: hundred in two other skeletal collections, and then forty or 302 00:16:33,160 --> 00:16:35,640 Speaker 1: so bodies on the body farm and there are only 303 00:16:35,640 --> 00:16:41,400 Speaker 1: six D seventy three Asian students on campus. Isn't that crazy? Yeah? Yeah, crazy. 304 00:16:41,440 --> 00:16:44,360 Speaker 1: I wonder if they had any Asian bodies. I don't 305 00:16:44,400 --> 00:16:48,800 Speaker 1: know with that canceled out, okay, or maybe it would 306 00:16:48,800 --> 00:16:51,320 Speaker 1: count toward the total count both ways though, So we 307 00:16:51,440 --> 00:16:54,280 Speaker 1: canceled one another out. Okay, sure, But I mean everybody 308 00:16:54,320 --> 00:16:57,960 Speaker 1: likes to be count so counted. So what else, Josh? 309 00:16:58,000 --> 00:17:00,520 Speaker 1: Shall we talk about some of the the ways that 310 00:17:00,600 --> 00:17:04,680 Speaker 1: the body farms have helped out? You mean specifically, yeah, 311 00:17:04,760 --> 00:17:07,080 Speaker 1: e g. John Wayne Gaycy. Yeah, that's a good one. 312 00:17:07,119 --> 00:17:08,720 Speaker 1: Go ahead. And I've long been in pursuit of a 313 00:17:08,800 --> 00:17:12,359 Speaker 1: John Wayne Gacy um painting. You know, he's a prolific painter, 314 00:17:12,960 --> 00:17:16,240 Speaker 1: and I found a website finally. Yeah that he wasn't 315 00:17:16,280 --> 00:17:18,560 Speaker 1: a very good painter, but you know, just to have 316 00:17:18,600 --> 00:17:21,080 Speaker 1: a John Wayne Gaycy, it's crazy. He also loved them. 317 00:17:21,840 --> 00:17:24,920 Speaker 1: The Seven Dwarfs were a common theme of his. Really 318 00:17:25,000 --> 00:17:27,240 Speaker 1: fascinated by the Seven Dwarves for some reason. What a 319 00:17:27,320 --> 00:17:30,640 Speaker 1: creep he was a creepy dude. Yeah, yeah, Well when 320 00:17:30,720 --> 00:17:33,639 Speaker 1: Gaycey got popped in what the seventies? Yeah, I guess 321 00:17:33,640 --> 00:17:35,360 Speaker 1: if for the two of you who don't know who 322 00:17:35,359 --> 00:17:37,600 Speaker 1: that is, John Wayne Gacy is a famous serial killer 323 00:17:37,800 --> 00:17:41,400 Speaker 1: he was a serial killer of young men. Yes, he killed. Yeah, 324 00:17:41,480 --> 00:17:45,000 Speaker 1: he buried twenty nine of them under his house. Uh yeah, 325 00:17:45,400 --> 00:17:47,440 Speaker 1: I think it's not a good place. Which wasn't even 326 00:17:47,440 --> 00:17:50,320 Speaker 1: necessarily his house. It was his mother's apartment, which goes 327 00:17:50,359 --> 00:17:53,600 Speaker 1: a long way in explaining you know, John Wayne gayzy Um. 328 00:17:53,680 --> 00:17:57,200 Speaker 1: But when he finally got got busted and he started 329 00:17:57,240 --> 00:17:59,520 Speaker 1: telling the cops about how many people he had killed 330 00:18:00,240 --> 00:18:03,639 Speaker 1: that he they went out to his mother's apartment complex 331 00:18:03,680 --> 00:18:06,840 Speaker 1: and use ground penetrating radar and found basically a mass grave. 332 00:18:07,480 --> 00:18:09,640 Speaker 1: The problem is is like these bodies have been there 333 00:18:09,640 --> 00:18:11,840 Speaker 1: for a while, They've been killing kids for a real 334 00:18:11,880 --> 00:18:15,639 Speaker 1: long time, and uh, the the bones have become entangled 335 00:18:15,640 --> 00:18:17,600 Speaker 1: and they didn't know who was who or anything like that. 336 00:18:17,640 --> 00:18:20,520 Speaker 1: So they brought in forensic anthropologists and I believe they 337 00:18:21,040 --> 00:18:25,560 Speaker 1: helped to successfully identify uh most, if not all of them, right, Yeah, 338 00:18:25,680 --> 00:18:29,040 Speaker 1: So you know that's one way the body farms are contributing. Sure, 339 00:18:29,240 --> 00:18:31,399 Speaker 1: that's pretty cool. You know, they'll they'll profile the bones 340 00:18:31,440 --> 00:18:35,199 Speaker 1: and then they'll match that with data for missing kids, 341 00:18:35,240 --> 00:18:38,120 Speaker 1: and you know, one kind of leads to the other, 342 00:18:38,200 --> 00:18:41,520 Speaker 1: and that I know, it's closure somewhat for families. In 343 00:18:41,520 --> 00:18:44,640 Speaker 1: this kind of situation. Oh yeah, which is what we're 344 00:18:44,640 --> 00:18:46,760 Speaker 1: going to talk about with the Big Bopper. I think 345 00:18:46,760 --> 00:18:48,679 Speaker 1: you should talk about the Big Bopper. The Big Bopper 346 00:18:48,760 --> 00:18:51,760 Speaker 1: was a singer that perished in the plane crash with 347 00:18:52,040 --> 00:18:56,040 Speaker 1: Richie Valence and Buddy Holly back in the day, and 348 00:18:56,240 --> 00:18:59,400 Speaker 1: his son, the Big Bopper's son apparently got in touch 349 00:18:59,400 --> 00:19:03,080 Speaker 1: with Dr bat Ass because the body of the Big 350 00:19:03,119 --> 00:19:05,960 Speaker 1: Bopper was found. His name was J. P. Richardson was 351 00:19:06,000 --> 00:19:08,120 Speaker 1: found forty ft from the plane, and the Sun wanted 352 00:19:08,160 --> 00:19:10,720 Speaker 1: to know, Hey, did my dad actually die in the 353 00:19:10,760 --> 00:19:14,000 Speaker 1: crash or was he trying to go get help and 354 00:19:14,040 --> 00:19:16,760 Speaker 1: then died, you know, forty later, because I don't know 355 00:19:16,800 --> 00:19:18,639 Speaker 1: that would have made a difference in and how he 356 00:19:18,640 --> 00:19:21,480 Speaker 1: felt about Well, apparently there was a long persisting legend too, 357 00:19:22,119 --> 00:19:23,480 Speaker 1: and I guess you want to put it a rest, 358 00:19:23,640 --> 00:19:26,640 Speaker 1: and he did put a dress. Dr Bascott involved exhumed 359 00:19:26,640 --> 00:19:30,439 Speaker 1: the body and basically said, every bone in this guy's 360 00:19:30,480 --> 00:19:33,920 Speaker 1: body was crushed and there's no way that he survived 361 00:19:34,080 --> 00:19:36,919 Speaker 1: the crash and he was thrown from the plane and uh, 362 00:19:37,560 --> 00:19:39,960 Speaker 1: that's scene of that story. Yeah, so the Sun got 363 00:19:40,000 --> 00:19:42,160 Speaker 1: that that kind of closure. Can I tell one more. 364 00:19:42,600 --> 00:19:45,320 Speaker 1: All right, So there's this um this case in n 365 00:19:46,040 --> 00:19:49,240 Speaker 1: three in San Diego, a little seven year old named 366 00:19:49,240 --> 00:19:54,600 Speaker 1: Delbert apogean Um was found floating in San Diego Bay uh, 367 00:19:54,640 --> 00:19:58,280 Speaker 1: and the coroner, I guess, ruled that he had been 368 00:19:58,800 --> 00:20:03,440 Speaker 1: sodomized and um sexually assaulted in other ways before being murdered. 369 00:20:04,880 --> 00:20:07,680 Speaker 1: But they never found the killer. And then apparently San 370 00:20:07,720 --> 00:20:11,760 Speaker 1: Diego got some federal funding uh for opening cold cases, 371 00:20:11,880 --> 00:20:13,520 Speaker 1: and this was one of the ones they went after. 372 00:20:13,920 --> 00:20:17,000 Speaker 1: So they hired a forensic anthropologist and showed him, you know, 373 00:20:17,119 --> 00:20:21,480 Speaker 1: old crime scene photos and notes from the detectives that 374 00:20:21,560 --> 00:20:25,000 Speaker 1: worked the case. And I imagine it probably took the 375 00:20:25,040 --> 00:20:28,840 Speaker 1: forensic anthropologists an hour or ten minutes to say, no, 376 00:20:28,960 --> 00:20:32,480 Speaker 1: this kid wasn't sodomized or murdered. Yeah, the thing is 377 00:20:32,520 --> 00:20:35,440 Speaker 1: back then, no idea, No one was studying this kind 378 00:20:35,480 --> 00:20:38,679 Speaker 1: of thing. Nowadays, we know that when the body reacts 379 00:20:38,680 --> 00:20:42,359 Speaker 1: with water, all manner of nasty things happened. Bodies breakdown 380 00:20:42,760 --> 00:20:46,040 Speaker 1: twice as fast in the water, right, which is why 381 00:20:46,119 --> 00:20:49,040 Speaker 1: a lot of people dispose of murder victims in in 382 00:20:49,200 --> 00:20:52,240 Speaker 1: lakes or exact. And I guess why these cops weren't 383 00:20:52,240 --> 00:20:54,359 Speaker 1: able to really tell much, right, I think, well, not 384 00:20:54,440 --> 00:20:57,040 Speaker 1: only that they were just misling over the course of 385 00:20:57,119 --> 00:21:00,720 Speaker 1: these this the decades of study of decomposition, this forensic 386 00:21:01,000 --> 00:21:03,520 Speaker 1: if the apologist was able to say this kid wasn't murdered, 387 00:21:03,560 --> 00:21:06,679 Speaker 1: close your cold case, right yeah cool. Yeah. And then 388 00:21:06,720 --> 00:21:09,119 Speaker 1: one of the researchers I saw from that video at 389 00:21:09,119 --> 00:21:11,840 Speaker 1: Tennessee is trying to put together a book, like a 390 00:21:11,880 --> 00:21:15,240 Speaker 1: reference guide for various states of the case. It was 391 00:21:15,240 --> 00:21:17,640 Speaker 1: really yeah, cops kind of look at this instead of 392 00:21:17,960 --> 00:21:19,520 Speaker 1: having a truck all the way up to the body 393 00:21:19,560 --> 00:21:22,000 Speaker 1: farm like we did. Well, yeah, and I got the 394 00:21:22,000 --> 00:21:23,880 Speaker 1: the idea it was going to be like, Okay, here's 395 00:21:23,880 --> 00:21:28,720 Speaker 1: a picture of a body that's been underwater for seven days, um, 396 00:21:28,800 --> 00:21:31,280 Speaker 1: and you know, hold it up against your body, and 397 00:21:31,520 --> 00:21:34,320 Speaker 1: what doesn't look the same will continue to the next page. 398 00:21:34,760 --> 00:21:37,080 Speaker 1: So yeah, I guess it's going to be like a 399 00:21:37,080 --> 00:21:41,000 Speaker 1: an illustrated atlas of decomposition, the old guide, right. I 400 00:21:41,040 --> 00:21:42,520 Speaker 1: would love to get my hands on that one day 401 00:21:42,560 --> 00:21:44,240 Speaker 1: when it's done. Yeah, I'd love to go to the 402 00:21:44,280 --> 00:21:48,080 Speaker 1: body farm. I mean again, you know, you mean go 403 00:21:48,119 --> 00:21:50,840 Speaker 1: back here right right. Yeah. They talked to Tom and 404 00:21:50,880 --> 00:21:53,280 Speaker 1: I asked him if he had gone, uh, And he 405 00:21:53,400 --> 00:21:55,480 Speaker 1: was like, no, they don't. They learned a long time 406 00:21:55,520 --> 00:21:59,080 Speaker 1: ago not to let journalists are weirdos in Yeah. Yeah. 407 00:21:59,240 --> 00:22:01,360 Speaker 1: So the guy us describing the smell in the video. 408 00:22:01,400 --> 00:22:03,800 Speaker 1: I thought that was interesting. He said. It was didn't 409 00:22:03,800 --> 00:22:06,080 Speaker 1: smell like a dead animal, like that familiar smell of 410 00:22:06,119 --> 00:22:08,240 Speaker 1: that when you smell a dan animal. He said, it's 411 00:22:08,320 --> 00:22:10,720 Speaker 1: very different. He said it's unmistakable. Yeah. He said it 412 00:22:10,760 --> 00:22:14,840 Speaker 1: was pungent and sweet. Yeah, well you smell that interesting. Sure, 413 00:22:15,600 --> 00:22:20,760 Speaker 1: So that's body farms. Um, yeah, anything else, I don't. 414 00:22:20,800 --> 00:22:23,239 Speaker 1: I don't really have anything else about two. Nope. All right, 415 00:22:23,359 --> 00:22:30,080 Speaker 1: So I guess let's just go straight to listener mail. Josh, 416 00:22:30,119 --> 00:22:33,439 Speaker 1: we're going to uh, we're gonna ask our listeners for 417 00:22:33,440 --> 00:22:35,320 Speaker 1: a little information here. Because I didn't know the answer 418 00:22:35,320 --> 00:22:38,439 Speaker 1: to this question. We rarely tossed that out. So we 419 00:22:38,560 --> 00:22:43,439 Speaker 1: had Poloma right in from California. And Poluma said, a 420 00:22:43,440 --> 00:22:47,880 Speaker 1: longtime listener, I love your podcast. It makes my commute enjoyable. 421 00:22:48,080 --> 00:22:50,560 Speaker 1: And Josh, you chose Chuck as your partner in crime, 422 00:22:50,560 --> 00:22:53,160 Speaker 1: and you all have the great chemistry. Blah blah blah. 423 00:22:54,240 --> 00:22:58,440 Speaker 1: Could we resist each other now? It's destiny? Uh? So 424 00:22:58,480 --> 00:23:00,560 Speaker 1: she says this. I had a very variants. A few 425 00:23:00,600 --> 00:23:03,359 Speaker 1: days ago. It was a soupy day, a bit chilly, 426 00:23:03,640 --> 00:23:05,919 Speaker 1: with a few sprinkles of rain here and there. I 427 00:23:05,960 --> 00:23:07,959 Speaker 1: was over at my mother's house having a chat inside 428 00:23:07,960 --> 00:23:11,159 Speaker 1: when suddenly there was an incredibly bright, white and blue 429 00:23:11,800 --> 00:23:14,760 Speaker 1: flash and a quick zapping sound. I thought a light 430 00:23:14,760 --> 00:23:16,919 Speaker 1: bulb had burned out in the room or something. My 431 00:23:17,000 --> 00:23:19,440 Speaker 1: mother said that she saw a white bolt come through 432 00:23:19,440 --> 00:23:22,199 Speaker 1: the wall, passed just in front of my face, and 433 00:23:22,200 --> 00:23:25,119 Speaker 1: then go through the opposite wall of the room. We 434 00:23:25,160 --> 00:23:26,800 Speaker 1: looked everywhere and tried to think of any kind of 435 00:23:26,880 --> 00:23:30,000 Speaker 1: rational explanation. No bull would gun out, no strobe lights 436 00:23:30,080 --> 00:23:34,440 Speaker 1: or camera to flash. Thirty seconds after this weird phenomenon happened, 437 00:23:34,840 --> 00:23:39,000 Speaker 1: we heard thunder rumble very nearby. After calming down, I 438 00:23:39,000 --> 00:23:42,400 Speaker 1: immediately thought of YouTube. You have answers for everything, so 439 00:23:42,440 --> 00:23:44,760 Speaker 1: she will think of us when they narrowly escaped death. 440 00:23:44,760 --> 00:23:47,359 Speaker 1: Where their first thought? So she says, what in the 441 00:23:47,400 --> 00:23:49,520 Speaker 1: world happened? Do you think it was lightning? Was its 442 00:23:49,560 --> 00:23:52,760 Speaker 1: static electricity? What's going on here? Has anyone died of 443 00:23:52,800 --> 00:23:55,560 Speaker 1: static electricity? So I don't know the answer. I did 444 00:23:55,560 --> 00:23:59,280 Speaker 1: look up and found out that no one can die 445 00:23:59,320 --> 00:24:02,359 Speaker 1: of statical like tricity that I found that unless unless 446 00:24:02,640 --> 00:24:07,320 Speaker 1: results in spontaneous human combustion. H And as far as 447 00:24:07,320 --> 00:24:09,840 Speaker 1: I don't know, I don't think lightning can pass through 448 00:24:09,840 --> 00:24:11,359 Speaker 1: the room of a house like that, So so I 449 00:24:11,400 --> 00:24:13,720 Speaker 1: don't think it goes right in front of your face. 450 00:24:13,760 --> 00:24:15,680 Speaker 1: I think if it's coming that close to you, goes 451 00:24:16,000 --> 00:24:17,920 Speaker 1: right into you right and you would know. Well, because 452 00:24:17,920 --> 00:24:20,400 Speaker 1: we had the other listener mail that I think had 453 00:24:20,440 --> 00:24:24,720 Speaker 1: the side strike three blocks away he was at. So Paloma, 454 00:24:24,760 --> 00:24:27,080 Speaker 1: we don't have an answer, but I'm hoping some listeners 455 00:24:27,080 --> 00:24:29,159 Speaker 1: out there that are smarter than we are might have 456 00:24:29,320 --> 00:24:31,320 Speaker 1: a clue as to what happened that day. My money's 457 00:24:31,320 --> 00:24:34,639 Speaker 1: on unicorns, So maybe we'll follow up on this if 458 00:24:34,640 --> 00:24:37,000 Speaker 1: we get some feedback. Yeah, if you have an answer 459 00:24:37,119 --> 00:24:40,760 Speaker 1: for Paloma, especially if it's unicorns, you can send us 460 00:24:40,800 --> 00:24:46,520 Speaker 1: an email solving this mystery to stuff podcasts how stuff 461 00:24:46,560 --> 00:24:53,760 Speaker 1: works dot Com for more on this and thousands of 462 00:24:53,800 --> 00:24:57,120 Speaker 1: other topics. Does it how stuff works dot Com. Want 463 00:24:57,200 --> 00:24:59,800 Speaker 1: more how stuff works? Check out our blogs on the 464 00:24:59,840 --> 00:25:04,800 Speaker 1: how also works dot Com home page. Brought to you 465 00:25:04,840 --> 00:25:08,200 Speaker 1: by the Reinvented two thousand twelve camera it's ready. Are 466 00:25:08,240 --> 00:25:08,359 Speaker 1: you