1 00:00:00,480 --> 00:00:05,080 Speaker 1: This story contains adult content and language. Listener discretion is advised. 2 00:00:13,119 --> 00:00:18,560 Speaker 2: The actual corporate serial killers who just deliberately went out 3 00:00:19,120 --> 00:00:23,520 Speaker 2: and poisoned generations of children deliberately. 4 00:00:29,760 --> 00:00:33,599 Speaker 1: I'm Kate Winkler Dawson, a nonfiction author and journalism professor 5 00:00:33,680 --> 00:00:36,400 Speaker 1: in Austin, Texas. I'm also the co host of the 6 00:00:36,440 --> 00:00:40,280 Speaker 1: podcast Buried Bones on Exactly Right, and throughout my career, 7 00:00:40,560 --> 00:00:44,280 Speaker 1: research for my many audio and book projects has taken 8 00:00:44,360 --> 00:00:47,600 Speaker 1: me around the world. On Wicked Words, I sit down 9 00:00:47,640 --> 00:00:52,360 Speaker 1: with the people I've met along the way, amazing writers, journalists, filmmakers, 10 00:00:52,360 --> 00:00:56,800 Speaker 1: and podcasters who have investigated and reported on notorious true 11 00:00:56,800 --> 00:01:00,560 Speaker 1: crime cases. This is about the choices writers mate, both 12 00:01:00,640 --> 00:01:03,560 Speaker 1: good and bad, and it's a deep dive into the 13 00:01:03,680 --> 00:01:09,720 Speaker 1: unpublished details behind their stories. This week's author grew up 14 00:01:09,760 --> 00:01:13,600 Speaker 1: in the Pacific Northwest with the memories of notorious serial 15 00:01:13,680 --> 00:01:17,280 Speaker 1: killers like Ted Bundy and the Green River Killer who 16 00:01:17,319 --> 00:01:20,319 Speaker 1: also lived there. But the region wasn't just home to 17 00:01:20,400 --> 00:01:24,039 Speaker 1: those two murderers. There were many more. Was there a 18 00:01:24,120 --> 00:01:29,560 Speaker 1: connection between the Pacific Northwest's most infamous killers and its 19 00:01:29,600 --> 00:01:34,360 Speaker 1: incredible amounts of pollution? Caroline Fraser thinks so, and she 20 00:01:34,440 --> 00:01:39,160 Speaker 1: explains why in her book Murderland, Crime and Bloodlust in 21 00:01:39,240 --> 00:01:44,800 Speaker 1: the Time of serial Killers. First, let's talk about the 22 00:01:44,800 --> 00:01:47,600 Speaker 1: book where our listeners might have heard of you from, 23 00:01:47,600 --> 00:01:50,640 Speaker 1: like the real big book, which I think is just amazing. 24 00:01:51,320 --> 00:01:54,880 Speaker 2: Yeah, that was my previous book, Prairie Fires, which was 25 00:01:54,920 --> 00:01:59,680 Speaker 2: a biography of Laura Engelswilder. And one of the things 26 00:01:59,720 --> 00:02:02,400 Speaker 2: that I I was able to do in that book 27 00:02:02,520 --> 00:02:06,400 Speaker 2: was able to talk about with the crazy ecological history 28 00:02:06,480 --> 00:02:10,360 Speaker 2: of the Great Planes and what happened to the Ingles family, 29 00:02:11,080 --> 00:02:14,680 Speaker 2: who were very you know, typical of pioneers who went 30 00:02:14,720 --> 00:02:17,919 Speaker 2: out there and kind of found themselves ruined, but were 31 00:02:17,960 --> 00:02:22,399 Speaker 2: themselves also ruining the Great Planes and so so that 32 00:02:22,680 --> 00:02:26,760 Speaker 2: you know, had ramifications that would last for decades and 33 00:02:27,000 --> 00:02:30,000 Speaker 2: end up in the you know, des Bowl and so forth. 34 00:02:30,080 --> 00:02:34,079 Speaker 2: So that was, you know, the ecological history is something 35 00:02:34,160 --> 00:02:36,480 Speaker 2: that I've always really been interested in. 36 00:02:36,880 --> 00:02:38,600 Speaker 1: Do you have a background in that? Is that something 37 00:02:38,639 --> 00:02:39,919 Speaker 1: you might have studied in college. 38 00:02:40,320 --> 00:02:43,400 Speaker 2: I remember as a kid reading Ranger Rick magazine and 39 00:02:43,480 --> 00:02:47,160 Speaker 2: learning about Rachel Carson, and you know, so I've always 40 00:02:47,160 --> 00:02:52,640 Speaker 2: been really really interested in conservation and the environment. And 41 00:02:52,720 --> 00:02:56,240 Speaker 2: my second book, which was called Rewilding the World was 42 00:02:56,280 --> 00:03:01,640 Speaker 2: about conservation projects. So I do have some background as 43 00:03:01,680 --> 00:03:05,919 Speaker 2: a you know, enthusiast. I'm really sort of an amateur. 44 00:03:06,040 --> 00:03:09,680 Speaker 2: I'm not you know, professional, I'm not a biologist, but 45 00:03:09,800 --> 00:03:12,400 Speaker 2: it's something I've always been interested in writing about. 46 00:03:12,800 --> 00:03:15,359 Speaker 1: So my very first book was called Death in the 47 00:03:15,400 --> 00:03:17,520 Speaker 1: Air and it was about the nineteen fifty two air 48 00:03:17,560 --> 00:03:21,440 Speaker 1: pollution disaster that happened in London. And I remember pitching 49 00:03:21,440 --> 00:03:23,920 Speaker 1: that first. I don't even think it made it to 50 00:03:23,960 --> 00:03:26,800 Speaker 1: my editor. I think my agent said, I don't know 51 00:03:26,800 --> 00:03:28,400 Speaker 1: if this is going to make it as a book, 52 00:03:29,080 --> 00:03:31,560 Speaker 1: because I didn't know how many people were that were 53 00:03:31,600 --> 00:03:33,800 Speaker 1: going to be that interested in the systemic issue of 54 00:03:33,840 --> 00:03:38,160 Speaker 1: pollution and you know, the all of the sulfi dioxide 55 00:03:38,200 --> 00:03:39,800 Speaker 1: and all of the talk I had to get into. 56 00:03:39,920 --> 00:03:42,760 Speaker 1: But when you make it collide with a serial killer 57 00:03:42,800 --> 00:03:46,600 Speaker 1: and of so many dramatic stories that comes with stories 58 00:03:46,640 --> 00:03:51,280 Speaker 1: about pollution and people dying and government cover up and everything, 59 00:03:51,360 --> 00:03:54,400 Speaker 1: then then it made it sort of a mainstream story. 60 00:03:54,760 --> 00:03:58,440 Speaker 1: Have you found that too? Was it the environmental part 61 00:03:58,520 --> 00:04:01,840 Speaker 1: first for you or was it the story first and 62 00:04:01,880 --> 00:04:04,760 Speaker 1: you discovered there was this ecological connection? 63 00:04:05,600 --> 00:04:08,480 Speaker 2: Yeah, well, well, just first I know that book and 64 00:04:08,520 --> 00:04:10,880 Speaker 2: I have it, and I love it. I think it's 65 00:04:10,920 --> 00:04:15,000 Speaker 2: a really great contribution to the whole sort of air 66 00:04:15,080 --> 00:04:19,279 Speaker 2: pollution thank you thing, which sounds so technical, but it's 67 00:04:19,360 --> 00:04:24,040 Speaker 2: really so fascinating. And I think I first heard about 68 00:04:24,080 --> 00:04:28,080 Speaker 2: that whole thing through The Crown, you know, that episode 69 00:04:28,120 --> 00:04:30,080 Speaker 2: of The Crown, and then I kind of went looking 70 00:04:30,120 --> 00:04:33,159 Speaker 2: for more stuff about it and found your book, which 71 00:04:33,680 --> 00:04:39,279 Speaker 2: is just so fascinating. The first thing that came along 72 00:04:39,360 --> 00:04:43,680 Speaker 2: for me was was really the whole serial killer aspect 73 00:04:43,760 --> 00:04:47,240 Speaker 2: of this. I grew up in the Northwest in the 74 00:04:47,320 --> 00:04:51,960 Speaker 2: nineteen seventies near Seattle, so I was around, you know, 75 00:04:52,040 --> 00:04:55,520 Speaker 2: I was like thirteen in nineteen seventy four when the 76 00:04:55,560 --> 00:04:59,040 Speaker 2: whole Ted Bundy thing started happening and all these women 77 00:04:59,640 --> 00:05:03,560 Speaker 2: began disappearing from the area and from the region, and 78 00:05:04,279 --> 00:05:06,080 Speaker 2: so that was kind of very much. 79 00:05:05,880 --> 00:05:06,600 Speaker 1: In my mind. 80 00:05:06,760 --> 00:05:09,520 Speaker 2: And all the time in the Northwest, you're reading these 81 00:05:09,560 --> 00:05:12,599 Speaker 2: headlines about, you know, why are there so many serial 82 00:05:12,720 --> 00:05:17,120 Speaker 2: killers here? And I'd always wondered about that, like was 83 00:05:17,200 --> 00:05:21,400 Speaker 2: this just a urban myths or legend? Was there really 84 00:05:21,440 --> 00:05:24,760 Speaker 2: something to it? And I was always curious about that. 85 00:05:25,640 --> 00:05:27,760 Speaker 2: So that was kind of the first piece in my mind. 86 00:05:27,760 --> 00:05:30,760 Speaker 2: But I never really envisioned writing a book about it. 87 00:05:30,760 --> 00:05:34,400 Speaker 2: It was just kind of something I was interested in. 88 00:05:34,600 --> 00:05:38,920 Speaker 2: But a few years ago it did happen. Upon some 89 00:05:39,080 --> 00:05:44,960 Speaker 2: additional information about where these guys came from. Ted Bundy 90 00:05:45,040 --> 00:05:49,520 Speaker 2: grew up in Tacoma. Gary Ridgeway, who would later be 91 00:05:49,720 --> 00:05:54,039 Speaker 2: the Green River Killer, he grew up quite close to 92 00:05:54,640 --> 00:05:58,240 Speaker 2: SeaTac Airport, which is between Tacoma and Seattle, so he 93 00:05:58,440 --> 00:06:01,839 Speaker 2: was right in that. Rea and I also read a 94 00:06:02,160 --> 00:06:05,960 Speaker 2: biography of Charles Manson and learned that he was in 95 00:06:06,000 --> 00:06:09,880 Speaker 2: the area at the same time as those guys were 96 00:06:09,920 --> 00:06:14,640 Speaker 2: growing up. He was on McNeil Island, incarcerated in the 97 00:06:14,680 --> 00:06:18,320 Speaker 2: federal prison just off Tacoma. And I just thought, Wow, 98 00:06:18,400 --> 00:06:23,440 Speaker 2: that's a really weird coincidence, Like, how did these guys 99 00:06:23,560 --> 00:06:29,920 Speaker 2: all spring from this one sort of obscure city. And 100 00:06:30,320 --> 00:06:34,919 Speaker 2: as I was kind of pondering that, I learned about 101 00:06:35,120 --> 00:06:41,160 Speaker 2: the smelter that was in Tacoma, the Osarco Smelter, sort 102 00:06:41,160 --> 00:06:44,880 Speaker 2: of by accident. I mean, Tacoma has always been known 103 00:06:44,960 --> 00:06:51,760 Speaker 2: as this really heavily industrialized city and it smelled terrible. 104 00:06:51,920 --> 00:06:55,039 Speaker 2: I mean, up until just a few years ago, there 105 00:06:55,160 --> 00:07:00,440 Speaker 2: was something called the Aroma of Tacoma, and Beddy, who 106 00:07:00,520 --> 00:07:03,400 Speaker 2: had been there, knew about that, and a lot of 107 00:07:03,400 --> 00:07:05,919 Speaker 2: it was from a pulp mill. But there were so 108 00:07:06,080 --> 00:07:12,320 Speaker 2: many you know, smelters and plants and refining plants and factories, 109 00:07:12,360 --> 00:07:15,240 Speaker 2: and you know, you didn't even really know what was 110 00:07:15,440 --> 00:07:20,040 Speaker 2: doing what. But I did learn about the smelter actually 111 00:07:20,040 --> 00:07:25,000 Speaker 2: by reading a real estate ad for a nearby place 112 00:07:25,040 --> 00:07:30,720 Speaker 2: on Vashion Island that said something about arsenic remediation. I mean, 113 00:07:30,760 --> 00:07:33,800 Speaker 2: I know Vashon Island because we used to have friends there, 114 00:07:34,040 --> 00:07:38,920 Speaker 2: and it's a beautiful, you know, rural spot just off 115 00:07:38,960 --> 00:07:43,720 Speaker 2: West Seattle in Puget Sound, and I just couldn't fathom, like, 116 00:07:44,560 --> 00:07:48,720 Speaker 2: how did they get arsenic and Fashion Island And so 117 00:07:48,960 --> 00:07:52,320 Speaker 2: you know, started googling that, and like five minutes later, 118 00:07:52,400 --> 00:07:55,720 Speaker 2: I'm deeply into the history of smelting. 119 00:07:57,000 --> 00:08:01,040 Speaker 1: Well, what is smelting? Is that melting down and creating 120 00:08:01,080 --> 00:08:03,280 Speaker 1: something else with them? Is that what that is? Yeah? 121 00:08:03,280 --> 00:08:05,200 Speaker 2: And I think a lot of people I don't think 122 00:08:05,240 --> 00:08:08,680 Speaker 2: I really understood what it was when I first started 123 00:08:08,880 --> 00:08:13,080 Speaker 2: reading about it. I think it's such a sort of 124 00:08:13,640 --> 00:08:18,400 Speaker 2: specific to the era of the you know, eighteen hundreds 125 00:08:18,440 --> 00:08:22,080 Speaker 2: and nineteen hundreds, because that's when all this stuff really 126 00:08:22,120 --> 00:08:26,200 Speaker 2: needed to be made. We needed metal, and so these 127 00:08:26,960 --> 00:08:30,400 Speaker 2: these smelters sprang up. And yes, they were taking in 128 00:08:31,320 --> 00:08:35,440 Speaker 2: rocks or ores that had metal in them from mines 129 00:08:36,240 --> 00:08:40,440 Speaker 2: and then essentially heating them and smelting them, which means 130 00:08:40,559 --> 00:08:45,840 Speaker 2: just taking apart, you know, the different components, the metallic 131 00:08:45,920 --> 00:08:49,800 Speaker 2: components that are in those ores and separating the silver 132 00:08:50,000 --> 00:08:55,680 Speaker 2: and the gold and the arsenic and the lead and 133 00:08:55,160 --> 00:09:00,760 Speaker 2: copper really became the chief metal that was being smelted 134 00:09:00,880 --> 00:09:03,959 Speaker 2: in a lot of these places. But since all these 135 00:09:04,000 --> 00:09:09,720 Speaker 2: other metals existed, they were also finding ways to monetize, 136 00:09:09,920 --> 00:09:13,880 Speaker 2: as we would now say, and arsenic was used to 137 00:09:14,000 --> 00:09:19,480 Speaker 2: create pesticides and insecticides that were used in the forties 138 00:09:19,480 --> 00:09:22,719 Speaker 2: and fifties, and you know they were actually used in 139 00:09:23,600 --> 00:09:28,240 Speaker 2: eastern Washington on the apple orchards and so forth. So 140 00:09:29,240 --> 00:09:32,360 Speaker 2: it was a huge industry at one time. It no 141 00:09:32,480 --> 00:09:35,120 Speaker 2: longer is. I mean, most of the smelters in this 142 00:09:35,240 --> 00:09:40,360 Speaker 2: country have cloths due to EPA regulations. But at the 143 00:09:40,400 --> 00:09:43,640 Speaker 2: time that I was growing up, and when Ted Bundy 144 00:09:43,720 --> 00:09:47,120 Speaker 2: and Carrie Ridgeway were growing up in the Northwest, that 145 00:09:47,240 --> 00:09:51,640 Speaker 2: plant was putting tons of lead and arsenic into the air. 146 00:09:52,320 --> 00:09:55,240 Speaker 1: Were there lawsuits happening in this time period at all? 147 00:09:55,400 --> 00:09:58,560 Speaker 1: Is this the height of smelting and pollution in the 148 00:09:58,600 --> 00:10:01,800 Speaker 1: seventies when Bundy and and were there. 149 00:10:02,040 --> 00:10:07,079 Speaker 2: Yeah, there were, you know, beginning in the sixties, communities 150 00:10:07,120 --> 00:10:11,800 Speaker 2: started waking up to the hazards of this stuff, which 151 00:10:11,840 --> 00:10:15,280 Speaker 2: were kind of hard to ignore because like you could 152 00:10:15,320 --> 00:10:18,640 Speaker 2: hang out laundry and Tacoma for example, and it would 153 00:10:18,880 --> 00:10:22,559 Speaker 2: get all these weird spots on it because of the arsenic. 154 00:10:23,240 --> 00:10:27,280 Speaker 2: Pets would die, you know after walking in it. You know, 155 00:10:27,440 --> 00:10:31,120 Speaker 2: people were finding the paint on their cars and their 156 00:10:31,160 --> 00:10:35,040 Speaker 2: boats was being eaten away by the acids that were 157 00:10:35,040 --> 00:10:39,040 Speaker 2: coming out of the smokestack. So people were just starting 158 00:10:39,120 --> 00:10:42,320 Speaker 2: to kind of freak out about it. But Asarco was 159 00:10:42,640 --> 00:10:47,040 Speaker 2: very controlling about the information that they let out. And 160 00:10:47,480 --> 00:10:51,440 Speaker 2: of course they were also a huge, huge employer in 161 00:10:51,520 --> 00:10:56,880 Speaker 2: the North Dakoma area, and so people didn't want to 162 00:10:56,960 --> 00:11:01,640 Speaker 2: sue a Sarco because you know, those jobs were at stake, 163 00:11:02,000 --> 00:11:05,440 Speaker 2: and there was always this fear that the plant would 164 00:11:05,440 --> 00:11:06,079 Speaker 2: close down. 165 00:11:09,640 --> 00:11:13,120 Speaker 1: You know, I was thinking about the time in London, 166 00:11:13,240 --> 00:11:15,000 Speaker 1: you know, I had to do all this research on 167 00:11:15,200 --> 00:11:18,360 Speaker 1: pollution in London that there was a period where you know, 168 00:11:18,400 --> 00:11:22,000 Speaker 1: everybody's burning trees, right, and then the trees go and 169 00:11:22,000 --> 00:11:24,080 Speaker 1: that's when coal comes and then you see all of 170 00:11:24,160 --> 00:11:27,880 Speaker 1: this pollution. So you said, what eighteen hundred seventeen hundreds 171 00:11:27,960 --> 00:11:29,760 Speaker 1: is really when this started? And this must have just 172 00:11:29,800 --> 00:11:31,559 Speaker 1: built up. It has to be in the soil, is 173 00:11:31,600 --> 00:11:32,240 Speaker 1: it in the water? 174 00:11:33,000 --> 00:11:33,200 Speaker 2: Oh? 175 00:11:33,280 --> 00:11:34,880 Speaker 1: Yeah? 176 00:11:35,040 --> 00:11:39,080 Speaker 2: And you know Puget Sound, there's there's quite a lot 177 00:11:39,160 --> 00:11:43,559 Speaker 2: of lead and copper and other things at the bottom 178 00:11:43,559 --> 00:11:47,840 Speaker 2: of Puget Sound. There are issues. They did quite a 179 00:11:47,840 --> 00:11:52,840 Speaker 2: lot of cleanup during the superfund era because the Sarca 180 00:11:52,880 --> 00:11:57,160 Speaker 2: smelter and Tacoma eventually closed in eighty six then became 181 00:11:57,240 --> 00:12:01,080 Speaker 2: a huge superfund site, and they did a lot of 182 00:12:01,120 --> 00:12:05,960 Speaker 2: cleanup in the neighborhood around the smokestack and in North Dakoma. 183 00:12:07,000 --> 00:12:10,200 Speaker 2: But you know, like a lot of these super fun things, 184 00:12:10,400 --> 00:12:14,560 Speaker 2: they run out of money eventually, and so even though 185 00:12:14,600 --> 00:12:18,480 Speaker 2: the most important parts of the cleanup were accomplished, there's 186 00:12:18,520 --> 00:12:21,040 Speaker 2: a lot of areas around the fringes that I think 187 00:12:21,120 --> 00:12:23,360 Speaker 2: never got the treatment that they should have. 188 00:12:24,000 --> 00:12:26,959 Speaker 1: So we've had so far. I've written down Bundy and 189 00:12:27,120 --> 00:12:31,559 Speaker 1: Manson and Gary Ridgeway. Did you include BTK in that 190 00:12:31,679 --> 00:12:33,360 Speaker 1: Dennis Raider also in that group. 191 00:12:33,559 --> 00:12:37,640 Speaker 2: No, he was actually in Wichita, Kansas. That's where he 192 00:12:37,760 --> 00:12:41,280 Speaker 2: committed the majority of his murders. Although there I think 193 00:12:41,320 --> 00:12:44,720 Speaker 2: they're now finding out that he may have gotten over 194 00:12:44,760 --> 00:12:48,200 Speaker 2: into Oklahoma at one point and killed a couple of 195 00:12:48,240 --> 00:12:51,600 Speaker 2: women there. But yeah, he was down in Kansas and 196 00:12:51,840 --> 00:12:55,280 Speaker 2: in an area that became known for its own smelter, 197 00:12:55,840 --> 00:12:59,760 Speaker 2: Oh my gosh, in the nineteen hundreds. That whole south 198 00:12:59,800 --> 00:13:02,800 Speaker 2: east east corner of Kansas has a lot of coal 199 00:13:03,840 --> 00:13:05,480 Speaker 2: in it, and so there were a lot of open 200 00:13:05,559 --> 00:13:10,240 Speaker 2: pit mines and a zinc smelter in the town where 201 00:13:10,360 --> 00:13:15,320 Speaker 2: he was born, I think, and he spent a lot 202 00:13:15,360 --> 00:13:18,560 Speaker 2: of time with his grandparents who had farms in that 203 00:13:18,679 --> 00:13:23,440 Speaker 2: region and may or may not have been exposed to lead. 204 00:13:23,200 --> 00:13:27,679 Speaker 2: We certainly know that that Ted Bundy and Ridgway were 205 00:13:28,120 --> 00:13:31,679 Speaker 2: pretty heavily exposed to lead, both from where they lived 206 00:13:31,800 --> 00:13:37,480 Speaker 2: and Ridgway worked most of his life painting trucks, and 207 00:13:37,520 --> 00:13:43,280 Speaker 2: the paint for big trucks is exempt from lead restrictions, 208 00:13:43,640 --> 00:13:47,160 Speaker 2: So I think he was getting it from a number 209 00:13:47,160 --> 00:13:51,319 Speaker 2: of different sources. But yeah, I think Raider, Denis Rader, 210 00:13:51,360 --> 00:13:55,120 Speaker 2: the BTK killer, is just so interesting because he kind 211 00:13:55,160 --> 00:14:02,960 Speaker 2: of represents like Ridgeway, the mentally limited serial killer who 212 00:14:03,400 --> 00:14:06,480 Speaker 2: just kind of does the same thing over and over 213 00:14:06,520 --> 00:14:09,800 Speaker 2: and over again and seems to have the mentality of 214 00:14:09,880 --> 00:14:12,840 Speaker 2: like a you know, about a sixth grader or something. 215 00:14:12,880 --> 00:14:17,360 Speaker 2: I mean, whereas you also see people who are exposed 216 00:14:17,360 --> 00:14:21,320 Speaker 2: to lead who are quite smart, like Bundy, because I 217 00:14:21,320 --> 00:14:25,480 Speaker 2: think it really affects people at different times and different 218 00:14:25,720 --> 00:14:28,400 Speaker 2: in their development and in different ways, and so there's 219 00:14:28,400 --> 00:14:32,520 Speaker 2: a whole range of effects that you can see in 220 00:14:32,560 --> 00:14:33,400 Speaker 2: the individual. 221 00:14:34,160 --> 00:14:36,720 Speaker 1: Is this brand new thinking? And actually in a way, 222 00:14:36,720 --> 00:14:38,880 Speaker 1: I don't even know where to start, because we could 223 00:14:38,920 --> 00:14:43,000 Speaker 1: start with how do these pollutants if we just take 224 00:14:43,240 --> 00:14:46,080 Speaker 1: you know, the Tacoma area, how do they affect everyone? 225 00:14:46,240 --> 00:14:48,640 Speaker 1: Just in general? Is there with arsenic? I mean, I 226 00:14:49,040 --> 00:14:52,200 Speaker 1: know the normal way I could see with arsenic, you know, 227 00:14:52,320 --> 00:14:55,760 Speaker 1: blackening of organs, sometimes the blackening of a face. But 228 00:14:56,040 --> 00:14:58,480 Speaker 1: that's for me the eighteen hundreds. I don't know what 229 00:14:58,600 --> 00:15:01,680 Speaker 1: it would be like coming out of a smeltering plant. 230 00:15:01,760 --> 00:15:03,960 Speaker 1: So can we talk in general just about what everybody 231 00:15:04,000 --> 00:15:04,880 Speaker 1: was experiencing? 232 00:15:05,120 --> 00:15:09,400 Speaker 2: Sure? Yeah, I mean they eventually were able to demonstrate 233 00:15:09,560 --> 00:15:14,520 Speaker 2: that the guys who were working in the plants where 234 00:15:14,680 --> 00:15:19,720 Speaker 2: arsenic was produced had a higher level of lung cancer specifically, 235 00:15:20,320 --> 00:15:25,200 Speaker 2: or respiratory diseases, so that was a specific thing that 236 00:15:25,320 --> 00:15:29,080 Speaker 2: was tied to their exposure. I think in the community 237 00:15:29,240 --> 00:15:33,720 Speaker 2: it was much harder to establish a connection to health 238 00:15:33,840 --> 00:15:39,520 Speaker 2: because OSARGO did everything that they could to quash any 239 00:15:39,600 --> 00:15:43,400 Speaker 2: kind of research that was being done. So eventually they 240 00:15:43,480 --> 00:15:47,120 Speaker 2: did come up with some, you know, just some very 241 00:15:47,160 --> 00:15:51,440 Speaker 2: basic readings on how much arsenic the kids were being 242 00:15:51,520 --> 00:15:56,000 Speaker 2: exposed to, which was a lot. But the thing that 243 00:15:56,160 --> 00:16:00,680 Speaker 2: I was really interested in was the lead because lead 244 00:16:00,760 --> 00:16:04,040 Speaker 2: has been shown to have, as I said, a whole 245 00:16:04,160 --> 00:16:07,200 Speaker 2: range of effects, but one of them is that if 246 00:16:07,240 --> 00:16:11,800 Speaker 2: you're exposed to lead as a child while your brain 247 00:16:11,920 --> 00:16:17,479 Speaker 2: is still developing, it can lead to a really profound 248 00:16:17,520 --> 00:16:22,240 Speaker 2: effect in the development of the frontal cortex and the 249 00:16:22,800 --> 00:16:26,720 Speaker 2: things that we our brain uses to control our behavior. 250 00:16:27,080 --> 00:16:32,400 Speaker 2: And so people who have had serious let exposure can 251 00:16:32,520 --> 00:16:37,880 Speaker 2: show a lot of aggression, their higher rates of juvenile 252 00:16:37,960 --> 00:16:42,560 Speaker 2: delinquency as these kids get older, and higher rates of 253 00:16:42,640 --> 00:16:48,040 Speaker 2: violent crime. Those associations are pretty well established at this point. 254 00:16:48,560 --> 00:16:52,040 Speaker 2: It's only in very recent years that scientists have also 255 00:16:52,120 --> 00:16:59,760 Speaker 2: begun to link let exposure to psychopathy and to psychopaths 256 00:16:59,800 --> 00:17:04,120 Speaker 2: who have been caught and have been you know, who 257 00:17:04,200 --> 00:17:08,120 Speaker 2: have agreed to be interviewed or studied or whatever. There 258 00:17:08,240 --> 00:17:11,040 Speaker 2: is no they're now showing a link to that. 259 00:17:11,480 --> 00:17:15,399 Speaker 1: So there is a definitive link between lead and aggressive behavior, 260 00:17:15,600 --> 00:17:18,679 Speaker 1: not with everybody. But is that an MRI or how 261 00:17:18,720 --> 00:17:19,520 Speaker 1: does that show up? 262 00:17:19,840 --> 00:17:24,680 Speaker 2: Yeah, they have done MRIs. There's a guy, a biologist 263 00:17:25,080 --> 00:17:28,840 Speaker 2: in England, Adriane Raine, who did a whole book about 264 00:17:28,840 --> 00:17:33,560 Speaker 2: this where he looked at all these different contributing factors, 265 00:17:33,600 --> 00:17:38,800 Speaker 2: including you know, lead and Cadmium is another heavy metal 266 00:17:38,840 --> 00:17:42,400 Speaker 2: that's often mentioned in this regard, which seems to operate 267 00:17:42,480 --> 00:17:45,560 Speaker 2: a lot like lead if you get it in your system. 268 00:17:45,640 --> 00:17:48,680 Speaker 2: There was a mass shooter, one of the first mass 269 00:17:48,720 --> 00:17:53,919 Speaker 2: shooters in California in the eighties, who killed some people 270 00:17:53,920 --> 00:17:58,480 Speaker 2: in a McDonald's near San Diego. He worked with cadmium 271 00:17:58,640 --> 00:18:01,680 Speaker 2: and was shown to have an enormous amount of academium 272 00:18:01,800 --> 00:18:07,160 Speaker 2: in his body after autopsy. So Rain looked at all 273 00:18:07,240 --> 00:18:10,359 Speaker 2: of this. He looked at diet, he looked at I 274 00:18:10,400 --> 00:18:13,880 Speaker 2: think head trauma. But he has he reproduces a lot 275 00:18:13,920 --> 00:18:17,800 Speaker 2: of MRIs in his book and one of the interesting 276 00:18:17,880 --> 00:18:22,160 Speaker 2: things that has come along more recently. I'm not quite 277 00:18:22,240 --> 00:18:24,760 Speaker 2: sure whether he talked about it or not. I think 278 00:18:24,760 --> 00:18:27,879 Speaker 2: it's more recent, but there appears to be kind of 279 00:18:27,960 --> 00:18:33,760 Speaker 2: a real gender difference in how men and women respond 280 00:18:34,040 --> 00:18:38,480 Speaker 2: to lead exposure. That men seem to be much more 281 00:18:38,520 --> 00:18:44,160 Speaker 2: profoundly affected in the whole frontal cortex than women, Which 282 00:18:44,200 --> 00:18:46,879 Speaker 2: is not to say that women don't share some of 283 00:18:46,920 --> 00:18:53,359 Speaker 2: the impulsivity. That's another thing that's caused by lead. And 284 00:18:53,400 --> 00:18:56,480 Speaker 2: they've done these graphs that show, you know, because of 285 00:18:56,840 --> 00:19:01,159 Speaker 2: course there was leaded gas between nineteen fifties in the 286 00:19:01,240 --> 00:19:04,919 Speaker 2: nineteen eighties, and so you can show the rise and 287 00:19:05,000 --> 00:19:10,320 Speaker 2: violent crime on these graphs really tracks quite closely to 288 00:19:10,400 --> 00:19:13,919 Speaker 2: the availability and use of letted gas, and then it 289 00:19:14,000 --> 00:19:19,359 Speaker 2: falls off quite sharply in the nineties once leaded gas 290 00:19:19,359 --> 00:19:24,040 Speaker 2: had been withdrawn from the market and once smelters started 291 00:19:24,080 --> 00:19:27,560 Speaker 2: closing as well. So, yeah, with women, it tended to 292 00:19:27,600 --> 00:19:30,040 Speaker 2: be I mean, I don't know if you remember, but 293 00:19:30,160 --> 00:19:33,439 Speaker 2: in the seventies and eighties there was this big rise 294 00:19:33,640 --> 00:19:37,960 Speaker 2: in teen pregnancies, and so that's been used as a 295 00:19:38,040 --> 00:19:41,600 Speaker 2: kind of metric to look at what happened with women 296 00:19:41,760 --> 00:19:42,520 Speaker 2: in that period. 297 00:19:46,200 --> 00:19:51,159 Speaker 1: Is this argument an argument that environmentalists have made in 298 00:19:51,320 --> 00:19:54,160 Speaker 1: order to say no to leaded gas in the past, 299 00:19:54,320 --> 00:19:57,000 Speaker 1: no to smelters. I mean, it seems like, you know, 300 00:19:57,400 --> 00:20:00,800 Speaker 1: save the environment, Yeah, lower crime, I mean, or is 301 00:20:00,800 --> 00:20:04,080 Speaker 1: that just too far out there for Congress to wrap 302 00:20:04,119 --> 00:20:05,680 Speaker 1: its head around. Yeah. 303 00:20:05,720 --> 00:20:09,000 Speaker 2: I think medical doctors have been arguing since the nineteen 304 00:20:09,200 --> 00:20:13,520 Speaker 2: twenties that putting this much lead into the environment was 305 00:20:13,560 --> 00:20:18,800 Speaker 2: an incredibly dangerous thing to do, and they're not focusing 306 00:20:18,880 --> 00:20:22,840 Speaker 2: so much, you know, on it as an environmental issue, 307 00:20:22,840 --> 00:20:26,160 Speaker 2: but as a human health issue, and saying that this 308 00:20:26,240 --> 00:20:30,880 Speaker 2: is going to have terrible effects on human health generally, 309 00:20:31,280 --> 00:20:35,960 Speaker 2: because lead doesn't just you know, cause crazy behavior, it 310 00:20:36,040 --> 00:20:40,720 Speaker 2: also causes all kinds of other diseases, you know, respiratory 311 00:20:40,760 --> 00:20:46,240 Speaker 2: diseases and heart disease. I think als has now been 312 00:20:46,359 --> 00:20:51,000 Speaker 2: linked to lead. So there's a whole range of just 313 00:20:51,480 --> 00:20:57,080 Speaker 2: really terrible facts and the fact that you know, industry 314 00:20:57,359 --> 00:21:03,840 Speaker 2: just took those recommendations in the twenties and thirties and said, oh, 315 00:21:03,920 --> 00:21:06,679 Speaker 2: this isn't going to be a problem, yeah, you know, 316 00:21:06,960 --> 00:21:12,159 Speaker 2: and just did this experiment on the entire population of 317 00:21:12,200 --> 00:21:15,600 Speaker 2: the country and of course around the world. Because lighted 318 00:21:15,640 --> 00:21:17,600 Speaker 2: gas was sold everywhere. 319 00:21:18,040 --> 00:21:21,080 Speaker 1: Let's talk about the industrialists who profited off of this. 320 00:21:21,160 --> 00:21:23,639 Speaker 1: I know this is another part of your book. Where 321 00:21:23,640 --> 00:21:26,760 Speaker 1: does that fit in for you? Is that the history 322 00:21:26,800 --> 00:21:32,840 Speaker 1: and sort of the craven, selfishness and money hungry industrialists 323 00:21:32,880 --> 00:21:35,680 Speaker 1: that are causing this, or where does that fit for you? Well? 324 00:21:35,720 --> 00:21:40,359 Speaker 2: That was to me the critical piece that made me 325 00:21:40,400 --> 00:21:43,520 Speaker 2: feel like there was a book in this material, because 326 00:21:43,600 --> 00:21:47,320 Speaker 2: I didn't want to just write about serial killers, fascinating 327 00:21:47,400 --> 00:21:47,960 Speaker 2: though they are. 328 00:21:48,720 --> 00:21:51,159 Speaker 1: My audience would disagree with you, I think that, okay, 329 00:21:52,520 --> 00:21:53,080 Speaker 1: But I. 330 00:21:53,080 --> 00:21:56,040 Speaker 2: Just I wasn't really moved to write an entire book 331 00:21:56,040 --> 00:22:01,640 Speaker 2: about that phenomenon. But when I learned about the environmental 332 00:22:01,720 --> 00:22:05,560 Speaker 2: link to this, that to me was just huge because 333 00:22:05,880 --> 00:22:11,120 Speaker 2: it was a really overwhelmingly emotional thing to learn about 334 00:22:11,400 --> 00:22:15,280 Speaker 2: what these people did to places that I really care about. 335 00:22:15,720 --> 00:22:18,920 Speaker 2: You know, Puget Sound is one of the most beautiful 336 00:22:18,920 --> 00:22:24,479 Speaker 2: places in the country, and the fact that these people 337 00:22:25,160 --> 00:22:31,320 Speaker 2: just deliberately did the most incredible damage to it without caring, 338 00:22:31,440 --> 00:22:35,080 Speaker 2: without caring about the community, without caring about the long 339 00:22:35,160 --> 00:22:40,280 Speaker 2: term effects, was just amazing to me. And I think 340 00:22:40,320 --> 00:22:43,480 Speaker 2: that as people read the book, I hope that they 341 00:22:43,560 --> 00:22:48,080 Speaker 2: start to see the link between you know, the actual 342 00:22:48,240 --> 00:22:54,280 Speaker 2: individual serial killers and their behavior, their constant lying, their 343 00:22:54,920 --> 00:22:59,520 Speaker 2: you know, lack of empathy, and the corporate serial killers 344 00:22:59,640 --> 00:23:08,119 Speaker 2: who just deliberately went out and poisoned generations of children deliberately. 345 00:23:08,720 --> 00:23:12,720 Speaker 1: Did this begin with the building of the railroads? Is 346 00:23:12,760 --> 00:23:15,399 Speaker 1: that sort of where all of this started in the 347 00:23:15,400 --> 00:23:18,440 Speaker 1: Pacific Northwest? What was them? I know we took about smelting, 348 00:23:18,480 --> 00:23:20,639 Speaker 1: but was that really the beginning is getting all of 349 00:23:20,680 --> 00:23:23,239 Speaker 1: these minerals or was it building things? Well? 350 00:23:23,320 --> 00:23:26,520 Speaker 2: Yeah, I think that the railroads, the development of the 351 00:23:26,600 --> 00:23:32,640 Speaker 2: railroads and mining went hand in hand because the railroads 352 00:23:32,640 --> 00:23:37,119 Speaker 2: were designed to shift the ores, the rocks from the 353 00:23:37,200 --> 00:23:41,000 Speaker 2: mines to Tacoma. I mean, the last piece of the 354 00:23:41,440 --> 00:23:45,879 Speaker 2: railroad that ends in Tacoma. That's why it was built, 355 00:23:46,040 --> 00:23:50,440 Speaker 2: essentially was to do that service. And for a long 356 00:23:50,480 --> 00:23:55,320 Speaker 2: time there was this terrible smelter in Idaho which was 357 00:23:55,400 --> 00:24:01,000 Speaker 2: connected to the Tacoma smelter, which also, I mean just 358 00:24:01,160 --> 00:24:07,520 Speaker 2: into the nineteen seventies was poisoning kids in an interior 359 00:24:07,640 --> 00:24:09,960 Speaker 2: valley in Killogg, Idaho. 360 00:24:10,400 --> 00:24:13,080 Speaker 1: If we shift back momentarily to the serial killers, I 361 00:24:13,600 --> 00:24:16,280 Speaker 1: was thinking about the brain defense with all of this 362 00:24:16,440 --> 00:24:19,400 Speaker 1: with the air pollution, which to me, when someone says 363 00:24:19,400 --> 00:24:22,560 Speaker 1: the brain defense in court, which usually what has been 364 00:24:22,600 --> 00:24:26,800 Speaker 1: explained to me is CTE or another kind of head trauma, 365 00:24:27,040 --> 00:24:28,960 Speaker 1: and it's not to get somebody out, it's usually a 366 00:24:29,040 --> 00:24:32,480 Speaker 1: mitigating circumstance to maybe get them knocked down from the 367 00:24:32,520 --> 00:24:35,639 Speaker 1: death penalty to life or something. I know that the 368 00:24:35,680 --> 00:24:39,880 Speaker 1: cases vary. Has anyone ever used sort of environmental pollution 369 00:24:40,160 --> 00:24:43,000 Speaker 1: or anything like that as part of mitigating circumstances in 370 00:24:43,080 --> 00:24:45,280 Speaker 1: a criminal trial? Has any of this evidence come up 371 00:24:45,480 --> 00:24:47,480 Speaker 1: in a criminal trial, not that. 372 00:24:47,440 --> 00:24:52,840 Speaker 2: I'm aware of. Bundy, of course did his lawyer's death 373 00:24:52,920 --> 00:24:58,120 Speaker 2: row attorneys did attempt and then insanity you know defense. 374 00:24:58,160 --> 00:25:00,119 Speaker 2: They tried to go back and say that he he 375 00:25:00,240 --> 00:25:03,560 Speaker 2: wasn't fit to stand drial, which he may not have been. Actually, 376 00:25:04,440 --> 00:25:08,600 Speaker 2: I actually find their arguments pretty compelling at this point. 377 00:25:08,600 --> 00:25:10,920 Speaker 2: But of course that didn't you know, I think that 378 00:25:11,000 --> 00:25:14,560 Speaker 2: the bar for that is set so high and is 379 00:25:14,640 --> 00:25:19,600 Speaker 2: so rarely you know, superseded, that it just certainly didn't 380 00:25:19,640 --> 00:25:22,960 Speaker 2: work for him. But yeah, I'm not aware of anybody 381 00:25:23,200 --> 00:25:27,200 Speaker 2: using doesn't mean it hasn't happened, but certainly not lead 382 00:25:27,640 --> 00:25:30,440 Speaker 2: or cadmium or something like that. And I guess this 383 00:25:30,480 --> 00:25:33,280 Speaker 2: is a good moment to say that. I think that 384 00:25:33,359 --> 00:25:38,359 Speaker 2: there are always lots of factors that probably produce a 385 00:25:38,400 --> 00:25:42,040 Speaker 2: serial killer. It's not just lead exposure. I mean you 386 00:25:42,160 --> 00:25:47,640 Speaker 2: mentioned CTE, the head trauma, which is surely a factor 387 00:25:47,680 --> 00:25:49,720 Speaker 2: with some of these guys, you know that who have 388 00:25:49,800 --> 00:25:54,280 Speaker 2: had brain damage, maybe caused by physical abuse. There's also 389 00:25:54,720 --> 00:25:58,480 Speaker 2: you know, sexual abuse, there's poor diet a lot. If 390 00:25:58,480 --> 00:26:00,600 Speaker 2: you look at the history of a lot of these guys, 391 00:26:00,840 --> 00:26:05,399 Speaker 2: they were raised and often in pretty extreme poverty. People 392 00:26:05,440 --> 00:26:08,520 Speaker 2: have also talked about, you know, the whole period in 393 00:26:08,560 --> 00:26:13,520 Speaker 2: the nineteen fifties when doctors used fourceeps to deliver babies 394 00:26:13,640 --> 00:26:17,719 Speaker 2: and you know, possibly cause brain damage with forceps. So, 395 00:26:18,560 --> 00:26:21,399 Speaker 2: you know, I think there's just a whole range of 396 00:26:21,840 --> 00:26:25,679 Speaker 2: things that can go into this, and you have to 397 00:26:25,720 --> 00:26:27,280 Speaker 2: consider all of that as well. 398 00:26:27,800 --> 00:26:30,920 Speaker 1: I do get asked, do you believe that people are 399 00:26:31,000 --> 00:26:34,600 Speaker 1: inherently evil like a Ted Bundy or a Jeffrey Dahmer, 400 00:26:35,200 --> 00:26:38,119 Speaker 1: you know, do you think they're born evil or predisposed 401 00:26:38,160 --> 00:26:40,280 Speaker 1: to do things like this? What do you think? 402 00:26:40,760 --> 00:26:44,479 Speaker 2: To me? That question seems rooted in a kind of 403 00:26:44,600 --> 00:26:49,919 Speaker 2: religious understanding of good and evil, which I do not 404 00:26:50,560 --> 00:26:52,879 Speaker 2: kind of that's not the way I see things, so 405 00:26:52,920 --> 00:26:55,840 Speaker 2: I don't really interpret them that way. Of course, their 406 00:26:55,960 --> 00:27:00,280 Speaker 2: actions are evil, I mean, yea, their actions are are 407 00:27:00,440 --> 00:27:05,320 Speaker 2: just horrific to the extreme, and so I certainly understand 408 00:27:05,359 --> 00:27:08,720 Speaker 2: why people want to say that. But as to somebody 409 00:27:08,720 --> 00:27:12,040 Speaker 2: being born evil, I mean, again, we've been talking about 410 00:27:12,040 --> 00:27:17,160 Speaker 2: all these things that can cause brain damage, which, yeah, 411 00:27:17,280 --> 00:27:21,439 Speaker 2: you can have brain damage just from being born. It happens. 412 00:27:21,600 --> 00:27:24,960 Speaker 2: But in terms of, like, you know, the whole issue 413 00:27:25,000 --> 00:27:27,840 Speaker 2: of just you know, somebody being sort of imbued with 414 00:27:27,920 --> 00:27:31,320 Speaker 2: the devil or being a Satanic or something, that's just 415 00:27:31,359 --> 00:27:33,600 Speaker 2: not really how I think about things. 416 00:27:33,880 --> 00:27:37,400 Speaker 1: Nor do I, but I do ask quite a bit. 417 00:27:37,720 --> 00:27:41,119 Speaker 1: But listen, I understand that, and I always preface it 418 00:27:41,200 --> 00:27:43,080 Speaker 1: when I answer the question you know, and I answer 419 00:27:43,080 --> 00:27:44,399 Speaker 1: it by saying, no, it's the same thing you did, 420 00:27:44,480 --> 00:27:47,320 Speaker 1: which is I think that people do evil acts. I 421 00:27:47,320 --> 00:27:50,320 Speaker 1: think that oftentimes there are things that are happening that 422 00:27:50,359 --> 00:27:52,480 Speaker 1: we don't know, or maybe we don't want to know 423 00:27:52,600 --> 00:27:54,679 Speaker 1: because the acts are so evil you don't want to 424 00:27:54,680 --> 00:27:56,680 Speaker 1: have any kind of sympathy for these people. And there's 425 00:27:56,680 --> 00:28:00,200 Speaker 1: always the argument, well, the guy right sitting on the 426 00:28:00,240 --> 00:28:02,880 Speaker 1: other side of us has the exact same brain damage 427 00:28:03,000 --> 00:28:07,000 Speaker 1: or whatever it is, and he hasn't gone and done anything. 428 00:28:07,280 --> 00:28:10,440 Speaker 1: But I really feel like there's so many factors that 429 00:28:10,520 --> 00:28:14,760 Speaker 1: go into it, and true crime in general gets a 430 00:28:14,840 --> 00:28:17,600 Speaker 1: lot of bad flag of glorifying the killer. And I 431 00:28:17,640 --> 00:28:20,439 Speaker 1: think that this is really different what we're talking about, 432 00:28:20,480 --> 00:28:24,359 Speaker 1: because this is not saying how interesting Bundy was and 433 00:28:24,400 --> 00:28:27,760 Speaker 1: how brilliant Dennis Raider was or anybody else. This is 434 00:28:28,240 --> 00:28:31,440 Speaker 1: looking at literally the things that affect everybody and how 435 00:28:31,440 --> 00:28:35,080 Speaker 1: they might affect somebody who has these, you know, experiencing 436 00:28:35,080 --> 00:28:38,280 Speaker 1: these added circumstances all on top of that. It's a 437 00:28:38,280 --> 00:28:41,880 Speaker 1: tapestry that causes someone to become an attorney versus somebody 438 00:28:41,880 --> 00:28:44,480 Speaker 1: to become a state at home father and somebody to 439 00:28:44,480 --> 00:28:46,320 Speaker 1: go out and kill twelve people. 440 00:28:46,760 --> 00:28:49,200 Speaker 2: Right, you know, the last thing I want to do 441 00:28:49,480 --> 00:28:52,480 Speaker 2: is and in fact, I think I tried to explain 442 00:28:52,600 --> 00:28:54,880 Speaker 2: what these guys did in a way that would not 443 00:28:55,000 --> 00:28:58,400 Speaker 2: only not glamorize them, but would kind of take them 444 00:28:58,480 --> 00:29:01,239 Speaker 2: out of that genre, because you know, we're now so 445 00:29:01,480 --> 00:29:07,080 Speaker 2: used to this conception of the serial killer as a genius, 446 00:29:07,120 --> 00:29:12,760 Speaker 2: you know, somebody who is sort of devilishly clever at 447 00:29:12,960 --> 00:29:18,160 Speaker 2: evading detection and coming up with these very bizarre, elaborate crimes. 448 00:29:19,160 --> 00:29:22,479 Speaker 2: I don't really think that much of that is true. 449 00:29:23,240 --> 00:29:26,160 Speaker 2: You know, Ted Bundy was not a genius. He was 450 00:29:26,200 --> 00:29:30,240 Speaker 2: somebody who was who was clever at evading detection at 451 00:29:30,240 --> 00:29:33,320 Speaker 2: a time when there was no DNA, you know. And 452 00:29:33,720 --> 00:29:35,959 Speaker 2: that's true of most of the rest of the guys 453 00:29:36,000 --> 00:29:40,800 Speaker 2: that I'm talking about here, Dennis Rader in Kansas and 454 00:29:40,880 --> 00:29:45,719 Speaker 2: Richard Ramirez who grew up in El Paso. These guys 455 00:29:45,720 --> 00:29:50,120 Speaker 2: clearly had something wrong with them, whether it was all 456 00:29:50,240 --> 00:29:52,760 Speaker 2: led or whether it was lead and a whole bunch 457 00:29:52,760 --> 00:29:55,120 Speaker 2: of other stuff added in, which I think is probably 458 00:29:55,160 --> 00:29:58,400 Speaker 2: the case. I think we need to start thinking about 459 00:29:58,440 --> 00:30:05,120 Speaker 2: them differently than we have based on you know, Hollywood tropes, 460 00:30:05,280 --> 00:30:08,160 Speaker 2: you know, the whole Silence of the Lambs and the 461 00:30:08,200 --> 00:30:11,560 Speaker 2: Hannibal Lecter and all of that stuff. I mean, those 462 00:30:11,600 --> 00:30:16,200 Speaker 2: things are entertaining, but I don't think they really capture 463 00:30:16,520 --> 00:30:22,080 Speaker 2: the real sort of debased quality of the thinking of 464 00:30:22,120 --> 00:30:22,760 Speaker 2: these guys. 465 00:30:23,360 --> 00:30:25,320 Speaker 1: I agree. So I think, you know, that's why your 466 00:30:25,360 --> 00:30:28,040 Speaker 1: book is really interesting. As you're taking the what I 467 00:30:28,040 --> 00:30:30,560 Speaker 1: would say, these are killers who all have this weird 468 00:30:30,840 --> 00:30:35,480 Speaker 1: mystique around them, and you sort of dispel it and say, 469 00:30:35,840 --> 00:30:38,400 Speaker 1: part of this is lad. There's a lot that happens 470 00:30:38,440 --> 00:30:41,520 Speaker 1: here that is the sexiness is not the right word. 471 00:30:41,560 --> 00:30:45,840 Speaker 1: But for the people who really really are into the 472 00:30:45,920 --> 00:30:49,720 Speaker 1: serial killers and who glorify them, reading about their exposure 473 00:30:49,760 --> 00:30:53,480 Speaker 1: to lead is going to kind of take down that fantasy. 474 00:30:53,640 --> 00:30:56,040 Speaker 1: And there are quite a lot of people who think 475 00:30:56,160 --> 00:30:58,800 Speaker 1: like that that take that fantasy down a notch. So 476 00:30:58,840 --> 00:31:03,520 Speaker 1: you're really revealing the person behind the murders that are happening. 477 00:31:03,720 --> 00:31:05,240 Speaker 1: And I think a lot of people don't want that. 478 00:31:05,400 --> 00:31:08,040 Speaker 1: I don't think they want to know about the awful 479 00:31:08,120 --> 00:31:11,640 Speaker 1: childhood's or you know, Bundy feeling like he was a bastard, 480 00:31:12,160 --> 00:31:15,480 Speaker 1: you know, and rejection and all of that stuff. I 481 00:31:15,520 --> 00:31:17,600 Speaker 1: don't think that they want that. I think they want 482 00:31:17,680 --> 00:31:18,800 Speaker 1: that kind of image. 483 00:31:19,080 --> 00:31:19,480 Speaker 2: Yeah. 484 00:31:19,520 --> 00:31:21,600 Speaker 1: So yeah, So it's interesting what you're doing in the book. 485 00:31:22,120 --> 00:31:25,640 Speaker 2: We do, of course, have to recognize how rare this is. 486 00:31:26,400 --> 00:31:29,840 Speaker 2: But the whole argument that like, oh, you know, if 487 00:31:30,200 --> 00:31:34,000 Speaker 2: lead causes this kind of behavior, why wasn't everybody in 488 00:31:34,040 --> 00:31:35,560 Speaker 2: Tacoma a serial killer? 489 00:31:35,840 --> 00:31:36,480 Speaker 1: I just don't. 490 00:31:36,640 --> 00:31:39,800 Speaker 2: I think that's the wrong question, because you know, it's 491 00:31:39,960 --> 00:31:43,840 Speaker 2: like with cigarettes or tobacco. You know, there are people 492 00:31:43,880 --> 00:31:46,760 Speaker 2: who smoke until they're ninety years old and they don't 493 00:31:46,800 --> 00:31:49,920 Speaker 2: die of lung cancer. But does that mean it doesn't 494 00:31:49,960 --> 00:31:54,000 Speaker 2: cause lung I mean, of course tobacco causes lung cancer, 495 00:31:54,440 --> 00:32:00,120 Speaker 2: and arsenic and lead do have specific effects, and they 496 00:32:00,280 --> 00:32:03,640 Speaker 2: have raised the violent crime rate into com up, which 497 00:32:03,720 --> 00:32:07,840 Speaker 2: was very high. I'm looking at serial killers because that's 498 00:32:07,880 --> 00:32:11,120 Speaker 2: a way to tell this story in a way that 499 00:32:11,160 --> 00:32:15,320 Speaker 2: I think people will comprehend. But there were I think 500 00:32:15,520 --> 00:32:21,760 Speaker 2: real world consequences and costs to you know, blanketing an 501 00:32:21,920 --> 00:32:25,240 Speaker 2: entire populated city with these substances. 502 00:32:25,600 --> 00:32:30,360 Speaker 1: Now where do the smelters across the United States stand today? 503 00:32:30,400 --> 00:32:31,920 Speaker 1: Do we have a lot of them still? And I 504 00:32:31,960 --> 00:32:34,200 Speaker 1: know that you talk more that it's not just smelters, 505 00:32:34,200 --> 00:32:36,520 Speaker 1: it's fertilizer and so many other things. But that's one 506 00:32:36,520 --> 00:32:38,040 Speaker 1: of the big subjects. 507 00:32:38,400 --> 00:32:42,480 Speaker 2: What I'm talking about were what's called primary smelters, where 508 00:32:42,480 --> 00:32:46,400 Speaker 2: they actually brought them rocks from mines and melted them 509 00:32:46,440 --> 00:32:50,280 Speaker 2: and separated the metals and created you know, pure copper 510 00:32:50,520 --> 00:32:54,240 Speaker 2: and lead and so forth. Those have largely disappeared from 511 00:32:54,280 --> 00:32:58,560 Speaker 2: this country because of EPA regulations and because it just 512 00:32:58,640 --> 00:33:04,040 Speaker 2: became far tooensive to operate them, partly because of regulations 513 00:33:04,080 --> 00:33:08,200 Speaker 2: and partly because of you know, commodities, that these commodities 514 00:33:08,320 --> 00:33:13,160 Speaker 2: were readily available and being produced in other countries where 515 00:33:13,200 --> 00:33:15,920 Speaker 2: it was cheaper to do so. And so now you 516 00:33:16,120 --> 00:33:21,600 Speaker 2: find primary smelters largely in places like China and Russia 517 00:33:21,680 --> 00:33:24,960 Speaker 2: and South America and in places that don't have the 518 00:33:25,040 --> 00:33:29,840 Speaker 2: regulations that we enacted. The thing that we do still 519 00:33:29,920 --> 00:33:34,680 Speaker 2: have are recycling plants where you know, you take your 520 00:33:34,800 --> 00:33:39,680 Speaker 2: lead car battery for example, when it's used up, and 521 00:33:39,800 --> 00:33:45,920 Speaker 2: those recycling plants are themselves kind of a secondary smelter 522 00:33:46,760 --> 00:33:51,640 Speaker 2: that is separating out the valuable metals from these batteries 523 00:33:51,760 --> 00:33:55,920 Speaker 2: and other things, and they can be quite polluting as well. 524 00:33:56,800 --> 00:33:59,880 Speaker 2: And PR did a piece recently about a you know, 525 00:34:00,040 --> 00:34:03,880 Speaker 2: a recycling plant in Florida that was emitting a lot 526 00:34:03,920 --> 00:34:08,440 Speaker 2: of lead and that was also exposing its workers to 527 00:34:09,480 --> 00:34:12,000 Speaker 2: incredible amounts of lead. 528 00:34:12,400 --> 00:34:14,840 Speaker 1: Well, let me ask you, I did not know a 529 00:34:14,880 --> 00:34:18,520 Speaker 1: lot about radio isotopes until maybe a year or two ago. 530 00:34:18,840 --> 00:34:22,000 Speaker 1: Is that something that they can study? You know, when 531 00:34:22,040 --> 00:34:24,279 Speaker 1: you can pull somebody's hair, I assume you could do 532 00:34:24,320 --> 00:34:25,799 Speaker 1: it with blood too, and just sort of see the 533 00:34:25,800 --> 00:34:29,000 Speaker 1: different regions where they came from. Can we find out pollution? 534 00:34:29,320 --> 00:34:33,439 Speaker 1: I think we can right from studying what blood hair, 535 00:34:33,480 --> 00:34:34,160 Speaker 1: what would it be? 536 00:34:34,760 --> 00:34:38,520 Speaker 2: Yeah. In fact, in al Paso, somebody did do a 537 00:34:38,560 --> 00:34:44,040 Speaker 2: study because an al Pasa, the a Sarco smelter there 538 00:34:44,280 --> 00:34:48,360 Speaker 2: had been denying for years that they were the source 539 00:34:48,640 --> 00:34:51,520 Speaker 2: of so much of the lead that was being deposited 540 00:34:51,560 --> 00:34:53,719 Speaker 2: in the city. They kept saying, oh, it comes from 541 00:34:53,800 --> 00:34:58,160 Speaker 2: traffic and you know cars and trucks because I ten 542 00:34:58,400 --> 00:35:01,880 Speaker 2: goes through El Paso, for example. So they kept pointing 543 00:35:01,920 --> 00:35:05,759 Speaker 2: to other places that might have been producing the lead poisoning. 544 00:35:06,120 --> 00:35:09,759 Speaker 2: So a scientist did a study of exactly that and 545 00:35:10,320 --> 00:35:13,800 Speaker 2: was able to kind of nail them on this because 546 00:35:13,840 --> 00:35:18,040 Speaker 2: you can tie the lead chemically to where it came 547 00:35:18,120 --> 00:35:21,880 Speaker 2: from and how it was being produced. Don't ask me 548 00:35:21,920 --> 00:35:26,279 Speaker 2: to explain how, because I'm not a chemist and I 549 00:35:26,440 --> 00:35:31,280 Speaker 2: can't speak to that, but yeah, it has been done. 550 00:35:31,600 --> 00:35:34,680 Speaker 1: I wonder if there's ever been a thought of, you know, 551 00:35:34,800 --> 00:35:38,000 Speaker 1: not exooming bodies, but moving forward. You have a Jeffrey 552 00:35:38,040 --> 00:35:40,759 Speaker 1: Dalmer who says, please study my brain and figure out 553 00:35:40,920 --> 00:35:43,120 Speaker 1: why I did this. I wonder if there would be 554 00:35:43,160 --> 00:35:45,520 Speaker 1: a way or if there would be an interest in 555 00:35:45,600 --> 00:35:48,040 Speaker 1: testing you know, these people. I know it's only a 556 00:35:48,040 --> 00:35:50,800 Speaker 1: handful of people that these, I mean the man accuse 557 00:35:50,880 --> 00:35:54,360 Speaker 1: of the Long Island serial murders for example, and seeing 558 00:35:54,680 --> 00:35:58,080 Speaker 1: you know, what the what the pollution levels are as 559 00:35:58,160 --> 00:35:59,600 Speaker 1: just part of a study. I think that would be 560 00:35:59,600 --> 00:36:00,200 Speaker 1: so interest. 561 00:36:00,960 --> 00:36:05,359 Speaker 2: Yeah, there are ways to do that, perhaps at autopsy. 562 00:36:05,480 --> 00:36:09,880 Speaker 2: The issue with testing people for lead is that they're 563 00:36:10,200 --> 00:36:15,680 Speaker 2: very inexpensive and readily available blood tests for lead that 564 00:36:15,960 --> 00:36:20,239 Speaker 2: capture a picture of how much you currently you know, 565 00:36:20,440 --> 00:36:24,160 Speaker 2: is circulating in your blood stream, but that has to 566 00:36:24,200 --> 00:36:28,400 Speaker 2: have been very recent exposure. So you know, say you 567 00:36:29,080 --> 00:36:33,080 Speaker 2: were in an area that had some lead in the air, 568 00:36:33,280 --> 00:36:36,920 Speaker 2: or you ate something, or a child ate some paint chips. 569 00:36:37,239 --> 00:36:39,759 Speaker 2: You know, they can find that out if it's a 570 00:36:39,880 --> 00:36:43,879 Speaker 2: very recent exposure. The trickier thing is to do a 571 00:36:43,880 --> 00:36:47,840 Speaker 2: study or a test that shows how much lead exposure 572 00:36:48,160 --> 00:36:51,440 Speaker 2: you've had over your lifetime, because lead in the body 573 00:36:52,160 --> 00:36:56,960 Speaker 2: is deposited in the bones and the teeth, and those 574 00:36:57,040 --> 00:37:00,840 Speaker 2: are harder too. You know, there are, in fact, I 575 00:37:00,880 --> 00:37:04,239 Speaker 2: think these very kind of elaborate tests that can be 576 00:37:04,320 --> 00:37:08,280 Speaker 2: done to show what's happening with lead in the bones, 577 00:37:08,320 --> 00:37:12,319 Speaker 2: But those machines are few and far between, and those 578 00:37:12,320 --> 00:37:17,400 Speaker 2: are very expensive tests to run. So it's a complicated issue. 579 00:37:17,520 --> 00:37:21,040 Speaker 2: And I don't know that anybody's ever gonna say, oh, 580 00:37:21,080 --> 00:37:24,239 Speaker 2: we need to do a study of serial killers and 581 00:37:24,520 --> 00:37:27,920 Speaker 2: find out about their their lead exposure. I kind of 582 00:37:28,000 --> 00:37:28,359 Speaker 2: doubt it. 583 00:37:28,680 --> 00:37:30,959 Speaker 1: That's interesting. I didn't know, you know, I've never really 584 00:37:31,000 --> 00:37:33,759 Speaker 1: dealt with lead before, but I knew that carbon monoxide 585 00:37:33,800 --> 00:37:36,440 Speaker 1: stays in your body for a very long time, and 586 00:37:36,719 --> 00:37:38,799 Speaker 1: because I remember from death in the air, they were 587 00:37:38,800 --> 00:37:41,080 Speaker 1: able to test from bodies that had been buried for 588 00:37:41,120 --> 00:37:44,200 Speaker 1: a very long time to figure out really Yeah, okay, 589 00:37:44,400 --> 00:37:48,440 Speaker 1: So when you talk about Bundy and you talk about 590 00:37:49,120 --> 00:37:52,600 Speaker 1: you know, Manson, I guess I'm thinking particularly of Gary 591 00:37:52,840 --> 00:37:55,799 Speaker 1: Ridgeway and Bundy. In the book, you do get into 592 00:37:55,840 --> 00:37:58,920 Speaker 1: their crimes. Did you feel like you wanted to do 593 00:37:58,960 --> 00:38:01,000 Speaker 1: that that it's just kind of you can't just name 594 00:38:01,040 --> 00:38:03,040 Speaker 1: these people. You have to be able to explain what 595 00:38:03,120 --> 00:38:06,640 Speaker 1: happened with them. Or was it an illustration for you 596 00:38:07,160 --> 00:38:10,200 Speaker 1: of sort of the cause and effect in a way, 597 00:38:10,280 --> 00:38:13,479 Speaker 1: not just of the pollution, but of everything that goes 598 00:38:13,520 --> 00:38:15,719 Speaker 1: into what happens in their backgrounds. 599 00:38:16,640 --> 00:38:23,000 Speaker 2: Yeah, I think that their behavior becomes so robotic almost 600 00:38:23,160 --> 00:38:26,920 Speaker 2: kind of they're kind of like automatons, you know. One point, 601 00:38:26,960 --> 00:38:29,880 Speaker 2: I talked a little bit about doctor Jackyl and mister 602 00:38:30,040 --> 00:38:34,239 Speaker 2: Hyde because it almost has that quality of like, you know, 603 00:38:34,320 --> 00:38:37,920 Speaker 2: and Ted Bundykins seem to be a normal law student 604 00:38:38,440 --> 00:38:42,600 Speaker 2: one moment, and then two hours later he's driving around 605 00:38:43,040 --> 00:38:46,279 Speaker 2: picking up some woman or attacking a woman on the 606 00:38:46,320 --> 00:38:51,359 Speaker 2: street and seizing her. And you know, the repetitiveness of 607 00:38:51,480 --> 00:38:56,440 Speaker 2: their crimes I thought was important, and also the similarity 608 00:38:57,280 --> 00:39:00,279 Speaker 2: between these guys the things that they do. I mean, 609 00:39:00,320 --> 00:39:03,400 Speaker 2: Bundy is sort of the chief example of this, but 610 00:39:03,440 --> 00:39:08,040 Speaker 2: when you look at his crimes next to other Tacoma 611 00:39:08,600 --> 00:39:14,440 Speaker 2: rapists and murderers and raider in a different part of 612 00:39:14,480 --> 00:39:19,480 Speaker 2: the country and Ramirez, who you know, his crimes are 613 00:39:19,600 --> 00:39:26,680 Speaker 2: so completely off the wall. I mean, there's something so 614 00:39:27,120 --> 00:39:31,759 Speaker 2: aberrant about their behavior that eventually, you know, I think 615 00:39:31,800 --> 00:39:35,319 Speaker 2: you can see the similarities between them, which to me 616 00:39:35,600 --> 00:39:40,920 Speaker 2: speaks to some similarity in what's gone wrong with them. 617 00:39:41,360 --> 00:39:46,080 Speaker 2: Whether it's a whole constellation of things that includes let exposure, 618 00:39:46,719 --> 00:39:50,200 Speaker 2: that's the question. But I think it's important to see 619 00:39:50,200 --> 00:39:55,000 Speaker 2: that for the reader to understand this isn't Hannibal Lecter, 620 00:39:55,400 --> 00:40:00,560 Speaker 2: you know, plotting some incredibly clever thing. These are sexual 621 00:40:00,680 --> 00:40:06,320 Speaker 2: crimes overwhelmingly, and that I think was part of why 622 00:40:06,400 --> 00:40:08,800 Speaker 2: I wanted to kind of tell a little bit of 623 00:40:09,440 --> 00:40:13,080 Speaker 2: the story of the nineteen seventies from my perspective, because 624 00:40:13,440 --> 00:40:15,400 Speaker 2: I think people may have forgotten what it was like 625 00:40:15,760 --> 00:40:19,239 Speaker 2: or didn't ever, you know, because they were younger. They 626 00:40:19,239 --> 00:40:21,160 Speaker 2: didn't know what it was like to be live during 627 00:40:21,200 --> 00:40:25,399 Speaker 2: the seventies and how different differently rape was perceived at 628 00:40:25,400 --> 00:40:25,960 Speaker 2: that time. 629 00:40:26,440 --> 00:40:28,680 Speaker 1: Now I'm wondering about everybody, and I know you didn't 630 00:40:28,760 --> 00:40:30,800 Speaker 1: probably study any of these folks, but like in Israel, 631 00:40:30,920 --> 00:40:33,880 Speaker 1: keys who came from Alaska, isn't that kind of a 632 00:40:33,920 --> 00:40:35,400 Speaker 1: heavily polluted area. 633 00:40:35,480 --> 00:40:39,000 Speaker 2: Also, he is one of the last people that I 634 00:40:39,239 --> 00:40:45,680 Speaker 2: talk about. Yeah, he he was born in Utah and 635 00:40:45,719 --> 00:40:49,880 Speaker 2: then moved to Washington State and the area where he 636 00:40:50,000 --> 00:40:56,400 Speaker 2: grew up was incredibly remote in the northeast part of 637 00:40:56,440 --> 00:40:59,600 Speaker 2: the state. But the one thing that was out there 638 00:40:59,840 --> 00:41:04,040 Speaker 2: was the lead smelter he lived. You know, he was 639 00:41:04,120 --> 00:41:07,799 Speaker 2: living with these crazy his parents were crazy, you know, 640 00:41:07,920 --> 00:41:15,000 Speaker 2: white nationalists, and they were living this completely isolated you know, 641 00:41:15,560 --> 00:41:19,160 Speaker 2: in a kind of a log cabin out in the wilderness, 642 00:41:19,640 --> 00:41:22,440 Speaker 2: and I think there was a lot of hunger in 643 00:41:22,480 --> 00:41:25,759 Speaker 2: that family. The mother kept having kids. It was a 644 00:41:25,880 --> 00:41:28,960 Speaker 2: very large family. I think he was one of the 645 00:41:29,120 --> 00:41:33,239 Speaker 2: He was the second oldest, and constantly went out, I think, 646 00:41:33,280 --> 00:41:37,200 Speaker 2: to fish in the Columbia River, which was heavily heavily 647 00:41:37,239 --> 00:41:41,239 Speaker 2: polluted by the smelter, which is right up in British Columbia, 648 00:41:41,719 --> 00:41:46,200 Speaker 2: and shoot game like deer. I mean, who knows what 649 00:41:46,680 --> 00:41:50,840 Speaker 2: I mean. Obviously he grew up in an environment in 650 00:41:50,880 --> 00:41:56,880 Speaker 2: which there was a incredible poverty and privation and hated 651 00:41:57,040 --> 00:42:01,920 Speaker 2: his parents, who he became strange trum at the age 652 00:42:01,920 --> 00:42:06,680 Speaker 2: of sixteen. But you know, you wonder what different elements 653 00:42:06,880 --> 00:42:12,160 Speaker 2: went into creating this person who was so so. 654 00:42:12,440 --> 00:42:15,600 Speaker 1: Lethal Golden State Killer. Did you look at all him 655 00:42:15,640 --> 00:42:16,480 Speaker 1: Northern California? 656 00:42:16,680 --> 00:42:20,120 Speaker 2: Yeah, I mean I actually did look at him and 657 00:42:20,320 --> 00:42:23,719 Speaker 2: was really interested in him, but took him out just 658 00:42:23,840 --> 00:42:27,480 Speaker 2: because there was was getting to be too many serial 659 00:42:27,600 --> 00:42:31,319 Speaker 2: kills the book and we didn't want it to read 660 00:42:31,360 --> 00:42:37,160 Speaker 2: like an encyclopedia. But yeah, fascinating again, the poverty of 661 00:42:37,239 --> 00:42:42,400 Speaker 2: his background. I think he was abused, physically abused. Hard 662 00:42:42,440 --> 00:42:45,640 Speaker 2: to say what you know, he might have been exposed to. 663 00:42:45,840 --> 00:42:49,359 Speaker 2: But he was running around, you know, gigging frogs, which 664 00:42:49,400 --> 00:42:52,719 Speaker 2: he apparently ate out of this oh boy river which 665 00:42:52,800 --> 00:42:56,720 Speaker 2: was next to a raytheon plant. So I mean, he 666 00:42:56,800 --> 00:42:59,200 Speaker 2: needs his own book, which of course he got with 667 00:42:59,320 --> 00:43:03,520 Speaker 2: Michelle mac Because he committed so many different crimes over 668 00:43:03,600 --> 00:43:07,880 Speaker 2: such a long period of time, you almost can't summarize 669 00:43:08,000 --> 00:43:08,600 Speaker 2: what he did. 670 00:43:08,880 --> 00:43:10,520 Speaker 1: Well, I was going to tell you, you know, my other 671 00:43:10,560 --> 00:43:13,080 Speaker 1: show Buried Bones with Paul Holes, who of course studied 672 00:43:13,080 --> 00:43:16,279 Speaker 1: the Golden worked in the Golden State killer case. We 673 00:43:16,320 --> 00:43:22,359 Speaker 1: did an episode from Australia nineteen sixty three and it 674 00:43:22,719 --> 00:43:26,880 Speaker 1: was a murder investigation of a couple who were cheating 675 00:43:26,880 --> 00:43:29,879 Speaker 1: on their spouses and went down to a river bank 676 00:43:30,680 --> 00:43:34,320 Speaker 1: and we're having sex and the next day somebody finds 677 00:43:34,360 --> 00:43:36,000 Speaker 1: them dead and they're trying to figure out did the 678 00:43:36,000 --> 00:43:37,759 Speaker 1: spouses do it? And it was under all of these 679 00:43:37,840 --> 00:43:42,279 Speaker 1: odd circumstances. Decades later, they did studies and found out 680 00:43:42,320 --> 00:43:45,280 Speaker 1: that during that time period that river was so heavily 681 00:43:45,360 --> 00:43:49,839 Speaker 1: polluted that when they were on the ground, it killed them, 682 00:43:49,920 --> 00:43:54,719 Speaker 1: both of them. Oh, it's so fascinating. Paul almost didn't 683 00:43:54,719 --> 00:43:56,080 Speaker 1: believe it, and I actually I think I had to 684 00:43:56,360 --> 00:43:59,560 Speaker 1: send him to study. And there was a couple to 685 00:43:59,760 --> 00:44:03,040 Speaker 1: win men who in the sixties in Australia in the sixties, 686 00:44:03,320 --> 00:44:04,839 Speaker 1: it would have been no no for them to get 687 00:44:04,840 --> 00:44:07,839 Speaker 1: caught together. But they were having a makeout session they 688 00:44:07,880 --> 00:44:10,560 Speaker 1: heard the other couple come in. They had to crouch 689 00:44:10,600 --> 00:44:13,640 Speaker 1: into the bushes, not to spy on the couple, the 690 00:44:13,640 --> 00:44:17,160 Speaker 1: first couple, but because one of them left the purse nearby, 691 00:44:17,600 --> 00:44:20,400 Speaker 1: so they were crouching and they were low enough so 692 00:44:20,440 --> 00:44:22,360 Speaker 1: they weren't on the ground where the river with the 693 00:44:22,360 --> 00:44:24,759 Speaker 1: pollution was coming off on the river, but they were 694 00:44:24,880 --> 00:44:27,359 Speaker 1: squatting down low enough where they both felt sick, like 695 00:44:27,400 --> 00:44:29,480 Speaker 1: they both thought they were going to pass out, I know, 696 00:44:29,880 --> 00:44:31,680 Speaker 1: and then they ended up leaving. They said that that 697 00:44:31,800 --> 00:44:34,319 Speaker 1: river was so polluted that was bubbling up and it 698 00:44:34,360 --> 00:44:37,239 Speaker 1: was some nearby plant and it had been known as 699 00:44:37,280 --> 00:44:40,200 Speaker 1: being an awful polluter. And so you know, they ran 700 00:44:40,239 --> 00:44:42,799 Speaker 1: all these tests on these two bodies and that's what 701 00:44:42,840 --> 00:44:45,799 Speaker 1: they found out. So you know, when I unraveled these 702 00:44:45,840 --> 00:44:48,960 Speaker 1: stories for Paul Holes, he never knows where it's going, 703 00:44:49,000 --> 00:44:51,759 Speaker 1: and he was really convinced this was murder, and I said, no, 704 00:44:52,840 --> 00:44:56,400 Speaker 1: talk to the industrialists who created this plant nearby, and 705 00:44:56,440 --> 00:44:58,359 Speaker 1: I had never heard. I just didn't know that that 706 00:44:58,400 --> 00:45:01,759 Speaker 1: pollution would do that. I knew from death in the air. 707 00:45:02,000 --> 00:45:05,960 Speaker 1: But they've done animal testing, I'm assuming with lead and arsenic. 708 00:45:06,560 --> 00:45:11,680 Speaker 2: Yeah, I mean, obviously you can't test those on people deliberately. 709 00:45:12,320 --> 00:45:16,000 Speaker 2: Some of the more interesting tests are early in the fifties, 710 00:45:16,040 --> 00:45:19,320 Speaker 2: who were done with kids looking at their teeth because 711 00:45:19,360 --> 00:45:23,040 Speaker 2: they could measure you know, what they call the indigenous 712 00:45:23,080 --> 00:45:25,560 Speaker 2: teeth or something, you know, because they lose their kids 713 00:45:25,680 --> 00:45:28,840 Speaker 2: lose their teeth, and so you can take those teeth 714 00:45:28,960 --> 00:45:33,120 Speaker 2: and then test them for lead. And yeah, that was 715 00:45:33,160 --> 00:45:38,759 Speaker 2: showing significant aspects of aggression in people's behavior. But do 716 00:45:38,800 --> 00:45:42,600 Speaker 2: you know what kind of pollution the Australia case. 717 00:45:42,680 --> 00:45:47,280 Speaker 1: Was, or let me see high concentrations of hydrogen sulfate 718 00:45:47,360 --> 00:45:51,040 Speaker 1: from a nearby flour mill that had been dumping waste 719 00:45:51,120 --> 00:45:54,640 Speaker 1: into the river for sixty years and in an area 720 00:45:54,640 --> 00:45:57,800 Speaker 1: of the river that was dammed right where this couple 721 00:45:58,040 --> 00:46:01,480 Speaker 1: was found, so the gas was built up and the 722 00:46:01,560 --> 00:46:05,200 Speaker 1: river bottom could suddenly release large amounts of hydrogen soul fight. 723 00:46:05,719 --> 00:46:08,600 Speaker 1: Can you imagine that? I mean, oh my goodness. 724 00:46:08,480 --> 00:46:12,080 Speaker 2: Yeah, that's incredible. It reminds me of the you know 725 00:46:12,239 --> 00:46:16,240 Speaker 2: the descriptions I read about coming out of the Bunker 726 00:46:16,360 --> 00:46:20,960 Speaker 2: Hill mines and smelter in Idaho, because kids used to 727 00:46:20,960 --> 00:46:24,680 Speaker 2: be afraid that their balls would fall in the stream 728 00:46:25,200 --> 00:46:29,680 Speaker 2: that went through town because they would melt. You know, 729 00:46:29,760 --> 00:46:32,040 Speaker 2: if you had like a big rubber ball and it 730 00:46:32,120 --> 00:46:34,600 Speaker 2: fell in, it would melt. And there was you know, 731 00:46:34,680 --> 00:46:38,880 Speaker 2: in that town. There was an elementary school directly across 732 00:46:38,920 --> 00:46:43,360 Speaker 2: the street from the smelter smoke stack, and the teachers 733 00:46:43,360 --> 00:46:46,960 Speaker 2: would sometimes say, you know, they would be afraid that 734 00:46:47,000 --> 00:46:50,000 Speaker 2: the building was on fire because there was so much 735 00:46:50,080 --> 00:46:53,680 Speaker 2: smoke in the building. So yeah, that whole thing of 736 00:46:53,760 --> 00:46:57,799 Speaker 2: the incredibly polluted rivers. I mean when you think back 737 00:46:57,840 --> 00:47:00,879 Speaker 2: to the seventies and the you know kay Oga River 738 00:47:01,040 --> 00:47:03,880 Speaker 2: that caught on fire, which was sort of one of 739 00:47:03,920 --> 00:47:07,680 Speaker 2: the reasons why we now have you know, the Clean 740 00:47:07,760 --> 00:47:11,160 Speaker 2: Water Act and the EPA and so forth. But yeah, 741 00:47:11,200 --> 00:47:16,360 Speaker 2: Australia is full of stories about you know, mining pollution 742 00:47:16,640 --> 00:47:21,520 Speaker 2: like that because they had so many mines. My husband 743 00:47:21,520 --> 00:47:25,439 Speaker 2: and I once were driving through a place in Tasmania 744 00:47:25,480 --> 00:47:28,839 Speaker 2: where we're driving to a national park. Of course I'd 745 00:47:28,880 --> 00:47:31,759 Speaker 2: never been there before, and we ended up driving through 746 00:47:31,800 --> 00:47:37,360 Speaker 2: this town and a hillside that was so heavily polluted 747 00:47:37,400 --> 00:47:43,320 Speaker 2: by copper mines that it was orange. Like the whole 748 00:47:43,400 --> 00:47:49,279 Speaker 2: hillside behind this town was the most unnatural shade of orange. 749 00:47:49,719 --> 00:47:51,840 Speaker 2: And I mean I was afraid to get out of 750 00:47:51,880 --> 00:47:54,920 Speaker 2: the car, you know. And there are a lot of 751 00:47:54,920 --> 00:47:58,600 Speaker 2: places in this country where you can drive in Arizona, 752 00:47:58,680 --> 00:48:01,279 Speaker 2: for example, if you get off the beaten track, you'll 753 00:48:01,320 --> 00:48:06,480 Speaker 2: find yourself, you know, driving through open pit mines. I 754 00:48:06,480 --> 00:48:10,520 Speaker 2: think there are three remaining primary smelters in this country, 755 00:48:10,560 --> 00:48:12,120 Speaker 2: and two of them are in Arizona. 756 00:48:12,560 --> 00:48:15,920 Speaker 1: Well, you probably know this answer just from your own experience. 757 00:48:16,000 --> 00:48:18,560 Speaker 1: But when I was doing interviews for Death in the 758 00:48:18,600 --> 00:48:21,040 Speaker 1: Air of the people who were alive during the smog 759 00:48:21,080 --> 00:48:24,799 Speaker 1: in fifty two, I asked Holly, six of them gave 760 00:48:24,800 --> 00:48:26,799 Speaker 1: me the exact same response. I said, what did it 761 00:48:26,880 --> 00:48:28,960 Speaker 1: smell like? What did it feel like to you? The 762 00:48:29,000 --> 00:48:32,040 Speaker 1: air pollution? And I was wondering if you had sort 763 00:48:32,080 --> 00:48:34,640 Speaker 1: of this way that you could respond as far as 764 00:48:35,000 --> 00:48:38,600 Speaker 1: lead and viscerally, how it feels. They said it smelled 765 00:48:38,680 --> 00:48:41,799 Speaker 1: when the small came five day smog, it smelled like 766 00:48:41,960 --> 00:48:45,279 Speaker 1: rotten eggs in a barrel. And then one of the 767 00:48:45,280 --> 00:48:49,000 Speaker 1: women who everybody agreed with said that when you would 768 00:48:49,000 --> 00:48:52,080 Speaker 1: breathe it in, it was if you can imagine metal 769 00:48:52,120 --> 00:48:56,640 Speaker 1: shavings and swallowing metal shavings, That's what it felt like. 770 00:48:57,320 --> 00:49:00,440 Speaker 2: A lot of people and to come out remember that 771 00:49:00,640 --> 00:49:05,400 Speaker 2: and associated it with arsenic. They remembered the metal taste 772 00:49:05,960 --> 00:49:08,640 Speaker 2: in their mouth. There was one guy who said it 773 00:49:08,680 --> 00:49:12,920 Speaker 2: was like playing tennis with a lighted match in your mouth. 774 00:49:13,360 --> 00:49:17,720 Speaker 2: Oh but yeah, which that was such a weird image. 775 00:49:18,600 --> 00:49:23,440 Speaker 2: And there's another guy I talked about who worked briefly 776 00:49:23,600 --> 00:49:27,040 Speaker 2: at the smelter as a college kid during the summer, 777 00:49:27,280 --> 00:49:31,480 Speaker 2: but his father worked there for years as a foreman, 778 00:49:32,120 --> 00:49:35,759 Speaker 2: and he had what they called smelter nose, which he 779 00:49:35,920 --> 00:49:39,480 Speaker 2: had a septum that inside his nose there was just 780 00:49:39,520 --> 00:49:42,600 Speaker 2: this hole and he could put his finger through the 781 00:49:42,719 --> 00:49:46,280 Speaker 2: hole in his nose because it had just been eaten away. 782 00:49:46,719 --> 00:49:49,680 Speaker 2: So yeah, there were a lot of stories about that, 783 00:49:49,840 --> 00:49:52,759 Speaker 2: and I'm not sure how you separate whether that was 784 00:49:53,280 --> 00:49:58,440 Speaker 2: arsenic or lead. I certainly remember, not that I was 785 00:49:58,480 --> 00:50:03,319 Speaker 2: too far away to have experienced the taste sensation, but 786 00:50:04,040 --> 00:50:08,280 Speaker 2: I do remember the nineteen seventies in the Northwest having 787 00:50:08,400 --> 00:50:11,799 Speaker 2: more smog, and I think some of that must have 788 00:50:11,920 --> 00:50:14,680 Speaker 2: been from the the asarca smelter. 789 00:50:15,160 --> 00:50:18,080 Speaker 1: If there is one thing that you want people to 790 00:50:18,120 --> 00:50:20,759 Speaker 1: walk away from when they read your book, not a 791 00:50:20,880 --> 00:50:24,319 Speaker 1: theme necessarily, or a question that they would like an 792 00:50:24,320 --> 00:50:26,120 Speaker 1: answer to, what do you think that would be? What 793 00:50:26,239 --> 00:50:29,839 Speaker 1: is the point? At a dinner party you say that 794 00:50:29,880 --> 00:50:30,719 Speaker 1: you wrote the book for. 795 00:50:31,520 --> 00:50:34,040 Speaker 2: Yeah, I mean, I don't think the book is intended 796 00:50:34,080 --> 00:50:38,480 Speaker 2: as a public service announcement, and I hope that people 797 00:50:38,520 --> 00:50:44,520 Speaker 2: find it compelling and entertaining and a good story, good 798 00:50:44,640 --> 00:50:48,480 Speaker 2: narrative about this subject. But yeah, I mean, I do 799 00:50:48,560 --> 00:50:53,200 Speaker 2: think that people need to know more about the incredible 800 00:50:53,800 --> 00:50:58,160 Speaker 2: sort of dangers of legacy pollution that are still out there. 801 00:50:58,640 --> 00:51:02,040 Speaker 2: I think people because we don't see it, you know, 802 00:51:02,080 --> 00:51:05,520 Speaker 2: because we don't see the lead in our environment, we 803 00:51:05,600 --> 00:51:09,560 Speaker 2: don't realize how dangerous it is. I mean, every once 804 00:51:09,560 --> 00:51:12,960 Speaker 2: in a while there's a story that comes along, like flint, 805 00:51:13,120 --> 00:51:16,880 Speaker 2: you know, Michigan, the lead and the pipes, or lead 806 00:51:17,200 --> 00:51:21,520 Speaker 2: and paint in older housing. But I think we have 807 00:51:21,560 --> 00:51:25,640 Speaker 2: to realize that everybody can be exposed to this. It 808 00:51:25,640 --> 00:51:28,520 Speaker 2: can be in crops, it can be in toothpaste, it 809 00:51:28,560 --> 00:51:33,560 Speaker 2: can be in baby food, in rice. It's something that 810 00:51:33,719 --> 00:51:37,040 Speaker 2: is so dangerous that we really have to get a 811 00:51:37,120 --> 00:51:41,880 Speaker 2: handle on how to get it out of our environment, 812 00:51:42,280 --> 00:51:46,680 Speaker 2: and if we don't, we're going to live with the consequences. 813 00:51:47,200 --> 00:51:49,319 Speaker 2: I mean, I just don't know how us to say it, 814 00:51:49,360 --> 00:51:52,960 Speaker 2: but it's out there and we have to figure out 815 00:51:53,000 --> 00:51:57,799 Speaker 2: a way to deal with environmental issues that's not political. 816 00:52:09,440 --> 00:52:12,320 Speaker 1: If you love historical true crime stories, check out the 817 00:52:12,360 --> 00:52:15,239 Speaker 1: audio versions of my books The Ghost Club, All That 818 00:52:15,360 --> 00:52:18,600 Speaker 1: Is Wicked, and American Sherlock, and Don't Forget There are 819 00:52:18,680 --> 00:52:22,440 Speaker 1: twelve seasons of my historical true crime podcast Tenfold More 820 00:52:22,480 --> 00:52:26,120 Speaker 1: Wicked right here in this podcast feed, scroll back and 821 00:52:26,160 --> 00:52:28,920 Speaker 1: give them a listen if you haven't already. This has 822 00:52:28,960 --> 00:52:33,480 Speaker 1: been an exactly right production. Our senior producer is Alexis M. Morosi. 823 00:52:33,840 --> 00:52:38,320 Speaker 1: Our associate producer is Christina Chamberlain. This episode was mixed 824 00:52:38,320 --> 00:52:42,200 Speaker 1: by John Bradley. Curtis heath is our composer, artwork by 825 00:52:42,360 --> 00:52:46,759 Speaker 1: Nick Toga. Executive produced by Georgia Hardstark, Karen Kilgarriff and 826 00:52:46,840 --> 00:52:51,000 Speaker 1: Danielle Kramer. Listen to Wicked Words on the iHeartRadio app, 827 00:52:51,120 --> 00:52:54,840 Speaker 1: Apple Podcasts, or wherever you get your podcasts. Follow Wicked 828 00:52:54,840 --> 00:52:59,080 Speaker 1: Words on Instagram at tenfold more Wicked and on Facebook 829 00:52:59,160 --> 00:53:00,720 Speaker 1: at Wicked war birds Pod