1 00:00:05,720 --> 00:00:08,520 Speaker 1: Hey, welcome to Stuff to Blow your mind. My name 2 00:00:08,560 --> 00:00:12,319 Speaker 1: is Robert Lamb and I'm Joe McCormick. And today we 3 00:00:12,400 --> 00:00:17,919 Speaker 1: are bringing you an emergency substitution vault episode because Rob 4 00:00:17,960 --> 00:00:22,000 Speaker 1: and I and Seth just had the every podcaster's nightmare 5 00:00:22,320 --> 00:00:25,560 Speaker 1: where we had an episode all recorded, uh and and 6 00:00:26,000 --> 00:00:28,800 Speaker 1: ready to have for you tomorrow, and it was lost 7 00:00:28,840 --> 00:00:32,239 Speaker 1: to due to a technical glitch. Uh you should have 8 00:00:32,320 --> 00:00:36,559 Speaker 1: heard the sounds of anguish echoing through my home. Uh. So, 9 00:00:36,560 --> 00:00:39,040 Speaker 1: so instead we are bringing you a vault episode. But 10 00:00:39,200 --> 00:00:41,400 Speaker 1: it's a really good one, so that this should really 11 00:00:41,440 --> 00:00:44,120 Speaker 1: be a treat. This was our interview with Mary Roach 12 00:00:44,200 --> 00:00:50,159 Speaker 1: from last year, originally published on September, and it's about 13 00:00:50,200 --> 00:00:55,480 Speaker 1: her wonderful, funny and fascinating book Fuzz When Nature breaks 14 00:00:55,520 --> 00:00:58,400 Speaker 1: the law. Absolutely, so let's go ahead and dive right 15 00:00:58,400 --> 00:01:01,720 Speaker 1: into it. And Neil's say, the book Fuzz is available 16 00:01:01,720 --> 00:01:04,680 Speaker 1: wherever you get your books. Yes, oh oh, and so 17 00:01:04,840 --> 00:01:07,240 Speaker 1: Whistling Part four, which we were going to have for 18 00:01:07,280 --> 00:01:09,720 Speaker 1: you today, We're gonna have to re record that episode. 19 00:01:09,720 --> 00:01:12,360 Speaker 1: That'll be a strange experience, but we that that should 20 00:01:12,360 --> 00:01:15,479 Speaker 1: be out for you. I believe next Tuesday. We haven't 21 00:01:15,480 --> 00:01:17,800 Speaker 1: had this happen in a very very long time. So 22 00:01:17,840 --> 00:01:21,200 Speaker 1: this this is an exceedingly rare occurrence. So uh yeah, 23 00:01:21,360 --> 00:01:24,759 Speaker 1: it'll be business as usual next week. Can we create 24 00:01:24,800 --> 00:01:26,960 Speaker 1: the illusion? Can we make it feel like the first 25 00:01:27,000 --> 00:01:33,199 Speaker 1: time again? I don't know. We'll see what happens. Welcome 26 00:01:33,240 --> 00:01:36,160 Speaker 1: to Stuff to Blow Your Mind production of My Heart Radio. 27 00:01:42,680 --> 00:01:44,720 Speaker 1: Hey you, welcome to Stuff to Blow your Mind. My 28 00:01:44,800 --> 00:01:48,320 Speaker 1: name is Robert Lamb and I'm Joe McCormick. In today's 29 00:01:48,320 --> 00:01:49,720 Speaker 1: episode of Stuff to Blow Your Mind, we have a 30 00:01:49,760 --> 00:01:53,559 Speaker 1: special interview guest. It's science writer Mary Roach. We're gonna 31 00:01:53,600 --> 00:01:56,840 Speaker 1: be chatting with her about her new book Fuzz When 32 00:01:56,960 --> 00:02:00,160 Speaker 1: Nature Breaks the Law, which is out today where where 33 00:02:00,200 --> 00:02:03,080 Speaker 1: you get your books. This is my first Mary Roach book, 34 00:02:03,240 --> 00:02:07,440 Speaker 1: and I love it it. I I feel ashamed now 35 00:02:07,520 --> 00:02:10,440 Speaker 1: that I had never read one of her books before. Um, 36 00:02:10,560 --> 00:02:14,959 Speaker 1: but she has such an infectious and enjoyable prose style 37 00:02:15,120 --> 00:02:17,480 Speaker 1: that really gets in your head. Um. One of the 38 00:02:17,520 --> 00:02:19,880 Speaker 1: things that I wanted to emphasize in the intro here 39 00:02:20,000 --> 00:02:22,680 Speaker 1: because because I had just been thinking about it. In 40 00:02:22,800 --> 00:02:25,359 Speaker 1: terms of subject matter, this book gets into a lot 41 00:02:25,400 --> 00:02:29,440 Speaker 1: of kind of dark and grizzly sounding stuff. But it 42 00:02:29,520 --> 00:02:32,720 Speaker 1: is but despite that it is a really funny book. 43 00:02:32,760 --> 00:02:34,880 Speaker 1: It is like one of the most laugh out loud 44 00:02:34,919 --> 00:02:38,320 Speaker 1: funny books I've read in a long time. Yeah, it's engaging, 45 00:02:38,400 --> 00:02:41,320 Speaker 1: it's weird, it's fun. Um. I was telling my wife 46 00:02:41,360 --> 00:02:44,600 Speaker 1: about the book, and she's read Mary Roach before, and 47 00:02:44,720 --> 00:02:46,679 Speaker 1: my wife was like, well, some of that sounds a 48 00:02:46,680 --> 00:02:47,920 Speaker 1: little dark. I don't know, I want to read that 49 00:02:48,000 --> 00:02:50,120 Speaker 1: right now. But but of course this has always been 50 00:02:50,120 --> 00:02:52,240 Speaker 1: the way with Mary Roach books. There they do get 51 00:02:52,240 --> 00:02:57,360 Speaker 1: into dark territory, but they are always fun and and humorous. Um. 52 00:02:57,400 --> 00:03:00,600 Speaker 1: If you're not familiar out there. Her previous book include 53 00:03:01,120 --> 00:03:04,800 Speaker 1: two thousand three Stiff, which is about cadaver's two thousand 54 00:03:04,800 --> 00:03:09,799 Speaker 1: five Spook, which is about scientific inquiries, especially early scientific 55 00:03:09,800 --> 00:03:13,400 Speaker 1: inquiries into the supernatural, two thousand eights Bunk, which is 56 00:03:13,400 --> 00:03:17,359 Speaker 1: about sexuality, two thousand tens Packing for Mars, which is 57 00:03:17,400 --> 00:03:23,440 Speaker 1: about the science scientific research into UH into into the 58 00:03:23,480 --> 00:03:26,560 Speaker 1: Quest for Space, two thousand thirteens Gulp, which is about 59 00:03:26,840 --> 00:03:32,120 Speaker 1: human digestion uh and then two thousand sixteens book was Grunt, 60 00:03:32,240 --> 00:03:37,440 Speaker 1: which is about military scientific investigations. I've read all of 61 00:03:37,480 --> 00:03:39,840 Speaker 1: these and I think this is the This is the 62 00:03:39,880 --> 00:03:42,200 Speaker 1: fourth time Mary has actually been on stuff to blow 63 00:03:42,280 --> 00:03:45,000 Speaker 1: your mind, as she previously dropped in to talk about 64 00:03:45,040 --> 00:03:48,280 Speaker 1: packing for Mars Gulp and Grunt. She's either our most 65 00:03:48,320 --> 00:03:50,960 Speaker 1: featured guests at this point or she's tied for the honors. 66 00:03:51,000 --> 00:03:54,120 Speaker 1: I can't remember either way, Friend of the Show's status 67 00:03:54,200 --> 00:03:59,920 Speaker 1: is definitely in place. Mary Roach, thanks for joining us today. Cook. 68 00:04:00,000 --> 00:04:05,960 Speaker 1: Could you introduce yourself? Of course, I'm Mary Roach. As 69 00:04:06,000 --> 00:04:09,360 Speaker 1: you said, I have a nonfiction author, and my most 70 00:04:09,400 --> 00:04:13,000 Speaker 1: recent book is called Fuzz SubTime Is When Nature Breaks 71 00:04:13,000 --> 00:04:17,479 Speaker 1: the Law. I have been so enjoying this book. I 72 00:04:17,600 --> 00:04:20,920 Speaker 1: love your dry, humorous prose style in it, and I 73 00:04:20,960 --> 00:04:24,760 Speaker 1: thought before we got any broader questions about about the 74 00:04:24,760 --> 00:04:27,200 Speaker 1: book and what you've learned from writing it, I thought 75 00:04:27,240 --> 00:04:28,919 Speaker 1: it would be good to kick off with an example 76 00:04:28,960 --> 00:04:31,480 Speaker 1: of the kinds of experiences you cover in the book. 77 00:04:31,520 --> 00:04:34,039 Speaker 1: And so I loved the story you cover in the 78 00:04:34,120 --> 00:04:37,719 Speaker 1: very first chapter about the Wildlife Human Attack Response Training 79 00:04:37,760 --> 00:04:40,960 Speaker 1: course you went through in Las Vegas. Could you tell 80 00:04:41,040 --> 00:04:44,120 Speaker 1: us a bit about this conference and and what got 81 00:04:44,200 --> 00:04:47,400 Speaker 1: you there and what it was like? Sure? Sure, yeah. 82 00:04:47,480 --> 00:04:53,640 Speaker 1: It's called uh Wildlife Human Attack Response Training UH or WART, 83 00:04:55,000 --> 00:04:58,120 Speaker 1: which by its founders admission, is a terrible acronym. So 84 00:04:58,279 --> 00:05:01,320 Speaker 1: WART is a five day course which I was lucky 85 00:05:01,400 --> 00:05:04,080 Speaker 1: enough to be able to sit in on, and it's 86 00:05:04,120 --> 00:05:09,520 Speaker 1: most almost entirely attended by people who deal with wildlife 87 00:05:09,560 --> 00:05:13,240 Speaker 1: attacks the aftermath of the attack, and it's basically, you know, 88 00:05:13,240 --> 00:05:15,839 Speaker 1: you're setting up a crime scene and you're doing forensics, 89 00:05:15,839 --> 00:05:17,400 Speaker 1: as you might in the case of a human on 90 00:05:17,560 --> 00:05:22,479 Speaker 1: human killing, uh, and you're trying to trying to take evidence, 91 00:05:22,600 --> 00:05:27,479 Speaker 1: collect evidence, established linkage between the perpetrator and the victim. Um. 92 00:05:28,600 --> 00:05:31,200 Speaker 1: And if they've they've caught an animal that they think 93 00:05:31,320 --> 00:05:33,919 Speaker 1: might be the animal and the DNA doesn't match or 94 00:05:33,920 --> 00:05:36,960 Speaker 1: they don't they're not able to establish that linkage, they'll 95 00:05:37,000 --> 00:05:41,320 Speaker 1: release the animals. So there's these bizarre parallels to the 96 00:05:41,400 --> 00:05:45,520 Speaker 1: human the human criminal justice system. But for me, it 97 00:05:45,600 --> 00:05:48,080 Speaker 1: was just a fascinating five days of hanging out and 98 00:05:48,120 --> 00:05:51,720 Speaker 1: hearing a lot about predator attacks and the aftermath, which 99 00:05:52,080 --> 00:05:57,680 Speaker 1: was both fascinating and often quite grizzly g R. I 100 00:05:57,800 --> 00:06:01,440 Speaker 1: yes's not easy, um and so yeah, And it was 101 00:06:02,000 --> 00:06:05,080 Speaker 1: utterly fascinating to me because I've you know, I've never 102 00:06:05,640 --> 00:06:08,560 Speaker 1: encountered this world and did not know that these crime 103 00:06:08,600 --> 00:06:11,880 Speaker 1: scenes were processed that way and that this work was done. Yeah, 104 00:06:11,920 --> 00:06:15,560 Speaker 1: so you include some details about like these sessions where 105 00:06:15,600 --> 00:06:18,160 Speaker 1: you would be given a mannequin that had these wounds 106 00:06:18,240 --> 00:06:20,839 Speaker 1: inflicted on it with saws and knives and things, and 107 00:06:20,880 --> 00:06:23,840 Speaker 1: you'd have to establish what type of animal it was 108 00:06:23,920 --> 00:06:27,360 Speaker 1: from the wounds on the mannequin. Yeah, yeah, yeah, yeah. 109 00:06:27,400 --> 00:06:30,360 Speaker 1: They had these soft touch mannequins. They're not like something 110 00:06:30,360 --> 00:06:33,200 Speaker 1: you'd see in a store window. They were they were 111 00:06:33,839 --> 00:06:36,560 Speaker 1: you know, they're fleshy, I'll say fleshy. And they were 112 00:06:36,880 --> 00:06:40,400 Speaker 1: the people who had created these wounds were people who've 113 00:06:40,400 --> 00:06:42,640 Speaker 1: seen that. I mean, they were based on actual bodies 114 00:06:43,279 --> 00:06:46,800 Speaker 1: and the wounds on the victims of attacks. Some of 115 00:06:46,800 --> 00:06:50,320 Speaker 1: them bear, some of them cougar or mountain lion um 116 00:06:50,360 --> 00:06:54,679 Speaker 1: and uh quite uh quite realistic, I have to say. 117 00:06:54,839 --> 00:06:58,000 Speaker 1: And and so they were, they were. We all had workstations, 118 00:06:58,080 --> 00:07:00,440 Speaker 1: you know, they were about it. There were about eight 119 00:07:00,960 --> 00:07:05,960 Speaker 1: or more, maybe a few more workstations. Each group had uh, 120 00:07:06,279 --> 00:07:09,480 Speaker 1: mock victim. And the idea was, look at these wounds 121 00:07:09,560 --> 00:07:12,400 Speaker 1: and what can you learn And you can pretty quickly, 122 00:07:12,600 --> 00:07:16,360 Speaker 1: uh make a distinction between first of all, human versus 123 00:07:16,400 --> 00:07:20,600 Speaker 1: animal and then uh uh mountain lion versus bag. They 124 00:07:20,680 --> 00:07:23,480 Speaker 1: kill in very different ways. They have very different teeth 125 00:07:23,520 --> 00:07:26,040 Speaker 1: and claws, and the marks on the body and the 126 00:07:26,080 --> 00:07:30,400 Speaker 1: wounds will tell you, um quite readily who the perpetrator 127 00:07:30,480 --> 00:07:34,600 Speaker 1: or what species the perpetrator was UM. And then after 128 00:07:34,720 --> 00:07:38,160 Speaker 1: that is established and you sort of you're moving down 129 00:07:38,200 --> 00:07:42,440 Speaker 1: to more than nitty gritty of looking at saliva, you know, 130 00:07:42,480 --> 00:07:45,280 Speaker 1: matching DNA between the victim and the animal. So you 131 00:07:45,400 --> 00:07:48,280 Speaker 1: might be doing that with saliva on the victim's body 132 00:07:49,000 --> 00:07:53,400 Speaker 1: or blood. You might be looking into the gums of 133 00:07:53,480 --> 00:07:56,360 Speaker 1: the animal to see is their human tissue there and 134 00:07:56,400 --> 00:07:59,840 Speaker 1: does is that? Does that match the victims So you 135 00:08:00,880 --> 00:08:02,880 Speaker 1: just like you might do on you know, C s 136 00:08:02,960 --> 00:08:06,280 Speaker 1: I or one of those shows that I never watched 137 00:08:06,280 --> 00:08:11,000 Speaker 1: with those forensics shows, so uh, super interesting stuff. One 138 00:08:11,000 --> 00:08:13,160 Speaker 1: of the details from the section that really stuck with 139 00:08:13,200 --> 00:08:15,440 Speaker 1: me was in warning to everyone, this is about to 140 00:08:15,480 --> 00:08:19,200 Speaker 1: get gruesome. The idea of since bears tend to when 141 00:08:19,280 --> 00:08:21,680 Speaker 1: they do attack humans, which is rare, but when they do, 142 00:08:21,760 --> 00:08:24,360 Speaker 1: they tend to bite repeatedly at the face that you 143 00:08:24,400 --> 00:08:28,600 Speaker 1: might expect to say, find human facial features like lips 144 00:08:28,680 --> 00:08:32,240 Speaker 1: or something, it's stuck in the bear's teeth or the stomach. 145 00:08:32,480 --> 00:08:37,400 Speaker 1: You would examine the bear's stomach contents and they're you know, 146 00:08:37,480 --> 00:08:41,560 Speaker 1: they're they're uh not necessarily chewing all that thoroughly, and 147 00:08:41,640 --> 00:08:44,640 Speaker 1: so you might find you know, an entire i or 148 00:08:44,679 --> 00:08:48,360 Speaker 1: in one case, a part of the scalp with a 149 00:08:48,440 --> 00:08:52,320 Speaker 1: mohawk haircut and which in fact match the victim's hairstyle. 150 00:08:53,040 --> 00:08:57,560 Speaker 1: So yeah, with bears, because bears, when they attack each other, 151 00:08:58,000 --> 00:09:00,280 Speaker 1: they use their teeth and go for the face. They 152 00:09:00,280 --> 00:09:02,559 Speaker 1: go for each other's face because that's lightly furred and 153 00:09:02,600 --> 00:09:05,280 Speaker 1: they can inflict more damage. And that's the sets. They're 154 00:09:05,360 --> 00:09:08,720 Speaker 1: kind of Achilles heel, which is in there on their head, 155 00:09:08,800 --> 00:09:12,840 Speaker 1: not their foot. Uh, so they're u that's kind of 156 00:09:12,880 --> 00:09:16,200 Speaker 1: what they do and when that which makes for some 157 00:09:16,280 --> 00:09:23,439 Speaker 1: pretty horrible injuries. Also you see that also um with 158 00:09:23,440 --> 00:09:26,719 Speaker 1: with cougars because they they're biting at the neck um. 159 00:09:26,720 --> 00:09:29,640 Speaker 1: But sometimes you know when um, I use the comparison 160 00:09:29,679 --> 00:09:33,040 Speaker 1: again rather grizzly, but when you think of biting into 161 00:09:33,040 --> 00:09:36,080 Speaker 1: a very ripe plum, how when you bite into it, 162 00:09:36,160 --> 00:09:39,840 Speaker 1: the skin pulls away. So so what you sometimes have 163 00:09:40,040 --> 00:09:43,120 Speaker 1: is kind of these scalpings as at work. Was that 164 00:09:43,200 --> 00:09:45,120 Speaker 1: you know, if you if you try if you're an 165 00:09:45,120 --> 00:09:47,560 Speaker 1: animal and you're trying to get your jaw around a 166 00:09:47,640 --> 00:09:50,679 Speaker 1: human head, you're hitting bone right away, and then you 167 00:09:50,760 --> 00:09:54,200 Speaker 1: close your jaws and it pulls the skin away. So 168 00:09:54,320 --> 00:09:58,680 Speaker 1: some of these um mannequins were really a little tough 169 00:09:58,760 --> 00:10:02,040 Speaker 1: to tough to see, and I can imagine coming upon 170 00:10:02,240 --> 00:10:05,000 Speaker 1: the real thing would be pretty disturbing. But one of 171 00:10:05,040 --> 00:10:08,440 Speaker 1: the interesting things that is this is a takeaway from 172 00:10:08,440 --> 00:10:11,080 Speaker 1: observing all these different kinds of wounds, is that almost 173 00:10:11,160 --> 00:10:15,199 Speaker 1: all of them indicate that we are not really what 174 00:10:15,320 --> 00:10:18,719 Speaker 1: this animal has evolved to use its jaws or claws on. 175 00:10:19,360 --> 00:10:21,960 Speaker 1: And so like you described with the with the cougars 176 00:10:21,960 --> 00:10:24,160 Speaker 1: biting the back of the head or bears attacking humans, 177 00:10:24,640 --> 00:10:28,800 Speaker 1: the bites almost reveal the strangeness of this encounter between 178 00:10:28,800 --> 00:10:33,440 Speaker 1: the human and the animal. Right a bear bears eating 179 00:10:33,480 --> 00:10:38,959 Speaker 1: I mean they're they're mostly eating nuts, berries, fruit, um, 180 00:10:39,160 --> 00:10:43,880 Speaker 1: if sometimes fish, grasses. So they have molars that they 181 00:10:43,920 --> 00:10:45,800 Speaker 1: have a jaw that goes side to side, and they 182 00:10:45,920 --> 00:10:50,040 Speaker 1: got molars for crushing and grinding um. So there, so 183 00:10:50,400 --> 00:10:53,960 Speaker 1: the bites on a human, it's a it's it's messy, 184 00:10:54,280 --> 00:10:56,360 Speaker 1: is the way it was put. It's kind of a 185 00:10:56,440 --> 00:11:00,480 Speaker 1: messy affair. Whereas uh, a mountain line and as does 186 00:11:00,520 --> 00:11:04,839 Speaker 1: a leaps attacks secures, the pride does a killing bite. 187 00:11:04,880 --> 00:11:08,599 Speaker 1: So these puncture wounds, these triangular puncture wounds, it's a 188 00:11:08,679 --> 00:11:12,160 Speaker 1: less messy death, if you will. So, yeah, you can 189 00:11:12,200 --> 00:11:15,840 Speaker 1: really see how the animals equipped to gather its food 190 00:11:16,040 --> 00:11:18,560 Speaker 1: and uh. And with mountain lions, yeah, they do tend 191 00:11:18,600 --> 00:11:23,000 Speaker 1: to they pounce and kill. They are predators and true carnivores, 192 00:11:23,040 --> 00:11:25,520 Speaker 1: but they're not in true we're not on the menu 193 00:11:26,040 --> 00:11:29,040 Speaker 1: they like deer or wild pigs or they're not they're 194 00:11:29,080 --> 00:11:32,840 Speaker 1: not going after humans. Very very rarely a whole decade. 195 00:11:33,320 --> 00:11:35,280 Speaker 1: We'll go buy in California where we don't have a 196 00:11:35,320 --> 00:11:40,600 Speaker 1: single mountain lion fatality. It's just a very unusual occurrence. Now, 197 00:11:40,640 --> 00:11:44,920 Speaker 1: speaking of bears, I sually, I really enjoyed the how 198 00:11:44,960 --> 00:11:46,640 Speaker 1: not only with the bear chapter, but you know, multiple 199 00:11:46,679 --> 00:11:51,199 Speaker 1: chapters in the book. You you kind of you turn 200 00:11:51,240 --> 00:11:53,520 Speaker 1: our pre existing notions of these animals kind of on 201 00:11:53,559 --> 00:11:55,560 Speaker 1: their head, even if we think that our pre existing 202 00:11:55,559 --> 00:11:59,000 Speaker 1: notions are kind of you know, well informed. Uh, but 203 00:11:59,160 --> 00:12:01,040 Speaker 1: with the with the bear in particular, when you're talking 204 00:12:01,080 --> 00:12:04,959 Speaker 1: about the break ins that are perpetrated by bears, and 205 00:12:05,080 --> 00:12:08,599 Speaker 1: in these cases, how it seems like the bear is 206 00:12:08,640 --> 00:12:10,680 Speaker 1: such a contradiction. Can you speak to like some of 207 00:12:10,679 --> 00:12:14,200 Speaker 1: those some of those details about like how how reckless 208 00:12:14,240 --> 00:12:18,920 Speaker 1: they can be, but then so how just almost hauntingly precise. Sure. Yeah, 209 00:12:18,960 --> 00:12:23,520 Speaker 1: I spent some time in um Picken County, Colorado, on 210 00:12:23,559 --> 00:12:27,440 Speaker 1: the outskirts of downtown Aspen, up in the hills. Um 211 00:12:27,440 --> 00:12:31,400 Speaker 1: and this is a ski resort town. We're up in 212 00:12:31,400 --> 00:12:34,520 Speaker 1: the mountains. We are in bear territory. Uh, and so 213 00:12:34,800 --> 00:12:40,120 Speaker 1: uh the bears are the bears start to realize nuts 214 00:12:40,160 --> 00:12:42,960 Speaker 1: and berries, these are great, grab apples, choke cherry, this 215 00:12:43,040 --> 00:12:45,480 Speaker 1: is great. But these humans, these humans seem to have 216 00:12:45,880 --> 00:12:49,640 Speaker 1: some really good stuff inside their homes. And a bear 217 00:12:49,679 --> 00:12:53,920 Speaker 1: that kind of realizes that surprisingly adept at popping a 218 00:12:53,960 --> 00:12:58,040 Speaker 1: window or even turning. They call the bear handles their 219 00:12:58,120 --> 00:13:01,480 Speaker 1: French door handles, which just pushed down on and pushed 220 00:13:01,559 --> 00:13:04,480 Speaker 1: the door and it opens quite easily. So bears are 221 00:13:05,400 --> 00:13:08,360 Speaker 1: find it very easy to to get into two people's 222 00:13:08,400 --> 00:13:11,880 Speaker 1: homes and people are sometimes surprised. And it depends on 223 00:13:11,920 --> 00:13:14,199 Speaker 1: the bear. But some bears, like the break in that 224 00:13:14,280 --> 00:13:17,160 Speaker 1: where I went to the aftermath of this break in 225 00:13:17,840 --> 00:13:22,200 Speaker 1: and the bear had gone through a downstairs, through a 226 00:13:22,240 --> 00:13:24,800 Speaker 1: deck leading to a bedroom downstairs and then up to 227 00:13:24,880 --> 00:13:29,040 Speaker 1: the kitchen. Didn't knock anything over. Uh, didn't even leave 228 00:13:29,240 --> 00:13:33,960 Speaker 1: footprints sun bears. Um. The guy who the wildlife invested 229 00:13:34,120 --> 00:13:37,800 Speaker 1: was Colorado Fishing, Game and Fish and Wildlife that he 230 00:13:37,880 --> 00:13:40,400 Speaker 1: was talking about how they they will sometimes reach in, 231 00:13:40,679 --> 00:13:43,200 Speaker 1: like take out a carton of eggs and inside, or 232 00:13:43,400 --> 00:13:45,160 Speaker 1: or take out things that they don't want to put 233 00:13:45,200 --> 00:13:50,800 Speaker 1: them aside. One bear allegedly opened hers she's kiss, opened 234 00:13:50,840 --> 00:13:54,680 Speaker 1: the foil her, she's kiss uh, and and ate that. 235 00:13:55,080 --> 00:13:59,160 Speaker 1: So they're there. Yeah, they there. While they can create, 236 00:13:59,480 --> 00:14:02,080 Speaker 1: you know, awful mess, whether it's on a body or 237 00:14:02,160 --> 00:14:07,640 Speaker 1: in someone's kitchen, sometimes they're surprisingly um precise and laid back. 238 00:14:07,760 --> 00:14:12,000 Speaker 1: It's it's interesting how different their person individual personalities are. 239 00:14:12,760 --> 00:14:15,760 Speaker 1: Was it from uh, the person you were speaking with 240 00:14:15,800 --> 00:14:18,880 Speaker 1: the Colorado Fish and Wildlife that you got that fact about, 241 00:14:19,400 --> 00:14:21,760 Speaker 1: or at least the allegation that some of these bears 242 00:14:21,760 --> 00:14:24,680 Speaker 1: apparently have brand preferences when it comes to ice cream, 243 00:14:24,840 --> 00:14:27,440 Speaker 1: like they really like Hoggin Dawes, but they don't like 244 00:14:27,520 --> 00:14:30,840 Speaker 1: the store brand. Yes, it was it was. It was 245 00:14:30,880 --> 00:14:34,920 Speaker 1: a woman from the neighboring town is it's Snowmass. I 246 00:14:34,960 --> 00:14:38,800 Speaker 1: think the it's a it's a again a mountain resort 247 00:14:39,080 --> 00:14:42,520 Speaker 1: ski and mountain biking resort town. Tina White I believe 248 00:14:42,520 --> 00:14:45,880 Speaker 1: her name was, and she said that the black bears 249 00:14:45,920 --> 00:14:49,360 Speaker 1: in the area they prefer premium brands. They will not 250 00:14:49,560 --> 00:14:52,480 Speaker 1: touch Western Family ice cream, which I guess is like 251 00:14:52,480 --> 00:14:55,320 Speaker 1: a low rent brand that they have in Colorado and 252 00:14:55,320 --> 00:14:59,880 Speaker 1: they're like, no, no, no, thank you. I gotta say 253 00:15:00,160 --> 00:15:02,440 Speaker 1: the parts of that chapter where you were talking about 254 00:15:02,480 --> 00:15:06,040 Speaker 1: the bears getting into the trash, the unsecured trash outside 255 00:15:06,040 --> 00:15:08,680 Speaker 1: of fancy restaurants, that was really making me hungry when 256 00:15:08,680 --> 00:15:10,640 Speaker 1: you were listing all the foods they were stabbing their 257 00:15:10,640 --> 00:15:13,720 Speaker 1: snouts into, so the rotten barata cheese and the and 258 00:15:13,760 --> 00:15:18,800 Speaker 1: the sustainable scuna salmon, and exactly if they were like 259 00:15:19,080 --> 00:15:28,840 Speaker 1: this is some good than let's see. Let's let's go 260 00:15:28,880 --> 00:15:31,200 Speaker 1: a little broader for a second here and just talk 261 00:15:31,240 --> 00:15:34,720 Speaker 1: about the book itself, which again is fuzz when when 262 00:15:34,800 --> 00:15:37,160 Speaker 1: nature breaks the law. I was just wondering, how how 263 00:15:37,160 --> 00:15:39,920 Speaker 1: long have you been planning this particular book, and is 264 00:15:39,960 --> 00:15:42,280 Speaker 1: there is there anything in particular that you can point 265 00:15:42,320 --> 00:15:44,480 Speaker 1: to as being like the inspiration point that led you 266 00:15:44,520 --> 00:15:46,760 Speaker 1: down this road. Oh, I wish I had a great 267 00:15:47,000 --> 00:15:50,720 Speaker 1: origin story because people people often ask about that, and 268 00:15:51,320 --> 00:15:53,960 Speaker 1: um I came to it this one. And it's a 269 00:15:54,000 --> 00:15:58,640 Speaker 1: really kind of circuitous roundabout, not necessarily all that interesting. Half. 270 00:15:59,760 --> 00:16:04,920 Speaker 1: I had originally gotten interested in wildlife crime scene forensics, 271 00:16:04,960 --> 00:16:07,320 Speaker 1: but not when the animals are the perpetrators, but when 272 00:16:07,320 --> 00:16:10,080 Speaker 1: the animals are the victims. Uh So, I was up 273 00:16:10,080 --> 00:16:13,480 Speaker 1: at this forensics lab that the Fish and Wildlife Department has, 274 00:16:13,560 --> 00:16:16,760 Speaker 1: talking to this woman who was an expert in how 275 00:16:16,800 --> 00:16:22,880 Speaker 1: to tell counterfeit versus genuine dried tiger penis, because of 276 00:16:22,880 --> 00:16:26,760 Speaker 1: course it's illegal to traffic in animal endangered animal parts 277 00:16:26,960 --> 00:16:30,280 Speaker 1: and uh, as it turns out, almost always was being 278 00:16:30,320 --> 00:16:33,160 Speaker 1: passed off as tiger penis is deer or horse or cow, 279 00:16:33,240 --> 00:16:36,080 Speaker 1: partly because those are easier to come by and they're 280 00:16:36,120 --> 00:16:38,640 Speaker 1: bigger and more impressive. And if you're trying to quote 281 00:16:38,680 --> 00:16:44,960 Speaker 1: unquote cure erectile dispon or make yourself more virile, a 282 00:16:45,000 --> 00:16:49,160 Speaker 1: little tiger penis doesn't. It doesn't have the right optics. Anyway, 283 00:16:49,560 --> 00:16:51,320 Speaker 1: that's a long winded way of saying I was up 284 00:16:51,320 --> 00:16:56,720 Speaker 1: at this lab the Fish and Wildlife National Wildlife Forensics Laboratory, 285 00:16:57,120 --> 00:16:59,280 Speaker 1: and I thought, well, this, this could be an interesting area. 286 00:16:59,320 --> 00:17:01,280 Speaker 1: But as it turns out, I was not going to 287 00:17:01,360 --> 00:17:04,080 Speaker 1: be able to follow any open investigations. I wasn't to 288 00:17:04,160 --> 00:17:06,320 Speaker 1: be able to tag along with investigators and do the 289 00:17:06,400 --> 00:17:08,720 Speaker 1: kind of thing I really have to do for my 290 00:17:08,800 --> 00:17:12,119 Speaker 1: books to make it interesting for myself hopefully for the reader. 291 00:17:12,680 --> 00:17:15,000 Speaker 1: So that was a dead end, and I kind of 292 00:17:15,200 --> 00:17:17,679 Speaker 1: various other things happened. But I eventually thought, well, what 293 00:17:17,720 --> 00:17:20,320 Speaker 1: if I turned it around, and what if the animals 294 00:17:20,320 --> 00:17:23,200 Speaker 1: were the perpetrators and the people are the victims, and 295 00:17:23,520 --> 00:17:27,080 Speaker 1: and you know what, what would what's to be done there? 296 00:17:27,280 --> 00:17:29,760 Speaker 1: And I learned that there's in fact a whole science 297 00:17:30,160 --> 00:17:34,240 Speaker 1: that's devoted to this, called human wildlife conflict and the 298 00:17:34,280 --> 00:17:38,080 Speaker 1: science of human wildlife conflict, and there's conventions and scientists 299 00:17:38,119 --> 00:17:40,679 Speaker 1: and researchers. So I thought that could be an interesting 300 00:17:40,720 --> 00:17:45,160 Speaker 1: world to step into. So it was a circuitous path, 301 00:17:45,240 --> 00:17:48,760 Speaker 1: it wasn't. It wasn't. I have not been attacked, or 302 00:17:48,840 --> 00:17:53,240 Speaker 1: not until the book, by any animals. You were you 303 00:17:53,280 --> 00:17:56,160 Speaker 1: were robbed by a monkey, I was mugged by mcc Yes, 304 00:17:56,280 --> 00:17:58,920 Speaker 1: I was. So when I when I picked up the 305 00:17:58,920 --> 00:18:00,960 Speaker 1: book and was getting into it. You know, I expected 306 00:18:01,440 --> 00:18:03,760 Speaker 1: a lot of it, of course, to be happening in 307 00:18:03,800 --> 00:18:07,119 Speaker 1: a contemporary setting and dealing with our modern world, thinking like, okay, 308 00:18:07,119 --> 00:18:09,320 Speaker 1: this is where the legal system has led, and this 309 00:18:09,400 --> 00:18:11,840 Speaker 1: is where you know, the growth of human populations and 310 00:18:11,880 --> 00:18:15,320 Speaker 1: expansion has led. So I was really surprised and interested 311 00:18:15,520 --> 00:18:18,119 Speaker 1: when you mentioned a book from nineteen o six, The 312 00:18:18,119 --> 00:18:22,080 Speaker 1: Criminal Prosecution and Punishment of Animals. But I believe E. P. Evans, 313 00:18:22,640 --> 00:18:24,800 Speaker 1: can you talk a little bit about this? Sure, That's 314 00:18:24,800 --> 00:18:28,560 Speaker 1: something I came upon very early on and also pushed 315 00:18:28,560 --> 00:18:32,040 Speaker 1: me towards this topic. A bizarre book. This is a 316 00:18:32,080 --> 00:18:37,280 Speaker 1: book detailing the things that human societies used to do 317 00:18:37,560 --> 00:18:42,160 Speaker 1: to deal with animals and insects that were committing crimes 318 00:18:42,240 --> 00:18:46,119 Speaker 1: against them, crimes in the sense of the following our laws, 319 00:18:46,160 --> 00:18:50,360 Speaker 1: you know, stealing or or committing manslaughter, and what used 320 00:18:50,400 --> 00:18:55,600 Speaker 1: to happen is that they were uh, criminally prosecuted. The 321 00:18:55,640 --> 00:18:57,800 Speaker 1: example I've given the book is this case. It's from 322 00:18:57,800 --> 00:19:01,520 Speaker 1: sixteen fifty nine and Northern le A province in northern Italy, 323 00:19:02,000 --> 00:19:08,240 Speaker 1: and um caterpillars were eating a lot of the crops, lettuces, 324 00:19:08,280 --> 00:19:11,119 Speaker 1: whatever they were and these caterpillars will do they're hungry. 325 00:19:11,160 --> 00:19:13,919 Speaker 1: They've got, you know, bulk up for their little transition. 326 00:19:14,560 --> 00:19:19,840 Speaker 1: And so the community that the um whoever, the magistrate 327 00:19:19,920 --> 00:19:23,320 Speaker 1: or the head person was posted summons legal summons on 328 00:19:23,359 --> 00:19:26,879 Speaker 1: the trees in the area requesting that the caterpillars appear 329 00:19:26,920 --> 00:19:30,080 Speaker 1: in court on a set date, at which point, the 330 00:19:30,119 --> 00:19:35,199 Speaker 1: summons said they would be assigned legal representation and a 331 00:19:35,280 --> 00:19:38,919 Speaker 1: trial would ensue. And of course the caterpillars did not 332 00:19:38,960 --> 00:19:42,639 Speaker 1: appear at court, but by that time had pupated, weren't 333 00:19:42,640 --> 00:19:46,320 Speaker 1: causing any problems anymore. But but that's this book. It's 334 00:19:46,400 --> 00:19:51,640 Speaker 1: like four hundred pages of well documented situations and cases. 335 00:19:51,640 --> 00:19:54,879 Speaker 1: There were, you know, livestock, some of it pigs, pigs 336 00:19:55,000 --> 00:19:58,680 Speaker 1: killing small children. Not don't care about that happening much today, 337 00:19:58,760 --> 00:20:01,840 Speaker 1: but apparently used to have, and with some frequency, the 338 00:20:01,880 --> 00:20:07,240 Speaker 1: pigs being tried, executed, sometimes imprisoned. And I thought this, 339 00:20:07,359 --> 00:20:09,639 Speaker 1: I almost thought this was a hoax because it was 340 00:20:09,680 --> 00:20:13,040 Speaker 1: so so bizarre. But the bat the appendix as a 341 00:20:13,119 --> 00:20:16,639 Speaker 1: number of these documents and UM in some detail in 342 00:20:16,720 --> 00:20:20,680 Speaker 1: Latin a lot of the times sometimes French. Uh, And 343 00:20:20,720 --> 00:20:22,199 Speaker 1: so it was it was real, and it was not 344 00:20:22,280 --> 00:20:26,280 Speaker 1: that there were just simple minded people. It was the way, 345 00:20:26,320 --> 00:20:28,399 Speaker 1: the way the author explained it. It was a way 346 00:20:28,800 --> 00:20:34,080 Speaker 1: to um display the breadth of your powers as as 347 00:20:34,119 --> 00:20:36,520 Speaker 1: a legal entity or as a leader. You know, even 348 00:20:36,600 --> 00:20:39,440 Speaker 1: nature must follow my rules and you will be punished. 349 00:20:39,440 --> 00:20:42,000 Speaker 1: So it's kind of a display, kind of ludicrous, but 350 00:20:42,119 --> 00:20:48,200 Speaker 1: a display of dominion and power and I control all so. 351 00:20:48,320 --> 00:20:52,639 Speaker 1: But but the the details were quite quite amazing. I mean, 352 00:20:52,720 --> 00:20:56,760 Speaker 1: people ritz w r I t rits of ejectment that 353 00:20:56,800 --> 00:20:59,560 Speaker 1: were stuffed into the burrows of rats like you must 354 00:20:59,600 --> 00:21:04,720 Speaker 1: leave them. They get the premises under genalty of law. Honestly, 355 00:21:05,440 --> 00:21:08,680 Speaker 1: legal system not the best approach of the animals. They 356 00:21:08,680 --> 00:21:11,879 Speaker 1: don't read, they don't care. They just want a place 357 00:21:11,920 --> 00:21:15,119 Speaker 1: to have a nest or get something to eat, and 358 00:21:15,240 --> 00:21:17,320 Speaker 1: we offer that and they take advantage of it. These 359 00:21:17,320 --> 00:21:20,719 Speaker 1: are crimes of opportunity for the most part. Anyway, that 360 00:21:20,720 --> 00:21:24,040 Speaker 1: that book is a fascinating I thought particularly easy to 361 00:21:24,080 --> 00:21:27,960 Speaker 1: get through, but a fascinating read. Nineteen o six when 362 00:21:27,960 --> 00:21:30,320 Speaker 1: that book was published, do you think these kinds of 363 00:21:30,400 --> 00:21:34,520 Speaker 1: legal actions were at all um based on a certain 364 00:21:34,560 --> 00:21:39,000 Speaker 1: theological understanding of law. I don't recall any mention of 365 00:21:39,040 --> 00:21:41,719 Speaker 1: this in the book. But you know, was there an 366 00:21:41,720 --> 00:21:45,360 Speaker 1: idea that maybe if you issued a certain kind of legitimate, 367 00:21:45,960 --> 00:21:49,840 Speaker 1: uh sanctioned by the court, that somehow God would enforce 368 00:21:49,880 --> 00:21:52,760 Speaker 1: it or something. Yeah, yes, there there definitely was a 369 00:21:52,800 --> 00:21:56,480 Speaker 1: religious element. There was this sense that this belief that 370 00:21:56,560 --> 00:22:00,480 Speaker 1: these plagues and these um actions of these animals were 371 00:22:00,520 --> 00:22:04,639 Speaker 1: being or a punishment on the people themselves, that that 372 00:22:04,840 --> 00:22:08,600 Speaker 1: God was punishing us by sending these creatures. So yeah, 373 00:22:08,600 --> 00:22:10,919 Speaker 1: that was that was tied into it. There was a 374 00:22:10,920 --> 00:22:15,000 Speaker 1: belief that we the community are being punished and so 375 00:22:15,160 --> 00:22:17,560 Speaker 1: you know, we will I mean, I don't know that's 376 00:22:17,560 --> 00:22:20,880 Speaker 1: exactly what you're asking, but that was that was definitely 377 00:22:21,680 --> 00:22:26,080 Speaker 1: part of the part of the belief. But but on 378 00:22:26,119 --> 00:22:29,760 Speaker 1: the subject of theology and religion, you do, and later 379 00:22:29,760 --> 00:22:32,480 Speaker 1: in the book get into that a bit, talking to 380 00:22:32,800 --> 00:22:36,879 Speaker 1: individuals about like what is what is one's religious responsibility 381 00:22:36,920 --> 00:22:40,600 Speaker 1: towards these animals that we may think of as vermin. Well, yeah, 382 00:22:40,600 --> 00:22:43,479 Speaker 1: I spent some time in India, which has quite a 383 00:22:43,520 --> 00:22:48,720 Speaker 1: different attitude and relationship attitude toward animals and relationship with them, 384 00:22:48,760 --> 00:22:51,840 Speaker 1: partly because a lot a lot of the deities and 385 00:22:51,920 --> 00:22:55,959 Speaker 1: Hinduism are animals, where there you know, they appear as 386 00:22:56,000 --> 00:22:59,080 Speaker 1: animals or the spouse as an animal, or they ride 387 00:22:59,080 --> 00:23:01,760 Speaker 1: around on an well they themselves like Onunt him on 388 00:23:02,480 --> 00:23:05,800 Speaker 1: is you know, the monkey head and Gunnash the elephant 389 00:23:06,040 --> 00:23:11,040 Speaker 1: cows are considered sacred. So it's a when when those 390 00:23:11,080 --> 00:23:15,040 Speaker 1: animals start to cause problems. Um, people are not as 391 00:23:15,119 --> 00:23:19,600 Speaker 1: quick to rush in to calling the authorities to exterminate 392 00:23:19,640 --> 00:23:23,600 Speaker 1: them or call them. Uh, there's a there's a stigma 393 00:23:23,640 --> 00:23:26,480 Speaker 1: attached to that. You know, New Delhi the tremendous problems 394 00:23:26,480 --> 00:23:30,200 Speaker 1: of macaques, troops of not just not just Deli, all 395 00:23:30,240 --> 00:23:34,400 Speaker 1: over cities in northern India. Macaques cause a lot of problems. 396 00:23:34,480 --> 00:23:37,159 Speaker 1: And uh, one of the things that's done in Na 397 00:23:37,200 --> 00:23:39,840 Speaker 1: Delhi is to catch them and transport them down to 398 00:23:39,920 --> 00:23:43,120 Speaker 1: this large sanctuary in the southern part of the city. 399 00:23:43,160 --> 00:23:45,440 Speaker 1: It used to be a mine and now it's reallywilded 400 00:23:45,520 --> 00:23:47,840 Speaker 1: and is a place where the maccaques are let loose. 401 00:23:48,080 --> 00:23:52,000 Speaker 1: And it's very very hard for the authorities to hire 402 00:23:52,680 --> 00:23:54,840 Speaker 1: monkey catchers. I mean, that's is this just you would 403 00:23:54,920 --> 00:23:57,680 Speaker 1: you would be looked at a scance if you were 404 00:23:57,720 --> 00:24:01,600 Speaker 1: somebody who was trapping and man handling macaques because of 405 00:24:01,640 --> 00:24:05,280 Speaker 1: the religious significance of these animals. The other thing going 406 00:24:05,320 --> 00:24:09,200 Speaker 1: on while their pests and nuisances to people that people 407 00:24:09,240 --> 00:24:12,240 Speaker 1: are also they gather at temples, these monkeys because they 408 00:24:12,280 --> 00:24:17,040 Speaker 1: know people will and offerings. They will not only inside 409 00:24:17,040 --> 00:24:20,560 Speaker 1: the temple or you know, the more conventional um offerings 410 00:24:20,560 --> 00:24:22,639 Speaker 1: are made, but when they go outside, they see the 411 00:24:22,720 --> 00:24:24,879 Speaker 1: monkey and they will give the monkey, you know, fruit 412 00:24:25,040 --> 00:24:28,680 Speaker 1: or little packets of soda or whatever. Then they'll they'll 413 00:24:28,920 --> 00:24:31,960 Speaker 1: So they're they're both encouraging the animal and then also 414 00:24:32,520 --> 00:24:35,560 Speaker 1: being harassed by it. So it's a sticky problem there. 415 00:24:36,119 --> 00:24:38,920 Speaker 1: The reli the religious the religious elements make it more 416 00:24:39,040 --> 00:24:43,040 Speaker 1: complicated when when it comes to finding some sort of solution. 417 00:24:43,440 --> 00:24:45,680 Speaker 1: There are several examples in the book where you discuss 418 00:24:46,359 --> 00:24:49,840 Speaker 1: animals that in some way interact or have conflict with, 419 00:24:50,040 --> 00:24:53,720 Speaker 1: or live alongside humans, and how there might be a 420 00:24:53,800 --> 00:24:58,680 Speaker 1: sort of emergent evolutionary pressure on animals that know how 421 00:24:58,680 --> 00:25:01,680 Speaker 1: to exploit human and just like just to the right 422 00:25:01,720 --> 00:25:05,480 Speaker 1: extent without overstepping and then being being dealt with violently. 423 00:25:05,600 --> 00:25:08,359 Speaker 1: Like you talked about this in the chapter with the bears, 424 00:25:08,359 --> 00:25:10,640 Speaker 1: which I thought was really interesting, how there there could 425 00:25:10,640 --> 00:25:13,240 Speaker 1: be a kind of evolutionary advantage for what are called 426 00:25:13,280 --> 00:25:15,840 Speaker 1: the fat Albert bears and bears that are you know, 427 00:25:15,920 --> 00:25:17,639 Speaker 1: get in and get a lot of calories out of 428 00:25:17,680 --> 00:25:20,680 Speaker 1: your fridge, but are less likely to have a scary 429 00:25:20,720 --> 00:25:25,760 Speaker 1: conflict with a person or less likely to damage the house. Right, Yeah, 430 00:25:25,840 --> 00:25:28,479 Speaker 1: the the fat fat Albert was a bear that, uh 431 00:25:29,000 --> 00:25:32,120 Speaker 1: was quite good at breaking into people's cabins and homes. 432 00:25:32,560 --> 00:25:37,040 Speaker 1: This is again Colorado. But people would marvel afterwards, like, 433 00:25:37,760 --> 00:25:41,080 Speaker 1: came in here, didn't damage anything. Maybe we're kind of impressed, 434 00:25:41,400 --> 00:25:44,399 Speaker 1: you know, okay, rated the fridge took some stuff, didn't 435 00:25:44,400 --> 00:25:47,680 Speaker 1: break anything. So so not as likely to be angry 436 00:25:47,760 --> 00:25:50,560 Speaker 1: or to perceive this creature as a threat and to 437 00:25:50,680 --> 00:25:55,679 Speaker 1: call uh Colorado Parks and Wildlife and and you know, 438 00:25:55,720 --> 00:25:59,240 Speaker 1: request something be done about the bear. So so then 439 00:25:59,280 --> 00:26:02,280 Speaker 1: you know, the more at Alberts, the more these bears 440 00:26:02,320 --> 00:26:06,479 Speaker 1: persist and survived to breeding age, the more you're going 441 00:26:06,520 --> 00:26:08,960 Speaker 1: to sort of see more hopefully more fat Alberts. Because 442 00:26:08,960 --> 00:26:12,200 Speaker 1: the bears that are very aggressive, uh, that are aggressive 443 00:26:12,200 --> 00:26:14,199 Speaker 1: toward people or their pets, and that break in and 444 00:26:14,240 --> 00:26:17,440 Speaker 1: cause a lot of damage. They to use the phrasing 445 00:26:17,440 --> 00:26:19,360 Speaker 1: of the person I was talking to, they're gonna get 446 00:26:19,359 --> 00:26:22,000 Speaker 1: whacked fast like some people are going to be feel threatened, 447 00:26:22,040 --> 00:26:24,520 Speaker 1: They're going to complain, They're going to call the agency. 448 00:26:25,080 --> 00:26:27,600 Speaker 1: Agency is going to come out set a big covert 449 00:26:27,640 --> 00:26:33,200 Speaker 1: trap and that animal will be destroyed. So uh, possibly, yes, possibly, 450 00:26:33,800 --> 00:26:35,720 Speaker 1: you know, the fat alberts will be seeing more and 451 00:26:35,760 --> 00:26:37,680 Speaker 1: more of them and fewer and fewer of the aggressive 452 00:26:37,720 --> 00:26:42,880 Speaker 1: ones and that could be a good thing over time. Now, 453 00:26:42,920 --> 00:26:45,919 Speaker 1: in your your section, in your in Fuzz dealing with 454 00:26:45,960 --> 00:26:50,320 Speaker 1: animals on the highways, you discuss self driving car solutions 455 00:26:50,400 --> 00:26:54,080 Speaker 1: to animal strikes. Uh. And I found this very fascinating 456 00:26:54,080 --> 00:26:57,960 Speaker 1: as well. How does it seem that self driving cars 457 00:26:58,080 --> 00:27:00,600 Speaker 1: are likely to react to animal on the road in 458 00:27:00,600 --> 00:27:05,800 Speaker 1: the future. Well, right now, there's something called a large 459 00:27:05,840 --> 00:27:11,080 Speaker 1: animal detection system. So an animal that kin a long legged, 460 00:27:11,119 --> 00:27:15,639 Speaker 1: tall animal. Uh, anything that comes into the path, the 461 00:27:16,119 --> 00:27:19,920 Speaker 1: beam of the detector that fits that visual profile will 462 00:27:19,960 --> 00:27:23,280 Speaker 1: cause the car to stop that I mean, the brakes 463 00:27:23,320 --> 00:27:26,080 Speaker 1: will be applied. H And the reason is a large 464 00:27:26,119 --> 00:27:30,280 Speaker 1: animal detection system. What they're hoping to prevent is collisions 465 00:27:30,280 --> 00:27:33,000 Speaker 1: with a moose and elk or an elk, because those 466 00:27:33,040 --> 00:27:36,800 Speaker 1: animals are tall enough that if the car strikes them, 467 00:27:36,840 --> 00:27:39,440 Speaker 1: it strikes them in the legs, and the entire torso 468 00:27:39,520 --> 00:27:43,639 Speaker 1: and head and antler's cart whales back over the car. 469 00:27:43,720 --> 00:27:46,240 Speaker 1: And these animals are tall enough that that that they 470 00:27:46,320 --> 00:27:50,000 Speaker 1: come through the windshield and land on the driver and 471 00:27:50,200 --> 00:27:54,399 Speaker 1: or the passenger. And um the result is often a 472 00:27:54,480 --> 00:27:59,679 Speaker 1: broken neck, death or or or paralysis. So um, it's 473 00:27:59,760 --> 00:28:02,399 Speaker 1: quite different than just hitting a deer. On the deers, 474 00:28:02,440 --> 00:28:03,960 Speaker 1: I mean, there's gonna be a lot of damage to 475 00:28:04,000 --> 00:28:07,600 Speaker 1: the car and to the deer, but often the person's 476 00:28:07,840 --> 00:28:10,679 Speaker 1: the person survives without serious injury, unless, of course they 477 00:28:10,760 --> 00:28:13,640 Speaker 1: swerved and hit a tree and went off the road. Um. 478 00:28:13,760 --> 00:28:17,040 Speaker 1: So a self driving car, uh, the ones that I 479 00:28:17,119 --> 00:28:19,439 Speaker 1: heard about I called, UM. I think I've talked to 480 00:28:19,480 --> 00:28:23,040 Speaker 1: someone at Volvo Volvo and SB because there's they're sold 481 00:28:23,040 --> 00:28:27,960 Speaker 1: a lot in northern regions. Are have concerns about moose 482 00:28:28,040 --> 00:28:30,800 Speaker 1: hitting moose because there's a lot of fatalities. But when 483 00:28:30,800 --> 00:28:36,200 Speaker 1: it I got curious about small animals, like how does 484 00:28:36,280 --> 00:28:40,080 Speaker 1: the car decide when it should just plow forward because 485 00:28:40,080 --> 00:28:43,120 Speaker 1: it's safer to hit a pet than it is to swerve, 486 00:28:43,760 --> 00:28:46,960 Speaker 1: or how you know how Uh if you stop short 487 00:28:47,040 --> 00:28:50,600 Speaker 1: for a small animal, then the car behind now smashes 488 00:28:50,640 --> 00:28:52,880 Speaker 1: into you. How do you how does a car make 489 00:28:52,920 --> 00:28:55,479 Speaker 1: those decisions? You know, at what point is it's safer 490 00:28:55,520 --> 00:28:58,040 Speaker 1: for the human for the driver to just go ahead 491 00:28:58,040 --> 00:29:01,320 Speaker 1: and hit the raccoon um, instead of serving to save 492 00:29:01,360 --> 00:29:04,960 Speaker 1: the animal's life. And I tried to get an interview 493 00:29:05,440 --> 00:29:10,200 Speaker 1: with someone at Weymo UH and a couple of other places, 494 00:29:10,400 --> 00:29:12,920 Speaker 1: and they don't They didn't want to talk about that. 495 00:29:13,400 --> 00:29:15,920 Speaker 1: They don't want to They didn't want to engage on 496 00:29:15,960 --> 00:29:18,640 Speaker 1: the topic, which leaves me to think they haven't quite 497 00:29:18,640 --> 00:29:21,600 Speaker 1: worked out worked out what to do, because it's it's 498 00:29:21,640 --> 00:29:25,760 Speaker 1: it's situation by situation, UM. The worst thing to do 499 00:29:25,800 --> 00:29:27,600 Speaker 1: in the case of a small animal on the road 500 00:29:27,960 --> 00:29:29,560 Speaker 1: with you know, if there's trees and things on the 501 00:29:29,600 --> 00:29:33,000 Speaker 1: side of the road, you know, to swerve sharply um 502 00:29:33,120 --> 00:29:35,080 Speaker 1: and and put yourself at risk of going off the 503 00:29:35,160 --> 00:29:38,960 Speaker 1: road and hitting a tree or a rock or a barrier. Um. 504 00:29:39,480 --> 00:29:41,160 Speaker 1: That that's not what you want to do. But but 505 00:29:41,200 --> 00:29:43,520 Speaker 1: it's also to say, well, our cars will just go 506 00:29:43,600 --> 00:29:46,720 Speaker 1: ahead and plow into your dog or cat or recoon 507 00:29:48,000 --> 00:29:50,880 Speaker 1: to save your life. We will just be just plowing 508 00:29:50,960 --> 00:29:53,640 Speaker 1: right on through without even breaking or even blinking an eye. 509 00:29:53,680 --> 00:29:55,640 Speaker 1: So that you know, that the optics of that are 510 00:29:55,720 --> 00:29:58,720 Speaker 1: kind of awful too. So that's a question that I 511 00:29:58,800 --> 00:30:01,280 Speaker 1: have that I that as far as I know, hasn't 512 00:30:01,360 --> 00:30:04,560 Speaker 1: really been answered. I think that the priorities right now 513 00:30:04,600 --> 00:30:07,440 Speaker 1: and they've got so many other things to figure out 514 00:30:08,080 --> 00:30:10,520 Speaker 1: before they get down to what do we do about 515 00:30:10,600 --> 00:30:14,280 Speaker 1: someone's beagle? Yeah, I mean it reminds me of stuff 516 00:30:14,280 --> 00:30:18,360 Speaker 1: I've read recently just related in general to self driving cars. 517 00:30:18,400 --> 00:30:21,120 Speaker 1: They're just about all the things we do sometimes just 518 00:30:21,200 --> 00:30:24,960 Speaker 1: nonsensical risks that we cake be a you know, a 519 00:30:25,040 --> 00:30:27,760 Speaker 1: risky left hand turn, or the fact that yet that, 520 00:30:27,920 --> 00:30:30,240 Speaker 1: like I'm driving to pick my kid up from school, 521 00:30:30,280 --> 00:30:33,840 Speaker 1: I might swerve around the chipmunk in the road, and 522 00:30:34,160 --> 00:30:36,760 Speaker 1: it was in retrospect it was dangerous, But also in retrospect, 523 00:30:36,800 --> 00:30:39,280 Speaker 1: I'm not sure I would have done anything else, you know, 524 00:30:39,720 --> 00:30:43,160 Speaker 1: And how do you translate or improve upon that that 525 00:30:43,240 --> 00:30:46,440 Speaker 1: kind of decision making and the machine right, and how 526 00:30:46,520 --> 00:30:50,880 Speaker 1: do you tell a small animal from a kid on 527 00:30:50,960 --> 00:30:52,760 Speaker 1: a small bicycle, And how do you i mean, those 528 00:30:52,840 --> 00:30:56,480 Speaker 1: those fine grain distinctions, how do you trust the car 529 00:30:56,680 --> 00:30:59,520 Speaker 1: to make those? It's it's really it is really tricky 530 00:31:00,040 --> 00:31:04,360 Speaker 1: on um. Yeah, and even you know, I have a 531 00:31:04,360 --> 00:31:06,680 Speaker 1: a new issue, a new edition of Stiff coming out 532 00:31:06,680 --> 00:31:08,440 Speaker 1: and with an epilogue where I went back and I 533 00:31:08,440 --> 00:31:11,040 Speaker 1: talked to me like what's new in these topics, And 534 00:31:11,080 --> 00:31:14,640 Speaker 1: one of the things that came up was passenger safety 535 00:31:14,680 --> 00:31:17,080 Speaker 1: in a self driving car. If you you don't need 536 00:31:17,120 --> 00:31:19,560 Speaker 1: to be at the steering wheel in a set position, 537 00:31:19,960 --> 00:31:23,600 Speaker 1: if you can now sit sideways or or you know not, 538 00:31:24,280 --> 00:31:26,760 Speaker 1: you're not confined as you were as a driver. Well, 539 00:31:26,800 --> 00:31:29,800 Speaker 1: now in an impact, how do you keep that person safe? 540 00:31:29,800 --> 00:31:31,840 Speaker 1: Where do you put the air bags? If somebody people 541 00:31:31,880 --> 00:31:34,120 Speaker 1: can kind of sit across from each other and you know, 542 00:31:34,160 --> 00:31:36,280 Speaker 1: you freed people up in the interior of the car, 543 00:31:36,320 --> 00:31:38,560 Speaker 1: how do you keep them How do you keep them safe? 544 00:31:38,640 --> 00:31:40,280 Speaker 1: Where does the airbag go? How do you you know, 545 00:31:40,320 --> 00:31:43,040 Speaker 1: how do you configure the seatbelt? So all of that 546 00:31:43,080 --> 00:31:45,320 Speaker 1: has to be a rethought and probably, you know, the 547 00:31:45,680 --> 00:31:48,520 Speaker 1: small animal portion of it will be pretty far down 548 00:31:48,520 --> 00:31:50,840 Speaker 1: the list. Is there? Is there a date for the 549 00:31:50,840 --> 00:31:54,920 Speaker 1: new edition of Stiff? Yeah, this this week, I think that, 550 00:31:55,080 --> 00:31:57,440 Speaker 1: I think August thirty one, the new edition with a 551 00:31:57,480 --> 00:32:01,560 Speaker 1: snazzy new cover comes out. Yeah, this is of course 552 00:32:01,600 --> 00:32:04,680 Speaker 1: your your your first big book that that that kicked 553 00:32:04,680 --> 00:32:07,360 Speaker 1: it off. Yeah. My first book, kind of Stiff, came 554 00:32:07,360 --> 00:32:11,320 Speaker 1: out in three I think it was. Yeah, Yeah, yeah, 555 00:32:11,320 --> 00:32:12,960 Speaker 1: I've I've read that, I've read I've read all of 556 00:32:13,000 --> 00:32:17,920 Speaker 1: your books that have come out. They're always always thank you, jeez. 557 00:32:19,480 --> 00:32:29,120 Speaker 1: I'd love to hear that. So one thing I found 558 00:32:29,160 --> 00:32:33,040 Speaker 1: interesting about um the sections of the book involving humans 559 00:32:33,040 --> 00:32:37,040 Speaker 1: and animals that come into violent conflict UM, is that, well, 560 00:32:37,080 --> 00:32:39,360 Speaker 1: you so you have a chapter about leopards in India 561 00:32:39,560 --> 00:32:45,120 Speaker 1: that intentionally stalk humans as prey. Repeatedly they become habituated 562 00:32:45,520 --> 00:32:48,720 Speaker 1: to this, and you got me wondering, what are some 563 00:32:48,800 --> 00:32:53,320 Speaker 1: of the broad truths about the difference between animals that 564 00:32:53,400 --> 00:32:57,160 Speaker 1: sort of stumble into hapless encounters with humans that might 565 00:32:57,200 --> 00:33:03,120 Speaker 1: turn violent, versus animals deliberately stalk humans as prey. Yeah, 566 00:33:03,200 --> 00:33:07,920 Speaker 1: the broad truth is that it's very uncommon for an 567 00:33:07,920 --> 00:33:12,040 Speaker 1: animal that can easily attack and kill a human to 568 00:33:12,320 --> 00:33:15,520 Speaker 1: do that. We are not really on the typically, we 569 00:33:15,560 --> 00:33:18,880 Speaker 1: are not on the menu. Something has to change. And 570 00:33:19,120 --> 00:33:22,400 Speaker 1: in the Middle Himalaya, where I was in India, a 571 00:33:22,480 --> 00:33:26,640 Speaker 1: couple of things happened. One the theory that Jim Corbett, 572 00:33:26,680 --> 00:33:29,920 Speaker 1: who was brought into hunt down some of these kind 573 00:33:29,920 --> 00:33:34,320 Speaker 1: of famous man eaters, as he called them. His theory 574 00:33:34,360 --> 00:33:38,800 Speaker 1: was that during the pandemic of nineteen seventeen, there were 575 00:33:38,800 --> 00:33:44,040 Speaker 1: so many people dying that the traditional ritual of you know, 576 00:33:44,080 --> 00:33:46,800 Speaker 1: taking the body to the river and building a pyre, 577 00:33:46,880 --> 00:33:50,720 Speaker 1: and you know that wasn't happening, and they would, um 578 00:33:51,080 --> 00:33:53,640 Speaker 1: it came up with a more expedient ritual, which is 579 00:33:53,680 --> 00:33:56,600 Speaker 1: to put a hot coal in the mouth and send 580 00:33:56,640 --> 00:33:59,200 Speaker 1: the body off down the hill towards the river, not 581 00:33:59,280 --> 00:34:02,200 Speaker 1: to actually the track and do the whole ritual. And 582 00:34:02,240 --> 00:34:04,120 Speaker 1: so there were a lot of bodies that were now 583 00:34:05,120 --> 00:34:09,640 Speaker 1: available and leopard will scavenge. And the US belief was 584 00:34:09,680 --> 00:34:12,880 Speaker 1: that they developed a taste for human meat that way, 585 00:34:13,040 --> 00:34:17,239 Speaker 1: and that they then went on to incorporate human meat 586 00:34:17,280 --> 00:34:21,480 Speaker 1: into their diet going forward. Um, that's a that's a 587 00:34:21,520 --> 00:34:25,160 Speaker 1: theory that may well be true. Um. The theory of 588 00:34:25,160 --> 00:34:28,920 Speaker 1: the researcher that I traveled with was had to do 589 00:34:29,000 --> 00:34:30,720 Speaker 1: with what's going on in that part of the world, 590 00:34:30,719 --> 00:34:33,440 Speaker 1: which is a lot of farming communities. Um, the men 591 00:34:33,600 --> 00:34:36,560 Speaker 1: have given up farming and gone to look for work 592 00:34:36,600 --> 00:34:39,960 Speaker 1: in the cities, and so there's a lot of rewilding land. 593 00:34:40,120 --> 00:34:42,520 Speaker 1: It's it's occupied by people. Are a lot of you know, 594 00:34:42,760 --> 00:34:46,399 Speaker 1: women and children left behind there. But there's cover now 595 00:34:46,440 --> 00:34:48,400 Speaker 1: for and there's a lot of brush around homes and 596 00:34:48,560 --> 00:34:52,520 Speaker 1: communities and which leopards need to hunt. They will sneak 597 00:34:52,640 --> 00:34:55,160 Speaker 1: up and then you know, cover the last distance in 598 00:34:55,200 --> 00:34:57,959 Speaker 1: a burst of speed and a pounds. So they tend 599 00:34:58,000 --> 00:35:02,520 Speaker 1: to need to have of earth. Also, livestock there isn't 600 00:35:02,520 --> 00:35:05,000 Speaker 1: being as well tended, so it's kind of be it 601 00:35:05,040 --> 00:35:08,359 Speaker 1: falls prey to the leopards and the people, the people 602 00:35:08,360 --> 00:35:11,319 Speaker 1: who are watching the livestocks. Sometimes there kids and uh 603 00:35:12,840 --> 00:35:16,600 Speaker 1: of the individuals killed by leopards in that region in 604 00:35:16,680 --> 00:35:20,920 Speaker 1: this once this researcher study were kids under ten. Uh, 605 00:35:21,040 --> 00:35:25,400 Speaker 1: So there's opportunities that weren't there for for animals that 606 00:35:25,520 --> 00:35:30,400 Speaker 1: hunt and and and sadly a human or a child 607 00:35:30,800 --> 00:35:34,120 Speaker 1: there or the or people's pets. They're they're easier to 608 00:35:34,200 --> 00:35:37,359 Speaker 1: catch than a deer or a wild pig. So part 609 00:35:37,360 --> 00:35:41,400 Speaker 1: of it maybe leopards just realizing this is an easy dinner. 610 00:35:41,880 --> 00:35:44,840 Speaker 1: It seems like a lot of these uh, these stories 611 00:35:45,080 --> 00:35:50,640 Speaker 1: in some way involve um rapid changes or modification to 612 00:35:50,760 --> 00:35:56,000 Speaker 1: the landscape done by humans. Yeah, yeah, it does. Yeah 613 00:35:56,040 --> 00:36:01,000 Speaker 1: that the situation there with elephants againssing to me anyway, 614 00:36:01,120 --> 00:36:05,720 Speaker 1: number of deaths five deaths a year caused by human 615 00:36:05,760 --> 00:36:09,400 Speaker 1: deaths caused by elephants UM. And what's happening there is 616 00:36:10,160 --> 00:36:12,920 Speaker 1: there's there's this elephant corridor as it's called. The elephants 617 00:36:12,920 --> 00:36:16,239 Speaker 1: tend to move along this path looking for food. UM. 618 00:36:16,280 --> 00:36:20,000 Speaker 1: It's across northern India to the border with Nepal, and 619 00:36:20,480 --> 00:36:23,880 Speaker 1: these regions are seeing an influx of refugees and also 620 00:36:24,640 --> 00:36:28,000 Speaker 1: Terry has felt several establishments. There's roads coming through and 621 00:36:28,040 --> 00:36:31,640 Speaker 1: the elephants are getting this is the term pocketed, stuck 622 00:36:32,120 --> 00:36:35,480 Speaker 1: in little pockets, and elephants eat a lot they travel 623 00:36:35,520 --> 00:36:41,160 Speaker 1: and sizable herds and they are turning to the farmers 624 00:36:41,239 --> 00:36:43,719 Speaker 1: crops for food because they don't have enough food and 625 00:36:43,760 --> 00:36:46,600 Speaker 1: they're stuck. They can't keep moving on the way they 626 00:36:46,680 --> 00:36:49,520 Speaker 1: used to. And so then that's when you have conflict 627 00:36:49,560 --> 00:36:54,040 Speaker 1: because you have these um villagers who they're they're depending 628 00:36:54,080 --> 00:36:59,520 Speaker 1: on this food to survive. You know, it's it's subsistence farming. 629 00:36:59,600 --> 00:37:01,880 Speaker 1: And so you know, a troop of elephants that comes through, 630 00:37:01,920 --> 00:37:04,880 Speaker 1: even if they don't eat what you're growing, they're gonna trample, 631 00:37:05,239 --> 00:37:07,080 Speaker 1: you know, you get the seven or eight elephants are 632 00:37:07,080 --> 00:37:09,400 Speaker 1: going to cause a tremendous amount of damage. So people 633 00:37:09,440 --> 00:37:11,960 Speaker 1: see the elephants coming onto their land and they'll run 634 00:37:11,960 --> 00:37:14,080 Speaker 1: out and they'll try you know, they're they're angry and 635 00:37:14,120 --> 00:37:17,399 Speaker 1: they're upset, and they tend to they tend to be 636 00:37:17,680 --> 00:37:21,279 Speaker 1: deaths from getting trampled or knocked over or I mean 637 00:37:21,320 --> 00:37:24,080 Speaker 1: the elephant even if they're that's not the elephant's intent. 638 00:37:24,280 --> 00:37:26,880 Speaker 1: It's a very big animal and it's just knocks you 639 00:37:26,920 --> 00:37:30,280 Speaker 1: with its trunk. It can kill you. And um, so 640 00:37:30,280 --> 00:37:34,719 Speaker 1: so yes, it's it's humans moving into the territory and 641 00:37:34,719 --> 00:37:37,600 Speaker 1: and changing the landscape in ways that Steiny's their their 642 00:37:37,680 --> 00:37:41,920 Speaker 1: natural behaviors and they're there their way of surviving and 643 00:37:41,960 --> 00:37:45,440 Speaker 1: getting food. You see that also, you know highways, interstate 644 00:37:45,520 --> 00:37:48,760 Speaker 1: highways in this country, sometimes they're put in without taking 645 00:37:48,760 --> 00:37:51,360 Speaker 1: a look at, well, what what animals migrate seasonally to 646 00:37:51,400 --> 00:37:53,800 Speaker 1: get food, go to a different elevation to get food 647 00:37:53,880 --> 00:37:56,400 Speaker 1: or to breede, and are we cutting them off? You know? 648 00:37:56,480 --> 00:37:59,200 Speaker 1: That's so that's um that's a problem. And you can 649 00:37:59,239 --> 00:38:01,799 Speaker 1: build an over asked but that's an expensive thing to 650 00:38:01,880 --> 00:38:04,160 Speaker 1: do and you know, much better to look at that 651 00:38:04,239 --> 00:38:07,040 Speaker 1: beforehand saying, you know, what is the situation here in 652 00:38:07,120 --> 00:38:10,160 Speaker 1: this this sloth of land. What kind of wildlife do 653 00:38:10,200 --> 00:38:13,680 Speaker 1: we have? And how did they move each year seasonally? Um? 654 00:38:14,120 --> 00:38:17,480 Speaker 1: Is there is this a bad idea? Correct me if 655 00:38:17,520 --> 00:38:19,719 Speaker 1: I'm wrong. But I think another example of that kind 656 00:38:19,719 --> 00:38:23,319 Speaker 1: of thing about um modification of the landscape and and 657 00:38:23,440 --> 00:38:28,439 Speaker 1: the problems that causes is like poor choices about the 658 00:38:28,480 --> 00:38:32,200 Speaker 1: relationship between different types of plants or fruit bearing plants, 659 00:38:32,320 --> 00:38:34,840 Speaker 1: especially and settled areas. Like I think you give the 660 00:38:34,880 --> 00:38:37,400 Speaker 1: example of was it an aspen or somewhere else in 661 00:38:37,440 --> 00:38:41,120 Speaker 1: Colorado that the city was planting crab apple trees within 662 00:38:41,200 --> 00:38:43,880 Speaker 1: the city even while they're trying to solve their bear problem. 663 00:38:43,960 --> 00:38:46,320 Speaker 1: But then the other thing that stuck with me was 664 00:38:46,360 --> 00:38:50,280 Speaker 1: I think you were talking about um cabins being like sited. 665 00:38:50,520 --> 00:38:52,520 Speaker 1: Somebody buy a plot of land and build a cabin 666 00:38:52,680 --> 00:38:55,400 Speaker 1: right in the middle of a bunch of natural berry trees, 667 00:38:56,080 --> 00:38:58,320 Speaker 1: so that would be the place where like the bears 668 00:38:58,320 --> 00:39:01,759 Speaker 1: would already be habituated to. Oh yeah, yeah, yeah, yeah. 669 00:39:01,800 --> 00:39:05,560 Speaker 1: The crab apples and downtown aspen Um they mean crab 670 00:39:05,640 --> 00:39:07,480 Speaker 1: apple if you I mean, if you've seen a crab 671 00:39:07,480 --> 00:39:10,399 Speaker 1: apple tree it's they're tiny crab apples, but their own sect, 672 00:39:10,520 --> 00:39:13,719 Speaker 1: their clusters of them kind of like grapes, and the 673 00:39:13,760 --> 00:39:15,759 Speaker 1: bears just sort of like opens its mouth, you know, 674 00:39:15,760 --> 00:39:18,080 Speaker 1: and like pulls its mouth down the branch and gets 675 00:39:18,120 --> 00:39:20,799 Speaker 1: these big mouthfuls. I mean, the crab apple tree is 676 00:39:20,840 --> 00:39:23,319 Speaker 1: just heaven't you know, if you're an animal looking to 677 00:39:23,320 --> 00:39:26,600 Speaker 1: get a concentrated food source and lots of calories to 678 00:39:26,640 --> 00:39:30,200 Speaker 1: put on weight before you hibernate crab apple tree. Yeah. 679 00:39:30,600 --> 00:39:33,600 Speaker 1: So the fact that those are planted in downtown, Um, 680 00:39:33,640 --> 00:39:36,600 Speaker 1: they're pretty when they blew. Yeah, that's true. They are 681 00:39:36,719 --> 00:39:41,319 Speaker 1: lovely in the spring, but creating creating some issues there 682 00:39:41,320 --> 00:39:43,520 Speaker 1: and and there was even efforts to get them the 683 00:39:43,600 --> 00:39:47,160 Speaker 1: city to take them out and they resisted that, which 684 00:39:48,280 --> 00:39:50,920 Speaker 1: this seems a little it was a little ill advised. 685 00:39:50,960 --> 00:39:53,200 Speaker 1: But yeah, yeah, I mean here in the in the 686 00:39:53,239 --> 00:39:56,200 Speaker 1: Bay area, a lot up in the hills in Berkeley 687 00:39:56,200 --> 00:40:00,000 Speaker 1: and Oakland, a lot of deer. So it really behoo 688 00:40:00,040 --> 00:40:03,480 Speaker 1: as you when you do your landscaping, to plant plants 689 00:40:03,480 --> 00:40:07,000 Speaker 1: that deer are not interested in. That is something any 690 00:40:07,040 --> 00:40:09,920 Speaker 1: good landscape or here will do is suggest plants that 691 00:40:10,040 --> 00:40:15,200 Speaker 1: deer I don't like. Otherwise you won't have much landscaping 692 00:40:15,800 --> 00:40:18,840 Speaker 1: very soon. And of course that this all leads to 693 00:40:18,960 --> 00:40:21,080 Speaker 1: some people might might jump to the conclusion, well, don't 694 00:40:21,120 --> 00:40:23,440 Speaker 1: don't we need to kill more of these animals, And 695 00:40:23,440 --> 00:40:26,759 Speaker 1: that's that's something you discuss quite a bit, like this 696 00:40:26,840 --> 00:40:30,640 Speaker 1: idea that if sometimes these just elaborate efforts to remove 697 00:40:30,680 --> 00:40:33,680 Speaker 1: the animals that then just backfire for for reasons that 698 00:40:33,719 --> 00:40:36,440 Speaker 1: you get into in the book. Um And at one 699 00:40:36,480 --> 00:40:39,880 Speaker 1: point you you refer to quote the inside out history 700 00:40:39,920 --> 00:40:43,399 Speaker 1: of conservation in America, which which I think I love 701 00:40:43,560 --> 00:40:46,960 Speaker 1: the way you put that there, because yeah, dealing with 702 00:40:47,000 --> 00:40:49,719 Speaker 1: how conservation in America is often not tied up in 703 00:40:49,760 --> 00:40:52,720 Speaker 1: these also these eradication movements or in the hunting movement. 704 00:40:52,719 --> 00:40:55,480 Speaker 1: Can you speak to some of that that complexity there? Well, sure, 705 00:40:56,480 --> 00:41:01,520 Speaker 1: concert conservation, wilderness conservation came out of a desire to 706 00:41:01,680 --> 00:41:06,440 Speaker 1: set aside these large pristine tracts of wilderness so that 707 00:41:06,560 --> 00:41:10,240 Speaker 1: hunters would have a place to hunt. Essentially, they were 708 00:41:09,960 --> 00:41:13,879 Speaker 1: they were hunt and fish and they're still, I mean, 709 00:41:13,880 --> 00:41:17,640 Speaker 1: to this day, we have a lot of government land 710 00:41:17,880 --> 00:41:22,040 Speaker 1: that is managed by wildlife agencies, and wildlife agencies are 711 00:41:22,040 --> 00:41:26,480 Speaker 1: funded still by hunting licenses and taxes on equipment. So 712 00:41:26,520 --> 00:41:28,279 Speaker 1: there's it. There is this link. I mean, on the 713 00:41:28,280 --> 00:41:32,400 Speaker 1: one hand, it is fabulous that these these were set aside, 714 00:41:32,400 --> 00:41:35,400 Speaker 1: that they didn't become agricultural land. I live in in 715 00:41:35,440 --> 00:41:38,160 Speaker 1: California and if you go out to the Central Valley 716 00:41:38,480 --> 00:41:42,719 Speaker 1: Um there are these little pockets of California as it 717 00:41:43,239 --> 00:41:47,200 Speaker 1: used to be, these wetlands with these tremendous diversity of 718 00:41:47,320 --> 00:41:50,040 Speaker 1: bird life that you know, bird bird stopping over and 719 00:41:50,320 --> 00:41:54,000 Speaker 1: during migration. You know, you have you know, ducks, gadwalls, geese, 720 00:41:54,600 --> 00:41:58,959 Speaker 1: just dozens of species. It's the birders paradise. But there's 721 00:41:58,960 --> 00:42:02,279 Speaker 1: also a little hunt tea cabins for duck hunters who 722 00:42:02,320 --> 00:42:06,240 Speaker 1: come and the land was set aside by and for hunting, 723 00:42:06,280 --> 00:42:10,400 Speaker 1: but it's also something you know, for hikers and and birders. 724 00:42:10,840 --> 00:42:13,359 Speaker 1: And it's a weird it is. You know, I, as 725 00:42:13,400 --> 00:42:15,200 Speaker 1: a bird watcher used to go out there. I never 726 00:42:15,280 --> 00:42:17,400 Speaker 1: knew about the little hunters cabins. It's kind of like 727 00:42:17,440 --> 00:42:20,960 Speaker 1: this sort of secret reality of that that area and 728 00:42:21,000 --> 00:42:24,480 Speaker 1: those wetlands. But it really struck me, you know, driving 729 00:42:24,520 --> 00:42:28,720 Speaker 1: home going from this really beautiful kind of verdant swath 730 00:42:28,800 --> 00:42:32,400 Speaker 1: of California, leaving that behind and going out into the 731 00:42:32,440 --> 00:42:35,680 Speaker 1: more typical Central Valley California, which is just a big 732 00:42:35,719 --> 00:42:41,200 Speaker 1: flat expanse of big agriculture, you know, of crops, and so, 733 00:42:41,400 --> 00:42:44,799 Speaker 1: you know, I felt very grateful towards the people who 734 00:42:44,800 --> 00:42:47,279 Speaker 1: had set this land aside. And you know, there is 735 00:42:47,320 --> 00:42:51,000 Speaker 1: this sort of distance of hunters and birders now, uh 736 00:42:51,040 --> 00:42:53,759 Speaker 1: and uh, but it is it is strange to think 737 00:42:53,800 --> 00:42:57,240 Speaker 1: about the fact that some of our um park lands 738 00:42:57,280 --> 00:43:01,680 Speaker 1: and wilderness areas were originally set aside for people who 739 00:43:01,719 --> 00:43:04,080 Speaker 1: love to hunt. But of course there's still the funding 740 00:43:04,120 --> 00:43:06,239 Speaker 1: issue here, right, And that's something you get into in 741 00:43:06,239 --> 00:43:09,880 Speaker 1: the in the book that you have these conservation efforts 742 00:43:09,920 --> 00:43:14,600 Speaker 1: that are still still funded by hunting, funded uh, by phishing, etcetera. 743 00:43:14,960 --> 00:43:17,120 Speaker 1: And I guess you know, in a perfect world that 744 00:43:17,120 --> 00:43:20,120 Speaker 1: would all balance out, but there are cases, it seems 745 00:43:20,160 --> 00:43:23,160 Speaker 1: like where it raises the question is this the right approach? 746 00:43:23,160 --> 00:43:27,279 Speaker 1: Should there not be you know, more federal funding for conservation? Yeah? 747 00:43:27,360 --> 00:43:31,640 Speaker 1: I think that there tends to be a mistrust. You know, 748 00:43:31,840 --> 00:43:36,600 Speaker 1: if the money is coming from hunting and fishing, um, 749 00:43:36,840 --> 00:43:40,319 Speaker 1: isn't there temptation on the agency's part to put the 750 00:43:40,360 --> 00:43:43,520 Speaker 1: desires of those of their constituents first, you know, can 751 00:43:43,600 --> 00:43:47,680 Speaker 1: we trust them to be unbiased and neutral saviors of 752 00:43:47,719 --> 00:43:51,560 Speaker 1: the land. Um so, and there is there is there 753 00:43:51,560 --> 00:43:56,040 Speaker 1: has been talk of of of separating separating, making the 754 00:43:56,120 --> 00:43:59,600 Speaker 1: funding for some of these conservation efforts federal funding, making 755 00:43:59,600 --> 00:44:03,360 Speaker 1: it into pendant of hunting and fishing, you know, creating 756 00:44:03,440 --> 00:44:07,120 Speaker 1: some sort of body or pool of money that would 757 00:44:07,320 --> 00:44:10,480 Speaker 1: would be earmarked for conservation and and AND's just sort 758 00:44:10,480 --> 00:44:14,640 Speaker 1: of creating some distance between the two. So so, yeah, 759 00:44:14,640 --> 00:44:16,919 Speaker 1: that is a concern. And and I think it would 760 00:44:16,920 --> 00:44:26,600 Speaker 1: be great too for that to happen. Thank So here's 761 00:44:26,600 --> 00:44:29,000 Speaker 1: a question that might be a little odd, but I 762 00:44:29,000 --> 00:44:31,360 Speaker 1: wonder if you have thoughts about it. How do you 763 00:44:31,400 --> 00:44:36,000 Speaker 1: think about motive, the concept of motive differently in a 764 00:44:36,000 --> 00:44:39,440 Speaker 1: criminal justice context when the perpetrator of a crime is 765 00:44:39,480 --> 00:44:43,320 Speaker 1: not human, because a big part of human criminal justice 766 00:44:43,360 --> 00:44:48,120 Speaker 1: is about understanding and establishing motive, treating crimes differently based 767 00:44:48,160 --> 00:44:52,560 Speaker 1: on what the motive was or what the perpetrator's understanding was. Uh. 768 00:44:52,680 --> 00:44:55,440 Speaker 1: The thing about the internal brain states that motivate the 769 00:44:55,440 --> 00:44:58,840 Speaker 1: attacks of non human animals, it seems like you could 770 00:44:58,920 --> 00:45:01,960 Speaker 1: think about them either as like less complex than their 771 00:45:02,000 --> 00:45:04,760 Speaker 1: human equivalence. And thus may be easier to understand. Often 772 00:45:04,760 --> 00:45:07,800 Speaker 1: and animal is just feeling threatened in some way or 773 00:45:07,880 --> 00:45:10,560 Speaker 1: might be hungry or you could think about them is 774 00:45:10,719 --> 00:45:14,200 Speaker 1: maybe more obscure because animals are more alien to our 775 00:45:14,239 --> 00:45:18,319 Speaker 1: experience and they can't explain their motives in language. Yeah, 776 00:45:18,320 --> 00:45:24,120 Speaker 1: the question of motive, it's interesting. In India, that's factored in. Uh, 777 00:45:24,239 --> 00:45:28,359 Speaker 1: the cases are treated differently. Um. If it's if it's 778 00:45:28,920 --> 00:45:33,680 Speaker 1: um a predatory attack versus a defensive attack. UM. So 779 00:45:33,800 --> 00:45:36,400 Speaker 1: that's if there's if there's a series, there's kind of 780 00:45:36,400 --> 00:45:38,919 Speaker 1: a you know, three strikes rule. You know, if if 781 00:45:38,920 --> 00:45:42,640 Speaker 1: this if the animal is coming in and praying on 782 00:45:43,160 --> 00:45:47,480 Speaker 1: intentionally praying on livestock or or people. You know, that's 783 00:45:47,520 --> 00:45:50,439 Speaker 1: that's different from a defensive attack. That with leopards, there are, 784 00:45:50,880 --> 00:45:53,680 Speaker 1: as we've talked about before, there are predatory attacks where 785 00:45:53,719 --> 00:45:57,440 Speaker 1: the animal is specifically and intentionally going after a human. 786 00:45:57,760 --> 00:45:59,879 Speaker 1: But there are tremendous numbers of If you go further 787 00:46:00,320 --> 00:46:03,879 Speaker 1: south into the tea growing regions, which I also spent 788 00:46:04,000 --> 00:46:08,080 Speaker 1: some time the in the in the tea on the 789 00:46:08,080 --> 00:46:13,359 Speaker 1: tea plantations, Lepers sometimes sleep under the tea plants because 790 00:46:13,360 --> 00:46:16,800 Speaker 1: it's shady air and it's cooler, and the tea workers, 791 00:46:16,840 --> 00:46:19,760 Speaker 1: the pluckers, people plucking the leaves will sometimes surprise an animal. 792 00:46:20,040 --> 00:46:22,400 Speaker 1: The animal will like leap up. Sometimes there's an injury, 793 00:46:22,480 --> 00:46:25,960 Speaker 1: rarely a fatality, but that's a that's a that's that's 794 00:46:26,080 --> 00:46:30,479 Speaker 1: a defensive just an altercation that happened because the person 795 00:46:30,600 --> 00:46:33,080 Speaker 1: surprised the animal and it felt threatened. So those are 796 00:46:33,360 --> 00:46:37,040 Speaker 1: considered differently than a predatory attack. So there is that 797 00:46:37,120 --> 00:46:41,919 Speaker 1: distinction made. Um. You know, here in the US, when 798 00:46:41,920 --> 00:46:46,640 Speaker 1: an animal harms a person, it's it's it's considered a 799 00:46:46,680 --> 00:46:51,239 Speaker 1: public health threat, and it's it's typically that's that it 800 00:46:51,320 --> 00:46:54,680 Speaker 1: has crust a line. Regardless of whether the bear was 801 00:46:54,719 --> 00:46:58,359 Speaker 1: surprised and was defending itself, we tend to not make 802 00:46:58,400 --> 00:47:01,799 Speaker 1: that same distinction. If it harms or if it kills 803 00:47:01,800 --> 00:47:04,640 Speaker 1: a person, it will be destroyed. Even if it was 804 00:47:04,719 --> 00:47:06,759 Speaker 1: the person had a dog, the dog ran at the bear, 805 00:47:06,840 --> 00:47:10,240 Speaker 1: the bear got upset, the person sort of tried to intervene. 806 00:47:10,280 --> 00:47:13,440 Speaker 1: The bear turned and attack the person. You know that 807 00:47:13,480 --> 00:47:16,920 Speaker 1: there's no trial where we can we can set forth 808 00:47:17,400 --> 00:47:20,839 Speaker 1: the reality of the situation and why the bear might 809 00:47:20,880 --> 00:47:24,480 Speaker 1: have done it, and what the what the situation created 810 00:47:24,719 --> 00:47:27,240 Speaker 1: and in a sense kind of come out a motive 811 00:47:27,600 --> 00:47:30,279 Speaker 1: or lack of motive. Yeah, yeah, that's interesting. So in 812 00:47:30,320 --> 00:47:33,880 Speaker 1: the American context, um, the way we react to conflict 813 00:47:33,920 --> 00:47:38,680 Speaker 1: with animals is maybe less understanding of whether or not 814 00:47:38,760 --> 00:47:40,640 Speaker 1: they might be justified, and it is more just kind 815 00:47:40,680 --> 00:47:43,360 Speaker 1: of a pure utilitarian You know, if if an animal 816 00:47:43,440 --> 00:47:46,040 Speaker 1: has harmed a human or or or a pet or something, 817 00:47:46,080 --> 00:47:49,920 Speaker 1: it's just thereafter considered probably dangerous and thus usually is 818 00:47:49,960 --> 00:47:52,760 Speaker 1: dealt with violently. Well, yeah, it's a it's a public 819 00:47:52,840 --> 00:47:57,080 Speaker 1: safety issue. When the public safety is threatened that you 820 00:47:57,120 --> 00:47:58,759 Speaker 1: know that that's gonna the people are going to be 821 00:47:58,760 --> 00:48:00,879 Speaker 1: the priority, not the animal. I mean, I did talk 822 00:48:00,920 --> 00:48:04,279 Speaker 1: to this a bear, a bear researcher who had spent 823 00:48:04,400 --> 00:48:08,239 Speaker 1: some time I believe it was in Nepal where they 824 00:48:08,320 --> 00:48:12,840 Speaker 1: have God. Now I'm forgetting which species it is. I 825 00:48:12,840 --> 00:48:14,719 Speaker 1: think there bears there bears that come in and they 826 00:48:14,800 --> 00:48:19,560 Speaker 1: raid the property and they they sometimes get into altercations 827 00:48:19,560 --> 00:48:22,320 Speaker 1: where someone is injured. And he said to the person 828 00:48:22,600 --> 00:48:25,680 Speaker 1: in the community who responds to when these attacks happened, 829 00:48:25,719 --> 00:48:28,560 Speaker 1: he said, if you saw a bear on a person, 830 00:48:29,000 --> 00:48:32,359 Speaker 1: would you shoot the bear? And the guy said, it's 831 00:48:32,400 --> 00:48:35,759 Speaker 1: not up to me. To decide which life is more important. 832 00:48:36,400 --> 00:48:38,200 Speaker 1: It was just a different you know, it's a it's 833 00:48:38,200 --> 00:48:41,120 Speaker 1: a it's a very different mindset of you know, the 834 00:48:41,239 --> 00:48:46,480 Speaker 1: value and the rights of animals versus humans. And you know, 835 00:48:46,520 --> 00:48:49,239 Speaker 1: I'm not I mean, it doesn't surprise me that we 836 00:48:49,320 --> 00:48:51,080 Speaker 1: in the United States have the rules that we do. 837 00:48:51,160 --> 00:48:56,360 Speaker 1: I mean, it's public safety. You know, it's if you 838 00:48:56,440 --> 00:48:59,800 Speaker 1: if your family is being you know, is in harms, 839 00:49:00,200 --> 00:49:02,799 Speaker 1: then that there's gonna be agencies that will come in 840 00:49:02,800 --> 00:49:06,720 Speaker 1: and try to mitigate that threat. That's what we do. 841 00:49:07,160 --> 00:49:09,840 Speaker 1: So again, the book is is fuzz When Nature Breaks 842 00:49:09,880 --> 00:49:12,080 Speaker 1: the Law by by Mary Roach And I want to 843 00:49:12,080 --> 00:49:15,759 Speaker 1: stress that we we didn't ask about anywhere close to 844 00:49:15,920 --> 00:49:19,640 Speaker 1: all of the animals or scenarios or topics that you 845 00:49:19,680 --> 00:49:22,600 Speaker 1: discussed in the book. It's just it's it's it's it's 846 00:49:22,800 --> 00:49:25,400 Speaker 1: just so I would like each chapter. Uh, you know, 847 00:49:25,480 --> 00:49:28,359 Speaker 1: it impressed me. There's so much discussed in the book. 848 00:49:28,680 --> 00:49:33,000 Speaker 1: It's an unsecured garbage can overflowing the trees. Oh, I 849 00:49:33,040 --> 00:49:37,440 Speaker 1: love that. Can I use that as a blurb on 850 00:49:37,440 --> 00:49:41,839 Speaker 1: the paperback? Yes? Well, but but I thought, just just 851 00:49:41,880 --> 00:49:44,640 Speaker 1: for anyone out there, like what if you were to 852 00:49:44,640 --> 00:49:46,719 Speaker 1: summarize like, what does the big take come you want 853 00:49:46,719 --> 00:49:50,200 Speaker 1: people to have from reading fuzz Uh? You know what 854 00:49:50,200 --> 00:49:52,719 Speaker 1: what would that be? Well, first of all, I know, 855 00:49:52,920 --> 00:49:54,719 Speaker 1: I want I want people to know it's a fun read. 856 00:49:54,760 --> 00:49:57,200 Speaker 1: It's not. I mean sometimes talking about these things it 857 00:49:57,239 --> 00:50:00,760 Speaker 1: can seem like a bit of a downer. It's animals 858 00:50:00,800 --> 00:50:05,080 Speaker 1: there sometimes ending up being destroyed. But now I try, 859 00:50:05,080 --> 00:50:08,200 Speaker 1: I try to keep things entertaining and light, and there's 860 00:50:08,239 --> 00:50:11,239 Speaker 1: lots of room for that in this book. Um. But 861 00:50:11,320 --> 00:50:14,200 Speaker 1: as a as a takeaway, um, you know, I just 862 00:50:14,239 --> 00:50:17,600 Speaker 1: hope that people because people have a tendency to just 863 00:50:18,000 --> 00:50:20,759 Speaker 1: especially since we use the words pest and nuisance, and 864 00:50:20,880 --> 00:50:22,919 Speaker 1: I do use the word nuisance in the book as well. 865 00:50:23,480 --> 00:50:27,960 Speaker 1: We have this tendency to immediately when we've got an 866 00:50:28,000 --> 00:50:31,080 Speaker 1: animal coming onto our property doing something we don't want 867 00:50:31,080 --> 00:50:32,880 Speaker 1: it to do. We want to just pick up the 868 00:50:32,920 --> 00:50:34,960 Speaker 1: phone and call someone and make it go away. And 869 00:50:35,000 --> 00:50:39,680 Speaker 1: there's the way, there's there's things that prevent any further damage. 870 00:50:39,719 --> 00:50:42,120 Speaker 1: There's there's you know, you can exclude the animal, you 871 00:50:42,120 --> 00:50:44,120 Speaker 1: can call someone who actually has the welfare of the 872 00:50:44,160 --> 00:50:46,760 Speaker 1: animal in mind. And the Humane Society of the United 873 00:50:46,760 --> 00:50:49,640 Speaker 1: States is a great web page, species by species, here's 874 00:50:49,640 --> 00:50:52,520 Speaker 1: some things to do to solve resolve the problem without 875 00:50:52,719 --> 00:50:55,799 Speaker 1: harming or killing the animals. So I just I just 876 00:50:56,960 --> 00:50:59,120 Speaker 1: not not to be all on a soapbox or anything, 877 00:50:59,120 --> 00:51:03,560 Speaker 1: which just just to try to to calm down and 878 00:51:04,200 --> 00:51:08,400 Speaker 1: think about think about what you might do before you 879 00:51:08,440 --> 00:51:11,160 Speaker 1: call the wildlife control operator to set a trap and 880 00:51:11,239 --> 00:51:13,560 Speaker 1: let it go in a park and which is not 881 00:51:13,560 --> 00:51:16,960 Speaker 1: supposed to do, etcetera, or set a trap and um 882 00:51:17,080 --> 00:51:19,840 Speaker 1: or put out a very glue trap. I can't believe 883 00:51:19,840 --> 00:51:23,960 Speaker 1: they even sell those anymore. So that's not a very 884 00:51:24,000 --> 00:51:27,799 Speaker 1: short takeaway, is it. But that's that's what I guess. 885 00:51:27,840 --> 00:51:31,680 Speaker 1: I'd like people to just to think before they act 886 00:51:31,719 --> 00:51:34,040 Speaker 1: a little bit right. Well, and I do want to 887 00:51:34,040 --> 00:51:36,640 Speaker 1: concur that the book book is is very fun and 888 00:51:36,760 --> 00:51:40,680 Speaker 1: very funny, uh like all your books. I laughed, but 889 00:51:40,719 --> 00:51:43,879 Speaker 1: I also I also felt sad at times. It made 890 00:51:43,880 --> 00:51:45,960 Speaker 1: me think about things in a new way. So I 891 00:51:46,120 --> 00:51:48,239 Speaker 1: essentially I felt all the fields as the as the 892 00:51:48,280 --> 00:51:54,719 Speaker 1: young people say fully concur, well, thanks thank you, oh 893 00:51:54,840 --> 00:51:56,560 Speaker 1: thank you, thanks for taking time out of your data 894 00:51:56,640 --> 00:51:59,120 Speaker 1: to come on the show and discuss the book totally. 895 00:51:59,200 --> 00:52:04,279 Speaker 1: Thank you so much, most welcome. Thank you all right, well, 896 00:52:04,320 --> 00:52:06,640 Speaker 1: thanks once more to Marry Roach for taking time out 897 00:52:06,640 --> 00:52:08,640 Speaker 1: of her day to come on the show and chat 898 00:52:08,719 --> 00:52:11,359 Speaker 1: with us. Her website if you want to learn more 899 00:52:11,360 --> 00:52:14,120 Speaker 1: about her and her work is Mary roach dot net. 900 00:52:14,440 --> 00:52:16,960 Speaker 1: And as mentioned in the episode, there's also this new 901 00:52:17,120 --> 00:52:20,160 Speaker 1: edition of Stiff out now as well with new cover arts, 902 00:52:20,160 --> 00:52:22,520 Speaker 1: so so look for that if you've never read it, 903 00:52:22,960 --> 00:52:24,880 Speaker 1: this will be a great Halloween season to pick it 904 00:52:24,960 --> 00:52:26,959 Speaker 1: up or or Spook for that matter, both of those 905 00:52:27,040 --> 00:52:32,160 Speaker 1: I think would make for tremendous Halloween seasonal reads. In 906 00:52:32,200 --> 00:52:33,960 Speaker 1: the meantime, if you would like to check out other 907 00:52:33,960 --> 00:52:36,120 Speaker 1: episodes of Stuff to Blow Your Mind, you can find 908 00:52:36,200 --> 00:52:38,160 Speaker 1: us wherever you get your podcast look for the Stuff 909 00:52:38,200 --> 00:52:40,920 Speaker 1: to Blow your Mind podcast feed. We have core science 910 00:52:40,960 --> 00:52:45,640 Speaker 1: episodes on Tuesday and Thursday, Artifact episodes on Wednesday, uh 911 00:52:45,800 --> 00:52:49,080 Speaker 1: listener mail on Monday's. Friday is our time to cut 912 00:52:49,120 --> 00:52:51,360 Speaker 1: loose and talk about a weird film with Weird House Cinema, 913 00:52:51,400 --> 00:52:53,920 Speaker 1: and then on the weekend you get a rerun. Huge 914 00:52:53,960 --> 00:52:57,520 Speaker 1: thanks as always to our excellent audio producer Seth Nicholas Johnson. 915 00:52:57,880 --> 00:52:59,520 Speaker 1: If you would like to get in touch with us 916 00:52:59,520 --> 00:53:01,560 Speaker 1: with feed, act on this episode or any other to 917 00:53:01,600 --> 00:53:04,000 Speaker 1: suggest topic for the future, just to say hello. You 918 00:53:04,040 --> 00:53:07,000 Speaker 1: can email us at contact at stuff to Blow your 919 00:53:07,040 --> 00:53:17,280 Speaker 1: Mind dot com. Stuff to Blow Your Mind is production 920 00:53:17,360 --> 00:53:20,080 Speaker 1: of I heart Radio. For more podcasts for my heart Radio, 921 00:53:20,280 --> 00:53:22,960 Speaker 1: visit the i heart Radio app, Apple Podcasts, or wherever 922 00:53:23,000 --> 00:53:33,160 Speaker 1: you're listening to your favorite shows.