1 00:00:00,160 --> 00:00:04,000 Speaker 1: Tiger tiger burning bright in the forests of the night. 2 00:00:04,600 --> 00:00:09,480 Speaker 1: What immortal hand or I could frame thy fearful symmetry? 3 00:00:09,640 --> 00:00:12,920 Speaker 1: In what distant deeps or skies burnt the fire of 4 00:00:13,000 --> 00:00:17,040 Speaker 1: thine eyes? On What wings dare he aspire? What the 5 00:00:17,120 --> 00:00:20,360 Speaker 1: hand dare seize the fire? And what shoulder? And what 6 00:00:20,600 --> 00:00:24,320 Speaker 1: art could twist the sinews of thy heart? And when 7 00:00:24,360 --> 00:00:27,720 Speaker 1: thy heart began to beat? What dread hand? And what 8 00:00:27,840 --> 00:00:32,000 Speaker 1: dread feet? What the hammer? What the chain? In what 9 00:00:32,200 --> 00:00:36,599 Speaker 1: furnace was thy brain? What the anvil? What dread grasp? 10 00:00:37,080 --> 00:00:41,600 Speaker 1: Dare its deadly terrors clasp? When the stars threw down 11 00:00:41,640 --> 00:00:45,360 Speaker 1: their spears and water'd heaven with their tears, did he 12 00:00:45,479 --> 00:00:48,360 Speaker 1: smile his work to see? Did he who made the 13 00:00:48,479 --> 00:00:53,120 Speaker 1: lamb make thee tiger? Tiger burning bright in the forests 14 00:00:53,200 --> 00:00:56,960 Speaker 1: of the night? What immortal hand or I dare frame 15 00:00:57,080 --> 00:01:04,080 Speaker 1: thy fearful symmetry? Welcome to Stuff to Blow your Mind 16 00:01:04,240 --> 00:01:13,040 Speaker 1: from how Stuffworks dot Com. Hey, welcome to Stuff to 17 00:01:13,080 --> 00:01:15,400 Speaker 1: Blow your Mind. My name is Robert Lamb and I'm 18 00:01:15,480 --> 00:01:18,600 Speaker 1: Joe McCormick. And that was The Tiger by William Blake. 19 00:01:18,840 --> 00:01:22,559 Speaker 1: That's right, classic poem and one that ties into today's episode, 20 00:01:22,600 --> 00:01:26,120 Speaker 1: because we're going to be talking about predators like the tiger, 21 00:01:26,480 --> 00:01:29,480 Speaker 1: and I do think some of the initials, initial concerns 22 00:01:29,480 --> 00:01:32,520 Speaker 1: that we're gonna be discussing here, the initial questions about 23 00:01:32,520 --> 00:01:35,520 Speaker 1: the nature of predators um are closely mirrored in this 24 00:01:35,560 --> 00:01:38,679 Speaker 1: poem and some of the questions it's asking. So here's 25 00:01:38,680 --> 00:01:43,080 Speaker 1: a this weekend strange religious beliefs, Robert, have you ever 26 00:01:43,120 --> 00:01:47,600 Speaker 1: heard about the There is a Young Earth creationist idea 27 00:01:47,600 --> 00:01:51,080 Speaker 1: among some Young Earth creationist Christians, an idea that the 28 00:01:51,080 --> 00:01:53,880 Speaker 1: Tyranno source Rex was a her before. Have you ever 29 00:01:54,000 --> 00:01:58,520 Speaker 1: encountered this before among Young Earth creationists or their literature. 30 00:01:58,560 --> 00:02:00,240 Speaker 1: I don't mean personal now. I make it a point 31 00:02:00,240 --> 00:02:04,800 Speaker 1: to avoid younger creationist thoughts on dinosaurs and prestricked creatures, 32 00:02:04,840 --> 00:02:08,239 Speaker 1: to the point that I found such a book in 33 00:02:08,320 --> 00:02:11,360 Speaker 1: a lending library once, and I took great pleasure in 34 00:02:11,680 --> 00:02:14,480 Speaker 1: moving it directly from the lending library to the garbage 35 00:02:14,520 --> 00:02:17,320 Speaker 1: where it belongs. Well, I mean, that's in some ways 36 00:02:17,320 --> 00:02:20,080 Speaker 1: a noble task. This is a book peddling lies to children, 37 00:02:20,160 --> 00:02:23,320 Speaker 1: but often with great illustrations. Well it makes them even 38 00:02:23,320 --> 00:02:27,480 Speaker 1: more effective. But yeah, so so you're saying, like say, 39 00:02:27,520 --> 00:02:30,359 Speaker 1: what now Tarrannosaurus rex was a her before that just 40 00:02:30,440 --> 00:02:32,840 Speaker 1: runs countered everything that I've I've ever read. Now, I 41 00:02:32,880 --> 00:02:35,200 Speaker 1: want to be clear, I don't want to be unfair. Uh. 42 00:02:35,480 --> 00:02:38,160 Speaker 1: This is not generally a belief held among Christians or 43 00:02:38,200 --> 00:02:41,960 Speaker 1: anything like this. This is specifically a subset of Young 44 00:02:41,960 --> 00:02:45,440 Speaker 1: Earth creationists who believe this. But if you just google it, 45 00:02:45,680 --> 00:02:49,320 Speaker 1: you'll find all kinds of fundamentalist literature arguing that the 46 00:02:49,320 --> 00:02:52,600 Speaker 1: t rex and all other dinosaurs were herbivores. They ate 47 00:02:52,639 --> 00:02:56,840 Speaker 1: exclusively plants, And to be very clear, this is false. 48 00:02:57,520 --> 00:03:00,680 Speaker 1: All evidence points to the tarrannisa is Rex having a 49 00:03:00,720 --> 00:03:03,920 Speaker 1: meat based diet. There's some debate actually over whether the 50 00:03:03,919 --> 00:03:07,359 Speaker 1: t rex was primarily a hunter predator or was primarily 51 00:03:07,400 --> 00:03:10,000 Speaker 1: a scavenger of dead animals, and we can come back 52 00:03:10,000 --> 00:03:12,960 Speaker 1: to that in a minute. But morphological analysis of the 53 00:03:13,000 --> 00:03:15,640 Speaker 1: t rex skull alone will tell you very clearly that 54 00:03:15,720 --> 00:03:18,200 Speaker 1: this is a meat eating animal. It's got the teeth 55 00:03:18,240 --> 00:03:20,200 Speaker 1: of a meat eating animal, it's got the skull and 56 00:03:20,320 --> 00:03:23,360 Speaker 1: jaw shape of a meat eating animal. It looks like 57 00:03:23,440 --> 00:03:27,160 Speaker 1: it was built for applying crushing bites to prey animals 58 00:03:27,160 --> 00:03:30,280 Speaker 1: and then powerfully pulling its head to move the animal's 59 00:03:30,320 --> 00:03:32,679 Speaker 1: body or to rip away flesh. Now, as for the 60 00:03:32,760 --> 00:03:36,480 Speaker 1: question of whether these mighty therapod dinosaurs were primarily hunter, 61 00:03:36,560 --> 00:03:40,040 Speaker 1: predators or scavengers, we discussed one strong piece of evidence 62 00:03:40,480 --> 00:03:43,520 Speaker 1: that the therapod relative of the t rex, the Alisaurus, 63 00:03:44,080 --> 00:03:47,320 Speaker 1: was a predator in our Kimbodian Stegasaurus episode. You remember 64 00:03:47,360 --> 00:03:52,080 Speaker 1: that it was another weird intersection between religious beliefs and dinosaurs. 65 00:03:52,120 --> 00:03:55,320 Speaker 1: But anyway, in that episode we talked about the allosaurus 66 00:03:55,440 --> 00:03:58,040 Speaker 1: who clearly died from an injury in a fight with 67 00:03:58,080 --> 00:04:01,200 Speaker 1: a stegosaur. It got a thagon miser spike right to 68 00:04:01,240 --> 00:04:03,720 Speaker 1: the crotch, and the way the bone has been preserved, 69 00:04:03,760 --> 00:04:06,040 Speaker 1: it's clear that that's what happened. This is the opinion 70 00:04:06,080 --> 00:04:09,040 Speaker 1: of the paleontologist Robert backer Um that that it died 71 00:04:09,080 --> 00:04:11,400 Speaker 1: in a fight with the stegasaur it and so of 72 00:04:11,440 --> 00:04:13,440 Speaker 1: course that really makes it look like the allosaurus was 73 00:04:13,480 --> 00:04:15,480 Speaker 1: a predator. It seems like it would be unlikely that 74 00:04:15,560 --> 00:04:18,640 Speaker 1: a scavenger would get thagomized in the crotch like that, 75 00:04:19,279 --> 00:04:22,080 Speaker 1: so it was trying to attack pray. But anyway, the 76 00:04:22,160 --> 00:04:26,240 Speaker 1: question is why would somebody, for religious reasons believe that 77 00:04:26,480 --> 00:04:30,440 Speaker 1: meat eating dinosaurs were actually herbivores. Like, I don't remember 78 00:04:30,480 --> 00:04:34,040 Speaker 1: anything in the Bible about the t rex. Uh. So 79 00:04:34,200 --> 00:04:36,800 Speaker 1: I've tried to look up the reasoning behind people who 80 00:04:36,839 --> 00:04:38,440 Speaker 1: believe this, and it seems to be sort of a 81 00:04:38,440 --> 00:04:41,719 Speaker 1: consequence of other beliefs. So the people who have written 82 00:04:41,720 --> 00:04:44,240 Speaker 1: on this, they sometimes refer to a passage in the 83 00:04:44,279 --> 00:04:48,000 Speaker 1: first chapter of the Book of Genesis. It's Versus thirty, 84 00:04:48,080 --> 00:04:50,760 Speaker 1: and it says, quote, and God said, see, I have 85 00:04:50,880 --> 00:04:53,760 Speaker 1: given you every herb that yields seed, which is on 86 00:04:53,800 --> 00:04:56,360 Speaker 1: the face of the earth, and every tree whose fruit 87 00:04:56,440 --> 00:04:59,680 Speaker 1: yield seed to you, it shall be for food. Also 88 00:04:59,800 --> 00:05:02,159 Speaker 1: to every beast of the earth, to every bird of 89 00:05:02,200 --> 00:05:04,359 Speaker 1: the air, and to everything that creeps on the earth 90 00:05:04,680 --> 00:05:07,400 Speaker 1: in which there is life. I have given every green 91 00:05:07,520 --> 00:05:11,760 Speaker 1: herb for food. And it was so. So that's a 92 00:05:11,880 --> 00:05:15,520 Speaker 1: verse that generally says, hey, animals, time to eat some vegetables. 93 00:05:16,000 --> 00:05:18,880 Speaker 1: And then, of course, also there seems to be more 94 00:05:18,960 --> 00:05:22,680 Speaker 1: broadly a widespread belief that meat eating would represent some 95 00:05:23,000 --> 00:05:26,680 Speaker 1: kind of compromise to the idea of the original creation 96 00:05:26,760 --> 00:05:29,160 Speaker 1: of the world as perfect. It would imply that Eden 97 00:05:29,360 --> 00:05:32,039 Speaker 1: was not truly a perfect paradise. Well, I guess it 98 00:05:32,080 --> 00:05:34,360 Speaker 1: is kind of an interesting theological question, right, I mean, 99 00:05:34,400 --> 00:05:37,440 Speaker 1: could could Eve have really messed things up all that much? 100 00:05:37,520 --> 00:05:40,680 Speaker 1: If prior to the fall there were predators feeding on 101 00:05:40,760 --> 00:05:45,000 Speaker 1: other creatures young, or you had parasite induced blindness occurring, 102 00:05:45,880 --> 00:05:48,800 Speaker 1: or even something as victimless as a buzzard tearing into 103 00:05:48,960 --> 00:05:52,200 Speaker 1: a dead antelope. These are I think, because these are 104 00:05:52,320 --> 00:05:56,040 Speaker 1: nasty images, people tend to assume that like, oh well, 105 00:05:56,080 --> 00:05:58,640 Speaker 1: if that were to take place, it would definitely foul 106 00:05:58,760 --> 00:06:01,760 Speaker 1: the balance of creation. Yeah, if there were tigers in 107 00:06:01,800 --> 00:06:05,039 Speaker 1: the garden, and then we can't possibly envision them as anything, 108 00:06:05,600 --> 00:06:07,640 Speaker 1: but then to to try and imagine, say a tiger, 109 00:06:07,680 --> 00:06:10,400 Speaker 1: Try to imagine a tiger in the garden of Eden. 110 00:06:10,960 --> 00:06:13,680 Speaker 1: If it's doing anything other than what tigers do, then 111 00:06:13,920 --> 00:06:17,840 Speaker 1: it just doesn't make sense. We we can't possibly imagine 112 00:06:17,880 --> 00:06:21,280 Speaker 1: the tigers anything but what it is, because everything they 113 00:06:21,279 --> 00:06:24,200 Speaker 1: are is a meat eater. To envision an herbivore tiger 114 00:06:24,600 --> 00:06:28,400 Speaker 1: is to envision either a possible like downstream evolutionary form, 115 00:06:28,480 --> 00:06:31,159 Speaker 1: something on the level of say a giant panda, or 116 00:06:31,279 --> 00:06:34,839 Speaker 1: something so far back in evolution that it scarcely resembles 117 00:06:34,839 --> 00:06:37,240 Speaker 1: a cat at all, like to put it in a 118 00:06:37,839 --> 00:06:41,040 Speaker 1: frame of reference, here, the first terrestrial herbivore probably appeared 119 00:06:41,040 --> 00:06:44,440 Speaker 1: on land about two two million years ago, and it 120 00:06:44,480 --> 00:06:47,200 Speaker 1: would not have looked like a tiger. Now, to come 121 00:06:47,240 --> 00:06:51,080 Speaker 1: back to the tiger by William Blake, one of the 122 00:06:51,080 --> 00:06:53,560 Speaker 1: ideas that he's asking is just like to to be 123 00:06:53,680 --> 00:06:56,360 Speaker 1: very literal with the poem, is how can the same 124 00:06:56,400 --> 00:06:58,880 Speaker 1: god who made the lamb, the sweeten lamb also make 125 00:06:58,920 --> 00:07:02,440 Speaker 1: this ferocious tiger? Did he smile his work to see? 126 00:07:02,520 --> 00:07:05,120 Speaker 1: Did he who made the lamb make the um? The 127 00:07:05,440 --> 00:07:09,400 Speaker 1: side note um for Blake, here we the humans kind 128 00:07:09,440 --> 00:07:11,640 Speaker 1: of made the lamb, like we domesticated that that's kind 129 00:07:11,640 --> 00:07:14,080 Speaker 1: of kind kind of our thing, whereas the tiger is 130 00:07:14,120 --> 00:07:18,360 Speaker 1: really ultimately of the two animals, the more perfect, you know, 131 00:07:18,520 --> 00:07:21,240 Speaker 1: vision of creation. If you want to get technical, Yeah, 132 00:07:21,280 --> 00:07:23,080 Speaker 1: that's a good point. But but I think this is 133 00:07:23,360 --> 00:07:26,520 Speaker 1: basically this poem and some of these younger creationist ideas 134 00:07:26,520 --> 00:07:28,120 Speaker 1: are kind of emerging from the same thing, like how 135 00:07:28,120 --> 00:07:33,920 Speaker 1: do we square carnivorous biology? How do we square predation 136 00:07:34,560 --> 00:07:37,960 Speaker 1: in this kind of idealized version of life? Right? Well, 137 00:07:37,960 --> 00:07:41,440 Speaker 1: the implication of this belief, whether stated or unstated, is 138 00:07:41,480 --> 00:07:45,200 Speaker 1: that a perfect world would be a world without meat eating, right, 139 00:07:45,480 --> 00:07:48,760 Speaker 1: no predators, no scavengers. Now, this is not going to 140 00:07:48,840 --> 00:07:51,800 Speaker 1: be primarily an episode about the ethics of human meat eating. 141 00:07:51,840 --> 00:07:54,240 Speaker 1: I think there are questions to ask about, you know, 142 00:07:54,320 --> 00:07:56,400 Speaker 1: humans who know better, like what would be the correct 143 00:07:56,480 --> 00:07:59,000 Speaker 1: choice of how to live? But I wanted to talk 144 00:07:59,040 --> 00:08:00,800 Speaker 1: about this issue because I want to make the case 145 00:08:01,120 --> 00:08:05,520 Speaker 1: for the practical necessity of carnivori in nature. How in reality, 146 00:08:05,400 --> 00:08:09,120 Speaker 1: a world without predators and scavengers would not be a 147 00:08:09,120 --> 00:08:12,520 Speaker 1: perfect world. It would probably be a much worse world, 148 00:08:12,600 --> 00:08:14,560 Speaker 1: a world that we would not like at all for 149 00:08:14,600 --> 00:08:18,200 Speaker 1: many reasons, and perhaps even worthy of being called a 150 00:08:18,240 --> 00:08:23,800 Speaker 1: herbivorous hell. Predators and scavengers are important. They play an 151 00:08:23,840 --> 00:08:27,200 Speaker 1: important role in food chains and ecosystems, and they play 152 00:08:27,200 --> 00:08:30,520 Speaker 1: a role that we have plenty of evidence directly benefits 153 00:08:30,640 --> 00:08:33,960 Speaker 1: human beings on Earth. We would not like this planet 154 00:08:34,040 --> 00:08:37,320 Speaker 1: without predators and scavengers. But if you just observe the 155 00:08:37,320 --> 00:08:39,440 Speaker 1: way we talk about them, the way they feature in 156 00:08:39,440 --> 00:08:41,720 Speaker 1: our narratives, and the way we treat them in reality, 157 00:08:41,760 --> 00:08:44,120 Speaker 1: you wouldn't know this was the case, right, No, No, 158 00:08:44,280 --> 00:08:46,600 Speaker 1: you just did assume, yeah, that the tiger is this threat. 159 00:08:46,640 --> 00:08:48,480 Speaker 1: I mean, clearly, it's the villain of the Jungle Book. 160 00:08:48,480 --> 00:08:50,160 Speaker 1: How else are we supposed to feel about it? Yeah, 161 00:08:50,160 --> 00:08:52,080 Speaker 1: And it's all there in our mythology. I mean, there's 162 00:08:52,120 --> 00:08:54,880 Speaker 1: always like some kind of evil predatory animal or a 163 00:08:54,880 --> 00:08:57,520 Speaker 1: monster that's some kind of bigger, messed up version of 164 00:08:57,559 --> 00:09:01,079 Speaker 1: a predatory animal. Uh, and that we vilify and we 165 00:09:01,200 --> 00:09:03,440 Speaker 1: cast as a thing that must be killed in order 166 00:09:03,480 --> 00:09:05,319 Speaker 1: for us to survive. Yeah, I mean to go back 167 00:09:05,360 --> 00:09:08,080 Speaker 1: to our episode on the first monster. What is arguably 168 00:09:08,120 --> 00:09:12,400 Speaker 1: the first monster depicted in human artifacts, but a lion 169 00:09:12,480 --> 00:09:16,000 Speaker 1: headed human. Yeah, exactly, it takes on. It's a human 170 00:09:16,040 --> 00:09:19,800 Speaker 1: who has the characteristics of a predatory animal. And there 171 00:09:19,800 --> 00:09:22,719 Speaker 1: are plenty of good reasons that predators and scavengers are 172 00:09:22,800 --> 00:09:26,480 Speaker 1: often feared and that they do really frustrate people. And 173 00:09:26,480 --> 00:09:29,719 Speaker 1: it goes way beyond just direct attacks on humans. I mean, 174 00:09:29,920 --> 00:09:32,840 Speaker 1: one of the biggest problems, if you're going to consider 175 00:09:32,880 --> 00:09:35,760 Speaker 1: real problems caused by predatory animals in the world, one 176 00:09:35,760 --> 00:09:38,959 Speaker 1: of the biggest problems is livestock depredation. You know, as 177 00:09:38,960 --> 00:09:43,200 Speaker 1: soon as we had animal agriculture, predators could prey on 178 00:09:43,280 --> 00:09:46,360 Speaker 1: the herds of domesticated animals that we created, and that's 179 00:09:46,520 --> 00:09:49,640 Speaker 1: a real like loss of wealth from the humans who 180 00:09:49,800 --> 00:09:52,880 Speaker 1: maintain those herds. But then also we you know, there 181 00:09:52,960 --> 00:09:57,079 Speaker 1: are other things like attacks on pets and hosting diseases 182 00:09:57,120 --> 00:09:59,920 Speaker 1: and parasites, and these are real things that our motivation 183 00:10:00,120 --> 00:10:02,920 Speaker 1: for humans. But we want to stress again today, a 184 00:10:03,000 --> 00:10:06,000 Speaker 1: world without predators is not a world you want. So 185 00:10:06,040 --> 00:10:09,560 Speaker 1: what happens when we intentionally or inadvertently, you know, wage 186 00:10:10,040 --> 00:10:13,320 Speaker 1: a war of extinction against our betters in the food chain? 187 00:10:13,400 --> 00:10:16,520 Speaker 1: Are betters? Yeah, and in many cases are betters. Let's 188 00:10:16,559 --> 00:10:19,040 Speaker 1: explore a few examples with the caveat here that we're 189 00:10:19,040 --> 00:10:21,160 Speaker 1: going to ignore cases in which humans have dealt with 190 00:10:21,280 --> 00:10:25,040 Speaker 1: invasive predators, which is which of course can be difficult 191 00:10:25,040 --> 00:10:27,800 Speaker 1: in and of itself, but he's ultimately an attempt to 192 00:10:27,840 --> 00:10:30,840 Speaker 1: kind of balance the scales that we upset. Right by 193 00:10:30,880 --> 00:10:34,320 Speaker 1: introducing a predator into a range where it's not originally been, 194 00:10:34,400 --> 00:10:37,320 Speaker 1: we might be upsetting an ecosystem that was stable on 195 00:10:37,360 --> 00:10:41,120 Speaker 1: its own. So in most cases, predator eradication efforts or 196 00:10:41,200 --> 00:10:44,800 Speaker 1: general predator culling or control efforts, they stem from this 197 00:10:44,960 --> 00:10:48,160 Speaker 1: human unbalancing of the natural environment, and it usually goes 198 00:10:48,160 --> 00:10:50,480 Speaker 1: down about like this. So you have predators and prey 199 00:10:50,480 --> 00:10:53,640 Speaker 1: and they live in an involved balance. Then humans come along, 200 00:10:53,679 --> 00:10:55,439 Speaker 1: they move into the area. What do they do well, 201 00:10:55,640 --> 00:10:59,120 Speaker 1: they start building stuff and expanding. That leads to habitat 202 00:10:59,200 --> 00:11:03,320 Speaker 1: loss for the the natural organisms that live in the area, 203 00:11:03,360 --> 00:11:06,480 Speaker 1: including the predators. And then predators are killed or driven 204 00:11:06,480 --> 00:11:10,120 Speaker 1: off when they encroach upon human territory. And then humans 205 00:11:10,120 --> 00:11:13,640 Speaker 1: are raised domesticated food species, and then predators are drawn 206 00:11:13,720 --> 00:11:16,720 Speaker 1: to those food species, the lambs that that we have 207 00:11:16,800 --> 00:11:20,360 Speaker 1: framed exactly. And then uh, and then the predators are 208 00:11:20,480 --> 00:11:22,760 Speaker 1: killed or driven off as a result of it. Yeah, 209 00:11:23,080 --> 00:11:25,200 Speaker 1: it creates a tough situation. I mean, we can look 210 00:11:25,240 --> 00:11:28,040 Speaker 1: to two examples of it in today's world. For instance, 211 00:11:28,240 --> 00:11:32,200 Speaker 1: in modern Botswana. Uh, there's this need to protect both 212 00:11:32,320 --> 00:11:37,640 Speaker 1: valuable cattle and threatened lions species. Local cattle farmers frequently 213 00:11:37,640 --> 00:11:42,640 Speaker 1: resort to violent retaliation against the predators. Uh. And then again, 214 00:11:42,679 --> 00:11:45,960 Speaker 1: the lions themselves are endangered. They are only about thirty 215 00:11:46,000 --> 00:11:49,400 Speaker 1: thousand lions left in the wild, right, so conservationists don't 216 00:11:49,440 --> 00:11:51,319 Speaker 1: want to see the lions killed. But then again, if 217 00:11:51,360 --> 00:11:53,760 Speaker 1: you're a farmer and lions are attacking your cattle, you 218 00:11:53,760 --> 00:11:58,679 Speaker 1: can very well understand why the farmer feels that way, right. Uh. Now, incidentally, 219 00:11:58,679 --> 00:12:01,800 Speaker 1: there's a there's a really interesting up potential solution. I 220 00:12:01,800 --> 00:12:03,360 Speaker 1: don't know if you called a solution as much as 221 00:12:03,360 --> 00:12:06,600 Speaker 1: maybe a band aid for the scenario that has been explored, 222 00:12:06,640 --> 00:12:10,080 Speaker 1: but a conservation biologist, Dr Neil Jordan's has actually rolled 223 00:12:10,120 --> 00:12:13,000 Speaker 1: out a program to paint eyes on the rear ends 224 00:12:13,000 --> 00:12:15,920 Speaker 1: of cattle to help to rely on attacks. Uh not 225 00:12:16,120 --> 00:12:20,199 Speaker 1: unlike anti tiger masks that you sometimes see in belief 226 00:12:20,240 --> 00:12:23,000 Speaker 1: parts of India or also just sort of the naturally 227 00:12:23,000 --> 00:12:26,320 Speaker 1: evolved use of eye spots on various insects. And there's 228 00:12:26,360 --> 00:12:29,400 Speaker 1: evidence this is actually effective. Yes, there is some evidence. 229 00:12:29,520 --> 00:12:32,680 Speaker 1: Uh Um. I reported on it, I want to say, 230 00:12:32,679 --> 00:12:34,840 Speaker 1: like a year a year and a half ago, so 231 00:12:35,040 --> 00:12:37,320 Speaker 1: I haven't checked in to see what the latest data is. 232 00:12:37,360 --> 00:12:40,320 Speaker 1: But at the time, the data was encouraging that it 233 00:12:40,360 --> 00:12:43,280 Speaker 1: was at least in the I mean at least for 234 00:12:43,280 --> 00:12:46,520 Speaker 1: the short term, cutting down on some of these predation instances. 235 00:12:46,559 --> 00:12:49,640 Speaker 1: That's really interesting. I mean that goes along with some 236 00:12:49,720 --> 00:12:51,640 Speaker 1: of the advice that I know this is this is 237 00:12:51,640 --> 00:12:54,120 Speaker 1: probably not blanket advice, so don't use this as your 238 00:12:54,160 --> 00:12:57,479 Speaker 1: survival tactics. But I know, at least in some discussions 239 00:12:57,520 --> 00:13:00,400 Speaker 1: about how to deal best with encounters of wild editors, 240 00:13:00,440 --> 00:13:02,599 Speaker 1: like if you encounter I think maybe a bear or 241 00:13:02,600 --> 00:13:05,040 Speaker 1: a mountain lion or something like that out in the wild. 242 00:13:05,480 --> 00:13:07,880 Speaker 1: I've definitely heard advice before that you should not turn 243 00:13:07,960 --> 00:13:11,720 Speaker 1: your back and run because that can very easily trigger 244 00:13:11,880 --> 00:13:13,880 Speaker 1: you know, chase impulses. So what you want to do 245 00:13:13,960 --> 00:13:16,640 Speaker 1: is remain facing the animal, make it clear that you 246 00:13:16,679 --> 00:13:19,320 Speaker 1: can see it, and try to put distance between you 247 00:13:19,400 --> 00:13:22,880 Speaker 1: and it, you know, backing away. Uh And and that 248 00:13:22,960 --> 00:13:25,160 Speaker 1: sort of makes sense. I mean, an animal should be 249 00:13:25,240 --> 00:13:28,079 Speaker 1: able to see where other animals are looking, and if 250 00:13:28,080 --> 00:13:30,720 Speaker 1: it thinks you're not looking at it, that is a 251 00:13:30,800 --> 00:13:33,840 Speaker 1: chance for an attack. Now, another good example or wolves. 252 00:13:34,040 --> 00:13:36,840 Speaker 1: Wolves have face and continue to face a similar plight 253 00:13:36,880 --> 00:13:40,080 Speaker 1: in North America. So humans trot out all of these 254 00:13:40,120 --> 00:13:43,920 Speaker 1: domesticated prey species organisms that are really in many ways 255 00:13:44,040 --> 00:13:47,640 Speaker 1: trapped in a perpetual adolescence, which is key because in 256 00:13:47,679 --> 00:13:50,160 Speaker 1: the natural world that is where you see a lot 257 00:13:50,200 --> 00:13:53,360 Speaker 1: of the predation. You see the predators preying upon the 258 00:13:53,440 --> 00:13:58,520 Speaker 1: young or you know, the sick. But through domestication, we've 259 00:13:58,559 --> 00:14:02,520 Speaker 1: made sure that these species are main ideal prey for us. 260 00:14:02,559 --> 00:14:05,480 Speaker 1: So it's uh, you know, it's not a huge mysteries 261 00:14:05,800 --> 00:14:09,000 Speaker 1: as to why their ideal prey for various obligate carnivores 262 00:14:09,000 --> 00:14:12,360 Speaker 1: out there. Yeah, so the American gray wolf is this 263 00:14:12,440 --> 00:14:15,280 Speaker 1: is I found this super interesting. It is the modern 264 00:14:15,320 --> 00:14:17,760 Speaker 1: American wolf. Now what does that mean? So, as Carl 265 00:14:17,800 --> 00:14:20,240 Speaker 1: Zimmer pointed out in a two thousand sixteen New York 266 00:14:20,240 --> 00:14:23,920 Speaker 1: Times article on the subject, genomic evidence reveals that the 267 00:14:23,960 --> 00:14:27,520 Speaker 1: Eastern wolf and the red wolf, previously you know, considered 268 00:14:27,520 --> 00:14:30,560 Speaker 1: to be two separate varieties of wolf, those are actually 269 00:14:30,600 --> 00:14:33,800 Speaker 1: just mixtures of wolf and coyote d nat so they're 270 00:14:33,800 --> 00:14:36,360 Speaker 1: just their hybrids. But the one true wolf is the 271 00:14:36,400 --> 00:14:38,840 Speaker 1: gray wolf. Well, I mean, it's been interesting to see 272 00:14:38,920 --> 00:14:42,560 Speaker 1: as urbanization has happened throughout the United States, especially in 273 00:14:42,600 --> 00:14:47,160 Speaker 1: the twentieth century, the way that wild carnivorous canids have 274 00:14:47,240 --> 00:14:50,680 Speaker 1: adapted to human spaces. I mean, we we talked in 275 00:14:50,720 --> 00:14:54,360 Speaker 1: our Urban Evolution episode about the coyotes of American cities. 276 00:14:54,440 --> 00:14:57,640 Speaker 1: They're all over the place, and they they find ways 277 00:14:57,680 --> 00:15:02,040 Speaker 1: of surviving alongside us that we barely even detect. So, 278 00:15:02,080 --> 00:15:04,440 Speaker 1: as of two thousand seventeen, this is the most recent 279 00:15:04,520 --> 00:15:08,160 Speaker 1: data as of this recording. Uh, they're roughly five thousand, 280 00:15:08,240 --> 00:15:10,840 Speaker 1: six hundred and eighty gray wolves remaining in the lower 281 00:15:10,880 --> 00:15:14,240 Speaker 1: forty eight states. That don't sound like that many. Now 282 00:15:14,320 --> 00:15:19,480 Speaker 1: Alaska has between UM seventy seven hundred and eleven thousand, 283 00:15:19,480 --> 00:15:23,680 Speaker 1: two hundred, but kind of lupus. The gray wolf once 284 00:15:23,800 --> 00:15:26,560 Speaker 1: ranged from the Rockies to New England, and it's been 285 00:15:26,680 --> 00:15:32,880 Speaker 1: victim been victim to antipredation efforts to protect livestock, um hunting, trapping, baiting, 286 00:15:32,920 --> 00:15:35,920 Speaker 1: and some pretty pervasive scare tactics about the nature of 287 00:15:35,920 --> 00:15:38,920 Speaker 1: the wolves themselves. Now, to be clear, wolf attacks have 288 00:15:39,000 --> 00:15:41,960 Speaker 1: occurred in North America, but they are rare, and even 289 00:15:42,000 --> 00:15:45,360 Speaker 1: when they do occur, Uh, there, you know they're not 290 00:15:45,400 --> 00:15:47,960 Speaker 1: There's not just one type of wolf attack. You can, 291 00:15:48,040 --> 00:15:51,320 Speaker 1: for instance, chalk some of them up to defensive attacks, 292 00:15:51,320 --> 00:15:54,680 Speaker 1: and then also rabies could be a factor as well 293 00:15:54,720 --> 00:15:57,120 Speaker 1: in some of these cases. Yeah, absolutely, But I mean 294 00:15:57,200 --> 00:16:00,560 Speaker 1: the wolf is a perfect test case for people, uh 295 00:16:00,640 --> 00:16:03,880 Speaker 1: to they can see what the danger of being near 296 00:16:03,920 --> 00:16:06,520 Speaker 1: a wolf is. Like if you're told there's a wolf 297 00:16:06,560 --> 00:16:10,240 Speaker 1: in your neighborhood, you can immediately envision like, oh, I 298 00:16:10,280 --> 00:16:12,240 Speaker 1: can see how that could go bad. I could be 299 00:16:12,280 --> 00:16:14,120 Speaker 1: out in the yard and a wolf could attack me. 300 00:16:14,520 --> 00:16:18,360 Speaker 1: But you don't understand or easily visualize the other side 301 00:16:18,360 --> 00:16:21,280 Speaker 1: of the equation what the downsides can be if there's 302 00:16:21,320 --> 00:16:23,400 Speaker 1: not a wolf in your neighborhood. And indeed, there are 303 00:16:23,400 --> 00:16:25,760 Speaker 1: many neighborhoods where they're they're not being no wolves, and 304 00:16:25,800 --> 00:16:30,880 Speaker 1: sometimes those neighborhoods are something like Yellowstone National Park. Uh. 305 00:16:31,040 --> 00:16:33,360 Speaker 1: It's an interesting case, and this was outlined by a 306 00:16:33,480 --> 00:16:38,920 Speaker 1: science writer and rewilding advocate, George monbiat Uh. He points 307 00:16:38,920 --> 00:16:41,920 Speaker 1: out that wolves were reintroduced into Yellowstone National Park in 308 00:16:44,080 --> 00:16:47,040 Speaker 1: a Yellowstone that by that point was overrun by deer 309 00:16:47,120 --> 00:16:50,360 Speaker 1: without predators to control their numbers, and the results were 310 00:16:50,360 --> 00:16:54,000 Speaker 1: pretty amazing, he lays out, So they introduced the wolves 311 00:16:54,040 --> 00:16:57,120 Speaker 1: back into into the park. The wolves, of course killed 312 00:16:57,160 --> 00:16:59,600 Speaker 1: some deer, as would be expected, but then this also 313 00:16:59,720 --> 00:17:03,120 Speaker 1: changed the behavior of the deer. The deer started avoiding 314 00:17:03,400 --> 00:17:07,000 Speaker 1: essentially dangerous areas of the park, areas that were not 315 00:17:07,119 --> 00:17:08,959 Speaker 1: a good place to to hang out in if there 316 00:17:08,960 --> 00:17:12,000 Speaker 1: were wolves about, and these places began to grow again 317 00:17:12,040 --> 00:17:15,879 Speaker 1: to regenerate. Tree hid here increased dramatically in some areas, 318 00:17:15,880 --> 00:17:19,680 Speaker 1: he says, Uh, certain bird species moved back in uh, 319 00:17:19,960 --> 00:17:24,560 Speaker 1: beavers and beaver numbers increased. And between the wolves changing 320 00:17:24,600 --> 00:17:28,440 Speaker 1: the essentially the prey species landscape here and the beavers 321 00:17:28,560 --> 00:17:32,440 Speaker 1: altering the ecosystem as well, UH, they both work to 322 00:17:32,560 --> 00:17:36,560 Speaker 1: make room for other species to thrive. Wolves killed coyotes 323 00:17:36,880 --> 00:17:40,040 Speaker 1: and and this allowed rabbit and mice populations to begin 324 00:17:40,080 --> 00:17:44,640 Speaker 1: to rise, bringing in hawks, weasels, foxes, badgers carrying birds 325 00:17:45,000 --> 00:17:49,159 Speaker 1: to discavenge. After all of this, bear populations also arose, 326 00:17:49,200 --> 00:17:51,840 Speaker 1: in part because they were now more berries from the 327 00:17:51,880 --> 00:17:54,480 Speaker 1: shrubs that actually were able to grow. And this is 328 00:17:54,520 --> 00:17:57,479 Speaker 1: often expressed in terms of a top predator in an 329 00:17:57,520 --> 00:18:01,040 Speaker 1: ecosystem being a keystone species is a species that's sort 330 00:18:01,080 --> 00:18:04,879 Speaker 1: of like necessary to allow the rest of the ecosystem 331 00:18:05,000 --> 00:18:07,919 Speaker 1: to thrive as it normally would exactly. And so in 332 00:18:07,960 --> 00:18:10,000 Speaker 1: this example of what happens when you put a predator 333 00:18:10,040 --> 00:18:14,960 Speaker 1: back in to an environment, we're essentially seeing environmental collapse 334 00:18:15,000 --> 00:18:18,600 Speaker 1: in reverse. UH. What what we're talking about here is 335 00:18:18,640 --> 00:18:23,199 Speaker 1: widespread trophic cascades. These are ecological changes that start at 336 00:18:23,200 --> 00:18:25,960 Speaker 1: the top of a food chain, UH, and the spiral 337 00:18:26,040 --> 00:18:29,080 Speaker 1: all the way down. So yeah, apex predators are not 338 00:18:29,119 --> 00:18:32,359 Speaker 1: just monsters that live atop you know, a mountain of 339 00:18:32,440 --> 00:18:35,080 Speaker 1: bones and feast on the you know, the riches of 340 00:18:35,119 --> 00:18:36,960 Speaker 1: the things that it preys upon, and like some sort 341 00:18:37,000 --> 00:18:41,080 Speaker 1: of storybook monster. Now that the mountain wilds have have 342 00:18:41,200 --> 00:18:44,080 Speaker 1: evolved with it, and then for everything depends on the 343 00:18:44,080 --> 00:18:47,720 Speaker 1: predators for balance. Yeah, there is a sort of mythological 344 00:18:47,840 --> 00:18:51,240 Speaker 1: model of the predator as oppressor. It's almost like the 345 00:18:51,240 --> 00:18:54,760 Speaker 1: predator is the tyrant king of the animal kingdom because 346 00:18:54,840 --> 00:18:58,440 Speaker 1: it preys on other animals. But really the the oppressor, 347 00:18:58,480 --> 00:19:02,080 Speaker 1: the tyrant ruler of the animal kingdom is the finitude 348 00:19:02,080 --> 00:19:06,320 Speaker 1: of energy, is the scarcity of resources, and the predator 349 00:19:06,359 --> 00:19:09,400 Speaker 1: is subject to that too. And you remove the predator, 350 00:19:09,560 --> 00:19:12,720 Speaker 1: it's not the case that all other organisms necessarily do 351 00:19:12,840 --> 00:19:15,199 Speaker 1: well if the predator is gone. Instead of what you 352 00:19:15,200 --> 00:19:18,200 Speaker 1: find is that the tyrnt of energy scarcity and food 353 00:19:18,200 --> 00:19:22,439 Speaker 1: resource scarcity and all of that expresses itself in new ways, 354 00:19:22,520 --> 00:19:26,119 Speaker 1: begins to to oppress organisms in ways that didn't happen 355 00:19:26,160 --> 00:19:28,520 Speaker 1: when the predator was there. Yeah. I mean, as we've 356 00:19:28,560 --> 00:19:31,800 Speaker 1: touched on before, it's not like if you're they've ex predator, 357 00:19:31,960 --> 00:19:35,040 Speaker 1: it's just fat city. Um. You know, the life of 358 00:19:35,040 --> 00:19:38,159 Speaker 1: a predator also is filled with challenges and has a 359 00:19:38,240 --> 00:19:40,320 Speaker 1: fragility to it. Yeah. I mean when you when you 360 00:19:40,320 --> 00:19:43,200 Speaker 1: see an image of a predator chasing prey, you should 361 00:19:43,240 --> 00:19:45,600 Speaker 1: think the praise life is on the line, but the 362 00:19:45,600 --> 00:19:48,240 Speaker 1: predator's life is also very likely on the line. The 363 00:19:48,280 --> 00:19:51,840 Speaker 1: predator needs that energy to to survive, and if they 364 00:19:51,880 --> 00:19:53,919 Speaker 1: don't make a catch soon, they might not survive the 365 00:19:53,960 --> 00:19:57,360 Speaker 1: next winter exactly. And that's not even taking into account 366 00:19:57,560 --> 00:20:01,680 Speaker 1: humans hunting you towards extinction or making you know, exploited 367 00:20:01,760 --> 00:20:05,280 Speaker 1: movies about you attacking you know, um um nude bathers 368 00:20:05,359 --> 00:20:08,920 Speaker 1: or something. Yeah, I mean, I think about the vilification 369 00:20:09,000 --> 00:20:12,600 Speaker 1: of sharks. Uh. I often think of the vilification of 370 00:20:12,640 --> 00:20:16,800 Speaker 1: sharks as a thing in the past, you know. I think, like, okay, 371 00:20:16,920 --> 00:20:19,040 Speaker 1: jaws came out, and then there was a brief period 372 00:20:19,040 --> 00:20:21,919 Speaker 1: in which people saw sharks as these horrible human eaters 373 00:20:21,960 --> 00:20:24,560 Speaker 1: that had to be destroyed. But I guess my general 374 00:20:24,600 --> 00:20:27,480 Speaker 1: impression is things have gotten better in more recent years. 375 00:20:27,480 --> 00:20:31,000 Speaker 1: A conservation mindset is caught on. People know better than 376 00:20:31,040 --> 00:20:33,480 Speaker 1: to suggest we should just run around killing sharks and 377 00:20:33,600 --> 00:20:38,720 Speaker 1: other marine predators. But that's not always the case, even recently, 378 00:20:38,800 --> 00:20:42,480 Speaker 1: even beyond just pure poaching there have been public campaigns 379 00:20:42,520 --> 00:20:46,959 Speaker 1: against shark populations and intentional efforts to kill sharks in 380 00:20:47,000 --> 00:20:50,359 Speaker 1: certain areas. Robert, have you ever read about shark drum 381 00:20:50,440 --> 00:20:54,160 Speaker 1: lines before this? No, but they sound pretty groovy. Yeah, 382 00:20:54,280 --> 00:20:56,800 Speaker 1: they're not so groovy. This is the thing I didn't 383 00:20:56,840 --> 00:20:59,040 Speaker 1: know about before I was reading about this. But it's 384 00:20:59,160 --> 00:21:01,960 Speaker 1: uh so it's a lead ethal trap to capture and 385 00:21:02,040 --> 00:21:05,159 Speaker 1: kill sharks. Just one example is I was looking at 386 00:21:05,160 --> 00:21:11,280 Speaker 1: a paper from about how in the government of Western 387 00:21:11,359 --> 00:21:15,480 Speaker 1: Australia decided that sharks represented a threat to human safety 388 00:21:15,520 --> 00:21:18,320 Speaker 1: to swimming around beaches, so they elected to put out 389 00:21:18,320 --> 00:21:21,360 Speaker 1: these drum lines to kill the sharks in those areas 390 00:21:21,400 --> 00:21:24,639 Speaker 1: and protect human bathers. And basically the way it works 391 00:21:24,720 --> 00:21:28,159 Speaker 1: is that you have an anchored buoy, and then the 392 00:21:28,200 --> 00:21:31,280 Speaker 1: anchored buoy is connected to what's known as a drum 393 00:21:31,320 --> 00:21:35,080 Speaker 1: line buoy, a floating buoy that itself has a a 394 00:21:35,160 --> 00:21:39,080 Speaker 1: triggering magnet um and then it's got a hook that's 395 00:21:39,160 --> 00:21:41,639 Speaker 1: baited and so the sharks go and bite the hook 396 00:21:41,680 --> 00:21:44,080 Speaker 1: and then they get stuck, and then it sends off 397 00:21:44,119 --> 00:21:46,800 Speaker 1: a signal to let people know, Okay, we've caught one. 398 00:21:47,680 --> 00:21:50,119 Speaker 1: Uh And so yeah, there were just these traps set up, 399 00:21:50,119 --> 00:21:52,520 Speaker 1: and there was a great controversy about it in Australia 400 00:21:52,600 --> 00:21:55,119 Speaker 1: because there was obviously, you know, people were saying, like 401 00:21:55,200 --> 00:21:57,240 Speaker 1: we we don't need to be killing sharks. Maybe it 402 00:21:57,240 --> 00:21:59,280 Speaker 1: would be better to change the place as we swim 403 00:21:59,320 --> 00:22:01,800 Speaker 1: than to just kill all these animals. Yeah, that does 404 00:22:01,840 --> 00:22:05,320 Speaker 1: not sound good. I I was thinking of shark drum circles. 405 00:22:05,520 --> 00:22:07,359 Speaker 1: That would be a different scenario. Well wait, now, if 406 00:22:07,359 --> 00:22:09,800 Speaker 1: it's a drum line in that, in that like marching band, 407 00:22:09,880 --> 00:22:12,280 Speaker 1: like marching drums, Yeah, well that would be good too, 408 00:22:12,320 --> 00:22:15,200 Speaker 1: but not very groovy. That's more. You know, it's a 409 00:22:15,160 --> 00:22:17,280 Speaker 1: little it's a little more straight laced. Yeah, you gotta 410 00:22:17,320 --> 00:22:21,600 Speaker 1: be worried when sharks start doing military formations. But whether 411 00:22:21,720 --> 00:22:24,800 Speaker 1: I mean, whether due to deliberate human persecution or not. 412 00:22:25,080 --> 00:22:27,920 Speaker 1: Lots of predators and scavengers we know, have seen drastic 413 00:22:27,960 --> 00:22:32,040 Speaker 1: declining populations in the past few hundred years. According to 414 00:22:32,080 --> 00:22:35,000 Speaker 1: a study we're about to talk about by O'Brien and 415 00:22:35,359 --> 00:22:39,000 Speaker 1: and co authors, leopards have vanished from about seventy eight 416 00:22:39,040 --> 00:22:42,240 Speaker 1: percent of their historic range. African lions are on the 417 00:22:42,280 --> 00:22:46,600 Speaker 1: decline outside of protected areas of twenty two vulture species 418 00:22:46,640 --> 00:22:49,840 Speaker 1: on Earth seventeen or in decline due to human activities. 419 00:22:50,280 --> 00:22:53,479 Speaker 1: So predators and scavengers are having a tougher time than 420 00:22:53,520 --> 00:22:57,600 Speaker 1: they've ever had, which is dangerous. And one of the 421 00:22:57,880 --> 00:23:00,560 Speaker 1: key points really this episode is that, yeah, you can't. 422 00:23:00,760 --> 00:23:03,520 Speaker 1: It's not just the monster disappearing from but it kind 423 00:23:03,520 --> 00:23:05,359 Speaker 1: of is you take the monster out of a story, 424 00:23:05,560 --> 00:23:07,000 Speaker 1: and then how much of a story do you really have? 425 00:23:07,080 --> 00:23:10,080 Speaker 1: If you take Grendel out of Bowolf? What do you have? 426 00:23:10,480 --> 00:23:12,320 Speaker 1: You're left with just kind of a boring story about 427 00:23:12,320 --> 00:23:16,080 Speaker 1: a rampaging psychopath. But if you and likewise, if you 428 00:23:16,119 --> 00:23:18,880 Speaker 1: take the the apex predators out of the scenario here, 429 00:23:19,160 --> 00:23:21,880 Speaker 1: then it then it results in this kind of environmental 430 00:23:22,160 --> 00:23:24,360 Speaker 1: collapse that we've discussed. Well, here's what I'd like to say. 431 00:23:24,359 --> 00:23:26,760 Speaker 1: I'd like to see an alternate version of Beowulf like 432 00:23:26,880 --> 00:23:32,160 Speaker 1: John Gardner's Grendel. Except what happens is after Beowulf kills Grendel, uh, 433 00:23:32,280 --> 00:23:36,080 Speaker 1: the deer that Grendel normally eat overpopulate the forest and 434 00:23:36,119 --> 00:23:38,159 Speaker 1: they spread a lot of disease, and everybody in her 435 00:23:38,200 --> 00:23:40,440 Speaker 1: off cars meat Hall dies because they all get tick 436 00:23:40,520 --> 00:23:45,920 Speaker 1: born diseases. Right it, man, that's the realistic outcome. Well, 437 00:23:45,920 --> 00:23:48,400 Speaker 1: maybe we'll explore examples like that when we come back 438 00:23:48,400 --> 00:23:52,919 Speaker 1: from a break. Thank alright, we're back, all right. So 439 00:23:53,000 --> 00:23:55,520 Speaker 1: I was looking at a paper in Nature, Ecology and 440 00:23:55,520 --> 00:23:59,359 Speaker 1: Evolution published this year called the Contribution of Predators and 441 00:23:59,440 --> 00:24:04,880 Speaker 1: Scavengers to Human well Being by Christopher J. O'Brien, Alexander Braskowski, 442 00:24:05,080 --> 00:24:10,359 Speaker 1: Hawthorne Bear, Neil Carter, James Watson, and Eve McDonald madden. 443 00:24:11,160 --> 00:24:13,399 Speaker 1: And so the basic idea of this paper is that 444 00:24:13,440 --> 00:24:16,439 Speaker 1: it's a huge literature review. It looks at papers from 445 00:24:16,480 --> 00:24:18,440 Speaker 1: you know, all over the place to try to find 446 00:24:18,480 --> 00:24:23,359 Speaker 1: documented examples of ways that predators and scavengers make human 447 00:24:23,440 --> 00:24:27,639 Speaker 1: life better or removing them demonstrably makes human life worse. 448 00:24:28,440 --> 00:24:30,399 Speaker 1: And so they start off talking about how predators and 449 00:24:30,440 --> 00:24:33,679 Speaker 1: scavengers provide lots of benefits to humankind and we rarely 450 00:24:33,760 --> 00:24:37,439 Speaker 1: recognize this, like humans and wild predators have undergone a 451 00:24:37,560 --> 00:24:41,080 Speaker 1: process of coadaptation in the past few thousand years, with 452 00:24:41,200 --> 00:24:43,840 Speaker 1: some beneficial outcomes for both. But this state of co 453 00:24:44,000 --> 00:24:48,520 Speaker 1: adaptation depends on human tolerance of these animals, and as 454 00:24:48,560 --> 00:24:51,119 Speaker 1: we've seen, this tolerance is not given a lot of times. 455 00:24:51,119 --> 00:24:54,480 Speaker 1: We'll put out the drum lines will do wolf culling uh, 456 00:24:54,520 --> 00:24:58,359 Speaker 1: and without predators and scavengers our world would be much 457 00:24:58,520 --> 00:25:01,959 Speaker 1: much worse. Ecological research has shown this in many ways. 458 00:25:02,280 --> 00:25:07,399 Speaker 1: So for example, predators regulate the populations of herbivores below 459 00:25:07,440 --> 00:25:10,320 Speaker 1: them on the food chain, which if allowed to grow unchecked, 460 00:25:10,400 --> 00:25:14,639 Speaker 1: could easily overgraze and destroy plant species important to human life. 461 00:25:15,560 --> 00:25:18,879 Speaker 1: Another thing is that scavengers consume and dispose of animal 462 00:25:18,960 --> 00:25:23,399 Speaker 1: carcasses and organic ways that we do not want piling up. Uh. 463 00:25:23,440 --> 00:25:27,000 Speaker 1: The loss of predators and scavengers can destroy ecosystems by 464 00:25:27,040 --> 00:25:31,000 Speaker 1: causing quote a loss of plant species, diversity, biomass, and 465 00:25:31,040 --> 00:25:35,959 Speaker 1: productivity that in turn effect disease dynamics, carbon sequestration, and 466 00:25:36,000 --> 00:25:38,639 Speaker 1: wildfire risk and Robert this seems to be along the 467 00:25:38,680 --> 00:25:40,600 Speaker 1: lines of what you were talking about with the wolves 468 00:25:40,600 --> 00:25:45,199 Speaker 1: and Yellowstone. And then also sometimes you can estimate the 469 00:25:45,359 --> 00:25:48,560 Speaker 1: health of an entire ecosystem simply by looking at how 470 00:25:48,560 --> 00:25:51,600 Speaker 1: the top predators and scavengers are doing like they will 471 00:25:51,640 --> 00:25:53,879 Speaker 1: be They will sometimes almost be like a data sheet 472 00:25:54,480 --> 00:25:56,720 Speaker 1: you can check out to see what everything else on 473 00:25:56,760 --> 00:25:59,119 Speaker 1: the food chain is looking like. And yet, as we 474 00:25:59,160 --> 00:26:02,359 Speaker 1: mentioned earlier, lots of predator and scavenger species around the 475 00:26:02,359 --> 00:26:05,160 Speaker 1: world are still in decline due to human behavior, including 476 00:26:05,200 --> 00:26:09,679 Speaker 1: everything from poaching to culling, to ecosystem destruction and to 477 00:26:09,760 --> 00:26:13,320 Speaker 1: climate change. And there are actually documented cases where people 478 00:26:13,359 --> 00:26:18,280 Speaker 1: intentionally tolerate predators and scavengers, especially scavengers, because they're aware 479 00:26:18,280 --> 00:26:21,800 Speaker 1: of their benefits. Like the authors talk about how uh scavenger, 480 00:26:21,920 --> 00:26:25,560 Speaker 1: the scavenger of the Egyptian vulture. This is a bird 481 00:26:25,640 --> 00:26:28,000 Speaker 1: species that's suffering and decline around the world, but there 482 00:26:28,040 --> 00:26:31,959 Speaker 1: are places in Socotra, Yemen where they're doing well because 483 00:26:31,960 --> 00:26:34,920 Speaker 1: the people are aware of the benefits they provide, specifically 484 00:26:34,960 --> 00:26:38,640 Speaker 1: removing livestock and human waste, which if not removed, can 485 00:26:38,680 --> 00:26:42,480 Speaker 1: cause water contamination. And that's no joke. The risks of 486 00:26:42,560 --> 00:26:45,639 Speaker 1: water contamination due to waste runoff are serious, and this 487 00:26:45,680 --> 00:26:48,520 Speaker 1: type of contamination is not just something that say, happens 488 00:26:48,520 --> 00:26:50,840 Speaker 1: in Yemen. It can happen all over the world and 489 00:26:50,880 --> 00:26:53,760 Speaker 1: often does. I found a New York Times article from 490 00:26:53,760 --> 00:26:56,720 Speaker 1: two thousand nine by Charles do Hig about how the 491 00:26:56,800 --> 00:27:01,879 Speaker 1: residents around Morrison, Wisconsin were sickened contamination of water resources 492 00:27:01,920 --> 00:27:06,720 Speaker 1: from agricultural waste basically manure breeds, parasites and bacteria which 493 00:27:06,800 --> 00:27:09,880 Speaker 1: flow into the groundwater. And to read a quote from 494 00:27:09,920 --> 00:27:13,000 Speaker 1: that article quote in Morrison, more than a hundred wells 495 00:27:13,040 --> 00:27:16,480 Speaker 1: were polluted by agricultural runoff within a few months, according 496 00:27:16,480 --> 00:27:20,920 Speaker 1: the local officials, as parasites and bacteria seeped into drinking water, 497 00:27:21,240 --> 00:27:26,080 Speaker 1: residents suffered from chronic diarrhea, stomach illnesses, and severe ear infections. 498 00:27:26,720 --> 00:27:29,160 Speaker 1: And then they quote a woman living in the area 499 00:27:29,240 --> 00:27:31,680 Speaker 1: who said, sometimes it smells like a barn coming out 500 00:27:31,720 --> 00:27:34,959 Speaker 1: of the faucet. Now, that's that's not always as much 501 00:27:34,960 --> 00:27:36,800 Speaker 1: of a bad sign. Robert, have you ever smelled like 502 00:27:36,840 --> 00:27:41,399 Speaker 1: kind of FARTI smelling water from a faucet somewhere? Um, 503 00:27:41,440 --> 00:27:43,040 Speaker 1: I mean, I guess sometimes you know, you're at the 504 00:27:43,040 --> 00:27:45,800 Speaker 1: beach and the you know, beech water can have a 505 00:27:45,840 --> 00:27:47,520 Speaker 1: certain odor. I'm not sure if I would say it's, 506 00:27:47,520 --> 00:27:50,680 Speaker 1: you know, like a barn smell or anything, but I'm 507 00:27:50,720 --> 00:27:52,639 Speaker 1: trying to remember the last place I was where the 508 00:27:52,640 --> 00:27:55,280 Speaker 1: tap water was like that. But I've definitely smelled it before. 509 00:27:55,480 --> 00:27:57,920 Speaker 1: It is a little disconcerting, even if you know it's 510 00:27:57,960 --> 00:27:59,840 Speaker 1: probably safe. Like you go to brush your teeth and 511 00:28:00,359 --> 00:28:03,560 Speaker 1: and it smells like toots for real. Zase has haunted 512 00:28:03,560 --> 00:28:06,200 Speaker 1: your bathroom. I can't believe he's summoned toots for realities. 513 00:28:06,520 --> 00:28:09,399 Speaker 1: But now, of course the reverse is also true. There 514 00:28:09,400 --> 00:28:13,639 Speaker 1: are places where the water certainly seems appetizing, but it's 515 00:28:13,720 --> 00:28:16,840 Speaker 1: not actually drinkable exactly. So anything you can do to 516 00:28:16,960 --> 00:28:22,280 Speaker 1: manage runoff of dangerous waste running into water sources is big, 517 00:28:22,320 --> 00:28:25,280 Speaker 1: and so a lot of times predators and scavengers, particularly 518 00:28:25,280 --> 00:28:30,280 Speaker 1: scavengers can do that. Another example is the Tigray region 519 00:28:30,320 --> 00:28:33,520 Speaker 1: of Ethiopia, which has spotted hyenas, and the humans of 520 00:28:33,520 --> 00:28:36,480 Speaker 1: this region tend to tolerate them because the hyenas eat 521 00:28:36,480 --> 00:28:40,000 Speaker 1: the carcasses of dead livestock as well as unburied human corpses, 522 00:28:40,040 --> 00:28:43,160 Speaker 1: which reduces the risk of disease and the settlements, And 523 00:28:43,200 --> 00:28:45,600 Speaker 1: so disease and human settlements is a big part of 524 00:28:45,640 --> 00:28:49,200 Speaker 1: the benefits provided by predators and scavengers. Some of the 525 00:28:49,200 --> 00:28:53,320 Speaker 1: biggest diseases were worried about in the world are zoonotic diseases, 526 00:28:53,400 --> 00:28:57,800 Speaker 1: diseases that have animal vectors like the zekeovirus UH, strains 527 00:28:57,840 --> 00:29:00,760 Speaker 1: of flu you know, avian flu, swine flu UH, the 528 00:29:00,800 --> 00:29:04,680 Speaker 1: Ebola virus, lime disease, and so there are several ways 529 00:29:04,720 --> 00:29:08,760 Speaker 1: predators can reduce chances that we catch diseases from animals, 530 00:29:08,760 --> 00:29:11,440 Speaker 1: and one of them is by reducing the density of 531 00:29:11,480 --> 00:29:15,880 Speaker 1: host populations. And so the way that works is this, um, say, 532 00:29:15,880 --> 00:29:18,480 Speaker 1: it's flu season. You want to avoid catching the flu? 533 00:29:18,720 --> 00:29:20,800 Speaker 1: Uh what? What what's a good day look like if 534 00:29:20,800 --> 00:29:22,560 Speaker 1: you want to avoid catching the flu? Is it like 535 00:29:22,640 --> 00:29:26,520 Speaker 1: going out to the cannibal corpse concert and washing in 536 00:29:26,560 --> 00:29:28,560 Speaker 1: the pit? Or is it going for a walk in 537 00:29:28,600 --> 00:29:31,400 Speaker 1: the woods by yourself? Uh? Well, if you don't want 538 00:29:31,400 --> 00:29:34,320 Speaker 1: to catch the flu, yeah, go in the woods by yourself. Yeah, exactly. 539 00:29:34,400 --> 00:29:39,240 Speaker 1: I mean density, literal population density, how much organisms of 540 00:29:39,320 --> 00:29:42,960 Speaker 1: the conspecifics spend, how much time they spend around each other, 541 00:29:43,040 --> 00:29:46,040 Speaker 1: how close they get, how much they contact the same surfaces, 542 00:29:46,160 --> 00:29:48,920 Speaker 1: and all that that's directly related to the spread of 543 00:29:48,960 --> 00:29:51,800 Speaker 1: the disease. And so if you reduce the density of 544 00:29:51,800 --> 00:29:56,400 Speaker 1: a population, you reduce the rate at which the disease spreads. So, so, 545 00:29:56,440 --> 00:30:00,200 Speaker 1: to go back to our our Yellowstone example, like, if 546 00:30:00,240 --> 00:30:04,240 Speaker 1: you have the deer just um, just unopposed by predators, 547 00:30:04,360 --> 00:30:07,200 Speaker 1: they're just hanging out all over with each other, and 548 00:30:07,280 --> 00:30:10,480 Speaker 1: that that creates a more potential for something like this 549 00:30:10,560 --> 00:30:14,360 Speaker 1: to take off. But if they're if they're patrolled by predators, 550 00:30:14,600 --> 00:30:17,120 Speaker 1: then they're going to be perhaps more fragmented and fewer 551 00:30:17,120 --> 00:30:19,960 Speaker 1: in number because of the members of their uh their 552 00:30:20,000 --> 00:30:22,720 Speaker 1: species that are picked off by the predators. Exactly, thinning 553 00:30:22,720 --> 00:30:26,920 Speaker 1: out the population of deer could potentially limit the spread 554 00:30:27,040 --> 00:30:30,720 Speaker 1: of dearborn diseases. And then, of course there's also the 555 00:30:30,760 --> 00:30:33,360 Speaker 1: more direct effect that if you limit the population of 556 00:30:33,480 --> 00:30:36,920 Speaker 1: an animals ay dear, it will be less likely that 557 00:30:37,040 --> 00:30:39,880 Speaker 1: any given human in the area is exposed to a deer, 558 00:30:40,080 --> 00:30:42,720 Speaker 1: and thus less likely the disease spreads from the deer 559 00:30:42,760 --> 00:30:45,760 Speaker 1: to the person. Just a few examples cited by the authors. 560 00:30:45,800 --> 00:30:48,760 Speaker 1: One is that around Sanjay Gandhi National Park in India, 561 00:30:49,200 --> 00:30:52,880 Speaker 1: leopard predation on dogs has greatly reduced the frequency of 562 00:30:52,960 --> 00:30:55,440 Speaker 1: dog bites in the region and thus lowered the incidents 563 00:30:55,480 --> 00:31:00,280 Speaker 1: of rabies transmission to humans. Researchers think that generalist predators 564 00:31:00,360 --> 00:31:03,280 Speaker 1: like foxes can help protect people from lime disease by 565 00:31:03,320 --> 00:31:07,200 Speaker 1: controlling populations of mice, since mice or a primary reservoir 566 00:31:07,240 --> 00:31:10,920 Speaker 1: for ticks carrying the disease, and then we don't think 567 00:31:11,000 --> 00:31:14,920 Speaker 1: to be thankful to frog tadpoles, but tadpoles probably play 568 00:31:14,920 --> 00:31:17,520 Speaker 1: a really important role in limiting the worldwide risk of 569 00:31:17,560 --> 00:31:21,760 Speaker 1: mosquito born diseases like dingay fever because they eat mosquito eggs. 570 00:31:22,720 --> 00:31:24,520 Speaker 1: Of course, I mean we've we've kind of looked at 571 00:31:24,520 --> 00:31:26,600 Speaker 1: this and from the opposite direction that like, you know, 572 00:31:26,680 --> 00:31:29,520 Speaker 1: why do we have mosquito as well, because actually mosquito 573 00:31:29,600 --> 00:31:33,000 Speaker 1: larva are an important part of many, uh many diets 574 00:31:33,560 --> 00:31:35,600 Speaker 1: out there, And yeah, it makes sense too that you'd 575 00:31:35,600 --> 00:31:38,520 Speaker 1: want the animals that eat those larva otherwise explosion of 576 00:31:38,560 --> 00:31:42,840 Speaker 1: mosquitoes exactly. But also predators and scavengers can reduce our 577 00:31:42,920 --> 00:31:46,719 Speaker 1: disease risk through a mechanism known as competitive exclusion, and 578 00:31:46,800 --> 00:31:51,080 Speaker 1: this is basically out competing disease hosts for resources or territory. 579 00:31:51,360 --> 00:31:54,560 Speaker 1: So an example here would be vultures sometimes outcompete stray 580 00:31:54,640 --> 00:31:58,120 Speaker 1: dogs for the main scavenging niche in and around human settlements, 581 00:31:58,400 --> 00:32:00,280 Speaker 1: and this can be a good thing for reducing stray 582 00:32:00,360 --> 00:32:03,640 Speaker 1: dog bites on human and human exposure to rabies. And 583 00:32:03,680 --> 00:32:07,960 Speaker 1: then sometimes removing natural predators and scavengers from a native 584 00:32:08,000 --> 00:32:12,720 Speaker 1: ecosystem can lead to their automatic replacement by other predators 585 00:32:12,720 --> 00:32:15,760 Speaker 1: and scavengers, which might be much worse for human health. 586 00:32:16,160 --> 00:32:20,440 Speaker 1: For example, the author's right that scavengers can replace vultures, 587 00:32:20,480 --> 00:32:23,240 Speaker 1: and the ones that replace them can include gulls, rats, 588 00:32:23,280 --> 00:32:26,120 Speaker 1: and invasive foxes, all of which can pose risks to 589 00:32:26,200 --> 00:32:30,040 Speaker 1: humans and can themselves be disease hosts because of its nature. 590 00:32:30,080 --> 00:32:32,840 Speaker 1: If there's a meal to be had, something is going 591 00:32:32,920 --> 00:32:34,960 Speaker 1: to get in and eat it, And if you wipe 592 00:32:35,000 --> 00:32:38,520 Speaker 1: out the predator that's most highly evolved to deal with it, 593 00:32:38,960 --> 00:32:40,800 Speaker 1: then somebody else is going to take a shot at it. 594 00:32:40,880 --> 00:32:43,760 Speaker 1: Wouldn't you rather the the predator that's there to eat 595 00:32:43,760 --> 00:32:46,320 Speaker 1: the meal be the one that the ecosystem is already 596 00:32:46,320 --> 00:32:49,959 Speaker 1: adapted around, unless there's stability to the ecosystem. So there 597 00:32:50,000 --> 00:32:53,200 Speaker 1: are tons of ways that predators and scavengers limit human 598 00:32:53,280 --> 00:32:57,960 Speaker 1: exposure to diseases. But another thing that's interesting is the 599 00:32:58,000 --> 00:33:02,040 Speaker 1: way that predators apparently increase agricultural output. I mean, a 600 00:33:02,120 --> 00:33:06,200 Speaker 1: huge amount of agricultural wealth every year is lost to 601 00:33:06,880 --> 00:33:10,360 Speaker 1: pest species that consume crops. The author is a side 602 00:33:10,400 --> 00:33:15,320 Speaker 1: to study estimating that ten of global financial losses and 603 00:33:15,360 --> 00:33:18,840 Speaker 1: agricultural wealth are due to animal species that come and 604 00:33:18,880 --> 00:33:20,840 Speaker 1: eat the crops, and that that's a huge amount of 605 00:33:20,880 --> 00:33:24,400 Speaker 1: lost wealth over the whole globe, and so current methods 606 00:33:24,440 --> 00:33:27,280 Speaker 1: of preventing that kind of loss are not always great, right. 607 00:33:27,400 --> 00:33:31,960 Speaker 1: They often consist of chemical pesticides, which frankly are something 608 00:33:32,000 --> 00:33:34,560 Speaker 1: that that we're still studying and we don't know all 609 00:33:34,600 --> 00:33:37,600 Speaker 1: of the negative effects of, you know, many years down 610 00:33:37,600 --> 00:33:41,080 Speaker 1: the road. Yeah, but but I mean ultimately that the uh, 611 00:33:41,800 --> 00:33:43,920 Speaker 1: the argument here is pretty simple, like, if something is 612 00:33:43,920 --> 00:33:47,840 Speaker 1: eating your crops, what better way to prevent that from 613 00:33:47,880 --> 00:33:52,000 Speaker 1: happening than having a naturally occurring predator to drive them off. Exactly, 614 00:33:52,280 --> 00:33:54,560 Speaker 1: I'm trying to keep birds from eating all the figs 615 00:33:54,560 --> 00:33:56,880 Speaker 1: in my fig tree, and all I have is like 616 00:33:56,920 --> 00:34:00,000 Speaker 1: a fake owl to set up there next to which, 617 00:34:00,240 --> 00:34:02,560 Speaker 1: Oh you have a scare owl? I do? Yeah? Or 618 00:34:02,600 --> 00:34:05,240 Speaker 1: wait to scarecrow. You have a scarecrow owl? Yes, it's 619 00:34:05,280 --> 00:34:07,640 Speaker 1: it's not a replican owl like the Fabulous Woman having 620 00:34:07,680 --> 00:34:10,160 Speaker 1: Blade Runner. That one was too expensive, minds the ten 621 00:34:10,160 --> 00:34:14,040 Speaker 1: dollar model. Its head doesn't even bob. But quick poll, 622 00:34:14,080 --> 00:34:17,719 Speaker 1: do you have a favorite killer scarecrow movie? Oh? I 623 00:34:17,719 --> 00:34:21,759 Speaker 1: mean they're all kind of terrible, aren't they. That's a 624 00:34:21,800 --> 00:34:24,600 Speaker 1: subgenre that never really caught on, Like you might think, well, 625 00:34:24,640 --> 00:34:26,800 Speaker 1: there's a lot of potential. They're they're they're they're so creepy. 626 00:34:26,840 --> 00:34:29,000 Speaker 1: I mean, I guess I love the scarecrow batman villain 627 00:34:29,000 --> 00:34:31,480 Speaker 1: if he counts. Oh yeah, he's a good one. Yeah 628 00:34:31,480 --> 00:34:34,759 Speaker 1: he was. Well, I liked him in the animated series. Yes, 629 00:34:34,840 --> 00:34:36,680 Speaker 1: he was a lot of fun in that too. Yeah. 630 00:34:36,719 --> 00:34:39,399 Speaker 1: I guess there's some some scarecrow movies coming to mind, 631 00:34:39,400 --> 00:34:42,960 Speaker 1: but I feel like it was a little icky. Oh yeah, yeah, yeah, 632 00:34:43,040 --> 00:34:45,080 Speaker 1: that's the main one that sticks. They often tend to be. 633 00:34:45,120 --> 00:34:48,440 Speaker 1: I what I'd much rather have is an actual owl, though, 634 00:34:48,880 --> 00:34:51,400 Speaker 1: that would just live in my backyard and uh and 635 00:34:51,480 --> 00:34:54,359 Speaker 1: scare away, you know, an appropriate number of predators. They 636 00:34:54,360 --> 00:34:56,400 Speaker 1: can have some of the figs. I'm not greedy. I 637 00:34:56,440 --> 00:34:57,920 Speaker 1: just want to make sure that I have some too well. 638 00:34:57,960 --> 00:34:59,840 Speaker 1: I mean, predators like that are important not just for 639 00:35:00,000 --> 00:35:02,920 Speaker 1: your own personal figs, but for for the crops that 640 00:35:03,000 --> 00:35:06,160 Speaker 1: sustain economies and that that feed people and that are 641 00:35:06,440 --> 00:35:08,600 Speaker 1: turned into animal feed and all that kind of stuff that, 642 00:35:08,640 --> 00:35:13,279 Speaker 1: you know, the backbone of an agricultural economy. Like it 643 00:35:13,360 --> 00:35:17,440 Speaker 1: has often been speculated by by researchers that species like 644 00:35:17,600 --> 00:35:23,200 Speaker 1: bats and some birds are the most economically important non 645 00:35:23,239 --> 00:35:27,160 Speaker 1: domesticated animals on Earth, and this is because of all 646 00:35:27,200 --> 00:35:29,880 Speaker 1: of the pest control that they naturally do in the 647 00:35:29,920 --> 00:35:33,520 Speaker 1: wild on pests that would otherwise eat all of our crops. 648 00:35:33,800 --> 00:35:36,960 Speaker 1: And so the author's site research that indicates like the 649 00:35:37,000 --> 00:35:40,680 Speaker 1: densities of pests like the corn earworm or the cucumber 650 00:35:40,719 --> 00:35:44,880 Speaker 1: beetle can be suppressed by almost sixty percent by back communities, 651 00:35:44,920 --> 00:35:47,320 Speaker 1: and bats can also help suppress the spread of fungus 652 00:35:47,320 --> 00:35:50,359 Speaker 1: in corn crops, and so this leads to like real 653 00:35:50,400 --> 00:35:54,040 Speaker 1: dollars saved and and predatory birds do similar things. They've 654 00:35:54,080 --> 00:35:57,359 Speaker 1: been shown to be valuable in cocao plantations, saving more 655 00:35:57,400 --> 00:36:00,680 Speaker 1: than thirty percent of crop output. Speaking of owls, the 656 00:36:00,760 --> 00:36:04,279 Speaker 1: barn owl is a huge lifesaver when it comes to 657 00:36:04,400 --> 00:36:08,520 Speaker 1: saving agricultural output um. Apparently, according to the authors quote, 658 00:36:08,520 --> 00:36:11,920 Speaker 1: the barn owl Tito alba has a diet made up 659 00:36:11,960 --> 00:36:18,920 Speaker 1: of about agricultural pest species in agricultural fields of California. Wow, 660 00:36:19,680 --> 00:36:22,200 Speaker 1: barn owls are a great species to bring up in 661 00:36:22,200 --> 00:36:24,920 Speaker 1: this because the barn owl, of course is normally going 662 00:36:24,960 --> 00:36:28,160 Speaker 1: to set up shop and nest in um and it's 663 00:36:28,280 --> 00:36:31,000 Speaker 1: essentially like a hollowed out tree or tree trunk kind 664 00:36:31,040 --> 00:36:34,520 Speaker 1: of in a situation. But now they're co adapted. But 665 00:36:34,640 --> 00:36:37,560 Speaker 1: that's right, they they they also are fine with sant 666 00:36:37,560 --> 00:36:42,239 Speaker 1: abandoned barn because this also perfectly replicates the environment they need. 667 00:36:42,600 --> 00:36:45,839 Speaker 1: But it's kind of a domino effect though, right as 668 00:36:46,040 --> 00:36:48,880 Speaker 1: as humans expand, suddenly that there are fewer places for 669 00:36:48,920 --> 00:36:51,359 Speaker 1: them to naturally build their nest. And if you don't 670 00:36:51,400 --> 00:36:54,160 Speaker 1: have you know, empty barn sitting around, then they also 671 00:36:54,200 --> 00:36:56,520 Speaker 1: don't have a place to build their nests. But this 672 00:36:56,560 --> 00:36:59,919 Speaker 1: has led to many people to put up nesting box 673 00:37:00,200 --> 00:37:03,759 Speaker 1: is for barn owls, which is essentially just a uh 674 00:37:03,920 --> 00:37:06,760 Speaker 1: what it sounds like a box, like a mini portion 675 00:37:06,800 --> 00:37:08,880 Speaker 1: of a barn that you can just put in the 676 00:37:08,880 --> 00:37:11,200 Speaker 1: top of a tree to encourage them to roost their 677 00:37:11,280 --> 00:37:13,600 Speaker 1: nice I've never heard of that. Yeah, there's a children's 678 00:37:13,600 --> 00:37:16,200 Speaker 1: book about it that's reading it about it about it 679 00:37:16,200 --> 00:37:18,279 Speaker 1: the other day with my son. Now, I will say 680 00:37:18,400 --> 00:37:22,200 Speaker 1: I think probably barn owls are not vilified as much 681 00:37:22,239 --> 00:37:24,719 Speaker 1: as some animals like wolves or Yeah, I think they're 682 00:37:24,719 --> 00:37:28,319 Speaker 1: mainly suffering from you know, incidental habitat loss, which can 683 00:37:28,360 --> 00:37:32,239 Speaker 1: be sufficient enough to eradicate a species. But yeah, they're 684 00:37:32,239 --> 00:37:34,480 Speaker 1: not having a deal on top of that, with people, 685 00:37:34,719 --> 00:37:37,640 Speaker 1: you know, essentially raising their pitchforks against the owls. But 686 00:37:37,680 --> 00:37:41,000 Speaker 1: I mean when it comes to other noticeable larger predators 687 00:37:41,040 --> 00:37:45,960 Speaker 1: like dingoes, even they apparently increase agricultural output, they help 688 00:37:46,000 --> 00:37:49,239 Speaker 1: our farmers too, Like lots of animal. Ranchers obviously don't 689 00:37:49,320 --> 00:37:52,360 Speaker 1: like carnivores like dingoes because sometimes they prey on their herds, 690 00:37:52,440 --> 00:37:57,359 Speaker 1: but sometimes wild carnivores actually protect herds in pastures where 691 00:37:57,400 --> 00:38:01,680 Speaker 1: there are also wild herbivores cause the dingoes or the 692 00:38:01,680 --> 00:38:04,680 Speaker 1: other animals like that reduced the number of wild herbivores 693 00:38:04,920 --> 00:38:08,880 Speaker 1: and thus reduce competition for grazing. So, for example, research 694 00:38:08,920 --> 00:38:11,720 Speaker 1: in Australia is shown that the presence of dingoes can 695 00:38:11,760 --> 00:38:16,560 Speaker 1: increase agricultural production by reducing populations of red kangaroo, which 696 00:38:16,600 --> 00:38:19,600 Speaker 1: compete with livestock for grazing land. And a lot of 697 00:38:19,600 --> 00:38:22,840 Speaker 1: times cattle farmers don't realize this and they'll kill dingoes, 698 00:38:22,960 --> 00:38:27,320 Speaker 1: but it has been estimated the dingoes significantly increase output 699 00:38:27,400 --> 00:38:30,160 Speaker 1: biomass per hectare of land. If you give rid of 700 00:38:30,200 --> 00:38:32,400 Speaker 1: all the dingoes, then you're gonna have to deal with 701 00:38:32,560 --> 00:38:34,480 Speaker 1: all these kangaroos. And what are you gonna do? Just 702 00:38:34,600 --> 00:38:37,759 Speaker 1: keep killing and killing. Well, yeah, probably that's kind of 703 00:38:37,760 --> 00:38:39,719 Speaker 1: what humans do. I guess it could be. Hey, when 704 00:38:39,800 --> 00:38:41,680 Speaker 1: it comes to your garden. They signed a study by 705 00:38:41,719 --> 00:38:44,920 Speaker 1: the way that says research has shown that skunks reduced 706 00:38:44,960 --> 00:38:47,840 Speaker 1: pests in North American gardens and increase the yields of 707 00:38:47,840 --> 00:38:51,040 Speaker 1: those gardens. So you need to get yourself some skunks. Well, 708 00:38:51,040 --> 00:38:54,279 Speaker 1: I've certainly heard the argument for possums based in a 709 00:38:54,360 --> 00:38:57,320 Speaker 1: large part on the number of I believe it's ticks 710 00:38:57,880 --> 00:39:01,520 Speaker 1: that that that the average possible will eat, so they 711 00:39:01,560 --> 00:39:03,840 Speaker 1: meant be much to look look at. But if you 712 00:39:03,840 --> 00:39:06,680 Speaker 1: have a possum in your yard, it's potentially cutting down 713 00:39:06,760 --> 00:39:09,640 Speaker 1: on on some of the pests you would have to 714 00:39:09,640 --> 00:39:11,840 Speaker 1: deal with. Oh man, anything that will get rid of ticks. 715 00:39:13,800 --> 00:39:16,279 Speaker 1: The enemy of my enemy is my friend, even if 716 00:39:16,280 --> 00:39:22,200 Speaker 1: it's a possum. Uh. But what about the enemy of 717 00:39:22,200 --> 00:39:26,080 Speaker 1: my enemy of my enemy, which is your dog or cat? Well, 718 00:39:26,800 --> 00:39:29,080 Speaker 1: you know, collateral damage, I guess. But now this is 719 00:39:29,080 --> 00:39:31,160 Speaker 1: a good point. This is why one of the reasons 720 00:39:31,160 --> 00:39:34,720 Speaker 1: why my cat lives indoors. Now, yeah, I love dogs 721 00:39:34,719 --> 00:39:37,160 Speaker 1: and cats, but I mean it is certainly true that 722 00:39:37,360 --> 00:39:40,400 Speaker 1: that domesticated dogs and cats can really mess up an 723 00:39:40,400 --> 00:39:42,719 Speaker 1: ecosystem if released upon the wild. Yeah, I think about 724 00:39:42,760 --> 00:39:44,279 Speaker 1: this a lot. In our neck of the woods, we 725 00:39:44,320 --> 00:39:47,759 Speaker 1: have a lot of feral cats, pretty common occurrence, I think, 726 00:39:47,880 --> 00:39:50,960 Speaker 1: uh in North America. And yet yeah, they're they are 727 00:39:51,440 --> 00:39:53,920 Speaker 1: they are super, They're little super predators are there in 728 00:39:53,920 --> 00:39:56,520 Speaker 1: their own way, like they are able to just ravage, 729 00:39:56,680 --> 00:40:00,440 Speaker 1: especially the bird population. When we had Jason or the 730 00:40:00,520 --> 00:40:03,239 Speaker 1: local Atlanta Bird Exploding podcast, he talked to us a 731 00:40:03,280 --> 00:40:06,160 Speaker 1: lot about the damage done by just releasing cats and 732 00:40:06,239 --> 00:40:09,600 Speaker 1: letting them go outside. They're driving off our possums and 733 00:40:09,640 --> 00:40:12,839 Speaker 1: they're not eating any of the ticks. It's a disgusting part. 734 00:40:13,320 --> 00:40:15,200 Speaker 1: That's a good point. Why don't the cats just eat 735 00:40:15,239 --> 00:40:18,320 Speaker 1: the ticks directly? That would be great, But of course 736 00:40:18,320 --> 00:40:23,800 Speaker 1: they'll never comply anyway, So uh, we don't stop there. Okay. 737 00:40:23,800 --> 00:40:28,240 Speaker 1: So predators and scavengers clearly reduced disease risk and disease 738 00:40:28,239 --> 00:40:32,319 Speaker 1: spread among animals and among humans. They benefit agriculture, They 739 00:40:32,360 --> 00:40:36,400 Speaker 1: apparently actually benefit human life in urban areas in plenty 740 00:40:36,400 --> 00:40:39,080 Speaker 1: of ways. Like so, so there are plenty of things 741 00:40:39,120 --> 00:40:42,239 Speaker 1: that cause humans and wild animals to come into contact. 742 00:40:42,520 --> 00:40:45,960 Speaker 1: Of course, expanding human settlements and habitat destruction would be 743 00:40:46,040 --> 00:40:47,839 Speaker 1: a big part of that. Yeah, do is to go 744 00:40:47,960 --> 00:40:51,040 Speaker 1: hand in hand. But then, of course animals are often 745 00:40:51,040 --> 00:40:53,880 Speaker 1: attracted to high calorie foods and shelter, and those are 746 00:40:53,920 --> 00:40:57,400 Speaker 1: available in abundance and human settlements. But there are tons 747 00:40:57,400 --> 00:41:01,040 Speaker 1: of ways that predators and scavengers in urban areas, even 748 00:41:01,080 --> 00:41:05,600 Speaker 1: within human settlements, are beneficial, including removing waste and carcasses 749 00:41:05,719 --> 00:41:08,600 Speaker 1: that this happens all the time, like golden jackals in 750 00:41:08,640 --> 00:41:13,000 Speaker 1: Serbia apparently removed just tons of animal waste, including road 751 00:41:13,080 --> 00:41:16,319 Speaker 1: killed animals and stuff like that. And then also you've 752 00:41:16,320 --> 00:41:19,440 Speaker 1: got the fact that in many urban areas, natural predators 753 00:41:19,440 --> 00:41:25,120 Speaker 1: control populations of other animals that directly cause harm to humans. Uh, 754 00:41:25,239 --> 00:41:28,319 Speaker 1: here's a big one. You might not consider natural predators 755 00:41:28,360 --> 00:41:32,640 Speaker 1: reduce wildlife vehicle collisions. Oh, this makes sense as well, 756 00:41:32,680 --> 00:41:35,880 Speaker 1: because what are all these excess prey animals doing but 757 00:41:36,200 --> 00:41:39,040 Speaker 1: running in front of my car? They often are, so 758 00:41:39,120 --> 00:41:42,200 Speaker 1: the author's right quote. One study found that the potential 759 00:41:42,239 --> 00:41:45,279 Speaker 1: recolonization of cougars over a thirty year period in the 760 00:41:45,320 --> 00:41:49,560 Speaker 1: Eastern USA would reduce dear populations and thereby curtail dear 761 00:41:49,760 --> 00:41:53,799 Speaker 1: vehicle collisions by twenty two percent. The authors estimated that 762 00:41:53,880 --> 00:41:56,360 Speaker 1: this reduction and collisions would result in a hundred and 763 00:41:56,440 --> 00:42:00,520 Speaker 1: fifty five fewer human deaths, twenty one thousand four fewer 764 00:42:00,600 --> 00:42:04,920 Speaker 1: human injuries, and two thirteen billion dollars in saved costs. 765 00:42:06,000 --> 00:42:08,719 Speaker 1: If those estimates are right, that's a heck of a 766 00:42:08,800 --> 00:42:10,759 Speaker 1: lot of damage just caused by deer getting in front 767 00:42:10,760 --> 00:42:13,200 Speaker 1: of your car. Yeah, and I have been in I 768 00:42:13,200 --> 00:42:15,920 Speaker 1: have been in the vehicle, if I remember correctly, on 769 00:42:15,960 --> 00:42:18,920 Speaker 1: two different incidents when I've the vehicle has hit a deer, 770 00:42:19,200 --> 00:42:21,360 Speaker 1: there's some way, shape or form. In one case, the 771 00:42:21,360 --> 00:42:22,880 Speaker 1: deer had already been hit and it was just like 772 00:42:22,920 --> 00:42:25,279 Speaker 1: coming over a hill and there it was, and like 773 00:42:25,320 --> 00:42:28,279 Speaker 1: the car went right over it. But uh, yeah, I 774 00:42:29,239 --> 00:42:31,560 Speaker 1: feel like this is a this is an increasingly common 775 00:42:31,600 --> 00:42:34,480 Speaker 1: occurrence if you're doing any amount of driving outside of 776 00:42:34,480 --> 00:42:37,600 Speaker 1: an urban environment, and even even with within an urban environment, 777 00:42:37,880 --> 00:42:41,920 Speaker 1: you're still facing the risk of those squirrels or you know, 778 00:42:42,040 --> 00:42:44,439 Speaker 1: various stray animals that may be running out in front 779 00:42:44,440 --> 00:42:46,760 Speaker 1: of your vehicle. Well, depending on what kind of urban 780 00:42:46,840 --> 00:42:49,680 Speaker 1: environment it is there, there are still sometimes even deer. 781 00:42:49,719 --> 00:42:52,320 Speaker 1: I mean, I think about how often you see deer 782 00:42:52,400 --> 00:42:56,080 Speaker 1: in some cities in Tennessee. Certainly, one funny note that 783 00:42:56,120 --> 00:42:59,560 Speaker 1: I that was in this paper was that apparently reintroducing 784 00:42:59,600 --> 00:43:03,600 Speaker 1: predator ters can even reduce auto insurance premiums and affected 785 00:43:03,640 --> 00:43:06,359 Speaker 1: areas because they, you know, reduce the risk. I wonder 786 00:43:06,440 --> 00:43:10,600 Speaker 1: if I can contact my my insurance companies say, look, 787 00:43:11,160 --> 00:43:15,600 Speaker 1: I introduced we introduced a mountain lion into my neighborhood. Up, 788 00:43:15,760 --> 00:43:18,640 Speaker 1: can you bring my my premium down a bit? Plan 789 00:43:18,760 --> 00:43:23,600 Speaker 1: on releasing wolves? How will that affect my rate? No? 790 00:43:23,800 --> 00:43:27,279 Speaker 1: I bet they won't do it on an individual basis, unfortunately. 791 00:43:27,680 --> 00:43:29,680 Speaker 1: But yeah, so we've got this issue where we know 792 00:43:29,840 --> 00:43:33,960 Speaker 1: that predators and scavengers provide immense benefits to humans. Of course, 793 00:43:34,000 --> 00:43:36,880 Speaker 1: they provide benefits to the ecosystems themselves, but they provide 794 00:43:36,880 --> 00:43:41,359 Speaker 1: immense benefits to human economies, to human public health, all 795 00:43:41,440 --> 00:43:44,239 Speaker 1: of that. And yet we are going to continue to 796 00:43:44,239 --> 00:43:47,799 Speaker 1: have these conflicts because predators are sometimes ferocious. They will 797 00:43:47,920 --> 00:43:51,839 Speaker 1: sometimes attack our domesticated animals and all that, they will 798 00:43:51,960 --> 00:43:54,319 Speaker 1: sometimes attack humans as long as they're going to be 799 00:43:54,760 --> 00:43:58,799 Speaker 1: humans and predators and scavengers in these shared zones, these 800 00:43:58,840 --> 00:44:02,880 Speaker 1: sort of uh middle zones where both humans and predators 801 00:44:02,920 --> 00:44:06,600 Speaker 1: can inhabit there will be these conflicts, and yet we 802 00:44:06,680 --> 00:44:09,440 Speaker 1: don't want to eliminate them. So part of the question 803 00:44:09,560 --> 00:44:11,919 Speaker 1: is how do you get people to understand that, even 804 00:44:11,960 --> 00:44:15,200 Speaker 1: though occasionally there will be wolf attacks on people and 805 00:44:15,200 --> 00:44:19,600 Speaker 1: stuff like that, that is massively counterbalanced by the benefits 806 00:44:19,600 --> 00:44:22,239 Speaker 1: provided by these creatures. Yeah, you have to have to 807 00:44:22,239 --> 00:44:24,840 Speaker 1: weigh all the benefits and not just you know, overreact 808 00:44:24,840 --> 00:44:27,920 Speaker 1: to one media report about uh, you know, a predation 809 00:44:27,960 --> 00:44:31,080 Speaker 1: scenario involving a human infant is as shocking and horrible 810 00:44:31,120 --> 00:44:34,839 Speaker 1: as that can be. Um, you know, obviously, I mean, 811 00:44:35,160 --> 00:44:37,239 Speaker 1: it's still not a reason to say set out to 812 00:44:37,239 --> 00:44:40,520 Speaker 1: destroy all crocodiles or all wolves, right, And and part 813 00:44:40,560 --> 00:44:43,600 Speaker 1: of the problem is that media reports can just even 814 00:44:43,680 --> 00:44:47,960 Speaker 1: without intending to do it, sensationalized predators. Like the one 815 00:44:48,280 --> 00:44:50,400 Speaker 1: thing I often think about is the type of media 816 00:44:50,480 --> 00:44:54,239 Speaker 1: story that doesn't say we should kill all predators, but 817 00:44:54,320 --> 00:44:57,840 Speaker 1: it just makes a media story out of predators citing 818 00:44:57,840 --> 00:45:00,479 Speaker 1: in a human area, you know, because other a wolf 819 00:45:00,520 --> 00:45:02,600 Speaker 1: in the neighborhood. Yeah, because otherwise, when is the shark 820 00:45:02,719 --> 00:45:05,440 Speaker 1: making the news. It's making the news because it was 821 00:45:05,719 --> 00:45:09,160 Speaker 1: seen in a human swimming area, a human caught it, 822 00:45:09,239 --> 00:45:11,719 Speaker 1: or killed it, or the reverse happened. Of course it 823 00:45:11,800 --> 00:45:14,000 Speaker 1: attacked or killed a human there. Yeah, there is no 824 00:45:14,120 --> 00:45:17,520 Speaker 1: story about the thousands of sharks that swam by without 825 00:45:17,560 --> 00:45:20,360 Speaker 1: anybody noticing them. And you make a good point that 826 00:45:20,520 --> 00:45:23,719 Speaker 1: very often the point of conflict here arises because of 827 00:45:23,800 --> 00:45:26,520 Speaker 1: human aggression, not because of the aggression of the animal, 828 00:45:26,880 --> 00:45:29,600 Speaker 1: or even if it's not aggression. It's like if you've 829 00:45:29,880 --> 00:45:32,200 Speaker 1: if we've all heard, you know, do not feed the 830 00:45:32,239 --> 00:45:36,760 Speaker 1: wild animals, which is wonderful advice for a number of reasons, 831 00:45:36,800 --> 00:45:39,200 Speaker 1: but if it's a if it's a prey species, especially 832 00:45:39,200 --> 00:45:42,560 Speaker 1: if it's a species that that could potentially attack a human, 833 00:45:42,920 --> 00:45:46,440 Speaker 1: then you should not do anything to to shrink the 834 00:45:46,640 --> 00:45:50,880 Speaker 1: natural distance between our species, right. So, I mean, I 835 00:45:50,960 --> 00:45:53,680 Speaker 1: think one thing in this space that's important is trying 836 00:45:53,719 --> 00:45:58,920 Speaker 1: to find smart strategies, Smart strategies that don't involve just 837 00:45:59,200 --> 00:46:02,560 Speaker 1: killing predators and scavengers outright because we don't like them, 838 00:46:02,640 --> 00:46:06,560 Speaker 1: or because there was one unfortunate point of conflict between 839 00:46:06,640 --> 00:46:10,040 Speaker 1: humans and whatever the species is that's local, but finding 840 00:46:10,080 --> 00:46:15,320 Speaker 1: ways to try to reduce encounters between humans and humans 841 00:46:15,320 --> 00:46:18,400 Speaker 1: in their livestock in these species while allowing the species 842 00:46:18,440 --> 00:46:21,040 Speaker 1: to live the example you mentioned earlier with just like 843 00:46:21,160 --> 00:46:23,720 Speaker 1: being able to paint eyes on the back of cattle, 844 00:46:23,760 --> 00:46:26,919 Speaker 1: that that sounds like a brilliant example of a solution there. Yeah, 845 00:46:27,040 --> 00:46:30,680 Speaker 1: make the make the the the the humans cattle less 846 00:46:30,680 --> 00:46:34,279 Speaker 1: appealing slightly as the feeling maybe even. But then the 847 00:46:34,360 --> 00:46:36,640 Speaker 1: reverse is well, the lions that are gonna hopefully go 848 00:46:36,719 --> 00:46:40,760 Speaker 1: eat other things, other prey animals that are still allowed 849 00:46:40,800 --> 00:46:44,160 Speaker 1: to reside in the natural environment. Yeah, of course not 850 00:46:44,280 --> 00:46:48,400 Speaker 1: destroying natural habitats helps as well. Yeah, the to whatever 851 00:46:48,440 --> 00:46:51,719 Speaker 1: to the more we unbalance the given environment, like, the 852 00:46:51,760 --> 00:46:54,080 Speaker 1: more complicated it is to try and figure out what 853 00:46:54,160 --> 00:46:56,920 Speaker 1: the new balance is, or certainly to try and achieve 854 00:46:56,960 --> 00:46:59,920 Speaker 1: anything like the old balance. But anyway, if so, summary 855 00:47:00,040 --> 00:47:03,279 Speaker 1: of all that, you've got the disease control, you've got, 856 00:47:03,280 --> 00:47:06,640 Speaker 1: agricultural protection, you've got all these direct benefits on human life, 857 00:47:06,680 --> 00:47:10,520 Speaker 1: like reducing auto collisions or disposing of waste. There are 858 00:47:10,600 --> 00:47:14,320 Speaker 1: just tons of ways that predators and scavengers are benefiting 859 00:47:14,360 --> 00:47:17,719 Speaker 1: your life and benefiting human civilization in ways that you 860 00:47:17,800 --> 00:47:21,160 Speaker 1: don't even appreciate or understand that are completely invisible to you. 861 00:47:21,480 --> 00:47:24,120 Speaker 1: But without them the world would be so much worse. 862 00:47:24,600 --> 00:47:26,600 Speaker 1: And so I think we should just take a moment 863 00:47:26,640 --> 00:47:30,920 Speaker 1: to appreciate the nasty animals. Indeed, here's to you, nasty animals. 864 00:47:31,280 --> 00:47:33,680 Speaker 1: Let's take a break, and when we come back, you know, 865 00:47:33,719 --> 00:47:36,160 Speaker 1: we'll talk a little bit about the nastiest animal of all. 866 00:47:36,880 --> 00:47:40,280 Speaker 1: Thank you. Thank Alright, we're back. So we've been talking 867 00:47:40,280 --> 00:47:44,360 Speaker 1: about how, even despite our mythologies and despite some religious 868 00:47:44,400 --> 00:47:48,040 Speaker 1: beliefs and all, that a world without predation is probably 869 00:47:48,160 --> 00:47:50,719 Speaker 1: not a good world. That's not a place where you'd 870 00:47:50,719 --> 00:47:53,640 Speaker 1: want to live. Predation does so many important things. It 871 00:47:53,680 --> 00:47:56,160 Speaker 1: plays an important ecological role. But I want to think 872 00:47:56,160 --> 00:47:58,920 Speaker 1: about another way that a world without predation is probably 873 00:47:59,000 --> 00:48:01,960 Speaker 1: not a world you want to live in because I 874 00:48:01,960 --> 00:48:05,319 Speaker 1: have a hard time imagining how a planet that never 875 00:48:05,400 --> 00:48:11,440 Speaker 1: evolved predation would ever evolve intelligence. Indeed, I mean it's 876 00:48:11,440 --> 00:48:15,880 Speaker 1: difficult to imagine a human level or greater intelligence emerging 877 00:48:15,880 --> 00:48:18,520 Speaker 1: in the absence of predation. Our best examples of non 878 00:48:18,600 --> 00:48:21,680 Speaker 1: human intelligence are either predators that have to engage in 879 00:48:21,760 --> 00:48:25,440 Speaker 1: advanced tactics and behaviors to catch prey uh and or 880 00:48:25,600 --> 00:48:30,120 Speaker 1: utilize these skills to avoid predation themselves. And curiously enough, 881 00:48:30,360 --> 00:48:33,880 Speaker 1: humans seem to stand as as an example of both. Yeah, exactly. 882 00:48:33,960 --> 00:48:38,640 Speaker 1: I mean, almost everything we call intelligence, I think has 883 00:48:38,840 --> 00:48:43,120 Speaker 1: something to do with time. Right. It has to do 884 00:48:43,160 --> 00:48:47,120 Speaker 1: with the speed at which you your body does something. 885 00:48:47,680 --> 00:48:51,640 Speaker 1: An organism that was able to avoid a you know, 886 00:48:51,680 --> 00:48:54,759 Speaker 1: an oncoming object, but it took a thousand years to 887 00:48:54,800 --> 00:48:58,080 Speaker 1: do so would you call that intelligence? Maybe? I mean, 888 00:48:58,080 --> 00:49:00,160 Speaker 1: it seems like it'd be hard to do, but it 889 00:49:00,200 --> 00:49:02,759 Speaker 1: seems to me like very much. An important part of 890 00:49:02,800 --> 00:49:05,319 Speaker 1: what intelligence is is that it has to do with 891 00:49:05,360 --> 00:49:09,680 Speaker 1: the speed of solutions to two problems, right, and the 892 00:49:09,719 --> 00:49:11,719 Speaker 1: speed at yeah, the speed at which it needs to 893 00:49:11,760 --> 00:49:15,279 Speaker 1: find a solution to that problem. Because something reacting at 894 00:49:15,280 --> 00:49:17,480 Speaker 1: the level we're talking about, uh, you know, maybe not 895 00:49:17,560 --> 00:49:19,560 Speaker 1: quite the same level, but you can look at an 896 00:49:19,600 --> 00:49:22,439 Speaker 1: oak tree and say, well, the oak tree has its 897 00:49:22,480 --> 00:49:25,919 Speaker 1: reflexes are not nearly as as quick as those of say, 898 00:49:26,200 --> 00:49:30,440 Speaker 1: you know, a feral cat, but they are both effectively 899 00:49:30,719 --> 00:49:34,560 Speaker 1: solving the problems that are necessary to to existing. Yeah, 900 00:49:34,680 --> 00:49:37,759 Speaker 1: and speed just pretty much, it seems clear needs to 901 00:49:37,840 --> 00:49:41,480 Speaker 1: exist in the world because predation exists. Right, It's kind 902 00:49:41,480 --> 00:49:44,680 Speaker 1: of this this arms race of speedy reactions. Yeah, you know. 903 00:49:44,680 --> 00:49:47,520 Speaker 1: In a fun bit of synchronicity, we recorded this episode 904 00:49:47,600 --> 00:49:50,359 Speaker 1: the same week as our fiftieth anniversary celebration of two 905 00:49:50,400 --> 00:49:53,719 Speaker 1: thousand and one A Space Odyssey. Yeah, and you know, 906 00:49:53,760 --> 00:49:55,840 Speaker 1: the fourth first portion of that film, the Dawn of 907 00:49:55,880 --> 00:49:58,520 Speaker 1: Man that we were discussing, you know, follows a population 908 00:49:58,560 --> 00:50:01,960 Speaker 1: of hominids as they scrap by on hunter gathering existence, 909 00:50:02,440 --> 00:50:05,120 Speaker 1: falling to predation from big cats from time to time, 910 00:50:05,840 --> 00:50:08,840 Speaker 1: but then with a little help from an extraterrestrial sentinel, 911 00:50:08,920 --> 00:50:11,600 Speaker 1: they take their first steps towards mastery of the planet 912 00:50:11,640 --> 00:50:14,560 Speaker 1: and the use of weapons. Yeah, the monolith arrives, then 913 00:50:14,600 --> 00:50:17,720 Speaker 1: they suddenly realize, hey, I can use a taper femur 914 00:50:17,920 --> 00:50:20,920 Speaker 1: as a as a club. But before that, the big 915 00:50:21,000 --> 00:50:23,440 Speaker 1: cat I believe it's a leopard in the movies, a 916 00:50:23,520 --> 00:50:26,800 Speaker 1: real leopard attacking somebody in a in an ape costume. 917 00:50:26,840 --> 00:50:29,640 Speaker 1: And it's frightening to watch, just and I'm not just 918 00:50:29,719 --> 00:50:32,279 Speaker 1: saying it because I mean on two levels, because on 919 00:50:32,400 --> 00:50:35,040 Speaker 1: one level the scene is very convincing, and then on 920 00:50:35,080 --> 00:50:37,560 Speaker 1: another level, I'm thinking, oh, crap, that's a guy in 921 00:50:37,560 --> 00:50:39,920 Speaker 1: an ape suit in a real carnivore has jumped on him. 922 00:50:40,200 --> 00:50:42,960 Speaker 1: I can't help but have a like a primal response 923 00:50:43,040 --> 00:50:47,920 Speaker 1: to that. Yeah, So fossil evidence does inform us that 924 00:50:48,000 --> 00:50:51,320 Speaker 1: early humans fell to cave lions, two savor tooth cats 925 00:50:51,719 --> 00:50:55,160 Speaker 1: and false savor tooth cats, but they were also eaten 926 00:50:55,239 --> 00:51:00,399 Speaker 1: by other animals, including giant hyenas, eagles, snakes, other mates, 927 00:51:00,680 --> 00:51:02,919 Speaker 1: and is. Rob Dunn pointed out in a two thousand 928 00:51:02,960 --> 00:51:06,279 Speaker 1: twelve Slate article about about fear, we even felt a 929 00:51:06,400 --> 00:51:12,120 Speaker 1: giant predatory kangaroos. Yes, the predatory kangaroos. Yeah, the occult 930 00:51:12,280 --> 00:51:14,839 Speaker 1: occult of data. I believe it's it's called I've never 931 00:51:14,920 --> 00:51:16,719 Speaker 1: even heard of this as far as I remember now. 932 00:51:16,760 --> 00:51:18,600 Speaker 1: I'm embarrassed if you've told me on the show before, 933 00:51:18,640 --> 00:51:21,120 Speaker 1: and I forgot. No, I do not think predatory kangaroos 934 00:51:21,120 --> 00:51:23,400 Speaker 1: have come up before. And to call it a kangaroo, 935 00:51:23,760 --> 00:51:25,680 Speaker 1: I've seen illustrations of what it might have looked like. 936 00:51:25,800 --> 00:51:28,240 Speaker 1: And it doesn't straight up look like a thinged kangaroo 937 00:51:28,320 --> 00:51:33,960 Speaker 1: or anything, but but still similar creature. So the Ovens 938 00:51:34,000 --> 00:51:36,680 Speaker 1: seems to support the idea that that creatures like this, 939 00:51:37,080 --> 00:51:39,560 Speaker 1: not just the kangaroo, but big cats, et cetera, feasted 940 00:51:39,600 --> 00:51:42,120 Speaker 1: on human flesh so well into the most recent hundred 941 00:51:42,160 --> 00:51:45,280 Speaker 1: thousand years of human history, and we see this reflected 942 00:51:45,320 --> 00:51:48,480 Speaker 1: in the lives of modern primates as well. In places 943 00:51:48,480 --> 00:51:52,719 Speaker 1: where large predators still haunt the shadows of primitive primate habitats, 944 00:51:53,000 --> 00:51:55,759 Speaker 1: the young are still preyed upon, and where humans dwell 945 00:51:55,880 --> 00:51:59,319 Speaker 1: alongside large carnivores, the young and occasionally even adults may 946 00:51:59,360 --> 00:52:02,239 Speaker 1: fall to per day the world. That this world is 947 00:52:02,280 --> 00:52:05,960 Speaker 1: also still reflected in our our our fight or flight responses, 948 00:52:06,440 --> 00:52:09,400 Speaker 1: in the anxieties that we that define our lives, and 949 00:52:09,520 --> 00:52:11,920 Speaker 1: in our nightmares and our fantasies and our fears. I mean, 950 00:52:12,000 --> 00:52:14,520 Speaker 1: really we think back to that that a lion man 951 00:52:14,640 --> 00:52:17,719 Speaker 1: the first monster, Like, it makes so much sense that 952 00:52:17,880 --> 00:52:21,880 Speaker 1: that should be like the early the earliest known uh 953 00:52:22,040 --> 00:52:24,799 Speaker 1: you know, physical manifestation of our fears that we would 954 00:52:24,800 --> 00:52:27,040 Speaker 1: actually like craft that well. I mean, if you go 955 00:52:27,200 --> 00:52:29,640 Speaker 1: by one thing we talked about recently as well as 956 00:52:29,680 --> 00:52:33,279 Speaker 1: the idea of the hyperactive agency detection device, that is 957 00:52:33,320 --> 00:52:36,800 Speaker 1: a hypothesis about you know, where are our a tendency 958 00:52:36,880 --> 00:52:40,320 Speaker 1: to attribute agency to inanimate objects comes from? And but 959 00:52:40,520 --> 00:52:42,680 Speaker 1: that says, you know, the things we really need to 960 00:52:42,719 --> 00:52:46,240 Speaker 1: worry about there are two main things, animals and other humans. 961 00:52:46,800 --> 00:52:49,359 Speaker 1: And if you combine the properties of the two, you've 962 00:52:49,440 --> 00:52:52,320 Speaker 1: essentially got like the ultimate thing to be scared of. 963 00:52:52,960 --> 00:52:56,400 Speaker 1: It's part human, it's part animal predator. It's both of 964 00:52:56,480 --> 00:52:59,520 Speaker 1: the things that worry us the most. Now this is 965 00:52:59,560 --> 00:53:03,040 Speaker 1: interesting too, because when we think about our our ancient ancestors, 966 00:53:03,320 --> 00:53:05,239 Speaker 1: we do tend to think about these two things, right, 967 00:53:05,560 --> 00:53:09,880 Speaker 1: warlike abilities towards self uh and and their ability to 968 00:53:10,040 --> 00:53:12,839 Speaker 1: fight back against predators and of course prey on other beings. 969 00:53:12,880 --> 00:53:15,680 Speaker 1: I mean everything was expressed in that opening uh a 970 00:53:15,840 --> 00:53:18,480 Speaker 1: segment of two thousand and one of Space Odyssey. But 971 00:53:18,719 --> 00:53:23,640 Speaker 1: some anthropologists, such as Robert W. Sussman, the late Robert W. Susman, 972 00:53:23,640 --> 00:53:25,920 Speaker 1: I believe you passedway a few years ago. Uh. He 973 00:53:26,120 --> 00:53:28,120 Speaker 1: argued that it was our that it was possibly not 974 00:53:28,239 --> 00:53:31,520 Speaker 1: our ability uh to wage war against others, but rather 975 00:53:31,600 --> 00:53:34,319 Speaker 1: our ability to cooperate with one another then enabled us 976 00:53:34,360 --> 00:53:38,880 Speaker 1: to survive that era that we lived through as a 977 00:53:38,960 --> 00:53:41,960 Speaker 1: prey species. Oh. I think there's tons of evidence that 978 00:53:42,200 --> 00:53:45,719 Speaker 1: that social cooperation was a major factor in shaping the 979 00:53:45,800 --> 00:53:48,400 Speaker 1: animals we are today. So there we were this this 980 00:53:48,560 --> 00:53:53,760 Speaker 1: prey species barely hanging on, but then developing the social 981 00:53:53,840 --> 00:53:57,840 Speaker 1: connections and the technology to fight back against predators to 982 00:53:58,120 --> 00:54:03,040 Speaker 1: sort of overtime remove ourselves from full participation in the 983 00:54:03,120 --> 00:54:06,680 Speaker 1: food chain. Um. And in doing so, we've become something 984 00:54:07,080 --> 00:54:10,200 Speaker 1: more than just a predator. Uh. We've become kind of 985 00:54:10,280 --> 00:54:14,000 Speaker 1: a super predator. As Sarah Zelinsky pointed out in a 986 00:54:14,040 --> 00:54:17,920 Speaker 1: two thousand fifteen Smithsonian dot Com article, humans are unlike 987 00:54:18,040 --> 00:54:21,320 Speaker 1: any other predator on the planet. Uh, and in in 988 00:54:21,640 --> 00:54:23,880 Speaker 1: ways that that one might not instantly think. You know, 989 00:54:23,920 --> 00:54:27,080 Speaker 1: obviously we use guns, and no other creature uses guns. 990 00:54:27,200 --> 00:54:30,080 Speaker 1: You know, we we poison, we do all these other tactics. 991 00:54:30,120 --> 00:54:35,000 Speaker 1: But everywhere else, predators prey upon the young, uh in particular. 992 00:54:35,080 --> 00:54:39,239 Speaker 1: But humans kill healthy adults, especially when it comes to 993 00:54:39,360 --> 00:54:43,000 Speaker 1: land carnivores and fish, and those adults, she she drives 994 00:54:43,040 --> 00:54:46,160 Speaker 1: home in the article, these are the reproductive capital of 995 00:54:46,239 --> 00:54:50,640 Speaker 1: the species. So you know these news stories that talk 996 00:54:50,680 --> 00:54:52,880 Speaker 1: about the tragedy of someone being struck down in the 997 00:54:53,280 --> 00:54:56,080 Speaker 1: prime of their life, Well, that's that's the sob story 998 00:54:56,160 --> 00:55:00,439 Speaker 1: for most of the animals that humans kill. And while 999 00:55:00,520 --> 00:55:03,279 Speaker 1: again that the natural predation model is for things that 1000 00:55:03,360 --> 00:55:06,880 Speaker 1: have not achieved that level um or they have fallen 1001 00:55:06,920 --> 00:55:08,560 Speaker 1: off on the other side, the young or the old, 1002 00:55:08,880 --> 00:55:11,399 Speaker 1: and this is especially destructive for long lived and late 1003 00:55:11,480 --> 00:55:14,560 Speaker 1: producing species. Of course. Yeah. One example of all this 1004 00:55:14,760 --> 00:55:17,640 Speaker 1: that Zelinski brings up is the stickleback. It's a fish 1005 00:55:17,719 --> 00:55:20,520 Speaker 1: that is just surrounded by predators. It just it has 1006 00:55:20,640 --> 00:55:26,279 Speaker 1: all the enemies, but the enemies mostly almost exclusively feed 1007 00:55:26,360 --> 00:55:30,600 Speaker 1: on young fries and subadults. Only five percent of the 1008 00:55:30,840 --> 00:55:34,520 Speaker 1: reproductively valuable adults are preyed upon each year. And that's 1009 00:55:34,560 --> 00:55:38,719 Speaker 1: a sharp contrast to commercial fishing, where fort of the 1010 00:55:38,800 --> 00:55:43,120 Speaker 1: biomass is netted and its predominantly real reproductive adults. So 1011 00:55:43,360 --> 00:55:47,360 Speaker 1: from like an energy and reproductive standpoint, our kind of 1012 00:55:47,520 --> 00:55:50,720 Speaker 1: hunting and trapping and fishing and all that is putting 1013 00:55:50,760 --> 00:55:55,319 Speaker 1: a different pressure on wild populations the normal predation would, yes, 1014 00:55:55,960 --> 00:55:58,719 Speaker 1: and maybe a pressure that those wild populations are not 1015 00:55:59,520 --> 00:56:02,759 Speaker 1: are not a position to sustain. Thomas rhym Chin of 1016 00:56:02,840 --> 00:56:06,279 Speaker 1: the University of Victoria research this uh this topic back 1017 00:56:06,280 --> 00:56:08,839 Speaker 1: in the nineteen seventies and found that while humans killed 1018 00:56:08,880 --> 00:56:12,239 Speaker 1: adult herbivores at about the same rate as non human 1019 00:56:12,320 --> 00:56:15,680 Speaker 1: predators quote, the harvest of adult carnivores by humans was 1020 00:56:15,840 --> 00:56:19,280 Speaker 1: nine times that of other large carnivores, which were mostly 1021 00:56:19,400 --> 00:56:24,520 Speaker 1: killing each other through competition, and the marine situation, according 1022 00:56:24,560 --> 00:56:27,720 Speaker 1: to Zelensky, is even worse, She says, marine predators harvest 1023 00:56:27,760 --> 00:56:30,920 Speaker 1: about one percent of adult biomass each year. Humans take 1024 00:56:30,960 --> 00:56:34,919 Speaker 1: a median of four and as much as or more 1025 00:56:35,040 --> 00:56:38,440 Speaker 1: in extreme cases. So yeah, technology not only allowed us 1026 00:56:38,520 --> 00:56:41,240 Speaker 1: to sort of escape from the food chain, it allowed 1027 00:56:41,280 --> 00:56:43,960 Speaker 1: us to escape from the limits of the natural prey 1028 00:56:44,080 --> 00:56:48,560 Speaker 1: predator dynamic. That's really interesting. So even while we can 1029 00:56:48,640 --> 00:56:52,120 Speaker 1: make the point that predators are good and predators are 1030 00:56:52,239 --> 00:56:55,480 Speaker 1: very important for ecosystem health and we should not be 1031 00:56:55,600 --> 00:56:58,759 Speaker 1: trying to eliminate them to make the world better, they 1032 00:56:58,800 --> 00:57:01,160 Speaker 1: are also very bad ways to be a predator. I 1033 00:57:01,200 --> 00:57:03,720 Speaker 1: mean you can see that even in non human animals, 1034 00:57:03,840 --> 00:57:06,640 Speaker 1: just when the wrong kind of invasive predator is introduced 1035 00:57:06,680 --> 00:57:09,080 Speaker 1: to an ecosystem and see the havoc at reachs. Right, Yeah, 1036 00:57:09,080 --> 00:57:11,600 Speaker 1: everything's out of balance. Yeah, but there can also be 1037 00:57:11,760 --> 00:57:16,840 Speaker 1: these these worldwide, world ranging super predators like us that 1038 00:57:17,080 --> 00:57:20,240 Speaker 1: just we don't play by the rules, right. We're playing 1039 00:57:20,280 --> 00:57:23,440 Speaker 1: with god code enabled, you know, which means we can 1040 00:57:23,600 --> 00:57:26,440 Speaker 1: just kill every creature on a level and not have to, 1041 00:57:26,600 --> 00:57:29,840 Speaker 1: you know, whereas otherwise the game mechanics would maybe dictate 1042 00:57:29,880 --> 00:57:33,160 Speaker 1: that you could only maybe kill thirty of the enemies 1043 00:57:33,200 --> 00:57:35,200 Speaker 1: on a given level. And actually make it to the 1044 00:57:35,400 --> 00:57:39,280 Speaker 1: end where the real ding goes. Yes, are the real 1045 00:57:39,400 --> 00:57:41,600 Speaker 1: thing goes. But but one of the big questions is, 1046 00:57:41,760 --> 00:57:44,080 Speaker 1: you know, what are we going to to be? You know, 1047 00:57:44,160 --> 00:57:46,400 Speaker 1: can we can we step down from the super threat 1048 00:57:46,720 --> 00:57:52,400 Speaker 1: predator throne? Can we actually uh implement more sustainable ways 1049 00:57:52,760 --> 00:57:57,120 Speaker 1: of of preying upon other animals in our world? And likewise, 1050 00:57:57,160 --> 00:58:00,120 Speaker 1: can we find more sustainable ways to deal with other 1051 00:58:00,200 --> 00:58:04,440 Speaker 1: predators that might be threatening the the the the environment 1052 00:58:04,520 --> 00:58:07,880 Speaker 1: that we have already unbalanced with our domesticated animals and 1053 00:58:07,920 --> 00:58:11,200 Speaker 1: our crops and our the expansion of our territory. You know, 1054 00:58:11,280 --> 00:58:13,800 Speaker 1: can we become something that's ultimately more, more humbler and 1055 00:58:13,880 --> 00:58:16,800 Speaker 1: more sustainable ourselves. It's a great question. I mean, how 1056 00:58:17,080 --> 00:58:19,480 Speaker 1: how to be a predator that knows it's a predator 1057 00:58:20,040 --> 00:58:24,240 Speaker 1: and recognizes its power. Yeah. There's a wonderful quote from 1058 00:58:24,480 --> 00:58:27,400 Speaker 1: George Mombia again, and this is from a two thousand 1059 00:58:27,440 --> 00:58:33,280 Speaker 1: fourteen Guardian article titled Destroyer of Worlds. He writes, is 1060 00:58:33,360 --> 00:58:36,160 Speaker 1: this all We are a diminutive monster that can leave 1061 00:58:36,240 --> 00:58:39,720 Speaker 1: no door closed, no hiding place intact, that is now 1062 00:58:39,920 --> 00:58:42,040 Speaker 1: doing to the great beasts of the sea what we 1063 00:58:42,160 --> 00:58:44,600 Speaker 1: did so long ago to the great beasts of the land, 1064 00:58:45,040 --> 00:58:48,160 Speaker 1: or can we stop? Can we use our ingenuity, which 1065 00:58:48,200 --> 00:58:51,800 Speaker 1: for two million years has turned so inventively to destruction, 1066 00:58:52,120 --> 00:58:55,840 Speaker 1: to defy our evolutionary history? I think we obviously can. 1067 00:58:56,000 --> 00:58:59,880 Speaker 1: The question is will we? I mean we we we 1068 00:59:00,040 --> 00:59:04,000 Speaker 1: have the ability to defy our evolutionary imperatives. We do 1069 00:59:04,080 --> 00:59:07,320 Speaker 1: it every time we do something self sacrificing for a stranger, 1070 00:59:07,440 --> 00:59:10,200 Speaker 1: or every time people use contraception or you know anything 1071 00:59:10,240 --> 00:59:12,640 Speaker 1: as so like we we certainly have the power to 1072 00:59:12,760 --> 00:59:15,840 Speaker 1: do more than just what is dictated by our genes. 1073 00:59:16,000 --> 00:59:18,880 Speaker 1: But the you know, in any given situation, will people 1074 00:59:18,960 --> 00:59:21,400 Speaker 1: do it? And that's the challenge. Yeah, that's the challenge today, 1075 00:59:21,440 --> 00:59:24,280 Speaker 1: That's the challenge going forward. But I think the it 1076 00:59:24,440 --> 00:59:26,840 Speaker 1: is important to put the emphasis on today as well, 1077 00:59:27,200 --> 00:59:29,520 Speaker 1: because it's all too easy just to say, well, it 1078 00:59:29,560 --> 00:59:32,440 Speaker 1: sounds like quite a problem. Hopefully somebody will figure that 1079 00:59:32,520 --> 00:59:34,600 Speaker 1: out in the years to come, or yeah, we'll get 1080 00:59:34,600 --> 00:59:36,360 Speaker 1: it where where humans are great, we'll figure it out. 1081 00:59:36,600 --> 00:59:38,920 Speaker 1: Hopefully we will. And I'm going to choose to be 1082 00:59:38,960 --> 00:59:42,920 Speaker 1: hopeful about it, because you know, I can. We can 1083 00:59:42,960 --> 00:59:45,880 Speaker 1: only act as as optimists if we're pestimist about it. 1084 00:59:45,960 --> 00:59:49,360 Speaker 1: Then what can we do? Yeah, and if you want 1085 00:59:49,400 --> 00:59:51,800 Speaker 1: to be optimistic about our future, can a predator like 1086 00:59:52,000 --> 00:59:55,280 Speaker 1: us uh learn to live within its means and reform? 1087 00:59:55,680 --> 00:59:58,240 Speaker 1: You've got to at least acknowledge the base fact that, hey, 1088 00:59:58,440 --> 01:00:01,840 Speaker 1: predators ain't so bad. Yeah, acknowledge that they have an 1089 01:00:01,960 --> 01:00:05,480 Speaker 1: essential role to play in our environment. And scavengers too. 1090 01:00:05,480 --> 01:00:08,520 Speaker 1: We shouldn't leave out scavenger. Yeah, the scavengers are also 1091 01:00:08,840 --> 01:00:11,560 Speaker 1: they are they're the clean up crew. They're less, less glamorous, 1092 01:00:11,680 --> 01:00:15,040 Speaker 1: but maybe even more useful. Yeah. All right, So there 1093 01:00:15,080 --> 01:00:18,680 Speaker 1: you have it, the predator, the scavenger. Uh. Well, hopefully 1094 01:00:18,880 --> 01:00:22,200 Speaker 1: this has UH forced you to re evaluate their roles. 1095 01:00:23,120 --> 01:00:25,160 Speaker 1: As always, check out stuff to Blow your Mind dot com. 1096 01:00:25,200 --> 01:00:27,640 Speaker 1: That's where we'll find all the podcast episodes. You just 1097 01:00:27,720 --> 01:00:29,840 Speaker 1: take a journey back through time there and listen to 1098 01:00:30,240 --> 01:00:33,040 Speaker 1: to uh a number of past episodes that have also 1099 01:00:33,160 --> 01:00:38,080 Speaker 1: dealt with biology and environmental issues and the future and 1100 01:00:38,680 --> 01:00:41,720 Speaker 1: past of our species. You also find links out to 1101 01:00:41,760 --> 01:00:43,800 Speaker 1: our verious social media accounts there, and hey, if you 1102 01:00:43,840 --> 01:00:47,080 Speaker 1: want to support the show, we urge you to rate 1103 01:00:47,200 --> 01:00:49,560 Speaker 1: and review it wherever you have the power to do so. 1104 01:00:49,960 --> 01:00:53,920 Speaker 1: Deep thanks, as always to our excellent audio producers Alex 1105 01:00:53,960 --> 01:00:56,680 Speaker 1: Williams and Tory Harrison. If you would like to get 1106 01:00:56,720 --> 01:00:59,080 Speaker 1: in touch with us directly to let us know feedback 1107 01:00:59,120 --> 01:01:02,320 Speaker 1: about this episode or any other suggested topic for the future, 1108 01:01:02,400 --> 01:01:04,680 Speaker 1: or just to say hi, you can email us at 1109 01:01:04,840 --> 01:01:16,800 Speaker 1: blow the Mind at how staff works dot com for 1110 01:01:16,960 --> 01:01:19,240 Speaker 1: more on this and thousands of other topics. 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