1 00:00:06,760 --> 00:00:10,319 Speaker 1: Welcome to Creature, feature production of I Heart Radio. I'm 2 00:00:10,360 --> 00:00:14,200 Speaker 1: your host of Many Parasites, Katie Golden. I studied psychology 3 00:00:14,200 --> 00:00:17,640 Speaker 1: and evolutionary biology, and welcome to part two of our 4 00:00:17,800 --> 00:00:23,759 Speaker 1: Creature We'm spook Tacular. Today we're visiting the spookiest, smartest, 5 00:00:23,840 --> 00:00:30,040 Speaker 1: most spectacular family in the annual Kingdom, the Corvids, Crows, ravens, rooks, 6 00:00:30,040 --> 00:00:34,120 Speaker 1: and more. Are crows the smartest being on Earth? Do 7 00:00:34,200 --> 00:00:38,320 Speaker 1: they mourn they're dead? Do they hold a grudge? Discover 8 00:00:38,440 --> 00:00:41,320 Speaker 1: this more as we answered the Agel question. Our Eurasian 9 00:00:41,479 --> 00:00:45,879 Speaker 1: magpies too obsessed with themselves? Joining me today, I have 10 00:00:45,960 --> 00:00:48,760 Speaker 1: an incredibly exciting and special gifts that I have been 11 00:00:48,800 --> 00:00:51,120 Speaker 1: looking forward to having on the show for some time. 12 00:00:51,680 --> 00:00:56,520 Speaker 1: She's an ornithologist who specializes in corvettes, a crow behavioral researcher, 13 00:00:56,640 --> 00:01:00,959 Speaker 1: Twitter celebrity creator of the crow or No hashtag, probably 14 00:01:01,000 --> 00:01:06,200 Speaker 1: a secret bird herself. Dr Kylee Swift. Ah, Hi, thanks 15 00:01:06,240 --> 00:01:08,640 Speaker 1: so much for having me, Katie. I am a big 16 00:01:08,680 --> 00:01:12,440 Speaker 1: fan of yours. I have been observing the crow or 17 00:01:12,520 --> 00:01:16,559 Speaker 1: No hashtag game on Twitter for a long time. It's 18 00:01:16,720 --> 00:01:19,320 Speaker 1: very fun. Yeah, I'm so glad to hear that. Yeah, 19 00:01:19,319 --> 00:01:21,720 Speaker 1: it was, I can't. I think it's been like five 20 00:01:21,840 --> 00:01:26,400 Speaker 1: years that I've been playing this game for maybe maybe 21 00:01:26,400 --> 00:01:31,200 Speaker 1: only four, but like many years half every week that 22 00:01:31,319 --> 00:01:34,920 Speaker 1: I've been playing this and I'm like amazed and so 23 00:01:35,080 --> 00:01:39,040 Speaker 1: pleased that people keep coming back to ask this what 24 00:01:39,200 --> 00:01:41,720 Speaker 1: seems to be a very simple but turns out to 25 00:01:41,760 --> 00:01:45,800 Speaker 1: be very tricky question. Is that ambiguous black thing this 26 00:01:45,880 --> 00:01:50,160 Speaker 1: guy a crow or not? Right? Right? And I think 27 00:01:50,200 --> 00:01:54,400 Speaker 1: it's interesting. So one thing that people struggle with is 28 00:01:54,480 --> 00:01:57,520 Speaker 1: telling the difference between a crow and a raven. But 29 00:01:57,560 --> 00:02:00,800 Speaker 1: there are actually a lot of Corvid's other birds in 30 00:02:00,880 --> 00:02:04,000 Speaker 1: general that kind of look like a crow, but they aren't. 31 00:02:04,200 --> 00:02:08,040 Speaker 1: Just so the listener knows, Corvids is a family of 32 00:02:08,160 --> 00:02:13,119 Speaker 1: birds that includes crows, ravens, rooks, and jackdaws, which all 33 00:02:13,120 --> 00:02:16,160 Speaker 1: look actually pretty similar. But there are also other family 34 00:02:16,200 --> 00:02:21,880 Speaker 1: members such as Jay's magpies, nutcrackers, tree pies, which are 35 00:02:21,919 --> 00:02:27,240 Speaker 1: found in tropical regions, and chuffs, which are actually something 36 00:02:27,320 --> 00:02:30,840 Speaker 1: I just found out about. They're found in North Africa 37 00:02:30,880 --> 00:02:35,079 Speaker 1: and southern Eurasia. So a big diverse family of birds. 38 00:02:35,639 --> 00:02:38,639 Speaker 1: Uh so they're not all crow like, but a lot 39 00:02:38,720 --> 00:02:43,760 Speaker 1: of them really look like crows, and uh, they're also crows. 40 00:02:43,880 --> 00:02:47,560 Speaker 1: There's not just like one species of crow, right, there 41 00:02:47,560 --> 00:02:50,040 Speaker 1: are a whole bunch of different species of birds that 42 00:02:50,120 --> 00:02:53,800 Speaker 1: we call crows. Yeah, exactly. So if we if we 43 00:02:53,880 --> 00:02:56,560 Speaker 1: want to put our sort of taxonomy hats on and 44 00:02:56,600 --> 00:03:01,440 Speaker 1: think about how we classify animals. You just described corvette, 45 00:03:01,600 --> 00:03:03,760 Speaker 1: which is at the family level, so that's kind of 46 00:03:03,760 --> 00:03:07,080 Speaker 1: our biggest umbrella. And then if we drop down and 47 00:03:07,080 --> 00:03:09,120 Speaker 1: get a little more narrow from there, you have all 48 00:03:09,160 --> 00:03:13,480 Speaker 1: of the different genera or genus. And so the Corvus 49 00:03:13,600 --> 00:03:16,280 Speaker 1: genus is probably the one that's most familiar to people, 50 00:03:16,440 --> 00:03:21,120 Speaker 1: and that's the genus that houses specifically the crows, ravens, 51 00:03:21,200 --> 00:03:25,320 Speaker 1: and rooks. And in that genus alone, there are over 52 00:03:25,440 --> 00:03:30,279 Speaker 1: forty five different species of birds. So that is absolutely 53 00:03:30,320 --> 00:03:34,080 Speaker 1: one of the elements that makes this game a little 54 00:03:34,080 --> 00:03:36,800 Speaker 1: bit more interesting and fun is that it's not as 55 00:03:36,840 --> 00:03:41,240 Speaker 1: simple as just asking like American crow versus common raven. 56 00:03:41,360 --> 00:03:44,720 Speaker 1: But because I can draw on Corvitt's all around the world, 57 00:03:45,640 --> 00:03:48,440 Speaker 1: some of these species you know, most people have never 58 00:03:48,520 --> 00:03:51,840 Speaker 1: heard of, like the gray crow or maybe the pied 59 00:03:51,920 --> 00:03:55,360 Speaker 1: crow or the large build crow. It just adds another 60 00:03:55,440 --> 00:03:58,480 Speaker 1: fun element to this game and hopefully makes people appreciate 61 00:03:58,560 --> 00:04:01,400 Speaker 1: just how much diversity exist us within this genus and 62 00:04:01,480 --> 00:04:04,440 Speaker 1: this family. It's a game that I struggle with. I'm like, oh, 63 00:04:04,480 --> 00:04:07,600 Speaker 1: I know everything about birds. No, not at all. I 64 00:04:07,640 --> 00:04:10,120 Speaker 1: will see something like, oh, but its tail is shaped 65 00:04:10,160 --> 00:04:13,360 Speaker 1: like a triangle, so that means it must be Um, 66 00:04:13,400 --> 00:04:15,760 Speaker 1: that's that's got to be a raven. And it's like, no, no, no, 67 00:04:15,840 --> 00:04:19,760 Speaker 1: that's that's not I'm totally wrong every time. I mean, 68 00:04:19,800 --> 00:04:22,240 Speaker 1: I think I've talked on the show before sort of 69 00:04:22,279 --> 00:04:25,920 Speaker 1: like how you differentiate between a raven and a crow. 70 00:04:26,120 --> 00:04:28,919 Speaker 1: Like there are a few signs in terms of like 71 00:04:28,960 --> 00:04:32,400 Speaker 1: their voices, you know, Ravens, uh sort of have this 72 00:04:32,480 --> 00:04:35,400 Speaker 1: like long drawn out croak a little more and crows 73 00:04:35,440 --> 00:04:37,960 Speaker 1: have the cow cow cow kind of thing. And but 74 00:04:38,040 --> 00:04:41,400 Speaker 1: it's some of the distinctions are sort of a little 75 00:04:41,400 --> 00:04:43,600 Speaker 1: bit of a gray area because you could say, like, oh, well, 76 00:04:43,720 --> 00:04:46,880 Speaker 1: ravens are a little more solitary, but not always. They 77 00:04:47,080 --> 00:04:49,800 Speaker 1: sometimes like to hang out in groups. Crows generally hang 78 00:04:49,800 --> 00:04:52,799 Speaker 1: out in larger groups, but that's also not always true. 79 00:04:53,440 --> 00:04:56,960 Speaker 1: What are some ways that you can identify a crow 80 00:04:57,080 --> 00:04:59,520 Speaker 1: and what are sort of some of the tricky things 81 00:04:59,560 --> 00:05:05,000 Speaker 1: that hap and in terms of mistakes made with crow identification. Sure, so, 82 00:05:05,360 --> 00:05:09,520 Speaker 1: like you're hinting at, there's very few kind of objective 83 00:05:09,839 --> 00:05:12,719 Speaker 1: field marks things that are fool proof ways to tell 84 00:05:12,880 --> 00:05:15,440 Speaker 1: because they're just as a lot of sort of individual 85 00:05:15,520 --> 00:05:19,760 Speaker 1: variation and nuance that that makes it tricky. But generally speaking, 86 00:05:20,560 --> 00:05:24,320 Speaker 1: one of the best features to look for is Ravens 87 00:05:24,400 --> 00:05:30,479 Speaker 1: have these heavily textured lancelated throat feathers called hackles, and 88 00:05:30,560 --> 00:05:34,560 Speaker 1: it gives their throats sort of this like gruff beard 89 00:05:34,640 --> 00:05:39,720 Speaker 1: like appearance. And American crows, by contrast, have very smooth, 90 00:05:40,080 --> 00:05:45,320 Speaker 1: kind of fine hair like throats, and carrying crows they 91 00:05:45,480 --> 00:05:48,880 Speaker 1: edge a little bit hacklier, but it's still it's still 92 00:05:48,960 --> 00:05:50,720 Speaker 1: much like you know, it's like a teenager getting their 93 00:05:50,720 --> 00:05:54,240 Speaker 1: scruff in versus you know, mountain carrying crows are found 94 00:05:54,400 --> 00:05:58,840 Speaker 1: in like the u k Um, whereas American crows are 95 00:05:58,920 --> 00:06:03,000 Speaker 1: well found in America exactly. Yeah, yeah, Carrie, and crows 96 00:06:03,000 --> 00:06:06,320 Speaker 1: are basically found throughout Europe and Eurasia, so they're they're 97 00:06:06,400 --> 00:06:10,799 Speaker 1: very widespread species. Um, So look for those hackles. That's 98 00:06:10,880 --> 00:06:14,600 Speaker 1: one of the best no shave no shave crow member exactly. 99 00:06:16,680 --> 00:06:20,039 Speaker 1: Tail shape is the next one. Now for any crow 100 00:06:20,120 --> 00:06:23,200 Speaker 1: or no players. They might be aggravated with me this 101 00:06:23,240 --> 00:06:26,520 Speaker 1: week because I gave them a very very tricky photo yesterday, 102 00:06:26,520 --> 00:06:29,360 Speaker 1: which I'll get into in just a minute. But generally speaking, 103 00:06:29,400 --> 00:06:34,960 Speaker 1: the rule is ravens have a diamond shaped tail versus crows. 104 00:06:35,000 --> 00:06:37,640 Speaker 1: Whether it's American crow, Carrie, and crow. Really, all the 105 00:06:37,640 --> 00:06:42,160 Speaker 1: crow species have a square or kind of gently rounded 106 00:06:42,279 --> 00:06:45,280 Speaker 1: tail shape, right, so the one is like a like 107 00:06:45,320 --> 00:06:48,200 Speaker 1: a fan, like a hand fan, that's the crow, whereas 108 00:06:48,279 --> 00:06:51,719 Speaker 1: ravens kind of have an extra little point, tapered point 109 00:06:52,080 --> 00:06:54,880 Speaker 1: at the end of their tails. Yeah, those central tail 110 00:06:54,880 --> 00:06:57,960 Speaker 1: feathers are a bit longer than the rest. The one 111 00:06:58,080 --> 00:07:00,400 Speaker 1: time of year that can become kind of trick though, 112 00:07:00,600 --> 00:07:04,200 Speaker 1: is in the fall, when these birds are molting and 113 00:07:04,279 --> 00:07:07,720 Speaker 1: crows are growing in their new tail feathers. They can 114 00:07:07,800 --> 00:07:11,600 Speaker 1: get this kind of scalloped, you know, shape because the 115 00:07:12,080 --> 00:07:16,800 Speaker 1: feathers haven't completely grown in, and it can look just deceptively, 116 00:07:16,960 --> 00:07:20,800 Speaker 1: I just looks exactly like a ra They're just toying 117 00:07:20,880 --> 00:07:24,560 Speaker 1: with us at this toying with us, yes, But generally speaking, 118 00:07:24,600 --> 00:07:27,160 Speaker 1: like I said, tail shape and hackles are the too 119 00:07:27,240 --> 00:07:32,720 Speaker 1: easiest kind of foolproof ways to tell them apart behaviorally geographically, 120 00:07:33,120 --> 00:07:36,480 Speaker 1: you're more likely to find ravens in rural areas or 121 00:07:36,480 --> 00:07:41,760 Speaker 1: in wildland areas. They're more carrion specialists. But they'll absolutely 122 00:07:41,760 --> 00:07:43,880 Speaker 1: head into town, you know, if if they can, and 123 00:07:43,920 --> 00:07:47,720 Speaker 1: there's not too much competition, And especially folks living in 124 00:07:47,920 --> 00:07:52,000 Speaker 1: more rural cities like Bozeman for example, they're they're absolutely 125 00:07:52,080 --> 00:07:56,200 Speaker 1: used to ravens at their local target. Um and there 126 00:07:56,200 --> 00:07:59,200 Speaker 1: are ravens that breed in downtown l A. So, so 127 00:07:59,280 --> 00:08:03,720 Speaker 1: these are birds can be city birds versus crows. They're 128 00:08:03,720 --> 00:08:07,680 Speaker 1: pretty much exclusively city and rural birds. If they're in 129 00:08:07,760 --> 00:08:11,080 Speaker 1: the woods, it's because there's a campground nearby, but you 130 00:08:11,240 --> 00:08:14,320 Speaker 1: very rarely find them, you know, more than about twenty 131 00:08:14,320 --> 00:08:16,880 Speaker 1: miles away from any kind of human settlement. They are. 132 00:08:16,960 --> 00:08:19,920 Speaker 1: They are much more sort of what the scientific term 133 00:08:19,960 --> 00:08:23,239 Speaker 1: we'd use as a synanthrock or an animal that really 134 00:08:23,280 --> 00:08:27,120 Speaker 1: exists in close company with human beings kind of by 135 00:08:27,200 --> 00:08:29,600 Speaker 1: choice or by design, so to speak. Right, an urban 136 00:08:29,680 --> 00:08:33,520 Speaker 1: adapter who's just given up the wildlife almost entirely, sort 137 00:08:33,559 --> 00:08:37,880 Speaker 1: of like pigeons. Yeah, yeah, urban exploiters. Yeah, they are 138 00:08:37,920 --> 00:08:39,920 Speaker 1: not making the city, you know, they're not making do 139 00:08:40,080 --> 00:08:42,160 Speaker 1: in the city. Is they are making the cities work 140 00:08:42,240 --> 00:08:47,400 Speaker 1: for that. There's something too about crows that is so 141 00:08:47,480 --> 00:08:51,120 Speaker 1: charming to me, because they have all of the attitude 142 00:08:51,120 --> 00:08:55,959 Speaker 1: of other urban exploiting birds like seagulls and pigeons, but 143 00:08:56,559 --> 00:08:59,839 Speaker 1: there's something a little more elegant about it, where it's 144 00:09:00,160 --> 00:09:02,960 Speaker 1: I'm okay with the sass of a crow more than 145 00:09:03,000 --> 00:09:05,520 Speaker 1: I like. When a seagull gets mad at me, I 146 00:09:05,559 --> 00:09:07,880 Speaker 1: just feel kind of bullied, But when it's a crow 147 00:09:07,920 --> 00:09:09,960 Speaker 1: getting mad at me, it's sort of like, oh man, 148 00:09:10,000 --> 00:09:12,720 Speaker 1: this this crow is like like sassing me, and I 149 00:09:12,760 --> 00:09:17,760 Speaker 1: like it. There, I absolutely know what you're describing. There 150 00:09:17,840 --> 00:09:22,520 Speaker 1: is this sense of more playfulness because crows are so 151 00:09:22,640 --> 00:09:25,600 Speaker 1: aware of what they're doing and their relationships with people 152 00:09:26,120 --> 00:09:29,520 Speaker 1: that there's this sense of purpose behind it that you 153 00:09:29,600 --> 00:09:33,000 Speaker 1: can't help but like respect right, it's a little bit 154 00:09:33,040 --> 00:09:36,960 Speaker 1: of mischief. It's a little bit of the Adam's family mischief, 155 00:09:36,960 --> 00:09:40,320 Speaker 1: where yeah, they seem very sinister, but there's a playful 156 00:09:40,360 --> 00:09:44,040 Speaker 1: mischief that is I think really endearing. And I guess 157 00:09:44,040 --> 00:09:47,080 Speaker 1: this kind of ties into my question about you, which 158 00:09:47,160 --> 00:09:51,559 Speaker 1: is why did you pick birds and in particular corvids 159 00:09:51,640 --> 00:09:55,200 Speaker 1: as your area of research? So I grew up like 160 00:09:55,240 --> 00:09:58,240 Speaker 1: a total weird animal nerd. I thought I was a 161 00:09:58,280 --> 00:10:00,320 Speaker 1: wolf for a long time. I can't real late at 162 00:10:00,440 --> 00:10:03,320 Speaker 1: I bet you can't, Katie. Most people I meet are 163 00:10:03,600 --> 00:10:05,960 Speaker 1: you know, cool, cool people. When I need a person, 164 00:10:06,040 --> 00:10:08,199 Speaker 1: I just have to assume that they did not grow up. 165 00:10:08,559 --> 00:10:12,480 Speaker 1: Now I'm actually being sarcastic. I used to. I used 166 00:10:12,480 --> 00:10:14,480 Speaker 1: to pretend I was a cricket, so I feel like 167 00:10:14,520 --> 00:10:17,160 Speaker 1: we would have gotten along. Yeah, no, we absolutely did, 168 00:10:17,200 --> 00:10:20,000 Speaker 1: and those people always grow up to be the most 169 00:10:20,040 --> 00:10:24,800 Speaker 1: awesome people. But so I was really into you know, 170 00:10:24,960 --> 00:10:28,080 Speaker 1: animals and wolves, and and then as I grew up, 171 00:10:28,080 --> 00:10:30,520 Speaker 1: I kind of sort of lost favor with wolves a 172 00:10:30,520 --> 00:10:33,600 Speaker 1: little bit as a particular species. But I really liked 173 00:10:33,640 --> 00:10:37,320 Speaker 1: the kinds of things that I used to question and 174 00:10:37,480 --> 00:10:40,400 Speaker 1: enquire about wolves, and that was primarily focused on like 175 00:10:40,440 --> 00:10:43,560 Speaker 1: these really cool social dynamics that they live, and I 176 00:10:43,600 --> 00:10:45,760 Speaker 1: just thought that was so interesting and it seemed at 177 00:10:45,760 --> 00:10:48,559 Speaker 1: the time it seems so different than most other animals. 178 00:10:49,120 --> 00:10:51,840 Speaker 1: So then kind of like puttering along through you know, 179 00:10:51,960 --> 00:10:54,800 Speaker 1: school and getting into undergrad that was kind of my 180 00:10:54,880 --> 00:10:58,680 Speaker 1: time to to try to think more specifically about like, Okay, 181 00:10:58,679 --> 00:11:01,760 Speaker 1: what could I actually study? Because I have a d 182 00:11:01,880 --> 00:11:04,840 Speaker 1: h D and so it means that, like I have 183 00:11:04,960 --> 00:11:09,840 Speaker 1: a very hard time focusing obviously, and so you know, 184 00:11:09,920 --> 00:11:12,640 Speaker 1: it's it's not a trivial question for me to ask, 185 00:11:12,679 --> 00:11:15,760 Speaker 1: like what captivates me? Like, it's actually a really serious 186 00:11:15,840 --> 00:11:18,480 Speaker 1: question because if I don't get that answer right, then 187 00:11:18,559 --> 00:11:21,560 Speaker 1: I cannot stick to something. So I was like, Okay, 188 00:11:21,600 --> 00:11:25,440 Speaker 1: what can I realistically really dedicate myself too? And I 189 00:11:25,480 --> 00:11:27,920 Speaker 1: was like, well, I'm still really into these questions about 190 00:11:27,920 --> 00:11:32,040 Speaker 1: like social dynamics, and and it's really interesting too the 191 00:11:32,080 --> 00:11:34,760 Speaker 1: more I've sort of read how there seems to be 192 00:11:34,800 --> 00:11:40,160 Speaker 1: this connection between you know, social animals and more advanced 193 00:11:40,480 --> 00:11:44,920 Speaker 1: levels of cognitive function and executive function, and that seems 194 00:11:44,920 --> 00:11:48,040 Speaker 1: like just a really cool world to exist in and 195 00:11:48,320 --> 00:11:51,520 Speaker 1: do research on. And then sort of in compliment to that, 196 00:11:51,920 --> 00:11:54,080 Speaker 1: I always loved birds. I grew up brood watching with 197 00:11:54,120 --> 00:11:58,040 Speaker 1: my grandma, and so when I read Minded the Raven 198 00:11:58,120 --> 00:12:01,199 Speaker 1: by Berne Heinrich, that was kind of this aha moment 199 00:12:01,240 --> 00:12:04,400 Speaker 1: of like, holy crab, this is like the perfect marriage 200 00:12:04,640 --> 00:12:08,000 Speaker 1: of being able to watch and ask questions about birds 201 00:12:08,280 --> 00:12:12,560 Speaker 1: and exists in this space where we are enquiring about 202 00:12:12,600 --> 00:12:18,920 Speaker 1: how being social maybe plays into cognition and yeah, and 203 00:12:18,960 --> 00:12:22,120 Speaker 1: so that's kind of how I arrived at Corvid's and 204 00:12:22,160 --> 00:12:24,600 Speaker 1: then from there I was kind of like Corvitt's or bust, 205 00:12:24,720 --> 00:12:28,479 Speaker 1: which is not a strategy I recommend to other early professionals, 206 00:12:29,320 --> 00:12:30,839 Speaker 1: but it did work out for me. I was like, 207 00:12:30,920 --> 00:12:32,520 Speaker 1: if I'm going to go to graduate school, it's going 208 00:12:32,600 --> 00:12:35,360 Speaker 1: to be to study these birds. That is where I'm going. 209 00:12:36,120 --> 00:12:38,800 Speaker 1: And it took some time and a lot of hard work, 210 00:12:39,080 --> 00:12:41,439 Speaker 1: but I made that happen for myself, and I'm so 211 00:12:41,480 --> 00:12:45,120 Speaker 1: grateful that I had the opportunity that I did to 212 00:12:45,160 --> 00:12:48,800 Speaker 1: study these birds for so long. That's so interesting because 213 00:12:48,960 --> 00:12:53,640 Speaker 1: I've also always had a fascination with birds. When I 214 00:12:53,679 --> 00:12:55,560 Speaker 1: was a little kid, my mom said that I used 215 00:12:55,559 --> 00:12:57,720 Speaker 1: to chase birds around and she was like, what are 216 00:12:57,720 --> 00:12:59,920 Speaker 1: you doing. I was like, I feel like if they 217 00:13:00,040 --> 00:13:02,720 Speaker 1: got to know me, they would like me. There is 218 00:13:02,760 --> 00:13:08,400 Speaker 1: something fascinating about birds because they are evolutionarily speaking, so 219 00:13:08,520 --> 00:13:11,959 Speaker 1: different from us. They branched off like they're they're dinosaurs, 220 00:13:12,200 --> 00:13:15,400 Speaker 1: and so to have these living dinosaurs that actually display 221 00:13:15,559 --> 00:13:22,760 Speaker 1: such incredible emotional, social, and cognitive intelligence is really really fascinating, 222 00:13:22,760 --> 00:13:27,240 Speaker 1: and I think there's something to see that amount of 223 00:13:27,440 --> 00:13:31,360 Speaker 1: personality and something so dinosaur like. I think it's really 224 00:13:31,400 --> 00:13:34,520 Speaker 1: really cool and really exciting. I mean, I think there 225 00:13:34,520 --> 00:13:37,760 Speaker 1: are a lot of people that love bird watching. What's 226 00:13:37,800 --> 00:13:42,160 Speaker 1: kind of the difference between being a casual observer of 227 00:13:42,200 --> 00:13:46,800 Speaker 1: birds and actually researching their behavior because it's you know, 228 00:13:47,400 --> 00:13:50,679 Speaker 1: bird research goes a step beyond just like watching birds 229 00:13:50,679 --> 00:13:53,439 Speaker 1: in the binocular, they are all sorts of other mechanisms 230 00:13:53,480 --> 00:13:56,960 Speaker 1: at play there. The first difference is that as researchers, 231 00:13:57,000 --> 00:13:58,880 Speaker 1: we don't get to stop watching them just because it 232 00:13:58,880 --> 00:14:02,680 Speaker 1: gets boring, which really it makes the envy is of 233 00:14:02,679 --> 00:14:06,480 Speaker 1: the casual birdwatchers sometimes because that's the thing about science 234 00:14:06,520 --> 00:14:11,520 Speaker 1: that I feel like non scientists maybe don't appreciate um, 235 00:14:11,559 --> 00:14:15,920 Speaker 1: partly because it's not the way scientists is often portrayed 236 00:14:16,000 --> 00:14:21,600 Speaker 1: or delivered to them. But it is like tediousness with 237 00:14:21,680 --> 00:14:26,760 Speaker 1: like one percent ah cool moment, right, You're not just 238 00:14:26,840 --> 00:14:30,400 Speaker 1: like looking for, Hey, that bird just did something cool. 239 00:14:31,000 --> 00:14:35,240 Speaker 1: You actually have to code for very specific behaviors and movements, 240 00:14:35,240 --> 00:14:39,479 Speaker 1: and you have to you can't necessarily like freely interpret 241 00:14:39,560 --> 00:14:42,640 Speaker 1: like oh, the bird looks like he's maybe interested in 242 00:14:42,680 --> 00:14:45,280 Speaker 1: this thing, Like you have to actually kind of have 243 00:14:45,720 --> 00:14:50,840 Speaker 1: very strict observations of behavior that are quantifiable other otherwise 244 00:14:50,880 --> 00:14:53,080 Speaker 1: it's just your opinion on what the bird is doing 245 00:14:53,200 --> 00:14:57,120 Speaker 1: right exactly, which is are you know? Already hard enough 246 00:14:57,320 --> 00:14:59,840 Speaker 1: sometimes in the sciences, but it is especially hard when 247 00:14:59,840 --> 00:15:03,040 Speaker 1: you're trying to interpret animal behavior. Right, when we're trying 248 00:15:03,080 --> 00:15:07,120 Speaker 1: to interpret these things that, um, we can't literally ask 249 00:15:07,160 --> 00:15:12,120 Speaker 1: the animals, and so we are pretty vulnerable to if 250 00:15:12,200 --> 00:15:15,160 Speaker 1: we aren't super structured, we become more vulnerable to just 251 00:15:15,320 --> 00:15:18,920 Speaker 1: interpreting things through our own lens as people. Right, you 252 00:15:18,960 --> 00:15:22,160 Speaker 1: can't really psychoanalyze the crow and ask, like, how are 253 00:15:22,200 --> 00:15:25,360 Speaker 1: you feeling? I mean, you could with like actually with 254 00:15:25,400 --> 00:15:28,000 Speaker 1: a raven, right, and it could technically answer because they 255 00:15:28,040 --> 00:15:31,360 Speaker 1: can they can talk. It's just they probably won't say 256 00:15:31,640 --> 00:15:35,240 Speaker 1: much that makes sense. Well, so to be fair, all 257 00:15:35,240 --> 00:15:38,680 Speaker 1: the corvetts can talk, uh, and not just ravens, and 258 00:15:38,920 --> 00:15:41,520 Speaker 1: uh yeah, if we could, oh my gosh, that would 259 00:15:41,560 --> 00:15:43,760 Speaker 1: be that's a dream man. You just described the dream. 260 00:15:43,840 --> 00:15:47,520 Speaker 1: But to date, no one has ever gotten lucky enough 261 00:15:47,560 --> 00:15:51,160 Speaker 1: that a crave, that craven, that a raven or crow 262 00:15:51,960 --> 00:15:55,600 Speaker 1: just kind of offered up the answer to us. Yeah, 263 00:15:55,680 --> 00:15:58,680 Speaker 1: but you know what, that shouldn't stop anyone from asking 264 00:15:58,680 --> 00:16:02,440 Speaker 1: the question right, you know, statistically, one of these days 265 00:16:02,840 --> 00:16:05,200 Speaker 1: it will work right. So, one of these days I'll 266 00:16:05,200 --> 00:16:07,520 Speaker 1: be able to get an actual crow on the podcast 267 00:16:07,560 --> 00:16:11,479 Speaker 1: and interview it, and I'll be like, how is your childhood? 268 00:16:11,480 --> 00:16:20,480 Speaker 1: And I'll go for this week's episode, I thought we 269 00:16:20,520 --> 00:16:23,200 Speaker 1: could do a fun game. I'll play some bird noises 270 00:16:23,240 --> 00:16:26,280 Speaker 1: and we'll see if you can identify the call. Which 271 00:16:26,360 --> 00:16:36,280 Speaker 1: corvette do you think is making this mournful crow? If 272 00:16:36,320 --> 00:16:39,160 Speaker 1: you guessed raven, give yourself a pat on the back. 273 00:16:40,040 --> 00:16:45,560 Speaker 1: And who do you think is making this sound? That's 274 00:16:45,600 --> 00:16:51,200 Speaker 1: a crow? And who do you think is making this call? 275 00:16:51,640 --> 00:16:55,000 Speaker 1: That's Joe the Raven at Clovis Zoo and New Mexico 276 00:16:55,160 --> 00:16:59,040 Speaker 1: saying Hangman's coming. And if you think that's spooky, wait 277 00:16:59,160 --> 00:17:01,640 Speaker 1: until we return earn when we talk about a murder 278 00:17:01,680 --> 00:17:10,280 Speaker 1: of crows and crow murder. So imagine that you're walking 279 00:17:10,320 --> 00:17:14,760 Speaker 1: through a nice, quiet college campus, the University of Washington 280 00:17:14,840 --> 00:17:19,080 Speaker 1: in Seattle. You see a few figures standing in the distance. 281 00:17:19,760 --> 00:17:23,280 Speaker 1: Even from far away, you can tell something isn't quite right. 282 00:17:23,800 --> 00:17:27,200 Speaker 1: As you approach, you notice they're holding something, as if 283 00:17:27,400 --> 00:17:31,399 Speaker 1: offering it to some unseen entity. It dums on you 284 00:17:31,480 --> 00:17:35,440 Speaker 1: that all the figures are wearing masks of human faces 285 00:17:35,800 --> 00:17:40,320 Speaker 1: that look almost realistic but not quite, and the thing 286 00:17:40,400 --> 00:17:44,160 Speaker 1: in their hands it's a dead crow. And around them 287 00:17:44,200 --> 00:17:48,040 Speaker 1: you hear the anguished cry of other crows. One of 288 00:17:48,040 --> 00:17:52,520 Speaker 1: the figures holds up a sign it reads crow studies, 289 00:17:52,640 --> 00:17:59,720 Speaker 1: do not be alarmed. So, kaylie, explain yourself. This is 290 00:18:00,080 --> 00:18:04,880 Speaker 1: a pretty well known study. And to the casual observer, 291 00:18:05,119 --> 00:18:09,920 Speaker 1: it looks like a bunch of people wearing humanoid maths, 292 00:18:10,040 --> 00:18:14,439 Speaker 1: holding a dead crow and pleading with people not to 293 00:18:14,520 --> 00:18:17,399 Speaker 1: be alarmed. So what is going on? What are you 294 00:18:17,400 --> 00:18:20,840 Speaker 1: guys up to? Is this some kind of occult ritual 295 00:18:20,960 --> 00:18:25,720 Speaker 1: or is this actual science? So your description of what 296 00:18:25,840 --> 00:18:29,119 Speaker 1: it would appear to be was is what it was, 297 00:18:30,280 --> 00:18:33,600 Speaker 1: and it was real science. Though I had multiple people 298 00:18:34,240 --> 00:18:37,720 Speaker 1: asked me if it was some kind of cult ritual, 299 00:18:37,840 --> 00:18:39,920 Speaker 1: In fact I was. I was trying to get one 300 00:18:39,960 --> 00:18:42,960 Speaker 1: woman in a Seattle neighborhood. She had a crow nest 301 00:18:43,440 --> 00:18:45,800 Speaker 1: crow that was nesting in her backyard. And one of 302 00:18:45,840 --> 00:18:48,000 Speaker 1: the important things and how we set up the experiments, 303 00:18:48,040 --> 00:18:51,159 Speaker 1: as we always made sure to distance them the same 304 00:18:51,359 --> 00:18:54,760 Speaker 1: distance away from nests, so that how the crows responded 305 00:18:54,840 --> 00:18:57,760 Speaker 1: we could trust wasn't being influenced by how close or 306 00:18:57,760 --> 00:18:59,960 Speaker 1: far we were, And so I explained to her the 307 00:19:00,000 --> 00:19:02,400 Speaker 1: whole thing. You know, I had business cards at this point. 308 00:19:02,480 --> 00:19:04,600 Speaker 1: I told her I was a researcher with the UDUB 309 00:19:04,680 --> 00:19:06,359 Speaker 1: and I wanted to do the study on crows. I 310 00:19:06,400 --> 00:19:07,919 Speaker 1: showed her where the crow nest was. We had a 311 00:19:07,920 --> 00:19:10,600 Speaker 1: really nice conversation. What you guys were looking at is 312 00:19:10,640 --> 00:19:13,040 Speaker 1: like how the crows were going to respond to this 313 00:19:13,200 --> 00:19:16,639 Speaker 1: dead crow that you had. Yes, so, and at this stage, 314 00:19:16,680 --> 00:19:18,480 Speaker 1: you know, I it was just me. I didn't have 315 00:19:18,480 --> 00:19:20,640 Speaker 1: any of this the stuff with me or the masks, 316 00:19:20,760 --> 00:19:22,560 Speaker 1: but I had kind of primed her on what we 317 00:19:22,600 --> 00:19:24,199 Speaker 1: would be doing and it's and it seemed to be 318 00:19:24,200 --> 00:19:26,200 Speaker 1: going very well. And at the very end of the 319 00:19:26,240 --> 00:19:29,320 Speaker 1: conversation she was like, okay, so just I just want 320 00:19:29,320 --> 00:19:33,439 Speaker 1: to make sure is this is this any kind of 321 00:19:33,480 --> 00:19:44,120 Speaker 1: like satanic worship thing? Is that this is like no? So, yes, 322 00:19:44,280 --> 00:19:47,200 Speaker 1: you are that far off in thinking that people thought 323 00:19:47,240 --> 00:19:50,320 Speaker 1: that because they really did. But no, one of those 324 00:19:50,440 --> 00:19:54,080 Speaker 1: D and D Satanic cult rituals you know that they 325 00:19:54,080 --> 00:19:57,600 Speaker 1: do with the dungeons and dragons. Yes, yeah, I got 326 00:19:57,640 --> 00:20:00,680 Speaker 1: that question. Had a police offic us or pull over 327 00:20:00,720 --> 00:20:03,159 Speaker 1: at one point and asked me this one I was. 328 00:20:03,280 --> 00:20:05,560 Speaker 1: I had to actually hear way, well, well, I'll pause 329 00:20:05,640 --> 00:20:08,600 Speaker 1: those stories. I have great stories about what people thought 330 00:20:08,600 --> 00:20:10,439 Speaker 1: we were doing, but I should probably tell you what 331 00:20:10,440 --> 00:20:15,560 Speaker 1: we were actually doing. So the question that I spent 332 00:20:16,080 --> 00:20:18,520 Speaker 1: my time as a graduate student at the U working 333 00:20:18,560 --> 00:20:24,200 Speaker 1: on was why are crows so interested in their dead? What? 334 00:20:24,600 --> 00:20:28,760 Speaker 1: How does that manifest? And why you are they doing it. 335 00:20:29,760 --> 00:20:33,240 Speaker 1: My first experiment was based off of a previous study 336 00:20:33,280 --> 00:20:36,400 Speaker 1: that had been done on California scrub jays, which are 337 00:20:36,640 --> 00:20:40,040 Speaker 1: jayser in the corve dat family, and they found that 338 00:20:40,160 --> 00:20:42,800 Speaker 1: jays had a pretty strong response to dead jays, and 339 00:20:42,840 --> 00:20:46,320 Speaker 1: they hypothesized and seemed to get support for this idea 340 00:20:46,440 --> 00:20:49,560 Speaker 1: that maybe this is kind of an extension of anti 341 00:20:49,600 --> 00:20:53,000 Speaker 1: predator behaviors because how they responded to dead jays seemed 342 00:20:53,000 --> 00:20:56,719 Speaker 1: pretty similar actually to how they responded to predators. So 343 00:20:56,880 --> 00:21:00,479 Speaker 1: we wanted to follow that up with crows, because crows 344 00:21:00,640 --> 00:21:05,000 Speaker 1: likewise seem to display really strong reactions to their dead. 345 00:21:05,800 --> 00:21:07,800 Speaker 1: But we wanted to narrow in and be a little 346 00:21:07,800 --> 00:21:11,439 Speaker 1: bit more specific and ask kind of, okay, so if 347 00:21:11,480 --> 00:21:14,920 Speaker 1: it is an extension of anti predator behaviors, are they 348 00:21:15,000 --> 00:21:19,040 Speaker 1: may be learning something that is useful to them, And 349 00:21:19,119 --> 00:21:22,119 Speaker 1: so we asked if crows might use these so called 350 00:21:22,160 --> 00:21:26,879 Speaker 1: funerals to learn about new places, dangerous places. So if 351 00:21:26,920 --> 00:21:29,439 Speaker 1: they see a dead crow in a particular area, do 352 00:21:29,520 --> 00:21:31,840 Speaker 1: they sort of take a mental note and are like, oh, 353 00:21:31,920 --> 00:21:34,160 Speaker 1: you got to be more careful here or or not? 354 00:21:34,960 --> 00:21:39,200 Speaker 1: And then could they maybe be learning new predators specifically people? 355 00:21:40,160 --> 00:21:42,920 Speaker 1: And the reason we picked people is because people are 356 00:21:42,960 --> 00:21:47,200 Speaker 1: a really interesting element in the crow world because we 357 00:21:47,280 --> 00:21:51,080 Speaker 1: fall on such a spectrum of attitudes and behaviors. Right like, 358 00:21:51,359 --> 00:21:53,920 Speaker 1: when a crow sees a red tail hawk, it can 359 00:21:54,000 --> 00:21:57,520 Speaker 1: pretty reliably predict that they're not going to be friends. 360 00:21:58,720 --> 00:22:01,800 Speaker 1: But people people can kind of go any number of ways. 361 00:22:01,800 --> 00:22:04,159 Speaker 1: They can turn out to just completely ignore them and 362 00:22:04,200 --> 00:22:07,240 Speaker 1: be sort of these neutral figures. They can be really 363 00:22:07,280 --> 00:22:10,000 Speaker 1: benevolent and offer them food and want to sort of 364 00:22:10,000 --> 00:22:14,640 Speaker 1: forge this relationship, or they can be sort of malicious 365 00:22:14,680 --> 00:22:17,920 Speaker 1: and even lethal. And so asking that question with people 366 00:22:18,040 --> 00:22:21,639 Speaker 1: is an interesting one because crows really do have this 367 00:22:21,760 --> 00:22:25,200 Speaker 1: moment where they sort of make an impression of somebody 368 00:22:25,240 --> 00:22:28,680 Speaker 1: that then you can measure when they encounter that person 369 00:22:28,720 --> 00:22:31,200 Speaker 1: in the future, which I think is really interesting too, 370 00:22:31,200 --> 00:22:34,639 Speaker 1: when you think about animal behavior in response to people, 371 00:22:34,680 --> 00:22:38,040 Speaker 1: where there are a lot of animals that just will 372 00:22:38,280 --> 00:22:42,840 Speaker 1: not necessarily learn to mediate their response to people, whereas 373 00:22:43,280 --> 00:22:47,640 Speaker 1: more social animals, like say the early ancestor to dogs, 374 00:22:47,960 --> 00:22:50,800 Speaker 1: this wolf like ancestor learned like, hey, I can actually 375 00:22:50,840 --> 00:22:54,120 Speaker 1: kind of go get close to some humans and they'll 376 00:22:54,160 --> 00:22:56,239 Speaker 1: actually feed me and they're actually good for me. So 377 00:22:56,280 --> 00:22:59,679 Speaker 1: it is it's always fascinating to me how some animals 378 00:23:00,000 --> 00:23:02,359 Speaker 1: to be the most simple examples like a housefly is 379 00:23:02,400 --> 00:23:06,760 Speaker 1: never gonna learn to be cool around a human like um. 380 00:23:06,840 --> 00:23:09,800 Speaker 1: But then you start to get more intelligent animals like 381 00:23:10,040 --> 00:23:13,600 Speaker 1: dogs but also birds, and they start to kind of 382 00:23:13,800 --> 00:23:18,080 Speaker 1: mediate their response, like actually, if I don't always run away, 383 00:23:18,119 --> 00:23:21,040 Speaker 1: if I don't always just automatically flee, I may actually 384 00:23:21,119 --> 00:23:24,200 Speaker 1: gain an advantage. Yeah, And I think that comparison between 385 00:23:24,280 --> 00:23:27,400 Speaker 1: crows and dogs is a really interesting one because both 386 00:23:27,480 --> 00:23:30,520 Speaker 1: of those animals have have really shown this sort of 387 00:23:30,560 --> 00:23:34,119 Speaker 1: co evolution with people where there's been this very clear 388 00:23:35,000 --> 00:23:38,760 Speaker 1: um evolutionary give and take where we have really shaped 389 00:23:38,920 --> 00:23:43,880 Speaker 1: them and vice versa. So getting back to our question 390 00:23:43,960 --> 00:23:46,760 Speaker 1: of you know, what are these funerals for? Is it 391 00:23:46,960 --> 00:23:50,120 Speaker 1: that they're an opportunity to learn about danger and here 392 00:23:50,119 --> 00:23:53,960 Speaker 1: are two specific things we can look to dangerous places 393 00:23:54,000 --> 00:23:57,440 Speaker 1: and dangerous people. And so the way that we actually 394 00:23:57,560 --> 00:24:02,800 Speaker 1: tested that was by going throughout the Seattle you know, 395 00:24:02,840 --> 00:24:07,000 Speaker 1: the city of Seattle, Greater Seattle area and identifying individual 396 00:24:07,040 --> 00:24:09,720 Speaker 1: breeding pairs. So we did this study all through the 397 00:24:09,800 --> 00:24:12,639 Speaker 1: spring and summer, and so we would identify a nest 398 00:24:12,680 --> 00:24:15,719 Speaker 1: and then we would sort of establish our experimental site 399 00:24:16,000 --> 00:24:19,119 Speaker 1: of certain distance away from the nest tree, and we 400 00:24:19,200 --> 00:24:22,280 Speaker 1: would start to feed them. Uh. And so what that 401 00:24:22,320 --> 00:24:24,440 Speaker 1: allowed us to do is over the course of three days, 402 00:24:24,480 --> 00:24:26,879 Speaker 1: we could get them used to coming to a place 403 00:24:26,920 --> 00:24:29,359 Speaker 1: for food. And that gave us a baseline of like 404 00:24:29,480 --> 00:24:32,440 Speaker 1: when we put you know, our our cheeto peanut combo down, 405 00:24:32,840 --> 00:24:37,320 Speaker 1: how quickly do they do? Cheetos were key because it 406 00:24:37,359 --> 00:24:41,480 Speaker 1: turns out, you know, crows like peanuts, but they don't 407 00:24:41,480 --> 00:24:44,840 Speaker 1: necessarily love them, and not every crow likes them, but 408 00:24:45,119 --> 00:24:49,439 Speaker 1: every crow likes Cheetos, And so that was kind of 409 00:24:49,600 --> 00:24:52,359 Speaker 1: early stages. We used bread, and then I couldn't use 410 00:24:52,400 --> 00:24:54,600 Speaker 1: bread because the goals would come in and they would 411 00:24:54,640 --> 00:24:57,720 Speaker 1: literally eat an entire loaf of bread before would even 412 00:24:57,760 --> 00:24:59,960 Speaker 1: show up. So it couldn't use bread, and then I 413 00:25:00,000 --> 00:25:02,399 Speaker 1: switched to peanuts, but it was just taking forever for 414 00:25:02,440 --> 00:25:04,600 Speaker 1: the crows to come. So then I finally like would 415 00:25:04,640 --> 00:25:06,320 Speaker 1: put out my big handful of peanuts and then I 416 00:25:06,320 --> 00:25:09,080 Speaker 1: would just like you know, salt Bay a little like 417 00:25:09,480 --> 00:25:12,040 Speaker 1: Cheetos on top, and then crows would come like that, 418 00:25:12,440 --> 00:25:16,240 Speaker 1: what's there? What's their favorite Cheetah's flavor? Just original classic? Yeah, 419 00:25:16,280 --> 00:25:18,720 Speaker 1: I just did original classic. I didn't want to get 420 00:25:18,760 --> 00:25:22,479 Speaker 1: too wild with any kind of season eggs, but that 421 00:25:22,560 --> 00:25:24,720 Speaker 1: gave us a baseline of of how quickly to crows 422 00:25:24,760 --> 00:25:26,720 Speaker 1: come down to the food, and then on the fourth 423 00:25:26,800 --> 00:25:29,720 Speaker 1: day we would introduce our our funeral element. There was 424 00:25:29,720 --> 00:25:32,720 Speaker 1: actually a few things we tested, but the most relevant 425 00:25:32,760 --> 00:25:37,199 Speaker 1: one to this conversation is a masked person holding a 426 00:25:37,240 --> 00:25:40,680 Speaker 1: dead crow. And the reason that we use those sort 427 00:25:40,720 --> 00:25:44,439 Speaker 1: of you know, Uncanny Valley style masks where they're very 428 00:25:44,480 --> 00:25:47,520 Speaker 1: sort of human like but but off right they kind 429 00:25:47,520 --> 00:25:50,359 Speaker 1: of look like a Michael Myers mask where it's like 430 00:25:50,440 --> 00:25:52,399 Speaker 1: because like the Michael Myers mask was just like I 431 00:25:52,440 --> 00:25:56,680 Speaker 1: think it casts of like Will Shatner's face, but like 432 00:25:56,800 --> 00:26:00,160 Speaker 1: with slightly more flesh colored, because like Michael Myers, that's 433 00:26:00,280 --> 00:26:03,240 Speaker 1: sort of a gray color. But your masks are slightly 434 00:26:03,280 --> 00:26:07,560 Speaker 1: more realistic, but it's still very creepy to look at. 435 00:26:07,920 --> 00:26:11,360 Speaker 1: It's very creepy. And the reason for that is so 436 00:26:11,400 --> 00:26:15,480 Speaker 1: originally in the so there was a facial recognition specific 437 00:26:15,520 --> 00:26:18,040 Speaker 1: study that was done out of the U DUB and 438 00:26:18,080 --> 00:26:20,800 Speaker 1: out of the lab that I eventually became a graduate student. 439 00:26:20,960 --> 00:26:23,280 Speaker 1: That's so they probably happened maybe five years before I 440 00:26:23,359 --> 00:26:25,760 Speaker 1: joined the lab. And for that study where they were 441 00:26:25,800 --> 00:26:30,920 Speaker 1: just asking can crows recognized people, they originally started with 442 00:26:31,320 --> 00:26:36,280 Speaker 1: these sort of cartoonish political masks, and they got some 443 00:26:36,480 --> 00:26:40,480 Speaker 1: very reasonable criticism that, well, of course crows are going 444 00:26:40,520 --> 00:26:43,760 Speaker 1: to remember that that's so different than a normal humans face, 445 00:26:43,920 --> 00:26:46,560 Speaker 1: Like you're really sort of giving them an edge by 446 00:26:46,680 --> 00:26:53,040 Speaker 1: using these very exaggerated masks. So to address that, John Marslist, 447 00:26:53,080 --> 00:26:54,960 Speaker 1: who's who was my p I and who ran that 448 00:26:55,000 --> 00:26:59,680 Speaker 1: facial recognition study, had an actual costume maker come in 449 00:27:00,000 --> 00:27:03,959 Speaker 1: and take molds of real people's faces. So when I 450 00:27:04,000 --> 00:27:05,879 Speaker 1: go out there and I told my volunteer, you know, 451 00:27:05,920 --> 00:27:08,080 Speaker 1: today you're gonna be Linda, Tomorrow you're gonna be Vivian, 452 00:27:08,119 --> 00:27:10,080 Speaker 1: people are always like ha l O l you named 453 00:27:10,080 --> 00:27:13,800 Speaker 1: your masks, and I'm like, no, Linda is a real person. 454 00:27:13,960 --> 00:27:18,240 Speaker 1: That's really her face. We stole her face. We stole 455 00:27:18,280 --> 00:27:20,960 Speaker 1: her face. And so the reason that the masks look 456 00:27:21,200 --> 00:27:24,440 Speaker 1: so creepy is because it really looks like you cut 457 00:27:24,520 --> 00:27:27,040 Speaker 1: somebody's face off and are just wearing it. But that's 458 00:27:27,040 --> 00:27:30,520 Speaker 1: the idea, right, that's how you make it realistic. And fortunately, 459 00:27:30,560 --> 00:27:33,320 Speaker 1: because crows don't have the same kind of frame of 460 00:27:33,400 --> 00:27:38,560 Speaker 1: reference for you know, Mike Myers, Michael Myers different Michael 461 00:27:38,560 --> 00:27:45,520 Speaker 1: myerscar both scary because they don't have that frame of reference, Like, 462 00:27:45,520 --> 00:27:47,639 Speaker 1: they're not going to be like scared, they're just they 463 00:27:47,720 --> 00:27:50,840 Speaker 1: might think, like, that person looks a little you know, off, 464 00:27:50,960 --> 00:27:54,080 Speaker 1: or maybe they don't notice it at all, hopefully the latter. 465 00:27:54,600 --> 00:27:57,840 Speaker 1: But there's certainly a much better approximation for a human 466 00:27:57,840 --> 00:28:00,720 Speaker 1: face than those sort of cartoonish mask right. Yet it 467 00:28:00,880 --> 00:28:03,960 Speaker 1: you know spirit Halloween store, right, And you don't want 468 00:28:04,040 --> 00:28:07,200 Speaker 1: to train them on a real person, right because first 469 00:28:07,200 --> 00:28:12,159 Speaker 1: of all, it's harder to control, like for facial expression. Also, 470 00:28:12,640 --> 00:28:15,000 Speaker 1: the crows will harass that person for the rest of 471 00:28:15,040 --> 00:28:19,199 Speaker 1: their life. Those are two excellent reasons, and then the 472 00:28:19,359 --> 00:28:21,479 Speaker 1: third is, you know, if you're going to do a 473 00:28:21,520 --> 00:28:24,760 Speaker 1: long term study where you want to expose them to 474 00:28:24,840 --> 00:28:27,080 Speaker 1: the same face over and over and over again. If 475 00:28:27,119 --> 00:28:30,120 Speaker 1: you're using a real person, that's a lot of pressure 476 00:28:30,160 --> 00:28:33,120 Speaker 1: and you're going to need to steal their face right right, 477 00:28:33,240 --> 00:28:35,639 Speaker 1: Like you know, you can't ask somebody to quit their 478 00:28:35,720 --> 00:28:38,240 Speaker 1: job in their life to come participate a crosstate for 479 00:28:38,240 --> 00:28:40,719 Speaker 1: the next ten years. Had an area stark in that 480 00:28:40,800 --> 00:28:44,920 Speaker 1: study would have been perfect exactly. So that's why we 481 00:28:45,040 --> 00:28:47,600 Speaker 1: use mass people to hold their dead crows. And so 482 00:28:47,680 --> 00:28:50,840 Speaker 1: that sort of establishes the like crows are used to 483 00:28:50,920 --> 00:28:53,400 Speaker 1: coming to a place to get said, one of these 484 00:28:53,480 --> 00:28:56,400 Speaker 1: days they show up and like, oh no, there's a person. 485 00:28:56,680 --> 00:28:58,920 Speaker 1: They're holding a dead crow. So kind of step one 486 00:28:59,160 --> 00:29:02,320 Speaker 1: from a data colle action perspective, or step two is 487 00:29:03,360 --> 00:29:06,600 Speaker 1: what does that moment look like? How many crows show up, 488 00:29:06,720 --> 00:29:10,000 Speaker 1: what kinds of sounds are they're making, how long do 489 00:29:10,120 --> 00:29:14,720 Speaker 1: they stick around for the police? Do they call the police? Yeah, 490 00:29:14,800 --> 00:29:17,840 Speaker 1: all those different kinds of questions. And then for the 491 00:29:17,880 --> 00:29:22,240 Speaker 1: next three days we reverted back to putting the food out. 492 00:29:23,120 --> 00:29:26,640 Speaker 1: So that's our first moment to look at do they 493 00:29:26,680 --> 00:29:30,120 Speaker 1: seem to be making any kind of mental note about this? Place, 494 00:29:30,640 --> 00:29:32,920 Speaker 1: because if the answer is no, then we would expect 495 00:29:33,080 --> 00:29:35,880 Speaker 1: to just be business as usual. Next day, they see 496 00:29:35,880 --> 00:29:38,640 Speaker 1: those cheetahs and they're like, all right, sweet food, time 497 00:29:38,760 --> 00:29:41,880 Speaker 1: come down, right. I wouldn't expect there to be any change, Right, 498 00:29:41,920 --> 00:29:44,640 Speaker 1: there was just a brutal murder here the other day, 499 00:29:44,640 --> 00:29:47,960 Speaker 1: But hey cheetahs, But hey cheetahs, exactly, We're going to 500 00:29:48,080 --> 00:29:50,360 Speaker 1: just come down just as quickly as we had been 501 00:29:50,520 --> 00:29:53,560 Speaker 1: over the course of those first three days. And then 502 00:29:53,600 --> 00:29:57,680 Speaker 1: the kind of second big test was if they see 503 00:29:57,720 --> 00:30:01,760 Speaker 1: that same mass person again, be a week later, only 504 00:30:01,920 --> 00:30:05,320 Speaker 1: now you know they're not holding a dead crow. Are 505 00:30:05,400 --> 00:30:08,480 Speaker 1: they going to just ignore them like any other schmell 506 00:30:08,600 --> 00:30:10,840 Speaker 1: on the street or are they going to freak out? 507 00:30:11,800 --> 00:30:13,840 Speaker 1: And we found that the answer to both of those 508 00:30:13,920 --> 00:30:18,640 Speaker 1: questions was yes, they do show more wariness after these 509 00:30:18,680 --> 00:30:21,520 Speaker 1: events in those areas even without that person or the 510 00:30:21,560 --> 00:30:24,680 Speaker 1: dead crow around, and the majority of birds in our 511 00:30:24,720 --> 00:30:29,320 Speaker 1: study if they saw that person again, would display behaviors 512 00:30:29,720 --> 00:30:32,800 Speaker 1: consistent with how they respond to threats, like they would dive, 513 00:30:32,880 --> 00:30:37,480 Speaker 1: bond them and alarm call, they would follow them. Uh. 514 00:30:37,480 --> 00:30:40,040 Speaker 1: And we obviously did a lot of controls to kind 515 00:30:40,040 --> 00:30:43,320 Speaker 1: of make sure that you know, as as one does 516 00:30:43,320 --> 00:30:45,760 Speaker 1: in science, to make sure that they're not inherently afraid 517 00:30:45,800 --> 00:30:49,320 Speaker 1: of these maths, that they don't inherently start not coming 518 00:30:49,360 --> 00:30:51,680 Speaker 1: to food after periods of time, Right, Like if Michael 519 00:30:51,720 --> 00:30:54,760 Speaker 1: Myers doesn't hold up a dead crow to them but 520 00:30:54,880 --> 00:30:57,160 Speaker 1: only feeds them Cheetos, they're not going to freak out. 521 00:30:57,520 --> 00:30:59,840 Speaker 1: They're not going to freak out. And I did that. 522 00:31:00,160 --> 00:31:02,320 Speaker 1: I literally did that experiment, so I could say that 523 00:31:02,400 --> 00:31:07,720 Speaker 1: for sure if Michael Myers or like creepy clowns were 524 00:31:07,720 --> 00:31:10,440 Speaker 1: only scared of them, because we associate that kind of 525 00:31:10,440 --> 00:31:12,640 Speaker 1: thing with like, oh, then they stab us. But if 526 00:31:12,680 --> 00:31:14,880 Speaker 1: they just offer us cheetos all the time and they're 527 00:31:14,920 --> 00:31:18,120 Speaker 1: pretty chill, you know, we're not gonna uh, we're not 528 00:31:18,160 --> 00:31:19,720 Speaker 1: going to be scared of them. And the same thing 529 00:31:19,920 --> 00:31:24,040 Speaker 1: the same thing with crows, it seems, which is really excellent. Yes, absolutely, 530 00:31:24,200 --> 00:31:27,440 Speaker 1: I mean it's I love that crows have good horror 531 00:31:27,480 --> 00:31:31,680 Speaker 1: movie survival instincts, Like you know what I mean, you 532 00:31:31,720 --> 00:31:34,360 Speaker 1: watch a horror movie. A lot of the characters in 533 00:31:34,400 --> 00:31:37,160 Speaker 1: a horror movie just have the worst instincts, like, oh, 534 00:31:37,200 --> 00:31:41,960 Speaker 1: I saw a man wearing like a leather face, Uh, 535 00:31:42,240 --> 00:31:45,240 Speaker 1: maybe I follow him, you know, just like, oh, there's 536 00:31:45,320 --> 00:31:48,320 Speaker 1: there's someone covered in blood. I'll go down the stairs 537 00:31:48,320 --> 00:31:50,440 Speaker 1: into the basement to see what they're up to. Like now, 538 00:31:50,520 --> 00:31:53,560 Speaker 1: these crows, like I will call for any reinforcements or 539 00:31:53,600 --> 00:31:56,320 Speaker 1: anything like that. I'm just gonna go. Yeah. Now, crows 540 00:31:56,360 --> 00:31:59,360 Speaker 1: are are very adapt at calling for reinforcements when they 541 00:31:59,400 --> 00:32:03,640 Speaker 1: think something nefarious is a foot right, and that that 542 00:32:03,800 --> 00:32:07,640 Speaker 1: is what we were able to show. So the visually, 543 00:32:07,760 --> 00:32:09,480 Speaker 1: the kind of set up for this, just so your 544 00:32:09,520 --> 00:32:12,440 Speaker 1: listeners can picture it a little better. Is so my 545 00:32:12,640 --> 00:32:17,040 Speaker 1: role I was lucky and that I never was the target. 546 00:32:17,520 --> 00:32:21,560 Speaker 1: So I was kind of the the nice, benevolent feeder. 547 00:32:21,600 --> 00:32:23,800 Speaker 1: I would I would show up with my little clipboard 548 00:32:23,800 --> 00:32:26,120 Speaker 1: and my camera on a tripod and I would put 549 00:32:26,120 --> 00:32:27,880 Speaker 1: the food out. So at first they'd see me in 550 00:32:27,920 --> 00:32:29,920 Speaker 1: that context. Where are you wearing a mask for that 551 00:32:29,960 --> 00:32:32,240 Speaker 1: as well? Or I wasn't. I was just myself for 552 00:32:32,280 --> 00:32:35,360 Speaker 1: that cool. So like now they are like, hey, it's Kayleie, 553 00:32:35,400 --> 00:32:38,280 Speaker 1: like she's a friend of crows, and yes it is. 554 00:32:38,320 --> 00:32:40,720 Speaker 1: That's how I met my best crow friend. Go I 555 00:32:40,800 --> 00:32:44,840 Speaker 1: actually go the crow yep, Because I I couldn't, you know, 556 00:32:44,880 --> 00:32:48,680 Speaker 1: I didn't engage in any supplementary feeding when the experiment 557 00:32:48,720 --> 00:32:50,280 Speaker 1: was going on, like I could only feed them in 558 00:32:50,320 --> 00:32:52,760 Speaker 1: that context. But then once it was done, then it 559 00:32:52,840 --> 00:32:56,920 Speaker 1: could be you know, all once the study is over, 560 00:32:57,600 --> 00:33:01,960 Speaker 1: is it ethical to become friends with your participants if 561 00:33:02,000 --> 00:33:05,600 Speaker 1: the participant is a crow? Yes, the answer is yes, 562 00:33:06,840 --> 00:33:10,560 Speaker 1: and I did. Um. So I was always kind of 563 00:33:10,560 --> 00:33:13,160 Speaker 1: standing there, you know, with my my camera and my clipboard, 564 00:33:13,200 --> 00:33:16,520 Speaker 1: and then I would have volunteers come and they would be, 565 00:33:16,600 --> 00:33:19,719 Speaker 1: you know, my my sort of like murderers, sort as 566 00:33:19,760 --> 00:33:22,640 Speaker 1: big they put the masks on and all of that, 567 00:33:22,760 --> 00:33:24,960 Speaker 1: and just as a way of sort of keeping and 568 00:33:25,000 --> 00:33:27,880 Speaker 1: collecting data, even just as it related to how quickly 569 00:33:27,960 --> 00:33:30,640 Speaker 1: the crows would come to the food. Outside of you know, 570 00:33:30,680 --> 00:33:34,400 Speaker 1: the main funeral day, I always had that tripod and 571 00:33:34,480 --> 00:33:36,720 Speaker 1: that seemed to be the thing that really caught a 572 00:33:36,760 --> 00:33:40,600 Speaker 1: lot of people's attention. Actually, So you know, we we 573 00:33:40,680 --> 00:33:44,840 Speaker 1: ran into a fair number shenanigans during the funeral experiments 574 00:33:44,840 --> 00:33:48,800 Speaker 1: where we would have upset homeowners. I mean, you guys 575 00:33:48,840 --> 00:33:52,200 Speaker 1: were wearing like serial killer masks holding up dead crows 576 00:33:52,360 --> 00:33:55,320 Speaker 1: while we had to sign Katie, as you said, we 577 00:33:55,440 --> 00:33:59,360 Speaker 1: had those signs. Yeah, I mean, if someone's like has 578 00:33:59,480 --> 00:34:02,760 Speaker 1: like a big bloody knife and like a crazy clown mask. 579 00:34:02,880 --> 00:34:05,400 Speaker 1: But they have a sign like do not be alarmed 580 00:34:05,520 --> 00:34:09,640 Speaker 1: clown study. I'll instantly relax. It'll be fine, of course, 581 00:34:09,800 --> 00:34:12,879 Speaker 1: of course. Yeah, no, I I can't blame you, and 582 00:34:13,200 --> 00:34:15,759 Speaker 1: you know I couldn't. I didn't blame people at the 583 00:34:15,760 --> 00:34:18,560 Speaker 1: time either. I think, um, people absolutely have a right 584 00:34:18,600 --> 00:34:22,080 Speaker 1: to be curious. Uh and aware. Did you ever get 585 00:34:22,080 --> 00:34:26,360 Speaker 1: the cops called on you? I did frequently, actually, yeah, 586 00:34:26,480 --> 00:34:29,359 Speaker 1: And they eventually they would kind of be like, are 587 00:34:29,360 --> 00:34:32,719 Speaker 1: you dumb one of those people, and I'll be like, 588 00:34:33,320 --> 00:34:35,640 Speaker 1: and then you just sort of take my name and 589 00:34:35,640 --> 00:34:38,040 Speaker 1: and there was a few times. My favorite was I 590 00:34:38,120 --> 00:34:40,120 Speaker 1: was doing one of these near Magnusent Park, which is 591 00:34:40,280 --> 00:34:43,680 Speaker 1: a pretty big park in Seattle, well known. And again 592 00:34:43,760 --> 00:34:47,240 Speaker 1: like I have my my volunteer, and this particular volunteer 593 00:34:47,280 --> 00:34:51,160 Speaker 1: got me in the trouble the most because Joel, he 594 00:34:51,320 --> 00:34:54,120 Speaker 1: was a sweetheart. He actually ended up taking a taxidermy 595 00:34:54,160 --> 00:34:56,719 Speaker 1: class and being my main taxidermist for the rest of 596 00:34:56,719 --> 00:35:02,040 Speaker 1: my studies. He was invaluable. But he's like six, like nine, 597 00:35:02,280 --> 00:35:05,720 Speaker 1: it's just a huge dude. Uh. And he he really 598 00:35:05,760 --> 00:35:07,640 Speaker 1: likes or at the time he would wear like kind 599 00:35:07,640 --> 00:35:10,799 Speaker 1: of mostly black and camma, and so seeing him in 600 00:35:10,840 --> 00:35:14,319 Speaker 1: one of those masks really freaked people out. And I 601 00:35:14,360 --> 00:35:16,600 Speaker 1: remember we were doing one of these studies near Magnazine 602 00:35:16,600 --> 00:35:19,640 Speaker 1: and this old, older woman came up to me and 603 00:35:19,680 --> 00:35:22,239 Speaker 1: she was like, you know, demanding to know what are 604 00:35:22,280 --> 00:35:24,600 Speaker 1: you doing. And so I explained, you know, I'm I'm 605 00:35:24,640 --> 00:35:26,840 Speaker 1: a researcher with you, dub. We're doing this experiment. And 606 00:35:26,880 --> 00:35:29,880 Speaker 1: that was one of the tests that involved also a 607 00:35:29,960 --> 00:35:32,640 Speaker 1: stuffed redtail hawk. So there was a redtail hawk on 608 00:35:32,680 --> 00:35:37,319 Speaker 1: the ground not far from well. The hawks actually were 609 00:35:37,360 --> 00:35:41,960 Speaker 1: like lifelike mounts um so they're they're even more sort 610 00:35:41,960 --> 00:35:45,239 Speaker 1: of conspicuous because they're kind of standing right. And so 611 00:35:45,280 --> 00:35:48,239 Speaker 1: I'm pointing all this stuff out and I have my clipboard. 612 00:35:48,360 --> 00:35:51,279 Speaker 1: It's full of data. You know, we've got our signs on, 613 00:35:51,320 --> 00:35:53,840 Speaker 1: I have a tripod. And I finished explaining it to 614 00:35:53,840 --> 00:35:56,840 Speaker 1: her and she goes, I don't believe you. I'm selling 615 00:35:56,920 --> 00:36:02,760 Speaker 1: the cops. It's just like, wow, what an elaborate ruse. 616 00:36:02,840 --> 00:36:06,879 Speaker 1: Can you act? We had just made all that up, 617 00:36:06,920 --> 00:36:09,000 Speaker 1: and so, you know, it was it was never a 618 00:36:09,000 --> 00:36:11,799 Speaker 1: big deal. I mean, like, do you think like Satanists 619 00:36:11,800 --> 00:36:15,080 Speaker 1: really have like a printed out Excel spreadsheet, Like is 620 00:36:15,120 --> 00:36:19,560 Speaker 1: that I mean, I maybe, look, I think that, you know, 621 00:36:19,640 --> 00:36:22,560 Speaker 1: I think the actual Church of Satan is pretty pretty chill, 622 00:36:23,120 --> 00:36:25,880 Speaker 1: Like there's like an actual Church of Satan and they're 623 00:36:26,040 --> 00:36:30,200 Speaker 1: mostly their thing is like I think religious freedom. We 624 00:36:30,280 --> 00:36:32,919 Speaker 1: have freedom, freedom of speech. Yeah, and just making sure 625 00:36:33,000 --> 00:36:36,359 Speaker 1: that I'm sure they are like actual practicing occultists who 626 00:36:36,560 --> 00:36:40,480 Speaker 1: uh who like a spreadsheet. So I don't want to generalize, 627 00:36:40,520 --> 00:36:44,560 Speaker 1: but I think typically I don't, I don't know. I mean, like, 628 00:36:44,680 --> 00:36:47,120 Speaker 1: right to me, if you're into the occult and like 629 00:36:47,239 --> 00:36:50,560 Speaker 1: you like to be organized and you have spreadsheets and 630 00:36:50,800 --> 00:36:53,719 Speaker 1: data and you run q Q plots, like, let me 631 00:36:53,800 --> 00:36:57,040 Speaker 1: know if that's the whole thing in acol, let me 632 00:36:57,120 --> 00:37:00,120 Speaker 1: know to find that, just so I can s to, 633 00:37:00,800 --> 00:37:05,239 Speaker 1: you know, craft this description more accurately. We had a 634 00:37:05,280 --> 00:37:07,880 Speaker 1: lot of sort of funny run ins and and I 635 00:37:07,960 --> 00:37:10,000 Speaker 1: but I do like to always sort of take a 636 00:37:10,040 --> 00:37:13,000 Speaker 1: moment to appreciate that, you know, for me, those stories 637 00:37:13,040 --> 00:37:15,560 Speaker 1: of being out in the field and having the cops 638 00:37:15,600 --> 00:37:18,040 Speaker 1: called and them coming and asking a few questions is 639 00:37:18,080 --> 00:37:20,480 Speaker 1: something that you know was never sort of threatening and 640 00:37:20,680 --> 00:37:24,560 Speaker 1: I can laugh about now, but recognizing that that's absolutely 641 00:37:24,600 --> 00:37:28,760 Speaker 1: not true for a lot of people, particularly people of color, 642 00:37:28,840 --> 00:37:32,120 Speaker 1: and that really sucks. It sucks for me to imagine 643 00:37:32,160 --> 00:37:36,520 Speaker 1: that my whiteness made doing this research possible in a 644 00:37:36,560 --> 00:37:39,200 Speaker 1: way that I might not have otherwise. And so I 645 00:37:39,280 --> 00:37:42,640 Speaker 1: like to laugh about these stories, but I am careful. 646 00:37:42,640 --> 00:37:45,319 Speaker 1: I try and be careful of recognizing that there's lots 647 00:37:45,320 --> 00:37:47,799 Speaker 1: of contexts where those stories wouldn't be funny at all, 648 00:37:47,840 --> 00:37:50,360 Speaker 1: and that's something we need to work on. Yeah, exactly. 649 00:37:50,400 --> 00:37:53,920 Speaker 1: I mean, there's the black Birders movement that I definitely 650 00:37:54,000 --> 00:37:57,160 Speaker 1: encourage people to check out on Twitter because in the 651 00:37:57,200 --> 00:38:02,200 Speaker 1: wake of the Central Park in it where a black birder, 652 00:38:02,480 --> 00:38:06,160 Speaker 1: Christian Cooper, was threatened by this white lady who said 653 00:38:06,200 --> 00:38:09,960 Speaker 1: that she would call the cops on him and specifically 654 00:38:10,000 --> 00:38:12,960 Speaker 1: tell them that he's black. She was clearly using the 655 00:38:13,000 --> 00:38:17,240 Speaker 1: cops to threaten his safety and intimidate them just because 656 00:38:17,320 --> 00:38:19,560 Speaker 1: he asked her to put her dog on a leash. 657 00:38:20,000 --> 00:38:23,120 Speaker 1: Another thing, don't have your dogs off leash, guys, because 658 00:38:23,120 --> 00:38:27,319 Speaker 1: that's really bad for birds or cats or cats. Yeah, 659 00:38:27,480 --> 00:38:30,040 Speaker 1: cats are bad too, they like to eat birds. Just 660 00:38:30,239 --> 00:38:33,200 Speaker 1: keep your keep your pets up. I love cats and dogs, 661 00:38:33,239 --> 00:38:35,520 Speaker 1: but not great for birds. So keep them in check 662 00:38:35,600 --> 00:38:37,960 Speaker 1: there and this guy was just asking her to put 663 00:38:37,960 --> 00:38:40,640 Speaker 1: her dog on leash and she called the cops on 664 00:38:40,719 --> 00:38:43,560 Speaker 1: him instead, which, as we know in this country isn't 665 00:38:43,600 --> 00:38:47,760 Speaker 1: actual can threaten your life if you are a person 666 00:38:47,800 --> 00:38:50,319 Speaker 1: of color. So I think that, yeah, it is. It 667 00:38:50,480 --> 00:38:53,759 Speaker 1: is interesting where it's like it does. It's like it's 668 00:38:53,800 --> 00:38:56,759 Speaker 1: sort of you guys can get away with a lot 669 00:38:56,800 --> 00:39:01,600 Speaker 1: of occult seeming stuff through through privilege and warranted a 670 00:39:01,680 --> 00:39:05,719 Speaker 1: number of pretty strange and funny questions, from Accolt to 671 00:39:06,600 --> 00:39:10,319 Speaker 1: Pokemon Go and everything in between. There are people will 672 00:39:10,800 --> 00:39:12,480 Speaker 1: make up all kinds of stories when they say a 673 00:39:12,520 --> 00:39:15,360 Speaker 1: person with a camera and they're just judging you based 674 00:39:15,400 --> 00:39:17,319 Speaker 1: on the fact that you have a camera. There are 675 00:39:17,360 --> 00:39:21,239 Speaker 1: people in masks holding dead crows. It's very judgmental. It's 676 00:39:22,200 --> 00:39:24,239 Speaker 1: I don't I don't know where people get off this 677 00:39:24,400 --> 00:39:30,480 Speaker 1: kind of stuff. Let's play another round of auditory guests 678 00:39:30,520 --> 00:39:36,480 Speaker 1: that Corvid, who do you suppose this is? That's a 679 00:39:36,600 --> 00:39:39,640 Speaker 1: carrion crow from the weather All Animal Rescue in the 680 00:39:39,800 --> 00:39:43,960 Speaker 1: UK saying hello. When we return, We're going to find 681 00:39:44,000 --> 00:39:52,160 Speaker 1: out how smart Corvid's really are. If I told you 682 00:39:52,280 --> 00:39:57,160 Speaker 1: this was a crow call, would you believe me. Well, 683 00:39:57,200 --> 00:39:59,920 Speaker 1: it certainly is, but it's no common crow or care 684 00:40:00,000 --> 00:40:03,640 Speaker 1: arian crow. It's the call of a new Caledonian crow 685 00:40:04,000 --> 00:40:06,319 Speaker 1: who happened to have quite a few tricks up their 686 00:40:06,360 --> 00:40:12,960 Speaker 1: sleeves or feathers. So we talked about your what it's 687 00:40:13,040 --> 00:40:17,040 Speaker 1: like to have done your crow funeral research, and how 688 00:40:17,120 --> 00:40:20,760 Speaker 1: it showed that they were able to learn people's faces. 689 00:40:20,840 --> 00:40:22,799 Speaker 1: We already knew that, but they were also able to 690 00:40:23,400 --> 00:40:27,759 Speaker 1: identify those faces as being dangerous, like they they responded differently. 691 00:40:27,800 --> 00:40:29,839 Speaker 1: If you're holding up the dead crow, they would freak 692 00:40:29,840 --> 00:40:33,160 Speaker 1: out there like this person is potentially dangerous. And they 693 00:40:33,280 --> 00:40:37,319 Speaker 1: also treated the location as a potential danger and were 694 00:40:37,640 --> 00:40:40,800 Speaker 1: more careful next time they came by. Even the allure 695 00:40:40,880 --> 00:40:43,239 Speaker 1: of cheetahs was not enough to get them to come 696 00:40:43,239 --> 00:40:46,640 Speaker 1: by without some caution. Yeah, and that, and that was 697 00:40:46,680 --> 00:40:49,360 Speaker 1: an important distinction because it would have actually been awesome 698 00:40:49,680 --> 00:40:52,960 Speaker 1: if um, the funeral event was enough to get them 699 00:40:53,000 --> 00:40:55,360 Speaker 1: to be like, Nope, I'm out of here, no peanuts 700 00:40:55,400 --> 00:40:58,719 Speaker 1: or cheetos from me. That would have lended itself to 701 00:40:58,840 --> 00:41:02,200 Speaker 1: a really easy see a useful management tool if there 702 00:41:02,200 --> 00:41:05,279 Speaker 1: are if there were situations, say you know where they've 703 00:41:05,320 --> 00:41:08,759 Speaker 1: been depredating on a sensitive species. If we could just 704 00:41:08,840 --> 00:41:10,879 Speaker 1: hang one of these for half an hour and take 705 00:41:10,920 --> 00:41:12,919 Speaker 1: it down and the crow stopped coming by, that would 706 00:41:12,920 --> 00:41:17,080 Speaker 1: be awesome. If scarecrows really worked, I don't think. I 707 00:41:17,200 --> 00:41:19,680 Speaker 1: think we would have solved that problem a long time ago. 708 00:41:20,200 --> 00:41:23,279 Speaker 1: That is absolutely true. So, yeah, it wasn't enough to 709 00:41:23,320 --> 00:41:27,200 Speaker 1: get them to completely evacuate, but they were cautious. Yeah. 710 00:41:27,280 --> 00:41:32,160 Speaker 1: Do you think that they can actually mourn their dead 711 00:41:32,480 --> 00:41:36,600 Speaker 1: or is it purely a survival instinct or is that 712 00:41:37,320 --> 00:41:41,200 Speaker 1: is even that distinction sort of fuzzy because it makes 713 00:41:41,200 --> 00:41:44,719 Speaker 1: me wonder like if our original like our mourning and 714 00:41:44,800 --> 00:41:48,520 Speaker 1: our fear of death and our sort of ritual around 715 00:41:48,800 --> 00:41:54,560 Speaker 1: death has something to do with self preservation that gets 716 00:41:54,560 --> 00:41:57,600 Speaker 1: extended into sort of these deep emotional places. So, just 717 00:41:57,719 --> 00:42:00,560 Speaker 1: from from your sort of observed asians, like, do you 718 00:42:00,560 --> 00:42:04,000 Speaker 1: think crows have like a a sense of death and 719 00:42:04,080 --> 00:42:06,080 Speaker 1: a sense of morning or do you think it is 720 00:42:06,120 --> 00:42:09,400 Speaker 1: that distinction hard to make at this point. I don't know, 721 00:42:09,520 --> 00:42:13,120 Speaker 1: and I'm really comfortable not knowing the answer to that question. 722 00:42:13,520 --> 00:42:16,400 Speaker 1: I think that we can be very confident that crows 723 00:42:16,640 --> 00:42:20,839 Speaker 1: use dead crows as a queue of risk and as 724 00:42:20,880 --> 00:42:24,240 Speaker 1: a learning opportunity, and I think it makes absolute sense 725 00:42:24,360 --> 00:42:28,880 Speaker 1: that for animals that do have really more ritualistic and 726 00:42:28,960 --> 00:42:32,880 Speaker 1: more emotionally invested responses, that that might have been the impetus, 727 00:42:33,000 --> 00:42:36,480 Speaker 1: right because we didn't go from nothing to you know, 728 00:42:36,800 --> 00:42:40,040 Speaker 1: a New Orleans funeral. There was a lot in between there, 729 00:42:40,960 --> 00:42:43,600 Speaker 1: and so so it makes sense that that first kind 730 00:42:43,640 --> 00:42:46,920 Speaker 1: of attentiveness might come from a place of self preservation. 731 00:42:48,000 --> 00:42:50,120 Speaker 1: But when we look at crows, I mean, these are 732 00:42:50,160 --> 00:42:54,520 Speaker 1: incredibly social animals, they're incredibly intelligent animals. When we look 733 00:42:54,520 --> 00:42:57,960 Speaker 1: at their brains, there's nothing we can point to to say, 734 00:42:58,120 --> 00:43:01,080 Speaker 1: we'll see here their missing this. This is why they 735 00:43:01,120 --> 00:43:05,160 Speaker 1: couldn't have the emotional intelligence of of a primate or 736 00:43:05,200 --> 00:43:08,640 Speaker 1: adulphin or human. They're just missing a chunk of brain 737 00:43:09,080 --> 00:43:11,680 Speaker 1: right there. Just that there's just it's just it's also 738 00:43:11,760 --> 00:43:14,520 Speaker 1: just not how brains work in general, Like you don't 739 00:43:14,680 --> 00:43:17,600 Speaker 1: like you can literally have a chunk of your brain 740 00:43:17,680 --> 00:43:21,240 Speaker 1: taken out and your brain is so it's called neuroplasticity, 741 00:43:21,360 --> 00:43:25,320 Speaker 1: that your brain can reorganize itself, that you actually regain 742 00:43:25,400 --> 00:43:27,799 Speaker 1: some of the abilities in certain cases, not always like 743 00:43:27,840 --> 00:43:30,920 Speaker 1: but you can actually regain abilities that are literally carved 744 00:43:30,920 --> 00:43:34,000 Speaker 1: out of your brain because it is a very complex 745 00:43:34,040 --> 00:43:36,960 Speaker 1: system in terms of evolution. It's true like as you 746 00:43:37,000 --> 00:43:40,680 Speaker 1: get like you, you do get like more additions onto 747 00:43:40,719 --> 00:43:43,160 Speaker 1: your brain, Like you get a prefrontal cortex, which is 748 00:43:43,520 --> 00:43:46,640 Speaker 1: very different from just having like, you know, a very 749 00:43:46,680 --> 00:43:50,520 Speaker 1: simple brain stem ponds madula and blagotta kind of set up. 750 00:43:50,560 --> 00:43:53,520 Speaker 1: But it is once you start to get to be 751 00:43:53,719 --> 00:43:56,839 Speaker 1: like a crow or human and your brain gets more 752 00:43:56,840 --> 00:43:59,480 Speaker 1: and more complex, and you do start to get the 753 00:43:59,800 --> 00:44:03,600 Speaker 1: like these more um kind of like integrated processes, it 754 00:44:03,719 --> 00:44:05,399 Speaker 1: is hard to just be like, uh, see the crow. 755 00:44:05,640 --> 00:44:07,640 Speaker 1: The crow brain is smaller than a human, so it 756 00:44:08,080 --> 00:44:10,239 Speaker 1: has to be dumb. It's just like our brain is 757 00:44:10,280 --> 00:44:13,719 Speaker 1: smaller than um. Like a blue whale. Blue whales have 758 00:44:13,760 --> 00:44:16,360 Speaker 1: a big brand just by volume. It's a huge I 759 00:44:16,400 --> 00:44:18,520 Speaker 1: feel like a blue whales brain is probably about as 760 00:44:18,600 --> 00:44:22,400 Speaker 1: big as like a child, yeah, a whole human child. 761 00:44:22,719 --> 00:44:24,440 Speaker 1: But you know, to say that a blue whale is 762 00:44:24,480 --> 00:44:28,880 Speaker 1: therefore much smarter than us, it's just kind of faulty reasoning. 763 00:44:29,160 --> 00:44:33,520 Speaker 1: It's all about relativity exactly, and humans and dolphins and 764 00:44:33,560 --> 00:44:37,080 Speaker 1: crows have a much bigger brand size relative to our 765 00:44:37,120 --> 00:44:40,680 Speaker 1: body size than we would expect So yeah, so you know, 766 00:44:40,760 --> 00:44:43,080 Speaker 1: crow brains. For all of the ways that they are different, 767 00:44:43,840 --> 00:44:46,839 Speaker 1: there isn't anything where we can say, oh, and the 768 00:44:46,880 --> 00:44:49,000 Speaker 1: fact that they're different in this way means that they 769 00:44:49,040 --> 00:44:52,080 Speaker 1: don't possess any kind of emotional intelligence. And at the 770 00:44:52,080 --> 00:44:54,360 Speaker 1: same time, you know, like I said, these are incredibly 771 00:44:54,400 --> 00:44:58,840 Speaker 1: social animals. They forge really long term relationships with one another. 772 00:44:59,480 --> 00:45:03,120 Speaker 1: I can how it would absolutely be valuable and adaptive 773 00:45:03,239 --> 00:45:08,480 Speaker 1: to have emotional commitments to their partners and to their flockmates. 774 00:45:09,400 --> 00:45:12,719 Speaker 1: At the same time, though, you know, having a deep 775 00:45:12,760 --> 00:45:16,680 Speaker 1: emotional investment, you know, we we I always start by 776 00:45:16,680 --> 00:45:19,600 Speaker 1: sort of asking what would be the adaptive value of 777 00:45:19,640 --> 00:45:23,799 Speaker 1: that and going into a long period of mourning. You know, 778 00:45:23,840 --> 00:45:26,280 Speaker 1: if you were a female, for example, you've just lost 779 00:45:26,280 --> 00:45:29,160 Speaker 1: your mate and you go into a long period of 780 00:45:29,200 --> 00:45:32,000 Speaker 1: mourning that precludes you from being able to take a 781 00:45:32,040 --> 00:45:36,799 Speaker 1: new partner and breed, that's probably not super helpful to you. 782 00:45:36,960 --> 00:45:40,560 Speaker 1: Right or morning you're lost, you know, kids for the season. 783 00:45:40,640 --> 00:45:43,600 Speaker 1: If it's early enough that you could attempt to remake 784 00:45:44,160 --> 00:45:47,400 Speaker 1: and lay another clutch, probably not super useful to spend 785 00:45:47,440 --> 00:45:50,919 Speaker 1: a bunch of time being super bummed out. So that's 786 00:45:50,960 --> 00:45:53,120 Speaker 1: why I'm kind of in the spot where you know, 787 00:45:53,280 --> 00:45:56,600 Speaker 1: I don't know what they're thinking, but I'm totally open 788 00:45:57,160 --> 00:46:01,520 Speaker 1: to the possibility that we learn that crows are much 789 00:46:01,560 --> 00:46:05,960 Speaker 1: more emotionally aware than than we currently understand about them. 790 00:46:05,960 --> 00:46:08,040 Speaker 1: To that point, I want to talk about some of 791 00:46:08,080 --> 00:46:12,200 Speaker 1: the surprising ways that corvid show intelligence because I think 792 00:46:12,239 --> 00:46:14,279 Speaker 1: we have this sense of like a, you know, like 793 00:46:14,400 --> 00:46:17,399 Speaker 1: humans were the most intelligent, and then like primates are 794 00:46:17,440 --> 00:46:20,520 Speaker 1: really really smart, and then maybe after that like dolphins, 795 00:46:20,719 --> 00:46:23,879 Speaker 1: and then maybe parrots like Alex the parrot was pretty smart. 796 00:46:23,920 --> 00:46:28,800 Speaker 1: I think that people don't realize how incredibly, almost spookily 797 00:46:28,840 --> 00:46:32,600 Speaker 1: intelligent corvids can be. One of the things that like 798 00:46:32,680 --> 00:46:35,520 Speaker 1: we use as sort of this very rough measure of 799 00:46:35,600 --> 00:46:39,799 Speaker 1: intelligence is tool used because like that requires very complicated 800 00:46:39,880 --> 00:46:42,440 Speaker 1: cognition to be able to pick up a thing and 801 00:46:42,920 --> 00:46:45,520 Speaker 1: use it for another task, Like it just requires so 802 00:46:45,520 --> 00:46:48,560 Speaker 1: many kind of parallel processing systems in your brain that 803 00:46:48,640 --> 00:46:53,799 Speaker 1: it indicates some amount of higher cognition. New Caledonian crows 804 00:46:53,840 --> 00:46:56,360 Speaker 1: are really interesting. I think we've talked about them on 805 00:46:56,400 --> 00:47:00,919 Speaker 1: the podcast before, but they look very much like an 806 00:47:00,960 --> 00:47:04,560 Speaker 1: American crow. They are found in New Caledonia, which is 807 00:47:04,800 --> 00:47:08,719 Speaker 1: an archipelago in the southwest Pacific Ocean. I mean, maybe 808 00:47:08,760 --> 00:47:10,879 Speaker 1: this is a question for you. Do you know, like 809 00:47:11,000 --> 00:47:14,160 Speaker 1: if there's a way to be able to distinguish visually 810 00:47:14,200 --> 00:47:18,520 Speaker 1: a New Caledonian crow from an American crow? I do so. 811 00:47:19,440 --> 00:47:24,040 Speaker 1: New Caledonian crows look like they're smiling, and the reason 812 00:47:24,120 --> 00:47:28,279 Speaker 1: for that is actually very much tied to their tool use. 813 00:47:28,600 --> 00:47:32,080 Speaker 1: They have this curve to their bill that gives the 814 00:47:32,880 --> 00:47:35,280 Speaker 1: bottom part of the bill, which is called the lower mandible, 815 00:47:35,400 --> 00:47:38,400 Speaker 1: sort of this like a little bit chalkier appearance, and 816 00:47:38,440 --> 00:47:41,120 Speaker 1: it kind of curves up and that what gives them. 817 00:47:41,239 --> 00:47:44,000 Speaker 1: That's what gives them their sort of smiley appearance. And 818 00:47:44,040 --> 00:47:47,600 Speaker 1: the reason that their bill has that particular shape is 819 00:47:47,680 --> 00:47:51,080 Speaker 1: actually that it's really important in allowing them the dexterity 820 00:47:51,120 --> 00:47:54,399 Speaker 1: that they need to manufacture tools. Gives them a set 821 00:47:54,400 --> 00:47:59,440 Speaker 1: appliers on their faces exactly if you could, like if 822 00:47:59,480 --> 00:48:01,279 Speaker 1: you had clower is on your face, you would also 823 00:48:01,400 --> 00:48:03,560 Speaker 1: be grinning all the time. Or maybe it be horrified. 824 00:48:03,600 --> 00:48:05,680 Speaker 1: I'm not sure, but crows are very happy about it. 825 00:48:06,560 --> 00:48:09,560 Speaker 1: Right in. These New Caledonian crows, like they love to 826 00:48:09,600 --> 00:48:13,200 Speaker 1: eat grubs and they will use sticks and little any 827 00:48:13,320 --> 00:48:17,600 Speaker 1: stick like tool that they can find to get grubs 828 00:48:17,600 --> 00:48:19,719 Speaker 1: out of wood. And now that like the easiest way 829 00:48:19,719 --> 00:48:21,319 Speaker 1: that they do this is they just take sort of 830 00:48:21,320 --> 00:48:23,839 Speaker 1: a straight stick, they put it in a hole, and 831 00:48:23,840 --> 00:48:27,640 Speaker 1: the grubs will instinctively bite at this intrusion, and then 832 00:48:27,680 --> 00:48:30,320 Speaker 1: they fish it out like catching a fish on a hook, 833 00:48:30,400 --> 00:48:33,040 Speaker 1: because the grub is biting down and they pull it out. 834 00:48:33,440 --> 00:48:37,600 Speaker 1: But that doesn't always work in every circumstance that they 835 00:48:37,640 --> 00:48:40,320 Speaker 1: are looking for grubs, Like the crows will actually take 836 00:48:40,600 --> 00:48:43,640 Speaker 1: one of these sticks and modify it so that it 837 00:48:43,680 --> 00:48:47,200 Speaker 1: works as a better grub extraction tool and can fit 838 00:48:47,239 --> 00:48:50,719 Speaker 1: into different spaces and can pick them up more effectively. 839 00:48:50,760 --> 00:48:54,480 Speaker 1: So they use very like you mentioned with their because 840 00:48:54,480 --> 00:48:56,560 Speaker 1: I didn't know it made them look like they were smiling, 841 00:48:56,640 --> 00:48:59,160 Speaker 1: and that's like the reason that's so cool. But yeah, 842 00:48:59,160 --> 00:49:02,640 Speaker 1: they will use those weeks to do this very precise ripping, 843 00:49:02,719 --> 00:49:07,239 Speaker 1: cutting and bending techniques on the stick to create basically 844 00:49:07,280 --> 00:49:11,120 Speaker 1: these like custom tools to be able to fish out grubs, 845 00:49:11,160 --> 00:49:16,120 Speaker 1: which I think we had previously only seen this in 846 00:49:16,239 --> 00:49:20,759 Speaker 1: like there there was Betty the captive New Caledonian crow, 847 00:49:21,160 --> 00:49:23,160 Speaker 1: so we had seen that in captivity, but it was 848 00:49:23,200 --> 00:49:27,040 Speaker 1: only relatively recently that we saw that they were also 849 00:49:27,080 --> 00:49:29,080 Speaker 1: doing this in the wild, which is really exciting because 850 00:49:29,120 --> 00:49:32,440 Speaker 1: like animals and captivity will behave differently than their counterparts 851 00:49:32,480 --> 00:49:34,800 Speaker 1: in the wild. So to find out that they actually 852 00:49:34,800 --> 00:49:37,080 Speaker 1: do it in the while, just like all these crows 853 00:49:37,120 --> 00:49:39,760 Speaker 1: just making making their little hooks and tools and getting 854 00:49:39,760 --> 00:49:42,480 Speaker 1: the grubs, that's really cool. It is, yeah, and it's 855 00:49:42,480 --> 00:49:44,880 Speaker 1: so so just to give a little bit more background 856 00:49:44,880 --> 00:49:47,600 Speaker 1: on Betty since you brought her up, so Betty was, 857 00:49:47,640 --> 00:49:50,160 Speaker 1: like you said, she was a wild caught New Caledonian crow, 858 00:49:50,800 --> 00:49:55,080 Speaker 1: and we had no prior to Betty that New Caledonian 859 00:49:55,120 --> 00:49:57,920 Speaker 1: crows make tools, and the one we were most familiar 860 00:49:57,960 --> 00:50:02,680 Speaker 1: with was they'll you're off the edges of pandanus leaves, 861 00:50:02,719 --> 00:50:06,800 Speaker 1: and the pandanas plant is a really rigid leaf. Picture 862 00:50:06,880 --> 00:50:09,239 Speaker 1: kind of like like an aloe leaf. It's it's not 863 00:50:09,320 --> 00:50:12,960 Speaker 1: that thick, but picture something rigid and serrated on the edge, 864 00:50:13,360 --> 00:50:16,800 Speaker 1: and so they'll shave off little, you know, the sides 865 00:50:16,840 --> 00:50:19,560 Speaker 1: of them and then they'll, like you say, they'll kind 866 00:50:19,560 --> 00:50:22,080 Speaker 1: of shave them down until they're the right width and length, 867 00:50:22,160 --> 00:50:24,239 Speaker 1: and then they'll stick those in and let the grips grab. 868 00:50:25,239 --> 00:50:29,759 Speaker 1: But our challenge as um animal behaviorists is there's a 869 00:50:29,760 --> 00:50:33,440 Speaker 1: lot of things animals do that can look on its 870 00:50:33,440 --> 00:50:39,360 Speaker 1: surface really sophisticated, but isn't necessarily guided cognitively, right, Like, 871 00:50:39,400 --> 00:50:41,480 Speaker 1: there's a lot of wit Like antswer a great example. 872 00:50:41,600 --> 00:50:44,400 Speaker 1: Ants did not go and get degrees in engineering school, 873 00:50:44,440 --> 00:50:46,680 Speaker 1: and yet they can build bridges. And it's not because 874 00:50:46,719 --> 00:50:50,480 Speaker 1: they understand physics. It's because each one executes a very 875 00:50:50,560 --> 00:50:53,279 Speaker 1: simple job and when you put that together, you get 876 00:50:53,320 --> 00:50:58,040 Speaker 1: something sophisticated. Right Like at the most base examples, there's 877 00:50:58,280 --> 00:51:00,799 Speaker 1: this I think it's as slimal, but it's very very 878 00:51:00,840 --> 00:51:05,520 Speaker 1: tiny organism that actually creates like each of them come 879 00:51:05,600 --> 00:51:09,960 Speaker 1: together to create a slug, like a multi unit slug 880 00:51:10,000 --> 00:51:12,000 Speaker 1: that's made out of a bunch of individuals, and then 881 00:51:12,000 --> 00:51:14,800 Speaker 1: it creates like when they are on a hostile environment, 882 00:51:15,120 --> 00:51:20,160 Speaker 1: this slug will spontaneously form a stem that reaches up 883 00:51:20,160 --> 00:51:22,320 Speaker 1: like a platform, and the ones at the very top 884 00:51:22,760 --> 00:51:25,640 Speaker 1: are these spores that can then like basically get sent 885 00:51:25,680 --> 00:51:28,919 Speaker 1: off to a better environment. And so it seems like 886 00:51:29,440 --> 00:51:32,799 Speaker 1: they are planning this out like Okay, we're in a 887 00:51:32,880 --> 00:51:36,480 Speaker 1: bad spot right now, we will form this collective and 888 00:51:36,520 --> 00:51:39,160 Speaker 1: then create this stem and then like send off like 889 00:51:39,200 --> 00:51:43,200 Speaker 1: the survivors like astronauts off to a better place, and 890 00:51:43,280 --> 00:51:47,000 Speaker 1: it seems like, oh, they're really all altruistic and planning. No, 891 00:51:47,280 --> 00:51:52,279 Speaker 1: it's all just it's basically piling on behavior that ends 892 00:51:52,360 --> 00:51:54,799 Speaker 1: up turning into what looks like this very complex thing, 893 00:51:54,840 --> 00:51:57,399 Speaker 1: and it's like it really is every one of them 894 00:51:57,480 --> 00:52:01,840 Speaker 1: for itself trying to pile on the other one, similar 895 00:52:01,880 --> 00:52:04,120 Speaker 1: to like how piranhas. It's like, oh, they like to 896 00:52:04,160 --> 00:52:08,120 Speaker 1: take turns eating, carry on. No, they just are all 897 00:52:08,239 --> 00:52:10,239 Speaker 1: kind of like piling on, and once one of them 898 00:52:10,280 --> 00:52:12,680 Speaker 1: gets a mouthful of food, they'll pull back to eat 899 00:52:12,680 --> 00:52:14,560 Speaker 1: the food and get pushed out of the way by 900 00:52:14,560 --> 00:52:16,920 Speaker 1: another piranha who also wants to eat the food. So 901 00:52:17,040 --> 00:52:20,560 Speaker 1: it's like intelligent behavior can just be crowd behavior that's 902 00:52:20,600 --> 00:52:25,319 Speaker 1: like totally self driven, not altruistic at all, not no 903 00:52:25,480 --> 00:52:28,840 Speaker 1: forethought at all, just a little what it looks like 904 00:52:28,920 --> 00:52:31,960 Speaker 1: automaton doing a single behavior, but then when you get 905 00:52:31,960 --> 00:52:35,080 Speaker 1: a bunch of them together or and then you can 906 00:52:35,239 --> 00:52:38,560 Speaker 1: kind of extrapolate that to an actual animal, like just 907 00:52:38,640 --> 00:52:40,920 Speaker 1: doing trial and air over and over again. But it's 908 00:52:40,960 --> 00:52:43,480 Speaker 1: just one behavior that they repeat and repeat and repeat. 909 00:52:43,640 --> 00:52:47,000 Speaker 1: But it's not they're not really thinking it through exactly. 910 00:52:47,440 --> 00:52:52,200 Speaker 1: So the experiment with Betty was, Okay, how much does 911 00:52:52,280 --> 00:52:57,719 Speaker 1: she really understand why the tool she needs works. So 912 00:52:57,760 --> 00:53:00,399 Speaker 1: what they presented Betty and they did this experiment in pairs. 913 00:53:00,480 --> 00:53:02,120 Speaker 1: So there was Betty and there was actually a second 914 00:53:02,160 --> 00:53:05,440 Speaker 1: bird in the cage with her, and they would give 915 00:53:05,480 --> 00:53:07,920 Speaker 1: them this little cylinder and at the bottom of the 916 00:53:07,960 --> 00:53:10,680 Speaker 1: cylinder was a little bucket of food. And it's too 917 00:53:10,680 --> 00:53:13,640 Speaker 1: far down and too narrow for the crows to actually 918 00:53:13,680 --> 00:53:17,279 Speaker 1: stick their heads in and pick up the bucket. So 919 00:53:17,320 --> 00:53:21,560 Speaker 1: they presented them with two tool options. One was a 920 00:53:21,600 --> 00:53:24,240 Speaker 1: hook and one was a straight piece of wire, and 921 00:53:24,239 --> 00:53:26,560 Speaker 1: and um, this was the first time that Betty and 922 00:53:26,600 --> 00:53:28,520 Speaker 1: her cage mate, as far as I know, had been 923 00:53:28,560 --> 00:53:32,440 Speaker 1: presented with those particular materials. And so clearly the goal 924 00:53:32,760 --> 00:53:35,600 Speaker 1: is can they assess that the correct tool for that 925 00:53:35,719 --> 00:53:40,840 Speaker 1: job is the hook. Unfortunately for the Peru, Betty and 926 00:53:40,840 --> 00:53:44,319 Speaker 1: the researchers at the time, or initially her cage mate 927 00:53:44,360 --> 00:53:46,640 Speaker 1: picked up the hook and then flew away and was like, 928 00:53:46,960 --> 00:53:49,080 Speaker 1: I don't want to do this stupid experiment. I'm gonna 929 00:53:49,120 --> 00:53:51,880 Speaker 1: go sit in the corner with my hook. And so 930 00:53:51,920 --> 00:53:55,920 Speaker 1: the researchers I'm sure are like that. Turls are always 931 00:53:55,960 --> 00:53:58,440 Speaker 1: kind of screwing up our experiments, and now you know, 932 00:53:58,480 --> 00:54:01,320 Speaker 1: what are we gonna do? And her Betty, she's hungry 933 00:54:01,400 --> 00:54:04,200 Speaker 1: and she has this wired there's a great view, you 934 00:54:04,239 --> 00:54:07,080 Speaker 1: can google it. And she's poking at the food at 935 00:54:07,080 --> 00:54:10,960 Speaker 1: the bottom and it's not working. And then she sort 936 00:54:10,960 --> 00:54:13,640 Speaker 1: of takes her hook and she pins it to the 937 00:54:13,680 --> 00:54:16,480 Speaker 1: bottom of the cylinder and she starts wrapping it around 938 00:54:16,600 --> 00:54:20,040 Speaker 1: and book up pups. Betty with a pook that she 939 00:54:20,120 --> 00:54:23,160 Speaker 1: has just spontaneously made, which was not even what the 940 00:54:23,160 --> 00:54:25,960 Speaker 1: study was about, because they just wasn't they wanted to 941 00:54:25,960 --> 00:54:28,760 Speaker 1: see if they could distinguish, like if they could see like, okay, 942 00:54:28,760 --> 00:54:30,759 Speaker 1: the straight one doesn't work, I have to use the hook. 943 00:54:30,840 --> 00:54:33,280 Speaker 1: They weren't looking to see if they'd make their own hook. 944 00:54:33,320 --> 00:54:38,360 Speaker 1: And Betty's like, pulls down my bird seed exactly. So 945 00:54:38,440 --> 00:54:40,720 Speaker 1: then she fishes down in there, she pulls out the bucket, 946 00:54:40,800 --> 00:54:43,480 Speaker 1: and like you said, we were like, oh my god, 947 00:54:43,760 --> 00:54:46,000 Speaker 1: don not only does she get it, but she actual 948 00:54:46,120 --> 00:54:50,840 Speaker 1: spontaneously made it. But then, as you said, more recently, 949 00:54:50,920 --> 00:54:54,560 Speaker 1: we put little backpacks with cameras on New Caledonian crows 950 00:54:54,560 --> 00:54:57,000 Speaker 1: and we sent them off, and we realized they freaking 951 00:54:57,040 --> 00:54:59,680 Speaker 1: make hooks all the time. And I just want to 952 00:54:59,680 --> 00:55:04,120 Speaker 1: take moment because this is really significant. So when it 953 00:55:04,160 --> 00:55:07,440 Speaker 1: comes to tools, tools and animals, the first thing to 954 00:55:07,520 --> 00:55:11,399 Speaker 1: understand is that, yes, using tools is rare. Less than 955 00:55:11,480 --> 00:55:14,200 Speaker 1: one percent of all of the animals on planet Earth 956 00:55:14,320 --> 00:55:19,960 Speaker 1: used tools. However, that one percent comprises a huge diversity 957 00:55:19,960 --> 00:55:24,120 Speaker 1: of organisms. So you have animals like chimpanzees and people, 958 00:55:24,440 --> 00:55:28,640 Speaker 1: well you also have like fish there and sea otters, 959 00:55:28,719 --> 00:55:31,960 Speaker 1: animals that you know are are using an object for 960 00:55:32,239 --> 00:55:35,120 Speaker 1: an you know, a sort of a novel purpose to 961 00:55:35,239 --> 00:55:39,919 Speaker 1: benefit them, right, And like woodpecker finches are I don't 962 00:55:39,960 --> 00:55:42,480 Speaker 1: want to be mean to them, but an arguably much 963 00:55:42,560 --> 00:55:46,759 Speaker 1: less intelligent bird that also uses a twig or a 964 00:55:46,800 --> 00:55:50,719 Speaker 1: cactus spine to basically impale a grub. But there's no 965 00:55:50,800 --> 00:55:54,520 Speaker 1: evidence that shows that they really fully understand like how 966 00:55:54,719 --> 00:55:57,279 Speaker 1: the tool works, other than just like I take this thing, 967 00:55:57,320 --> 00:56:00,480 Speaker 1: I stick it in, I get a thing out. Um. Again, 968 00:56:00,520 --> 00:56:03,480 Speaker 1: that's sort of more like what we're talking about earlier, 969 00:56:03,520 --> 00:56:06,680 Speaker 1: where I mean, rats are pretty intelligent, but you can 970 00:56:06,719 --> 00:56:09,680 Speaker 1: train them to press a lever and receive some reward 971 00:56:10,000 --> 00:56:14,319 Speaker 1: that doesn't necessarily mean that they understand the mechanics of 972 00:56:14,360 --> 00:56:18,920 Speaker 1: a lever, like how that lever works. Similarly, you can 973 00:56:19,480 --> 00:56:22,560 Speaker 1: We've studied chimpanzees and we see that they actually make 974 00:56:22,600 --> 00:56:26,160 Speaker 1: a pretty complex physics calculation when they are using a 975 00:56:26,200 --> 00:56:30,279 Speaker 1: tool like to reach something. But when we've tested them 976 00:56:30,320 --> 00:56:33,440 Speaker 1: to see if they have an understanding of math, absolutely not. 977 00:56:33,520 --> 00:56:35,640 Speaker 1: They do not have an understanding of math. So just 978 00:56:35,719 --> 00:56:39,799 Speaker 1: because they have an innate understanding of physics, like a baby, 979 00:56:39,840 --> 00:56:41,960 Speaker 1: like a human baby, I keep jumping from animal to 980 00:56:41,960 --> 00:56:45,120 Speaker 1: animal to animals. But again, like a human baby actually 981 00:56:45,120 --> 00:56:47,919 Speaker 1: has an innate understanding of physics. You have. You show 982 00:56:47,920 --> 00:56:50,880 Speaker 1: a baby a little ball roll up to a big ball, 983 00:56:51,000 --> 00:56:53,200 Speaker 1: and the baby expects like the little ball to just 984 00:56:53,320 --> 00:56:55,040 Speaker 1: kind of like bounce off the big ball and not 985 00:56:55,160 --> 00:56:57,600 Speaker 1: move the big ball because it has this understanding. If 986 00:56:57,600 --> 00:56:59,880 Speaker 1: you show a baby a little ball roll into a 987 00:57:00,000 --> 00:57:03,120 Speaker 1: big ball and it flies away, the baby stares at 988 00:57:03,120 --> 00:57:05,040 Speaker 1: it because it's little mind is blone, because it's like 989 00:57:05,080 --> 00:57:07,759 Speaker 1: I was not expecting that. The baby doesn't have a 990 00:57:07,760 --> 00:57:12,240 Speaker 1: physics degree. The baby doesn't understand anything about conservation of momentum. 991 00:57:12,280 --> 00:57:15,759 Speaker 1: The baby has an innate, kind of instinctive understanding of 992 00:57:15,840 --> 00:57:19,080 Speaker 1: certain physics that is sort of built into its brain, 993 00:57:19,120 --> 00:57:22,160 Speaker 1: but it doesn't have an understanding, a meta cognition of it. 994 00:57:22,560 --> 00:57:25,440 Speaker 1: So when an animal uses a tool and shows a 995 00:57:25,560 --> 00:57:27,840 Speaker 1: meta cognition of it, where it's like it not only 996 00:57:28,320 --> 00:57:33,120 Speaker 1: uses the tool, it understands why certain tools work and 997 00:57:33,160 --> 00:57:35,680 Speaker 1: why other tools don't, and like what it needs to 998 00:57:35,760 --> 00:57:38,840 Speaker 1: do to modify that tool to get it to work. 999 00:57:38,960 --> 00:57:42,880 Speaker 1: That's so exciting because that shows much more cognition than 1000 00:57:43,200 --> 00:57:45,360 Speaker 1: you know, simply like I have a stick and when 1001 00:57:45,360 --> 00:57:50,120 Speaker 1: I jam the stick over and over sometimes yea food time. Yeah. 1002 00:57:50,200 --> 00:57:52,600 Speaker 1: And so that's the distinction I really like to drive 1003 00:57:52,640 --> 00:57:55,600 Speaker 1: home to people is yes, a very few number of 1004 00:57:55,640 --> 00:58:00,400 Speaker 1: species use tools, but there are there's very levels of 1005 00:58:00,520 --> 00:58:05,480 Speaker 1: understanding in terms of how those animals actually cognitively understand 1006 00:58:05,520 --> 00:58:08,480 Speaker 1: these tools. But then the next step and the reason 1007 00:58:08,520 --> 00:58:10,960 Speaker 1: why New Caledonian crows have a stop dead in our 1008 00:58:11,000 --> 00:58:15,960 Speaker 1: tracks are there are only two animals that make tools, 1009 00:58:16,640 --> 00:58:21,080 Speaker 1: and that's a huge cognitively using tools and making tools. 1010 00:58:21,320 --> 00:58:24,320 Speaker 1: And that's kind of that um like what you were saying, 1011 00:58:24,680 --> 00:58:27,760 Speaker 1: that ability to actually have the intuition of how do 1012 00:58:27,800 --> 00:58:32,760 Speaker 1: I modify something for a very specific task that is 1013 00:58:32,920 --> 00:58:36,320 Speaker 1: much more challenging, and chimpanzees do it right, And the 1014 00:58:36,320 --> 00:58:40,280 Speaker 1: two animals are primates and and the crows right. And 1015 00:58:40,360 --> 00:58:43,600 Speaker 1: I think I'm waiting for primatologists to correct me on this, 1016 00:58:43,720 --> 00:58:47,600 Speaker 1: but I think chimpanzees are the only primates that make 1017 00:58:47,720 --> 00:58:50,680 Speaker 1: tools in the wild. I think there's some evidence of 1018 00:58:50,760 --> 00:58:54,040 Speaker 1: other primates like orangutans being able to modify things in 1019 00:58:54,120 --> 00:58:58,880 Speaker 1: captive settings. They don't. Yeah, Orientans like model it's not 1020 00:58:58,920 --> 00:59:02,160 Speaker 1: necessarily a tool. It's like they make a bed and 1021 00:59:02,240 --> 00:59:06,080 Speaker 1: they will modify branches to create a foundation for the 1022 00:59:06,160 --> 00:59:08,400 Speaker 1: bed in a kind of specific way. And I think 1023 00:59:08,520 --> 00:59:10,720 Speaker 1: that it starts to get like a little bit fuzzy, 1024 00:59:10,800 --> 00:59:13,040 Speaker 1: like is that an actual tool, because they're not then 1025 00:59:13,240 --> 00:59:16,720 Speaker 1: using that bed to get another thing. They're just birds 1026 00:59:16,760 --> 00:59:23,919 Speaker 1: make beds. So it's really special that this a bird, 1027 00:59:24,040 --> 00:59:27,160 Speaker 1: this animal that is, like you said, a dinosaur, is 1028 00:59:27,160 --> 00:59:30,840 Speaker 1: so different from us in you know, so many ways, 1029 00:59:31,520 --> 00:59:36,320 Speaker 1: is doing something that is incredibly unique and cognitively advanced. 1030 00:59:36,360 --> 00:59:39,240 Speaker 1: Because that is a level of insight and understanding that 1031 00:59:40,480 --> 00:59:42,600 Speaker 1: we should all be watching our backs around the crows 1032 00:59:42,600 --> 00:59:46,680 Speaker 1: because it is impressive, especially you, because you had a 1033 00:59:46,680 --> 00:59:51,120 Speaker 1: whole study where you're like, hey, here's a dead crow. Everybody. See. 1034 00:59:51,160 --> 00:59:54,760 Speaker 1: That's why I was always a friendly person, because I 1035 00:59:54,880 --> 00:59:57,320 Speaker 1: know I was planted ahead like the crow. I was like, 1036 00:59:57,440 --> 01:00:00,200 Speaker 1: I am not going to be making hordes of enemies here. 1037 01:00:00,880 --> 01:00:03,520 Speaker 1: There's gonna be like a Kaiser says, a moment where 1038 01:00:03,520 --> 01:00:09,080 Speaker 1: they realize you were the mastermind the whole time. But 1039 01:00:09,200 --> 01:00:12,040 Speaker 1: another another interesting thing, and I'm actually going to talk 1040 01:00:12,120 --> 01:00:17,240 Speaker 1: about the Eurasian magpie. There's some research that suggests that 1041 01:00:17,440 --> 01:00:23,400 Speaker 1: Eurasian magpies can possibly recognize themselves in mirrors. Um and 1042 01:00:23,440 --> 01:00:26,800 Speaker 1: so this is an whole interesting thing that I have 1043 01:00:26,960 --> 01:00:31,000 Speaker 1: very complex opinions about. It's the mirror test. And this 1044 01:00:31,120 --> 01:00:35,560 Speaker 1: is the test where you basically plunk something down in 1045 01:00:35,600 --> 01:00:38,400 Speaker 1: front of a mirror and you're like, okay, does this 1046 01:00:38,560 --> 01:00:43,200 Speaker 1: animal recognize itself in the mirror? And you will put generally, 1047 01:00:43,200 --> 01:00:44,960 Speaker 1: how it stands like you put a dot or a 1048 01:00:45,040 --> 01:00:48,840 Speaker 1: mark on the animal without them knowing, like they're either 1049 01:00:48,960 --> 01:00:51,920 Speaker 1: like sort of sedated, or you do it stealthily so 1050 01:00:51,960 --> 01:00:54,560 Speaker 1: they don't know you've put something on them. And you 1051 01:00:54,600 --> 01:00:56,800 Speaker 1: have a control group where you have you put a 1052 01:00:56,840 --> 01:00:59,480 Speaker 1: dot on them or something, but it's invisible, so it's 1053 01:00:59,480 --> 01:01:02,560 Speaker 1: like it's not the feeling of the dot and or mark, 1054 01:01:02,600 --> 01:01:04,320 Speaker 1: and then you put them in front of a mirror 1055 01:01:04,360 --> 01:01:06,000 Speaker 1: and then you see if they like look in the 1056 01:01:06,040 --> 01:01:08,280 Speaker 1: mirror and they see the mark in the mirror and 1057 01:01:08,360 --> 01:01:10,680 Speaker 1: then recognize, oh, that's on me, and then try to 1058 01:01:10,840 --> 01:01:14,160 Speaker 1: remove it. I mean, I'll get in more about my 1059 01:01:14,200 --> 01:01:17,080 Speaker 1: opinions about this test later, but it's an interesting kind 1060 01:01:17,080 --> 01:01:21,520 Speaker 1: of human centric way of thinking about metacognition, Like we 1061 01:01:21,600 --> 01:01:25,480 Speaker 1: recognize ourselves. We see ourselves in the mirror, we recognize 1062 01:01:25,520 --> 01:01:28,040 Speaker 1: that as us, and then therefore you know, we have 1063 01:01:28,240 --> 01:01:30,680 Speaker 1: a self awareness, which I think it may be a 1064 01:01:30,680 --> 01:01:34,120 Speaker 1: little more complex than that. But in terms of animals 1065 01:01:34,160 --> 01:01:40,480 Speaker 1: who have quote unquote past the mirror test includes obviously humans, chimpanzees, dolphins, 1066 01:01:40,520 --> 01:01:43,840 Speaker 1: and elephants. There's a little bit of fuzziness here because 1067 01:01:44,000 --> 01:01:47,000 Speaker 1: you'll have some individuals that do it, and then but 1068 01:01:47,040 --> 01:01:50,280 Speaker 1: then you try other other animals in the same species 1069 01:01:50,320 --> 01:01:52,320 Speaker 1: and then they won't do it. So it's kind of 1070 01:01:52,360 --> 01:01:56,960 Speaker 1: a from individual to individual. But when studied, Eurasian magpies 1071 01:01:57,120 --> 01:02:00,880 Speaker 1: also seemed to pass this test. So when colorful stickers 1072 01:02:00,880 --> 01:02:04,440 Speaker 1: are put on their throats and in the same setup 1073 01:02:04,440 --> 01:02:06,880 Speaker 1: that I described before, and they see themselves in the mirror. 1074 01:02:07,080 --> 01:02:11,040 Speaker 1: They scratched at their next to try to remove the stickers, 1075 01:02:11,520 --> 01:02:15,840 Speaker 1: which indicates that they have some awareness of like there 1076 01:02:16,160 --> 01:02:19,000 Speaker 1: having some control over their body and then recognizing it 1077 01:02:19,040 --> 01:02:21,560 Speaker 1: in the mirror. But one thing that I think is 1078 01:02:21,680 --> 01:02:25,480 Speaker 1: interesting to me about this is we've tested it in 1079 01:02:25,480 --> 01:02:28,880 Speaker 1: a lot of like very social animals, like very highly 1080 01:02:29,120 --> 01:02:35,360 Speaker 1: socially emotionally intelligent animals like chimpanzees, elephants, dolphins, and and 1081 01:02:35,400 --> 01:02:38,160 Speaker 1: then these magpies, like they're all very socially minded. I 1082 01:02:38,240 --> 01:02:42,320 Speaker 1: wonder your opinion on on this test, and because I 1083 01:02:42,320 --> 01:02:45,240 Speaker 1: think sometimes people jump to the conclusion that, oh, if 1084 01:02:45,240 --> 01:02:47,720 Speaker 1: they can recognize themselves in the mirror, they have this 1085 01:02:47,840 --> 01:02:51,520 Speaker 1: concept of self whereas like, how how much of it 1086 01:02:51,560 --> 01:02:54,320 Speaker 1: is them recognizing themselves in the mirror, and how much 1087 01:02:54,400 --> 01:02:57,600 Speaker 1: of it is and under just a simple understanding of 1088 01:02:57,640 --> 01:03:01,240 Speaker 1: like the physics of a reflection, how much of it 1089 01:03:01,440 --> 01:03:05,720 Speaker 1: is like a self awareness do you think or is there? 1090 01:03:05,800 --> 01:03:08,160 Speaker 1: Because I'm curious to know if there have been studies 1091 01:03:08,200 --> 01:03:10,600 Speaker 1: to see like how they respond not to a mirror 1092 01:03:10,600 --> 01:03:15,680 Speaker 1: but just too like one of their cohorts, like another 1093 01:03:15,760 --> 01:03:18,880 Speaker 1: bird with that mark in the same place as their own. Like, 1094 01:03:19,000 --> 01:03:21,919 Speaker 1: do they just have very advanced like mirror neurons where 1095 01:03:21,920 --> 01:03:24,520 Speaker 1: they like they think that the image is another bird, 1096 01:03:24,600 --> 01:03:26,840 Speaker 1: but then they're so sympathetic to that they're like, oh, 1097 01:03:26,880 --> 01:03:29,360 Speaker 1: I better check my neck to kind of thing. So 1098 01:03:29,400 --> 01:03:31,920 Speaker 1: I was wondering what your opinion is on all of this, 1099 01:03:33,600 --> 01:03:38,760 Speaker 1: So I um, I'm with you, Katie, and that people. 1100 01:03:39,240 --> 01:03:42,640 Speaker 1: I often find myself confronted with people who are really 1101 01:03:42,680 --> 01:03:44,920 Speaker 1: excited about the mirror tests, who are really excited that 1102 01:03:44,960 --> 01:03:48,400 Speaker 1: these Eurasian magpies passed. And I always feel like in 1103 01:03:48,440 --> 01:03:56,120 Speaker 1: the Debbi downer because number one, because when we say 1104 01:03:56,160 --> 01:03:58,920 Speaker 1: they passed, we mean that too. There was two birds 1105 01:03:59,360 --> 01:04:02,280 Speaker 1: that fast the mirror desk is not a great sample 1106 01:04:02,320 --> 01:04:06,760 Speaker 1: side being his birds. And then they actually ended up 1107 01:04:06,760 --> 01:04:09,720 Speaker 1: trying to repeat this study in jackdaws and they did 1108 01:04:09,720 --> 01:04:12,520 Speaker 1: it the exact name ways, and jackdaws are another corvid, 1109 01:04:12,720 --> 01:04:14,840 Speaker 1: you know, they're another bird in the corvid family. They 1110 01:04:14,920 --> 01:04:16,560 Speaker 1: used to be in the Corvius genus, but we just 1111 01:04:16,640 --> 01:04:20,280 Speaker 1: kicked them out and they did the exact name studies 1112 01:04:20,320 --> 01:04:23,200 Speaker 1: and in those birds, even the control birds picked up 1113 01:04:23,200 --> 01:04:28,400 Speaker 1: on the spots, which suggests that maybe those magpies had 1114 01:04:28,400 --> 01:04:32,280 Speaker 1: a little bit more tactile sensory awareness of these than 1115 01:04:32,440 --> 01:04:35,760 Speaker 1: than it showed. We've also done this study mirror tests 1116 01:04:35,800 --> 01:04:39,000 Speaker 1: in New Caledonian crows, and New Caledonian crows are terrible 1117 01:04:39,040 --> 01:04:42,320 Speaker 1: at it. Parrots are terrible at it. Anybody who in 1118 01:04:42,400 --> 01:04:45,960 Speaker 1: the springtime has had a crow or a raven attacking 1119 01:04:46,000 --> 01:04:49,400 Speaker 1: their side mirror in their car or their the windows 1120 01:04:49,400 --> 01:04:52,280 Speaker 1: in their house probably are very familiar with the fact 1121 01:04:52,320 --> 01:04:55,320 Speaker 1: that by and large these birds are actually really bad 1122 01:04:55,360 --> 01:04:58,200 Speaker 1: at it. But what's really interesting and gets that one 1123 01:04:58,200 --> 01:05:01,720 Speaker 1: of the questions you asked new it's not at least 1124 01:05:01,720 --> 01:05:06,080 Speaker 1: in New Caledonian crows because they don't understand mirrors conceptually. 1125 01:05:06,560 --> 01:05:10,240 Speaker 1: So New Caledonian crows can use mirrors to understand that 1126 01:05:10,360 --> 01:05:13,280 Speaker 1: something they see in a mirror is actually happening behind them. 1127 01:05:14,040 --> 01:05:17,160 Speaker 1: Oh that's so interesting, right, So they seem to understand 1128 01:05:17,160 --> 01:05:20,440 Speaker 1: the properties of a mirror. So maybe it is just 1129 01:05:20,480 --> 01:05:24,760 Speaker 1: a very sort of like anthrocentric, you know, because we 1130 01:05:25,240 --> 01:05:29,160 Speaker 1: express self directed behaviors, you know, trying to look. So 1131 01:05:29,200 --> 01:05:32,000 Speaker 1: the main things that when we put animals in front 1132 01:05:32,000 --> 01:05:35,240 Speaker 1: of mirrors, the themes we see in terms of self 1133 01:05:35,280 --> 01:05:37,560 Speaker 1: directed behaviors are we want to look at our mouths, 1134 01:05:37,920 --> 01:05:40,520 Speaker 1: and we want to look at our genitals, the two 1135 01:05:40,600 --> 01:05:45,160 Speaker 1: areas that we that we have a hard time investigating otherwise. 1136 01:05:45,240 --> 01:05:47,440 Speaker 1: And that's what dolphins do, that's what primates do. That's 1137 01:05:47,520 --> 01:05:52,640 Speaker 1: maybe that's what's going on with all these zoom called shenanigans. 1138 01:05:52,680 --> 01:05:54,760 Speaker 1: But you know, birds only have the one hole and 1139 01:05:54,800 --> 01:05:57,280 Speaker 1: it's covered with feathers generally, and their mouths aren't that 1140 01:05:57,320 --> 01:05:59,960 Speaker 1: exciting something. You know, maybe they just aren't that interest 1141 01:06:00,040 --> 01:06:04,680 Speaker 1: did in those self directed behaviors. But there was a 1142 01:06:04,720 --> 01:06:07,240 Speaker 1: study that just came out a few weeks ago that 1143 01:06:07,320 --> 01:06:12,760 Speaker 1: took a very different approach to try and tease out consciousness. 1144 01:06:13,240 --> 01:06:15,040 Speaker 1: They went right to the source. They went right to 1145 01:06:15,080 --> 01:06:19,080 Speaker 1: the brain to look at how the brain responded to 1146 01:06:19,160 --> 01:06:22,520 Speaker 1: these these different kinds of scenarios they were getting at. 1147 01:06:22,760 --> 01:06:25,600 Speaker 1: And based on the timing of when these neurons were firing, 1148 01:06:26,080 --> 01:06:29,440 Speaker 1: they were able to pretty convincingly show that they weren't 1149 01:06:29,600 --> 01:06:32,760 Speaker 1: just responding in kind of an automatic way when they're 1150 01:06:32,800 --> 01:06:35,919 Speaker 1: in front of a mirror. No. So this this left 1151 01:06:36,000 --> 01:06:39,000 Speaker 1: the mirror completely out of it. It had them trained 1152 01:06:39,120 --> 01:06:42,160 Speaker 1: so that they knew if they saw lights to pack, 1153 01:06:43,240 --> 01:06:45,520 Speaker 1: and then they gave them a series where the lights 1154 01:06:45,520 --> 01:06:49,840 Speaker 1: were sometimes really faint and sometimes really bright, and they 1155 01:06:49,920 --> 01:06:51,800 Speaker 1: looked at what their brains were doing when they were 1156 01:06:51,840 --> 01:06:55,080 Speaker 1: presented with these faint lights, and based on kind of 1157 01:06:55,120 --> 01:06:57,840 Speaker 1: the timing of when the neurons fired and whether or 1158 01:06:57,880 --> 01:07:01,680 Speaker 1: not they fired, they were able to ascertain that actually 1159 01:07:01,680 --> 01:07:05,800 Speaker 1: they were basically showing what we call a subjective consciousness. 1160 01:07:05,840 --> 01:07:09,800 Speaker 1: They were really sort of like they were experiencing the 1161 01:07:09,840 --> 01:07:13,760 Speaker 1: brightness of light right in a way that suggested a 1162 01:07:15,080 --> 01:07:19,080 Speaker 1: conscious appreciation of it and not just like a reactionary 1163 01:07:19,120 --> 01:07:21,920 Speaker 1: appreciation of it. It was a pretty complex study. I'm 1164 01:07:21,960 --> 01:07:24,080 Speaker 1: hoping to write about it for my blog. I've reached 1165 01:07:24,120 --> 01:07:26,760 Speaker 1: out to the folks that ran it, because I tell 1166 01:07:26,760 --> 01:07:29,080 Speaker 1: you what, I read that study like twice and so 1167 01:07:29,160 --> 01:07:31,040 Speaker 1: much of it just went right over my head, and 1168 01:07:31,160 --> 01:07:36,120 Speaker 1: I've already got like questions, Yeah, right, it's it's a 1169 01:07:36,160 --> 01:07:39,400 Speaker 1: complicated study for the listeners. I think one thing to 1170 01:07:39,600 --> 01:07:43,320 Speaker 1: point out is that you can have an organism react 1171 01:07:43,440 --> 01:07:46,280 Speaker 1: to light like a stimulus. Like you can have a nematode, 1172 01:07:46,360 --> 01:07:49,160 Speaker 1: which is as close to having no brain as you 1173 01:07:49,200 --> 01:07:52,520 Speaker 1: can get almost with an animal, and a nematode will 1174 01:07:52,600 --> 01:07:56,880 Speaker 1: react to light. It has a very very primitive eye 1175 01:07:56,920 --> 01:08:00,400 Speaker 1: spot that can react to light and dark, and and 1176 01:08:00,480 --> 01:08:04,760 Speaker 1: it will react light, that doesn't mean it experiences the light. 1177 01:08:05,080 --> 01:08:07,840 Speaker 1: When you look, you know, any one of us, like 1178 01:08:07,920 --> 01:08:11,280 Speaker 1: looks at outside at the light, or you you look 1179 01:08:11,320 --> 01:08:13,320 Speaker 1: at a TV screen and you see these lights, you 1180 01:08:13,320 --> 01:08:15,720 Speaker 1: have all these sort of automated reaction to the light 1181 01:08:15,720 --> 01:08:20,600 Speaker 1: where your people constricts, but you also have a conscious 1182 01:08:21,120 --> 01:08:27,799 Speaker 1: experience of light. And quantifying that in animals is really 1183 01:08:27,840 --> 01:08:31,360 Speaker 1: really hard because we don't even know how to quantify 1184 01:08:31,439 --> 01:08:35,240 Speaker 1: consciousness and humans yet other than just being assured that 1185 01:08:35,280 --> 01:08:39,519 Speaker 1: another person is saying like, hey, I do experience seeing 1186 01:08:39,560 --> 01:08:41,320 Speaker 1: the light, and you just got to trust them because 1187 01:08:41,320 --> 01:08:44,240 Speaker 1: you can't get inside their head. So it is really interesting. 1188 01:08:44,439 --> 01:08:48,080 Speaker 1: I'm I'm really interested to see more about this study 1189 01:08:48,120 --> 01:08:51,519 Speaker 1: because like being able to show that like there are 1190 01:08:51,520 --> 01:08:54,840 Speaker 1: parts of the brain that light up basically when you're 1191 01:08:54,960 --> 01:08:59,000 Speaker 1: when you're having sort of a not just an immediate 1192 01:08:59,720 --> 01:09:03,040 Speaker 1: risk sponse, but an actual sort of experience of like 1193 01:09:03,400 --> 01:09:07,960 Speaker 1: of the quality is like pretty crazy. Yeah. Yeah, So 1194 01:09:07,960 --> 01:09:10,679 Speaker 1: so that's probably going to be a much better bet 1195 01:09:10,840 --> 01:09:15,559 Speaker 1: than the mirror tests at addressing consciousness and birds because 1196 01:09:15,640 --> 01:09:17,760 Speaker 1: we just have such a mixed bag of results with 1197 01:09:17,800 --> 01:09:20,280 Speaker 1: these mirror tests, and you know, maybe it's just not 1198 01:09:20,400 --> 01:09:22,920 Speaker 1: a relevant way for these animals, you know, for every 1199 01:09:22,960 --> 01:09:26,759 Speaker 1: animal to demonstrate that it has a sense of self. 1200 01:09:26,880 --> 01:09:29,400 Speaker 1: It's it's something where I think some of these tests 1201 01:09:29,400 --> 01:09:31,519 Speaker 1: that like we're trying to see whether an animal is 1202 01:09:31,600 --> 01:09:36,639 Speaker 1: intelligent or conscious is really very human egocentric. Like we're 1203 01:09:36,760 --> 01:09:38,840 Speaker 1: just so like, oh, it's got to be it's got 1204 01:09:38,840 --> 01:09:41,479 Speaker 1: to think like a human to have that self awareness. 1205 01:09:41,479 --> 01:09:43,760 Speaker 1: And I'm not sure that's true. Yeah, And that is 1206 01:09:43,800 --> 01:09:46,640 Speaker 1: definitely our challenge, right as objective as we try and 1207 01:09:46,680 --> 01:09:51,320 Speaker 1: be a scientist, we are ultimately you know, limited by 1208 01:09:51,479 --> 01:09:55,200 Speaker 1: our our own lens and our imaginations for how we 1209 01:09:55,240 --> 01:09:58,080 Speaker 1: can ask questions, and our imaginations are very much sort 1210 01:09:58,080 --> 01:10:02,559 Speaker 1: of influenced by our human nous and and culturally too, right, 1211 01:10:02,640 --> 01:10:04,720 Speaker 1: so how somebody in one part of the world and 1212 01:10:04,720 --> 01:10:07,559 Speaker 1: from one culture may approach that question might be really 1213 01:10:07,600 --> 01:10:10,840 Speaker 1: different than somebody else, Which is a great reason to 1214 01:10:11,000 --> 01:10:15,280 Speaker 1: want to really expand, um the kinds of representations and science, 1215 01:10:15,360 --> 01:10:18,879 Speaker 1: because being able to bring a lot of different styles 1216 01:10:18,880 --> 01:10:22,240 Speaker 1: of thinking into the room is really helpful because collectively, 1217 01:10:22,960 --> 01:10:25,920 Speaker 1: you know, we we need that because we are already 1218 01:10:25,960 --> 01:10:29,840 Speaker 1: limited as people, absolutely and also just this is another 1219 01:10:29,880 --> 01:10:32,120 Speaker 1: thing I like to talk about on the show, is 1220 01:10:32,280 --> 01:10:36,000 Speaker 1: looking into cultural history and not having a sort of 1221 01:10:36,040 --> 01:10:38,800 Speaker 1: snobbery of like, oh, you know, as scientists, we can 1222 01:10:38,840 --> 01:10:42,400 Speaker 1: never listen to um sort of like folklore or other 1223 01:10:42,520 --> 01:10:46,680 Speaker 1: cultures because that's unscientific. It's like, well, it may not 1224 01:10:46,760 --> 01:10:51,120 Speaker 1: be enough for a study. But when you actually look 1225 01:10:51,160 --> 01:10:56,080 Speaker 1: into things like anecdotal observations of birds of prey, like 1226 01:10:56,120 --> 01:11:00,280 Speaker 1: in Australia picking up sticks and setting fires, we don't 1227 01:11:00,479 --> 01:11:03,440 Speaker 1: have we have. I don't think there's been a definitive 1228 01:11:03,479 --> 01:11:06,879 Speaker 1: study proving that yet. But if we had just ignored 1229 01:11:07,040 --> 01:11:11,360 Speaker 1: aboriginal observations and like, no, there's no way a bird 1230 01:11:11,400 --> 01:11:14,640 Speaker 1: would be smart enough to set fire like or intentionally 1231 01:11:14,680 --> 01:11:17,840 Speaker 1: spread fire, then we may not have opened up this 1232 01:11:17,880 --> 01:11:21,240 Speaker 1: whole avenue of research of like, hey, actually, there's a 1233 01:11:21,320 --> 01:11:26,360 Speaker 1: chance that these birds are intentionally or not spreading fire 1234 01:11:26,560 --> 01:11:30,240 Speaker 1: by picking up twigs from a wildfire somewhere else and 1235 01:11:30,240 --> 01:11:32,240 Speaker 1: then spreading it to somewhere else and then reaping the 1236 01:11:32,320 --> 01:11:35,439 Speaker 1: rewards by chasing all the prey items that are fleeing. 1237 01:11:36,120 --> 01:11:39,280 Speaker 1: And so I think, yeah, definitely, when we close our 1238 01:11:39,360 --> 01:11:43,439 Speaker 1: ears and eyes to other perspectives, other human perspectives were 1239 01:11:43,479 --> 01:11:46,559 Speaker 1: really shooting ourselves in the foot when it comes to 1240 01:11:47,160 --> 01:11:50,880 Speaker 1: scientific research. And I say that as a podcaster who 1241 01:11:50,960 --> 01:11:56,920 Speaker 1: doesn't do research, scolding you're scientists. It's absolutely true, and 1242 01:11:57,360 --> 01:12:00,040 Speaker 1: you know, it's very relevant to the funeral stuff. We 1243 01:12:00,040 --> 01:12:02,760 Speaker 1: were you know, what we were doing was asking very 1244 01:12:02,800 --> 01:12:07,479 Speaker 1: specific novel questions, but the idea that corvids respond strongly 1245 01:12:07,479 --> 01:12:11,760 Speaker 1: to their dead, we were absolutely not even close to 1246 01:12:11,880 --> 01:12:14,799 Speaker 1: the first people to to discuss that. You can find 1247 01:12:15,160 --> 01:12:17,680 Speaker 1: stories about it in the Koran for example. I mean, 1248 01:12:17,800 --> 01:12:22,280 Speaker 1: human beings as as a species collectively have been very 1249 01:12:22,280 --> 01:12:25,439 Speaker 1: aware of this, uh and it it's you know, it's 1250 01:12:25,479 --> 01:12:31,240 Speaker 1: a pretty harmful, very colonialist approach to ignore traditional knowledge 1251 01:12:31,280 --> 01:12:34,800 Speaker 1: and then claim discovery, and we repeat things that have 1252 01:12:34,880 --> 01:12:37,840 Speaker 1: been around for years. So it's really important for us 1253 01:12:37,920 --> 01:12:42,280 Speaker 1: to to listen to those sources of traditional knowledge and 1254 01:12:42,360 --> 01:12:47,240 Speaker 1: to you know, give them credit as amazing naturalists and 1255 01:12:47,360 --> 01:12:51,080 Speaker 1: as really important sources of information. When there is that 1256 01:12:51,160 --> 01:12:55,599 Speaker 1: kind of overlap between that cultural knowledge and then when 1257 01:12:55,640 --> 01:12:58,800 Speaker 1: it meets how we may be scientifically want to parse 1258 01:12:58,880 --> 01:13:02,800 Speaker 1: a particular question. We are always using old assumptions and 1259 01:13:02,920 --> 01:13:05,519 Speaker 1: old information that we have in order to build the 1260 01:13:05,600 --> 01:13:09,559 Speaker 1: questions that we can actually scientifically quantify. So it's why 1261 01:13:09,560 --> 01:13:13,800 Speaker 1: would we ignore anybody of knowledge just because oh, well 1262 01:13:14,640 --> 01:13:17,280 Speaker 1: this hasn't you know, this isn't like scientifics like well no, 1263 01:13:17,439 --> 01:13:21,200 Speaker 1: but neither is a bunch of other assumptions that we 1264 01:13:21,280 --> 01:13:25,200 Speaker 1: make about nature that hasn't been parsed and picked apart 1265 01:13:25,280 --> 01:13:30,640 Speaker 1: by actual experimentations and actual research observations. It makes me 1266 01:13:30,680 --> 01:13:36,200 Speaker 1: think about too, like our cultural understanding of crows and 1267 01:13:36,400 --> 01:13:40,680 Speaker 1: ravens and other corvid's, because I think we have this 1268 01:13:40,800 --> 01:13:43,240 Speaker 1: sense of them, Oh they're kind of spooky and they're 1269 01:13:43,280 --> 01:13:47,280 Speaker 1: bad omens, and that's been such a prominent thing, like 1270 01:13:47,800 --> 01:13:50,880 Speaker 1: you know, especially in the West, like this idea that 1271 01:13:50,920 --> 01:13:54,639 Speaker 1: like crows and ravens are our omens or or evil 1272 01:13:54,760 --> 01:13:58,080 Speaker 1: or occult, like people thinking that you're doing some occult 1273 01:13:58,120 --> 01:14:00,479 Speaker 1: business because I mean, to be fair, are having a 1274 01:14:00,560 --> 01:14:04,599 Speaker 1: dead crow is a little little fuff, little fun, but 1275 01:14:04,800 --> 01:14:08,000 Speaker 1: it is when you actually look into it, Uh, there 1276 01:14:08,040 --> 01:14:13,439 Speaker 1: are that is not the universal cultural depiction of crows 1277 01:14:13,600 --> 01:14:15,439 Speaker 1: or ravens at all. In fact, in a lot of 1278 01:14:15,479 --> 01:14:19,760 Speaker 1: cultures they are seen as they can be highly intelligent, 1279 01:14:20,280 --> 01:14:22,599 Speaker 1: they can be like in myths like as like highly 1280 01:14:22,600 --> 01:14:28,400 Speaker 1: intelligent like tricksters or or thinkers. They can be um 1281 01:14:28,439 --> 01:14:31,479 Speaker 1: you know, actually the opposite, like good omens signs of 1282 01:14:32,320 --> 01:14:36,840 Speaker 1: abundance and of of good luck. It's not necessarily separated 1283 01:14:36,840 --> 01:14:41,120 Speaker 1: by like region, because like corvids are a cosmopolitan species, 1284 01:14:41,160 --> 01:14:44,320 Speaker 1: are found all over the world, you know, from China 1285 01:14:44,439 --> 01:14:50,439 Speaker 1: to ancient Celtic culture. Crows were actually good, Like they 1286 01:14:50,439 --> 01:14:53,439 Speaker 1: were good omens. They weren't necessarily negative. You know. I 1287 01:14:53,479 --> 01:14:57,280 Speaker 1: think obviously we we appreciate crows now and I think 1288 01:14:57,320 --> 01:15:01,360 Speaker 1: they're they're not as maligned these days as they used 1289 01:15:01,400 --> 01:15:04,120 Speaker 1: to be. But it is something to consider when it's like, 1290 01:15:04,200 --> 01:15:06,559 Speaker 1: you know, you imagine if we had only relied on 1291 01:15:06,560 --> 01:15:11,880 Speaker 1: one cultural understanding of crows and an unchanging idea that 1292 01:15:11,920 --> 01:15:14,240 Speaker 1: they're that they're bad and evil, like, we would never 1293 01:15:14,320 --> 01:15:19,439 Speaker 1: find out how intelligent and and amazing and emotionally deep 1294 01:15:19,479 --> 01:15:22,360 Speaker 1: that they are. Yeah, it's one of my favorite things 1295 01:15:22,360 --> 01:15:26,519 Speaker 1: about crows is because of their proximity to us and 1296 01:15:26,560 --> 01:15:32,360 Speaker 1: their cosmopolitan nous, they are really incorporated into the mythology 1297 01:15:32,400 --> 01:15:35,960 Speaker 1: and the creation stories of almost all peoples around the world. 1298 01:15:36,560 --> 01:15:38,600 Speaker 1: And it's pretty you know, I don't look at it 1299 01:15:38,640 --> 01:15:41,360 Speaker 1: as a bad thing that they have really different reputations 1300 01:15:41,400 --> 01:15:43,280 Speaker 1: depending on where in the world they are. I think 1301 01:15:43,280 --> 01:15:46,799 Speaker 1: it's a really interesting aspect of them that, like you mentioned, 1302 01:15:46,800 --> 01:15:48,960 Speaker 1: you know, in ancient Greece they were symbols of love. 1303 01:15:49,760 --> 01:15:54,760 Speaker 1: In China, they were symbols of prophecy and luck. In 1304 01:15:55,120 --> 01:15:59,080 Speaker 1: Hiata storytelling traditions, which is a tribe in the Coast 1305 01:15:59,120 --> 01:16:04,160 Speaker 1: Salish read gen they were ravens were ultimate creators. Um. 1306 01:16:04,200 --> 01:16:08,920 Speaker 1: So it's it's just really amazing how much humans and 1307 01:16:09,000 --> 01:16:12,519 Speaker 1: corvids are sort of inextricably linked, and the way that 1308 01:16:12,560 --> 01:16:16,479 Speaker 1: we've really used them to understand and tell stories about 1309 01:16:16,600 --> 01:16:19,280 Speaker 1: how the world came to be and what it means. 1310 01:16:19,320 --> 01:16:21,600 Speaker 1: Often when we think about our relations to animals, we 1311 01:16:21,600 --> 01:16:26,719 Speaker 1: think about um domesticated animals or pets, not necessarily animals 1312 01:16:26,760 --> 01:16:30,960 Speaker 1: that we haven't domesticated that are not pets, you know, 1313 01:16:31,479 --> 01:16:34,320 Speaker 1: as cool as they are as cool any bird caretaker 1314 01:16:34,360 --> 01:16:37,040 Speaker 1: will tell you that ravens and crows do not make 1315 01:16:37,080 --> 01:16:42,240 Speaker 1: good pets. They are they're not. They are very cute. 1316 01:16:42,320 --> 01:16:45,320 Speaker 1: Of course, everyone would love to have a fun friend 1317 01:16:45,439 --> 01:16:48,120 Speaker 1: and a pet raven, but it's they just are too. 1318 01:16:48,200 --> 01:16:52,519 Speaker 1: They're so strong willed, like they have they have their 1319 01:16:52,520 --> 01:16:54,880 Speaker 1: own thing going on. They want to do their own stuff. 1320 01:16:54,920 --> 01:16:58,160 Speaker 1: They don't really want to they they're very intelligent, and 1321 01:16:58,240 --> 01:17:00,720 Speaker 1: you think, well, then that means they can be an 1322 01:17:00,880 --> 01:17:04,960 Speaker 1: untrainable animal. Is not an unintelligent animal. It's one that 1323 01:17:05,240 --> 01:17:09,679 Speaker 1: sees no reason to meet drains exactly. Yeah, And crows 1324 01:17:09,680 --> 01:17:13,559 Speaker 1: and ravens really are in terms of pet pets are 1325 01:17:13,640 --> 01:17:16,720 Speaker 1: really just sort of two year olds, kind of at 1326 01:17:16,720 --> 01:17:20,439 Speaker 1: their most candy hopped up moment, but that can fly 1327 01:17:21,360 --> 01:17:24,040 Speaker 1: and are smarter and never grow out of it. And 1328 01:17:24,320 --> 01:17:27,040 Speaker 1: sharp clause and I'm sharp clause. Maybe not as much 1329 01:17:27,040 --> 01:17:30,760 Speaker 1: as a raptor, but you know, they can make you 1330 01:17:30,800 --> 01:17:35,760 Speaker 1: bleed to believe you me so yeah, not not good 1331 01:17:35,800 --> 01:17:39,320 Speaker 1: for pets. Not good for pets. The wonderful thing is 1332 01:17:39,520 --> 01:17:43,599 Speaker 1: it doesn't matter because wild birds are generally speaking, very 1333 01:17:43,680 --> 01:17:47,480 Speaker 1: open to companionships. And it will have a few more boundaries, 1334 01:17:47,520 --> 01:17:50,479 Speaker 1: but those boundaries keep everybody safer. But you can still 1335 01:17:50,560 --> 01:17:53,920 Speaker 1: have these really wonderful and intimate relationships with wild birds 1336 01:17:53,960 --> 01:17:56,360 Speaker 1: where they learned to recognize you and come with you, 1337 01:17:56,479 --> 01:17:59,400 Speaker 1: and they maybe even bring you presence every once in 1338 01:17:59,400 --> 01:18:02,120 Speaker 1: a while. I saw I saw it. It was so 1339 01:18:02,200 --> 01:18:05,280 Speaker 1: funny because I was actually looking through Snopes because I 1340 01:18:05,320 --> 01:18:07,360 Speaker 1: was trying to find if there were some chrow myths 1341 01:18:07,400 --> 01:18:09,840 Speaker 1: that we should debunk, and I decided not to do that. 1342 01:18:09,880 --> 01:18:13,719 Speaker 1: But I found this article about someone who was thought 1343 01:18:13,760 --> 01:18:16,800 Speaker 1: that they were getting presents from from some I think 1344 01:18:16,840 --> 01:18:20,479 Speaker 1: it was crows, like a little some pine or was 1345 01:18:20,520 --> 01:18:23,240 Speaker 1: it the pop can? It was the pop lids on 1346 01:18:23,439 --> 01:18:26,640 Speaker 1: the the soda can lids on the And guess who 1347 01:18:26,840 --> 01:18:29,800 Speaker 1: was interviewed in the article I saw you was like, hey, 1348 01:18:30,040 --> 01:18:34,840 Speaker 1: whole circle to find out if they were actually because 1349 01:18:34,880 --> 01:18:37,040 Speaker 1: the person was saying, like, well, we'll leave out food 1350 01:18:37,080 --> 01:18:39,400 Speaker 1: for them, and like, you know, we seem to have 1351 01:18:39,479 --> 01:18:41,840 Speaker 1: this they really are interested in what our kids are 1352 01:18:41,840 --> 01:18:44,479 Speaker 1: doing and they have this friendly relationship. And then they 1353 01:18:44,600 --> 01:18:48,040 Speaker 1: left these pine fronds like stuck in a tab like 1354 01:18:48,400 --> 01:18:50,479 Speaker 1: that you'd get off of a soda can and then 1355 01:18:50,520 --> 01:18:52,240 Speaker 1: just like left them there, and like are they making 1356 01:18:52,360 --> 01:18:56,600 Speaker 1: us presents? Uh? And I think like ultimately the answer is, 1357 01:18:56,640 --> 01:19:01,960 Speaker 1: like who knows exactly. They definitely leave things behind in 1358 01:19:02,040 --> 01:19:06,280 Speaker 1: places where they're routinely fed. The question is is it 1359 01:19:06,400 --> 01:19:09,120 Speaker 1: an act of gratitude or is it just that these 1360 01:19:09,160 --> 01:19:11,760 Speaker 1: birds are curious and sometimes carry things around and then 1361 01:19:11,880 --> 01:19:14,320 Speaker 1: leave them because something better was there that they made. 1362 01:19:14,320 --> 01:19:17,280 Speaker 1: All right, So if you trick or treat, which I 1363 01:19:17,320 --> 01:19:21,960 Speaker 1: know is curtailed this year because of the pandemic, but like, 1364 01:19:22,360 --> 01:19:24,880 Speaker 1: you're not necessarily guaranteed like to be able to go 1365 01:19:25,040 --> 01:19:28,240 Speaker 1: trick or treat with a crow, Like they may leave 1366 01:19:28,320 --> 01:19:31,200 Speaker 1: you something, or they may just yell at you, or 1367 01:19:31,320 --> 01:19:33,960 Speaker 1: they may just yell at you. And I will tell you, Um, 1368 01:19:34,000 --> 01:19:36,120 Speaker 1: I have paid friends with many crow in my time, 1369 01:19:36,200 --> 01:19:40,200 Speaker 1: and I've I've never gotten a present. So that's my 1370 01:19:40,360 --> 01:19:43,960 Speaker 1: main evidence for that. It can't be gratitude. At least 1371 01:19:44,280 --> 01:19:46,559 Speaker 1: at least you didn't get a present, if you know 1372 01:19:46,600 --> 01:19:49,719 Speaker 1: what I mean on your head a present, Yeah, because 1373 01:19:49,760 --> 01:19:53,880 Speaker 1: that that can also And actually, since you brought it up, 1374 01:19:53,880 --> 01:19:56,880 Speaker 1: I will just tell people you want to include this 1375 01:19:57,400 --> 01:20:00,040 Speaker 1: U to be careful because one of the reasons it 1376 01:20:00,040 --> 01:20:02,760 Speaker 1: is important to make boundaries with crows is that every 1377 01:20:02,760 --> 01:20:04,599 Speaker 1: once in a while you'll get one that can get 1378 01:20:04,600 --> 01:20:07,479 Speaker 1: really aggressive about wanting to get fed, and they will 1379 01:20:07,520 --> 01:20:09,120 Speaker 1: come and give you a tap on the head and 1380 01:20:09,200 --> 01:20:12,120 Speaker 1: it's not usually enough to cause to break skin, but 1381 01:20:12,320 --> 01:20:14,960 Speaker 1: it is scary and it doesn't feel great. So that's 1382 01:20:14,960 --> 01:20:17,400 Speaker 1: a good reason. You know that throwing a few peanuts 1383 01:20:17,439 --> 01:20:19,960 Speaker 1: here and there. Totally fine most birds, but if you 1384 01:20:20,000 --> 01:20:22,400 Speaker 1: see you know, don't don't try and coax these birds 1385 01:20:22,439 --> 01:20:25,479 Speaker 1: into hand feeding because once we sort of break down those, 1386 01:20:25,840 --> 01:20:28,800 Speaker 1: you know, all of the barriers, if you have a 1387 01:20:28,880 --> 01:20:31,760 Speaker 1: hyper aggressive crow, you can end up leading it into 1388 01:20:31,760 --> 01:20:35,200 Speaker 1: a situation where it will ultimately be hurt or euthanis 1389 01:20:35,320 --> 01:20:39,439 Speaker 1: because it's scaring people. Just just respectful boundaries. It's not 1390 01:20:39,760 --> 01:20:42,760 Speaker 1: it's you're not a You're not a Disney princess. Who's 1391 01:20:42,760 --> 01:20:45,360 Speaker 1: gonna like have a bunch of crows a light on 1392 01:20:45,439 --> 01:20:50,320 Speaker 1: your shoulders without consequently, right, I know, and I've tried, 1393 01:20:50,479 --> 01:20:53,840 Speaker 1: so you take it from me, crow expert, that is 1394 01:20:53,840 --> 01:20:56,760 Speaker 1: not in anyone's future. I think that's actually a really 1395 01:20:56,800 --> 01:20:59,639 Speaker 1: good point because I think it is an important thing 1396 01:21:00,000 --> 01:21:04,200 Speaker 1: where I really want to encourage people to enjoy nature 1397 01:21:04,439 --> 01:21:06,960 Speaker 1: and not feel afraid, like not feel like, oh, I 1398 01:21:07,040 --> 01:21:10,160 Speaker 1: can't interact with nature at all, otherwise I'm gonna ruin 1399 01:21:10,280 --> 01:21:12,920 Speaker 1: something or I'm gonna get hurt. Um. But on the 1400 01:21:12,920 --> 01:21:15,120 Speaker 1: other hand, it's just like you know, just there are 1401 01:21:15,240 --> 01:21:19,240 Speaker 1: certain boundaries that you need to maintain, like you uh, 1402 01:21:19,280 --> 01:21:22,840 Speaker 1: in general, like you know, don't Although we talked about 1403 01:21:22,880 --> 01:21:25,640 Speaker 1: the cheetah study. I wouldn't recommend necessarily going out and 1404 01:21:25,680 --> 01:21:28,160 Speaker 1: handing cheetos out to crows, as much as they might 1405 01:21:28,240 --> 01:21:31,479 Speaker 1: love it, It's not probably the healthiest thing. Kaylee only 1406 01:21:31,600 --> 01:21:34,639 Speaker 1: used a light sprinkle for her study, just a light seasoning. 1407 01:21:35,960 --> 01:21:38,760 Speaker 1: Maybe that's something that's hard for humans to get comfortable with, 1408 01:21:38,880 --> 01:21:41,960 Speaker 1: just co existing with an animal that we can't tame, 1409 01:21:42,160 --> 01:21:46,040 Speaker 1: that we can't use, but that can live alongside us 1410 01:21:46,400 --> 01:21:50,519 Speaker 1: and be friendly with us, but we can't own. And 1411 01:21:50,560 --> 01:21:53,519 Speaker 1: I think we just have to like maybe relax, not 1412 01:21:53,680 --> 01:21:57,960 Speaker 1: be such control freaks, just let that relationship be you know, 1413 01:21:58,200 --> 01:22:02,360 Speaker 1: just mutual respect. Yeah, exactly. Think of it a little 1414 01:22:02,360 --> 01:22:05,479 Speaker 1: bit like approaching a friendship with your boss, right, Like 1415 01:22:05,800 --> 01:22:09,000 Speaker 1: you can be the boss. Crow is the boss, right, 1416 01:22:09,040 --> 01:22:11,920 Speaker 1: you can be cordial and friendly, you know, d you know, 1417 01:22:12,439 --> 01:22:15,760 Speaker 1: a kind gesture here and there, but you know, boundaries 1418 01:22:15,760 --> 01:22:18,000 Speaker 1: are important, you don't you don't want to cross too many, 1419 01:22:18,080 --> 01:22:20,600 Speaker 1: Like you don't want them like following you on Facebook 1420 01:22:20,640 --> 01:22:22,880 Speaker 1: and coming to your house all the time. That would 1421 01:22:22,880 --> 01:22:25,400 Speaker 1: be weird. So yeah, so you want to just have 1422 01:22:25,600 --> 01:22:28,120 Speaker 1: that nice, friendly relationship, but you also want to be 1423 01:22:28,160 --> 01:22:30,040 Speaker 1: able to be like, you know what, but I'm busy 1424 01:22:30,080 --> 01:22:34,240 Speaker 1: today and not have it be a thing a polite 1425 01:22:34,400 --> 01:22:38,960 Speaker 1: business casual relationship with crows. Right, yes, I love that 1426 01:22:39,000 --> 01:22:44,080 Speaker 1: business casual. You have a crow, your business card, payper 1427 01:22:44,120 --> 01:22:46,280 Speaker 1: peanut to it, give you your business card, but I 1428 01:22:46,400 --> 01:22:51,080 Speaker 1: don't invite it for you know, into your house, right exactly. Well, 1429 01:22:51,120 --> 01:22:54,280 Speaker 1: thank you so much for joining me today, Kaylee. This 1430 01:22:54,320 --> 01:22:57,559 Speaker 1: has been amazing. I'm a big fan of your work, 1431 01:22:57,640 --> 01:23:01,160 Speaker 1: big fan of crow or you guys. If you're on Twitter, 1432 01:23:01,200 --> 01:23:04,000 Speaker 1: you can check out crow or no hashtag crow or 1433 01:23:04,120 --> 01:23:07,800 Speaker 1: no where you can test your crow identification skills. And 1434 01:23:08,000 --> 01:23:12,680 Speaker 1: but Kaylee is very tricky, so don't trust her. But 1435 01:23:12,760 --> 01:23:16,280 Speaker 1: do you have anything to plug? Sure? So people can 1436 01:23:16,320 --> 01:23:19,599 Speaker 1: find me on Twitter at corporate research, on Instagram at 1437 01:23:19,600 --> 01:23:24,080 Speaker 1: corporate research, on Facebook corporate research, or on my blog. 1438 01:23:24,479 --> 01:23:27,960 Speaker 1: I want to guess what it's called, um horse research, 1439 01:23:29,320 --> 01:23:33,240 Speaker 1: did you know, Katie? Or the blog corporate research. I 1440 01:23:33,240 --> 01:23:36,360 Speaker 1: have a ton of articles. I have articles about you 1441 01:23:36,400 --> 01:23:40,000 Speaker 1: know them recognizing themselves in mirrors. I have articles about 1442 01:23:40,000 --> 01:23:42,160 Speaker 1: whether or not they kill all the songbirds, all kinds 1443 01:23:42,160 --> 01:23:44,759 Speaker 1: of good stuff in there, just anywhere on social media. 1444 01:23:45,000 --> 01:23:48,519 Speaker 1: Google corporate research and I'm probably there. We're okay, Yeah, 1445 01:23:48,880 --> 01:23:51,120 Speaker 1: it's fine to find a If you find a murder 1446 01:23:51,160 --> 01:24:00,880 Speaker 1: of Crow's, Kyley's probably behind it all and that you 1447 01:24:00,920 --> 01:24:03,880 Speaker 1: can find us as always at Creature feature Pot on 1448 01:24:03,960 --> 01:24:07,320 Speaker 1: Instagram at Creature feet Pot on Twitter, that's f e 1449 01:24:07,479 --> 01:24:10,439 Speaker 1: A T, not f e T. That is something very different, 1450 01:24:10,720 --> 01:24:13,160 Speaker 1: and you can find me on Twitter at Katie Golden 1451 01:24:13,320 --> 01:24:15,799 Speaker 1: just for you know, my random Katie thoughts, not always 1452 01:24:15,840 --> 01:24:19,840 Speaker 1: about animals, but sometimes about animals as always, I am 1453 01:24:20,320 --> 01:24:23,759 Speaker 1: pro bird rights where it turns out, you guys, birds 1454 01:24:23,800 --> 01:24:26,479 Speaker 1: are pretty cool and I do think they should be president, 1455 01:24:26,960 --> 01:24:29,400 Speaker 1: but you know that's just my opinion, not to get 1456 01:24:29,439 --> 01:24:34,439 Speaker 1: all political on the podcast. Definitely birds should be president anyways, 1457 01:24:34,439 --> 01:24:38,720 Speaker 1: would be a hundred times smarter than our guys. Get 1458 01:24:39,200 --> 01:24:42,479 Speaker 1: get out and vote because I love animals, and you 1459 01:24:42,640 --> 01:24:47,400 Speaker 1: can't love animals and not pay attention to politics, because hey, 1460 01:24:47,439 --> 01:24:50,920 Speaker 1: some politicians actually are really bad for the planet and 1461 01:24:50,960 --> 01:24:54,920 Speaker 1: do things that actively harm the environment, which is where 1462 01:24:54,960 --> 01:24:58,000 Speaker 1: we all live and where animals live. And in particular, 1463 01:24:58,080 --> 01:25:02,120 Speaker 1: the Trump administration has been exceedingly bad when it comes 1464 01:25:02,160 --> 01:25:08,040 Speaker 1: to obviously environmental protections but also specifically protections for birds, 1465 01:25:08,320 --> 01:25:12,440 Speaker 1: and just like aggressively taking away all of these protections 1466 01:25:12,439 --> 01:25:16,120 Speaker 1: for birds, making it easier for people to kill birds, 1467 01:25:16,120 --> 01:25:19,800 Speaker 1: for industries to kill birds. It's really horrible. So if 1468 01:25:19,840 --> 01:25:24,080 Speaker 1: you love birds, get out and vote. You know, just 1469 01:25:25,520 --> 01:25:28,400 Speaker 1: it's not good. It's not a good situation. If you 1470 01:25:28,479 --> 01:25:32,160 Speaker 1: have any questions or pictures of your pets you want 1471 01:25:32,200 --> 01:25:36,040 Speaker 1: to send, there's Creature Feature pot at gmail dot com. 1472 01:25:36,080 --> 01:25:38,920 Speaker 1: Thank you so much for listening. If you're enjoying the show, 1473 01:25:39,040 --> 01:25:41,439 Speaker 1: you can leave a rating or review. I read all 1474 01:25:41,439 --> 01:25:45,439 Speaker 1: the reviews and it warms my little cold triveled bird heart. 1475 01:25:47,000 --> 01:25:49,599 Speaker 1: Thanks to the Space Classics for their super awesome song 1476 01:25:49,840 --> 01:25:52,639 Speaker 1: x Alumina. Creature Feature is a production of I Heart Radio. 1477 01:25:52,760 --> 01:25:55,080 Speaker 1: For more podcasts like the one you just heard, visit 1478 01:25:55,120 --> 01:25:58,200 Speaker 1: the I heart Radio app, Apple podcast, or Hey guess what? 1479 01:25:58,200 --> 01:26:00,439 Speaker 1: Where have you listen to your favorite shows? See you 1480 01:26:00,479 --> 01:26:03,479 Speaker 1: next Wednesday. Un Happy Creature, We