1 00:00:03,040 --> 00:00:05,400 Speaker 1: Welcome to sbot to Blow Your Mind production of My 2 00:00:05,480 --> 00:00:14,560 Speaker 1: Heart Radio. Hey, welcome to Stuff to Blow your Mind. 3 00:00:14,640 --> 00:00:17,599 Speaker 1: My name is Robert lamp and I'm Joe McCormick. Hey, 4 00:00:17,840 --> 00:00:21,239 Speaker 1: it's our yearly Ignobles episode. That's right, This is a 5 00:00:21,320 --> 00:00:24,840 Speaker 1: tradition for us. These awards go out generally what mid 6 00:00:24,920 --> 00:00:28,560 Speaker 1: to late September. We always come back and hit them 7 00:00:28,560 --> 00:00:31,160 Speaker 1: in early November, after we're done with all of our 8 00:00:31,320 --> 00:00:33,760 Speaker 1: Halloween content. And it's just, you know, a great way 9 00:00:33,800 --> 00:00:37,440 Speaker 1: to dive back in to, uh, to serious scientific study. 10 00:00:38,320 --> 00:00:42,720 Speaker 1: And I'm not joking because granted, these are awards that 11 00:00:42,720 --> 00:00:46,720 Speaker 1: that's that celebrate and highlight studies that may seem a 12 00:00:46,720 --> 00:00:49,960 Speaker 1: bit absurd and a bit a bit comical, but generally speaking, 13 00:00:50,000 --> 00:00:53,159 Speaker 1: we're dealing with with with with actual research that doesn't 14 00:00:53,200 --> 00:00:56,480 Speaker 1: at least in some way expand our scientific knowledge of 15 00:00:56,520 --> 00:00:58,800 Speaker 1: the world. Right, even if it's funny, you can usually 16 00:00:58,840 --> 00:01:02,720 Speaker 1: learn something interesting from it, right. So the basics on 17 00:01:02,800 --> 00:01:06,360 Speaker 1: the Igno Belt obviously it's a play on the Nobel Prize. Uh. 18 00:01:06,480 --> 00:01:09,600 Speaker 1: These have been awarded each year since nineteen by the 19 00:01:09,640 --> 00:01:13,800 Speaker 1: Annimals of Improbable Research, which is a publication that uh, 20 00:01:14,040 --> 00:01:17,160 Speaker 1: you know, prides itself on seeking out the absurd and 21 00:01:17,160 --> 00:01:20,399 Speaker 1: the humorous and the whimsical within the realms of legitimate 22 00:01:20,440 --> 00:01:23,600 Speaker 1: scientific research. The purpose of the award, according to the 23 00:01:23,680 --> 00:01:27,440 Speaker 1: editors UH is to quote to honor achievements that first 24 00:01:27,440 --> 00:01:30,480 Speaker 1: make people laugh and then make them think. Furthermore, they 25 00:01:30,480 --> 00:01:33,319 Speaker 1: stressed that the ten prizes aren't necessarily meant to pass 26 00:01:33,400 --> 00:01:37,200 Speaker 1: judgment on the winners. Instead, the official website emphasizes that 27 00:01:37,240 --> 00:01:41,039 Speaker 1: the prizes quote celebrate the unusual, honor the imaginative, and 28 00:01:41,080 --> 00:01:45,240 Speaker 1: spur people's interests in science, medicine, and technology. And the 29 00:01:45,319 --> 00:01:48,760 Speaker 1: key individual in all this is editor Mark Abrams, who 30 00:01:48,800 --> 00:01:52,080 Speaker 1: again has been heading this up since now. In some 31 00:01:52,200 --> 00:01:56,120 Speaker 1: previous years we've covered all of the prizes awarded. We're 32 00:01:56,120 --> 00:01:57,560 Speaker 1: not going to be doing that this year. We just 33 00:01:57,600 --> 00:02:00,400 Speaker 1: wanted to pick out a selection and focus on a 34 00:02:00,400 --> 00:02:03,000 Speaker 1: few of them that seemed fun or interesting for one 35 00:02:03,040 --> 00:02:05,600 Speaker 1: episode this year. We might come back with multiple parts 36 00:02:05,680 --> 00:02:08,320 Speaker 1: in future years, but this year we're just sticking with 37 00:02:08,360 --> 00:02:10,800 Speaker 1: the one right and if you want the full list 38 00:02:10,800 --> 00:02:14,799 Speaker 1: of winners then you should go to www dot Improbable 39 00:02:15,040 --> 00:02:19,800 Speaker 1: dot com. Now, this year's ceremonies happened entirely online on Thursday, 40 00:02:19,800 --> 00:02:24,720 Speaker 1: septe um and uh yeah, let's let's dive right in. 41 00:02:24,840 --> 00:02:27,639 Speaker 1: Let's see what which one are we going to discuss first? 42 00:02:28,080 --> 00:02:30,440 Speaker 1: What we've We've got to start with a knife made 43 00:02:30,440 --> 00:02:33,160 Speaker 1: of feces, because that seems like the perfect metaphor for 44 00:02:33,200 --> 00:02:37,200 Speaker 1: the year is just being menaced with a blade of 45 00:02:37,200 --> 00:02:40,560 Speaker 1: of excrement, blade of excrement, it shall be. This was 46 00:02:40,680 --> 00:02:44,919 Speaker 1: the Materials Science Prize and it does concern a frozen 47 00:02:45,000 --> 00:02:48,000 Speaker 1: feces knife. Um. Now to to put this in the 48 00:02:48,000 --> 00:02:50,320 Speaker 1: correct um, you know, frame of reverence, so to really 49 00:02:50,320 --> 00:02:53,400 Speaker 1: prepare you for what we're specifically talking about here, I'm 50 00:02:53,400 --> 00:02:56,240 Speaker 1: going to read a segment here from Shadows in the 51 00:02:56,280 --> 00:03:00,160 Speaker 1: Sun Travels to Landscapes of Spirit and Desire. Uh is 52 00:03:00,160 --> 00:03:04,160 Speaker 1: a book came out by Wade Davis, a Canadian US 53 00:03:04,240 --> 00:03:10,200 Speaker 1: Colombian cultural anthropologist, ethnobotanist, author and photographer. Quote. There is 54 00:03:10,240 --> 00:03:12,600 Speaker 1: a well known account of an old Inuit man who 55 00:03:12,639 --> 00:03:15,960 Speaker 1: refused to move into a settlement over the objections of 56 00:03:16,040 --> 00:03:19,040 Speaker 1: his family. He made plans to stay on the ice. 57 00:03:19,800 --> 00:03:22,720 Speaker 1: To stop him, they took away all his tools, so 58 00:03:22,760 --> 00:03:25,440 Speaker 1: in the midst of a winter gale, he stepped out 59 00:03:25,440 --> 00:03:29,080 Speaker 1: of their iglue defecated and honed the feces into a 60 00:03:29,080 --> 00:03:32,760 Speaker 1: frozen blade, which he sharpened with a spray of saliva. 61 00:03:33,040 --> 00:03:35,840 Speaker 1: With the knife, he killed a dog using its ribbed 62 00:03:35,880 --> 00:03:39,080 Speaker 1: cage as a sled, and it's high to harness another dog. 63 00:03:39,440 --> 00:03:44,480 Speaker 1: He disappeared into the darkness. WHOA, Now that's that's that's 64 00:03:44,600 --> 00:03:48,160 Speaker 1: a pretty awesome little tail there. That's beyond Rambo levels 65 00:03:48,200 --> 00:03:51,520 Speaker 1: of of improvised tools. I mean, that's that's good stuff, 66 00:03:51,800 --> 00:03:55,840 Speaker 1: beyond the Giver, beyond Rambo. Yeah, so this is this 67 00:03:55,920 --> 00:03:58,360 Speaker 1: is the account or one of two accounts that the 68 00:03:58,400 --> 00:04:00,400 Speaker 1: study we're gonna get to is going to deal with. 69 00:04:00,920 --> 00:04:02,920 Speaker 1: I do think that I thought I would point out 70 00:04:02,920 --> 00:04:05,720 Speaker 1: though for long time listeners of the show, you might 71 00:04:05,800 --> 00:04:10,720 Speaker 1: recognize the name Wade Davis. Davis has written no numerous 72 00:04:10,720 --> 00:04:13,200 Speaker 1: books over the years, but he was perhaps most famously 73 00:04:13,280 --> 00:04:17,880 Speaker 1: the author of The Serpent and the Rainbow um, which, 74 00:04:17,880 --> 00:04:19,760 Speaker 1: as we discussed on the show before, put forward the 75 00:04:19,839 --> 00:04:24,480 Speaker 1: hypothesis that tetrato toxin is linked to the zombie legend 76 00:04:24,520 --> 00:04:29,520 Speaker 1: and Haiti hypo and a hypothesis that proved somewhat controversial. Uh. 77 00:04:29,560 --> 00:04:31,719 Speaker 1: This is a nonfiction book, but it served as the 78 00:04:31,760 --> 00:04:35,720 Speaker 1: inspiration for the West Craven film, which was just an 79 00:04:35,760 --> 00:04:40,800 Speaker 1: infamously troubled production filmed on location in Haiti, starring Bill Pullman, 80 00:04:41,320 --> 00:04:43,920 Speaker 1: uh Paul Winfield and I can't remember if there was 81 00:04:43,920 --> 00:04:47,279 Speaker 1: anybody else really have note in that. But um Shadows 82 00:04:47,279 --> 00:04:49,679 Speaker 1: of the Sun, on the other hand, collects various essays 83 00:04:49,680 --> 00:04:53,040 Speaker 1: by Davis concerning various parts of the world, including the 84 00:04:53,040 --> 00:04:55,320 Speaker 1: innuits of the Arctic Circle. But let's get back to 85 00:04:55,360 --> 00:04:59,640 Speaker 1: this poop blade, so material sciences aside. We'll get into 86 00:04:59,640 --> 00:05:02,599 Speaker 1: the material sciences here. This seems like a perfectly great 87 00:05:02,680 --> 00:05:05,720 Speaker 1: legend of a man so rugged and committed to life 88 00:05:05,720 --> 00:05:08,160 Speaker 1: on the ice that robbed of his tools, he will 89 00:05:08,240 --> 00:05:11,200 Speaker 1: forge a blade from his own excrement and use it 90 00:05:11,240 --> 00:05:13,640 Speaker 1: to cut a sled and harness from one dog, and 91 00:05:13,640 --> 00:05:16,480 Speaker 1: then lash that sled to another dog and then just 92 00:05:16,640 --> 00:05:19,360 Speaker 1: escape into the wilds. Right. It's sort of the ultimate 93 00:05:19,440 --> 00:05:23,200 Speaker 1: story of of self reliance and resourcefulness. But it does 94 00:05:23,320 --> 00:05:26,960 Speaker 1: raise the question is this possible? Could you actually do 95 00:05:27,080 --> 00:05:30,320 Speaker 1: this right? Because what works in legend doesn't necessarily work 96 00:05:30,360 --> 00:05:32,800 Speaker 1: in the real world. But that's where this study enters 97 00:05:32,839 --> 00:05:35,400 Speaker 1: the picture to shed light on the legend and see 98 00:05:35,400 --> 00:05:39,599 Speaker 1: if it melts or see if it holds its form um. 99 00:05:39,640 --> 00:05:41,760 Speaker 1: So I'm not going to read the entire title of 100 00:05:41,760 --> 00:05:44,520 Speaker 1: the paper just yet because it gives away the answer. 101 00:05:44,839 --> 00:05:47,920 Speaker 1: But essentially this was looking to it was. It had 102 00:05:47,920 --> 00:05:51,360 Speaker 1: to do with experimental replicate replication of a knife made 103 00:05:51,360 --> 00:05:55,400 Speaker 1: from frozen human feces, and it was by Aaron at All, 104 00:05:55,400 --> 00:05:58,719 Speaker 1: published in the Journal of Archaeological Science in October of 105 00:05:58,760 --> 00:06:03,400 Speaker 1: twenty nineteen. Uh. That is meeting I Aaron, Associate Professor 106 00:06:03,400 --> 00:06:07,480 Speaker 1: of Anthropology and Director of Archaeology at Kent State University. UH. 107 00:06:07,680 --> 00:06:11,120 Speaker 1: He's the key investigator in this. He's also the one 108 00:06:11,160 --> 00:06:14,000 Speaker 1: who's poop they will use. Now, this is interesting because 109 00:06:14,000 --> 00:06:16,240 Speaker 1: it ties into some stuff we've talked about on the 110 00:06:16,240 --> 00:06:18,840 Speaker 1: show recently. For example, in the Pike Create episode PI 111 00:06:18,960 --> 00:06:21,640 Speaker 1: Crete is. If you didn't check that one out yet, 112 00:06:21,680 --> 00:06:23,120 Speaker 1: that was a lot of fun. But it's a story 113 00:06:23,160 --> 00:06:28,039 Speaker 1: about an attempt during World War Two to manufacture a 114 00:06:28,120 --> 00:06:32,000 Speaker 1: sort of floating armored aircraft carrier out of what would 115 00:06:32,040 --> 00:06:35,279 Speaker 1: have been a mixture of wood, pulp and ice. And 116 00:06:35,320 --> 00:06:38,279 Speaker 1: it kind of gets you considering the different possibilities of 117 00:06:38,560 --> 00:06:43,040 Speaker 1: what kinds of tools and even structures or vehicles you 118 00:06:43,120 --> 00:06:46,480 Speaker 1: can make out of various types of frozen material, because 119 00:06:46,600 --> 00:06:51,279 Speaker 1: the material properties of water with saturated wood pulp in 120 00:06:51,320 --> 00:06:55,160 Speaker 1: it are are very different when frozen than just plain water. Yeah, 121 00:06:55,279 --> 00:06:58,400 Speaker 1: and and really that the work we did researching PI 122 00:06:58,480 --> 00:07:00,760 Speaker 1: cret I mean it makes you think, well, maybe this 123 00:07:00,839 --> 00:07:04,680 Speaker 1: could work, right, because what is fecal matter, But you know, 124 00:07:04,800 --> 00:07:07,520 Speaker 1: it has water and it obviously, but it also has 125 00:07:07,560 --> 00:07:11,640 Speaker 1: these these different depending on the diet. Yeah, there's gonna 126 00:07:11,640 --> 00:07:14,360 Speaker 1: be some other stuff in there that could potentially add 127 00:07:14,360 --> 00:07:18,040 Speaker 1: to the structure and keep it from shattering. H um. Yeah, 128 00:07:18,080 --> 00:07:21,800 Speaker 1: I mean it's one of these things that sounds potentially plausible. 129 00:07:21,840 --> 00:07:24,360 Speaker 1: And and again that's where the experiment comes into play. 130 00:07:24,440 --> 00:07:26,640 Speaker 1: I mean it does make you wonder what should you 131 00:07:26,720 --> 00:07:29,240 Speaker 1: eat if you want your fecal matter to be the 132 00:07:29,280 --> 00:07:34,160 Speaker 1: most knife ready. Yeah. Of course. It's also we mentioned 133 00:07:34,160 --> 00:07:37,360 Speaker 1: I think Mortal Kombat Sub Zero, the the character the 134 00:07:37,640 --> 00:07:40,640 Speaker 1: warrior in the video games and the movies that that 135 00:07:40,760 --> 00:07:43,360 Speaker 1: the in addition to freezing people solid and shattering them, 136 00:07:43,520 --> 00:07:47,119 Speaker 1: also crafts magical weapons out of out of magical ice. 137 00:07:47,800 --> 00:07:51,360 Speaker 1: Uh So really this is this is essentially fodder for 138 00:07:51,440 --> 00:07:54,640 Speaker 1: a new Mortal Kombat character, like the poopier version of 139 00:07:54,680 --> 00:07:57,640 Speaker 1: sub zero. Okay, I gotta know the answer, all right, Well, 140 00:07:57,680 --> 00:08:00,000 Speaker 1: let's work our way up to the answers. So, as 141 00:08:00,040 --> 00:08:03,440 Speaker 1: the author's point out, Davis's account in the book was 142 00:08:03,480 --> 00:08:09,080 Speaker 1: attributed to one Olayuk nar Quitarvek, who who said this 143 00:08:09,160 --> 00:08:12,800 Speaker 1: about his own grandfather in the nineteen fifties. Um, I 144 00:08:12,800 --> 00:08:14,840 Speaker 1: mean the grandfather would have lived in the nineteen fifties. 145 00:08:14,880 --> 00:08:18,320 Speaker 1: That's the idea here now. Davis himself admitted that he 146 00:08:18,360 --> 00:08:21,720 Speaker 1: initially took the story as a humorous one and admits 147 00:08:21,760 --> 00:08:24,600 Speaker 1: that it might well be more legend than reality. But 148 00:08:24,640 --> 00:08:28,160 Speaker 1: it was subsequently repeated in various texts and uh and David. 149 00:08:28,200 --> 00:08:30,480 Speaker 1: But Davis did say that, well, okay, there is an 150 00:08:30,480 --> 00:08:33,160 Speaker 1: account we can look to that could potentially back this up. 151 00:08:33,480 --> 00:08:37,920 Speaker 1: And it's an account by Danish explorer Peter Frutchen, who 152 00:08:37,920 --> 00:08:42,400 Speaker 1: lived eighteen eighty six through nineteen fifty seven, and uh 153 00:08:42,440 --> 00:08:46,120 Speaker 1: Fruction claimed to have used a similar tactic. His account 154 00:08:46,160 --> 00:08:48,920 Speaker 1: was that he dug a pit to sleep in this 155 00:08:48,960 --> 00:08:53,080 Speaker 1: is in the Arctic, and awoke to find himself snowed in. So, 156 00:08:53,280 --> 00:08:57,880 Speaker 1: remembering seeing frozen dog extreument that looked pretty solid, he 157 00:08:57,880 --> 00:09:00,679 Speaker 1: he got an idea. He decided to defecate in one hand, 158 00:09:01,480 --> 00:09:04,080 Speaker 1: shape it into a chisel and then wait for the 159 00:09:04,080 --> 00:09:07,000 Speaker 1: fecal matter to freeze hard enough then to use that 160 00:09:07,080 --> 00:09:10,800 Speaker 1: chisel to dig his way out. I don't I mean, 161 00:09:11,080 --> 00:09:14,160 Speaker 1: I don't know, but for some reason, my my skeptical 162 00:09:14,240 --> 00:09:17,520 Speaker 1: antennae or sort of perking up that something about this 163 00:09:17,559 --> 00:09:21,600 Speaker 1: story seems wrong, I too, am doubtful. I was doubtful 164 00:09:21,640 --> 00:09:26,760 Speaker 1: as well. So basically this is where the this is 165 00:09:26,760 --> 00:09:28,559 Speaker 1: where the experiment comes in. Because again, just because you 166 00:09:28,600 --> 00:09:31,480 Speaker 1: have these two cases, one is is more presented as 167 00:09:31,480 --> 00:09:34,440 Speaker 1: a legend and one also might be an exaggerated or 168 00:09:34,440 --> 00:09:37,120 Speaker 1: simply made up account. Uh, there's just no way of knowing. 169 00:09:37,160 --> 00:09:40,720 Speaker 1: It's not like in either case someone kept the poop 170 00:09:40,760 --> 00:09:43,800 Speaker 1: dagger and it was you know, presented, So that means 171 00:09:43,800 --> 00:09:46,040 Speaker 1: you've got to make your own poop a dagger. And 172 00:09:46,120 --> 00:09:49,400 Speaker 1: that's exactly what they did in this um uh, this 173 00:09:49,520 --> 00:09:52,400 Speaker 1: kid State University study. So first of all, I just 174 00:09:52,440 --> 00:09:55,080 Speaker 1: want to want to just let everybody know, no dogs 175 00:09:55,080 --> 00:09:57,679 Speaker 1: are cut up in this experiment. They use pig hide 176 00:09:57,760 --> 00:10:00,600 Speaker 1: muscles and tendons to stand in for dog fl but 177 00:10:00,720 --> 00:10:04,040 Speaker 1: the poop, well that's a little too essential to the experiment. 178 00:10:04,400 --> 00:10:07,560 Speaker 1: They had to use actual human fecal matter, but they 179 00:10:07,640 --> 00:10:10,080 Speaker 1: also needed to make sure it was fecal matter in 180 00:10:10,200 --> 00:10:12,400 Speaker 1: keeping with the diet of an Inuit living on the 181 00:10:12,440 --> 00:10:15,280 Speaker 1: ice in the nineteen fifties. Oh okay, So what would 182 00:10:15,320 --> 00:10:18,280 Speaker 1: this diet most likely consist of. Well, this is what 183 00:10:18,280 --> 00:10:20,120 Speaker 1: they say in the study quote, in order to procure 184 00:10:20,160 --> 00:10:23,760 Speaker 1: the necessary raw materials for knife production, one of us, 185 00:10:23,920 --> 00:10:26,319 Speaker 1: and then they include the in parenthesise m I E 186 00:10:26,920 --> 00:10:30,600 Speaker 1: for meat and I Aaron the again the Associate professor 187 00:10:30,640 --> 00:10:34,520 Speaker 1: of Anthropology and director of Archaeology, I can't state, went 188 00:10:34,600 --> 00:10:37,920 Speaker 1: on a diet with high protein and fatty acids, which 189 00:10:37,960 --> 00:10:40,920 Speaker 1: is consistent with an Arctic diet for eight days. The 190 00:10:40,960 --> 00:10:44,440 Speaker 1: Innuit do not only eat meat from maritime and terrestrial animals, 191 00:10:44,720 --> 00:10:47,400 Speaker 1: and there were three instances during the eight day diet 192 00:10:47,880 --> 00:10:51,960 Speaker 1: that M I E ate fruit, vegetables, or carbohydrates. Okay, 193 00:10:51,960 --> 00:10:55,360 Speaker 1: so this is a diet that is not exclusively meat based, 194 00:10:55,440 --> 00:10:59,160 Speaker 1: but is largely meat based, right, Yeah, more and more 195 00:10:59,200 --> 00:11:02,199 Speaker 1: beat based than and um than Aaron would usually UM 196 00:11:02,880 --> 00:11:05,840 Speaker 1: engage with. So on the fourth day he begins the 197 00:11:05,880 --> 00:11:10,800 Speaker 1: collection process and this continues for five days. The fecal 198 00:11:10,840 --> 00:11:14,320 Speaker 1: samples were formed into knives via ceramic molds, but they 199 00:11:14,320 --> 00:11:18,080 Speaker 1: were also molded by hand into quote hand shaped knives, 200 00:11:18,120 --> 00:11:21,320 Speaker 1: and all of these were stored in a freezer, hopefully 201 00:11:21,320 --> 00:11:25,400 Speaker 1: clearly marked who molded them by hand. I don't know 202 00:11:25,440 --> 00:11:28,160 Speaker 1: that the study was specific on that matter. I I'm 203 00:11:27,840 --> 00:11:30,840 Speaker 1: a I'm assuming that it's m I. E. Him self 204 00:11:30,840 --> 00:11:33,040 Speaker 1: that is doing most of the molding and the handling 205 00:11:33,200 --> 00:11:37,240 Speaker 1: of his own poop blades. Um maybe this is unreasonable 206 00:11:37,679 --> 00:11:40,640 Speaker 1: taboo enforcement. It seems like weird to make somebody else 207 00:11:40,720 --> 00:11:44,840 Speaker 1: handle your frozen feces. Yeah, yeah, I would agree, But 208 00:11:44,880 --> 00:11:46,160 Speaker 1: I don't know in the name of science, you know, 209 00:11:46,160 --> 00:11:51,040 Speaker 1: with with you know, appropriate scientific restraints in place, you know, 210 00:11:51,440 --> 00:11:54,160 Speaker 1: it might be okay. So when it came time to 211 00:11:54,200 --> 00:11:56,280 Speaker 1: put the knives to the test, they were taken out 212 00:11:56,280 --> 00:11:58,720 Speaker 1: of the freezer, they were sharpened once more, and then 213 00:11:58,760 --> 00:12:01,880 Speaker 1: they were turned to even older temperatures via dry ice 214 00:12:02,160 --> 00:12:04,880 Speaker 1: to ready them for the task. And and part of 215 00:12:04,880 --> 00:12:08,000 Speaker 1: this is really as um as the investigators went onto 216 00:12:08,120 --> 00:12:10,920 Speaker 1: to state like this was trying to create the best 217 00:12:11,000 --> 00:12:15,320 Speaker 1: possible conditions for this uh test to potentially work, Like 218 00:12:15,360 --> 00:12:17,160 Speaker 1: really to give just make sure everything was just as 219 00:12:17,160 --> 00:12:22,120 Speaker 1: frozen as possible. Um and uh. And so that they decided. 220 00:12:22,160 --> 00:12:24,560 Speaker 1: Then they put them to the test. They started with 221 00:12:24,600 --> 00:12:28,800 Speaker 1: the toughest challenge, however, and that's the hide, because they figured, well, 222 00:12:28,800 --> 00:12:31,160 Speaker 1: if the knives failed to cut through the hide, you 223 00:12:31,200 --> 00:12:33,240 Speaker 1: can basically go ahead and call it a day because 224 00:12:33,280 --> 00:12:37,040 Speaker 1: it doesn't matter. They can cut through fat, etcetera. Here's 225 00:12:37,040 --> 00:12:40,240 Speaker 1: what happened. Both varieties of fecal blade. That means, the 226 00:12:40,520 --> 00:12:42,320 Speaker 1: ones that were just put in the mold, the ones 227 00:12:42,360 --> 00:12:45,080 Speaker 1: that were formed by hand. Both of them failed to 228 00:12:45,120 --> 00:12:50,880 Speaker 1: cut the hide. Oh, your knife sucks. Now, I know 229 00:12:50,880 --> 00:12:53,920 Speaker 1: what you're thinking. Maybe they got the poop consistency wrong. Well, 230 00:12:54,200 --> 00:12:56,920 Speaker 1: they thought of that they had forged a blade from 231 00:12:57,000 --> 00:13:00,840 Speaker 1: Western diet poop, but that failed as well. They also 232 00:13:00,840 --> 00:13:03,120 Speaker 1: went ahead and tried the blades out on a layer 233 00:13:03,120 --> 00:13:06,760 Speaker 1: of fat underneath the hide, and quote, only the shallowest 234 00:13:06,800 --> 00:13:10,000 Speaker 1: of slices could be produced and the knife edge still 235 00:13:10,080 --> 00:13:14,080 Speaker 1: quickly melted and deteriorated. Yeah. I would imagine that this 236 00:13:14,120 --> 00:13:17,120 Speaker 1: would be a problem that uh, that it just melts 237 00:13:17,160 --> 00:13:19,440 Speaker 1: too fast to be effective at cutting. I mean, I 238 00:13:19,440 --> 00:13:22,000 Speaker 1: bet you probably could get a somewhat sharp edge on it, 239 00:13:22,040 --> 00:13:24,280 Speaker 1: but how would you hold the edge for very long, 240 00:13:24,320 --> 00:13:26,520 Speaker 1: because as soon as you start sewing into something, it's 241 00:13:26,520 --> 00:13:29,280 Speaker 1: probably just gonna get heated up by friction and then 242 00:13:29,280 --> 00:13:32,520 Speaker 1: melt away and be blunt. Yeah, because I mean, because 243 00:13:32,720 --> 00:13:34,840 Speaker 1: that's that's the one of the keys here is that 244 00:13:34,920 --> 00:13:37,480 Speaker 1: the legend is not a story of someone who stabbed 245 00:13:37,520 --> 00:13:40,240 Speaker 1: somebody in the eye with an icicle, you know. It's 246 00:13:40,280 --> 00:13:43,719 Speaker 1: the story of someone who butchers a dog and processes 247 00:13:43,760 --> 00:13:47,440 Speaker 1: its body to make raw materials. Now, the researcher stress 248 00:13:47,520 --> 00:13:50,760 Speaker 1: that by depending again on very cold materials instead of 249 00:13:50,880 --> 00:13:54,520 Speaker 1: fresh kills, uh, they gave the experiment the best chance 250 00:13:54,520 --> 00:13:57,520 Speaker 1: of success, but the blades still failed to match up 251 00:13:57,520 --> 00:14:00,520 Speaker 1: to the legend. Now that, they also drive home that 252 00:14:00,640 --> 00:14:04,400 Speaker 1: perhaps additional test with additional fecal matter samples would be 253 00:14:04,480 --> 00:14:07,520 Speaker 1: ideal if anyone else wants to continue this this great work. 254 00:14:08,040 --> 00:14:11,440 Speaker 1: But you know, I don't know, like what would be 255 00:14:11,480 --> 00:14:17,040 Speaker 1: the additional um, you know, dietary um uh formula for 256 00:14:17,120 --> 00:14:20,120 Speaker 1: fecal matter that would make a better poop knife. I 257 00:14:20,120 --> 00:14:22,480 Speaker 1: don't know. I mean, honestly, now that I'm thinking about it, 258 00:14:23,160 --> 00:14:25,000 Speaker 1: I don't even know if like you could make a 259 00:14:25,120 --> 00:14:28,800 Speaker 1: very good knife out of pike crete, right, because a 260 00:14:28,920 --> 00:14:33,320 Speaker 1: knife depends so much on having a very sharp blade 261 00:14:34,080 --> 00:14:37,040 Speaker 1: to work very effectively. And while pike crete is really 262 00:14:37,040 --> 00:14:41,600 Speaker 1: good at preventing cracks from propagating across the length of it, 263 00:14:42,040 --> 00:14:45,120 Speaker 1: and it's pretty good at melting more slowly than regular ice, 264 00:14:45,200 --> 00:14:48,320 Speaker 1: I still think the sharp edge of a pike crete 265 00:14:48,360 --> 00:14:51,560 Speaker 1: knife would probably melt pretty quickly, too quickly to be useful. 266 00:14:53,040 --> 00:14:54,560 Speaker 1: So it seems like you'd be better off if you 267 00:14:54,640 --> 00:15:02,880 Speaker 1: made a pike create or a frozen poop warhammer, right right, yeah, okay, Um. Now, 268 00:15:02,960 --> 00:15:08,560 Speaker 1: the in addition to you know, contemplations of regarding different diets, uh, 269 00:15:08,600 --> 00:15:11,320 Speaker 1: they also contemplate, you know, the idea that, okay, you 270 00:15:11,360 --> 00:15:15,040 Speaker 1: have this saliva aspect of the original legend, right, that 271 00:15:15,160 --> 00:15:18,280 Speaker 1: he sprays saliva onto the poop knife and then forges it. 272 00:15:18,520 --> 00:15:20,920 Speaker 1: But they're doubtful that that would really make a difference either. 273 00:15:21,000 --> 00:15:23,200 Speaker 1: They point to the work of McCall and Telton from 274 00:15:23,200 --> 00:15:25,720 Speaker 1: two thousand ten, who looked into the idea of whether 275 00:15:26,040 --> 00:15:29,360 Speaker 1: humans and cold regions used flaked and chipped ice for 276 00:15:29,440 --> 00:15:32,880 Speaker 1: butchery tools, and they too found that melting occurred with 277 00:15:32,920 --> 00:15:35,560 Speaker 1: these when these objects came into contact with warm bodies, 278 00:15:35,800 --> 00:15:39,600 Speaker 1: and that they also melted during use. So um, you 279 00:15:39,640 --> 00:15:42,000 Speaker 1: know again you're coming down to I think in a 280 00:15:42,040 --> 00:15:44,200 Speaker 1: case where if you're talking about creating something out of 281 00:15:44,240 --> 00:15:47,000 Speaker 1: out of ice or frozen poop and you're attempting to 282 00:15:47,160 --> 00:15:51,520 Speaker 1: use it as a butchery tool, um, you're just asking 283 00:15:51,560 --> 00:15:57,400 Speaker 1: too much of the material For frozen material. The effectiveness 284 00:15:57,400 --> 00:16:01,200 Speaker 1: of a knife blade depends on it being very thin. Basically, 285 00:16:01,240 --> 00:16:05,160 Speaker 1: the extent to which it's effective is based on its thinness, 286 00:16:05,280 --> 00:16:09,200 Speaker 1: and being thin would make any frozen material likely to 287 00:16:09,240 --> 00:16:13,000 Speaker 1: melt because you know, it's harder to maintain the cold temperatures. 288 00:16:13,000 --> 00:16:16,080 Speaker 1: It's just gonna acquire heat from the environment from friction 289 00:16:16,120 --> 00:16:20,320 Speaker 1: too fast. Now you might ask yourself, okay, but seriously, 290 00:16:20,360 --> 00:16:23,600 Speaker 1: why was this necessary research? I think they have a 291 00:16:23,720 --> 00:16:27,000 Speaker 1: nice uh summary of this in the paper itself. I 292 00:16:27,000 --> 00:16:30,520 Speaker 1: just want to read this quote. Societal narratives and policies 293 00:16:30,560 --> 00:16:35,160 Speaker 1: are often constructed from anthropological and scientific claims. While the 294 00:16:35,280 --> 00:16:39,240 Speaker 1: narrative that indigenous and prehistoric people are technologically resourceful and 295 00:16:39,280 --> 00:16:43,280 Speaker 1: innovative is widely supported, these narratives suffer when an untested 296 00:16:43,280 --> 00:16:46,360 Speaker 1: claim is used to support it. If one untested claim 297 00:16:46,440 --> 00:16:48,640 Speaker 1: is used to support a stance, even if that stance 298 00:16:48,720 --> 00:16:51,680 Speaker 1: is otherwise supported, ethical, or just, then there is no 299 00:16:51,760 --> 00:16:55,040 Speaker 1: logical reason why a second untested claim cannot be invoked. 300 00:16:55,360 --> 00:16:58,160 Speaker 1: The use of untested claims then becomes the norm and 301 00:16:58,200 --> 00:17:00,920 Speaker 1: can be used to support stances that are beneficial to 302 00:17:01,040 --> 00:17:04,600 Speaker 1: society as well as those that are harmful. Anthropologists must 303 00:17:04,600 --> 00:17:08,320 Speaker 1: actively seek out unsupported claims, assumptions, rumors, and urban legends, 304 00:17:08,320 --> 00:17:11,520 Speaker 1: and by testing them, ensure any narratives that follow are 305 00:17:11,560 --> 00:17:14,720 Speaker 1: as sturdy as possible. Right, So, there are enough true 306 00:17:14,760 --> 00:17:18,639 Speaker 1: stories about resourcefulness and ingenuity among the Inuit people's that 307 00:17:18,680 --> 00:17:23,400 Speaker 1: you don't need like physically impossible stories gunking up the works, right, 308 00:17:23,760 --> 00:17:25,760 Speaker 1: And by investigating a story like this, you can you 309 00:17:25,800 --> 00:17:28,640 Speaker 1: can make that that decision. Okay, looks like we file 310 00:17:28,720 --> 00:17:31,600 Speaker 1: this more under legend and mythology as opposed to a 311 00:17:31,760 --> 00:17:35,159 Speaker 1: true tale of survival. Right, So that's the poop knife. 312 00:17:35,680 --> 00:17:37,960 Speaker 1: I thought that one was really entertaining, and again it 313 00:17:38,200 --> 00:17:40,320 Speaker 1: does feel kind of fitting for but also it's just 314 00:17:40,400 --> 00:17:43,359 Speaker 1: a really cool story. Uh. And and I do encourage 315 00:17:43,359 --> 00:17:46,760 Speaker 1: anyone out there who has a dungeon master or or 316 00:17:46,880 --> 00:17:50,040 Speaker 1: a Dungeons and Dragons player keep this story in mind. 317 00:17:50,119 --> 00:17:52,320 Speaker 1: I think this one will prove useful, especially if you're 318 00:17:52,320 --> 00:17:55,560 Speaker 1: adventuring and somewhere like ice wind Dale or something. Um 319 00:17:56,119 --> 00:17:58,960 Speaker 1: you know, usually try and use the poop knife. Maybe 320 00:17:58,960 --> 00:18:02,560 Speaker 1: your dungeon master has heard this episode or has read 321 00:18:02,600 --> 00:18:05,359 Speaker 1: this study follows the Ignoble Prizes, and they'll shoot you down. 322 00:18:05,800 --> 00:18:08,640 Speaker 1: But you know, dungeons and dragons is a legendary environment, 323 00:18:08,680 --> 00:18:10,720 Speaker 1: so maybe you'll get away with it. You have acquired 324 00:18:10,800 --> 00:18:15,840 Speaker 1: the blade of Latrinius. Alright, on that note, we're gonna 325 00:18:15,840 --> 00:18:17,600 Speaker 1: take a quick break, but when we come back, we'll 326 00:18:17,600 --> 00:18:25,280 Speaker 1: discuss another selection from the Ignoble Prizes. Thank alright, we're back. 327 00:18:25,320 --> 00:18:27,920 Speaker 1: What have you got for us, Joe? Okay, it's time 328 00:18:27,960 --> 00:18:31,840 Speaker 1: to talk about professional entomologists who are afraid of spiders. 329 00:18:33,280 --> 00:18:37,199 Speaker 1: So this winning article, this was from the Entomology Prize. 330 00:18:37,200 --> 00:18:41,840 Speaker 1: It's by Richard S. Vetter, called arachnophobic entomologists when two 331 00:18:41,840 --> 00:18:45,600 Speaker 1: more legs makes a Big difference, published an American Entomologist 332 00:18:45,640 --> 00:18:50,200 Speaker 1: in Now. The author of the study, Richard Vetter, is 333 00:18:50,240 --> 00:18:53,359 Speaker 1: now retired, but during his career he was an entomology 334 00:18:53,440 --> 00:18:57,680 Speaker 1: research associate at UC Riverside and a quick look around 335 00:18:57,720 --> 00:19:00,760 Speaker 1: the internet at photos of this guy and interviews with 336 00:19:00,880 --> 00:19:04,159 Speaker 1: him suggests that he has some kind of arachnophiliac. He 337 00:19:04,280 --> 00:19:06,760 Speaker 1: clearly loves spider as I found a picture of him 338 00:19:06,760 --> 00:19:09,480 Speaker 1: with a spider crawling on his eye and he's got 339 00:19:09,480 --> 00:19:12,600 Speaker 1: this big smile on his face. I generally thought this 340 00:19:12,680 --> 00:19:14,520 Speaker 1: was a picture of Dennis Hopper when I first saw it. 341 00:19:14,560 --> 00:19:18,800 Speaker 1: I thought it's like a younger Dennis Hopper. Yeah, he's 342 00:19:18,840 --> 00:19:23,760 Speaker 1: a warrior poet in the classic sense. So this paper 343 00:19:24,080 --> 00:19:28,679 Speaker 1: is about arachnophobia, the fear, sometimes irrational fear of spiders, 344 00:19:28,720 --> 00:19:32,000 Speaker 1: which is very common phobia. And I've read a couple 345 00:19:32,040 --> 00:19:34,960 Speaker 1: of articles featuring interviews with the vetter and he sort 346 00:19:35,000 --> 00:19:39,320 Speaker 1: of tells some personal stories that got him thinking about 347 00:19:39,359 --> 00:19:42,800 Speaker 1: the subject of arachnophobia among entomologists. So a few of 348 00:19:42,840 --> 00:19:45,199 Speaker 1: these stories. For one thing, he tells a story of 349 00:19:45,240 --> 00:19:48,879 Speaker 1: one time sitting down at a lunch table with colleagues 350 00:19:49,000 --> 00:19:52,720 Speaker 1: and producing a brown recluse spider that was sealed in 351 00:19:52,760 --> 00:19:55,960 Speaker 1: a plastic bag, and he says one of his colleagues, 352 00:19:56,000 --> 00:20:00,800 Speaker 1: an aquatic entomologist, absolutely quote vaporized, just gone from the 353 00:20:00,880 --> 00:20:03,760 Speaker 1: room all the way down the hall in five seconds. 354 00:20:04,520 --> 00:20:06,600 Speaker 1: And then he says another time he was with an 355 00:20:06,680 --> 00:20:09,640 Speaker 1: entomologist colleague, and he opened the lid on a specimen 356 00:20:09,720 --> 00:20:11,879 Speaker 1: jar that had a black widow in it, and he 357 00:20:11,920 --> 00:20:15,879 Speaker 1: said that this guy in the room literally jumped backwards quote, 358 00:20:15,920 --> 00:20:20,040 Speaker 1: like the spider was going to decapitate him. Now, this 359 00:20:20,119 --> 00:20:22,040 Speaker 1: is kind of surprising to me because you would sort 360 00:20:22,080 --> 00:20:25,919 Speaker 1: of expect that entomologists would be pretty much immune to 361 00:20:26,200 --> 00:20:30,760 Speaker 1: irrational spider fear. Uh. Now, quick note on the terminology. 362 00:20:30,920 --> 00:20:35,439 Speaker 1: Entomologists are a specialized branch of zoologists. They study insects. 363 00:20:36,040 --> 00:20:39,520 Speaker 1: The researchers who specialize in arachnids like spider's ticks and 364 00:20:39,600 --> 00:20:44,160 Speaker 1: mites are called arachnologists. But I think there's clearly some crossover, 365 00:20:44,320 --> 00:20:47,760 Speaker 1: Like it looks like Vetter was technically an entomologist by 366 00:20:47,800 --> 00:20:50,959 Speaker 1: title at his institution, but his passion seemed to be 367 00:20:50,960 --> 00:20:53,560 Speaker 1: with spiders. And uh, I think you just kind of 368 00:20:53,560 --> 00:20:57,600 Speaker 1: assumed that attitudes about insects and attitudes about spiders, since 369 00:20:57,640 --> 00:21:02,240 Speaker 1: they're both small arthropods, would be pretty correlated, right. Yeah, 370 00:21:02,320 --> 00:21:03,960 Speaker 1: I mean, I guess I have two minds on this because, 371 00:21:04,000 --> 00:21:05,960 Speaker 1: on one hand, yeah, it just seems like if you're 372 00:21:06,000 --> 00:21:09,800 Speaker 1: cool with devoting your life to to one variety of 373 00:21:09,800 --> 00:21:12,440 Speaker 1: creepy crawley. Then you're good with all creepy crawleys. But 374 00:21:12,480 --> 00:21:14,760 Speaker 1: then I think to my on my own self, and 375 00:21:14,800 --> 00:21:16,800 Speaker 1: I'm like, well, you know, I'll get down and look 376 00:21:16,840 --> 00:21:19,640 Speaker 1: at something like, you know, a centipede or even a spider, 377 00:21:20,040 --> 00:21:22,320 Speaker 1: but I'm a little wigged out by something like a 378 00:21:22,359 --> 00:21:26,440 Speaker 1: palmetta bug or a roach, you know. So, yeah, this 379 00:21:26,520 --> 00:21:29,280 Speaker 1: is interesting. There's somebody who I think is the inverted 380 00:21:29,400 --> 00:21:32,879 Speaker 1: version of you in this study. Oh really yeah, so 381 00:21:32,920 --> 00:21:35,360 Speaker 1: we'll get to that in just a minute. But anyway, 382 00:21:35,440 --> 00:21:37,360 Speaker 1: I can think of at least a couple of reasons, 383 00:21:37,440 --> 00:21:40,399 Speaker 1: at least for me, why why I wouldn't really expect 384 00:21:40,600 --> 00:21:44,720 Speaker 1: entomologists who have powerful, irrational fears of spiders. One is 385 00:21:44,840 --> 00:21:47,879 Speaker 1: self selection in the profession, right, Like, how many people 386 00:21:48,359 --> 00:21:52,479 Speaker 1: with an existing overwhelming fear of tiny arthropods would go 387 00:21:52,600 --> 00:21:55,919 Speaker 1: into a research field where you handle tiny arthropods all 388 00:21:55,960 --> 00:21:58,480 Speaker 1: the time. And then the other thing I would just 389 00:21:58,520 --> 00:22:01,120 Speaker 1: think of would be conditioning. Even if you start off 390 00:22:01,200 --> 00:22:05,440 Speaker 1: kind of afraid of spiders, wouldn't constantly working with insects 391 00:22:05,480 --> 00:22:08,119 Speaker 1: and various types of small arthur pods just sort of 392 00:22:08,160 --> 00:22:10,600 Speaker 1: blunt that fear over time. Yeah, it's kind of hard 393 00:22:10,600 --> 00:22:14,200 Speaker 1: to imagine like a Dickensian tale where uh this, uh this, 394 00:22:14,200 --> 00:22:17,240 Speaker 1: this kid enters entomology, but he's just following in the 395 00:22:17,320 --> 00:22:21,480 Speaker 1: in his father's footsteps. It's just the family business of 396 00:22:21,640 --> 00:22:24,560 Speaker 1: studying insects, right in a weird way. That almost does 397 00:22:24,600 --> 00:22:29,200 Speaker 1: seem like a Dickensian kind of comic character, like entomologists 398 00:22:29,200 --> 00:22:33,000 Speaker 1: who's terrified of of insects or something. But anyway, there 399 00:22:33,080 --> 00:22:36,560 Speaker 1: is a different Spiders are not exactly insects, So uh so, 400 00:22:36,680 --> 00:22:40,040 Speaker 1: let's let's pursue this a little farther. So Vetter, based 401 00:22:40,040 --> 00:22:43,760 Speaker 1: on these anecdotes from his colleagues, he decided to conduct 402 00:22:43,800 --> 00:22:47,960 Speaker 1: a survey that was open to professional entomologists, and he 403 00:22:48,080 --> 00:22:53,960 Speaker 1: solicited responses from self declared a rack no adverse researchers 404 00:22:54,440 --> 00:22:58,440 Speaker 1: from the readership of the journal American Entomologists. So it's 405 00:22:58,520 --> 00:23:00,520 Speaker 1: very worth noting that this is not like a huge 406 00:23:00,680 --> 00:23:04,199 Speaker 1: random sample of the field. This is self selected. This 407 00:23:04,280 --> 00:23:07,160 Speaker 1: is a self selected sample of researchers who were like, yes, 408 00:23:07,320 --> 00:23:09,760 Speaker 1: you know, I raised my hand, I'm afraid of spiders. 409 00:23:10,280 --> 00:23:11,879 Speaker 1: So important to keep that in mind. This is not 410 00:23:12,080 --> 00:23:15,119 Speaker 1: going to be like indicative of the field as a whole, 411 00:23:15,240 --> 00:23:17,560 Speaker 1: but at least, it's showing you what some people in 412 00:23:17,600 --> 00:23:20,960 Speaker 1: the field are thinking. And this survey included a standardized 413 00:23:21,000 --> 00:23:24,280 Speaker 1: psychology test known as the Fear of Spider's Questionnaire or 414 00:23:24,400 --> 00:23:27,480 Speaker 1: f s Q, as well as qualitative reports where people 415 00:23:27,520 --> 00:23:31,119 Speaker 1: could explain their experiences in plain language, and the top 416 00:23:31,160 --> 00:23:34,400 Speaker 1: line result of the survey was like, Yeah, there are 417 00:23:34,400 --> 00:23:40,040 Speaker 1: some professional entomologists who are terrified of spiders. Uh So, first, 418 00:23:40,240 --> 00:23:42,800 Speaker 1: I just want to talk about a few general findings 419 00:23:42,840 --> 00:23:46,440 Speaker 1: from the existing literature on irachnophobia, and this is something 420 00:23:46,480 --> 00:23:50,800 Speaker 1: that Vetter summarizes later in his paper. So one of 421 00:23:50,880 --> 00:23:54,800 Speaker 1: the things is that arachnophobia, usually in in the general public, 422 00:23:54,880 --> 00:23:59,080 Speaker 1: starts in childhood, though it's at sometimes different stages depending 423 00:23:59,080 --> 00:24:03,080 Speaker 1: on who you ask. If you ask parents about their children, 424 00:24:03,600 --> 00:24:06,640 Speaker 1: it seems to start in girls at an average age 425 00:24:06,720 --> 00:24:10,600 Speaker 1: of four point seven. And this research was specifically in girls. 426 00:24:10,640 --> 00:24:12,119 Speaker 1: I don't know if it would be different or the 427 00:24:12,160 --> 00:24:16,880 Speaker 1: same with boys, but if but however, if so, parents 428 00:24:16,880 --> 00:24:19,200 Speaker 1: say it starts at four point seven. If you ask 429 00:24:19,320 --> 00:24:23,879 Speaker 1: adult women about their own arachnophobia when that started, they 430 00:24:23,920 --> 00:24:27,040 Speaker 1: tend to give an average age of nine point four years, 431 00:24:27,119 --> 00:24:29,639 Speaker 1: but with a pretty big margin of error. So if 432 00:24:29,680 --> 00:24:31,960 Speaker 1: those numbers are at least somewhat accurate, that's kind of 433 00:24:31,960 --> 00:24:34,919 Speaker 1: interesting because it might mean that people display fear of 434 00:24:35,000 --> 00:24:38,439 Speaker 1: spiders that like can be observed by others, that parents 435 00:24:38,520 --> 00:24:43,440 Speaker 1: can observe before they themselves recall being aware of the phobia. 436 00:24:44,400 --> 00:24:48,400 Speaker 1: Though qualitatively, many arachnophobes cannot recall an age when their 437 00:24:48,440 --> 00:24:50,879 Speaker 1: fear began. A lot of them just say I've always 438 00:24:50,880 --> 00:24:53,280 Speaker 1: been afraid of spiders as long as I can remember. 439 00:24:53,359 --> 00:24:56,199 Speaker 1: You know, there wasn't an inciting incident, though for a 440 00:24:56,200 --> 00:24:58,320 Speaker 1: few For a few cases in this survey, there was 441 00:24:58,359 --> 00:25:03,000 Speaker 1: a reported conditioning of end. On average, women are more 442 00:25:03,040 --> 00:25:06,760 Speaker 1: likely than men to report aracnophobia, and the intensity of 443 00:25:06,800 --> 00:25:10,679 Speaker 1: arachnophobia tends to be higher in younger people than in 444 00:25:10,760 --> 00:25:14,000 Speaker 1: older people. I thought that was kind of interesting. Spider 445 00:25:14,080 --> 00:25:17,880 Speaker 1: fear is higher in people whose parents also had spider fear, 446 00:25:18,040 --> 00:25:22,720 Speaker 1: and it's especially correlated between mothers and daughters. And many 447 00:25:22,760 --> 00:25:27,560 Speaker 1: arachnophobes rate high on measures of disgust sensitivity, which is 448 00:25:27,600 --> 00:25:31,679 Speaker 1: an interesting psychometric category. It's basically like how easily you 449 00:25:31,760 --> 00:25:35,280 Speaker 1: get grossed out by various kinds of things, and that 450 00:25:35,280 --> 00:25:38,840 Speaker 1: that trait is seems to be interestingly correlated to all 451 00:25:38,920 --> 00:25:42,000 Speaker 1: kinds of other stuff, you know, even like political psychology 452 00:25:42,040 --> 00:25:44,920 Speaker 1: and stuff. Now, there's a lot of interesting speculation as 453 00:25:44,920 --> 00:25:48,200 Speaker 1: to why spiders trigger fear reactions and so many people, 454 00:25:48,280 --> 00:25:51,760 Speaker 1: when in reality spiders don't usually represent much of a 455 00:25:51,800 --> 00:25:55,200 Speaker 1: threat to survival. There are relatively minor threat as far 456 00:25:55,240 --> 00:25:58,440 Speaker 1: as animals in the environment go. UM. We've talked about 457 00:25:58,440 --> 00:26:02,920 Speaker 1: some of these speculations about causes for acnophobia before UM. 458 00:26:02,960 --> 00:26:06,600 Speaker 1: But interestingly, some research has tried to understand not just 459 00:26:06,680 --> 00:26:12,240 Speaker 1: a ragnophobia itself, but which particular features of spiders trigger 460 00:26:12,320 --> 00:26:16,040 Speaker 1: it the most, because they're different spiders with different characteristics 461 00:26:16,080 --> 00:26:20,000 Speaker 1: physical and behavioral, So like what kinds of spiders are 462 00:26:20,040 --> 00:26:24,440 Speaker 1: the worst and which features of spiders bother people the most. Uh, 463 00:26:24,440 --> 00:26:27,560 Speaker 1: And studies have found that the things people really don't 464 00:26:27,560 --> 00:26:31,680 Speaker 1: like about spiders when they don't like them is unpredictability, 465 00:26:31,720 --> 00:26:35,520 Speaker 1: So there's this perceived lack of control over spiders. H. 466 00:26:35,600 --> 00:26:39,880 Speaker 1: People really don't like the fast, jerky movements and their 467 00:26:39,880 --> 00:26:44,560 Speaker 1: ability to suddenly appear in places where they weren't seen before. UH. 468 00:26:44,600 --> 00:26:48,240 Speaker 1: There was one entomologist actually in this study that Vetter did, 469 00:26:48,720 --> 00:26:51,119 Speaker 1: who said that they would rather quote scoop up a 470 00:26:51,200 --> 00:26:55,639 Speaker 1: handful of maggots with an ungloved hand than get close 471 00:26:55,760 --> 00:26:58,639 Speaker 1: enough to a spider to kill it. And now you 472 00:26:58,720 --> 00:27:02,040 Speaker 1: might wonder why they're, Well, they give a rationale. Actually, 473 00:27:02,080 --> 00:27:05,359 Speaker 1: this respondent said, maggots don't sneak up on you and 474 00:27:05,440 --> 00:27:08,440 Speaker 1: jump in your hair. Now, I would say probably spiders 475 00:27:08,480 --> 00:27:12,000 Speaker 1: don't usually do that either. But I guess the thing 476 00:27:12,080 --> 00:27:14,320 Speaker 1: that causes the fear here is that they, at least 477 00:27:14,320 --> 00:27:17,560 Speaker 1: in theory, could Yeah. I mean, you're you're generally going 478 00:27:17,640 --> 00:27:20,760 Speaker 1: to encounter maggots in in exactly one type of place. 479 00:27:21,400 --> 00:27:24,639 Speaker 1: Um where Yeah, if you're more you're more likely to 480 00:27:24,760 --> 00:27:28,160 Speaker 1: encounter spiders at various parts points in your house. Uh, 481 00:27:28,200 --> 00:27:31,440 Speaker 1: they're they're they're more likely to be on the move. Maggots, 482 00:27:31,440 --> 00:27:33,480 Speaker 1: they're not going to be on the move, that's right. 483 00:27:33,640 --> 00:27:37,200 Speaker 1: And and the last things about spiders that people disliked 484 00:27:37,240 --> 00:27:40,520 Speaker 1: the most were physical features, including the number of legs. 485 00:27:40,680 --> 00:27:42,760 Speaker 1: For some reason, people don't like the number of legs. 486 00:27:43,080 --> 00:27:45,800 Speaker 1: They don't like they don't like hair nous, and they 487 00:27:45,800 --> 00:27:49,640 Speaker 1: don't like having fangs or being able to bite. Uh. 488 00:27:49,680 --> 00:27:52,880 Speaker 1: And then furthermore, Robbi just included for you to look 489 00:27:52,920 --> 00:27:58,719 Speaker 1: at here a chart of within Vetters survey. He charted 490 00:27:58,760 --> 00:28:02,960 Speaker 1: respondents scores of likability for a variety of different animals. 491 00:28:03,000 --> 00:28:06,440 Speaker 1: It looks like just a few dozen random animals, including 492 00:28:06,480 --> 00:28:12,800 Speaker 1: like butterfly, horse, snake, mouse, earwig, mosquito, spider, and you 493 00:28:12,840 --> 00:28:16,119 Speaker 1: can you can really see that the worst thing, even 494 00:28:16,160 --> 00:28:18,320 Speaker 1: worse than a spider, and I think I would agree, 495 00:28:18,640 --> 00:28:21,600 Speaker 1: is a tick. Oh yeah, I were very much on 496 00:28:21,920 --> 00:28:24,440 Speaker 1: the same page there as far as ticks go. Um, 497 00:28:24,520 --> 00:28:27,119 Speaker 1: far worse than a spider. Uh, Like the tick is 498 00:28:27,160 --> 00:28:32,159 Speaker 1: actively seeking you out, trying to to attach to your body, 499 00:28:32,760 --> 00:28:36,600 Speaker 1: drink your blood, and potentially share some pathogens with you 500 00:28:36,640 --> 00:28:39,320 Speaker 1: at the same time. Um, you know, moments like the 501 00:28:39,320 --> 00:28:44,440 Speaker 1: mosquito that that ranks beneath the spider. But yeah, it's 502 00:28:44,440 --> 00:28:46,480 Speaker 1: an interesting chart to look at because you think see 503 00:28:46,520 --> 00:28:49,080 Speaker 1: things in there that I, you know, certainly would expect 504 00:28:49,160 --> 00:28:53,520 Speaker 1: to see, like the cockroach for example, Um, the slug. 505 00:28:53,640 --> 00:28:56,720 Speaker 1: I guess you know. I I've made my piece with slugs, 506 00:28:56,720 --> 00:28:59,600 Speaker 1: but I used to find them more repellent. Um. But 507 00:28:59,640 --> 00:29:02,240 Speaker 1: then eels, like people really grossed out by eels. I 508 00:29:02,280 --> 00:29:04,120 Speaker 1: guess they're kind of weird looking. Well, I mean, this 509 00:29:04,200 --> 00:29:07,000 Speaker 1: is a small survey of people who self selected as 510 00:29:07,040 --> 00:29:10,560 Speaker 1: saying they were afraid of spiders or disliked spiders. So 511 00:29:10,760 --> 00:29:13,959 Speaker 1: why is the squirrel so high on the list? Like, 512 00:29:14,000 --> 00:29:18,520 Speaker 1: the squirrel is rated um worse than a bear, worse 513 00:29:18,520 --> 00:29:21,240 Speaker 1: than a or let's say, or is that worse than 514 00:29:21,280 --> 00:29:24,760 Speaker 1: a um, worse worse than an earthworm? I mean, more 515 00:29:25,800 --> 00:29:28,480 Speaker 1: disliked than a bear. But once you get into all 516 00:29:28,520 --> 00:29:31,200 Speaker 1: of the like mammals down here, except for the rat, 517 00:29:31,640 --> 00:29:34,520 Speaker 1: they're all on the positive side of the scale. So 518 00:29:34,680 --> 00:29:36,880 Speaker 1: like the halfway point of the scale, the only things 519 00:29:36,880 --> 00:29:43,560 Speaker 1: that on average were hated more than half were maggots, scorpions, rats, mosquitoes, spiders, 520 00:29:43,560 --> 00:29:46,960 Speaker 1: and ticks. But one thing you all say about hating 521 00:29:47,000 --> 00:29:50,520 Speaker 1: ticks is that I think that's an important case where 522 00:29:50,560 --> 00:29:54,160 Speaker 1: like your gut level discussed also lines up with your 523 00:29:54,240 --> 00:29:57,400 Speaker 1: rational knowledge, because I bet a lot of these entomologists 524 00:29:57,960 --> 00:30:01,240 Speaker 1: hate spiders, but they know it wrong to hate spiders. 525 00:30:01,280 --> 00:30:03,720 Speaker 1: They're like, you know, I can't argue with my gut feelings, 526 00:30:03,760 --> 00:30:06,040 Speaker 1: but I just know that I shouldn't hate spiders. They're 527 00:30:06,040 --> 00:30:08,840 Speaker 1: not actually bad with ticks. I mean, the heart in 528 00:30:08,880 --> 00:30:10,800 Speaker 1: the head are in the same place, right, There are 529 00:30:10,880 --> 00:30:14,920 Speaker 1: just a lot of legitimate, um scientifically proven reasons to 530 00:30:14,920 --> 00:30:17,480 Speaker 1: to not be crazy about ticks. But anyway, so to 531 00:30:17,520 --> 00:30:20,920 Speaker 1: get into the results of vetter study, how do these 532 00:30:20,960 --> 00:30:26,120 Speaker 1: self reported araq no adverse entomologists UH differ from the 533 00:30:26,200 --> 00:30:29,280 Speaker 1: general public in terms of spider fear? Well, actually, there 534 00:30:29,280 --> 00:30:31,680 Speaker 1: are a lot of similarities. So he found that for 535 00:30:31,840 --> 00:30:35,360 Speaker 1: the general public and for these arachno adverse entomologists, the 536 00:30:35,360 --> 00:30:40,320 Speaker 1: arachnophobia begins in childhood, generally before respondents have even considered 537 00:30:40,440 --> 00:30:43,320 Speaker 1: entomology as a career path, So these people are not 538 00:30:43,360 --> 00:30:47,719 Speaker 1: like acquiring spider fear in adulthood. UH. Vetter says that 539 00:30:47,760 --> 00:30:51,280 Speaker 1: the fear of spider's questionnaire scores between the genders were 540 00:30:51,320 --> 00:30:55,160 Speaker 1: not statistically significantly different. UH didn't seem to be a 541 00:30:55,200 --> 00:31:00,000 Speaker 1: major gender difference among the entomologists. Araq noo adverse entomologists 542 00:31:00,040 --> 00:31:04,000 Speaker 1: seem to dislike spiders for most of the same reasons 543 00:31:04,040 --> 00:31:07,360 Speaker 1: as general arachnophobes do. That don't like the hair, nous, 544 00:31:07,480 --> 00:31:10,200 Speaker 1: the fangs, the number of legs still on the number 545 00:31:10,240 --> 00:31:16,440 Speaker 1: of legs eight is bad, unpredictability, and fast sudden movements, 546 00:31:16,480 --> 00:31:20,200 Speaker 1: but also interestingly better believed that there is a lower 547 00:31:20,240 --> 00:31:25,920 Speaker 1: prevalence of disgust reactions to spiders among entomologists. Uh, the 548 00:31:26,040 --> 00:31:28,959 Speaker 1: entomologists who don't like spiders are afraid, but they're not 549 00:31:29,120 --> 00:31:32,560 Speaker 1: as gross stout as the general public. And then to 550 00:31:32,600 --> 00:31:35,680 Speaker 1: read a couple of his final observations quote. One difference 551 00:31:35,680 --> 00:31:38,880 Speaker 1: from general arachnophobes that may have been present but not 552 00:31:38,960 --> 00:31:43,200 Speaker 1: specifically documented in the classic literature is that several entomologists 553 00:31:43,240 --> 00:31:47,560 Speaker 1: mentioned being tormented by family members who capitalized on the 554 00:31:47,600 --> 00:31:51,320 Speaker 1: respondents fear of spiders. That's that's not nice. Don't don't 555 00:31:51,360 --> 00:31:55,960 Speaker 1: torment your family members with spiders. Um. Another is uh quote. 556 00:31:55,960 --> 00:31:59,640 Speaker 1: Another difference is that arachnophobes in the general public assign 557 00:32:00,080 --> 00:32:07,080 Speaker 1: thropomorphic cognitive behaviors to spiders, such as vengefulness or purposeful surveillance, 558 00:32:07,480 --> 00:32:10,560 Speaker 1: Whereas the general impression I received from the iraqno adverse 559 00:32:10,680 --> 00:32:15,400 Speaker 1: entomologists was that they realized their fears or dislikes were paradoxical, 560 00:32:15,760 --> 00:32:18,960 Speaker 1: even though they could not explain the reasoning behind them. 561 00:32:19,000 --> 00:32:20,720 Speaker 1: And this gets this gets to the you know, the 562 00:32:21,040 --> 00:32:24,400 Speaker 1: the non rational aspect of phobia. I imagine here, you 563 00:32:24,440 --> 00:32:26,880 Speaker 1: know that the idea that it's on one hand, you 564 00:32:26,920 --> 00:32:30,280 Speaker 1: can you can rationally discuss why you shouldn't feel this 565 00:32:30,320 --> 00:32:33,520 Speaker 1: way and yet still have these feelings. Yeah, totally. And 566 00:32:33,560 --> 00:32:35,520 Speaker 1: now there was one last thing that I noticed, or 567 00:32:35,600 --> 00:32:37,960 Speaker 1: I at least thought was interesting. Vetter did not draw 568 00:32:38,000 --> 00:32:40,200 Speaker 1: attention to this himself, but it stuck out to me. 569 00:32:41,200 --> 00:32:45,360 Speaker 1: Some of these iraq noo adverse entomologists seemed to display 570 00:32:45,400 --> 00:32:49,200 Speaker 1: what I would guess is an unusually high level of 571 00:32:49,240 --> 00:32:53,800 Speaker 1: affinity for certain insects. For example, one reported having owned 572 00:32:53,840 --> 00:32:56,960 Speaker 1: a Madagascar hissing cockroach as a pet when they were 573 00:32:56,960 --> 00:33:00,320 Speaker 1: a child, which is probably not normal for many kids, 574 00:33:00,360 --> 00:33:02,760 Speaker 1: but you can kind of see how a kid who 575 00:33:02,840 --> 00:33:04,680 Speaker 1: has a cockroach as a pet might want to grow 576 00:33:04,760 --> 00:33:08,920 Speaker 1: up to become an entomologist. And other ones rated animals 577 00:33:08,920 --> 00:33:13,360 Speaker 1: like cockroaches and maggots among their most liked animals in 578 00:33:13,400 --> 00:33:16,400 Speaker 1: that big list of animals we were just talking about, uh, 579 00:33:16,400 --> 00:33:19,680 Speaker 1: And in the averages from all the respondents, the top 580 00:33:19,840 --> 00:33:23,840 Speaker 1: three most liked animals of the entire list, even out 581 00:33:23,840 --> 00:33:29,800 Speaker 1: performing dogs, horses, porpoises, and other commonly charismatic animals. Uh. 582 00:33:29,880 --> 00:33:34,880 Speaker 1: The top three were all insects, butterflies, dragonflies, and ladybugs. 583 00:33:34,920 --> 00:33:38,720 Speaker 1: The entomologists in this survey hated spiders but love those 584 00:33:38,760 --> 00:33:41,640 Speaker 1: three insects. So could it be that some of these 585 00:33:41,720 --> 00:33:46,560 Speaker 1: entomologists are also influenced to dislike or be afraid of 586 00:33:46,600 --> 00:33:50,120 Speaker 1: spiders because they're so fond of the spider's prey animals. 587 00:33:50,200 --> 00:33:55,160 Speaker 1: I wonder that is interesting, um, because when you watch 588 00:33:55,440 --> 00:33:58,280 Speaker 1: a spider do its thing that is, how do you 589 00:33:58,280 --> 00:34:02,040 Speaker 1: emotionally respond to that? Because I think I may have 590 00:34:02,040 --> 00:34:04,320 Speaker 1: showed this something the show already, But a few weeks back, 591 00:34:04,360 --> 00:34:06,680 Speaker 1: maybe like a month back, Uh, there was this enormous 592 00:34:06,680 --> 00:34:09,200 Speaker 1: spider web on my front porch and I was enjoying 593 00:34:09,200 --> 00:34:12,080 Speaker 1: watching and watching the spider set up shop there and 594 00:34:12,160 --> 00:34:14,319 Speaker 1: repair it. And then I happened to go out there 595 00:34:14,560 --> 00:34:17,319 Speaker 1: and find some manner of a little stink bug on 596 00:34:17,560 --> 00:34:21,440 Speaker 1: the pillar right next to the to the web, and 597 00:34:21,560 --> 00:34:24,440 Speaker 1: so on a on a whim, I flicked it into 598 00:34:24,520 --> 00:34:27,839 Speaker 1: the web, and then instantly the vibration strength of the web, 599 00:34:27,840 --> 00:34:31,880 Speaker 1: the spider rushed out and immediately wrapped up the struggling 600 00:34:32,120 --> 00:34:35,800 Speaker 1: bug inside the you know, the binds of the of 601 00:34:35,840 --> 00:34:38,920 Speaker 1: the spider web. It was fabulous to watch, uh, And 602 00:34:38,920 --> 00:34:41,239 Speaker 1: and that was my emotional reaction to it. It was like, oh, 603 00:34:41,400 --> 00:34:44,320 Speaker 1: this this was great. I got to sort of engineer 604 00:34:44,360 --> 00:34:48,000 Speaker 1: this situation that may well have occurred anyway, and get 605 00:34:48,040 --> 00:34:51,359 Speaker 1: to watch this in real time. But on the other hand, 606 00:34:51,400 --> 00:34:53,719 Speaker 1: other people have a different emotional response to seeing something 607 00:34:53,800 --> 00:34:57,560 Speaker 1: like that. You end up empathizing and humanizing the victim 608 00:34:57,600 --> 00:34:59,279 Speaker 1: of the spider, right, and you think, oh, what a 609 00:34:59,320 --> 00:35:01,799 Speaker 1: horrible thing happen, What a horrible experience to have to 610 00:35:01,840 --> 00:35:05,279 Speaker 1: go through. Yes, totally, so, I have no proof of 611 00:35:05,320 --> 00:35:07,719 Speaker 1: that of a correlation there, but I do wonder about that. 612 00:35:07,760 --> 00:35:10,279 Speaker 1: I feel like that could possibly be playing some role. 613 00:35:11,440 --> 00:35:15,319 Speaker 1: Um we end up siding with the prey animals as 614 00:35:15,320 --> 00:35:17,680 Speaker 1: opposed to the the predators, because that's the other way 615 00:35:17,719 --> 00:35:20,759 Speaker 1: I always think about spiders in my home, or even 616 00:35:20,800 --> 00:35:23,839 Speaker 1: like a centipede in the home. I think, good, you're 617 00:35:23,840 --> 00:35:27,640 Speaker 1: doing the lord's work, sir or madam, keep at it. 618 00:35:27,760 --> 00:35:32,000 Speaker 1: Probably the spider, right, yeah, yeah, But anyway, so Vetter 619 00:35:32,080 --> 00:35:35,880 Speaker 1: concludes by saying, despite the assumption that entomologists would extend 620 00:35:35,920 --> 00:35:39,960 Speaker 1: warm feelings towards spiders because of their habituation to arthropods 621 00:35:39,960 --> 00:35:43,800 Speaker 1: in general, arachnophobia does occur in some members of our profession. 622 00:35:44,120 --> 00:35:47,320 Speaker 1: For these people, two more legs makes a big difference. 623 00:35:48,960 --> 00:35:51,080 Speaker 1: Why is it the number of legs. That's the thing 624 00:35:51,120 --> 00:35:54,920 Speaker 1: that people consistently call out as disliking about spiders, like 625 00:35:55,320 --> 00:35:57,960 Speaker 1: too many legs, but they like a ladybug has only 626 00:35:58,000 --> 00:36:01,240 Speaker 1: got two less. You know, I was thinking about this 627 00:36:01,239 --> 00:36:04,840 Speaker 1: this This may have no connection, but um, we're putting 628 00:36:04,840 --> 00:36:08,239 Speaker 1: together some notes for an upcoming edition of our our 629 00:36:08,280 --> 00:36:11,040 Speaker 1: Friday night show Weird House Cinema, where we talk about 630 00:36:11,040 --> 00:36:14,320 Speaker 1: weird films, and I started thinking about a genre of 631 00:36:14,440 --> 00:36:21,000 Speaker 1: film subgenre uh that entails crawling disembodied hands and how 632 00:36:21,120 --> 00:36:24,360 Speaker 1: spiderlike they are. Uh. And I but I began to wonder, 633 00:36:24,440 --> 00:36:27,600 Speaker 1: like which, like, which is the predominant fear or maybe 634 00:36:27,680 --> 00:36:30,080 Speaker 1: it's more on an individual level. Is it that the 635 00:36:30,160 --> 00:36:33,560 Speaker 1: disembodied hand is like a spider or is it that 636 00:36:33,600 --> 00:36:36,440 Speaker 1: the spider is in some way kind of like a 637 00:36:36,560 --> 00:36:40,040 Speaker 1: human hand, you know, something, the way that it's often 638 00:36:40,080 --> 00:36:42,360 Speaker 1: bunched together, you know, in a way that you you 639 00:36:42,360 --> 00:36:46,200 Speaker 1: you typically won't see with with insect legs. Yes, well, 640 00:36:46,320 --> 00:36:50,320 Speaker 1: well you see you see spiders kind of working things 641 00:36:50,440 --> 00:36:52,760 Speaker 1: with their legs in a way that you don't usually 642 00:36:52,760 --> 00:36:54,960 Speaker 1: see insects doing. I mean, I guess sometimes you kind 643 00:36:54,960 --> 00:36:57,840 Speaker 1: of do. But I feel like insects are more likely 644 00:36:57,880 --> 00:37:00,440 Speaker 1: to manipulate things with their pincers. You can really see 645 00:37:00,480 --> 00:37:03,680 Speaker 1: a spider using the tips of its legs like fingers 646 00:37:03,719 --> 00:37:10,799 Speaker 1: to like roll something up. Yeah, creepy. Yeah, alright, live, 647 00:37:10,800 --> 00:37:13,040 Speaker 1: Why don't we take another break and when we come back, 648 00:37:13,080 --> 00:37:20,680 Speaker 1: we'll discuss another award winner. Thank thank alright, we're back, Robert. 649 00:37:20,719 --> 00:37:23,200 Speaker 1: I gotta admit this next study. I wonder if they 650 00:37:23,200 --> 00:37:28,440 Speaker 1: are drawing a spurious correlation. Yeah, I I had a 651 00:37:28,480 --> 00:37:33,279 Speaker 1: hard time with this one, but it was their psychology prize. Uh, 652 00:37:33,360 --> 00:37:37,120 Speaker 1: so we're we're gonna discuss it. It is eyebrows Q 653 00:37:37,400 --> 00:37:42,760 Speaker 1: Grandiose Narcissism by Miranda Gia Coleman and Nicholas o' rule, 654 00:37:42,840 --> 00:37:47,239 Speaker 1: published in the Journal of Personality back in May. All right, 655 00:37:47,320 --> 00:37:50,040 Speaker 1: let's hear it. So the basic idea is this, Okay, 656 00:37:50,160 --> 00:37:53,839 Speaker 1: narcissists can be charming, but narcissists are often, uh you know, 657 00:37:53,960 --> 00:37:57,160 Speaker 1: in many cases, horrible people best avoided. As such, it 658 00:37:57,239 --> 00:38:00,680 Speaker 1: pays to be able to identify them. Pastas have linked 659 00:38:00,719 --> 00:38:04,360 Speaker 1: viewing a person's personal appearance as a means of determining 660 00:38:04,440 --> 00:38:08,680 Speaker 1: narcissistic qualities, and this study look to isolate the exact 661 00:38:08,719 --> 00:38:12,840 Speaker 1: facial features, and eyebrows became the focal point in this 662 00:38:12,880 --> 00:38:17,640 Speaker 1: particular study. It's interesting. I mean, obviously people do. You 663 00:38:17,680 --> 00:38:20,759 Speaker 1: could say fairly or unfairly, but I mean certainly, at 664 00:38:20,840 --> 00:38:24,040 Speaker 1: least most of the time unfairly judge other people's character 665 00:38:24,200 --> 00:38:27,440 Speaker 1: by the way they look. I wouldn't have expected eyebrows 666 00:38:27,560 --> 00:38:31,600 Speaker 1: to be the most salient thing here. Yeah, I I 667 00:38:32,280 --> 00:38:35,440 Speaker 1: didn't either. I mean they make they make an interesting case. Uh. 668 00:38:35,560 --> 00:38:38,920 Speaker 1: Here's the basic summary. In study one, we explored the 669 00:38:38,960 --> 00:38:42,480 Speaker 1: faces features using a variety of manipulations, ultimately finding that 670 00:38:42,520 --> 00:38:47,440 Speaker 1: accurate judgments of grandiose narcissism particularly depend on a person's eyebrows, 671 00:38:47,840 --> 00:38:51,040 Speaker 1: and studies to A through to C, we identified eyebrow 672 00:38:51,160 --> 00:38:57,920 Speaker 1: distinctiveness thickness density as the primary characteristic supporting these judgments. Finally, 673 00:38:57,960 --> 00:39:01,120 Speaker 1: we confirmed the eyebrows importance and Studies three A and 674 00:39:01,200 --> 00:39:05,320 Speaker 1: three B by measuring how much perceptions of narcissism changed 675 00:39:05,440 --> 00:39:11,080 Speaker 1: when swapping narcissists and non narcissist eyebrows between faces. So, 676 00:39:11,120 --> 00:39:15,520 Speaker 1: at least, according to their conclusion, eyebrows are not just 677 00:39:15,680 --> 00:39:19,960 Speaker 1: something that people use to conclude that someone else is narcissistic, 678 00:39:20,360 --> 00:39:25,400 Speaker 1: but to some extent are accurate identifiers. Yeah, which again 679 00:39:25,480 --> 00:39:27,960 Speaker 1: I I just found I've read this, and I was thinking, 680 00:39:28,000 --> 00:39:30,799 Speaker 1: could this, Could this possibly be right? Because when I 681 00:39:30,840 --> 00:39:34,120 Speaker 1: think of big bushy eyebrows, I think of uh natural, 682 00:39:34,160 --> 00:39:36,800 Speaker 1: big bushy eyebrows. I think of say, actor Peter Gallagher 683 00:39:36,840 --> 00:39:39,399 Speaker 1: for some reason, like he instantly comes to mind as 684 00:39:39,440 --> 00:39:44,360 Speaker 1: having like big, full, beautiful eyebrows. But at the same time, 685 00:39:44,600 --> 00:39:46,480 Speaker 1: I don't. I mean, I don't know enough about Peter 686 00:39:46,520 --> 00:39:48,359 Speaker 1: Gallagher to really chutch him one way or the other. 687 00:39:48,400 --> 00:39:50,960 Speaker 1: But I don't think narcissist. I don't look at him 688 00:39:50,960 --> 00:39:53,719 Speaker 1: and think, oh, there's a narcissist right there. I was 689 00:39:53,800 --> 00:39:56,759 Speaker 1: trying to think, what do I know him from? He 690 00:39:56,800 --> 00:39:59,480 Speaker 1: was in that spy movie with Bill Murray, and then 691 00:39:59,480 --> 00:40:02,120 Speaker 1: he's been in an like a million TV shows, always 692 00:40:02,120 --> 00:40:08,360 Speaker 1: in Mr Deed's Great Great film? Is that an eight movie? No? Okay, 693 00:40:09,000 --> 00:40:13,080 Speaker 1: what am I anything? You've done some checks? We should 694 00:40:13,120 --> 00:40:16,680 Speaker 1: keep all this. He tends to not play narcissists like 695 00:40:16,760 --> 00:40:20,920 Speaker 1: you would think if if his eyebrows were we're we're 696 00:40:21,000 --> 00:40:24,520 Speaker 1: we're queuing us into narcissism, And he was legitimately narcissist 697 00:40:24,800 --> 00:40:27,920 Speaker 1: narcissist himself like he would play a lot of narcissists 698 00:40:28,160 --> 00:40:30,040 Speaker 1: on the screen. I know what I realized. I know 699 00:40:30,239 --> 00:40:33,200 Speaker 1: him from American Beauty, in which I think he does 700 00:40:33,280 --> 00:40:38,279 Speaker 1: play a narcissist. But also I think that movie is narcissistic. Okay. 701 00:40:39,320 --> 00:40:42,440 Speaker 1: Um Now, now, speaking of of movies, the other thing 702 00:40:42,480 --> 00:40:44,920 Speaker 1: I think of when I think of big bushy eyebrows 703 00:40:44,960 --> 00:40:49,360 Speaker 1: are the extreme eyebrows that the Mintats boast in David 704 00:40:49,440 --> 00:40:53,080 Speaker 1: Lynch's Dune. Um. Now, I don't tend to think of 705 00:40:53,080 --> 00:40:55,640 Speaker 1: of the Mintats is especially narcissistic, but I guess it 706 00:40:55,680 --> 00:40:58,120 Speaker 1: doesn't really make any sense because those are like clearly 707 00:40:58,160 --> 00:41:00,439 Speaker 1: just added to the character to give the some sort 708 00:41:00,440 --> 00:41:04,600 Speaker 1: of distinctive visual flair for the viewer. Surely through Fear 709 00:41:04,640 --> 00:41:07,840 Speaker 1: how what has has appropriately gone through ego death in 710 00:41:07,960 --> 00:41:12,399 Speaker 1: order to become the human computer who's playing through Fear 711 00:41:12,440 --> 00:41:16,480 Speaker 1: how Loud and the new one. It's Stephen McKinley Henderson. Um. 712 00:41:16,560 --> 00:41:19,200 Speaker 1: He was most recently, I believe in that that Hulu 713 00:41:19,280 --> 00:41:21,880 Speaker 1: series Deaths. He's he's really good. I'm looking forward to 714 00:41:21,960 --> 00:41:28,479 Speaker 1: checking out his performance. Oh I know him. Oh he's great. Yeah, Yeah, 715 00:41:28,480 --> 00:41:30,799 Speaker 1: he's a wonderful actor. I was trying to remember what 716 00:41:30,880 --> 00:41:32,840 Speaker 1: I recently saw him, and I think he has a 717 00:41:32,840 --> 00:41:36,960 Speaker 1: small part in Ladybird. Ah. Yeah, well, I don't know 718 00:41:37,239 --> 00:41:39,120 Speaker 1: if he's gonna I don't think he's gonna have giant 719 00:41:39,120 --> 00:41:44,120 Speaker 1: eyebrows in the now delayed film adaptation of Dune. But 720 00:41:44,520 --> 00:41:47,160 Speaker 1: the thing is, now that it's delayed a year, they've 721 00:41:47,160 --> 00:41:49,920 Speaker 1: got time to go in and digitally add crazy eyebrows 722 00:41:49,920 --> 00:41:53,879 Speaker 1: to all the mentats. Anyway, back back to the study here, 723 00:41:53,920 --> 00:41:57,920 Speaker 1: So they use neutral expression portraits of thirty nine students 724 00:41:57,920 --> 00:42:01,320 Speaker 1: at the University of Toronto. Twenty six female is, thirteen males, 725 00:42:01,360 --> 00:42:05,080 Speaker 1: thirty two white, seven non white, average age twenty one, 726 00:42:05,120 --> 00:42:08,720 Speaker 1: and the thirty nine subjects took a standardized narcissistic personality test. 727 00:42:09,280 --> 00:42:12,239 Speaker 1: Then twenty eight virtual volunteers looked at the portraits and 728 00:42:12,320 --> 00:42:15,440 Speaker 1: rated in them on a scale from one not narcissistic 729 00:42:15,440 --> 00:42:19,239 Speaker 1: at all to eight extremely narcissistic. They also flip the 730 00:42:19,239 --> 00:42:21,520 Speaker 1: images upside down, as this has been shown to allow 731 00:42:21,600 --> 00:42:24,360 Speaker 1: humans to better focus on particular features of the face 732 00:42:24,719 --> 00:42:27,359 Speaker 1: rather than the face as a whole, and the eyebrows, 733 00:42:27,400 --> 00:42:30,600 Speaker 1: according to the study, were always the giveaway. Distinct eyebrows 734 00:42:30,600 --> 00:42:35,000 Speaker 1: were more likely to accurately identified narcissists. The inversion of 735 00:42:35,040 --> 00:42:37,120 Speaker 1: the head thing is making me think of one of 736 00:42:37,120 --> 00:42:39,839 Speaker 1: the most hilarious effects we've ever talked about on the show, 737 00:42:39,840 --> 00:42:42,720 Speaker 1: which is the Margaret Thatcher effect, where when you flip 738 00:42:42,719 --> 00:42:45,960 Speaker 1: a head upside down, you can invert the eyes and 739 00:42:46,000 --> 00:42:49,440 Speaker 1: the mouth so that like they are actually opposite of 740 00:42:49,520 --> 00:42:52,880 Speaker 1: the orientation of the head. But people don't notice it 741 00:42:52,920 --> 00:42:56,720 Speaker 1: when they're looking at the head upside down. You should 742 00:42:56,719 --> 00:42:58,359 Speaker 1: look this up if you've never seen it before. It's 743 00:42:58,400 --> 00:43:02,200 Speaker 1: really funny now, i'd actually the main purpose of eyebrows 744 00:43:02,360 --> 00:43:06,680 Speaker 1: is to keep sweat, water debris out of your eye sockets. Um. 745 00:43:06,719 --> 00:43:09,200 Speaker 1: But of course the human faces also, as we've discussed 746 00:43:09,200 --> 00:43:12,719 Speaker 1: many times, a communications array, so we we can't dismiss 747 00:43:12,760 --> 00:43:17,440 Speaker 1: the communicative qualities here. It may play into dog eyebrows, 748 00:43:17,520 --> 00:43:20,600 Speaker 1: even as a two thousand nineteen University of Portsmouth study 749 00:43:20,640 --> 00:43:24,440 Speaker 1: found that human preferences for expressive brows may have influenced 750 00:43:24,480 --> 00:43:28,640 Speaker 1: selection in domestic dog breeds. Does your dog have have 751 00:43:28,760 --> 00:43:34,000 Speaker 1: nice eyebrows? He has the most heavenly eyebrows. They're very 752 00:43:34,000 --> 00:43:36,640 Speaker 1: bushy and they are very expressive. See there you go. 753 00:43:37,160 --> 00:43:39,480 Speaker 1: Also has pointed out in a two thousand eighteen University 754 00:43:39,480 --> 00:43:42,920 Speaker 1: of York study published in Nature Ecology and Evolution, highly 755 00:43:42,960 --> 00:43:46,719 Speaker 1: mobile eyebrows in humans can be used to express a 756 00:43:46,719 --> 00:43:49,120 Speaker 1: wide array of emotions that may have been key to 757 00:43:49,200 --> 00:43:52,040 Speaker 1: human survival. Uh, they might even be key to our 758 00:43:52,040 --> 00:43:56,200 Speaker 1: ability to empathize and identify with the emotions of others. So, 759 00:43:56,520 --> 00:43:58,640 Speaker 1: you know, think about like all the things you can 760 00:43:58,680 --> 00:44:01,120 Speaker 1: say just with your eyebrows. It's all the even subtle 761 00:44:01,480 --> 00:44:05,319 Speaker 1: um communicative cues you can pick up on with eyebrows. 762 00:44:05,760 --> 00:44:08,480 Speaker 1: Sure so, fair enough. We we can imagine how more 763 00:44:08,480 --> 00:44:12,680 Speaker 1: distinctive eyebrows might accentuate these communications. But how would that 764 00:44:12,719 --> 00:44:15,799 Speaker 1: be linked to a personality disorder? You know again, it's 765 00:44:15,880 --> 00:44:20,480 Speaker 1: it's it's the fact that they're distinctive thickness and density um. 766 00:44:20,520 --> 00:44:24,000 Speaker 1: In another experiment, they also gave narcissistic individuals new eyebrows, 767 00:44:24,080 --> 00:44:26,279 Speaker 1: this was the eyebrow swap thing, and tested them out 768 00:44:26,280 --> 00:44:28,560 Speaker 1: on people, and they found that they did rate them 769 00:44:28,560 --> 00:44:31,399 Speaker 1: as less narcissistic, and putting more distinctive eyebrows and less 770 00:44:31,440 --> 00:44:35,080 Speaker 1: narcissistic people produced the opposite effect. So it'll leads to 771 00:44:35,120 --> 00:44:40,719 Speaker 1: the big question, do narcissists have particular morphological characteristics. I 772 00:44:40,760 --> 00:44:43,240 Speaker 1: guess this is the part I'd be more skeptical about 773 00:44:43,280 --> 00:44:46,680 Speaker 1: than the idea that people think they can identify narcissists 774 00:44:46,680 --> 00:44:49,719 Speaker 1: through certain facial characteristics. I'd be more surprised if it 775 00:44:49,760 --> 00:44:53,839 Speaker 1: were true that they could, that they actually accurately were 776 00:44:54,640 --> 00:44:58,080 Speaker 1: finding correlations there with facial characteristics. I guess it's not impossible, 777 00:44:58,120 --> 00:44:59,839 Speaker 1: but I feel like I need to see really good 778 00:45:00,000 --> 00:45:03,000 Speaker 1: evidence of that. Yeah, I mean, I guess. Another thing 779 00:45:03,040 --> 00:45:04,680 Speaker 1: to keep in mind is like this is a study 780 00:45:04,680 --> 00:45:08,120 Speaker 1: that was asking people about narcissism in images of people, 781 00:45:08,160 --> 00:45:10,640 Speaker 1: like is this a narcissist? That a narcissist? And I 782 00:45:10,640 --> 00:45:12,920 Speaker 1: feel like, for the most part, this is one of 783 00:45:13,000 --> 00:45:16,000 Speaker 1: just many questions we may ask about people that we encounter. 784 00:45:16,160 --> 00:45:20,680 Speaker 1: You know, Uh, it's probably not your primary question regarding 785 00:45:20,680 --> 00:45:23,200 Speaker 1: an individual like narcissist or not a narcissist. I don't 786 00:45:23,200 --> 00:45:26,000 Speaker 1: I don't know that. Maybe that's just me, um, because 787 00:45:26,080 --> 00:45:28,239 Speaker 1: ultimately it comes down to them to like how would 788 00:45:28,280 --> 00:45:30,600 Speaker 1: this work? What would be the tie? You know, obviously 789 00:45:30,640 --> 00:45:34,120 Speaker 1: there's there's not like this, like the personality disorder would 790 00:45:34,200 --> 00:45:39,279 Speaker 1: make your eyebrows grow more bushy, right, um, And it 791 00:45:39,320 --> 00:45:42,439 Speaker 1: would have to be something more in terms of like 792 00:45:42,600 --> 00:45:45,560 Speaker 1: it it changed. It affects the way that you interact 793 00:45:45,600 --> 00:45:48,799 Speaker 1: with the world, and that and the way that you're received, 794 00:45:49,080 --> 00:45:52,719 Speaker 1: and that ends up nurturing a sense of narcissism. I 795 00:45:52,719 --> 00:45:55,200 Speaker 1: don't know, possibly, I mean you could say that from 796 00:45:55,200 --> 00:45:58,640 Speaker 1: like a developmental personality where I mean, I guess you could, 797 00:45:59,080 --> 00:46:01,120 Speaker 1: though again, this is one of those things that seems 798 00:46:01,200 --> 00:46:03,400 Speaker 1: very difficult to believe. I guess you could try to 799 00:46:03,440 --> 00:46:07,080 Speaker 1: say that there's some correlated like genetic component that's like 800 00:46:07,200 --> 00:46:10,560 Speaker 1: deeper back that happens to have both random effects like 801 00:46:10,800 --> 00:46:14,040 Speaker 1: happens to give you more distinctive eyebrows and also happens 802 00:46:14,040 --> 00:46:17,560 Speaker 1: to make you more narcissistic. But again, uh, it seems 803 00:46:17,640 --> 00:46:19,960 Speaker 1: kind of hard to believe that. Yeah, I mean, they 804 00:46:19,960 --> 00:46:22,680 Speaker 1: bring up the idea of messing with your eyebrows, grooming 805 00:46:22,719 --> 00:46:26,920 Speaker 1: your eyebrows, and how you know, you know, they basically 806 00:46:26,920 --> 00:46:29,480 Speaker 1: they said quote though narcissism did not significantly relate to 807 00:46:29,520 --> 00:46:33,760 Speaker 1: eyebrow grooming. Here, grooming mediated how grandiosity related to perceived 808 00:46:33,840 --> 00:46:38,560 Speaker 1: narcissism when controlling distinctiveness and femininity, and previous research found 809 00:46:38,560 --> 00:46:42,759 Speaker 1: that eyebrow plucking relates to women's narcissism, But I don't 810 00:46:42,800 --> 00:46:45,839 Speaker 1: know that doesn't really um, you know, provide a firm 811 00:46:45,880 --> 00:46:48,680 Speaker 1: answer for me, like what what we're seeing when we 812 00:46:48,719 --> 00:46:52,279 Speaker 1: see eyebrows that are somehow queuing us into narcissism? Like 813 00:46:52,320 --> 00:46:55,160 Speaker 1: I feel like I can. I can look at a 814 00:46:55,200 --> 00:46:59,560 Speaker 1: photograph of someone who I either know or believe to 815 00:46:59,680 --> 00:47:03,239 Speaker 1: how of narcissistic qualities, and I can often lean into 816 00:47:03,239 --> 00:47:06,160 Speaker 1: this interpretation. I can say, well, I guess those eyebrows 817 00:47:06,160 --> 00:47:09,520 Speaker 1: are pretty wild and thick, you know, Or well, those 818 00:47:09,560 --> 00:47:12,080 Speaker 1: eyebrows are really well maintained. You know that. I guess 819 00:47:12,080 --> 00:47:13,960 Speaker 1: there are there are things I can I can then 820 00:47:14,000 --> 00:47:17,839 Speaker 1: pinpoint if I'm prompted, But I I just I don't. 821 00:47:18,400 --> 00:47:19,759 Speaker 1: I just have a hard time with this one. I 822 00:47:19,760 --> 00:47:21,160 Speaker 1: have to admit I have. I have a hard time 823 00:47:21,200 --> 00:47:25,120 Speaker 1: seeing the eyebrows as a window into the narcissistic soul. Yeah. 824 00:47:25,120 --> 00:47:26,640 Speaker 1: I guess it's one of those things where it just 825 00:47:26,800 --> 00:47:30,520 Speaker 1: it just seems kind of like surface level implausible to me. 826 00:47:30,600 --> 00:47:32,120 Speaker 1: But I guess I don't know. It's one of those 827 00:47:32,120 --> 00:47:35,040 Speaker 1: word if if I saw more evidence than I guess, 828 00:47:35,040 --> 00:47:37,680 Speaker 1: I'd have to accept it. But yeah, I mean I 829 00:47:38,320 --> 00:47:40,399 Speaker 1: do have to, you know, give credit to the whole 830 00:47:40,640 --> 00:47:42,840 Speaker 1: argument of the eyebrows being key to the way we 831 00:47:42,880 --> 00:47:45,319 Speaker 1: communicate with people, you know, like like in ways that 832 00:47:45,360 --> 00:47:48,320 Speaker 1: we often don't think about. Uh, you know, unless you're 833 00:47:48,360 --> 00:47:50,680 Speaker 1: just really obsessed with eyebrows. Like you know, we are 834 00:47:50,719 --> 00:47:53,080 Speaker 1: moving our eyebrows around a lot. They are, they are 835 00:47:53,320 --> 00:47:56,480 Speaker 1: doing a lot to communicate how we feel about ourselves 836 00:47:56,520 --> 00:47:59,200 Speaker 1: and about other people to the world. So I mean, 837 00:47:59,239 --> 00:48:02,560 Speaker 1: on another hand, why not the eyebrow? Sure, we'd love 838 00:48:02,560 --> 00:48:04,719 Speaker 1: to hear from from listeners on this one. What's your 839 00:48:04,760 --> 00:48:07,960 Speaker 1: relationship with eyebrows? Do you see eyebrows as a as 840 00:48:08,040 --> 00:48:12,880 Speaker 1: a as a clue to someone's narcissistic qualities? Um, we'd 841 00:48:12,920 --> 00:48:15,120 Speaker 1: love to hear from you. Are you a grandiose narcissist? 842 00:48:15,160 --> 00:48:17,960 Speaker 1: Do you have really distinctive eyebrows? Yeah, let us know, 843 00:48:19,160 --> 00:48:21,800 Speaker 1: measure them all right? Shall we move on to the 844 00:48:22,120 --> 00:48:24,960 Speaker 1: final prize that we're going to discuss on this episode. Sure, 845 00:48:25,200 --> 00:48:26,799 Speaker 1: this one will be pretty quick, but I thought this 846 00:48:26,880 --> 00:48:29,439 Speaker 1: was kind of fun. So you remember earlier this year 847 00:48:30,040 --> 00:48:33,160 Speaker 1: when we were talking about snake pits, and in that 848 00:48:33,200 --> 00:48:38,680 Speaker 1: episode I discussed research on the vocalizations of snakes like 849 00:48:38,840 --> 00:48:42,680 Speaker 1: king cobras, how they're known, in fact, not just to hiss, 850 00:48:43,120 --> 00:48:47,080 Speaker 1: but to actually growl. Yes, And one of the tests 851 00:48:47,120 --> 00:48:51,280 Speaker 1: conducted in that study about King Cobra's and related snakes 852 00:48:51,320 --> 00:48:55,480 Speaker 1: growling actually involved getting a snake to inhale helium and 853 00:48:55,520 --> 00:48:58,560 Speaker 1: talk like Donald Duck. And I thought that was a 854 00:48:58,600 --> 00:49:00,759 Speaker 1: pretty great experiment, but it uns out this is a 855 00:49:00,760 --> 00:49:04,320 Speaker 1: broader genre of scientific weirdness, as proven by this year's 856 00:49:04,320 --> 00:49:09,680 Speaker 1: Ignoble winner in acoustics. So this prize went to Stephen A. 857 00:49:09,880 --> 00:49:15,480 Speaker 1: Rebber Takeshi Nishimura, Judith Yanish, Mark Robertson, and W two 858 00:49:15,480 --> 00:49:19,480 Speaker 1: comes to Fitch And the study was called a Chinese 859 00:49:19,560 --> 00:49:23,440 Speaker 1: Alligator in helios Format Frequencies and a Crocodilian and the 860 00:49:23,480 --> 00:49:28,400 Speaker 1: Journal of Experimental Biology in uh so they the authors 861 00:49:28,680 --> 00:49:31,279 Speaker 1: here start by saying that crocodilians are among the most 862 00:49:31,360 --> 00:49:35,240 Speaker 1: vocal non avian reptiles. Not a lot of reptiles really 863 00:49:35,400 --> 00:49:40,040 Speaker 1: make you know, voice sounds, but crocodiles do. Crocodilians do. 864 00:49:40,760 --> 00:49:45,160 Speaker 1: Both males and females tend to produce sounds called bellows, 865 00:49:45,160 --> 00:49:49,879 Speaker 1: so they'll they'll kind of and this happens all year, 866 00:49:49,960 --> 00:49:53,319 Speaker 1: but especially during mating season. And the question is what 867 00:49:53,400 --> 00:49:57,640 Speaker 1: purpose do these bellows serve. Scientists aren't exactly sure, but 868 00:49:57,680 --> 00:50:03,040 Speaker 1: they think they might be auditory ad atisements of body size. So, 869 00:50:03,080 --> 00:50:05,400 Speaker 1: if you're a crocodilian trying to make you want to 870 00:50:05,400 --> 00:50:09,440 Speaker 1: be large, the author's right quote, relative sized differences strongly 871 00:50:09,480 --> 00:50:14,960 Speaker 1: affect courtship and territorial behavior in crocodilians. Now, in mammals 872 00:50:14,960 --> 00:50:19,400 Speaker 1: and birds, it has been documented that vocalizations are sometimes 873 00:50:19,440 --> 00:50:22,239 Speaker 1: an honest signal, and that's a term in biology, and 874 00:50:22,320 --> 00:50:26,400 Speaker 1: honest signal of body size, meaning an advertisement that is 875 00:50:26,440 --> 00:50:30,440 Speaker 1: basically true. It's hard to fake because body size is 876 00:50:30,520 --> 00:50:34,319 Speaker 1: related to what kinds of frequencies you can make when 877 00:50:34,360 --> 00:50:38,520 Speaker 1: you issue a vocalization, specifically with reference to what are 878 00:50:38,520 --> 00:50:43,239 Speaker 1: known as formant frequencies or vocal tract resonances. And these 879 00:50:43,280 --> 00:50:47,120 Speaker 1: are like sort of peak frequencies that you hit, say, 880 00:50:47,120 --> 00:50:51,000 Speaker 1: when you're making certain kinds of vowel like sounds. Now, 881 00:50:51,000 --> 00:50:53,719 Speaker 1: where does this study fit into everything I've just said? Well, 882 00:50:53,760 --> 00:50:57,760 Speaker 1: the authors here say that format frequencies have never been 883 00:50:57,800 --> 00:51:01,600 Speaker 1: documented before in a reptile, in a non avian reptile, 884 00:51:02,080 --> 00:51:04,239 Speaker 1: and they say quote, formants do not seem to play 885 00:51:04,239 --> 00:51:07,920 Speaker 1: a role in the vocalizations of frogs and toads. Technically 886 00:51:08,000 --> 00:51:10,800 Speaker 1: they're called a neurons, but that means frogs and toads. 887 00:51:11,320 --> 00:51:15,640 Speaker 1: They write quote. We tested performance in crocodilian vocalizations by 888 00:51:15,719 --> 00:51:20,759 Speaker 1: using playbacks to induce a female Chinese alligator or alligator 889 00:51:20,840 --> 00:51:26,400 Speaker 1: sinensis to bellow in an air tight chamber. During vocalizations, 890 00:51:26,440 --> 00:51:31,040 Speaker 1: the animal inhaled either normal air or a helium oxygen 891 00:51:31,120 --> 00:51:34,880 Speaker 1: mixture known as helios, in which the velocity of sound 892 00:51:35,040 --> 00:51:39,920 Speaker 1: is increased. Although helios allows normal respiration, it alters the 893 00:51:39,960 --> 00:51:44,279 Speaker 1: formant distribution of the sound spectrum. An acoustic analysis of 894 00:51:44,320 --> 00:51:47,640 Speaker 1: the calls showed that the source signal components remained constant 895 00:51:47,719 --> 00:51:51,600 Speaker 1: under both conditions, but an upward shift of high energy 896 00:51:51,640 --> 00:51:55,799 Speaker 1: frequency bands was observed in helios. We conclude that these 897 00:51:55,840 --> 00:52:00,880 Speaker 1: frequency bands represent formants. So, according to their theory radical framework, 898 00:52:00,920 --> 00:52:03,919 Speaker 1: they think this is a good sign that actually what 899 00:52:04,239 --> 00:52:07,520 Speaker 1: crocodiles are doing, what crocodilians are doing with these bellowing 900 00:52:07,640 --> 00:52:13,480 Speaker 1: sounds is actually advertising body size via these format frequencies 901 00:52:13,520 --> 00:52:17,160 Speaker 1: in their vocalizations. And uh oh, and also because they 902 00:52:17,160 --> 00:52:20,040 Speaker 1: say okay, so we've observed these format frequencies playing a 903 00:52:20,120 --> 00:52:23,640 Speaker 1: role in like mating calls in birds and if it's 904 00:52:23,719 --> 00:52:27,560 Speaker 1: correct that they're doing a similar thing in crocodilians. And 905 00:52:27,680 --> 00:52:32,800 Speaker 1: because birds and crocodilians share a common ancestor with all dinosaurs, 906 00:52:33,239 --> 00:52:35,960 Speaker 1: they say quote a better understanding of their vocal production 907 00:52:36,040 --> 00:52:41,520 Speaker 1: systems may also provide insight into the communication of extinct arcosaurians. 908 00:52:41,719 --> 00:52:45,160 Speaker 1: So it's actually a really interesting study. I guess if 909 00:52:45,200 --> 00:52:47,640 Speaker 1: you ask the question why is it funny, I guess 910 00:52:47,640 --> 00:52:54,759 Speaker 1: it's the helium giving healing crocodile. Also, I found it 911 00:52:55,080 --> 00:52:57,719 Speaker 1: in the study there was a pretty funny illustration of 912 00:52:57,760 --> 00:53:00,840 Speaker 1: the experimental setup that showed the croc goodisles in the 913 00:53:01,040 --> 00:53:05,440 Speaker 1: sealed chambers either breathing air or breathing the oxygen helium mixture. 914 00:53:06,440 --> 00:53:09,360 Speaker 1: It is. It is kind of a humorous illustration. I 915 00:53:09,360 --> 00:53:11,480 Speaker 1: don't know why, but it's it's like a nice illustration 916 00:53:11,520 --> 00:53:15,480 Speaker 1: it has. It's very colorful. The crocodile looks looks realistic. 917 00:53:15,520 --> 00:53:18,000 Speaker 1: It's not a cartoon crocodile. But I don't know, it 918 00:53:18,040 --> 00:53:20,160 Speaker 1: does look a little awkward in there. It just makes 919 00:53:20,160 --> 00:53:23,480 Speaker 1: me wonder how many different studies have made other animals 920 00:53:23,480 --> 00:53:26,160 Speaker 1: in hale helium to see what their voices sound like, 921 00:53:26,200 --> 00:53:29,319 Speaker 1: so we got snakes and we got crocodiles. Now, where 922 00:53:29,360 --> 00:53:33,719 Speaker 1: where else has this happened? We're not crocodile? Sorry, this 923 00:53:33,760 --> 00:53:36,279 Speaker 1: was an alligator, I guess, say, a crocodilian. Sorry, if 924 00:53:36,280 --> 00:53:39,399 Speaker 1: I've been loose with that terminology. Well maybe, well we'll 925 00:53:39,440 --> 00:53:41,000 Speaker 1: have to come back and do an episode on Helium 926 00:53:41,000 --> 00:53:46,680 Speaker 1: and discuss it. Okay, I'll meet you there all right. Well, 927 00:53:47,120 --> 00:53:48,759 Speaker 1: like I said, we're not going to cover all the 928 00:53:48,800 --> 00:53:52,560 Speaker 1: Ignoble Prize winners for We're just covering these four. If 929 00:53:52,560 --> 00:53:55,240 Speaker 1: you want to check out the full list of winners again, 930 00:53:55,280 --> 00:53:58,520 Speaker 1: go to Improbable dot com and you get to check 931 00:53:58,520 --> 00:54:01,200 Speaker 1: out the list and see links to the studies. Um, 932 00:54:01,560 --> 00:54:03,520 Speaker 1: it's it's always worth a read, just to see what 933 00:54:03,560 --> 00:54:07,759 Speaker 1: they're they're highlighting from, you know, from from recent or 934 00:54:07,840 --> 00:54:12,200 Speaker 1: not so recent scientific studies. Yeah, give him a look there. 935 00:54:12,320 --> 00:54:15,479 Speaker 1: There was another one that definitely raised my eyebrow this year, 936 00:54:15,520 --> 00:54:19,000 Speaker 1: and it was about it was about looking into economic 937 00:54:19,200 --> 00:54:22,920 Speaker 1: data via mouth to mouth kissing. Oh okay, yeah, that 938 00:54:22,960 --> 00:54:25,440 Speaker 1: one looked good. There's also one about hitting man. Did 939 00:54:25,440 --> 00:54:28,000 Speaker 1: you see that one? Yes? Yeah, it wasn't really contact. 940 00:54:28,120 --> 00:54:30,200 Speaker 1: It was just like a news It was a funny 941 00:54:30,200 --> 00:54:34,440 Speaker 1: news report. Basically, it was a story from China where 942 00:54:34,760 --> 00:54:37,400 Speaker 1: someone had taken out a murder contract that was just 943 00:54:37,520 --> 00:54:42,279 Speaker 1: repeatedly subcontracted down to like five or six layers of 944 00:54:42,280 --> 00:54:45,840 Speaker 1: of different people who were hired for successively smaller sums, 945 00:54:46,080 --> 00:54:48,400 Speaker 1: and then the murder was never done. Yeah, it's it 946 00:54:48,600 --> 00:54:50,560 Speaker 1: sounds like it would make a great Coen Brothers film, 947 00:54:50,600 --> 00:54:53,839 Speaker 1: you know, like each one gets cold feet and they're 948 00:54:53,840 --> 00:54:58,160 Speaker 1: like okay, yeah, yeah, until like basically they're just being 949 00:54:58,239 --> 00:55:01,920 Speaker 1: offered so little money it just doesn't get done. All right. Well, 950 00:55:01,960 --> 00:55:03,880 Speaker 1: if you want to check out other episodes of Stuff 951 00:55:03,920 --> 00:55:05,759 Speaker 1: to Blow your Mind, you know where to find us. 952 00:55:05,760 --> 00:55:08,719 Speaker 1: You can find us wherever you get your podcasts and 953 00:55:08,760 --> 00:55:11,000 Speaker 1: wherever that happens to be. We just asked that you rate, 954 00:55:11,080 --> 00:55:13,560 Speaker 1: review and subscribe. You can always go to stuff to 955 00:55:13,560 --> 00:55:15,160 Speaker 1: Blow your Mind dot com and that will take you 956 00:55:15,239 --> 00:55:18,080 Speaker 1: right to our I heart listing. Uh. And you also 957 00:55:18,080 --> 00:55:20,680 Speaker 1: see a button there somewhere on the page for store. 958 00:55:20,880 --> 00:55:22,120 Speaker 1: If you click on that, you go to our t 959 00:55:22,239 --> 00:55:24,480 Speaker 1: shirt store. You can buy a T shirt or a 960 00:55:24,520 --> 00:55:26,840 Speaker 1: sticker or a bag with our logo on it or 961 00:55:26,880 --> 00:55:30,480 Speaker 1: some manner of monster. Uh. Pretty fun little place. We 962 00:55:30,640 --> 00:55:32,759 Speaker 1: hopefully you're gonna get some new designs in there soon. 963 00:55:33,320 --> 00:55:35,320 Speaker 1: Let's see what else. So yeah, our former co host 964 00:55:35,400 --> 00:55:39,800 Speaker 1: Christian has a Kickstarter going right now for Corridor magazine 965 00:55:39,840 --> 00:55:43,920 Speaker 1: issue number one. It's gonna be a whole bunch of 966 00:55:43,920 --> 00:55:49,440 Speaker 1: of cool, weird art, short fiction, UH, comics, essays, uh 967 00:55:49,640 --> 00:55:52,399 Speaker 1: all together. If you're if you want to follow back 968 00:55:52,440 --> 00:55:55,840 Speaker 1: a cool project, just go to Kickstarter and look up Corridor. 969 00:55:56,080 --> 00:55:58,480 Speaker 1: You're in there, aren't you. Yeah. I've got a little 970 00:55:58,520 --> 00:56:00,799 Speaker 1: story like a sci fi store with sharks in it, 971 00:56:01,280 --> 00:56:04,359 Speaker 1: I said, I think listeners will enjoy, so yeah, and 972 00:56:04,360 --> 00:56:07,720 Speaker 1: but then also just a whole host of other richly 973 00:56:07,719 --> 00:56:10,160 Speaker 1: talented people. And it's from the images I've seen, it's 974 00:56:10,160 --> 00:56:12,719 Speaker 1: just gonna be gorgeous cover to cover. So that that 975 00:56:12,800 --> 00:56:14,640 Speaker 1: kickstarters ending soon. So if you want to be a 976 00:56:14,640 --> 00:56:17,439 Speaker 1: part of it, go look it up now. Definitely big 977 00:56:17,480 --> 00:56:21,040 Speaker 1: thanks as always to our excellent audio producer Seth Nicholas Johnson. 978 00:56:21,120 --> 00:56:22,719 Speaker 1: If you would like to get in touch with us 979 00:56:22,719 --> 00:56:25,240 Speaker 1: with feedback on this episode or any other, to suggest 980 00:56:25,239 --> 00:56:27,280 Speaker 1: a topic for the future, or just to say hello, 981 00:56:27,360 --> 00:56:30,080 Speaker 1: you can email us at contact at Stuff to Blow 982 00:56:30,120 --> 00:56:39,879 Speaker 1: Your Mind Pod cover Stuff to Blow Your Mind it's 983 00:56:39,920 --> 00:56:42,600 Speaker 1: production of I heart Radio. For more podcasts for My 984 00:56:42,640 --> 00:56:45,680 Speaker 1: heart Radio, visit the iHeart Radio app, Apple podcasts, or 985 00:56:45,719 --> 00:57:02,920 Speaker 1: wherever you're listening to your favorite shows. Proper time the 986 00:57:03,000 --> 00:57:04,080 Speaker 1: town to b