1 00:00:03,120 --> 00:00:06,160 Speaker 1: Welcome to Stuff to Blow your Mind from housetop works 2 00:00:06,200 --> 00:00:17,440 Speaker 1: dot com. Hey, you welcome to stuff to blow your mind. 3 00:00:17,440 --> 00:00:19,960 Speaker 1: My name is Robert Lamb, I'm Joe McCormick, and I 4 00:00:20,000 --> 00:00:22,560 Speaker 1: am Christian Savior. Hey, and all three of us are 5 00:00:22,600 --> 00:00:25,840 Speaker 1: back in here again, talk about the ig Nobel Prizes. 6 00:00:26,520 --> 00:00:29,120 Speaker 1: Part Fishing. Yeah. This is part two of the two 7 00:00:29,120 --> 00:00:31,320 Speaker 1: part episodes. If you haven't checked out the first part, 8 00:00:31,320 --> 00:00:33,080 Speaker 1: you might want to go back and listen to that first. 9 00:00:33,120 --> 00:00:35,879 Speaker 1: It was the last episode we did right before this one. 10 00:00:36,479 --> 00:00:38,440 Speaker 1: But if you want to just jump right in the middle, 11 00:00:38,640 --> 00:00:40,440 Speaker 1: you don't care about any context. I don't want to 12 00:00:40,440 --> 00:00:41,879 Speaker 1: know what the prizes are. You just want to hear 13 00:00:41,880 --> 00:00:45,120 Speaker 1: about some weird science. Here we are because it's very 14 00:00:45,159 --> 00:00:47,680 Speaker 1: modular in that respect, and we one study after the other, 15 00:00:47,760 --> 00:00:50,200 Speaker 1: and we will definitely be talking about weird science today. 16 00:00:50,280 --> 00:00:52,360 Speaker 1: We are going to be talking about the science of kissing. 17 00:00:52,760 --> 00:00:55,480 Speaker 1: These science and how many people, how many babies a 18 00:00:55,560 --> 00:00:57,840 Speaker 1: man could possibly have in a certain period of time 19 00:00:57,880 --> 00:01:01,440 Speaker 1: of his life, beastings in a sour chickens. We're gonna 20 00:01:01,520 --> 00:01:04,760 Speaker 1: talking about speed bumps and the pain that they apply 21 00:01:04,920 --> 00:01:08,320 Speaker 1: to us, right, yeah, oh man, But before we get 22 00:01:08,400 --> 00:01:11,319 Speaker 1: into that. I want to remind our listeners about our 23 00:01:11,319 --> 00:01:15,520 Speaker 1: social media presence. So Facebook, Twitter, and Tumblr. We post 24 00:01:15,640 --> 00:01:18,240 Speaker 1: all kinds of things on those channels that aren't just 25 00:01:18,360 --> 00:01:21,360 Speaker 1: our podcast, right. We've got our own blog posts, all 26 00:01:21,400 --> 00:01:23,400 Speaker 1: three of us right for how stuff works as well 27 00:01:23,440 --> 00:01:26,960 Speaker 1: outside of this, and we've got videos as well. Plus 28 00:01:27,040 --> 00:01:29,280 Speaker 1: we curate all kinds of weird science that we stumble 29 00:01:29,360 --> 00:01:32,679 Speaker 1: across throughout the day on the internet. Uh, just yesterday 30 00:01:32,920 --> 00:01:35,760 Speaker 1: I found some pretty weird stuff about that there's an 31 00:01:35,800 --> 00:01:40,240 Speaker 1: exo planet that apparently rains molten iron. Did you guys 32 00:01:40,280 --> 00:01:42,760 Speaker 1: hear about this? Yeah? Put it up on our Facebook 33 00:01:42,800 --> 00:01:45,640 Speaker 1: page there. That's pretty cool. Yeah. So if you want to, 34 00:01:45,680 --> 00:01:48,040 Speaker 1: you know, keep abreast of all the kind of cool 35 00:01:48,080 --> 00:01:50,240 Speaker 1: weird science things that are happening, and check us out 36 00:01:50,240 --> 00:01:54,200 Speaker 1: on there, and don't forget On Friday's at noon Eastern 37 00:01:54,280 --> 00:01:57,360 Speaker 1: Standard time, we will be on the periscope to live 38 00:01:57,520 --> 00:02:00,520 Speaker 1: answer your questions and you know chat give you a 39 00:02:00,560 --> 00:02:03,120 Speaker 1: little look behind the scenes here at the Stuff to 40 00:02:03,120 --> 00:02:05,880 Speaker 1: Blow your Mind headquarters. Also Stuff to Blow your Mind 41 00:02:05,880 --> 00:02:08,640 Speaker 1: dot com. That is another place where you can find 42 00:02:08,720 --> 00:02:11,480 Speaker 1: all of our podcasts, all of our videos, and the 43 00:02:11,680 --> 00:02:16,360 Speaker 1: amazing blog posts that mainly Robert composes about things from 44 00:02:16,919 --> 00:02:21,160 Speaker 1: electronic music to monsters and cat busses. Right, oh yeah, yeah, 45 00:02:21,440 --> 00:02:25,240 Speaker 1: all that good stuff. All right, So let's let's jump 46 00:02:25,320 --> 00:02:28,000 Speaker 1: right back into it here and talk about the two 47 00:02:28,040 --> 00:02:32,880 Speaker 1: thousand fifteen Ignoble Prize for medicine. Medicine, Well, that was 48 00:02:32,919 --> 00:02:35,799 Speaker 1: one of the ones that I looked into, and it 49 00:02:35,840 --> 00:02:38,600 Speaker 1: was actually for a collection of four studies. So there 50 00:02:38,600 --> 00:02:41,080 Speaker 1: were three by one recipient and then one by a 51 00:02:41,120 --> 00:02:44,520 Speaker 1: different group, and they were all studying the scientific consequences 52 00:02:44,600 --> 00:02:50,160 Speaker 1: of intense kissing and other intimate interpersonal activity. So you 53 00:02:50,240 --> 00:02:53,119 Speaker 1: can see find what the ladder was. Yeah, well we'll 54 00:02:53,120 --> 00:02:55,440 Speaker 1: get into that. No, but you can see why this 55 00:02:55,560 --> 00:02:59,600 Speaker 1: appealed to the Ignoble committee obviously because it involves making 56 00:02:59,639 --> 00:03:05,560 Speaker 1: out and and sexy sex. So because therefore the studies, 57 00:03:05,600 --> 00:03:07,760 Speaker 1: my attention is going to have to be rather summary 58 00:03:07,880 --> 00:03:11,520 Speaker 1: on these. But the basics of the first group, and 59 00:03:11,560 --> 00:03:15,000 Speaker 1: I'm I'm going to try to say they're beautiful Slovakian names. 60 00:03:15,000 --> 00:03:18,000 Speaker 1: I apologize to these people if I pronounced them horribly. 61 00:03:18,480 --> 00:03:24,239 Speaker 1: But the first group included Yaroslava, Georgia Kova, Peter Cheleich, 62 00:03:25,200 --> 00:03:34,480 Speaker 1: Natalia Commodiova, Tatiana said, latch Cova, Gabriella Repisca, Barbara Vizenia, 63 00:03:34,680 --> 00:03:37,800 Speaker 1: and Gabrielle Minarik. And there they are, and they were 64 00:03:37,880 --> 00:03:42,280 Speaker 1: given the award for their paper Prevalence and Persistence of 65 00:03:42,360 --> 00:03:47,040 Speaker 1: male DNA identified in mixed saliva samples after intense kissing 66 00:03:47,720 --> 00:03:52,800 Speaker 1: in Forensic Science International Genetics. So their study was an 67 00:03:52,840 --> 00:03:57,600 Speaker 1: investigation of how much foreign DNA you could expect to 68 00:03:57,600 --> 00:04:01,480 Speaker 1: find in a woman's mouth after she'd been participating in 69 00:04:01,560 --> 00:04:05,720 Speaker 1: some quote intense kissing. So here's how the study went. 70 00:04:05,760 --> 00:04:08,600 Speaker 1: They got twelve pairs of volunteers to try out some 71 00:04:08,680 --> 00:04:12,200 Speaker 1: of this kissing and see how it goes. And they 72 00:04:12,360 --> 00:04:17,279 Speaker 1: practiced where the volunteers couples or were they just you know, 73 00:04:17,320 --> 00:04:21,400 Speaker 1: I mean, I think they were couples. So they practiced 74 00:04:21,520 --> 00:04:25,000 Speaker 1: some intense kissing behavior for about two minutes, and then 75 00:04:25,080 --> 00:04:29,599 Speaker 1: afterwards the scientists collected saliva samples from the women in 76 00:04:29,640 --> 00:04:32,120 Speaker 1: the couples to look for the presence of male DNA 77 00:04:32,720 --> 00:04:37,040 Speaker 1: with modern highly sensitive molecular methods of DNA detection like 78 00:04:37,839 --> 00:04:42,240 Speaker 1: multiplex y str PCR, I gotta admit I don't know 79 00:04:42,320 --> 00:04:44,920 Speaker 1: the first thing about what that is. But I did 80 00:04:45,000 --> 00:04:46,839 Speaker 1: do a little poking around. It appears to be a 81 00:04:46,920 --> 00:04:51,360 Speaker 1: real thing. That is a method for detecting the presence 82 00:04:51,400 --> 00:04:55,159 Speaker 1: of DNA and and for sampling it. So the researchers 83 00:04:55,160 --> 00:04:58,200 Speaker 1: found that they could show the presence of male DNA 84 00:04:58,279 --> 00:05:00,760 Speaker 1: and female to live at ten men. It's after the 85 00:05:00,839 --> 00:05:04,320 Speaker 1: intense kissing had stopped, and even up to sixty minutes 86 00:05:04,400 --> 00:05:06,880 Speaker 1: after the kissing in some cases. So one thing like 87 00:05:06,920 --> 00:05:10,839 Speaker 1: I'm inherently curious about right away is why is it 88 00:05:10,920 --> 00:05:14,800 Speaker 1: specifically male to female kissing and is there a difference 89 00:05:14,960 --> 00:05:18,880 Speaker 1: in homosexual kissing. I don't know about that, But they 90 00:05:19,200 --> 00:05:21,880 Speaker 1: did find that they might not be able to say 91 00:05:22,000 --> 00:05:25,919 Speaker 1: sixty minutes after the kissing was over who the male 92 00:05:26,080 --> 00:05:28,680 Speaker 1: who was kissing the person was, but they can say 93 00:05:28,760 --> 00:05:32,160 Speaker 1: this is a male was male, and they are focusing 94 00:05:32,240 --> 00:05:35,320 Speaker 1: on mail DNA DNA and the female mouth and not 95 00:05:35,400 --> 00:05:41,280 Speaker 1: the reverse the female. About Slovakian French kissing, well, in 96 00:05:41,520 --> 00:05:43,160 Speaker 1: a less funny way, I think it has to do 97 00:05:43,240 --> 00:05:46,040 Speaker 1: with the potential application of this study, which is that 98 00:05:46,080 --> 00:05:49,919 Speaker 1: it would be potentially useful in forensic science that in 99 00:05:50,000 --> 00:05:53,320 Speaker 1: cases of sexual assault that involved mouth to mouth context. 100 00:05:53,400 --> 00:05:56,560 Speaker 1: So if a saliva sample can be collected quickly enough, 101 00:05:56,600 --> 00:05:59,720 Speaker 1: it may contain useful DNA evidence that could be used 102 00:05:59,720 --> 00:06:03,560 Speaker 1: against the perpetrator of sexual violence. Gotcha. And and you know, 103 00:06:03,720 --> 00:06:06,600 Speaker 1: it's more likely that those perpetrators are going to be male, 104 00:06:06,720 --> 00:06:09,719 Speaker 1: so that's probably why they're zeroing in on that. Yes, Okay, 105 00:06:09,920 --> 00:06:11,680 Speaker 1: this is one of those studies where to kind of 106 00:06:11,680 --> 00:06:13,839 Speaker 1: get into the whole wines it ridiculous, finds it funny. 107 00:06:13,920 --> 00:06:16,240 Speaker 1: It's it's kind of like a joke that is funny 108 00:06:16,279 --> 00:06:18,680 Speaker 1: on the surface, and then when you go to explain 109 00:06:18,800 --> 00:06:22,960 Speaker 1: the joke, you realize that it's actually really serious. Yeah, 110 00:06:22,480 --> 00:06:26,239 Speaker 1: and getting kind of dark. Yeah, But I mean, anything 111 00:06:26,279 --> 00:06:30,320 Speaker 1: that could help help bring sexual predators to justice, that's 112 00:06:30,320 --> 00:06:33,120 Speaker 1: certainly a good thing. Yeah. Absolutely, And I'm kind of 113 00:06:33,160 --> 00:06:38,800 Speaker 1: fascinated by the way that they're isolating this stuff too. Yeah. Yeah, 114 00:06:38,839 --> 00:06:41,600 Speaker 1: I don't know much about the testing methods that they used, 115 00:06:41,640 --> 00:06:43,240 Speaker 1: but it seemed to be that they were just they 116 00:06:43,240 --> 00:06:47,680 Speaker 1: were applying modern like the best equipment and best procedures 117 00:06:47,720 --> 00:06:50,279 Speaker 1: that we have today, looking for the presence of DNA 118 00:06:50,400 --> 00:06:53,120 Speaker 1: to saliva, which was something that hadn't been done yet. 119 00:06:54,760 --> 00:06:57,080 Speaker 1: But I said, there are more studies. Yeah, that is 120 00:06:57,080 --> 00:07:00,880 Speaker 1: certainly not all in the kissing and interpersonal contact category, 121 00:07:01,040 --> 00:07:04,560 Speaker 1: because there are also three studies by Dr how do 122 00:07:04,640 --> 00:07:08,080 Speaker 1: You make Chimada, who operates an allergy clinic in the 123 00:07:08,120 --> 00:07:11,880 Speaker 1: Osaka Prefecture in Japan, and according to an article I 124 00:07:11,880 --> 00:07:15,520 Speaker 1: read in the Japan Times, Kamata quote is continuing to 125 00:07:15,600 --> 00:07:19,080 Speaker 1: find a more natural method to relieve allergy symptoms for 126 00:07:19,160 --> 00:07:23,000 Speaker 1: his patients without the use of steroids or prescription skin creams. 127 00:07:23,600 --> 00:07:26,040 Speaker 1: So like, he seems to be a guy who's interested 128 00:07:26,080 --> 00:07:29,360 Speaker 1: in finding ways to help people with bad allergies get 129 00:07:29,400 --> 00:07:34,280 Speaker 1: some relief without so much drugs and medication. But do 130 00:07:34,320 --> 00:07:38,600 Speaker 1: you guys have bad allergies? I do, Yeah, not so much. Yeah, 131 00:07:38,640 --> 00:07:41,920 Speaker 1: I don't really either. So I my wife has very 132 00:07:42,320 --> 00:07:45,840 Speaker 1: bad allergies, and so I can sympathize with her pain 133 00:07:46,000 --> 00:07:49,720 Speaker 1: and understand what it is like to be out in 134 00:07:49,760 --> 00:07:52,320 Speaker 1: the spring and want to, you know, have a have 135 00:07:52,440 --> 00:07:57,040 Speaker 1: a full body bubble what they call it, yeah, to 136 00:07:57,040 --> 00:08:00,760 Speaker 1: to live separate from the world of nature. But according 137 00:08:00,840 --> 00:08:04,280 Speaker 1: to his research, he has found some very promising leads 138 00:08:04,400 --> 00:08:09,280 Speaker 1: on natural methods for for getting some allergy relief, and 139 00:08:09,400 --> 00:08:12,200 Speaker 1: they involve putting on your copy of Selene Dion's my 140 00:08:12,240 --> 00:08:16,280 Speaker 1: heart will go on, but it is not the music itself. 141 00:08:16,400 --> 00:08:18,400 Speaker 1: That is just a means to an end. So I'll 142 00:08:18,600 --> 00:08:21,760 Speaker 1: briefly mention the reported results of three studies. The first 143 00:08:21,920 --> 00:08:26,800 Speaker 1: was called Kissing reduces allergic skin wheel responses and plasma 144 00:08:26,840 --> 00:08:31,800 Speaker 1: neurotrophin levels. So here's how it goes. You've got three groups. 145 00:08:31,800 --> 00:08:34,680 Speaker 1: You've got thirty normal subjects who are control group. They 146 00:08:35,000 --> 00:08:38,000 Speaker 1: don't have any bad allergies. You have thirty people with 147 00:08:38,080 --> 00:08:41,480 Speaker 1: allergic rhinitis a are also known as hay fever or 148 00:08:41,559 --> 00:08:45,119 Speaker 1: just straight up allergies. When people say I have allergies, 149 00:08:45,559 --> 00:08:47,839 Speaker 1: this is what they're talking about. And then you've got 150 00:08:47,840 --> 00:08:52,280 Speaker 1: thirty people with a topic dermatitis also known as eggs ema. 151 00:08:52,559 --> 00:08:55,120 Speaker 1: And of the latter two groups, all the patients are 152 00:08:55,160 --> 00:08:58,760 Speaker 1: allergic to Japanese cedar pollen and the house dust might 153 00:08:59,120 --> 00:09:02,280 Speaker 1: and commodically that all of the patients quote do not 154 00:09:02,559 --> 00:09:06,360 Speaker 1: kiss habitually. This seemed to be a point he was making. 155 00:09:06,600 --> 00:09:09,200 Speaker 1: I think it was an assumption about Japanese culture, and 156 00:09:09,240 --> 00:09:12,640 Speaker 1: that like kissing is UH is at least believed to 157 00:09:12,679 --> 00:09:15,440 Speaker 1: be not as prevalent in Japanese culture as it is 158 00:09:15,480 --> 00:09:17,560 Speaker 1: in lots of other cultures. I don't know the extent 159 00:09:17,600 --> 00:09:21,000 Speaker 1: to which that's true today, but that seemed to be 160 00:09:21,040 --> 00:09:23,839 Speaker 1: an assumption going into his research. That may well be true. 161 00:09:24,559 --> 00:09:28,320 Speaker 1: That seems to match up with some materials and research 162 00:09:28,360 --> 00:09:30,160 Speaker 1: in the past. I mean, it gets kind of complicated 163 00:09:30,200 --> 00:09:35,200 Speaker 1: because you have all these varying cultures and kissing traditions, um, 164 00:09:35,240 --> 00:09:38,000 Speaker 1: and there's a certain amount of universality, but then there's 165 00:09:38,480 --> 00:09:40,560 Speaker 1: then there's not in some areas, and then you have 166 00:09:40,640 --> 00:09:43,480 Speaker 1: Western culture rolling into these areas, and you have Western 167 00:09:44,000 --> 00:09:48,120 Speaker 1: ideals and images of individuals engaging in these passionate kisses, 168 00:09:48,120 --> 00:09:51,120 Speaker 1: and that changes everything. Yeah. Um, so so that was 169 00:09:51,160 --> 00:09:53,679 Speaker 1: what he said, at least they do not kiss habitually. 170 00:09:53,960 --> 00:09:57,360 Speaker 1: And he's Japanese, yes he is. And so the subjects 171 00:09:57,400 --> 00:09:59,880 Speaker 1: went into a room with their kissing partner of choic 172 00:10:00,240 --> 00:10:04,080 Speaker 1: and they quote kissed freely for thirty minutes while listening 173 00:10:04,120 --> 00:10:08,600 Speaker 1: to soft music. And then so the patients underwent the 174 00:10:08,720 --> 00:10:12,720 Speaker 1: standard allergists skin prick tests. You'll ever done these, prick 175 00:10:12,760 --> 00:10:14,920 Speaker 1: your skin to see if you get a wheel response 176 00:10:15,000 --> 00:10:17,640 Speaker 1: and raised red area, and they did mine. They did, 177 00:10:17,720 --> 00:10:20,080 Speaker 1: like the whole part of my upper left arm, and 178 00:10:20,120 --> 00:10:22,760 Speaker 1: then all across the upper part of my back and 179 00:10:22,800 --> 00:10:25,480 Speaker 1: then they basically prick you with the thing that you're 180 00:10:25,520 --> 00:10:28,160 Speaker 1: allergic to, and a wheel will rise. If you want 181 00:10:28,200 --> 00:10:30,520 Speaker 1: to come in, have a crab claw and a jab 182 00:10:30,679 --> 00:10:33,960 Speaker 1: in your arm and then make it. Yeah, it's just 183 00:10:34,040 --> 00:10:36,800 Speaker 1: like a cockroach. They're just smashing a cockroach in your 184 00:10:37,440 --> 00:10:41,680 Speaker 1: across the crab claw. If you're for shellfish, yeah, okay, right, yeah, 185 00:10:41,679 --> 00:10:44,120 Speaker 1: So they got the standard skin wheel response test, the 186 00:10:44,320 --> 00:10:48,240 Speaker 1: skin prick test before and after the kissing sessions, and 187 00:10:48,360 --> 00:10:52,160 Speaker 1: Chimodic claims that the half hour of kissing quote significantly 188 00:10:52,280 --> 00:10:57,840 Speaker 1: reduced wheel responses for both the DustMite allergen and the 189 00:10:57,920 --> 00:11:02,320 Speaker 1: Japanese cedar pollen allergen, and though it did not reduce 190 00:11:02,400 --> 00:11:06,120 Speaker 1: responses for the pure inflammatory agent histamine. So if you 191 00:11:06,200 --> 00:11:10,880 Speaker 1: just gave people histamine directly, that the kissing did not help, well, 192 00:11:10,920 --> 00:11:14,000 Speaker 1: does make sense, right, Because you're you're mingling your immune 193 00:11:14,040 --> 00:11:17,839 Speaker 1: systems a little bit, You're you're mingling your microbiomes, so 194 00:11:19,240 --> 00:11:21,320 Speaker 1: seems like one would rub off on the other. You'd 195 00:11:21,320 --> 00:11:23,720 Speaker 1: have some of the soldiers would would take up with 196 00:11:23,760 --> 00:11:25,719 Speaker 1: the news. Well, I guess I don't know if I 197 00:11:25,720 --> 00:11:29,120 Speaker 1: should be surprised by this or not. I'm kind of curious, 198 00:11:29,200 --> 00:11:32,240 Speaker 1: since they gave the test before and after, if they 199 00:11:32,280 --> 00:11:35,240 Speaker 1: just gave it before and then did nothing and like 200 00:11:35,280 --> 00:11:37,000 Speaker 1: they didn't make out, and then they gave it to 201 00:11:37,040 --> 00:11:40,600 Speaker 1: them again afterwards, if they would still have the same results. 202 00:11:40,800 --> 00:11:43,120 Speaker 1: You know what I mean? Because interesting question because you're 203 00:11:43,160 --> 00:11:47,120 Speaker 1: you're getting an exposure in your system already, right, and 204 00:11:47,160 --> 00:11:51,400 Speaker 1: then thirty minutes go by, and then that you're exposed 205 00:11:51,400 --> 00:11:54,040 Speaker 1: and tested again. So I wonder just how how much 206 00:11:54,120 --> 00:11:58,679 Speaker 1: naturally your body would would react less to the inflammation. Yeah. 207 00:11:58,720 --> 00:12:01,240 Speaker 1: So anyway, after or the end of that, come out 208 00:12:01,240 --> 00:12:04,680 Speaker 1: of concluded that kissing quote might have some implication in 209 00:12:04,720 --> 00:12:08,720 Speaker 1: the study of neuroimmunology in allergic patients. And then there 210 00:12:08,760 --> 00:12:10,800 Speaker 1: were a couple more studies that were pretty much along 211 00:12:10,840 --> 00:12:13,440 Speaker 1: the same lines. The second one was called reduction of 212 00:12:13,480 --> 00:12:17,840 Speaker 1: allergic skin wheel responses by sexual intercourse in allergic This 213 00:12:17,920 --> 00:12:21,120 Speaker 1: guy is like the mad scientists. He's just he's just 214 00:12:21,160 --> 00:12:23,240 Speaker 1: coming up with reasons so he can watch people make 215 00:12:23,280 --> 00:12:27,160 Speaker 1: out and have sex. Oh. I don't think he was watching. Oh, 216 00:12:27,280 --> 00:12:31,720 Speaker 1: but then clearly the data is erroneous. Uh. The study 217 00:12:31,760 --> 00:12:34,839 Speaker 1: found almost exactly the same thing, except to replace thirty 218 00:12:34,880 --> 00:12:41,680 Speaker 1: mins of kissing with some sexual intercourse um in allergic people, 219 00:12:41,800 --> 00:12:45,400 Speaker 1: it reduced skin wheel responses for Japanese cedar pollen and 220 00:12:45,559 --> 00:12:48,240 Speaker 1: dust mites, but not for pure histamines, So the same 221 00:12:48,280 --> 00:12:52,320 Speaker 1: pattern as the other one. And in normal non allergic people, 222 00:12:52,520 --> 00:12:57,360 Speaker 1: sex didn't change anything about skin wheel responses. Okay, so 223 00:12:57,520 --> 00:13:00,760 Speaker 1: there you got it. What's what's dr creepy? Third study? 224 00:13:00,920 --> 00:13:03,520 Speaker 1: The third one, it's it's pretty much along the same lines. 225 00:13:03,679 --> 00:13:07,880 Speaker 1: It's kissing selectively decreases allergen specific i g E production 226 00:13:08,040 --> 00:13:11,280 Speaker 1: in a topic patients. Again, this is looking at at 227 00:13:11,360 --> 00:13:15,760 Speaker 1: like skin responses like eggs ama and he found essentially 228 00:13:15,840 --> 00:13:20,000 Speaker 1: that kissing could alleviate some allergic symptoms by the decrease 229 00:13:20,120 --> 00:13:25,720 Speaker 1: of what he calls allergen specific i GE production. So 230 00:13:25,720 --> 00:13:28,840 Speaker 1: so basically, the the thrust of this guy's work in 231 00:13:28,880 --> 00:13:33,920 Speaker 1: this area is that is that kissing and other intimate 232 00:13:34,240 --> 00:13:38,920 Speaker 1: interpersonal contact may help with your allergies. Okay, all right, Well, 233 00:13:39,040 --> 00:13:41,520 Speaker 1: next time I'm having problems, I guess I'll have to 234 00:13:42,120 --> 00:13:45,400 Speaker 1: address that with my wife. But I'd rather than take 235 00:13:45,440 --> 00:13:49,720 Speaker 1: a lauratodin or whatever I mean, regular paces or use 236 00:13:49,760 --> 00:13:52,480 Speaker 1: my name. I wonder how many minutes of kissing it 237 00:13:52,520 --> 00:13:56,760 Speaker 1: takes and at least apparently well no, maybe maybe it 238 00:13:56,760 --> 00:13:59,880 Speaker 1: would have been the same with ten minutes. Who knows, uh? 239 00:14:00,160 --> 00:14:03,040 Speaker 1: And so okay, so if it takes like thirty minutes 240 00:14:03,040 --> 00:14:04,839 Speaker 1: of kissing or the people, are there some people who 241 00:14:04,840 --> 00:14:07,000 Speaker 1: would be like thirty minutes of kissing, I don't have 242 00:14:07,080 --> 00:14:12,640 Speaker 1: time for that. I'll just take the drugs. Yeah, exactly right. 243 00:14:14,800 --> 00:14:17,160 Speaker 1: That's a I don't know, it's a great commercial for 244 00:14:17,240 --> 00:14:19,480 Speaker 1: like an anti histamine. It's just like, would you do 245 00:14:19,520 --> 00:14:22,800 Speaker 1: you really have time to kiss someone for thirty minutes? 246 00:14:23,080 --> 00:14:25,440 Speaker 1: Or would you just like to drink this night? Well 247 00:14:25,560 --> 00:14:31,640 Speaker 1: or whatever? I'll never sleep again. Well, this study is 248 00:14:31,680 --> 00:14:34,320 Speaker 1: a makes a great segue. I see now why the 249 00:14:34,360 --> 00:14:39,400 Speaker 1: ignoble UH committee put these next to one another. Nice 250 00:14:39,760 --> 00:14:45,600 Speaker 1: transition segue into the mathematics prize, which is all about UH. 251 00:14:45,640 --> 00:14:48,800 Speaker 1: A guy named Mulai Ismail the blood Thirsty, who I 252 00:14:48,840 --> 00:14:51,200 Speaker 1: had not heard of before this. No, I was not 253 00:14:51,240 --> 00:14:54,440 Speaker 1: familiar with this character either. I mean, he sounds impressive. 254 00:14:54,760 --> 00:14:57,880 Speaker 1: Was he thirsty for blood? He was? Indeed, and I 255 00:14:57,920 --> 00:15:01,680 Speaker 1: will tell you all about him. The paper itself was 256 00:15:01,720 --> 00:15:07,680 Speaker 1: written by E. Obern Soccer and K. Grammar. In the 257 00:15:07,720 --> 00:15:11,080 Speaker 1: case the studies called the case of mulai Ismail fact 258 00:15:11,160 --> 00:15:17,040 Speaker 1: or fancy and this was also in p L O. S. One. Uh. So, Okay, 259 00:15:17,160 --> 00:15:21,000 Speaker 1: the basics here are that these researchers developed a computer 260 00:15:21,120 --> 00:15:25,200 Speaker 1: simulation to program to determine if the myth of mulai 261 00:15:25,360 --> 00:15:30,200 Speaker 1: Ismail having actually sired eight hundred and eighty eight children, 262 00:15:30,320 --> 00:15:33,000 Speaker 1: as per the Guinness Book of World Records was true. 263 00:15:33,680 --> 00:15:36,520 Speaker 1: So the Guinness Book of World Record says he sired 264 00:15:36,560 --> 00:15:38,920 Speaker 1: eight hundred and eight children. These people want to find 265 00:15:38,960 --> 00:15:41,920 Speaker 1: out if it's even physically possible for him to do that. 266 00:15:42,680 --> 00:15:45,360 Speaker 1: They found that he could, and not only that, but 267 00:15:45,480 --> 00:15:47,680 Speaker 1: he could have much more than eight hundred and eighty 268 00:15:47,720 --> 00:15:51,680 Speaker 1: eight children during his lifetime. So he's really an underachiever. Well, 269 00:15:51,760 --> 00:15:54,640 Speaker 1: actually no, it turns out that there's reports that he 270 00:15:54,720 --> 00:15:57,920 Speaker 1: had more. Uh. They also narrowed down how many times 271 00:15:57,960 --> 00:16:00,560 Speaker 1: a day he would have to copulate and how many 272 00:16:00,680 --> 00:16:03,280 Speaker 1: women would need to be part of his harem for 273 00:16:03,400 --> 00:16:07,600 Speaker 1: this whole operation to work. Uh. And they used different models. 274 00:16:07,640 --> 00:16:10,840 Speaker 1: The first model was a random mating pool where he 275 00:16:10,960 --> 00:16:15,520 Speaker 1: had unrest unrestricted access to women. The second model, though, 276 00:16:15,760 --> 00:16:19,840 Speaker 1: it was a quote restricted harem pool, in which basically 277 00:16:19,920 --> 00:16:23,160 Speaker 1: they took account for as women got pregnant, they would 278 00:16:23,200 --> 00:16:26,520 Speaker 1: be removed from the harem for at least eighteen months 279 00:16:26,560 --> 00:16:29,760 Speaker 1: to account for their pregnancy and lack patient times. And 280 00:16:29,840 --> 00:16:32,880 Speaker 1: then they used three different models for looking at the 281 00:16:33,080 --> 00:16:36,760 Speaker 1: likelihood of conception across the female cycle. That's they're phrasing, 282 00:16:36,840 --> 00:16:40,680 Speaker 1: not mine, but basically the ideas they based these these 283 00:16:40,760 --> 00:16:44,480 Speaker 1: models in different conditions in which ovulation might happen, or 284 00:16:44,680 --> 00:16:48,120 Speaker 1: like whether or not the sperm would be potent, or 285 00:16:48,280 --> 00:16:52,000 Speaker 1: whether or not the birth control methods somehow being enacted here, right, 286 00:16:52,560 --> 00:16:54,680 Speaker 1: So the three models that they used, or the Wilcox 287 00:16:54,800 --> 00:16:58,200 Speaker 1: Weinberg model, the Barrett Martial model, and then the Joe 288 00:16:58,320 --> 00:17:02,000 Speaker 1: shiel I Believe model UH. And they found with these 289 00:17:02,040 --> 00:17:05,359 Speaker 1: three models that roughly UH it would take one point 290 00:17:05,600 --> 00:17:08,160 Speaker 1: four three times per day with the first one, one 291 00:17:08,240 --> 00:17:10,800 Speaker 1: point six three times per day with the second one, 292 00:17:11,080 --> 00:17:14,320 Speaker 1: and only point eight three times of copulation per day 293 00:17:14,400 --> 00:17:17,680 Speaker 1: with the third one. So they took into account things 294 00:17:17,760 --> 00:17:22,399 Speaker 1: like menstruation being a taboo or there's an idea that's 295 00:17:22,400 --> 00:17:25,920 Speaker 1: been reported on another research that people are more attracted 296 00:17:26,000 --> 00:17:29,720 Speaker 1: to one another during opulation periods UH. And and of 297 00:17:29,800 --> 00:17:33,399 Speaker 1: course the viability of his sperm decreasing per year as 298 00:17:33,440 --> 00:17:36,560 Speaker 1: he got older. They added all this stuff into their 299 00:17:36,560 --> 00:17:41,159 Speaker 1: computer simulation model UH, and even when restricted to the 300 00:17:41,280 --> 00:17:44,840 Speaker 1: second model UH, they found that he would be able 301 00:17:44,920 --> 00:17:48,520 Speaker 1: to sire the fabled number of offspring. In fact, he 302 00:17:48,560 --> 00:17:51,280 Speaker 1: would be able to sire at least one thousand, one 303 00:17:51,359 --> 00:17:55,600 Speaker 1: hundred and seventy one children UH. And that his harem, 304 00:17:55,880 --> 00:17:58,240 Speaker 1: even though it was reported to be five hundred and 305 00:17:58,359 --> 00:18:01,960 Speaker 1: four women strong, it wouldn't need to be much larger 306 00:18:02,040 --> 00:18:06,159 Speaker 1: than somewhere between sixty to ten women for him to 307 00:18:06,240 --> 00:18:09,720 Speaker 1: achieve this UH. That it might have been that he 308 00:18:10,080 --> 00:18:12,600 Speaker 1: actually did have a harem that was five hundred people, 309 00:18:13,440 --> 00:18:16,320 Speaker 1: but that that was for other reasons of potentially he 310 00:18:16,359 --> 00:18:18,400 Speaker 1: wanted to keep women out of the reach of other 311 00:18:18,480 --> 00:18:21,600 Speaker 1: men and their reproductive potential right, so that he was 312 00:18:21,960 --> 00:18:27,399 Speaker 1: he was sort of fathering the next generation. It was 313 00:18:27,560 --> 00:18:31,359 Speaker 1: probably rare. They also found for each woman in the 314 00:18:31,760 --> 00:18:35,800 Speaker 1: harem to have had intercourse with him more than once 315 00:18:36,520 --> 00:18:38,560 Speaker 1: because of the large amount of women that were in 316 00:18:38,640 --> 00:18:42,240 Speaker 1: the harem. So you know, you you essentially you have 317 00:18:42,880 --> 00:18:45,800 Speaker 1: intercourse with him, you get pregnant, you have a child, 318 00:18:46,480 --> 00:18:50,320 Speaker 1: there's a lactation period, and then When the concubines within 319 00:18:50,440 --> 00:18:54,840 Speaker 1: the Harem reached the age of thirty, they were kicked 320 00:18:54,840 --> 00:18:57,080 Speaker 1: out isn't the right word, but they weren't part of 321 00:18:57,119 --> 00:19:00,240 Speaker 1: the Harem anymore. He didn't want anybody over the age 322 00:19:00,280 --> 00:19:04,000 Speaker 1: of thirty in his hair. Wow. Yeah, I haven't even 323 00:19:04,000 --> 00:19:06,119 Speaker 1: gotten to why they call him the bloodthirsty yet. This 324 00:19:06,280 --> 00:19:10,879 Speaker 1: is just all about his h sexual conquests. So uh, 325 00:19:11,400 --> 00:19:16,160 Speaker 1: Sheriff Iron. He's referred to as the Sheriff Iron Emperor 326 00:19:16,240 --> 00:19:19,639 Speaker 1: of Morocco Moulay Ishmael the blood Thirsty. He was in 327 00:19:19,720 --> 00:19:22,800 Speaker 1: power from sixteen seventy two to seventeen twenty seven and 328 00:19:22,880 --> 00:19:27,200 Speaker 1: became emperor when he was twenty five. So he was 329 00:19:27,280 --> 00:19:32,280 Speaker 1: the first great Sultan of the Moroccan Aloe Wheat dynasty. Okay, 330 00:19:32,720 --> 00:19:36,400 Speaker 1: and sheriff Ian means that he claimed to be descended 331 00:19:36,560 --> 00:19:40,159 Speaker 1: from Mohammed, the founder of Islam. His rule was the 332 00:19:40,280 --> 00:19:43,040 Speaker 1: longest in Moroccan history, and towards the end he had 333 00:19:43,080 --> 00:19:45,760 Speaker 1: an army of a hundred and fifty thousand men. He 334 00:19:45,840 --> 00:19:49,160 Speaker 1: supposedly started his reign by mounting the heads of four 335 00:19:49,280 --> 00:19:53,639 Speaker 1: hundred enemy chiefs at the city of Fez. Over fifty 336 00:19:53,720 --> 00:19:58,760 Speaker 1: five years, He's estimated to have killed thirty thousand people. 337 00:19:59,160 --> 00:20:01,600 Speaker 1: And that's not including those in battle. This is just 338 00:20:02,000 --> 00:20:06,000 Speaker 1: at his whimsy. He killed people, Okay, okay, and I'll 339 00:20:06,000 --> 00:20:08,600 Speaker 1: give you some examples of that. Any women who were 340 00:20:08,640 --> 00:20:13,440 Speaker 1: suspected of adultery were strangled personally by him. So any 341 00:20:13,520 --> 00:20:15,600 Speaker 1: any of his concubines or any of his wives who 342 00:20:15,720 --> 00:20:19,720 Speaker 1: he suspected, he strangled them or their breasts were cut 343 00:20:19,760 --> 00:20:23,399 Speaker 1: off or their teeth were torn out. WHOA. This included 344 00:20:23,720 --> 00:20:26,359 Speaker 1: former concubines. So even if you hit the age of 345 00:20:26,440 --> 00:20:28,800 Speaker 1: thirty and were allowed to leave the harem, you were 346 00:20:28,840 --> 00:20:32,280 Speaker 1: still not allowed to have intercourse with any other man. 347 00:20:32,760 --> 00:20:35,359 Speaker 1: So he, you know, committed violence against all these women. 348 00:20:35,480 --> 00:20:39,720 Speaker 1: Just a real winner. Oh yeah, he's a real cheery individual. 349 00:20:40,280 --> 00:20:43,200 Speaker 1: Any man who looked at one of his wives. He 350 00:20:43,240 --> 00:20:46,480 Speaker 1: had four wives, and then the five concubines. But any 351 00:20:46,520 --> 00:20:49,120 Speaker 1: man who looked at the wives or the concubines were 352 00:20:49,160 --> 00:20:52,120 Speaker 1: punished by the death penalty. I don't think he physically 353 00:20:52,200 --> 00:20:54,560 Speaker 1: did it himself as he did with the women, but 354 00:20:54,720 --> 00:20:59,000 Speaker 1: he was bloodthirsty, as the name you know implies. So 355 00:20:59,760 --> 00:21:02,639 Speaker 1: they looked at this report, the researchers that was written 356 00:21:02,720 --> 00:21:06,520 Speaker 1: by a French diplomat named Dominique bus Not from seventeen 357 00:21:06,560 --> 00:21:10,040 Speaker 1: o four and at the time he was visiting. He 358 00:21:10,280 --> 00:21:13,520 Speaker 1: said that Moulay had six hundred sons with his four 359 00:21:13,640 --> 00:21:18,080 Speaker 1: wives and five hundred concubines. However, only the daughters from 360 00:21:18,160 --> 00:21:21,359 Speaker 1: his four wives were allowed to live. Those from the 361 00:21:21,440 --> 00:21:26,040 Speaker 1: concubines were suffocated by the midwives at birth, so he 362 00:21:26,200 --> 00:21:30,760 Speaker 1: only wanted male offspring from the concubines. In total, uh, 363 00:21:31,280 --> 00:21:35,000 Speaker 1: even you know, including all of the children that were uh, 364 00:21:35,640 --> 00:21:38,720 Speaker 1: you know, supposedly suffocated by these midwives, that comes down 365 00:21:38,800 --> 00:21:41,720 Speaker 1: to one thousand, one seventy one children in the span 366 00:21:41,800 --> 00:21:46,000 Speaker 1: of thirty two years. So why is it ridiculous? Well, 367 00:21:46,400 --> 00:21:49,520 Speaker 1: you know, what do we learn from confirming this legend 368 00:21:49,680 --> 00:21:52,720 Speaker 1: about this man's sexual prowess? Right? That seems pretty weird 369 00:21:52,760 --> 00:21:56,720 Speaker 1: that they spent all this time looking into this. Yeah. Well, 370 00:21:56,760 --> 00:22:01,200 Speaker 1: I mean, as as nasty and sensational and uh and 371 00:22:01,440 --> 00:22:04,000 Speaker 1: cruel as the details of the story are, I mean, 372 00:22:04,040 --> 00:22:06,560 Speaker 1: I guess it could be actually interesting from just a 373 00:22:07,880 --> 00:22:12,760 Speaker 1: mathematics of studying population generation perspective, Like if you want 374 00:22:12,840 --> 00:22:19,240 Speaker 1: to look at at how animal populations reproduce themselves under 375 00:22:19,280 --> 00:22:23,679 Speaker 1: certain constraints, like this one, it might be useful to you. Yeah, absolutely, 376 00:22:24,320 --> 00:22:28,240 Speaker 1: sort of like Last Man on Earth scenario or repopulating 377 00:22:28,280 --> 00:22:31,040 Speaker 1: a world that's exactly it that there, you know, there's 378 00:22:31,160 --> 00:22:33,840 Speaker 1: value to this. It's important because they're trying to figure out, 379 00:22:33,960 --> 00:22:36,640 Speaker 1: you know, given it a certain scenario, you know, where 380 00:22:36,760 --> 00:22:40,280 Speaker 1: there's only one man who can potentially do this, like 381 00:22:40,359 --> 00:22:43,760 Speaker 1: oh why the last Man quite type scenario. You know 382 00:22:43,920 --> 00:22:46,440 Speaker 1: where actually I feel like this could be useful would 383 00:22:46,480 --> 00:22:49,840 Speaker 1: be in in uh, trying to deal with endangered species, 384 00:22:50,520 --> 00:22:53,080 Speaker 1: like if you if you have a species in captivity 385 00:22:53,160 --> 00:22:56,520 Speaker 1: where you may only have like one one reproducing male 386 00:22:56,720 --> 00:22:59,880 Speaker 1: or something like, yeah, absolutely, uh. And so for compare 387 00:23:00,040 --> 00:23:02,680 Speaker 1: Sin Genghis Khan is another one that's sort of fabled 388 00:23:02,720 --> 00:23:07,760 Speaker 1: to have had many sexual encounters and subsequent offspring. Uh. 389 00:23:07,960 --> 00:23:11,399 Speaker 1: He had so many offspring in the thirteenth century that 390 00:23:12,960 --> 00:23:16,040 Speaker 1: eight percent of the men that live currently in the 391 00:23:16,160 --> 00:23:20,960 Speaker 1: region of his former empire carry almost identical why chromosomes 392 00:23:21,000 --> 00:23:25,040 Speaker 1: to his. And they've figured out that that's sixteen million descendants. 393 00:23:25,520 --> 00:23:28,399 Speaker 1: So you can see now, you know why trying to 394 00:23:28,480 --> 00:23:31,200 Speaker 1: do the math on this and and essentially developing this 395 00:23:31,359 --> 00:23:34,600 Speaker 1: program so they can they can map this out is important, 396 00:23:34,680 --> 00:23:38,240 Speaker 1: so you can figure out sort of genealogy, right, So 397 00:23:38,359 --> 00:23:41,520 Speaker 1: it is actually telling us something about how the world works, 398 00:23:41,640 --> 00:23:45,639 Speaker 1: not just about the particulars of this one really nasty 399 00:23:45,680 --> 00:23:48,080 Speaker 1: guy in history. Yeah, I mean in fact, like yes, 400 00:23:48,200 --> 00:23:51,800 Speaker 1: like the the historical narrative of him is you know, 401 00:23:52,119 --> 00:23:55,120 Speaker 1: brutal and and sad. Yeah. I had to look him 402 00:23:55,160 --> 00:23:57,760 Speaker 1: up when you were talking, just too, in the hope 403 00:23:57,840 --> 00:24:00,760 Speaker 1: that he had like a satisfying death for me. He 404 00:24:00,800 --> 00:24:04,080 Speaker 1: got his come up and did he did? You know? 405 00:24:04,119 --> 00:24:07,800 Speaker 1: I didn't see any mention of assassins slicing him to pieces. 406 00:24:07,920 --> 00:24:09,800 Speaker 1: I believe I may be wrong about this, but I 407 00:24:09,960 --> 00:24:15,280 Speaker 1: believe that his dynasty and his descendants are still in 408 00:24:15,440 --> 00:24:18,800 Speaker 1: power and Morocco, so he's the you know, progenitor of 409 00:24:18,880 --> 00:24:23,239 Speaker 1: this dynasty essentially. Yeah. Yeah, it's like real life Game 410 00:24:23,280 --> 00:24:29,280 Speaker 1: of Thrones, awful individual thinking about. Yeah, yeah, absolutely. But 411 00:24:29,440 --> 00:24:31,440 Speaker 1: you know, they've got these three different models in this 412 00:24:31,520 --> 00:24:33,800 Speaker 1: computer program now, so that they can apply that to 413 00:24:34,080 --> 00:24:36,920 Speaker 1: you know, various other circumstances. And if we're in a 414 00:24:37,000 --> 00:24:40,399 Speaker 1: circumstance where there's only one man left alive, we know 415 00:24:40,520 --> 00:24:42,760 Speaker 1: who to turn to to find out how many children 416 00:24:42,840 --> 00:24:45,840 Speaker 1: they can have to keep the human race. Going all right, well, 417 00:24:45,920 --> 00:24:47,920 Speaker 1: let's let's move on to the next one. This one 418 00:24:48,280 --> 00:24:52,719 Speaker 1: is the two fifteen Ignoble Prize and Biology. And this one, 419 00:24:52,960 --> 00:24:54,480 Speaker 1: this one was a lot of fun to look into. 420 00:24:54,600 --> 00:24:58,400 Speaker 1: The actual paper is walking like Dinosaurs Chickens with artificial 421 00:24:58,480 --> 00:25:02,120 Speaker 1: tails provide clues about non avian there apot look emotion 422 00:25:02,280 --> 00:25:10,159 Speaker 1: by Bruno Grassi, Jose Errat, diez Omar Larch, Marcurio Canalis 423 00:25:10,520 --> 00:25:14,399 Speaker 1: and Rodrigo A. Vasquez. And this was published in Plus 424 00:25:14,520 --> 00:25:20,239 Speaker 1: one two thousand fourteen. So the basics here. Um, if 425 00:25:20,280 --> 00:25:24,159 Speaker 1: you want to study dinosaur biology outside of looking at 426 00:25:24,200 --> 00:25:28,520 Speaker 1: fossil remains, modern birds are a great study a because, 427 00:25:28,560 --> 00:25:31,879 Speaker 1: of course birds are pretty much the modern dinosaur. Right there, 428 00:25:31,920 --> 00:25:36,040 Speaker 1: can see that the direct lenage the evolution. However, a 429 00:25:36,160 --> 00:25:39,960 Speaker 1: lot has changed with the with the basic anatomy since 430 00:25:40,040 --> 00:25:43,640 Speaker 1: the age of the dinosaurs. For instance, living birds maintain 431 00:25:43,760 --> 00:25:49,199 Speaker 1: an unusually crouched hind limb posture and locomotion powered by 432 00:25:49,320 --> 00:25:54,480 Speaker 1: knee flection. Meanwhile, we generally infer that non avian therapods 433 00:25:54,520 --> 00:25:58,240 Speaker 1: from the dinosaur age kept a more upright posture and 434 00:25:58,320 --> 00:26:02,399 Speaker 1: their limb movement was powered by femur retraction. So so 435 00:26:02,440 --> 00:26:06,440 Speaker 1: I'm thinking velociraptors from Charassea Park. Yeah. Yeah, so you know, 436 00:26:06,560 --> 00:26:09,879 Speaker 1: similar similar bills that is known for its scientific accuracy 437 00:26:09,960 --> 00:26:12,520 Speaker 1: by the way, Yeah, so we're talking similar bill, but 438 00:26:12,600 --> 00:26:16,360 Speaker 1: we're talking you know, different ways of motion and ultimately 439 00:26:16,400 --> 00:26:20,399 Speaker 1: different center of mass. And so in this particular joint 440 00:26:20,560 --> 00:26:23,760 Speaker 1: US Chile and study, the researchers set out to quote 441 00:26:23,880 --> 00:26:27,840 Speaker 1: experimentally manipulate the location of the center of mass and 442 00:26:27,920 --> 00:26:31,119 Speaker 1: living birds. And what better way to do that than 443 00:26:31,200 --> 00:26:34,720 Speaker 1: to raise some chickens with artificial tails stuff to their bums. 444 00:26:36,040 --> 00:26:38,439 Speaker 1: And it's and it's key here that they were they 445 00:26:38,520 --> 00:26:41,639 Speaker 1: had the artificial tail during key growth phases, so they 446 00:26:41,680 --> 00:26:43,800 Speaker 1: would they would stick it on, they stuck out on 447 00:26:43,920 --> 00:26:45,640 Speaker 1: early and they kept having to change it up because 448 00:26:45,640 --> 00:26:49,080 Speaker 1: the bird group. So for our for our audience, in 449 00:26:49,359 --> 00:26:51,880 Speaker 1: the notes, Robert has inserted a picture of Donald Duck 450 00:26:51,960 --> 00:26:54,439 Speaker 1: with a plunger on his butt. Yes, and I mean, 451 00:26:54,600 --> 00:26:57,240 Speaker 1: I can't remember exactly what Disney cartoon this is from, 452 00:26:57,400 --> 00:26:59,720 Speaker 1: but it instantly came to my mind and it it 453 00:27:00,040 --> 00:27:03,080 Speaker 1: hg is up pretty perfectly with what they actually did, 454 00:27:04,000 --> 00:27:06,639 Speaker 1: because the tail in the experiment was make them wear 455 00:27:06,640 --> 00:27:10,719 Speaker 1: a little sailor upfits sadly not, I mean, but they 456 00:27:10,800 --> 00:27:14,080 Speaker 1: did have an elastic fabric coat with Velcrow fasteners to 457 00:27:14,160 --> 00:27:16,000 Speaker 1: hold this on because it's essentially the tail was a 458 00:27:16,040 --> 00:27:20,159 Speaker 1: wooden stick set in a clay molding base that was 459 00:27:20,240 --> 00:27:23,280 Speaker 1: then held on with with Velcrow and elastic, and they 460 00:27:23,320 --> 00:27:27,920 Speaker 1: replaced it every five days. As the chickens group. But yeah, 461 00:27:27,960 --> 00:27:29,720 Speaker 1: if you remember Donald Duck with a plunger on his 462 00:27:29,840 --> 00:27:33,520 Speaker 1: but that's exactly what this consisted of. UM, so that 463 00:27:33,680 --> 00:27:36,240 Speaker 1: what But what this accomplished is that it effectively moved 464 00:27:36,280 --> 00:27:40,040 Speaker 1: the chickens center of mass towards the posterior, and the 465 00:27:40,160 --> 00:27:44,200 Speaker 1: chickens did, in fact demonstrate quote a more vertical orientation 466 00:27:44,359 --> 00:27:49,119 Speaker 1: of the femur during standing and increased femeral displacement during locomotion. 467 00:27:49,520 --> 00:27:52,879 Speaker 1: So I'd have to go back and rewatch that Disney cartoon. 468 00:27:53,480 --> 00:27:57,240 Speaker 1: But I'm assuming Donald Duck did not walk differently, UH, 469 00:27:57,400 --> 00:27:59,480 Speaker 1: that his gate didn't change, the center of mass didn't 470 00:27:59,560 --> 00:28:01,960 Speaker 1: change in the cartoon based on a plunger, but this 471 00:28:02,119 --> 00:28:06,000 Speaker 1: experiment proved that he would have. UM. This is not 472 00:28:06,200 --> 00:28:08,320 Speaker 1: all that far away from the research that we were 473 00:28:08,400 --> 00:28:12,080 Speaker 1: looking at last week on the podcast about UM why 474 00:28:12,520 --> 00:28:17,520 Speaker 1: certain early humans had short legs because it enabled their 475 00:28:17,560 --> 00:28:20,960 Speaker 1: center of gravity to be better for fighting and grappling. Yeah. Yeah, 476 00:28:21,000 --> 00:28:23,840 Speaker 1: it's very very much just about just how the creature's 477 00:28:23,840 --> 00:28:27,080 Speaker 1: position and ultimately what the creatures doing. A chicken a 478 00:28:27,160 --> 00:28:30,560 Speaker 1: modern nut, you know, domesticated chicken versus this, uh, this 479 00:28:30,720 --> 00:28:35,720 Speaker 1: ancient creature. So why is it funny? Of course, chickens 480 00:28:35,960 --> 00:28:38,400 Speaker 1: are inherently funny. We all know that just the sound 481 00:28:38,600 --> 00:28:40,680 Speaker 1: of the chicken is funny, and sticking the plunger on 482 00:28:40,760 --> 00:28:45,840 Speaker 1: ones but even funnier, especially if it's ultimately about exploring dinosaurs, 483 00:28:46,360 --> 00:28:50,880 Speaker 1: which you're generally not inherently funny, but you know, inherently cool. 484 00:28:51,200 --> 00:28:53,360 Speaker 1: Do you think there's ever a point with the research 485 00:28:53,560 --> 00:28:56,640 Speaker 1: in the Ignoble Prizes where the researchers kind of set 486 00:28:56,720 --> 00:29:00,520 Speaker 1: back one afternoon and they said, all right, let's stick 487 00:29:00,600 --> 00:29:04,000 Speaker 1: a plunger on the chicken's butt. That's essentially what they did, 488 00:29:04,800 --> 00:29:08,880 Speaker 1: and from there work our way back to write an 489 00:29:08,920 --> 00:29:13,880 Speaker 1: academic paper about this that the scientific justification of the 490 00:29:14,000 --> 00:29:16,440 Speaker 1: plunger on the butt. Yeah. I like the idea of 491 00:29:16,520 --> 00:29:19,600 Speaker 1: the researchers, like after it's after it's published and they're 492 00:29:19,640 --> 00:29:21,840 Speaker 1: feeling proud of their work. They end up what seeing 493 00:29:21,920 --> 00:29:24,320 Speaker 1: some Disney cartoons on TV and like, oh my god, 494 00:29:24,400 --> 00:29:29,440 Speaker 1: that's where that can that's anatomically inaccurate. Um, No, I 495 00:29:29,800 --> 00:29:32,360 Speaker 1: believe them. I believe that this was done in good 496 00:29:32,440 --> 00:29:35,840 Speaker 1: faith and for good scientific reasons. Yeah. Yeah, and it's 497 00:29:35,920 --> 00:29:40,720 Speaker 1: it's it ultimately helps us understand the anatomy of these 498 00:29:40,800 --> 00:29:43,880 Speaker 1: ancient creatures and help us better understand the evolution that's 499 00:29:43,920 --> 00:29:48,400 Speaker 1: taken place with this form um. And they also point 500 00:29:48,440 --> 00:29:54,640 Speaker 1: out that through careful of phenotypic manipulation of of of 501 00:29:54,920 --> 00:29:58,960 Speaker 1: our modern birds, we can actually quote open new avenues 502 00:29:59,000 --> 00:30:03,040 Speaker 1: of experimental invest stigation into unexplored faucets of dinosaur local 503 00:30:03,360 --> 00:30:08,240 Speaker 1: locomotive mechanics and energetic So so, unless I'm misunderstanding that 504 00:30:08,360 --> 00:30:11,600 Speaker 1: they're saying we can genetically engineer birds to turn back 505 00:30:11,640 --> 00:30:14,960 Speaker 1: into dinosaurs, Yeah, that's I mean, that's some some research 506 00:30:15,000 --> 00:30:16,800 Speaker 1: has been on the table for for a while that 507 00:30:16,920 --> 00:30:18,960 Speaker 1: there are various various ways you can sort of turn 508 00:30:20,080 --> 00:30:22,840 Speaker 1: turn various a genetic and epigenetic traits on and off 509 00:30:23,160 --> 00:30:29,800 Speaker 1: and hearken back to earlier morphological modes. Well, as I 510 00:30:29,920 --> 00:30:33,440 Speaker 1: learned in Jurassic World, these have the you know, military 511 00:30:34,000 --> 00:30:38,000 Speaker 1: possibility you could send in a pack of these genetically 512 00:30:38,080 --> 00:30:42,400 Speaker 1: modified birds into take out some enemies of the state. 513 00:30:42,640 --> 00:30:45,240 Speaker 1: So I have a question for you guys. It always 514 00:30:45,320 --> 00:30:48,280 Speaker 1: happens in the movies that the military is interested in 515 00:30:48,360 --> 00:30:51,959 Speaker 1: the creation of monsters that kill people. Has there ever 516 00:30:52,120 --> 00:30:56,920 Speaker 1: been a real military experiment in creating monsters that kill people? Um? 517 00:30:57,760 --> 00:31:01,160 Speaker 1: To a certain extent, you can look at various UM 518 00:31:01,840 --> 00:31:07,760 Speaker 1: projects that involved using animals as explosive delivery devices. Are 519 00:31:07,840 --> 00:31:11,840 Speaker 1: you also using animals as spy devices? That's true, Yeah, 520 00:31:11,840 --> 00:31:14,240 Speaker 1: you got your spy pigeons, you got your dog that 521 00:31:14,320 --> 00:31:16,440 Speaker 1: runs under a tank with a bomb on effect. But 522 00:31:16,840 --> 00:31:22,400 Speaker 1: but I mean like giant scorpions. Um, this sounds like 523 00:31:22,560 --> 00:31:27,000 Speaker 1: you get into some sort of gray areas here. You know, 524 00:31:27,080 --> 00:31:29,000 Speaker 1: in terms of how much of this is actually is 525 00:31:29,280 --> 00:31:30,760 Speaker 1: there any truth to it, and how much of it 526 00:31:30,920 --> 00:31:35,000 Speaker 1: is just hearsay in mythology, you do see some this 527 00:31:35,120 --> 00:31:38,480 Speaker 1: is a whole separate podcast, but you do see some 528 00:31:39,360 --> 00:31:42,920 Speaker 1: some arguments that the Soviets were interested in creating some 529 00:31:43,080 --> 00:31:46,680 Speaker 1: sort of man ape um, you know, hybrid that would 530 00:31:46,720 --> 00:31:49,560 Speaker 1: have probably if you give those stories any credence, they 531 00:31:49,560 --> 00:31:51,640 Speaker 1: would have probably been used for labor and I'm not 532 00:31:51,680 --> 00:31:54,120 Speaker 1: sure I get those stories any credence. I feel like 533 00:31:54,240 --> 00:31:56,080 Speaker 1: this is something we need to do some more research 534 00:31:56,160 --> 00:31:58,840 Speaker 1: and tackle for an episode. It sounds like, I mean, 535 00:31:59,080 --> 00:32:02,800 Speaker 1: all of the goal all the best movies begin with 536 00:32:03,120 --> 00:32:05,880 Speaker 1: a creature that's designed by the military as a weapon 537 00:32:05,960 --> 00:32:12,760 Speaker 1: but then gets loose on an airplane. Species. Oh they 538 00:32:12,800 --> 00:32:15,720 Speaker 1: get it from like yeah, it's like an alien like code, 539 00:32:15,840 --> 00:32:21,000 Speaker 1: but the military are the ones who are developing. But anyway, 540 00:32:21,280 --> 00:32:23,360 Speaker 1: getting back to the study with the chicken with the 541 00:32:23,400 --> 00:32:26,440 Speaker 1: plunger on us, but I do think, I don't know, 542 00:32:26,520 --> 00:32:30,680 Speaker 1: it's interesting because having great movies like Jurassic Park and stuff, 543 00:32:30,960 --> 00:32:35,520 Speaker 1: we can forget that we've never actually seen a dinosaur move. Yeah, 544 00:32:36,160 --> 00:32:38,400 Speaker 1: because of the movies are so good and they stick 545 00:32:38,440 --> 00:32:40,840 Speaker 1: in the mind. We think we've seen what it's like 546 00:32:41,000 --> 00:32:43,480 Speaker 1: for a Tyrannosaurs rex to walk, but we haven't. We 547 00:32:43,600 --> 00:32:46,520 Speaker 1: don't know what it would be like. We've seen those illustrations, 548 00:32:46,600 --> 00:32:50,480 Speaker 1: we've seen representations of how we think they move, but again, 549 00:32:50,520 --> 00:32:52,880 Speaker 1: all that is is based on looking at the fossil 550 00:32:52,920 --> 00:32:57,040 Speaker 1: remains comparing those two existing creatures, and this is uh, 551 00:32:57,480 --> 00:32:59,400 Speaker 1: this is an experiment that kind of bridges the gap 552 00:32:59,480 --> 00:33:02,560 Speaker 1: between its yeah, Hey, so I think it's time to 553 00:33:02,640 --> 00:33:05,320 Speaker 1: take a quick break to hear about our sponsor for 554 00:33:05,400 --> 00:33:07,840 Speaker 1: this episode. But after that we're gonna come right back 555 00:33:07,920 --> 00:33:16,200 Speaker 1: and talk about more weird science. Okay, Well, I think 556 00:33:16,320 --> 00:33:19,280 Speaker 1: if it's time to talk about the next award. This 557 00:33:19,480 --> 00:33:23,840 Speaker 1: next one was the prize given in physiology and entomology. 558 00:33:24,000 --> 00:33:27,160 Speaker 1: So that's kind of a weird mixture study of the 559 00:33:27,240 --> 00:33:30,959 Speaker 1: body and study of insects. And the essential unifying factor 560 00:33:31,040 --> 00:33:35,720 Speaker 1: here is insect stings, stinging insects and the pain they inflict. 561 00:33:36,520 --> 00:33:39,240 Speaker 1: So there were there were two different recipients for for 562 00:33:39,440 --> 00:33:42,800 Speaker 1: different studies on this award. It was Dr Justin oh 563 00:33:43,120 --> 00:33:47,120 Speaker 1: Schmidt was the first one, and then also Michael L. Smith. 564 00:33:47,720 --> 00:33:50,920 Speaker 1: So Schmidt is an American entomologist who has been studying 565 00:33:51,040 --> 00:33:55,680 Speaker 1: stinging insects like wasps, ants, bees for decades a long time, 566 00:33:56,840 --> 00:33:59,680 Speaker 1: and over the course of his career he's been stung 567 00:33:59,760 --> 00:34:03,040 Speaker 1: at lot. He's been stung just inadvertently, it happens. I 568 00:34:03,120 --> 00:34:05,040 Speaker 1: think there are some people who have reported that he 569 00:34:05,600 --> 00:34:09,080 Speaker 1: he set out intentionally to get himself stung by a 570 00:34:09,200 --> 00:34:12,520 Speaker 1: thousand different insects, and that's not necessarily true. But over 571 00:34:12,600 --> 00:34:15,800 Speaker 1: the course of his career, he has been inadvertently stung 572 00:34:15,880 --> 00:34:19,400 Speaker 1: more than a thousand times, and he's ranked the stings 573 00:34:19,600 --> 00:34:22,239 Speaker 1: of dozens of insects. The last figure I saw is 574 00:34:22,360 --> 00:34:26,160 Speaker 1: seventy eight different insects species by the level of pain 575 00:34:26,480 --> 00:34:30,279 Speaker 1: inflicted by the stings is purely subjective based on his 576 00:34:30,400 --> 00:34:33,319 Speaker 1: experience of the stings. Yes, both of these studies are 577 00:34:33,400 --> 00:34:36,080 Speaker 1: going to be inherently subjective. But at the same time, 578 00:34:36,120 --> 00:34:39,640 Speaker 1: I think useful because I mean, there are lots of 579 00:34:39,680 --> 00:34:43,680 Speaker 1: phenomena we study that are inherently subjective. But itself is 580 00:34:43,760 --> 00:34:46,640 Speaker 1: difficult to the class behind this regard. Yeah, they're inherently 581 00:34:46,719 --> 00:34:49,520 Speaker 1: you don't know the meaning of the word, right, They're 582 00:34:49,560 --> 00:34:53,600 Speaker 1: they're inherently subjective, but you can you can see trends emerge. 583 00:34:53,719 --> 00:34:55,200 Speaker 1: But you know, if you have a bunch of people 584 00:34:55,600 --> 00:35:00,399 Speaker 1: rate pain, you'll eventually discovered that it does actually more 585 00:35:00,480 --> 00:35:01,960 Speaker 1: on average to get hit in the head with a 586 00:35:02,040 --> 00:35:04,240 Speaker 1: hammer than it does to get flicked in the cheek 587 00:35:04,360 --> 00:35:09,080 Speaker 1: or something. But anyway, the scale, he he created a 588 00:35:09,160 --> 00:35:14,120 Speaker 1: scale that's known as the Schmidt sting pain index, and 589 00:35:14,400 --> 00:35:16,760 Speaker 1: so the scale goes from zero to four. A zero 590 00:35:17,120 --> 00:35:20,720 Speaker 1: is no effect at all. One is kind of a small, 591 00:35:20,840 --> 00:35:24,040 Speaker 1: little spark of pain, like a sweat bee or something. 592 00:35:24,560 --> 00:35:27,000 Speaker 1: A two is going to be a for a common 593 00:35:27,120 --> 00:35:30,120 Speaker 1: sting like the sting of a honey bee of APIs 594 00:35:30,239 --> 00:35:36,239 Speaker 1: MALIFERA three is a more kind of intense, powerful, really 595 00:35:36,360 --> 00:35:39,360 Speaker 1: troubling pain, and they're there are a bunch of insects 596 00:35:39,480 --> 00:35:41,879 Speaker 1: he lists that can give things like that, and then 597 00:35:42,080 --> 00:35:45,840 Speaker 1: A four is just melt your brain pain. An example 598 00:35:45,960 --> 00:35:50,799 Speaker 1: of level four is the tropical bullet ant parapone Era clavata, 599 00:35:51,600 --> 00:35:54,759 Speaker 1: which is pain that It's been described in a lot 600 00:35:54,800 --> 00:35:56,600 Speaker 1: of ways. I want to sort of summarize the things 601 00:35:56,640 --> 00:35:59,200 Speaker 1: I've read about it by saying it's like having a 602 00:35:59,320 --> 00:36:03,360 Speaker 1: hot nail shoved into your bones and the pain lasts 603 00:36:03,480 --> 00:36:07,800 Speaker 1: for twenty four hours. There is and speaking of the 604 00:36:07,840 --> 00:36:10,839 Speaker 1: animals that we could utilize for military purposes, oh yeah, 605 00:36:10,960 --> 00:36:14,560 Speaker 1: bullet ants, Yeah, some giant bullet at Also around four 606 00:36:14,760 --> 00:36:17,600 Speaker 1: is the tarantula hawk, which you can actually run into 607 00:36:17,719 --> 00:36:20,239 Speaker 1: in the United States, I think in the Southwest. Really, 608 00:36:20,360 --> 00:36:23,440 Speaker 1: this stuff is like if it'll if it stings you, 609 00:36:23,640 --> 00:36:29,840 Speaker 1: it's just unbearable. It's not lethal, right right, Well, I 610 00:36:29,920 --> 00:36:32,520 Speaker 1: don't know if if it's impossible for it to be lethal, 611 00:36:32,600 --> 00:36:35,120 Speaker 1: but I haven't read anything about it being lethal, I mean, 612 00:36:35,160 --> 00:36:38,040 Speaker 1: at least not regular and not to a person who 613 00:36:38,080 --> 00:36:42,160 Speaker 1: doesn't have an existing allergic reaction, right, yeah. Uh. And 614 00:36:42,400 --> 00:36:44,600 Speaker 1: so there's actually, if you want to read it, there 615 00:36:44,640 --> 00:36:46,800 Speaker 1: are plenty of places out on the internet where the 616 00:36:46,880 --> 00:36:51,200 Speaker 1: Schmidt sting pain scale has been supplemented with these kind 617 00:36:51,280 --> 00:36:56,759 Speaker 1: of wine tasting style descriptions that originally came out of 618 00:36:57,239 --> 00:36:59,840 Speaker 1: an article that he gave some quotes to in the 619 00:37:00,040 --> 00:37:03,840 Speaker 1: nineteen nineties. And it's pretty funny. I'm not going to 620 00:37:03,920 --> 00:37:05,759 Speaker 1: read through all of them here, but you know, it 621 00:37:05,800 --> 00:37:08,719 Speaker 1: would be like, oh, sort of like light fruity pain 622 00:37:10,440 --> 00:37:15,319 Speaker 1: had a flutter of strawberries, Like what's that movie Sideways? Oh? Yeah, yeah, 623 00:37:15,520 --> 00:37:17,759 Speaker 1: you know, I can imagine a future where you'll have 624 00:37:18,640 --> 00:37:22,120 Speaker 1: the human race it's so jaded by pleasurable distant stations 625 00:37:22,600 --> 00:37:25,600 Speaker 1: that they do have to explore. It's the cinemabytes, yeah, 626 00:37:25,840 --> 00:37:30,640 Speaker 1: exploring the limits of pleasure and pain intertwined. But anyways, 627 00:37:30,800 --> 00:37:33,440 Speaker 1: Schmidt first published a version of his sting pain index 628 00:37:33,520 --> 00:37:37,840 Speaker 1: in the nineteen eighty three paper Hemolytic Activities of Stinging 629 00:37:37,960 --> 00:37:42,400 Speaker 1: Insect Venoms in the Journal Insect Biochemistry and Physiology, and 630 00:37:42,600 --> 00:37:45,520 Speaker 1: he has since expanded and refined his scale in some 631 00:37:45,640 --> 00:37:48,440 Speaker 1: subsequent publications, and so now it's pretty big. You know, 632 00:37:48,560 --> 00:37:50,560 Speaker 1: it's got at least seventy eight insects. He might have 633 00:37:50,640 --> 00:37:54,720 Speaker 1: added more since then. But while there is some inherent 634 00:37:54,880 --> 00:37:57,920 Speaker 1: subjectivity to this, I think it's interesting that it's useful 635 00:37:58,000 --> 00:38:01,920 Speaker 1: to have ways of care aracterizing the levels of inflicted 636 00:38:02,000 --> 00:38:04,799 Speaker 1: pain by different insects so that we can study things 637 00:38:04,960 --> 00:38:07,800 Speaker 1: like insect venom and its effects. If you don't have 638 00:38:08,120 --> 00:38:11,400 Speaker 1: something like a sting pain scale, how do you begin 639 00:38:11,520 --> 00:38:16,959 Speaker 1: to study the relationship between like venom compounds and sting 640 00:38:17,040 --> 00:38:22,120 Speaker 1: pain or treatment. Sure, yeah, leading to treatment studies. Yeah, 641 00:38:22,360 --> 00:38:25,120 Speaker 1: But one of the things that Schmidt had acknowledged in 642 00:38:25,280 --> 00:38:28,640 Speaker 1: some of his earlier work is that different sting locations 643 00:38:28,680 --> 00:38:31,160 Speaker 1: on the body will make a difference. But he didn't 644 00:38:31,200 --> 00:38:33,880 Speaker 1: try to formulate a scale to reflect that. You know, 645 00:38:34,000 --> 00:38:39,640 Speaker 1: the map of pain across the body, Well, that's my 646 00:38:40,160 --> 00:38:43,680 Speaker 1: my new horror story map of pain. Oh no, it 647 00:38:43,760 --> 00:38:46,920 Speaker 1: makes me think about Jeffrey Combs and the Frighteners and 648 00:38:47,360 --> 00:38:53,759 Speaker 1: my body is a roadmap of pain. But in a 649 00:38:53,800 --> 00:38:57,759 Speaker 1: Cornell graduate student in neurobiology and behavior named Michael L. 650 00:38:57,840 --> 00:39:01,480 Speaker 1: Smith published a paper explore dring this theme, which it 651 00:39:01,640 --> 00:39:04,360 Speaker 1: was a different variable on the same question. So instead 652 00:39:04,400 --> 00:39:08,279 Speaker 1: of measuring the relative pain experience of stings inflicted by 653 00:39:08,280 --> 00:39:11,600 Speaker 1: different insects, he decided to measure the difference of pain 654 00:39:11,719 --> 00:39:16,200 Speaker 1: inflicted by the same insect stinging different places on the 655 00:39:16,320 --> 00:39:22,480 Speaker 1: body on himself. Okay, So Smith had been studying honeybee 656 00:39:22,520 --> 00:39:25,759 Speaker 1: behavior and evolution, and according to an interview he gave 657 00:39:25,840 --> 00:39:29,120 Speaker 1: to National Geographic, he was inspired to do this experiment 658 00:39:29,200 --> 00:39:31,839 Speaker 1: after a bee flew up his shorts and stung him 659 00:39:31,840 --> 00:39:36,120 Speaker 1: in the testicles. That would definitely be an inspiring situation 660 00:39:36,760 --> 00:39:39,600 Speaker 1: of silence from Michael L. Smith and his testicles. Yeah, 661 00:39:39,680 --> 00:39:42,240 Speaker 1: so the paper he wrote it doesn't stop there because 662 00:39:42,520 --> 00:39:45,560 Speaker 1: the paper he wrote it is called honey Bee Sting 663 00:39:45,680 --> 00:39:49,000 Speaker 1: Pain Indexed by Body Location. You can read the full 664 00:39:49,080 --> 00:39:51,839 Speaker 1: text online. It's available for free, and it is it's 665 00:39:51,920 --> 00:39:54,880 Speaker 1: it's certainly not going to win an award for like 666 00:39:55,040 --> 00:39:58,080 Speaker 1: the most rigorous methodology in the world because the number 667 00:39:58,120 --> 00:40:01,960 Speaker 1: of subjects is one the author himself, and the reporting 668 00:40:02,080 --> 00:40:05,120 Speaker 1: is inherently subjective. As we've been talking about, all of 669 00:40:05,200 --> 00:40:08,239 Speaker 1: this admitted in good humor by the author. It's not 670 00:40:08,360 --> 00:40:09,960 Speaker 1: like he's trying to make a bigger deal of it 671 00:40:10,040 --> 00:40:14,799 Speaker 1: than days. But it is a pretty fun read if 672 00:40:14,840 --> 00:40:18,680 Speaker 1: you're interested in some dry humor. A great example is 673 00:40:18,800 --> 00:40:23,120 Speaker 1: in his methods section, he says Cornell University's Human Research 674 00:40:23,239 --> 00:40:27,640 Speaker 1: Protection Program does not have a policy regarding researcher self experimentation, 675 00:40:28,080 --> 00:40:31,040 Speaker 1: so this research was not subject to review from their offices. 676 00:40:31,400 --> 00:40:34,279 Speaker 1: The methods do not conflict with the Helsinki Declaration of 677 00:40:35,480 --> 00:40:38,560 Speaker 1: ve revised in nineteen eighty three. The author was the 678 00:40:38,680 --> 00:40:42,040 Speaker 1: only person stung was aware of all associated risks therein, 679 00:40:42,200 --> 00:40:45,000 Speaker 1: gave his consent and is aware that these results will 680 00:40:45,080 --> 00:40:49,800 Speaker 1: be made public. Um, so his method was pretty interesting. 681 00:40:50,719 --> 00:40:54,400 Speaker 1: The research was carried out in and Smith picked twenty 682 00:40:54,440 --> 00:40:57,400 Speaker 1: five different locations on the body to test with the 683 00:40:57,520 --> 00:41:01,160 Speaker 1: standard stimulus of a honey bee sting. And the honey 684 00:41:01,200 --> 00:41:03,440 Speaker 1: bee sting is a good choice for a standard stimulus 685 00:41:03,520 --> 00:41:05,920 Speaker 1: because it's right in the middle of the Schmidt scale, 686 00:41:05,960 --> 00:41:09,680 Speaker 1: you remember, Yeah, so it's right in the middle. It's 687 00:41:09,800 --> 00:41:14,000 Speaker 1: it hurts, but it's not blinding pain. I'm guessing it's 688 00:41:14,000 --> 00:41:17,719 Speaker 1: also easy to control the number of stings. Yeah, that's 689 00:41:17,719 --> 00:41:20,440 Speaker 1: true also, and it's a familiar reference point for many 690 00:41:20,480 --> 00:41:21,920 Speaker 1: people in the world, a lot of people have been 691 00:41:21,920 --> 00:41:25,760 Speaker 1: stung by honey bees. So during the test, Smith goated 692 00:41:25,880 --> 00:41:30,240 Speaker 1: bees to sting him five times every day, always between 693 00:41:30,360 --> 00:41:32,920 Speaker 1: nine am and ten am, to avoid the sort of 694 00:41:33,000 --> 00:41:35,920 Speaker 1: pain perception variants that could be related to time of day. 695 00:41:35,960 --> 00:41:37,960 Speaker 1: It's possible that you might feel more pain in the 696 00:41:38,080 --> 00:41:41,279 Speaker 1: evening or something, So between nine and ten Back up 697 00:41:41,320 --> 00:41:43,040 Speaker 1: for a second, why would that be because of like 698 00:41:44,840 --> 00:41:47,120 Speaker 1: he just wanted he just wanted to eliminate that there, 699 00:41:47,320 --> 00:41:50,279 Speaker 1: he just had us. Yeah, so it's always between nine 700 00:41:50,320 --> 00:41:53,640 Speaker 1: and ten am. He'd get stung five times, and the 701 00:41:53,719 --> 00:41:57,280 Speaker 1: sting session would start with a calibration sting on the forearm, 702 00:41:57,760 --> 00:42:01,160 Speaker 1: which he used as his intern old standard. He gave 703 00:42:01,239 --> 00:42:04,520 Speaker 1: the forearms sting a five point oh pain rating out 704 00:42:04,560 --> 00:42:07,040 Speaker 1: of ten and so that's right in the middle. So 705 00:42:07,120 --> 00:42:09,279 Speaker 1: all of the other stings were rated relative to what 706 00:42:09,480 --> 00:42:11,680 Speaker 1: it feels like to get stung right on the forearm 707 00:42:11,760 --> 00:42:14,640 Speaker 1: by a honeybee. Is it worse? Is it not as bad? 708 00:42:15,080 --> 00:42:17,920 Speaker 1: And then he so he rated the test locations relative 709 00:42:18,000 --> 00:42:21,680 Speaker 1: to that, and then he would sting himself three times 710 00:42:21,880 --> 00:42:25,640 Speaker 1: in various test locations with a calibration sting before and 711 00:42:26,000 --> 00:42:29,399 Speaker 1: after on the forearm. So I have a question. Yeah, 712 00:42:29,920 --> 00:42:32,279 Speaker 1: how do you goa to the bees to sting you 713 00:42:32,440 --> 00:42:35,680 Speaker 1: in specific ways? Oh, I'm getting to that part. In fact, 714 00:42:35,880 --> 00:42:39,080 Speaker 1: just let me read you a quote straight from his 715 00:42:39,239 --> 00:42:43,560 Speaker 1: materials quote. Bees were taken from the cage haphazardly with 716 00:42:43,680 --> 00:42:49,040 Speaker 1: four steps to to apply the sting. The bee was 717 00:42:49,200 --> 00:42:53,000 Speaker 1: grabbed by the wings and plus pressed against the desired 718 00:42:53,080 --> 00:42:56,880 Speaker 1: sting location. The bee was held against the sting location 719 00:42:57,040 --> 00:42:59,600 Speaker 1: until the sting was first felt, and kept at the 720 00:42:59,640 --> 00:43:02,839 Speaker 1: location for five seconds to ensure that the stinger would 721 00:43:02,840 --> 00:43:06,680 Speaker 1: penetrate the skin. The bee was pulled away after five seconds, 722 00:43:06,800 --> 00:43:09,480 Speaker 1: leaving the stinger in the skin. The stinger was left 723 00:43:09,520 --> 00:43:11,680 Speaker 1: in the skin for one minute and then removed with 724 00:43:11,760 --> 00:43:16,560 Speaker 1: four steps. So he just to he thought it out, 725 00:43:17,719 --> 00:43:20,200 Speaker 1: and then he made a roadmap of pain. Oh we're 726 00:43:20,239 --> 00:43:22,399 Speaker 1: looking at the map of pain now. Yeah. So it's 727 00:43:22,440 --> 00:43:25,200 Speaker 1: marks all the places on the body where he stung himself. 728 00:43:25,320 --> 00:43:29,600 Speaker 1: And it's pretty funny to imagine how he got the 729 00:43:29,640 --> 00:43:33,080 Speaker 1: bee to sting him, for example, on the buttocks and 730 00:43:33,239 --> 00:43:34,799 Speaker 1: the back of the neck. And there must have been 731 00:43:34,880 --> 00:43:36,960 Speaker 1: some kind of must have had help, right, he probably 732 00:43:37,000 --> 00:43:39,360 Speaker 1: had like a like an intern. I don't know, he 733 00:43:39,400 --> 00:43:44,520 Speaker 1: didn't say anything about that, but anyway, he found some results. 734 00:43:44,560 --> 00:43:47,160 Speaker 1: So out of the twenty five places, he found that 735 00:43:47,320 --> 00:43:51,040 Speaker 1: the least painful places to get stung were the skull, 736 00:43:52,160 --> 00:43:56,359 Speaker 1: the middle toe tip, and the upper arm. That's inter right, 737 00:43:56,360 --> 00:43:58,320 Speaker 1: because I would have thought the buttock for some reason, 738 00:43:58,400 --> 00:44:01,759 Speaker 1: you know, I mean, that seems like a great And 739 00:44:01,960 --> 00:44:05,120 Speaker 1: then he found that the three most painful locations were 740 00:44:05,200 --> 00:44:10,319 Speaker 1: the nostril, the upper lip, and the penis shaft, which 741 00:44:10,520 --> 00:44:12,840 Speaker 1: got a nine point oh out of ten for the 742 00:44:12,920 --> 00:44:15,640 Speaker 1: nostril and eight point seven for the upper lip and 743 00:44:15,719 --> 00:44:18,320 Speaker 1: a seven point three for the penis shaft. I wouldn't 744 00:44:18,320 --> 00:44:20,480 Speaker 1: have thought about the nostril being that bad, but yeah, 745 00:44:20,880 --> 00:44:23,000 Speaker 1: I'm gonna get to the nostril in a minute. So 746 00:44:24,040 --> 00:44:27,239 Speaker 1: Smith found that for him, a few things were interestingly 747 00:44:27,520 --> 00:44:29,720 Speaker 1: ruled out. He found that the side of the body 748 00:44:29,920 --> 00:44:33,520 Speaker 1: was not a significant factor in pain perception, so left 749 00:44:33,600 --> 00:44:36,400 Speaker 1: or right doesn't matter. I found that the date of 750 00:44:36,560 --> 00:44:40,080 Speaker 1: stinging did not matter, and the order of stinging per 751 00:44:40,239 --> 00:44:43,120 Speaker 1: round did not matter. The most significant factor in pain 752 00:44:43,239 --> 00:44:47,000 Speaker 1: variation was, as predicted, the location of the sting. So 753 00:44:47,200 --> 00:44:49,600 Speaker 1: in short, it doesn't much matter whether you get stung 754 00:44:49,640 --> 00:44:52,080 Speaker 1: on Wednesday and Thursday. It matters if you get stung 755 00:44:52,160 --> 00:44:55,640 Speaker 1: on the knee or on the nipple, Okay, And so 756 00:44:55,920 --> 00:44:57,839 Speaker 1: I wanted to do a little test and see if 757 00:44:57,880 --> 00:45:01,160 Speaker 1: you guys can guess the following without looking. Okay, So 758 00:45:01,200 --> 00:45:03,200 Speaker 1: I'm gonna I'm gonna give you three places to get 759 00:45:03,239 --> 00:45:05,719 Speaker 1: stung and see if you can rank them in order 760 00:45:05,800 --> 00:45:12,879 Speaker 1: of least painful the most painful. Okay, upper thigh, foot arch, 761 00:45:13,120 --> 00:45:15,719 Speaker 1: so the instep, the sole of your foot, foot arch, 762 00:45:16,080 --> 00:45:21,880 Speaker 1: and behind the ear. Oh m hmmm. I would do 763 00:45:21,960 --> 00:45:24,680 Speaker 1: you want us both to do it? I would say 764 00:45:28,239 --> 00:45:31,800 Speaker 1: arch as of the foot is worse, and then and 765 00:45:31,880 --> 00:45:34,680 Speaker 1: then behind the ear and then thigh. Yeah. I'm kind 766 00:45:34,719 --> 00:45:38,520 Speaker 1: of going based on people I know who've had tattoos 767 00:45:39,400 --> 00:45:43,160 Speaker 1: uh done in those areas and how much pain they experience, 768 00:45:43,480 --> 00:45:45,759 Speaker 1: And so I think it's going to be behind the ear, 769 00:45:46,360 --> 00:45:50,360 Speaker 1: the foot arch, and then the thigh and at the end. No, 770 00:45:50,600 --> 00:45:53,080 Speaker 1: so they were all pretty close, but it was actually 771 00:45:53,200 --> 00:45:55,320 Speaker 1: in the order I said. The least painful was the 772 00:45:55,400 --> 00:45:59,640 Speaker 1: upper thigh, the second most painful was the foot arch, 773 00:46:00,000 --> 00:46:04,719 Speaker 1: and then the most painful was behind the ear. I 774 00:46:04,840 --> 00:46:07,759 Speaker 1: just was doing it in reverse orders. Sorry. Yeah, So 775 00:46:08,040 --> 00:46:11,200 Speaker 1: that's four point seven, five point and five point three respectively. 776 00:46:11,320 --> 00:46:15,920 Speaker 1: All pretty close. Yeah, not very far off. Now I 777 00:46:16,040 --> 00:46:18,040 Speaker 1: got three more for you, so you can do these 778 00:46:19,360 --> 00:46:25,640 Speaker 1: screwed um, buttock nipple. Okay, from least to most. Yeah, 779 00:46:25,680 --> 00:46:32,960 Speaker 1: I've got to go buttock nipple screwed hum. Would you agree? 780 00:46:33,040 --> 00:46:41,600 Speaker 1: Christian no Leasta wears buttock screwed um nipple for me? Okay, 781 00:46:41,760 --> 00:46:45,239 Speaker 1: Robert was right, it goes buttock nipple screwed um. The 782 00:46:45,520 --> 00:46:48,080 Speaker 1: nipple and screwed um are very close. The screwed um 783 00:46:48,160 --> 00:46:50,080 Speaker 1: was a seven point o out of ten, the nipples 784 00:46:50,160 --> 00:46:53,320 Speaker 1: six point seven and the buttock three point seven. He 785 00:46:53,440 --> 00:46:56,080 Speaker 1: points out also in the paper that this is limited 786 00:46:56,160 --> 00:46:59,840 Speaker 1: by also mail at enemy, so he's having stings on location, 787 00:47:00,040 --> 00:47:03,759 Speaker 1: so get stung on. I'm curious about the gender applications. 788 00:47:04,120 --> 00:47:07,719 Speaker 1: And he couldn't convince any of his female colleagues. He 789 00:47:07,920 --> 00:47:10,480 Speaker 1: couldn't convince anybody. I don't know if he tried, but 790 00:47:10,600 --> 00:47:12,799 Speaker 1: it was a kind of study where you might realize 791 00:47:13,120 --> 00:47:15,879 Speaker 1: I'm the only one. He's the game for this. Well, 792 00:47:15,960 --> 00:47:17,600 Speaker 1: you know he as he kind of pointed out like 793 00:47:17,680 --> 00:47:21,440 Speaker 1: it would probably introduce complications with ethics review if he 794 00:47:21,560 --> 00:47:23,800 Speaker 1: was trying to get other people to submit to this, 795 00:47:24,480 --> 00:47:26,520 Speaker 1: so he just did it to himself and in the 796 00:47:26,600 --> 00:47:29,240 Speaker 1: spirit of science. I think it's interesting what he found. 797 00:47:30,360 --> 00:47:33,480 Speaker 1: Why it's ridiculous, that's fairly obvious because it involves grabbing 798 00:47:33,520 --> 00:47:36,120 Speaker 1: these with tweezers and pressing them against your nipples until 799 00:47:36,200 --> 00:47:40,440 Speaker 1: they attack. Um, just like I kind of wish, and 800 00:47:40,520 --> 00:47:42,440 Speaker 1: I don't know, like maybe he did, maybe he didn't, 801 00:47:42,480 --> 00:47:45,239 Speaker 1: but he was like documenting the whole thing, and that 802 00:47:45,360 --> 00:47:48,080 Speaker 1: there's just like like twenty years from now, this series 803 00:47:48,200 --> 00:47:50,279 Speaker 1: of photos is going to come out of him, like 804 00:47:50,440 --> 00:47:54,080 Speaker 1: with the forceps applying them in various areas or the audio. 805 00:47:54,320 --> 00:47:57,480 Speaker 1: I would, oh, yeah, that'd be good too. Yeah, that's 806 00:47:57,520 --> 00:48:00,919 Speaker 1: just a whole podcast on its own, just getting stung 807 00:48:01,000 --> 00:48:04,399 Speaker 1: by peace different areas and listening to people yelling pain. 808 00:48:05,360 --> 00:48:08,920 Speaker 1: Uh yeah. So I think that this actually is, believe 809 00:48:09,000 --> 00:48:11,960 Speaker 1: it or not, despite the small sample size and the 810 00:48:12,040 --> 00:48:16,239 Speaker 1: subjective nature of it, I do think it's interesting research this, 811 00:48:16,680 --> 00:48:19,959 Speaker 1: both the Schmidt Sting Pain Index and the subsequent body 812 00:48:20,080 --> 00:48:24,960 Speaker 1: road map of pain, because there certainly not as objective 813 00:48:25,000 --> 00:48:27,920 Speaker 1: as like taking your temperature with the thermometer or measuring 814 00:48:27,960 --> 00:48:29,960 Speaker 1: your white cell count or something. But They're important for 815 00:48:30,040 --> 00:48:34,200 Speaker 1: helping us characterize the relationship between insects, venoms and the 816 00:48:34,280 --> 00:48:38,520 Speaker 1: subjective sensations they produce. Uh, it would be more useful 817 00:48:38,560 --> 00:48:40,880 Speaker 1: in the future probably to repeat these same types of 818 00:48:40,960 --> 00:48:43,960 Speaker 1: experiments just with larger sample size, just get more people 819 00:48:44,040 --> 00:48:47,239 Speaker 1: to get stung and report how much pain they felt. 820 00:48:47,280 --> 00:48:51,120 Speaker 1: But again that that presents an experimental problem. It's hard 821 00:48:51,200 --> 00:48:54,680 Speaker 1: to get an experiment like that ethically. Yeah, but if 822 00:48:54,719 --> 00:48:59,719 Speaker 1: you combine Schmidt's research, his his pain index, and this, 823 00:49:00,239 --> 00:49:05,359 Speaker 1: you get like a fairly interesting roadmap of pain. Yeah, 824 00:49:05,640 --> 00:49:08,000 Speaker 1: you ultimately, I mean that's what it's It's about your 825 00:49:08,080 --> 00:49:10,360 Speaker 1: mapping an unmapped area, which kind of goes back to 826 00:49:10,440 --> 00:49:13,719 Speaker 1: the fly mold analogy and science. What if it was scorpions. 827 00:49:14,719 --> 00:49:18,080 Speaker 1: I don't know, that's maybe that's his next project. Well, 828 00:49:18,160 --> 00:49:24,640 Speaker 1: and this is like the jackass of academic studies. Yeah, 829 00:49:24,760 --> 00:49:28,040 Speaker 1: getting getting like hit in the face like Johnny Knoxville 830 00:49:28,160 --> 00:49:32,160 Speaker 1: publishes and p l O S one like like this 831 00:49:32,320 --> 00:49:34,480 Speaker 1: is what happens when you jump off a trampoline when 832 00:49:34,480 --> 00:49:38,839 Speaker 1: you're naked into a pit of snakes. I don't think 833 00:49:38,880 --> 00:49:41,680 Speaker 1: they do the snakes, No, No, they do it. They 834 00:49:41,719 --> 00:49:46,240 Speaker 1: do a bit of nails. Yeah. Anyway, though, another interesting 835 00:49:46,320 --> 00:49:49,120 Speaker 1: takeaway from this was not just about the venom and 836 00:49:49,200 --> 00:49:53,640 Speaker 1: the sting pain, but about human responses. So one of 837 00:49:53,719 --> 00:49:57,640 Speaker 1: the things that Smith pointed out in his research was 838 00:49:57,800 --> 00:50:00,200 Speaker 1: that it's kind of weird how the most pain full 839 00:50:00,280 --> 00:50:02,840 Speaker 1: sting of all of them was a sting to the nostril. 840 00:50:03,560 --> 00:50:06,000 Speaker 1: He says that it was the especially violent. It was 841 00:50:06,040 --> 00:50:08,759 Speaker 1: a nine point o out of ten. He really did 842 00:50:08,840 --> 00:50:11,320 Speaker 1: not want to repeat that one, though he knew he 843 00:50:11,400 --> 00:50:14,360 Speaker 1: had to for the experiment, and he was not looking 844 00:50:14,400 --> 00:50:16,520 Speaker 1: forward to it. But he said that the nostrils stings 845 00:50:16,560 --> 00:50:21,000 Speaker 1: were especially violent, immediately inducing sneezing, tears and a copious 846 00:50:21,120 --> 00:50:24,719 Speaker 1: flow of mucus. Uh. And then he also points does 847 00:50:24,760 --> 00:50:28,360 Speaker 1: that make sense that they're probably fairly sensitive. Yeah, and 848 00:50:28,480 --> 00:50:31,640 Speaker 1: he's He says the sting did autautomize in the nostril, 849 00:50:31,719 --> 00:50:36,239 Speaker 1: meaning it it cut itself off, so the stinger gets separated, um, 850 00:50:36,480 --> 00:50:38,760 Speaker 1: and then the bee is removed, but the stinger stays 851 00:50:38,800 --> 00:50:42,360 Speaker 1: in uh. And he mentions that the copious full of mucus, however, 852 00:50:42,640 --> 00:50:46,000 Speaker 1: may help prevent subsequent stings to the area during a 853 00:50:46,120 --> 00:50:49,520 Speaker 1: natural attack. So that's something that we might now understand 854 00:50:49,600 --> 00:50:53,560 Speaker 1: better about humans in this scenario where if you're actually 855 00:50:53,600 --> 00:50:55,840 Speaker 1: getting stung by bees in the wild, putting all this 856 00:50:56,040 --> 00:50:58,920 Speaker 1: mucus out might prevent more bees from the stinging you 857 00:50:59,080 --> 00:51:02,000 Speaker 1: in that place. That's good. That's a good I think 858 00:51:02,080 --> 00:51:09,279 Speaker 1: it requires further research by some some brave, foolish individual. Well, 859 00:51:09,360 --> 00:51:12,160 Speaker 1: so anyway, I very much enjoyed reading about that, and 860 00:51:12,280 --> 00:51:14,480 Speaker 1: I hope that there is at least one more study 861 00:51:14,520 --> 00:51:17,759 Speaker 1: about pain. Oh there is, yes. Our final study here 862 00:51:17,880 --> 00:51:22,560 Speaker 1: is the two thousand fifteen Ignoble Prize for Diagnostic Medicine, 863 00:51:23,120 --> 00:51:29,200 Speaker 1: and it deals entirely with speed bumps and appendicitis. So 864 00:51:29,960 --> 00:51:32,560 Speaker 1: the actual and and this is I was really fascinated 865 00:51:32,600 --> 00:51:35,640 Speaker 1: by this because I I have not suffered appendicitis. I 866 00:51:35,680 --> 00:51:38,520 Speaker 1: have not had my appendix out, so I can't directly 867 00:51:38,640 --> 00:51:40,680 Speaker 1: relate to the pain. And I'm and kind of look 868 00:51:40,680 --> 00:51:42,080 Speaker 1: about their last time. I haven't just go on these 869 00:51:42,120 --> 00:51:45,320 Speaker 1: subjective accounts of what that pain is like. Um. The 870 00:51:45,400 --> 00:51:48,320 Speaker 1: paper in question here is Pain over speed Bumps and 871 00:51:48,480 --> 00:51:53,680 Speaker 1: Diagnosis of Acute Appendicitis Colon Diagnostic Accuracy Study. And this 872 00:51:53,880 --> 00:52:00,240 Speaker 1: is from Helen f Ashdown, Nigel Dososa, uh Delilah Caramer 873 00:52:00,320 --> 00:52:05,279 Speaker 1: j Stevens, Andrew Huang, and Anthony Harndon. And these are 874 00:52:05,280 --> 00:52:10,520 Speaker 1: all researchers from the University of Oxford and Stoke Mandeville Hospital. Okay, 875 00:52:10,960 --> 00:52:16,200 Speaker 1: so here's the basic deal. You have acute appendicitis, all right, 876 00:52:16,280 --> 00:52:18,960 Speaker 1: and it's it's this is actually the most common surgical 877 00:52:19,280 --> 00:52:24,960 Speaker 1: abdominal emergency, and rapid diagnosis of appendicitis is critical because 878 00:52:25,120 --> 00:52:28,200 Speaker 1: the more time that passes between diagnosis and surgical treatment, 879 00:52:28,440 --> 00:52:31,520 Speaker 1: the greater the risk for complications and even death. You 880 00:52:31,600 --> 00:52:33,800 Speaker 1: gotta get it fixed quick right. And then this is 881 00:52:33,840 --> 00:52:39,080 Speaker 1: where it gets trickier. There's no specific clinical diagnostic test 882 00:52:39,160 --> 00:52:42,160 Speaker 1: for appendicitis. We don't have a device that you can 883 00:52:42,320 --> 00:52:45,880 Speaker 1: point at the body. There's not a blood test. Most 884 00:52:46,239 --> 00:52:48,000 Speaker 1: all of it has to depend. It just depends on 885 00:52:48,080 --> 00:52:53,960 Speaker 1: the doctor talking to somebody, getting their subjective feedback about 886 00:52:54,080 --> 00:52:56,920 Speaker 1: the pain they're experiencing. And then the doctor has to 887 00:52:57,360 --> 00:52:59,560 Speaker 1: has to make a call do we do we cut 888 00:52:59,600 --> 00:53:01,719 Speaker 1: them open? Do we not kind them open with performer 889 00:53:02,120 --> 00:53:05,560 Speaker 1: or do or do we not? And as a result, 890 00:53:05,680 --> 00:53:10,320 Speaker 1: the rate of negative appendectomy that's surgery performed performed on 891 00:53:10,440 --> 00:53:17,360 Speaker 1: a healthy appendix ranges from four percent to yeah. So 892 00:53:18,719 --> 00:53:22,880 Speaker 1: clinical diagnosis especially that early diagnosis can be challenging because 893 00:53:23,440 --> 00:53:26,319 Speaker 1: you want to catch it early, but you if it's 894 00:53:26,400 --> 00:53:28,480 Speaker 1: it's early, it's gonna be harder to determine if that's 895 00:53:28,640 --> 00:53:31,000 Speaker 1: actually what's going on. And you don't want to remove 896 00:53:31,600 --> 00:53:35,400 Speaker 1: a healthy appendix. You don't want to perform unnecessary surgery 897 00:53:35,480 --> 00:53:38,839 Speaker 1: on people for a variety of reasons. So one possibility 898 00:53:38,840 --> 00:53:42,319 Speaker 1: emerges here, and that is the role of speed bumps because, 899 00:53:42,360 --> 00:53:46,040 Speaker 1: as it turns out, into the literal federal speed on 900 00:53:46,120 --> 00:53:48,879 Speaker 1: the road, lumps of asphalt that make your car, truck 901 00:53:49,000 --> 00:53:51,640 Speaker 1: or bus go blah blah blah blom up and down. Because, 902 00:53:51,680 --> 00:53:54,279 Speaker 1: as it turns out, individuals coming into the hospital for 903 00:53:54,800 --> 00:53:58,840 Speaker 1: appendicitis or suspected in appendicitis often find those speed bumps 904 00:53:59,040 --> 00:54:02,839 Speaker 1: really painful to go over, and emergency rooms have lots 905 00:54:02,840 --> 00:54:05,600 Speaker 1: of speed bumps in front of them usually, Yeah, I 906 00:54:05,719 --> 00:54:08,680 Speaker 1: think so it would make sense. Yeah, it's like the 907 00:54:08,760 --> 00:54:10,799 Speaker 1: no wake sign of the hospital. You don't want people 908 00:54:10,960 --> 00:54:13,719 Speaker 1: zooming around. Yeah. Yeah. So, as it turns out, some 909 00:54:13,880 --> 00:54:18,240 Speaker 1: doctors actually incorporate this into their diagnostics. Uh, when asking 910 00:54:18,320 --> 00:54:20,920 Speaker 1: somebody about their pain, trying to determine if they have 911 00:54:20,960 --> 00:54:23,520 Speaker 1: a pendicidis, they might ask them, well, what was it 912 00:54:23,600 --> 00:54:25,960 Speaker 1: like going over the speed bump or the series of 913 00:54:25,960 --> 00:54:29,319 Speaker 1: speed bumps coming into the hospital. Yeah, so that's why 914 00:54:29,400 --> 00:54:33,080 Speaker 1: those speed bumps are there. Well, it makes you, in 915 00:54:33,120 --> 00:54:35,080 Speaker 1: this study roll, I think, ultimately make you think that 916 00:54:35,360 --> 00:54:37,600 Speaker 1: any hospital that doesn't have speed bumps and needs them, 917 00:54:37,680 --> 00:54:40,480 Speaker 1: because what they did is they decided to look into 918 00:54:40,520 --> 00:54:44,120 Speaker 1: this right to see if there's any actual validity too 919 00:54:44,600 --> 00:54:48,680 Speaker 1: doctors asking about this? Should a doc? Should all doctors 920 00:54:48,719 --> 00:54:52,480 Speaker 1: ask about speed bumps? Uh and and abdominal pain. So 921 00:54:53,920 --> 00:54:56,200 Speaker 1: this is a really fun paper. I'm not gonna read 922 00:54:56,200 --> 00:54:57,800 Speaker 1: the whole intro, but I also really love that it 923 00:54:57,840 --> 00:55:00,239 Speaker 1: has one of these very clinical intros that define finds 924 00:55:00,239 --> 00:55:03,839 Speaker 1: what a speed bump is and why we have them. Um. 925 00:55:04,360 --> 00:55:07,120 Speaker 1: But the study itself examined a hundred and one patients 926 00:55:07,160 --> 00:55:10,920 Speaker 1: who were referred to the hospital for suspected appendicitis to 927 00:55:11,160 --> 00:55:14,040 Speaker 1: testing took place in two thousand twelve and patients were 928 00:55:14,120 --> 00:55:17,520 Speaker 1: between seventeen and seventy six years of age. Patients were 929 00:55:17,600 --> 00:55:21,440 Speaker 1: classed as speed bump positive if they had a worsening 930 00:55:21,680 --> 00:55:24,920 Speaker 1: of pain while traveling over the speed bumps, and they 931 00:55:24,920 --> 00:55:28,520 Speaker 1: were classified as speed bump negative if their pain stayed 932 00:55:28,560 --> 00:55:32,080 Speaker 1: the same if they were unsure or if their pain improved. 933 00:55:32,239 --> 00:55:34,719 Speaker 1: Wait a second, of people who were like, oh I 934 00:55:34,800 --> 00:55:37,759 Speaker 1: feel better that way back on the speed bump, it 935 00:55:37,880 --> 00:55:42,040 Speaker 1: was just I think I think we got it. So 936 00:55:42,320 --> 00:55:44,640 Speaker 1: all the participants were in question within twenty four hours 937 00:55:44,680 --> 00:55:47,560 Speaker 1: of their journey of the hospital. So these are the findings. 938 00:55:47,760 --> 00:55:50,359 Speaker 1: Sixty four patients traveled over speed bumps on the way 939 00:55:50,360 --> 00:55:54,080 Speaker 1: to the hospital. Fifty four of those were speed bump positive. 940 00:55:54,560 --> 00:55:57,960 Speaker 1: Thirty four of the sixty four had a confirmed diagnosis 941 00:55:58,040 --> 00:56:02,160 Speaker 1: of acute appendicitis, in which thirty three that's had worse 942 00:56:02,239 --> 00:56:05,880 Speaker 1: in pain over speed bumps. Seven patients who were speed 943 00:56:05,960 --> 00:56:09,160 Speaker 1: bump positive did not have appendicitis, but they did have 944 00:56:09,280 --> 00:56:14,080 Speaker 1: other significant problems such as ruptured or varian cyst or diverticulitis. 945 00:56:15,120 --> 00:56:17,239 Speaker 1: So in the end, they concluded that an increase in 946 00:56:17,360 --> 00:56:21,200 Speaker 1: pain over speed bumps is associated with an increased likelihood 947 00:56:21,280 --> 00:56:24,000 Speaker 1: of acute appendicitis and it should be a key part 948 00:56:24,040 --> 00:56:29,759 Speaker 1: of any doctor doctor's questioning during diagnosis. This is this 949 00:56:29,880 --> 00:56:32,880 Speaker 1: is one of those ones that seems well, first of all, 950 00:56:32,920 --> 00:56:36,279 Speaker 1: I just used huh in the way that wasn't diagnosed 951 00:56:36,400 --> 00:56:39,400 Speaker 1: in the previous report, But Also, this is one of 952 00:56:39,440 --> 00:56:41,239 Speaker 1: the ones that just seems like common sense that you 953 00:56:41,280 --> 00:56:46,279 Speaker 1: wouldn't need an academic or rigorous investigation done well, But 954 00:56:46,400 --> 00:56:48,960 Speaker 1: it's a good thing to do. It's one of those 955 00:56:49,000 --> 00:56:52,879 Speaker 1: where science is coming in and saying, yeah, it's like, we, well, 956 00:56:52,960 --> 00:56:55,160 Speaker 1: we know what's down that hallway. Do we need science 957 00:56:55,200 --> 00:56:57,520 Speaker 1: to check it? Well? How we do, because you can 958 00:56:57,560 --> 00:57:01,400 Speaker 1: imagine a scenario where the search would have said the 959 00:57:01,440 --> 00:57:05,040 Speaker 1: opposite instead. Actually, it's just willy nilly one way or 960 00:57:05,080 --> 00:57:09,080 Speaker 1: the other. This is no better than some medieval technique 961 00:57:09,120 --> 00:57:13,279 Speaker 1: of questioning the humors, you know. I mean that is 962 00:57:13,360 --> 00:57:17,000 Speaker 1: a standard response that I pretty much always opposed when 963 00:57:17,040 --> 00:57:19,600 Speaker 1: people say, like, oh, we didn't need to study to 964 00:57:19,680 --> 00:57:23,160 Speaker 1: show this this is obvious. I mean when you say that, 965 00:57:23,320 --> 00:57:26,280 Speaker 1: it just sounds like you're saying, our intuitions are good enough. 966 00:57:26,680 --> 00:57:29,280 Speaker 1: Our intuitions are not good enough, Our intuitions are wrong 967 00:57:29,480 --> 00:57:32,320 Speaker 1: all the time. This is like what science is good 968 00:57:32,400 --> 00:57:36,960 Speaker 1: for is figuring out whether or not your intuitions are correct. Yeah, uh, 969 00:57:37,080 --> 00:57:39,360 Speaker 1: you know that. This also gets into why this study 970 00:57:39,520 --> 00:57:43,360 Speaker 1: is funny and ridiculous, because the idea of a speed 971 00:57:43,440 --> 00:57:47,320 Speaker 1: bump a lump of asphalt serving is a diagnostic tool 972 00:57:47,840 --> 00:57:53,640 Speaker 1: in uh, in diagnosing a very real and very dangerous condition. Uh. 973 00:57:54,080 --> 00:57:57,520 Speaker 1: I mean there's this something just ridiculous about that. And 974 00:57:57,560 --> 00:57:59,520 Speaker 1: then of course it all ties back into the idea 975 00:57:59,560 --> 00:58:04,600 Speaker 1: that we don't have a a better diagnostic system, right, Yeah, 976 00:58:04,680 --> 00:58:07,280 Speaker 1: Like they don't have a way to test this other 977 00:58:07,360 --> 00:58:10,280 Speaker 1: than asking them what their experience was like hitting the 978 00:58:10,320 --> 00:58:12,400 Speaker 1: speed bump on the way. And well, I wonder what 979 00:58:12,560 --> 00:58:15,440 Speaker 1: like if models of vehicles come into play, you know, 980 00:58:15,640 --> 00:58:18,600 Speaker 1: like if you're in a Range Rover going over speed 981 00:58:18,680 --> 00:58:22,600 Speaker 1: bump versus a Dodge Challenger. But you know, oh yeah, 982 00:58:22,760 --> 00:58:25,160 Speaker 1: like you know the suspension in your car, that would 983 00:58:25,160 --> 00:58:28,160 Speaker 1: definitely be a factor. Yeah. It makes me wonder too 984 00:58:28,280 --> 00:58:30,440 Speaker 1: if there's a if they might just create some sort 985 00:58:30,480 --> 00:58:33,800 Speaker 1: of like funky Halloween chair that you set in the 986 00:58:33,920 --> 00:58:37,320 Speaker 1: doctor's office. The kind of does that does that hurt? 987 00:58:37,400 --> 00:58:41,400 Speaker 1: Sit in the bump chair? Um? Yes, I mean it's 988 00:58:41,440 --> 00:58:44,480 Speaker 1: a oh man, I can't wait for the scene in 989 00:58:44,560 --> 00:58:47,400 Speaker 1: the James Bond movie where somebody they get him to 990 00:58:47,520 --> 00:58:50,000 Speaker 1: test the bump chair, but then one of the henchmen 991 00:58:50,080 --> 00:58:52,600 Speaker 1: tries to kill him by turning the bump chair all 992 00:58:52,640 --> 00:58:54,680 Speaker 1: the way up like in Moon Raker and they put 993 00:58:54,760 --> 00:58:57,080 Speaker 1: him in the G four simulator. That would be good, 994 00:58:57,400 --> 00:58:59,880 Speaker 1: But it wouldn't he have to have an appenducitis for 995 00:59:00,080 --> 00:59:02,040 Speaker 1: it to work. No, No, you can just bump them 996 00:59:02,120 --> 00:59:06,360 Speaker 1: to death with the sheer forces of it. Okay, do 997 00:59:06,400 --> 00:59:10,840 Speaker 1: you know what I'm talking about, Roger Moore? I mean, yeah, 998 00:59:11,200 --> 00:59:13,520 Speaker 1: I need to see that one again because it's to 999 00:59:13,560 --> 00:59:15,919 Speaker 1: think it was the worst, but maybe it's the best, 1000 00:59:16,040 --> 00:59:18,560 Speaker 1: because I've kind of gotten to the point in my 1001 00:59:18,680 --> 00:59:20,840 Speaker 1: life where I don't know that I like any of 1002 00:59:20,880 --> 00:59:23,200 Speaker 1: the James Bond films, so maybe I need to see 1003 00:59:23,240 --> 00:59:26,200 Speaker 1: the the worst of them to appreciate the Again. I 1004 00:59:26,280 --> 00:59:27,760 Speaker 1: was just talking about this with a friend the other day. 1005 00:59:27,880 --> 00:59:30,720 Speaker 1: It's really moon Raker when I was a little kid, 1006 00:59:31,040 --> 00:59:33,440 Speaker 1: but I don't know that it would hold up now. 1007 00:59:34,640 --> 00:59:37,000 Speaker 1: All right, today you haven't. Hey, If you want to 1008 00:59:37,080 --> 00:59:39,360 Speaker 1: check out each of these studies in more detail, check 1009 00:59:39,360 --> 00:59:41,360 Speaker 1: out the landing page for this episode it's Stuff to 1010 00:59:41,400 --> 00:59:43,040 Speaker 1: Blow your Mind dot Com. We'll make sure that their 1011 00:59:43,080 --> 00:59:45,200 Speaker 1: links to related content on the website, to the how 1012 00:59:45,280 --> 00:59:47,959 Speaker 1: stuff Works article about the Ignoble Prizes that I wrote 1013 00:59:48,160 --> 00:59:51,440 Speaker 1: years ago, and more to the point links out to 1014 00:59:51,520 --> 00:59:54,520 Speaker 1: the specific pieces of research that are referenced here. Yeah, 1015 00:59:54,560 --> 00:59:56,439 Speaker 1: and while you're there, it's Stuff to Blow your Mind 1016 00:59:56,720 --> 01:00:01,880 Speaker 1: dot com. You can check out our blog posts, other episodes, podcasts, videos. 1017 01:00:02,000 --> 01:00:04,280 Speaker 1: We've got all that stuff plus you know what's on. 1018 01:00:04,640 --> 01:00:07,000 Speaker 1: Stuff to Blow your Mind dot com links to all 1019 01:00:07,080 --> 01:00:10,800 Speaker 1: of our social media channels, which is Facebook, Twitter, and Tumbler, 1020 01:00:11,240 --> 01:00:14,200 Speaker 1: where you can find us under the handle below the mind. 1021 01:00:14,640 --> 01:00:17,080 Speaker 1: And if you want to email us with your feedback 1022 01:00:17,080 --> 01:00:20,280 Speaker 1: about the episode we recorded today or part one we 1023 01:00:20,320 --> 01:00:22,520 Speaker 1: did last time, you can email us at blow the 1024 01:00:22,600 --> 01:00:34,720 Speaker 1: Mind at how staff works dot com for more on 1025 01:00:34,840 --> 01:00:37,320 Speaker 1: this and thousands of other topics. Is it how stuff 1026 01:00:37,320 --> 01:00:37,960 Speaker 1: works dot com