1 00:00:06,200 --> 00:00:08,440 Speaker 1: Hey, welcome to Stuff to Blow your Mind. My name 2 00:00:08,480 --> 00:00:11,200 Speaker 1: is Robert Lamb. Again, we are on vacation this week, 3 00:00:11,440 --> 00:00:15,640 Speaker 1: so you've got femail, Part three of three airing right now. 4 00:00:15,760 --> 00:00:19,319 Speaker 1: Originally published five two, twenty twenty five. What more could 5 00:00:19,320 --> 00:00:21,960 Speaker 1: you possibly want new episodes? Well, we'll have this for 6 00:00:22,000 --> 00:00:24,680 Speaker 1: you next week. Hope you enjoy. 7 00:00:27,360 --> 00:00:31,120 Speaker 2: Welcome to Stuff to Blow your Mind production of iHeartRadio. 8 00:00:36,960 --> 00:00:38,879 Speaker 1: Hey you welcome to Stuff to Blow your Mind. My 9 00:00:38,960 --> 00:00:39,760 Speaker 1: name is Robert. 10 00:00:39,600 --> 00:00:42,320 Speaker 3: Lamb and I am Joe McCormick, and we're back with 11 00:00:42,400 --> 00:00:46,640 Speaker 3: part three in our series on urine based communication in 12 00:00:46,680 --> 00:00:51,040 Speaker 3: the animal Kingdom. Humans, of course have the gift of language, 13 00:00:51,080 --> 00:00:56,240 Speaker 3: which is a wonderful multimodal information sharing tool of infinite versatility, 14 00:00:56,760 --> 00:00:59,960 Speaker 3: and the fact that we possess the capacity for complex lange, 15 00:01:00,040 --> 00:01:02,840 Speaker 3: which is maybe the most unique and amazing thing about 16 00:01:02,920 --> 00:01:06,480 Speaker 3: us as a species. But one mode of communication that 17 00:01:06,560 --> 00:01:10,279 Speaker 3: we don't really use, but which is quite popular throughout 18 00:01:10,319 --> 00:01:15,280 Speaker 3: the animal kingdom is communication through urine. So in the 19 00:01:15,360 --> 00:01:18,800 Speaker 3: last couple of episodes we discussed a whole bunch of examples. 20 00:01:19,400 --> 00:01:22,920 Speaker 3: We started off in part one talking about male Amazon 21 00:01:23,040 --> 00:01:26,920 Speaker 3: river dolphins which have been observed doing this amazing thing 22 00:01:26,959 --> 00:01:31,039 Speaker 3: where they pee on each other's faces using aerial streams 23 00:01:31,080 --> 00:01:33,840 Speaker 3: that project over the top of the water. Still an 24 00:01:33,840 --> 00:01:36,000 Speaker 3: open question as to why they do this, but the 25 00:01:36,120 --> 00:01:39,479 Speaker 3: leading explanation seems to be that it's some kind of 26 00:01:39,520 --> 00:01:44,520 Speaker 3: information sharing about fitness and competitive ability. We also talked 27 00:01:44,560 --> 00:01:48,720 Speaker 3: about why animals with urinary bladders usually have voluntary control 28 00:01:48,760 --> 00:01:51,160 Speaker 3: over urination, as opposed to it just kind of leaking 29 00:01:51,200 --> 00:01:54,360 Speaker 3: out whenever wherever, and we also got into a bit 30 00:01:54,400 --> 00:01:58,560 Speaker 3: about urination as a socially negotiated activity in human culture. 31 00:01:59,480 --> 00:02:03,200 Speaker 3: In the last episode, we talked about the vast, mysterious 32 00:02:03,240 --> 00:02:07,560 Speaker 3: world of scent marking in dogs, including all the different 33 00:02:07,640 --> 00:02:10,520 Speaker 3: kinds of information that we know dogs do share with 34 00:02:10,560 --> 00:02:13,760 Speaker 3: each other through urine, but also about how much there 35 00:02:13,880 --> 00:02:17,760 Speaker 3: is to this olfactory literary scene that we still don't understand. 36 00:02:18,160 --> 00:02:21,200 Speaker 3: One interesting question that came up in the context of 37 00:02:21,280 --> 00:02:25,280 Speaker 3: dogs was whether dogs can actually attempt to lie or 38 00:02:25,280 --> 00:02:29,240 Speaker 3: at least exaggerate with their urine marks, one study finding 39 00:02:29,320 --> 00:02:33,360 Speaker 3: evidence that smaller dogs may try to deceive other dogs 40 00:02:33,360 --> 00:02:37,320 Speaker 3: about their size by way of increasingly obtuse leg angles 41 00:02:37,400 --> 00:02:41,080 Speaker 3: when marking an elevated object. Then we also talked about 42 00:02:41,080 --> 00:02:45,600 Speaker 3: the fascinating example of lobster urine. The simplified version is 43 00:02:45,639 --> 00:02:50,239 Speaker 3: that lobsters pee out of their faces into other lobster's faces, 44 00:02:50,680 --> 00:02:55,400 Speaker 3: and these urine exchanges help lobsters navigate highly variable scenarios, 45 00:02:55,440 --> 00:02:59,480 Speaker 3: including courtship and mating, as well as competition and intimidation. 46 00:03:00,240 --> 00:03:02,080 Speaker 3: And we're back today to talk about more. 47 00:03:02,440 --> 00:03:06,840 Speaker 1: Yeah yeah, Returning first, I believe, to the waters and 48 00:03:07,080 --> 00:03:09,360 Speaker 1: discussing something we teased out a little bit in our 49 00:03:09,400 --> 00:03:10,320 Speaker 1: discussion of lobster. 50 00:03:10,600 --> 00:03:13,359 Speaker 3: That's right, so yes. In the previous episode we talked 51 00:03:13,360 --> 00:03:17,280 Speaker 3: about urine based communication in crustaceans. I wanted to return 52 00:03:17,320 --> 00:03:22,079 Speaker 3: to the aquatic domain to mention pmail in fish. So here, 53 00:03:22,120 --> 00:03:24,079 Speaker 3: I wanted to get into a couple of things from 54 00:03:24,160 --> 00:03:29,200 Speaker 3: a paper called Aggressive Communication in Aquatic Environments. This was 55 00:03:29,200 --> 00:03:33,240 Speaker 3: published in the journal Functional Ecology in twenty twenty. The 56 00:03:33,280 --> 00:03:37,920 Speaker 3: author is Johim Frohman, and Frohman is a behavioral ecologist 57 00:03:37,920 --> 00:03:42,360 Speaker 3: at Manchester Metropolitan University in England. I got interested in 58 00:03:42,400 --> 00:03:44,560 Speaker 3: this guy's work because I saw him quoted in an 59 00:03:44,680 --> 00:03:48,760 Speaker 3: article in Scientific American which was covering the Amazon River dolphins, 60 00:03:48,800 --> 00:03:52,680 Speaker 3: talking about how other aquatic species can use urine for communication. 61 00:03:53,280 --> 00:03:56,520 Speaker 3: One example cited in that article had to do with 62 00:03:56,760 --> 00:04:02,280 Speaker 3: mating among stickleback fish. Apparently, female stickleback fish can get 63 00:04:02,360 --> 00:04:06,880 Speaker 3: information about male stickleback fish from their urine, but in 64 00:04:06,920 --> 00:04:10,640 Speaker 3: this case not just the kind of health, dominance, and 65 00:04:10,680 --> 00:04:14,640 Speaker 3: fitness information we've been mostly talking about so far. Instead, 66 00:04:14,840 --> 00:04:18,359 Speaker 3: the stickleback female is looking for information about the male's 67 00:04:18,440 --> 00:04:22,240 Speaker 3: immune system to see if the male's immune system and 68 00:04:22,279 --> 00:04:26,080 Speaker 3: tissue is compatible with her own. So anyway, I looked 69 00:04:26,120 --> 00:04:30,120 Speaker 3: up this paper in functional ecology. It is focused primarily 70 00:04:30,160 --> 00:04:35,760 Speaker 3: on aggressive communication, communication used to negotiate competition and fighting 71 00:04:35,880 --> 00:04:41,400 Speaker 3: among rivals that live in the water. Now, obviously, using 72 00:04:41,560 --> 00:04:45,640 Speaker 3: urine for information sharing works a little bit differently in 73 00:04:45,760 --> 00:04:49,360 Speaker 3: aquatic environments than it does on land. Now why would 74 00:04:49,400 --> 00:04:52,640 Speaker 3: that be? Well, for one thing in the water, Froeman 75 00:04:52,720 --> 00:04:58,359 Speaker 3: points out that you cannot place long lasting territorial scent marks. 76 00:04:58,920 --> 00:05:03,320 Speaker 3: So a daw will tag its physical environment with territorial 77 00:05:03,360 --> 00:05:06,440 Speaker 3: marks it peas on the world, and in doing so, 78 00:05:06,480 --> 00:05:10,599 Speaker 3: it fills the world with information about itself. And also 79 00:05:10,680 --> 00:05:13,440 Speaker 3: it smells the marks left by others in the same places. 80 00:05:13,680 --> 00:05:17,159 Speaker 3: So for the dog, you can consider space itself kind 81 00:05:17,160 --> 00:05:21,080 Speaker 3: of marked up with socially relevant metadata. It is a 82 00:05:21,600 --> 00:05:24,320 Speaker 3: urine based social augmented reality. 83 00:05:25,080 --> 00:05:27,440 Speaker 1: That's a good way of putting it. Yeah, with all 84 00:05:27,480 --> 00:05:32,080 Speaker 1: of our augmented reality VR innovations that we're working on 85 00:05:32,200 --> 00:05:34,960 Speaker 1: Google Class and all of that, we're essentially trying to 86 00:05:35,000 --> 00:05:38,440 Speaker 1: create a world of dog p and the reading of 87 00:05:38,480 --> 00:05:40,360 Speaker 1: dog p for the human experience. 88 00:05:40,480 --> 00:05:43,039 Speaker 3: Yeah, it would be like if we could walk through 89 00:05:43,040 --> 00:05:46,719 Speaker 3: space and just find objects throughout the physical environment tagged 90 00:05:46,760 --> 00:05:49,840 Speaker 3: with the profiles of people who have touched them more 91 00:05:49,920 --> 00:05:53,880 Speaker 3: pen on them, I guess. So lots of other land 92 00:05:53,920 --> 00:05:56,520 Speaker 3: based mammals that we've talked about do this. You know, 93 00:05:56,640 --> 00:05:59,000 Speaker 3: last time we talked about the dwarf mongooses who leave 94 00:05:59,040 --> 00:06:04,080 Speaker 3: the anogen scent marks by doing handstands. But you can't 95 00:06:04,160 --> 00:06:06,799 Speaker 3: really do this kind of thing in the water because 96 00:06:07,000 --> 00:06:10,080 Speaker 3: you're in the water. Froman mentions a couple of reasons 97 00:06:10,080 --> 00:06:13,240 Speaker 3: for this. First of all, chemical cues tend to be 98 00:06:13,320 --> 00:06:16,120 Speaker 3: soluble in water, so the water will actually just wash 99 00:06:16,200 --> 00:06:20,159 Speaker 3: them away, diffuse them, and get rid of any local 100 00:06:20,200 --> 00:06:24,720 Speaker 3: marks that you leave pretty quickly. Beyond that, there is 101 00:06:24,760 --> 00:06:28,320 Speaker 3: a different microbial environment in the water. Fromen writes, quote 102 00:06:28,640 --> 00:06:33,960 Speaker 3: the ubiquitous bacteria in aquatic environments might rapidly degrade any 103 00:06:34,040 --> 00:06:38,400 Speaker 3: scent mark, So for aquatic species, it's just a lot 104 00:06:38,440 --> 00:06:42,520 Speaker 3: harder to associate a chemical mark with a physical location 105 00:06:42,839 --> 00:06:46,600 Speaker 3: across time. Chemical cues in the water tend to be 106 00:06:46,680 --> 00:06:51,800 Speaker 3: more temporary used for what Froman calls short term interactions, 107 00:06:52,240 --> 00:06:56,080 Speaker 3: and they will also more often be associated spatially with 108 00:06:56,400 --> 00:07:00,000 Speaker 3: your own physical body from which they emerge, rather than 109 00:07:00,080 --> 00:07:04,599 Speaker 3: than a fixed, separate place in the environment. So I 110 00:07:04,640 --> 00:07:07,080 Speaker 3: get the feeling that in the water there's gonna be 111 00:07:07,160 --> 00:07:09,240 Speaker 3: less of what you were talking about rob with this 112 00:07:09,279 --> 00:07:11,400 Speaker 3: sort of the werewolf character that can go into a 113 00:07:11,520 --> 00:07:15,240 Speaker 3: room and see the past in the room. Because of 114 00:07:15,280 --> 00:07:18,840 Speaker 3: all these sense associated with physical locations. In the water, 115 00:07:18,920 --> 00:07:21,320 Speaker 3: everything just kind of gets washed around. So I wonder 116 00:07:21,800 --> 00:07:24,960 Speaker 3: if in the water there may be a more Oh, 117 00:07:25,000 --> 00:07:27,680 Speaker 3: I don't know. Maybe you can get little tiny whiffs 118 00:07:27,720 --> 00:07:30,240 Speaker 3: of things that may have once been nearby, but they're 119 00:07:30,240 --> 00:07:33,640 Speaker 3: gonna be a lot less associated with physical places. 120 00:07:34,720 --> 00:07:35,560 Speaker 1: That's a good point. 121 00:07:35,960 --> 00:07:39,120 Speaker 3: So anyway, what are these short term interactions? They include 122 00:07:39,120 --> 00:07:44,520 Speaker 3: things like mate choice what Froeman calls social decisions, detecting 123 00:07:44,560 --> 00:07:49,080 Speaker 3: predatory threats and sharing information about those threats, with other conspecifics. 124 00:07:49,960 --> 00:07:54,120 Speaker 3: The best research on chemical communication underwater has been focused 125 00:07:54,120 --> 00:07:57,160 Speaker 3: on crustaceans, hence all the lobster research we talked about 126 00:07:57,200 --> 00:07:59,520 Speaker 3: last time. There's a bunch of similar work on crayfish 127 00:07:59,560 --> 00:08:03,120 Speaker 3: as well, and Frohman discusses a lot of the same 128 00:08:03,160 --> 00:08:05,600 Speaker 3: stuff we got into, for example, the finding that the 129 00:08:05,960 --> 00:08:11,800 Speaker 3: presence of aggressor urine during competition between lobsters and crayfish 130 00:08:11,800 --> 00:08:16,080 Speaker 3: can actually reduce fighting. Essentially, the information in the urine 131 00:08:16,680 --> 00:08:20,560 Speaker 3: better allows at least one of these crustaceans to figure 132 00:08:20,560 --> 00:08:22,960 Speaker 3: out that the fight is not in their interest. So, 133 00:08:23,280 --> 00:08:26,160 Speaker 3: in a way, you could think of actual physical fighting 134 00:08:26,200 --> 00:08:31,000 Speaker 3: in nature often being the result of confusion or ambiguity. 135 00:08:31,360 --> 00:08:34,840 Speaker 3: You know, it happens when the competitors don't have enough 136 00:08:34,880 --> 00:08:38,400 Speaker 3: information to figure out in advance who would probably win. 137 00:08:39,400 --> 00:08:43,640 Speaker 1: Yeah, this is something that you can certainly relate to 138 00:08:44,080 --> 00:08:47,280 Speaker 1: human gambling scenarios. In some cases, you could be talking 139 00:08:47,280 --> 00:08:52,040 Speaker 1: about actual gambling for money, or various games and little 140 00:08:52,080 --> 00:08:54,720 Speaker 1: card games and apps in which there is like the 141 00:08:54,720 --> 00:08:57,560 Speaker 1: gambling of some sort of unit but not actual that 142 00:08:57,760 --> 00:09:00,320 Speaker 1: doesn't have an actual monetary value, or at least verb 143 00:09:00,360 --> 00:09:05,120 Speaker 1: monetary value. There is often often comes down to a 144 00:09:05,200 --> 00:09:07,440 Speaker 1: question of should I fold or not, or should I 145 00:09:07,480 --> 00:09:10,199 Speaker 1: you know, up the ante, should I keep playing and 146 00:09:10,240 --> 00:09:12,800 Speaker 1: trying to evaluate do I have a shot at winning? 147 00:09:13,600 --> 00:09:16,960 Speaker 1: And you know, that's very much the same math that's 148 00:09:17,000 --> 00:09:21,520 Speaker 1: going on for these various organisms using the data that 149 00:09:21,600 --> 00:09:23,679 Speaker 1: is available to them, which might be available to them 150 00:09:23,720 --> 00:09:24,840 Speaker 1: in the form of urine. 151 00:09:25,000 --> 00:09:26,920 Speaker 3: That's a good analogy. Yeah, So the sharing of the 152 00:09:27,080 --> 00:09:29,880 Speaker 3: urine could essentially be like the poker players just showing 153 00:09:29,920 --> 00:09:33,439 Speaker 3: each other their cards. You're like not keeping them hidden anymore, 154 00:09:33,520 --> 00:09:35,760 Speaker 3: so one player immediately knows I'm. 155 00:09:35,600 --> 00:09:37,480 Speaker 1: Just going to fold, yeah, Or there's always going to 156 00:09:37,480 --> 00:09:40,280 Speaker 1: be a certain amount of data on the table, right, yeah, 157 00:09:40,520 --> 00:09:42,520 Speaker 1: and that that is often going to be the main 158 00:09:42,600 --> 00:09:44,200 Speaker 1: data you're going to go on in a card game. 159 00:09:44,520 --> 00:09:46,680 Speaker 1: Now there's the added wrinkle, of course in a card game, 160 00:09:46,720 --> 00:09:49,839 Speaker 1: and that your opponent may want you to venture into 161 00:09:50,200 --> 00:09:52,920 Speaker 1: combat that you couldn't win in order to increase the 162 00:09:52,960 --> 00:09:58,480 Speaker 1: spoils of the game. Generally, it's not quite what you're 163 00:09:58,480 --> 00:10:01,280 Speaker 1: looking at when you're dealing with me competition in the wild. 164 00:10:01,400 --> 00:10:04,760 Speaker 3: Oh yeah, that'd be interesting to see if there are 165 00:10:04,960 --> 00:10:08,240 Speaker 3: examples of that in nature, where like the opponent would 166 00:10:08,280 --> 00:10:10,680 Speaker 3: want to keep, you know, getting you to up the 167 00:10:10,720 --> 00:10:14,520 Speaker 3: ante and bluff you along. But yeah, usually I think 168 00:10:14,600 --> 00:10:17,480 Speaker 3: even the stronger party would prefer to avoid a fight. 169 00:10:17,760 --> 00:10:18,319 Speaker 1: Yeah. 170 00:10:18,360 --> 00:10:22,760 Speaker 3: Anyway, So Froman here mentions a variable called resource holding 171 00:10:22,840 --> 00:10:25,880 Speaker 3: potential or RHP. You might see this referred to in 172 00:10:25,920 --> 00:10:29,800 Speaker 3: some papers like this. Basically, it's a variable that means 173 00:10:29,840 --> 00:10:33,800 Speaker 3: an individual animal's ability to win a fight. So urine 174 00:10:33,920 --> 00:10:40,280 Speaker 3: helps communicate your RHP, making the actual fight unnecessary. So 175 00:10:40,400 --> 00:10:43,880 Speaker 3: after talking about urine and RHP in crustaceans, Froman goes 176 00:10:43,920 --> 00:10:47,880 Speaker 3: on to talk about fish, saying similar uses of chemical 177 00:10:47,960 --> 00:10:52,960 Speaker 3: signals have been observed in several African cichlid species and 178 00:10:53,240 --> 00:10:58,439 Speaker 3: in some tilapia to establish RHP dominance without needing a fight. 179 00:10:59,400 --> 00:11:02,280 Speaker 3: But here we get to something interesting that came up 180 00:11:02,280 --> 00:11:06,480 Speaker 3: in the last episode. In part two, we talked about 181 00:11:06,760 --> 00:11:11,680 Speaker 3: some good reasons for thinking that dogs use urine based 182 00:11:11,760 --> 00:11:16,560 Speaker 3: signals to encode not only the kind of fixed feeling 183 00:11:16,640 --> 00:11:22,319 Speaker 3: information about individual identity, health and fitness, sex, and mating status, 184 00:11:22,800 --> 00:11:28,959 Speaker 3: but much more fleeting momentary things like psychological information. I 185 00:11:29,080 --> 00:11:32,120 Speaker 3: remember the example we talked about last time was that 186 00:11:32,280 --> 00:11:38,160 Speaker 3: domestic dogs have been found to detect biomarkers of stress 187 00:11:38,400 --> 00:11:42,479 Speaker 3: in human urine, and they seem to use that information. 188 00:11:42,679 --> 00:11:45,840 Speaker 3: They use it in cognition and learning. Still to be 189 00:11:45,920 --> 00:11:50,160 Speaker 3: determined to what extent, if any, dogs use that information 190 00:11:50,800 --> 00:11:53,800 Speaker 3: from scent markings urine markings about each other, but it 191 00:11:53,800 --> 00:11:56,800 Speaker 3: seems quite plausible that they do that. They're saying, oh, 192 00:11:56,920 --> 00:11:59,920 Speaker 3: not just this, this is Jeff the dog down the street, 193 00:12:00,160 --> 00:12:03,120 Speaker 3: and not just health status. Does it have parasites and 194 00:12:03,160 --> 00:12:06,920 Speaker 3: all that, but also like Jeff is stressed out or 195 00:12:07,000 --> 00:12:09,680 Speaker 3: Jeff is happy, and that might affect how the dog 196 00:12:09,720 --> 00:12:12,880 Speaker 3: that smells the pea behaves. We don't know for sure, 197 00:12:12,920 --> 00:12:16,600 Speaker 3: but it seems plausible that it does so to some extent. 198 00:12:16,840 --> 00:12:19,480 Speaker 3: This kind of I would say, makes sense to us 199 00:12:19,480 --> 00:12:23,880 Speaker 3: with dogs. It's fascinating, but it's not crazy, because we 200 00:12:23,920 --> 00:12:28,559 Speaker 3: already think of dogs as emotional animals with emotional inner lives. 201 00:12:28,640 --> 00:12:33,240 Speaker 3: Their feelings and motivation states are familiar and meaningful to us. 202 00:12:34,040 --> 00:12:37,560 Speaker 3: But it seems there are some likely equivalents to this 203 00:12:38,120 --> 00:12:42,640 Speaker 3: pea based emotion or at least motivation state sharing, even 204 00:12:42,679 --> 00:12:46,280 Speaker 3: among the colder and less snugly inhabitants of the water. 205 00:12:47,120 --> 00:12:49,320 Speaker 3: I think you could say that lobsters, as we talked 206 00:12:49,320 --> 00:12:52,600 Speaker 3: about last time, and even fish to some extent, pee 207 00:12:52,600 --> 00:12:57,920 Speaker 3: their feelings. Froeman mentions that quote in juvenile nile Telapia 208 00:12:58,200 --> 00:13:05,040 Speaker 3: or Oreochromis nylocticus, the exchange of chemical cues informs about 209 00:13:05,080 --> 00:13:11,200 Speaker 3: the sender's motivation and about individual identity, and then also 210 00:13:11,320 --> 00:13:16,280 Speaker 3: speaking about neolam prologus pulture from and writes quote in 211 00:13:16,360 --> 00:13:20,520 Speaker 3: this species, members of both sexes changed their urination patterns 212 00:13:20,559 --> 00:13:27,560 Speaker 3: during agonistic encounters agonistic meaning aggressive encounters. Competition quote blocking 213 00:13:27,600 --> 00:13:32,200 Speaker 3: olfactory contact between contestants led to an increase in fight 214 00:13:32,320 --> 00:13:36,079 Speaker 3: intensity and to a higher rate of overt aggressive attacks, 215 00:13:36,120 --> 00:13:38,920 Speaker 3: in line with what we've talked about before, but going 216 00:13:38,960 --> 00:13:43,640 Speaker 3: on quote, As larger individuals excreted larger amounts of urine, 217 00:13:44,000 --> 00:13:47,640 Speaker 3: chemical cues might be a reliable proxy of the opponent's 218 00:13:47,640 --> 00:13:52,800 Speaker 3: body size, which might be beneficial, especially under turbid conditions. Furthermore, 219 00:13:52,840 --> 00:13:57,600 Speaker 3: an aggression mediated increase in urination frequency was accompanied by 220 00:13:57,640 --> 00:14:03,640 Speaker 3: an increased amount of conjugated eleven keto testosterone in the water. Thus, 221 00:14:03,880 --> 00:14:08,600 Speaker 3: urine might not only transfer information about the contestants resource 222 00:14:08,640 --> 00:14:14,559 Speaker 3: holding potential, but also about the opponent's motivational state. So again, 223 00:14:14,679 --> 00:14:18,960 Speaker 3: something about what this the urine might communicate, something about 224 00:14:19,000 --> 00:14:21,800 Speaker 3: what is going on essentially in the brain, in the 225 00:14:21,840 --> 00:14:25,960 Speaker 3: nervous system of the other fish, what they want, what 226 00:14:26,040 --> 00:14:30,280 Speaker 3: they intend to do, which I guess it's debatable whether 227 00:14:30,480 --> 00:14:34,440 Speaker 3: you would call that motivational state an emotion, but I 228 00:14:34,440 --> 00:14:37,640 Speaker 3: think the case could be made. Emotions and motivational states 229 00:14:37,640 --> 00:14:40,960 Speaker 3: have significant overlap, at least in humans and in other animals. 230 00:14:40,960 --> 00:14:41,680 Speaker 3: We can think of. 231 00:14:42,280 --> 00:14:45,280 Speaker 1: Yeah, yeah, I mean, from the human standpoint, if there 232 00:14:45,360 --> 00:14:51,160 Speaker 1: is a standoff between two human beings, the broadcasting of 233 00:14:51,200 --> 00:14:55,720 Speaker 1: emotional state, be it an honest broadcast or an attempted deception, 234 00:14:55,920 --> 00:14:58,280 Speaker 1: is going to be an important part of that standoff. 235 00:14:58,760 --> 00:15:02,240 Speaker 1: You know, how mean they looking, how cool are they looking, 236 00:15:03,120 --> 00:15:03,840 Speaker 1: and so forth. 237 00:15:04,200 --> 00:15:06,440 Speaker 3: And of course this squares with what you were talking 238 00:15:06,440 --> 00:15:10,239 Speaker 3: about last time, Rob with the lobster urine. In competition 239 00:15:10,360 --> 00:15:16,320 Speaker 3: between aggressive lobsters, the urine shares state information about, for example, 240 00:15:16,440 --> 00:15:21,000 Speaker 3: prior victory or defeat in these agonistic encounters. Sounds a 241 00:15:21,040 --> 00:15:25,040 Speaker 3: lot like Again, people might people might quibble with the 242 00:15:25,120 --> 00:15:28,040 Speaker 3: use of the word emotion, but that feels something like 243 00:15:28,080 --> 00:15:31,400 Speaker 3: emotion to me, like feeling victorious or feeling defeated. 244 00:15:31,640 --> 00:15:33,760 Speaker 1: Yeah, like like I believe one of the papers was 245 00:15:33,920 --> 00:15:36,040 Speaker 1: I was talking about there being a lot of serotonin 246 00:15:36,680 --> 00:15:39,320 Speaker 1: in the urine of a victorious lobster. You know, it's 247 00:15:40,720 --> 00:15:43,760 Speaker 1: it's that an emotional stay. Maybe not, but it's saying 248 00:15:43,840 --> 00:15:50,520 Speaker 1: something about like where that that creature's physiology is following 249 00:15:50,560 --> 00:15:52,320 Speaker 1: a specific victory. 250 00:15:52,440 --> 00:15:55,800 Speaker 3: So I don't know when we started doing this series 251 00:15:55,960 --> 00:15:59,960 Speaker 3: about about urine based communication, I don't think I realized 252 00:16:00,080 --> 00:16:02,000 Speaker 3: we would come up with so many examples where it 253 00:16:02,000 --> 00:16:06,560 Speaker 3: looked like the urine was not only sharing just the 254 00:16:06,680 --> 00:16:09,560 Speaker 3: more relatively fix I mean, I guess nothing biological is 255 00:16:09,560 --> 00:16:13,840 Speaker 3: really fixed, but the more stable sort of biological health 256 00:16:13,960 --> 00:16:19,360 Speaker 3: information not just that, but sharing something like psychological information, 257 00:16:19,520 --> 00:16:22,520 Speaker 3: sharing something the urine says something about what's going on 258 00:16:22,960 --> 00:16:26,320 Speaker 3: in your nervous system and in your brain, which we 259 00:16:26,400 --> 00:16:29,960 Speaker 3: may call emotions or we may call intentions or motivations. 260 00:16:30,280 --> 00:16:34,160 Speaker 3: That's being communicated through urine as well. And to me, 261 00:16:34,280 --> 00:16:36,960 Speaker 3: that makes it a lot more like what we think 262 00:16:37,000 --> 00:16:39,640 Speaker 3: of with language. I mean, we've made these distinctions before 263 00:16:39,760 --> 00:16:43,200 Speaker 3: about the differences between what you can say with urine 264 00:16:43,320 --> 00:16:46,320 Speaker 3: versus what you can say with language. Obviously, language is 265 00:16:46,360 --> 00:16:50,760 Speaker 3: going to be much much more versatile because you can intentionally, 266 00:16:50,840 --> 00:16:54,840 Speaker 3: voluntarily craft an infinite number of different kinds of messages, 267 00:16:55,240 --> 00:16:59,800 Speaker 3: truthful or deceptive, and urine may not have that level 268 00:16:59,800 --> 00:17:04,360 Speaker 3: of versatility, but it can communicate not just these sort 269 00:17:04,400 --> 00:17:08,080 Speaker 3: of stable facts about the body, but can communicate this 270 00:17:08,160 --> 00:17:11,680 Speaker 3: fleeting information about the mind and if you want to 271 00:17:11,680 --> 00:17:15,600 Speaker 3: get touchy feely the soul. I guess that just causes 272 00:17:15,640 --> 00:17:18,399 Speaker 3: me to think about P based communication as something with 273 00:17:18,480 --> 00:17:24,720 Speaker 3: more potential for kind of meaning and complexity. You know 274 00:17:24,880 --> 00:17:28,719 Speaker 3: that it carries potentially emotional information, that it lends itself 275 00:17:28,760 --> 00:17:31,480 Speaker 3: more to the idea that there could be P based literature. 276 00:17:32,119 --> 00:17:34,760 Speaker 1: Yeah, yeah, I think yeah. By and large, all this 277 00:17:34,840 --> 00:17:38,800 Speaker 1: information we're looking at does drive home the fact that 278 00:17:38,920 --> 00:17:42,640 Speaker 1: humans just don't We don't speak urine for the most part. 279 00:17:42,720 --> 00:17:47,720 Speaker 1: We have a very blunt understanding of what urine is 280 00:17:47,760 --> 00:17:49,800 Speaker 1: and what it can convey, and it's just a much 281 00:17:49,880 --> 00:17:52,800 Speaker 1: richer experience for other animals, to the point that it's 282 00:17:52,840 --> 00:17:56,639 Speaker 1: not really urine for them anymore, not in the human sense, 283 00:17:57,440 --> 00:18:00,159 Speaker 1: Like our language for urine is kind of inadequate to 284 00:18:00,359 --> 00:18:13,600 Speaker 1: truly describe what it is for various other species. Now 285 00:18:13,640 --> 00:18:16,520 Speaker 1: I want to bring things back to the mammal world 286 00:18:16,600 --> 00:18:20,439 Speaker 1: here to the surface world, in particular, to talk about 287 00:18:21,000 --> 00:18:23,919 Speaker 1: the flemen response. This may have been on some of 288 00:18:23,960 --> 00:18:27,159 Speaker 1: your minds as we were talking about this topic in 289 00:18:27,200 --> 00:18:32,240 Speaker 1: earlier episodes, because in evaluating the urine communication of another, 290 00:18:32,760 --> 00:18:36,360 Speaker 1: it may prove necessary to assume the fleming response, as 291 00:18:36,359 --> 00:18:40,720 Speaker 1: it was dubbed by German zoologist Karl max Schneider in 292 00:18:40,760 --> 00:18:43,520 Speaker 1: the nineteen thirties, but the expression itself had been known 293 00:18:43,560 --> 00:18:46,720 Speaker 1: to naturalists since at least the eighteenth century. The term 294 00:18:46,800 --> 00:18:51,000 Speaker 1: flemen apparently comes from upper saxon German, where it means 295 00:18:51,080 --> 00:18:53,959 Speaker 1: to curl the upper lip and or to look spiteful. 296 00:18:54,720 --> 00:18:57,760 Speaker 1: It's not just for smelling urine, but that's certainly one 297 00:18:57,840 --> 00:19:00,280 Speaker 1: of the odorous bouquets that it picks upon. 298 00:19:00,800 --> 00:19:04,480 Speaker 3: So the word am I understanding in the human context 299 00:19:04,480 --> 00:19:08,560 Speaker 3: originally refers to an expression like a sneer the curled lip. 300 00:19:08,960 --> 00:19:12,720 Speaker 1: Yeah, a sneer that you know, honestly, I don't know 301 00:19:12,800 --> 00:19:16,639 Speaker 1: that you see, or I don't know, I feel like 302 00:19:16,640 --> 00:19:20,040 Speaker 1: you don't see. People make this face a lot, and 303 00:19:20,119 --> 00:19:21,760 Speaker 1: we'll come back to one of the reasons why. But 304 00:19:22,280 --> 00:19:24,720 Speaker 1: in general, like how often do you see someone do 305 00:19:24,840 --> 00:19:28,200 Speaker 1: like a spiteful sneer in which they expose their upper teeth. 306 00:19:28,640 --> 00:19:31,680 Speaker 1: Like the main example I was finding. I found a 307 00:19:31,720 --> 00:19:33,840 Speaker 1: couple of articles that had a picture of Harrison Ford 308 00:19:34,000 --> 00:19:37,480 Speaker 1: doing the face, you know, maybe accidentally in the midst 309 00:19:37,480 --> 00:19:39,960 Speaker 1: of talking or something. But for the most part, the 310 00:19:40,000 --> 00:19:42,600 Speaker 1: main thing I was reminded of is the snarl that 311 00:19:42,640 --> 00:19:46,560 Speaker 1: Bela Lugosi gives in some of the in some one 312 00:19:46,600 --> 00:19:50,439 Speaker 1: particular scene, but also some production stills for the nineteen 313 00:19:50,480 --> 00:19:51,400 Speaker 1: thirties Dracula. 314 00:19:51,680 --> 00:19:53,760 Speaker 3: Oh okay, you attached a picture in the outline, and 315 00:19:53,840 --> 00:19:56,800 Speaker 3: I can see that he he almost looks not quite 316 00:19:56,920 --> 00:19:58,879 Speaker 3: human here. It looks a bit like a like a 317 00:19:58,920 --> 00:19:59,520 Speaker 3: big cat. 318 00:20:00,119 --> 00:20:03,119 Speaker 1: Yeah, yeah, exactly. And that's key because we do see 319 00:20:03,160 --> 00:20:06,600 Speaker 1: this in cats. We see it in big cats, and 320 00:20:06,640 --> 00:20:09,280 Speaker 1: we see it in house cats, and in the world 321 00:20:09,320 --> 00:20:12,720 Speaker 1: of house cats it is sometimes informally referred to as 322 00:20:13,000 --> 00:20:14,480 Speaker 1: the stinky kitty face. 323 00:20:17,119 --> 00:20:17,920 Speaker 3: I didn't know about that. 324 00:20:18,320 --> 00:20:20,360 Speaker 1: Yeah, it's one of these things where you know, as 325 00:20:20,359 --> 00:20:22,760 Speaker 1: a cat owner it's going to obviously things are going 326 00:20:22,800 --> 00:20:26,119 Speaker 1: to vary depending on the exact nature and personality of 327 00:20:26,160 --> 00:20:29,440 Speaker 1: your cat, but it's something you'll pick up on them 328 00:20:29,480 --> 00:20:31,679 Speaker 1: doing from time to time, they might be checking out 329 00:20:31,760 --> 00:20:35,480 Speaker 1: something that you would associate with a smell, like, I 330 00:20:35,520 --> 00:20:38,280 Speaker 1: don't know, a spot on the couch or a pair 331 00:20:38,280 --> 00:20:41,480 Speaker 1: of shoes, that sort of thing. It might also just 332 00:20:41,520 --> 00:20:44,560 Speaker 1: be a little less clear what they are responding to, 333 00:20:44,880 --> 00:20:47,840 Speaker 1: but generally the idea is that they are assuming this 334 00:20:48,440 --> 00:20:51,400 Speaker 1: kind of a sneer that also looks a little bit goofy, 335 00:20:52,320 --> 00:20:57,040 Speaker 1: and what they are doing is they are heightening their 336 00:20:57,240 --> 00:21:02,679 Speaker 1: exposure to the odor so as to better analyze it. Interesting, So, 337 00:21:02,880 --> 00:21:06,880 Speaker 1: in general, across various animals, you're going to see this 338 00:21:07,080 --> 00:21:09,800 Speaker 1: generally entailing a curling back of the upper lip, exposure 339 00:21:09,840 --> 00:21:12,960 Speaker 1: of the top teeth, and breathing. And then they're going 340 00:21:13,040 --> 00:21:16,040 Speaker 1: to breathe in slowly through the mouth alone. And this 341 00:21:16,200 --> 00:21:19,800 Speaker 1: is all about allowing better access of smells and pheromones 342 00:21:19,840 --> 00:21:23,320 Speaker 1: to the specialized vomber nasal organ, the vn O or 343 00:21:23,359 --> 00:21:29,040 Speaker 1: the Jacobsen's organ. This is a chemoreception organ in the 344 00:21:29,119 --> 00:21:33,160 Speaker 1: roof of the mouth. This occurs in ungulates as well, 345 00:21:33,480 --> 00:21:37,440 Speaker 1: horses and giraftes, which both smell and in the latter 346 00:21:37,520 --> 00:21:41,199 Speaker 1: example of the diraffe's they also taste the urine of 347 00:21:41,320 --> 00:21:42,800 Speaker 1: mares that are in estrus. 348 00:21:43,000 --> 00:21:45,640 Speaker 3: Huh okay, well wait a minute. That makes me wonder 349 00:21:45,680 --> 00:21:49,240 Speaker 3: if all these other mammals have a vombar nasal organ 350 00:21:49,720 --> 00:21:52,520 Speaker 3: do we have one? Can we? Can we smell with 351 00:21:52,560 --> 00:21:53,760 Speaker 3: the roof of our mouth like this? 352 00:21:54,359 --> 00:21:57,280 Speaker 1: Humans do not, so far as anyone can apparently tell, 353 00:21:57,320 --> 00:21:59,600 Speaker 1: have one of these, at least not a functional one. 354 00:21:59,680 --> 00:22:05,480 Speaker 1: Is a According to twenty fourteen's Encyclopedia of the Neurological Sciences, 355 00:22:05,520 --> 00:22:08,960 Speaker 1: second edition by Moon, at all vomor on nasal organs 356 00:22:09,080 --> 00:22:13,680 Speaker 1: are prominent in the fetus and show up vestigially in adults. 357 00:22:14,280 --> 00:22:16,800 Speaker 1: Though there has apparently been a lot of back and 358 00:22:16,840 --> 00:22:19,720 Speaker 1: forth debate over this, it seems like the majority of view, though, 359 00:22:19,800 --> 00:22:23,760 Speaker 1: is that while some primates have functional vomiting and nasal organs, 360 00:22:24,119 --> 00:22:27,320 Speaker 1: mainly like New World monkeys, chimps, and humans do not. 361 00:22:27,960 --> 00:22:28,520 Speaker 3: Interesting. 362 00:22:28,880 --> 00:22:31,359 Speaker 1: I'd also point out something that I saw referenced in 363 00:22:31,400 --> 00:22:36,960 Speaker 1: an article is that the obviousness of the fleming response 364 00:22:37,200 --> 00:22:43,280 Speaker 1: to humans in another organism, like how pronounced the fleming 365 00:22:43,359 --> 00:22:48,560 Speaker 1: response is, doesn't necessarily correlate to how strong their ability 366 00:22:48,600 --> 00:22:51,840 Speaker 1: to sense things happens to be, which I guess is 367 00:22:51,920 --> 00:22:54,480 Speaker 1: kind of a no brainer. When you're driving home like that. 368 00:22:54,680 --> 00:22:57,879 Speaker 1: But you know, some fleming responses are really wild, like 369 00:22:58,080 --> 00:23:01,320 Speaker 1: included a photo here of a horse's women response where 370 00:23:01,359 --> 00:23:05,240 Speaker 1: they just look like matt demons, whereas certainly a housecat's 371 00:23:05,240 --> 00:23:08,560 Speaker 1: flimen response just looks a little bit funny. You know. 372 00:23:08,680 --> 00:23:14,040 Speaker 1: But our interpretation of it doesn't actually necessarily give us 373 00:23:14,040 --> 00:23:17,000 Speaker 1: any clues into how strong their ability to sense things 374 00:23:17,040 --> 00:23:19,879 Speaker 1: happens to be. But we again, we certainly see it 375 00:23:19,920 --> 00:23:22,720 Speaker 1: again in ungulates and dogs and cats and other mammals. 376 00:23:22,920 --> 00:23:25,640 Speaker 1: I've even seen articles looking at the fleming response in 377 00:23:25,840 --> 00:23:29,200 Speaker 1: things like sea otters and elephants. So it's all over 378 00:23:29,240 --> 00:23:29,639 Speaker 1: the place. 379 00:23:30,600 --> 00:23:32,520 Speaker 3: That's interesting. I'm going to be on the lookout for 380 00:23:32,560 --> 00:23:32,960 Speaker 3: it now. 381 00:23:33,760 --> 00:23:36,760 Speaker 1: Yeah, if you spend any time with cats, you will 382 00:23:36,760 --> 00:23:40,440 Speaker 1: see the stinky kitty face from time to time. And yeah, 383 00:23:40,480 --> 00:23:42,520 Speaker 1: it's just a sign that there's some sort of smell 384 00:23:42,560 --> 00:23:44,560 Speaker 1: going on. Don't take it personally. It doesn't mean it's 385 00:23:44,600 --> 00:23:47,800 Speaker 1: you or something in your environment. They might just but 386 00:23:47,880 --> 00:23:50,919 Speaker 1: something has occurred or they've noticed something that requires just 387 00:23:50,960 --> 00:23:52,920 Speaker 1: a little more in depth analysis. 388 00:23:53,600 --> 00:23:56,080 Speaker 3: Well, I would like to transition to something else, but 389 00:23:56,080 --> 00:23:58,440 Speaker 3: we're gonna stick with mammals at least for the moment, 390 00:23:58,520 --> 00:24:00,920 Speaker 3: so I want to mention an interesting paper I came 391 00:24:00,960 --> 00:24:06,200 Speaker 3: across about social urination in mammals, which may or may 392 00:24:06,240 --> 00:24:10,479 Speaker 3: not turn out to be communicative in nature. This paper 393 00:24:10,520 --> 00:24:15,800 Speaker 3: was by ana Onishi, James Brooks, Sota Inoe, and Shinya Yamamoto, 394 00:24:16,440 --> 00:24:19,800 Speaker 3: published in Current Biology in twenty twenty five this year, 395 00:24:20,240 --> 00:24:25,800 Speaker 3: and it's called socially contagious urination in Chimpanzees, So I 396 00:24:25,840 --> 00:24:29,600 Speaker 3: hope that title's got your interest piqued. The authors here 397 00:24:29,720 --> 00:24:33,360 Speaker 3: are affiliated with a few different institutions in Japan, such 398 00:24:33,359 --> 00:24:37,119 Speaker 3: as Kyoto University. I was also reading an article about 399 00:24:37,119 --> 00:24:39,679 Speaker 3: this paper in Scientific American that I wanted to flag. 400 00:24:39,760 --> 00:24:43,320 Speaker 3: This was by Megan Bartel's from January twenty twenty five, 401 00:24:44,119 --> 00:24:49,520 Speaker 3: so apparently the lead author on this paper, ana Onishi, 402 00:24:49,880 --> 00:24:54,879 Speaker 3: was inspired in part by the fact that humans often 403 00:24:54,960 --> 00:24:58,879 Speaker 3: seemed to treat urination as a social behavior. This kind 404 00:24:58,920 --> 00:25:01,240 Speaker 3: of came up in our first episode of the series. 405 00:25:01,720 --> 00:25:05,360 Speaker 3: Despite the fact that we often think of urination as 406 00:25:05,359 --> 00:25:08,399 Speaker 3: a solitary activity, an activity where we seek at least 407 00:25:08,440 --> 00:25:12,760 Speaker 3: a visual isolation for the sake of modesty, in reality, 408 00:25:12,920 --> 00:25:16,920 Speaker 3: people often do treat urination or trips to the bathroom 409 00:25:17,040 --> 00:25:20,119 Speaker 3: as social occasions. So think about it like this. You 410 00:25:20,160 --> 00:25:24,840 Speaker 3: are out somewhere and a restaurant or a concert, public event, 411 00:25:25,160 --> 00:25:28,520 Speaker 3: and somebody from the group you're with says they're going 412 00:25:28,560 --> 00:25:31,360 Speaker 3: to go to the bathroom, and then somebody else says, oh, 413 00:25:31,359 --> 00:25:33,720 Speaker 3: wait up, I'll go with you, and then somebody else 414 00:25:33,760 --> 00:25:38,120 Speaker 3: says me too. Hey, it is actually a socially organized 415 00:25:38,280 --> 00:25:41,760 Speaker 3: social trip to the bathroom. People are urinating as a group. 416 00:25:42,080 --> 00:25:44,440 Speaker 1: You know, I hadn't thought about this as much until 417 00:25:44,440 --> 00:25:48,080 Speaker 1: you mentioned it. But you could also factor our social 418 00:25:48,119 --> 00:25:51,600 Speaker 1: technology into this equation and say, well, what even if 419 00:25:51,600 --> 00:25:54,720 Speaker 1: you go to the bathroom by yourself during one of 420 00:25:54,720 --> 00:25:58,080 Speaker 1: these situations, there's a very strong possibility you are going 421 00:25:58,119 --> 00:26:00,359 Speaker 1: to check your phone, and in doing so, you are 422 00:26:00,400 --> 00:26:05,360 Speaker 1: going to engage in some alternate online socialization whilst going 423 00:26:05,359 --> 00:26:07,320 Speaker 1: to the bathroom. I don't know to what extent we 424 00:26:07,320 --> 00:26:10,600 Speaker 1: should factor that into all of this, but maybe you 425 00:26:10,600 --> 00:26:13,240 Speaker 1: could make a case or even solitary urination is social 426 00:26:13,760 --> 00:26:15,919 Speaker 1: given the right technology. 427 00:26:16,040 --> 00:26:21,240 Speaker 3: Socially coordinated, synchronized trips to urinate are actually very common. 428 00:26:21,600 --> 00:26:24,600 Speaker 3: And this is not just part of American culture where 429 00:26:24,640 --> 00:26:27,800 Speaker 3: I'm familiar with it. The author of this scientific American 430 00:26:27,880 --> 00:26:31,359 Speaker 3: article actually mentions there is a word in Japanese. It 431 00:26:31,440 --> 00:26:35,240 Speaker 3: is sura sean t s u r E s h 432 00:26:35,320 --> 00:26:39,120 Speaker 3: o n, which refers to the phenomenon where people get 433 00:26:39,200 --> 00:26:40,760 Speaker 3: up and go to the bathroom as a group. 434 00:26:42,240 --> 00:26:44,000 Speaker 1: That would be interesting to get into. It makes me 435 00:26:44,000 --> 00:26:49,080 Speaker 1: think of the various kai traditions that involve the potential threats, 436 00:26:49,520 --> 00:26:52,359 Speaker 1: or at least that the very scary things that it 437 00:26:52,359 --> 00:26:55,280 Speaker 1: can occur when you go to a dark bathroom at 438 00:26:55,359 --> 00:26:58,520 Speaker 1: night by yourself. Yeah. I can't help but wonder to 439 00:26:58,560 --> 00:27:01,280 Speaker 1: what extent these two things might be connected culturally. 440 00:27:01,359 --> 00:27:05,200 Speaker 3: Yeah, the bathroom stall ghosts. Yeah. And there are other 441 00:27:05,480 --> 00:27:11,359 Speaker 3: examples of biological activities that seem to be socially contagious. 442 00:27:11,800 --> 00:27:15,280 Speaker 3: One example is yawning, and I think we've all experienced this. 443 00:27:15,400 --> 00:27:17,719 Speaker 3: Somebody else yawns, you see them yawn and then you 444 00:27:17,800 --> 00:27:22,400 Speaker 3: yawn yourself, or maybe even inter species contagious yawning. You 445 00:27:22,520 --> 00:27:26,000 Speaker 3: yawn and then your dog yawns, or vice versa. A 446 00:27:26,119 --> 00:27:30,120 Speaker 3: very interesting question about why seeing somebody else yawn makes 447 00:27:30,160 --> 00:27:32,480 Speaker 3: you more likely to yawn. Maybe we could come back 448 00:27:32,520 --> 00:27:34,240 Speaker 3: to that in the future, if we haven't done a 449 00:27:34,480 --> 00:27:35,760 Speaker 3: whole episode on that before. 450 00:27:37,080 --> 00:27:37,240 Speaker 1: Have. 451 00:27:37,280 --> 00:27:38,480 Speaker 3: We actually don't remember. 452 00:27:38,480 --> 00:27:41,440 Speaker 1: I don't think we have. Yawning. Yeah, that would be 453 00:27:41,520 --> 00:27:44,320 Speaker 1: a good one, you know, if only to generate the 454 00:27:44,359 --> 00:27:46,960 Speaker 1: responses that. I can't believe they did an episode on yawning. 455 00:27:47,880 --> 00:27:50,640 Speaker 1: So boring. No, it's probably pretty exciting. 456 00:27:51,080 --> 00:27:54,800 Speaker 3: Also, scratching, Hey, that's exciting. What's more exciting than the scratching? 457 00:27:55,480 --> 00:27:58,800 Speaker 3: Scratching is contagious as well, socially contagious. Scratching. You see 458 00:27:58,800 --> 00:28:00,760 Speaker 3: somebody scratch, you're more likely to scratch. 459 00:28:00,960 --> 00:28:03,000 Speaker 1: Yeah, scratching could be Yeah, it could easily be its 460 00:28:03,000 --> 00:28:06,080 Speaker 1: own episode as well. That one gets pretty intense anyway. 461 00:28:06,520 --> 00:28:11,199 Speaker 3: So, while observing chimpanzees as a doctoral researcher at the 462 00:28:11,400 --> 00:28:15,879 Speaker 3: Kyoto University Wildlife Research Center, the lead author of this paper, 463 00:28:16,240 --> 00:28:22,120 Speaker 3: Onishi thought she observed a similar pattern of socially contagious 464 00:28:22,240 --> 00:28:27,200 Speaker 3: urination among the chimpanzees, so she staged a quantitative experiment 465 00:28:27,240 --> 00:28:30,640 Speaker 3: to measure whether this was really the case. The way 466 00:28:30,680 --> 00:28:34,560 Speaker 3: it worked is researchers studied a group of twenty chimpanzees 467 00:28:34,640 --> 00:28:38,320 Speaker 3: living in captivity at a place called Kumamoto Sanctuary in Japan, 468 00:28:39,280 --> 00:28:43,440 Speaker 3: and they filmed them and reviewed more than six hundred 469 00:28:43,480 --> 00:28:48,560 Speaker 3: hours of footage to meticulously track exactly when each ape urinated, 470 00:28:49,120 --> 00:28:51,360 Speaker 3: where it was at the time, and who was nearby. 471 00:28:52,240 --> 00:28:57,720 Speaker 3: Then they created a computer simulation of randomized chimpanzee urination 472 00:28:57,920 --> 00:29:01,480 Speaker 3: to compare the actual results to and the analysis revealed 473 00:29:01,520 --> 00:29:06,040 Speaker 3: that chimpanzees were not just peeing randomly, there actually was 474 00:29:06,440 --> 00:29:11,800 Speaker 3: social correlation. On average, an ape was significantly more likely 475 00:29:11,880 --> 00:29:14,880 Speaker 3: to pee if another ape had just peed within the 476 00:29:14,920 --> 00:29:18,920 Speaker 3: past sixty seconds, and especially if that ape was very 477 00:29:18,920 --> 00:29:23,720 Speaker 3: close by within ten feet so up ip. Another interesting 478 00:29:23,760 --> 00:29:30,520 Speaker 3: factor beyond time and proximity was social rank. The researchers 479 00:29:30,640 --> 00:29:34,120 Speaker 3: looked into whether the identity and social rank of each 480 00:29:34,400 --> 00:29:38,880 Speaker 3: urinate or mattered in how much how much influence there 481 00:29:39,000 --> 00:29:43,400 Speaker 3: was from one ap peeing to another ap peeing, and 482 00:29:43,720 --> 00:29:47,640 Speaker 3: the identities did matter. So they initially looked to see 483 00:29:47,680 --> 00:29:51,200 Speaker 3: whether the ape equivalent of social friendship was an influence, 484 00:29:51,240 --> 00:29:54,160 Speaker 3: and it seems the answer there was no, but social 485 00:29:54,600 --> 00:29:59,920 Speaker 3: rank was an influence. As quoted in Scientific American Onniche 486 00:30:00,080 --> 00:30:04,240 Speaker 3: said quote, I initially expected that if social influences existed, 487 00:30:04,280 --> 00:30:08,000 Speaker 3: they might resemble those seen in yawning, such as stronger 488 00:30:08,040 --> 00:30:12,680 Speaker 3: contagion between socially close pairs that in itself is an 489 00:30:12,680 --> 00:30:16,720 Speaker 3: interesting thing about yawning that, like social social closeness makes 490 00:30:16,760 --> 00:30:20,080 Speaker 3: the yawn more contagious. But that is not what they found, 491 00:30:20,440 --> 00:30:24,520 Speaker 3: continuing the quote from oneishi. Instead, we observed a clear 492 00:30:24,640 --> 00:30:29,120 Speaker 3: influence of social rank, with lower ranking individuals being more 493 00:30:29,240 --> 00:30:33,680 Speaker 3: likely to follow the urination of others. So if you 494 00:30:33,760 --> 00:30:37,360 Speaker 3: are a lower ranking chimpanzee in the group, it might 495 00:30:37,400 --> 00:30:40,600 Speaker 3: be more like the boss PE's ip, or maybe you 496 00:30:40,600 --> 00:30:45,760 Speaker 3: know the cooler person ps ip. Now some caveats here. 497 00:30:46,040 --> 00:30:49,760 Speaker 3: Obviously this was done in captive chimpanzees, and when a 498 00:30:49,840 --> 00:30:53,520 Speaker 3: behavior is observed in captive animals, it's always worth asking 499 00:30:54,040 --> 00:30:56,800 Speaker 3: whether the same behavior is seen in the wild. Some 500 00:30:57,440 --> 00:31:00,760 Speaker 3: strange traits emerge in zoos or labs or sanctuaries that 501 00:31:00,800 --> 00:31:04,680 Speaker 3: are not seen in wild conspecifics. The researchers here believe 502 00:31:04,760 --> 00:31:07,080 Speaker 3: for a number of reasons that this probably is also 503 00:31:07,120 --> 00:31:09,640 Speaker 3: true in the wild, but that's worth investigating on its 504 00:31:09,640 --> 00:31:13,440 Speaker 3: own and follow up research. But finally we come to 505 00:31:13,480 --> 00:31:18,160 Speaker 3: the question of would this contagious urination count as communication. 506 00:31:19,200 --> 00:31:22,200 Speaker 3: If one ape is getting a signal from another ape 507 00:31:22,240 --> 00:31:26,120 Speaker 3: to do something, I think that is communication. Though It's 508 00:31:26,160 --> 00:31:28,479 Speaker 3: funny because here it's not, as far as we know, 509 00:31:28,680 --> 00:31:31,800 Speaker 3: anything like the smell of my urine will now give 510 00:31:31,840 --> 00:31:35,040 Speaker 3: you updated information about my health that you can use 511 00:31:35,080 --> 00:31:38,240 Speaker 3: in determining how to act. Instead, it's more like the 512 00:31:38,360 --> 00:31:41,080 Speaker 3: fact that I am peeing informs you that it is 513 00:31:41,160 --> 00:31:44,640 Speaker 3: also time for you to pee. Now, what is the 514 00:31:44,760 --> 00:31:48,040 Speaker 3: value of that? Why would it be biologically useful for 515 00:31:48,200 --> 00:31:51,600 Speaker 3: one ape to signal to another that it's time to pee. 516 00:31:52,440 --> 00:31:55,560 Speaker 3: It's possible that it could have some role in maintaining 517 00:31:55,720 --> 00:31:58,800 Speaker 3: general social cohesion in a way that's hard for us 518 00:31:58,840 --> 00:32:02,080 Speaker 3: to understand. So like, when you think about it, a 519 00:32:02,160 --> 00:32:07,360 Speaker 3: lot of synchronized group bonding behaviors among humans would be 520 00:32:07,400 --> 00:32:12,240 Speaker 3: really hard to explain the exact biological utility of except 521 00:32:12,240 --> 00:32:15,240 Speaker 3: to say that we just know because we are humans 522 00:32:15,280 --> 00:32:17,760 Speaker 3: and we know how we feel when we do them. 523 00:32:18,120 --> 00:32:20,600 Speaker 3: We can say that doing these things together at the 524 00:32:20,640 --> 00:32:24,280 Speaker 3: same time makes us feel more bonded and helps motivate 525 00:32:24,400 --> 00:32:27,600 Speaker 3: us to cooperate with each other in other domains. So 526 00:32:27,640 --> 00:32:32,200 Speaker 3: there is clearly some synchronized activities just contribute to social 527 00:32:32,240 --> 00:32:36,160 Speaker 3: cohesion and bonding. Not always easy to say why, but 528 00:32:36,440 --> 00:32:36,800 Speaker 3: they do. 529 00:32:37,200 --> 00:32:39,440 Speaker 1: Yeah, yeah, I mean this way, you're not splitting the 530 00:32:39,440 --> 00:32:43,480 Speaker 1: party every time, every time this random individual wants to 531 00:32:43,480 --> 00:32:44,480 Speaker 1: pay or needs to pay. 532 00:32:44,720 --> 00:32:48,320 Speaker 3: Beyond establishing and maintaining social cohesion, there are a few 533 00:32:48,320 --> 00:32:52,240 Speaker 3: other ideas the authors mention. One idea is that coordinated 534 00:32:52,360 --> 00:32:56,400 Speaker 3: urination may play, to quote the paper quote, potential roles 535 00:32:56,440 --> 00:33:01,320 Speaker 3: in preparation for collective departure, i e. Avoiding before long 536 00:33:01,360 --> 00:33:06,160 Speaker 3: distance travel. So you know, parents may be familiar with this, Like, 537 00:33:06,200 --> 00:33:07,800 Speaker 3: you know, we're about to go on a car trip. 538 00:33:07,840 --> 00:33:09,840 Speaker 3: You need to go to the bathroom before we leave. 539 00:33:10,440 --> 00:33:12,520 Speaker 1: Yeah, yeah, this is a This is a big one. 540 00:33:12,520 --> 00:33:15,960 Speaker 1: This is a This is a frequent point of discussion 541 00:33:16,000 --> 00:33:17,360 Speaker 1: in my household. 542 00:33:17,160 --> 00:33:21,760 Speaker 3: And even apart from long distance travel. One researcher quoted 543 00:33:21,800 --> 00:33:24,760 Speaker 3: in the Scientific American article just pointed out the idea 544 00:33:24,800 --> 00:33:28,440 Speaker 3: of a daily routine among chimpanzees. So at different times 545 00:33:28,480 --> 00:33:32,240 Speaker 3: throughout the day, chimpanzees will often get up and relocate 546 00:33:32,320 --> 00:33:36,160 Speaker 3: to a different place. These relocations as a group are 547 00:33:36,200 --> 00:33:40,240 Speaker 3: generally controlled by higher ranking chimpanzees in the group, the 548 00:33:40,240 --> 00:33:43,760 Speaker 3: group leaders. So it could be that the group leader pees, 549 00:33:43,880 --> 00:33:48,600 Speaker 3: signaling I am about to initiate a relocation. It is 550 00:33:48,680 --> 00:33:51,120 Speaker 3: time for the bathroom break before we move, and then 551 00:33:51,160 --> 00:33:53,880 Speaker 3: the others notice that the leader is peeing, and they 552 00:33:53,920 --> 00:33:58,480 Speaker 3: follow suit because they know they're about to relocate. Another 553 00:33:58,520 --> 00:34:01,840 Speaker 3: possible explanation that means the authors mentioned could be quote 554 00:34:02,080 --> 00:34:07,640 Speaker 3: territorial scent marking i e. Coordination of chemosensory signals. So 555 00:34:08,040 --> 00:34:12,200 Speaker 3: what's better than you individually doing a territorial scent mark 556 00:34:12,239 --> 00:34:14,560 Speaker 3: with your pe getting all your buds to mark at 557 00:34:14,560 --> 00:34:17,560 Speaker 3: the same time. One can imagine that this does a 558 00:34:17,640 --> 00:34:21,440 Speaker 3: number of things. It increases detectability allah where we were 559 00:34:21,440 --> 00:34:24,440 Speaker 3: talking about elevated scent marking and dogs, It's important to 560 00:34:24,440 --> 00:34:28,520 Speaker 3: make your scent markings in the environment more detectable. But 561 00:34:28,640 --> 00:34:32,200 Speaker 3: also you can think about the amount of information presented 562 00:34:32,320 --> 00:34:35,400 Speaker 3: with a whole group peeing together instead of just one, 563 00:34:35,480 --> 00:34:40,120 Speaker 3: you know, peeing individually, and maybe also more individuals peeing 564 00:34:40,120 --> 00:34:44,080 Speaker 3: would communicate more of a threat level within the collective mark. 565 00:34:44,480 --> 00:34:49,239 Speaker 1: Yeah. Depending on sensitivity to these markers, you might think, Okay, well, 566 00:34:49,280 --> 00:34:51,200 Speaker 1: this is either a whole bunch of chimps and not 567 00:34:51,320 --> 00:34:54,160 Speaker 1: just one individual, or if it is one individual, it's 568 00:34:54,160 --> 00:34:57,879 Speaker 1: one huge chimp. I gets there's no messing with this guy. 569 00:34:57,920 --> 00:35:01,600 Speaker 1: This is not potential prey or some chimp that I 570 00:35:01,640 --> 00:35:05,320 Speaker 1: can possibly best and about just best to keep my distance. 571 00:35:05,520 --> 00:35:10,160 Speaker 3: So anyway, chimpanzee p based communication. They pee to communicate 572 00:35:10,280 --> 00:35:15,360 Speaker 3: about peeing for the purpose of peeing. That's fascinating and 573 00:35:15,440 --> 00:35:18,480 Speaker 3: maybe for other purposes as well. But yeah, I thought 574 00:35:18,520 --> 00:35:18,920 Speaker 3: that was good. 575 00:35:29,360 --> 00:35:32,440 Speaker 1: All right. As we round out this episode, I want 576 00:35:32,480 --> 00:35:34,880 Speaker 1: to come back to a topic that I've teased out 577 00:35:34,880 --> 00:35:37,440 Speaker 1: a couple of times in the previous episodes, and that 578 00:35:37,600 --> 00:35:43,040 Speaker 1: is the idea that even if humans cannot speak urine 579 00:35:43,200 --> 00:35:46,640 Speaker 1: as well as other creatures, and certainly can't read urine 580 00:35:46,680 --> 00:35:50,319 Speaker 1: as well as other creatures, we do have the advantage 581 00:35:50,360 --> 00:35:53,879 Speaker 1: of having technology. And this is where we get into 582 00:35:53,880 --> 00:35:58,240 Speaker 1: the field of your analysis. Your analysis, via lab work, 583 00:35:58,600 --> 00:36:03,080 Speaker 1: automated systems, and now even artificial intelligence, can reveal quite 584 00:36:03,120 --> 00:36:05,920 Speaker 1: a lot about a person. Your analysis is used to 585 00:36:06,000 --> 00:36:09,600 Speaker 1: detect and manage a wide range of disorders, to check 586 00:36:09,600 --> 00:36:13,600 Speaker 1: overall health, to look for particular conditions, and or to 587 00:36:13,640 --> 00:36:19,240 Speaker 1: manage known conditions. Some very general prognosis can be made 588 00:36:19,360 --> 00:36:22,000 Speaker 1: visually with a human urine sample if you know what 589 00:36:22,040 --> 00:36:25,359 Speaker 1: you're doing. But much in your analysis is revealed via 590 00:36:25,440 --> 00:36:30,440 Speaker 1: lab work and via machines and technology. Yeah, uh, that's 591 00:36:30,480 --> 00:36:32,719 Speaker 1: not going to become as a shocker to many of you. 592 00:36:32,800 --> 00:36:36,000 Speaker 1: We've all had to give urine samples that the doctor 593 00:36:36,080 --> 00:36:38,839 Speaker 1: before uh, and they've given us the lab read out 594 00:36:38,880 --> 00:36:40,920 Speaker 1: and or we've you know, we've paid for that that 595 00:36:41,120 --> 00:36:44,600 Speaker 1: uh that that lab v on top of our visit. 596 00:36:45,840 --> 00:36:49,200 Speaker 1: It's worth pointing out, by the way, technically urine does 597 00:36:49,239 --> 00:36:54,160 Speaker 1: contain DNA, but DNA deteriorates quickly in human urine and 598 00:36:54,280 --> 00:36:57,360 Speaker 1: is not the best source of DNA for say, forensic 599 00:36:57,400 --> 00:36:58,640 Speaker 1: analysis and so forth. 600 00:36:59,640 --> 00:37:01,319 Speaker 3: I don't know this is the reason, but I would 601 00:37:01,320 --> 00:37:04,400 Speaker 3: imagine there are other chemicals in the urine that probably 602 00:37:04,440 --> 00:37:07,000 Speaker 3: attack the DNA and break it down. 603 00:37:07,080 --> 00:37:09,759 Speaker 1: Yeah, that's my understanding. Yeah, so you know, things like 604 00:37:09,800 --> 00:37:15,520 Speaker 1: certainly blood saliva, these are far better sources for DNA. So, like, 605 00:37:15,560 --> 00:37:17,919 Speaker 1: if you were dealing with like a hardcore like TV 606 00:37:18,040 --> 00:37:21,600 Speaker 1: forensics example, I guess there might be a scenario, and 607 00:37:21,640 --> 00:37:25,240 Speaker 1: there may be scenarios where some sort of a like 608 00:37:25,239 --> 00:37:30,400 Speaker 1: like usable DNA information is obtainable via urine sample, but 609 00:37:30,520 --> 00:37:32,319 Speaker 1: for the most part, like it's considered like not a 610 00:37:32,360 --> 00:37:35,560 Speaker 1: great source of DNA. Now, in the last episode, we 611 00:37:35,680 --> 00:37:40,400 Speaker 1: did mention in passing the idea of using someone else's 612 00:37:40,560 --> 00:37:44,080 Speaker 1: urine as a way to dupe a drug test, a 613 00:37:44,239 --> 00:37:47,640 Speaker 1: urinary drug test. This is indeed a well known aspect 614 00:37:47,680 --> 00:37:51,839 Speaker 1: of human urine evaluation. Everyone's familiar with this an eve. 615 00:37:51,880 --> 00:37:55,040 Speaker 1: If you haven't been had your urine tested for work 616 00:37:55,280 --> 00:37:58,919 Speaker 1: or some sort of legal process in the past, you've 617 00:37:58,960 --> 00:38:01,880 Speaker 1: probably seen it on I believe there's a famous episode 618 00:38:01,920 --> 00:38:04,960 Speaker 1: of The Office that I only vaguely remember, but I 619 00:38:04,960 --> 00:38:07,200 Speaker 1: know I've seen it that involves like drug testing of 620 00:38:07,239 --> 00:38:09,680 Speaker 1: the Office because what Dwight found half a joint in 621 00:38:09,719 --> 00:38:10,399 Speaker 1: the parking lot. 622 00:38:10,680 --> 00:38:12,520 Speaker 3: Oh do they have to pee for that? I don't remember. 623 00:38:12,719 --> 00:38:14,479 Speaker 1: Yeah, I was trying to refresh on this. I think 624 00:38:14,719 --> 00:38:17,759 Speaker 1: like Michael Scott, the boss on The Office, ends up 625 00:38:17,800 --> 00:38:22,000 Speaker 1: getting paranoid because he once quote got high accidentally at 626 00:38:22,000 --> 00:38:26,319 Speaker 1: an Alicia Keys concert, and so he's he's like trying 627 00:38:26,360 --> 00:38:29,120 Speaker 1: to pressure Dwight into giving him some clean urine that 628 00:38:29,200 --> 00:38:29,719 Speaker 1: he use. 629 00:38:30,200 --> 00:38:32,839 Speaker 3: Yeah, but though it has played for jokes here, I mean, 630 00:38:32,880 --> 00:38:35,080 Speaker 3: I guess, I guess p fraud is a real thing 631 00:38:35,120 --> 00:38:37,520 Speaker 3: in the world because some people are going to want 632 00:38:37,520 --> 00:38:40,520 Speaker 3: to avoid avoid the implications of a drug test. 633 00:38:40,800 --> 00:38:42,960 Speaker 1: That's right. And while we did mention the idea of 634 00:38:43,040 --> 00:38:45,680 Speaker 1: using someone else's urine, as occurs in this episode of 635 00:38:45,719 --> 00:38:47,880 Speaker 1: the Office or there there's the attempt to do this, 636 00:38:48,280 --> 00:38:50,440 Speaker 1: and I've seen this particular plot point come up in 637 00:38:50,440 --> 00:38:53,520 Speaker 1: other shows as well. We didn't mention another option that 638 00:38:54,400 --> 00:38:57,399 Speaker 1: has certainly entered the market over the past many years, 639 00:38:57,400 --> 00:39:00,880 Speaker 1: and that is the use of synthetic human urine. This 640 00:39:01,000 --> 00:39:04,200 Speaker 1: is indeed apparently a product you can get that at 641 00:39:04,280 --> 00:39:06,440 Speaker 1: least claims. You know, I'm not going to get into 642 00:39:07,040 --> 00:39:10,800 Speaker 1: certainly into individual brands or claims made by these brands, 643 00:39:11,120 --> 00:39:13,440 Speaker 1: but you can go to places and you can buy 644 00:39:13,480 --> 00:39:17,160 Speaker 1: something that claims to be synthetic human urine for the 645 00:39:17,239 --> 00:39:20,520 Speaker 1: express purpose of duping a urinary drug test. 646 00:39:20,800 --> 00:39:21,200 Speaker 3: Wow. 647 00:39:21,400 --> 00:39:23,200 Speaker 1: Now this may be new to many of you, but 648 00:39:23,800 --> 00:39:27,399 Speaker 1: to be clear, we've actually had synthetic human urine for 649 00:39:27,440 --> 00:39:30,919 Speaker 1: a very long time. I was reading about this at 650 00:39:31,520 --> 00:39:35,280 Speaker 1: on the website Maoclinic Proceedings dot org and they point 651 00:39:35,280 --> 00:39:38,680 Speaker 1: out that German chemist Frederick Wohler, who lived eighteen hundred 652 00:39:38,719 --> 00:39:41,760 Speaker 1: to eighteen eighty two, was the first to produce synthetic urine, 653 00:39:41,800 --> 00:39:44,680 Speaker 1: synthetic human urine back in eighteen twenty eight. 654 00:39:45,040 --> 00:39:47,839 Speaker 3: Well, the date on that discovery makes me think that 655 00:39:47,840 --> 00:39:50,440 Speaker 3: that was not intended to fool a drug test, so 656 00:39:50,480 --> 00:39:53,800 Speaker 3: there must be uses for it beyond beyond just the 657 00:39:54,040 --> 00:39:54,640 Speaker 3: p fraud. 658 00:39:54,840 --> 00:39:57,880 Speaker 1: Absolutely, Yeah, this was not for a drug test welder. 659 00:39:57,920 --> 00:40:01,239 Speaker 1: It was a was a prolific and highly influential chemist. 660 00:40:01,800 --> 00:40:03,600 Speaker 1: We may have brought him up on the show before. 661 00:40:03,640 --> 00:40:06,959 Speaker 1: I feel like there's a strong possibility and the main 662 00:40:07,120 --> 00:40:10,840 Speaker 1: tangible benefit of the at the time for the creation 663 00:40:10,880 --> 00:40:14,520 Speaker 1: of synthetic human urine was for testing of medical equipment, 664 00:40:14,520 --> 00:40:17,680 Speaker 1: and this is something it's still used for today. In fact, 665 00:40:17,800 --> 00:40:20,160 Speaker 1: you can easily you can go online. You can find 666 00:40:20,840 --> 00:40:24,600 Speaker 1: like medical grade companies that sell synthetic human urine and 667 00:40:24,680 --> 00:40:28,560 Speaker 1: it will often be calibrated for very specific testing purposes, 668 00:40:29,120 --> 00:40:31,400 Speaker 1: like you want to test this kind of medical equipment 669 00:40:31,400 --> 00:40:34,280 Speaker 1: and you need synthetic urine to do so, Well, here's 670 00:40:34,400 --> 00:40:37,759 Speaker 1: the right kind of urine for that test, okay. And 671 00:40:37,840 --> 00:40:40,960 Speaker 1: so that was kind of like the broad call for 672 00:40:41,000 --> 00:40:44,600 Speaker 1: synthetic urine at the time, but there was this There's 673 00:40:44,640 --> 00:40:49,080 Speaker 1: an entire additional layer to Frederick go Oulder's contribution here 674 00:40:49,120 --> 00:40:54,239 Speaker 1: as well. So his synthesis of human urea without the 675 00:40:54,280 --> 00:40:58,919 Speaker 1: aid of a human kidney proved that organic compounds could 676 00:40:58,960 --> 00:41:02,680 Speaker 1: be synthesized without the aid of the quote unquote vital 677 00:41:02,719 --> 00:41:05,719 Speaker 1: force found in a living organism, getting here into the 678 00:41:06,200 --> 00:41:09,800 Speaker 1: vital force theory or vitalism, which on the whole argue 679 00:41:09,960 --> 00:41:13,880 Speaker 1: that you could not reduce life to a mechanistic or 680 00:41:13,920 --> 00:41:18,720 Speaker 1: certainly a chemical explanation, like you couldn't just create something 681 00:41:18,880 --> 00:41:22,319 Speaker 1: that a human or animal body made, because there is 682 00:41:22,360 --> 00:41:25,840 Speaker 1: something beyond our science in that body that is making 683 00:41:26,040 --> 00:41:27,440 Speaker 1: the substance in question. 684 00:41:28,400 --> 00:41:31,239 Speaker 3: Oh okay, So while I think you could still argue 685 00:41:31,280 --> 00:41:33,880 Speaker 3: today that there might be something in the more ambiguous 686 00:41:33,960 --> 00:41:39,200 Speaker 3: term life that is not quite captured in reproducible chemical experiments, 687 00:41:39,480 --> 00:41:42,600 Speaker 3: basically all of the processes within the body could be 688 00:41:42,719 --> 00:41:44,040 Speaker 3: recreated in the lab. 689 00:41:44,520 --> 00:41:47,480 Speaker 1: Yeah, and I think getting back into our own blunted 690 00:41:47,560 --> 00:41:51,480 Speaker 1: human understanding of urine, most people today certainly are not 691 00:41:51,520 --> 00:41:53,600 Speaker 1: going to hear this and think, well, that's blasphemous. You 692 00:41:53,640 --> 00:41:57,560 Speaker 1: can't synthesize human urine. Human urine is holy and it 693 00:41:57,600 --> 00:41:59,879 Speaker 1: is made only by a human body. Like nobody's really 694 00:42:00,160 --> 00:42:03,200 Speaker 1: probably feeling that because we don't think about urine as 695 00:42:03,239 --> 00:42:06,799 Speaker 1: having any intrinsic value. It is just waste product that 696 00:42:06,920 --> 00:42:09,120 Speaker 1: on the whole we prefer not to produce. It just 697 00:42:09,200 --> 00:42:11,160 Speaker 1: kind of gets in the way. Of course, as we've 698 00:42:11,200 --> 00:42:15,960 Speaker 1: been discussing dogs, lobsters, so many other animals if they 699 00:42:16,000 --> 00:42:20,920 Speaker 1: could express, if they could, you know, express feelings about urine, 700 00:42:20,920 --> 00:42:23,480 Speaker 1: would disagree with us and they might say no. A 701 00:42:23,560 --> 00:42:27,000 Speaker 1: dog might say no, urine is holy, Urine is information, 702 00:42:27,480 --> 00:42:30,600 Speaker 1: and it comes from a dog, or it comes from 703 00:42:31,000 --> 00:42:33,759 Speaker 1: some other animal. And that is what I'm reading. And 704 00:42:33,719 --> 00:42:36,880 Speaker 1: the idea that you could fake that is just you know, 705 00:42:37,280 --> 00:42:38,279 Speaker 1: abysmal p. 706 00:42:38,560 --> 00:42:40,600 Speaker 3: Is vitalistic poetry. Yeah. 707 00:42:40,680 --> 00:42:43,000 Speaker 1: Yeah, So at the time this was actually a big 708 00:42:43,040 --> 00:42:45,759 Speaker 1: deal though, because even though it was quote unquote just 709 00:42:46,000 --> 00:42:49,200 Speaker 1: urine that was synthesized, it paved the way for so 710 00:42:49,280 --> 00:42:54,680 Speaker 1: many world changing advancements in organic chemistry. So again coming 711 00:42:54,719 --> 00:42:57,840 Speaker 1: back to today, Yes, you can buy synthetic urine in 712 00:42:57,960 --> 00:43:04,560 Speaker 1: various places, either or legitimate medical testing purposes, educational purposes, 713 00:43:04,840 --> 00:43:08,239 Speaker 1: but also products that seem to be intended just for 714 00:43:08,280 --> 00:43:09,560 Speaker 1: the duping of drug tests. 715 00:43:09,719 --> 00:43:12,120 Speaker 3: I haven't looked these up. How are they marketed? Do 716 00:43:12,200 --> 00:43:14,560 Speaker 3: they just say like, fool a drug test on them, 717 00:43:14,680 --> 00:43:16,520 Speaker 3: or do they have euphemistic language. 718 00:43:16,719 --> 00:43:19,160 Speaker 1: I'm not going to mention any products by name, but 719 00:43:19,239 --> 00:43:22,880 Speaker 1: some of them have like expectedly kind of goofy product 720 00:43:22,920 --> 00:43:26,000 Speaker 1: names like, you can definitely, or it seems to me, 721 00:43:26,040 --> 00:43:29,040 Speaker 1: you can definitely tell the difference between a product that 722 00:43:29,239 --> 00:43:34,000 Speaker 1: is marketed for clinical usage versus things that are marketed 723 00:43:34,080 --> 00:43:38,359 Speaker 1: for the duping of drug drug tests. I think it's 724 00:43:38,400 --> 00:43:42,160 Speaker 1: pretty obvious. But these products, if I'm understanding this correctly, 725 00:43:42,160 --> 00:43:46,480 Speaker 1: and maybe the literature is a little incomplete on when 726 00:43:46,520 --> 00:43:48,759 Speaker 1: things like this start popping up, but I believe we've 727 00:43:48,760 --> 00:43:52,760 Speaker 1: had products like this on the market of some sort 728 00:43:53,040 --> 00:43:55,200 Speaker 1: since like the late nineties, so they've been around for 729 00:43:55,280 --> 00:43:56,880 Speaker 1: a while. I had not heard of them, so I 730 00:43:56,920 --> 00:44:00,759 Speaker 1: thought this was maybe like a very new thing, But yeah, 731 00:44:00,800 --> 00:44:03,160 Speaker 1: these products have been around. Some of them are banned 732 00:44:03,480 --> 00:44:07,400 Speaker 1: in certain areas, certain states, for example now because of 733 00:44:07,480 --> 00:44:12,879 Speaker 1: their usage to try and you doup at drug test. Now, 734 00:44:12,920 --> 00:44:16,959 Speaker 1: synthetic urine in general, the varieties aimed at drug tests 735 00:44:17,000 --> 00:44:20,400 Speaker 1: but also clinically, they've grown quite advanced, and of course 736 00:44:20,440 --> 00:44:24,000 Speaker 1: this has led to advancements in drug testing. So I 737 00:44:24,040 --> 00:44:27,439 Speaker 1: was reading some sources here that we're talking about how 738 00:44:28,400 --> 00:44:32,560 Speaker 1: drug tests have had to look for new markers in 739 00:44:32,640 --> 00:44:35,840 Speaker 1: synthetic urines that can then be targeted on a drug 740 00:44:35,880 --> 00:44:38,040 Speaker 1: test so that they can figure out like, Okay, well 741 00:44:38,040 --> 00:44:42,080 Speaker 1: this is obvious urine looks clean, but it's also obviously purchased, 742 00:44:42,800 --> 00:44:44,160 Speaker 1: you know, at the local smoke shop. 743 00:44:45,000 --> 00:44:48,480 Speaker 3: This is the evolutionary arms race in the synthetic urine 744 00:44:48,520 --> 00:44:50,360 Speaker 3: and the drug tests. 745 00:44:50,640 --> 00:44:52,480 Speaker 1: Yeah, and of course you can't help but imagine what 746 00:44:52,520 --> 00:44:54,719 Speaker 1: would a dog think of all this? Like they would 747 00:44:54,719 --> 00:44:58,000 Speaker 1: probably like it would be like, you know, because there's 748 00:44:58,000 --> 00:45:01,280 Speaker 1: probably a similar discussion to be made around say, AI 749 00:45:01,360 --> 00:45:04,880 Speaker 1: generated literature, you know, where you know, someone might say, well, 750 00:45:04,880 --> 00:45:07,520 Speaker 1: how could you possibly be fooled by this? Like clearly 751 00:45:07,640 --> 00:45:09,520 Speaker 1: was written by a machine and so forth, Like the 752 00:45:10,280 --> 00:45:14,000 Speaker 1: dogs probably have a very low would have a very 753 00:45:14,080 --> 00:45:18,040 Speaker 1: uh like low estimation of synthetic urines and like what 754 00:45:18,120 --> 00:45:19,839 Speaker 1: it's telling them. Though, I guess that's that's a whole 755 00:45:19,880 --> 00:45:23,040 Speaker 1: topic under unto itself that we're not really going to 756 00:45:23,120 --> 00:45:26,480 Speaker 1: get into today into today, like to what degree does 757 00:45:26,520 --> 00:45:30,520 Speaker 1: synthetic urine fool animals that have these heightened senses to 758 00:45:30,600 --> 00:45:31,160 Speaker 1: understand it? 759 00:45:31,520 --> 00:45:35,080 Speaker 3: Or I wonder would the dog really have the the 760 00:45:35,160 --> 00:45:38,759 Speaker 3: concept of authenticity when reading the urine or would it 761 00:45:38,800 --> 00:45:40,799 Speaker 3: just be like, huh, this is from a strange type 762 00:45:40,840 --> 00:45:43,280 Speaker 3: of creature I've never encountered before that's. 763 00:45:43,120 --> 00:45:45,400 Speaker 1: Right, it would might maybe be more like, this is 764 00:45:45,440 --> 00:45:49,000 Speaker 1: a this is a weird communication that I'm reading, This 765 00:45:49,080 --> 00:45:52,799 Speaker 1: is a very strange dog. More information is required. I 766 00:45:52,800 --> 00:45:55,319 Speaker 1: probably need to see this dog in person now to 767 00:45:55,320 --> 00:45:57,720 Speaker 1: be clear. Outside of the market for synthetic human urine, 768 00:45:57,719 --> 00:46:00,760 Speaker 1: there is also a market for synthetic and animal urines. 769 00:46:02,480 --> 00:46:05,800 Speaker 3: Wait a minute for could this be for scent marking 770 00:46:05,880 --> 00:46:08,120 Speaker 3: fraud essentially carried out by humans? 771 00:46:08,400 --> 00:46:12,480 Speaker 1: Yeah? Yeah, in instances where there is some sort of 772 00:46:12,480 --> 00:46:18,720 Speaker 1: a human interest involved in some sort of communication fraud 773 00:46:18,840 --> 00:46:21,480 Speaker 1: with animal urine. One example of this that you can 774 00:46:21,480 --> 00:46:26,239 Speaker 1: find pretty readily, say online is synthetic deer urine. And 775 00:46:26,719 --> 00:46:30,640 Speaker 1: this is apparently a product that exists because you have 776 00:46:30,800 --> 00:46:34,440 Speaker 1: in the past used actual deer urine to say, you know, 777 00:46:34,560 --> 00:46:38,120 Speaker 1: bait a buck, that sort of a thing. But there 778 00:46:38,160 --> 00:46:41,200 Speaker 1: are a number of states that have banned the use 779 00:46:41,600 --> 00:46:44,560 Speaker 1: of actual deer urine to help prevent the spread of 780 00:46:44,640 --> 00:46:48,560 Speaker 1: chronic wasting disease and deer ah. Okay, yeah, Because to 781 00:46:48,719 --> 00:46:52,280 Speaker 1: come back to urine in general, like urine, healthy human urine, 782 00:46:52,280 --> 00:46:57,520 Speaker 1: for example, is generally thought to be largely sterile. But yes, 783 00:46:57,719 --> 00:47:01,480 Speaker 1: there are various things that can be various contaminants, various 784 00:47:01,560 --> 00:47:04,880 Speaker 1: illnesses that can be contracted through unhealthy urine. 785 00:47:05,040 --> 00:47:08,640 Speaker 3: So this would be using animal urine fraud for the 786 00:47:08,680 --> 00:47:12,640 Speaker 3: purpose of an attractant by hunters. But I've read about 787 00:47:12,960 --> 00:47:17,040 Speaker 3: animal urine fraud being used for the opposite purpose to 788 00:47:17,160 --> 00:47:20,560 Speaker 3: deter animals by using a predator urine. So you you 789 00:47:20,719 --> 00:47:23,920 Speaker 3: synthesize there's not really a cougar in the area, but 790 00:47:23,960 --> 00:47:26,759 Speaker 3: you put cougar pee out there, and it supposedly it 791 00:47:26,760 --> 00:47:29,680 Speaker 3: will keep away the pest animals that you don't want 792 00:47:29,760 --> 00:47:30,920 Speaker 3: in your garden or whatever. 793 00:47:31,200 --> 00:47:34,640 Speaker 1: Exactly, yes, And that is the other major synthetic urine 794 00:47:34,640 --> 00:47:36,799 Speaker 1: product that you see. And this is another case though, 795 00:47:36,800 --> 00:47:40,120 Speaker 1: where there are products that at least claim to use 796 00:47:40,239 --> 00:47:45,239 Speaker 1: actual urine from say fox or a bear, or you know, 797 00:47:45,280 --> 00:47:49,560 Speaker 1: whatever the predator happens to be, and then there are 798 00:47:49,560 --> 00:47:51,920 Speaker 1: cases where they're making a point of it being synthetic 799 00:47:51,920 --> 00:47:55,719 Speaker 1: animal urine. I can't speak to the to how efficient 800 00:47:55,760 --> 00:47:59,240 Speaker 1: these are, but you know, coming back to our dog example, 801 00:47:59,320 --> 00:48:02,160 Speaker 1: if they are a fish enough to raise the specter 802 00:48:02,680 --> 00:48:06,200 Speaker 1: of a potential predator being present, then perhaps it is 803 00:48:06,360 --> 00:48:10,439 Speaker 1: useful enough. We talked about chimpanzees. I want to mention 804 00:48:10,520 --> 00:48:16,160 Speaker 1: that for medical purposes, you can also buy synthetic chimpanzee urine. 805 00:48:16,360 --> 00:48:19,040 Speaker 1: I included a link here for you, Joe. If you 806 00:48:19,080 --> 00:48:21,560 Speaker 1: look around for it, you can find it. There's one 807 00:48:21,600 --> 00:48:24,399 Speaker 1: company in particular that has a website and they have 808 00:48:24,640 --> 00:48:27,799 Speaker 1: various forms of synthetic human urine that is to be 809 00:48:27,880 --> 00:48:31,360 Speaker 1: clear intended for clinical purposes and the testing of like 810 00:48:31,480 --> 00:48:35,360 Speaker 1: medical equipment and tests, and educational purposes as well. But 811 00:48:35,440 --> 00:48:39,960 Speaker 1: you can also buy synthetic chimpanzee urine for the same purpose, because, 812 00:48:40,480 --> 00:48:45,279 Speaker 1: of course the study of chimpanzee physiology and chimpanzee biological 813 00:48:45,320 --> 00:48:49,319 Speaker 1: responses is vitally important for human medicine as well. 814 00:48:49,520 --> 00:48:52,560 Speaker 3: But is it cheaper than the synthetic human urine, And 815 00:48:52,600 --> 00:48:55,520 Speaker 3: if so, with somebody trying to pass the drug tests, 816 00:48:55,600 --> 00:48:58,560 Speaker 3: save a few bucks and get the chimpanzee urine instead. 817 00:48:59,280 --> 00:49:03,240 Speaker 1: Well, let's check real quick. I'll pull up the website. Okay, 818 00:49:03,280 --> 00:49:06,440 Speaker 1: I'm looking at the costs for simulated monkey urine. Okay, 819 00:49:06,520 --> 00:49:09,680 Speaker 1: all right, okay, and then let's see. You know, it 820 00:49:09,719 --> 00:49:11,880 Speaker 1: looks about like it's the same price for humans, so 821 00:49:11,920 --> 00:49:16,480 Speaker 1: there's no there's no need to go cheaper for chimp urine. 822 00:49:17,160 --> 00:49:19,360 Speaker 1: I have a feeling chimp urine would not work. I 823 00:49:19,440 --> 00:49:21,080 Speaker 1: feel like they would catch you if you try to 824 00:49:21,160 --> 00:49:24,560 Speaker 1: use chimp urine to synthetic chimp urine to pass a 825 00:49:24,760 --> 00:49:27,839 Speaker 1: like a work drug test. But also I should add 826 00:49:27,840 --> 00:49:31,040 Speaker 1: that you're probably I'm thinking most of the people trying 827 00:49:31,040 --> 00:49:34,239 Speaker 1: to pass a drug test using the synthetic urine, they're 828 00:49:34,280 --> 00:49:37,560 Speaker 1: probably not buying it from a biomedical company. They're buying 829 00:49:37,600 --> 00:49:40,280 Speaker 1: it a like at the local smoke shop or something 830 00:49:40,320 --> 00:49:43,880 Speaker 1: from some other supplier, which I'm assuming are you know, 831 00:49:44,000 --> 00:49:46,160 Speaker 1: ultimately not the same corporation. 832 00:49:46,840 --> 00:49:49,239 Speaker 3: Listeners, if anybody in the audience has ever tried to 833 00:49:49,280 --> 00:49:52,640 Speaker 3: spoof a drug test by using like cougar urine or something, 834 00:49:54,280 --> 00:49:56,560 Speaker 3: let us know how that went. Did it work? 835 00:49:57,280 --> 00:49:59,359 Speaker 1: Yeah? Or in general, if there are people out there 836 00:49:59,360 --> 00:50:04,520 Speaker 1: who have exp using synthetic animal urines either to attract 837 00:50:05,040 --> 00:50:09,120 Speaker 1: or drive away organisms, write in with your experiences with 838 00:50:09,160 --> 00:50:11,120 Speaker 1: these products. You know, we're not going to mention specific products, 839 00:50:11,480 --> 00:50:14,279 Speaker 1: you know, obviously, but in general, I'd love to hear 840 00:50:14,320 --> 00:50:16,839 Speaker 1: how this has worked, Like maybe get an idea of 841 00:50:16,880 --> 00:50:19,800 Speaker 1: like the where the science is in terms of making 842 00:50:20,000 --> 00:50:24,239 Speaker 1: synthetic urine that can not only be useful for biomedical 843 00:50:24,239 --> 00:50:27,799 Speaker 1: purposes and testing equipment in the human world, but potentially 844 00:50:27,960 --> 00:50:32,120 Speaker 1: in communicating with other animals, even in a very blunt manner. 845 00:50:32,480 --> 00:50:34,719 Speaker 3: Yeah. Oh, and hey, we also we know we've got 846 00:50:34,760 --> 00:50:36,799 Speaker 3: a lot of scientists in the audience. If you use 847 00:50:36,880 --> 00:50:39,520 Speaker 3: synthetic urine in your research, let us know how what 848 00:50:39,800 --> 00:50:40,400 Speaker 3: do you use it for? 849 00:50:40,840 --> 00:50:44,040 Speaker 1: Yeah? Absolutely, all right, on that note, we're going to 850 00:50:44,000 --> 00:50:46,040 Speaker 1: go and close up this episode, but yeah, right in, 851 00:50:46,080 --> 00:50:47,920 Speaker 1: we'd love to hear from everyone, Just to remind that 852 00:50:47,920 --> 00:50:49,800 Speaker 1: The Stuff to Blow Your Mind is primarily a science 853 00:50:49,840 --> 00:50:52,440 Speaker 1: and culture podcast, with core episodes on Tuesdays and Thursdays 854 00:50:52,680 --> 00:50:55,040 Speaker 1: and on Fridays, we set aside most serious concerns to 855 00:50:55,160 --> 00:50:58,240 Speaker 1: just talk about a weird film on weird House Cinema. 856 00:50:57,920 --> 00:51:00,680 Speaker 3: Huge things, as always to our excellent to your producer 857 00:51:00,760 --> 00:51:02,879 Speaker 3: JJ Posway. If you would like to get in touch 858 00:51:02,920 --> 00:51:04,920 Speaker 3: with us with feedback on this episode or any other, 859 00:51:05,040 --> 00:51:07,279 Speaker 3: to suggest a topic for the future, or just to 860 00:51:07,320 --> 00:51:10,320 Speaker 3: say hello, you can email us at contact that Stuff 861 00:51:10,360 --> 00:51:19,560 Speaker 3: to Blow your Mind dot com. 862 00:51:19,640 --> 00:51:22,600 Speaker 2: Stuff to Blow Your Mind is production of iHeartRadio. For 863 00:51:22,680 --> 00:51:25,439 Speaker 2: more podcasts from my Heart Radio, visit the iHeartRadio app, 864 00:51:25,600 --> 00:51:42,160 Speaker 2: Apple Podcasts, or wherever you're listening to your favorite shows