1 00:00:07,000 --> 00:00:10,479 Speaker 1: Welcome to Creature future production of iHeartRadio. I'm your hosts 2 00:00:10,560 --> 00:00:15,240 Speaker 1: of Many Parasites Katie Golden. I studied psychology and evolutionary biology, 3 00:00:15,240 --> 00:00:20,280 Speaker 1: and today on the show Urine for a great show, guys, 4 00:00:20,360 --> 00:00:24,279 Speaker 1: because we're talking about all the wee wee that's fit 5 00:00:24,520 --> 00:00:30,280 Speaker 1: to piss. So we are talking about animal pe studies, 6 00:00:30,560 --> 00:00:35,840 Speaker 1: about animal urine, the amazing facts about We've got three 7 00:00:37,680 --> 00:00:42,680 Speaker 1: we wei stars here, animals whose urine is either fascinating, 8 00:00:43,320 --> 00:00:48,040 Speaker 1: super important to the environment, or just weird, just very 9 00:00:48,040 --> 00:00:50,879 Speaker 1: strange pe if we are gonna go from one of 10 00:00:50,880 --> 00:00:53,800 Speaker 1: the largest actually, no not one of the largest, the 11 00:00:54,040 --> 00:00:58,400 Speaker 1: largest mammal in the world to a strange, fuzzy little 12 00:00:58,400 --> 00:01:02,320 Speaker 1: grimlin that you've probably I've never heard of. Joining me 13 00:01:02,480 --> 00:01:07,600 Speaker 1: today is my personal friend and co host of Secretly 14 00:01:07,640 --> 00:01:12,279 Speaker 1: incredibly Fascinating with none other than wah, which is perfect 15 00:01:12,319 --> 00:01:17,600 Speaker 1: grammatic French. Everyone, I'm so happy to have Alex Schmidt 16 00:01:17,680 --> 00:01:18,600 Speaker 1: joining me today. 17 00:01:18,880 --> 00:01:23,480 Speaker 2: Alex, hi d thank you for having me. This is 18 00:01:23,520 --> 00:01:27,360 Speaker 2: so great, and especially I feel like most schools and 19 00:01:27,520 --> 00:01:30,399 Speaker 2: biology class or whatever they they're probably teachers who cannot 20 00:01:30,440 --> 00:01:33,840 Speaker 2: tell you about animal p right. There's probably districts or 21 00:01:34,160 --> 00:01:37,560 Speaker 2: parents groups or something where they shut it off, cut 22 00:01:37,600 --> 00:01:37,920 Speaker 2: it down. 23 00:01:38,800 --> 00:01:43,880 Speaker 1: My arch nemesis, the PTA, always trying to stop. 24 00:01:43,680 --> 00:01:47,840 Speaker 2: The Pta, the PTA ironically. 25 00:01:47,960 --> 00:01:52,680 Speaker 1: Oh the irony. Yeah, so animal p is actually very interesting. 26 00:01:52,840 --> 00:01:54,960 Speaker 1: And on this show we do like to discuss the 27 00:01:55,000 --> 00:01:58,480 Speaker 1: sorts of topics that might seem a little bit too risque, 28 00:01:58,960 --> 00:02:02,480 Speaker 1: too in a pro to be taught in biology class. 29 00:02:02,640 --> 00:02:04,680 Speaker 1: And this is one of them. 30 00:02:05,040 --> 00:02:06,720 Speaker 2: I all be we all bee. 31 00:02:07,160 --> 00:02:09,880 Speaker 1: Everyone does it. It's not weird. And if you don't 32 00:02:09,919 --> 00:02:13,440 Speaker 1: do it, you should go to a doctor a urologist 33 00:02:14,040 --> 00:02:16,919 Speaker 1: because you need to do it. It's very important. You 34 00:02:16,960 --> 00:02:21,040 Speaker 1: should be proud of yourself every time you pee because 35 00:02:21,200 --> 00:02:25,560 Speaker 1: that's that's okay, that's biology, baby, and you did it. 36 00:02:25,720 --> 00:02:31,720 Speaker 1: So Alex, we just got you know what we got 37 00:02:31,880 --> 00:02:34,760 Speaker 1: like to in this life. There's so little we control, 38 00:02:34,840 --> 00:02:36,880 Speaker 1: and one of the things we can control is going 39 00:02:36,880 --> 00:02:40,840 Speaker 1: to the bathroom. And I think that's a sacred human right, Alex. 40 00:02:40,880 --> 00:02:44,440 Speaker 1: We also do like a little side project on so 41 00:02:44,560 --> 00:02:48,360 Speaker 1: our our show Secretly Incredibly Fascinating is on the network 42 00:02:48,440 --> 00:02:51,680 Speaker 1: Maximum Fun and we actually just we just did a drive. 43 00:02:51,800 --> 00:02:53,799 Speaker 1: We just did a drive for new members. So if 44 00:02:53,800 --> 00:02:56,560 Speaker 1: any of you are listening to that, you also subscribed 45 00:02:56,560 --> 00:03:01,000 Speaker 1: over there. Thank you for that, and that we have 46 00:03:01,080 --> 00:03:05,639 Speaker 1: been funded for a show that we do called uh 47 00:03:05,760 --> 00:03:09,280 Speaker 1: the Inspectors Inspectors, but I like to call it us 48 00:03:09,320 --> 00:03:15,760 Speaker 1: PISS because it's US Postal Inspection Service, which spells US piss. Uh. 49 00:03:16,480 --> 00:03:18,280 Speaker 2: Yes, yes, it's not our fault. 50 00:03:18,720 --> 00:03:23,239 Speaker 1: Yeah, but now we're talking about they piss because it's 51 00:03:23,320 --> 00:03:29,080 Speaker 1: animals whose pe is really interesting? And I did this 52 00:03:29,120 --> 00:03:32,440 Speaker 1: whole topic not because I'm a freak, but because I 53 00:03:32,520 --> 00:03:35,960 Speaker 1: read some news about a new study on whale p 54 00:03:37,000 --> 00:03:42,920 Speaker 1: none other than the majestic Blean whale. Uh So whale p. 55 00:03:43,080 --> 00:03:49,680 Speaker 1: There is a lot of it, so that's one thing. Yeah, 56 00:03:49,720 --> 00:03:52,400 Speaker 1: and it turns yeah, makes sense, right, there's there's a 57 00:03:52,400 --> 00:03:53,160 Speaker 1: ton of whale pea. 58 00:03:54,840 --> 00:04:00,240 Speaker 2: Yeah, I can't. I'm very excited to hear how this 59 00:04:00,480 --> 00:04:03,800 Speaker 2: is measured, like how they measure the p from the whale. 60 00:04:03,880 --> 00:04:06,560 Speaker 2: You know, maybe they're estimating, maybe there's a big cath 61 00:04:06,640 --> 00:04:06,840 Speaker 2: in her. 62 00:04:07,280 --> 00:04:12,840 Speaker 1: I believe it's estimates. I do not think that there's like, oh, 63 00:04:13,000 --> 00:04:16,240 Speaker 1: I don't think they cat up the whales. No, there's 64 00:04:16,279 --> 00:04:18,960 Speaker 1: not really a great way to study whales. I think 65 00:04:19,000 --> 00:04:23,160 Speaker 1: it is based on the knowledge of like the size 66 00:04:23,200 --> 00:04:29,360 Speaker 1: of say whale bladders and their capacity and the calculated 67 00:04:31,320 --> 00:04:34,800 Speaker 1: rate metage of urination. So that's that's how they because yeah, 68 00:04:34,839 --> 00:04:38,359 Speaker 1: whales are Actually it's funny because they're the world's largest mammals, 69 00:04:38,360 --> 00:04:40,800 Speaker 1: so you'd think we'd know everything about them. They're actually 70 00:04:41,200 --> 00:04:44,440 Speaker 1: very difficult to study because they're deep in the water 71 00:04:44,680 --> 00:04:47,279 Speaker 1: and it's hard to get there, and they're so big. 72 00:04:47,320 --> 00:04:50,839 Speaker 1: It's not like we can take a whale carcass to 73 00:04:51,040 --> 00:04:56,600 Speaker 1: your nearest lab and study the entire thing. Like, yes, 74 00:04:57,040 --> 00:05:00,200 Speaker 1: like parts of whales are studied, of course, but it 75 00:05:00,240 --> 00:05:02,760 Speaker 1: is it's very difficult to study them, but we do, 76 00:05:02,880 --> 00:05:05,720 Speaker 1: and and this is one of them, a new study 77 00:05:05,720 --> 00:05:10,520 Speaker 1: called Migrating Baling Whales Transport high latitude nutrients to tropical 78 00:05:10,520 --> 00:05:16,480 Speaker 1: and subtropical ecosystems by University of Vermont conservation biologists Joe Roman. 79 00:05:16,760 --> 00:05:21,320 Speaker 1: At all. Basically, this is a paper Roman. Joe Roman 80 00:05:24,160 --> 00:05:27,480 Speaker 1: sounds a little bit like Joe Rogan. I know, Joe 81 00:05:27,600 --> 00:05:32,000 Speaker 1: Rogan wishes he was at the intellectual level of studying. 82 00:05:31,560 --> 00:05:34,720 Speaker 2: Whale p you know, so uh really. 83 00:05:34,640 --> 00:05:37,400 Speaker 1: Yeah, yeah, yeah, so uh this is a study on 84 00:05:37,440 --> 00:05:37,920 Speaker 1: whale pp. 85 00:05:38,400 --> 00:05:38,599 Speaker 2: Uh. 86 00:05:38,640 --> 00:05:40,920 Speaker 1: For the most part, they just I guess we're too 87 00:05:41,000 --> 00:05:44,960 Speaker 1: embarrassed to put that in the title. So we're talking 88 00:05:45,080 --> 00:05:49,080 Speaker 1: mostly about large baling whales. Other whales, toothed whales like 89 00:05:49,200 --> 00:05:51,800 Speaker 1: orc as, they certainly contribute, but it is really the 90 00:05:51,880 --> 00:05:55,719 Speaker 1: big boys, the blue whales, the humpback whales. Uh, these 91 00:05:55,760 --> 00:06:00,719 Speaker 1: are huge players in the nitrogen cycle in the ocean 92 00:06:01,839 --> 00:06:05,120 Speaker 1: because peepy urea has a lot of nitrogen in it. 93 00:06:07,040 --> 00:06:09,920 Speaker 2: Okay, Yeah, and I don't and I don't know a 94 00:06:09,960 --> 00:06:12,680 Speaker 2: lot about the nitrogen cycle, but I think also especially 95 00:06:12,760 --> 00:06:15,400 Speaker 2: most dryings I've seen of it, it's on land, like 96 00:06:15,480 --> 00:06:16,880 Speaker 2: the sky and the earth are doing it, you know, 97 00:06:16,960 --> 00:06:18,760 Speaker 2: So it's cool to think about it in the sea. 98 00:06:18,920 --> 00:06:21,520 Speaker 1: Yeah, and it's it's something that we may not know 99 00:06:21,680 --> 00:06:24,560 Speaker 1: as much about because it's in the ocean and it's 100 00:06:24,600 --> 00:06:28,240 Speaker 1: maybe harder to measure. But yeah, absolutely, nitrogen plays a 101 00:06:28,320 --> 00:06:30,120 Speaker 1: huge role in the same way that it plays a 102 00:06:30,200 --> 00:06:33,919 Speaker 1: role in our soil right for growing plants. Nitrogen in 103 00:06:33,920 --> 00:06:38,480 Speaker 1: the ocean supports a lot of life like algae, phytoplankton. 104 00:06:39,320 --> 00:06:43,760 Speaker 1: It is important in terms of depositing nutrients to create 105 00:06:43,920 --> 00:06:49,240 Speaker 1: a fertilizer for the foundation of the food chain, super important. So, 106 00:06:50,440 --> 00:06:55,400 Speaker 1: and the way the specific way that baling whales contribute 107 00:06:55,440 --> 00:06:59,040 Speaker 1: to this is not just by eating and peeing, it's 108 00:06:59,120 --> 00:07:04,880 Speaker 1: by eating and peeing in a very specific migratory pattern. 109 00:07:05,360 --> 00:07:11,840 Speaker 1: So uh, they end up moving nitrogen from icy cold 110 00:07:11,960 --> 00:07:15,680 Speaker 1: polar regions, very very cold regions. And it's interesting because 111 00:07:15,720 --> 00:07:18,040 Speaker 1: in these polar regions, actually the ocean is a lot 112 00:07:18,120 --> 00:07:22,440 Speaker 1: more nutrient dense. You have things like you have things 113 00:07:22,480 --> 00:07:24,200 Speaker 1: like a lot of krill. You have a lot of 114 00:07:25,200 --> 00:07:28,400 Speaker 1: things for the whales to eat. Balen whales or filter feeders. 115 00:07:28,720 --> 00:07:31,240 Speaker 1: They're the ones that have those things that look like 116 00:07:31,280 --> 00:07:34,960 Speaker 1: broom bristles in their mouths. So they're not they're not 117 00:07:35,000 --> 00:07:40,760 Speaker 1: really going after like say tuna or fish. They're going 118 00:07:40,800 --> 00:07:44,720 Speaker 1: after krill. Santa ah man. You know if Santa's look 119 00:07:44,800 --> 00:07:49,080 Speaker 1: really tiny or his little his little elves, maybe they'd 120 00:07:49,080 --> 00:07:49,960 Speaker 1: get caught in there. 121 00:07:50,240 --> 00:07:53,400 Speaker 2: But yeah, they go after like every piece of art 122 00:07:53,440 --> 00:07:56,520 Speaker 2: of Santa. They have to include a scale drive where 123 00:07:56,560 --> 00:07:58,760 Speaker 2: like there's that stensil of a human to show you 124 00:07:58,880 --> 00:07:59,520 Speaker 2: he's also. 125 00:07:59,360 --> 00:08:02,520 Speaker 1: Very comes down the chimney. No one's ever said how 126 00:08:02,720 --> 00:08:08,240 Speaker 1: big Santa is. Maybe he's planktonic. Explain it and why 127 00:08:08,320 --> 00:08:11,840 Speaker 1: we can't see him. They eat krill, which are these 128 00:08:11,880 --> 00:08:17,600 Speaker 1: small shrimp like animals and UH, and they eat massive 129 00:08:17,600 --> 00:08:19,600 Speaker 1: amounts of them, so they actually find more of them 130 00:08:19,640 --> 00:08:23,960 Speaker 1: in these colder regions. And so what happens is they 131 00:08:24,040 --> 00:08:27,960 Speaker 1: feed in these polar cold regions and then to mate 132 00:08:28,400 --> 00:08:31,960 Speaker 1: and to breed, they actually move to warmer tropical regions. 133 00:08:32,280 --> 00:08:35,640 Speaker 1: And these warmer regions it has plenty of life, but 134 00:08:35,920 --> 00:08:40,199 Speaker 1: it's less nutrient dense than the polar regions. And so 135 00:08:40,440 --> 00:08:43,440 Speaker 1: they actually live off of a lot of their blubber 136 00:08:43,559 --> 00:08:48,240 Speaker 1: when they're in these uh, these more tropical regions. And 137 00:08:48,480 --> 00:08:52,560 Speaker 1: as they're burning that blubber, they're using the energy stores 138 00:08:52,559 --> 00:08:55,040 Speaker 1: and all that nutrition they gathered when they're in the 139 00:08:55,080 --> 00:08:57,720 Speaker 1: polar regions and they're burning it off and they're producing 140 00:08:57,760 --> 00:09:03,160 Speaker 1: a byproduct PE and so and that PEE is the 141 00:09:03,160 --> 00:09:07,440 Speaker 1: byproduct u urea, which is loaded with nitrogen, and that 142 00:09:07,640 --> 00:09:12,960 Speaker 1: urea helps to fertilize these tropical areas. So they're moving nutrients, 143 00:09:13,280 --> 00:09:18,200 Speaker 1: UH and fertilizer from these polar regions into the tropical regions. 144 00:09:18,679 --> 00:09:23,160 Speaker 1: And in what the long haul truckers, they are like 145 00:09:23,240 --> 00:09:26,880 Speaker 1: long haul truckers, especially for P for P which I'm 146 00:09:26,920 --> 00:09:30,440 Speaker 1: sure long haul truckers also appreciate the idea of just 147 00:09:30,520 --> 00:09:34,040 Speaker 1: peeing where you are. Uh, I know they've got jugs, 148 00:09:34,080 --> 00:09:37,280 Speaker 1: you know, depositing it on the side of the road. 149 00:09:38,080 --> 00:09:42,880 Speaker 2: Fertilized plant get empty. Yeah, it's it seems like I'm sure. 150 00:09:42,920 --> 00:09:45,160 Speaker 2: I'm sure. That's like day one of being a trucker. 151 00:09:45,240 --> 00:09:46,760 Speaker 2: You fall into some kind of routine. 152 00:09:46,840 --> 00:09:49,480 Speaker 1: Yeah, yeah, yeah, yeah, you gotta have your you have 153 00:09:49,520 --> 00:09:50,200 Speaker 1: your piss jug. 154 00:09:50,720 --> 00:09:52,920 Speaker 2: They don't just use the diner with the sign that 155 00:09:52,960 --> 00:09:54,600 Speaker 2: says eat at and ame of diner. 156 00:09:55,040 --> 00:09:58,280 Speaker 1: I mean, it's uh, it's gotta be tough, man, it's 157 00:09:58,280 --> 00:10:02,240 Speaker 1: gotta be I I have I have pea anxieties, so man, 158 00:10:02,400 --> 00:10:03,240 Speaker 1: I would. 159 00:10:04,800 --> 00:10:05,120 Speaker 2: Hello. 160 00:10:07,000 --> 00:10:10,160 Speaker 1: I'd like to be a whale though, because no one 161 00:10:10,160 --> 00:10:14,440 Speaker 1: would know except for the giant, except for the enormous 162 00:10:16,280 --> 00:10:20,520 Speaker 1: warm spot. A single whale can actually pee out two 163 00:10:20,600 --> 00:10:25,040 Speaker 1: hundred and fifty gallons of pee a day. That is 164 00:10:25,440 --> 00:10:30,960 Speaker 1: daily amounts. It's a lot of Wow, it's a lot. 165 00:10:31,040 --> 00:10:36,839 Speaker 1: It's quite a bit. And so through their urine, their 166 00:10:36,840 --> 00:10:42,840 Speaker 1: placentas and carcasses, whales release around three thousand, seven hundred 167 00:10:42,880 --> 00:10:48,760 Speaker 1: and eighty tons of nitrogen into lower nutrient areas. So 168 00:10:49,360 --> 00:10:53,240 Speaker 1: that's that's an incredible transfer of nutrients to these areas 169 00:10:53,240 --> 00:10:56,480 Speaker 1: that need them. So it helps support these warmer areas, 170 00:10:56,520 --> 00:11:02,679 Speaker 1: help support like you know, coral reefs, all the animals there, plankton, phytoplankton. 171 00:11:03,320 --> 00:11:10,200 Speaker 1: It's a fantastic, a fantastic sort of boost to these ecosystems. 172 00:11:10,280 --> 00:11:13,000 Speaker 2: Yeah, and then I have and I'm still hung up 173 00:11:13,000 --> 00:11:15,040 Speaker 2: on just the idea too, that the colder parts of 174 00:11:15,040 --> 00:11:18,400 Speaker 2: the ocean are denser in life. Like if you'd forced 175 00:11:18,400 --> 00:11:20,040 Speaker 2: me to guess, I would have said the opposite. I 176 00:11:20,080 --> 00:11:22,720 Speaker 2: would have imagined, like the ocean of the Equator is 177 00:11:22,760 --> 00:11:26,079 Speaker 2: like a tropical rainforest. The ocean. You know, yeah, I 178 00:11:26,080 --> 00:11:26,600 Speaker 2: guess it's. 179 00:11:27,720 --> 00:11:31,360 Speaker 1: Yeah, it is very interesting because it's like you have 180 00:11:31,440 --> 00:11:33,760 Speaker 1: these kind of like one thing that is true is 181 00:11:33,800 --> 00:11:36,400 Speaker 1: that when you get very very deep in the ocean, 182 00:11:36,640 --> 00:11:41,280 Speaker 1: then some nutrients, like the nutrient gradient is kind of 183 00:11:41,360 --> 00:11:44,160 Speaker 1: more spread out. But then you have like these these 184 00:11:44,160 --> 00:11:49,360 Speaker 1: hot spots of nutrients near thermal vents. But in colder waters, 185 00:11:49,440 --> 00:11:54,720 Speaker 1: you actually do have a high density of things like krill. 186 00:11:55,640 --> 00:11:58,760 Speaker 1: You have like a lot of tuna, you have a 187 00:11:58,760 --> 00:12:02,400 Speaker 1: lot of these these sort of large groups of schooling fish, 188 00:12:02,480 --> 00:12:05,599 Speaker 1: like a bunch of biomass. Part of that is the 189 00:12:06,120 --> 00:12:11,120 Speaker 1: light cycle in these areas. So like even though it's colder, right, 190 00:12:11,120 --> 00:12:13,000 Speaker 1: and you'd think like, oh, well then that would mean 191 00:12:13,040 --> 00:12:16,440 Speaker 1: there's fewer animals there, you still have like a lot 192 00:12:16,480 --> 00:12:19,400 Speaker 1: of energy that is contained within these waters. 193 00:12:19,679 --> 00:12:20,440 Speaker 2: Cool. Wow. 194 00:12:20,520 --> 00:12:21,120 Speaker 1: Yeah, yeah. 195 00:12:21,360 --> 00:12:23,480 Speaker 2: I always like to find out that we have so 196 00:12:23,520 --> 00:12:26,320 Speaker 2: many mental pictures of habitats where we think nothing lives there, 197 00:12:26,520 --> 00:12:29,080 Speaker 2: you know, like a sahara or just a black of 198 00:12:29,080 --> 00:12:31,079 Speaker 2: ice with one polar bear standing on it. But no, 199 00:12:31,240 --> 00:12:32,320 Speaker 2: it's full of life. It's great. 200 00:12:32,800 --> 00:12:36,360 Speaker 1: Yeah, I mean it is, it is. It is true 201 00:12:36,440 --> 00:12:39,000 Speaker 1: that like polar bears do sometimes have a tough run 202 00:12:39,000 --> 00:12:40,960 Speaker 1: of it because they're actually like on the land, so 203 00:12:41,160 --> 00:12:45,280 Speaker 1: polar regions, like when you're on the land itself, because 204 00:12:45,320 --> 00:12:49,840 Speaker 1: that is not very conducive to the growth of vegetation 205 00:12:50,679 --> 00:12:54,199 Speaker 1: on the terrain. Yes, actually it's pretty tough. That's why 206 00:12:54,240 --> 00:12:56,760 Speaker 1: things like penguins they go in the water to fish 207 00:12:56,840 --> 00:12:58,760 Speaker 1: because there's not a lot of stuff like in the 208 00:12:58,840 --> 00:13:03,160 Speaker 1: Arctic on or sorry, in the Antarctic for them to 209 00:13:03,600 --> 00:13:07,080 Speaker 1: feed on on the land or in the Arctic. Certainly 210 00:13:07,080 --> 00:13:08,840 Speaker 1: there's parts of the Arctic where a lot of animals 211 00:13:08,880 --> 00:13:11,520 Speaker 1: like seals and polar bears will need to like go 212 00:13:11,600 --> 00:13:13,720 Speaker 1: in the water, and then polar bears of course will 213 00:13:13,760 --> 00:13:16,400 Speaker 1: go after the animals that are fishing in the water. 214 00:13:16,760 --> 00:13:19,280 Speaker 1: It is really cool. This is a little more kind 215 00:13:19,280 --> 00:13:24,000 Speaker 1: of like complicated science. But the way that the cold 216 00:13:24,280 --> 00:13:29,520 Speaker 1: waters work is it encourages some sea mixing that can 217 00:13:29,640 --> 00:13:35,800 Speaker 1: actually bring up nutrients that are sequestered in these like waters. 218 00:13:36,200 --> 00:13:39,360 Speaker 1: So you have the system that like you'd think of 219 00:13:39,400 --> 00:13:42,040 Speaker 1: course like that warm you know, it'd be easier for 220 00:13:42,160 --> 00:13:44,120 Speaker 1: life to exist in warm waters. But it's a very 221 00:13:44,760 --> 00:13:50,959 Speaker 1: kind of specific chemical thermodynamic process that churns up nutrients 222 00:13:51,080 --> 00:13:55,120 Speaker 1: in the water, allowing you know, the smallest forms of 223 00:13:55,160 --> 00:13:59,200 Speaker 1: life to thrive, and then you have this thriving food chain. 224 00:14:01,120 --> 00:14:05,640 Speaker 2: Wow. Amazing. Yeah, yeah, just never you just never think 225 00:14:05,640 --> 00:14:07,680 Speaker 2: about this stuff with the sea. It's all down there. 226 00:14:07,720 --> 00:14:09,480 Speaker 2: And plus I have a phobia of sea creature. So 227 00:14:09,520 --> 00:14:10,880 Speaker 2: I'm trying you do you do? 228 00:14:12,080 --> 00:14:16,360 Speaker 1: Whales are fine? Okay, Well, I figured I figured this 229 00:14:16,520 --> 00:14:20,480 Speaker 1: is I'm not intentionally trying to torment you on this episode, 230 00:14:19,640 --> 00:14:22,840 Speaker 1: So there's no jellyfish. 231 00:14:22,960 --> 00:14:24,960 Speaker 2: Yeah. Part of and part of my lore with my 232 00:14:25,000 --> 00:14:28,160 Speaker 2: silly phobia is that if I can imagine it as 233 00:14:28,200 --> 00:14:31,680 Speaker 2: a land animal, it's okay. Yeah, and whales. It's just 234 00:14:31,720 --> 00:14:34,040 Speaker 2: some kind of like packetrm or elephants or something. It's fine. 235 00:14:34,080 --> 00:14:36,320 Speaker 1: They used to be terrestrial animals. They used to be 236 00:14:36,360 --> 00:14:39,480 Speaker 1: sort of these little deer like animals, and then they're 237 00:14:39,600 --> 00:14:42,680 Speaker 1: just like, I'm tired of living on land. Man, too 238 00:14:42,680 --> 00:14:46,480 Speaker 1: many taxes, so then they lost all of their limbs 239 00:14:46,560 --> 00:14:49,080 Speaker 1: and wouldn't know. 240 00:14:48,560 --> 00:14:50,520 Speaker 2: It is this complex the text cheets. 241 00:14:50,680 --> 00:14:52,960 Speaker 1: Yes, there's these. 242 00:14:52,880 --> 00:14:56,920 Speaker 2: Cons that they were like still too many taxes about. 243 00:14:58,200 --> 00:15:03,440 Speaker 1: Off real offshore for tax holdings. Yeah, have you. 244 00:15:03,440 --> 00:15:06,560 Speaker 2: Seen the tax bill in even the Cayman Islands? Forget it, 245 00:15:06,600 --> 00:15:09,360 Speaker 2: I've going down there about in the Cayman Oceans. 246 00:15:09,440 --> 00:15:14,440 Speaker 1: Yeah. The reason that whales migrate, right because like, well 247 00:15:14,440 --> 00:15:17,080 Speaker 1: why not just stay in these polar regions because there's 248 00:15:17,160 --> 00:15:19,160 Speaker 1: a lot of food there for them to eat, like krill, 249 00:15:20,560 --> 00:15:24,200 Speaker 1: is that it's actually easier for them to keep their 250 00:15:24,800 --> 00:15:29,160 Speaker 1: calves save and alive in these warmer waters. The calves 251 00:15:29,320 --> 00:15:33,960 Speaker 1: can't swim as well, it keeps them safe from larger predators, 252 00:15:35,200 --> 00:15:38,400 Speaker 1: and it also forced like it has they all kind 253 00:15:38,400 --> 00:15:40,680 Speaker 1: of go into these regions to be in sort of 254 00:15:40,680 --> 00:15:44,680 Speaker 1: a meet and greet area for mating. Because whale, really 255 00:15:44,760 --> 00:15:48,760 Speaker 1: large whales some smaller whales like dolphins, which is a 256 00:15:48,800 --> 00:15:54,320 Speaker 1: type of toothed whale actually, or orcas tend to be 257 00:15:54,560 --> 00:15:58,080 Speaker 1: in groups right, like a pot of way of dolphins, 258 00:15:58,120 --> 00:16:01,040 Speaker 1: but they're really big ones like blue why they're usually 259 00:16:01,040 --> 00:16:05,800 Speaker 1: actually relatively solitary and they communicate over really long distances. 260 00:16:05,800 --> 00:16:10,840 Speaker 1: That's why the whales song where it's like ooh, it's 261 00:16:10,880 --> 00:16:14,360 Speaker 1: a method of communication over a very long distance. But 262 00:16:14,400 --> 00:16:16,880 Speaker 1: the mothers and the calves hang out quite a bit. 263 00:16:17,000 --> 00:16:17,600 Speaker 1: But otherwise you. 264 00:16:17,560 --> 00:16:19,240 Speaker 2: Don't have like very good whales song. By the way, 265 00:16:19,280 --> 00:16:21,600 Speaker 2: I can't just thing you. 266 00:16:24,440 --> 00:16:27,160 Speaker 1: But so when they go to these tropical waters, it 267 00:16:27,240 --> 00:16:30,200 Speaker 1: forces them into a more dense area and it makes 268 00:16:30,240 --> 00:16:33,200 Speaker 1: it easier for them to find a mate. We honestly 269 00:16:33,240 --> 00:16:36,320 Speaker 1: don't know that much about the largest whales and their 270 00:16:36,560 --> 00:16:40,840 Speaker 1: mating practices, like blue whales, because it's hard to see them, man, 271 00:16:40,880 --> 00:16:43,560 Speaker 1: they're in the water. You'd think that we would be 272 00:16:43,600 --> 00:16:46,640 Speaker 1: able to because they're so big, but it's just like 273 00:16:46,680 --> 00:16:49,560 Speaker 1: we don't. We can't just like hang out down there 274 00:16:49,560 --> 00:16:52,160 Speaker 1: in a submarine waiting around for whales to get it on. 275 00:16:52,800 --> 00:16:55,640 Speaker 1: So it's actually very rare that we observe it. And 276 00:16:55,680 --> 00:16:57,920 Speaker 1: actually the one time we did observe it. I think 277 00:16:58,000 --> 00:17:01,080 Speaker 1: in blue whales it was actually a two males, which 278 00:17:01,160 --> 00:17:04,960 Speaker 1: was hilarious that like, we've weighed around really long time 279 00:17:05,200 --> 00:17:07,880 Speaker 1: and then it just spits in the face of homophobes 280 00:17:07,920 --> 00:17:10,720 Speaker 1: who don't understand that a lot of animals are gay. 281 00:17:10,760 --> 00:17:11,400 Speaker 1: So I love it. 282 00:17:11,480 --> 00:17:14,199 Speaker 2: Maybe maybe it'll turn out that blue whales are just 283 00:17:14,280 --> 00:17:17,280 Speaker 2: these wild pan sexuals, you know, you. 284 00:17:17,240 --> 00:17:19,560 Speaker 1: Know, I wouldn't be wouldn't be surprised. 285 00:17:20,080 --> 00:17:23,840 Speaker 2: Yeah, like that that homosexual encounter was between many encounters 286 00:17:23,840 --> 00:17:25,000 Speaker 2: among the kinds of whales. 287 00:17:25,200 --> 00:17:28,200 Speaker 1: It really fits their vibe to be honest, that all 288 00:17:28,560 --> 00:17:31,880 Speaker 1: that all whales are pant sexuals proved me wrong. So yes, 289 00:17:31,960 --> 00:17:35,399 Speaker 1: so they they they move into these warmer waters for mating, 290 00:17:35,600 --> 00:17:39,919 Speaker 1: which also means they actually leave behind, uh placenta, and 291 00:17:39,960 --> 00:17:44,719 Speaker 1: that placenta also contains a bunch of nutrients, and that 292 00:17:44,800 --> 00:17:49,439 Speaker 1: also contributes to the this nitrogen cycle. It contributes to 293 00:17:49,480 --> 00:17:53,800 Speaker 1: the fertilization of these waters. They also each placenta waste, like, yeah, 294 00:17:53,920 --> 00:17:54,960 Speaker 1: weighs hundreds of pounds. 295 00:17:55,040 --> 00:17:57,600 Speaker 2: Concept has never crossed my mind in my whole life. 296 00:17:57,800 --> 00:18:02,960 Speaker 1: There they're mammals, placential male Yeah, of course they got one. 297 00:18:03,119 --> 00:18:07,040 Speaker 2: Yeah, it's like three pounds. It is nutrient bomb or whatever. 298 00:18:07,560 --> 00:18:09,160 Speaker 2: It's quite literally. 299 00:18:08,920 --> 00:18:12,040 Speaker 1: Is it's probably around that, you know, like it's hundreds 300 00:18:12,040 --> 00:18:14,800 Speaker 1: of depends depends on the species of whale, but yeah, 301 00:18:14,800 --> 00:18:19,880 Speaker 1: it's hundreds of pounds. So yeah, and this study, uh, 302 00:18:20,680 --> 00:18:25,320 Speaker 1: the study has shown that like whales are the main 303 00:18:25,400 --> 00:18:29,920 Speaker 1: distributor of nitrogen to tropical waters that the uh, which 304 00:18:30,000 --> 00:18:33,679 Speaker 1: is like extremely important for the whole the whole system. 305 00:18:33,840 --> 00:18:34,200 Speaker 2: And then. 306 00:18:37,560 --> 00:18:42,920 Speaker 1: Yes, the studies lead author told the University of Vermont newspaper, quote, 307 00:18:42,960 --> 00:18:45,720 Speaker 1: we call it the great whale conveyor belt, or it 308 00:18:45,760 --> 00:18:48,640 Speaker 1: can also be thought of as a funnel because whales 309 00:18:48,640 --> 00:18:51,240 Speaker 1: feed over large areas, but they need to be in 310 00:18:51,280 --> 00:18:53,720 Speaker 1: a relatively confined space to find a mate, breed and 311 00:18:53,760 --> 00:18:58,560 Speaker 1: give birth. And the University of Vermont newspaper titled the 312 00:18:58,640 --> 00:19:02,120 Speaker 1: article on this, uh the whale p funnel, the Great 313 00:19:02,119 --> 00:19:06,600 Speaker 1: Whale PA funnel. So that's that's fantastic. 314 00:19:07,000 --> 00:19:10,040 Speaker 2: Give that student their degree right now. They did it. 315 00:19:10,160 --> 00:19:12,399 Speaker 2: They have nothing more to learn at the University of Vermont. 316 00:19:12,800 --> 00:19:17,600 Speaker 1: Also also Ed Goodall, head of the Intergovernmental Engagement at 317 00:19:17,600 --> 00:19:22,720 Speaker 1: Whale and Dolphin Conservation, told the National Geographic National Geographics 318 00:19:22,760 --> 00:19:26,720 Speaker 1: Melissa Hobson quote, the ocean is spluttering along like an 319 00:19:26,720 --> 00:19:29,879 Speaker 1: old car with rusty parts that aren't functioning properly. So 320 00:19:30,680 --> 00:19:33,879 Speaker 1: you know, so basically we need we need. 321 00:19:33,760 --> 00:19:37,560 Speaker 2: This whale peepe What what they saidis fying just the 322 00:19:37,680 --> 00:19:40,480 Speaker 2: verb spluttering straight off of pee talk. I imagined like 323 00:19:40,800 --> 00:19:42,720 Speaker 2: a difficult stream that's set on. 324 00:19:42,840 --> 00:19:45,840 Speaker 1: Me drunk problem, A drunk whal. 325 00:19:46,560 --> 00:19:49,399 Speaker 2: The urologist and a psychologist. Why I reacted. 326 00:19:50,840 --> 00:19:53,040 Speaker 1: A drunk whale trying to aim for the ocean and 327 00:19:53,160 --> 00:19:59,959 Speaker 1: somehow missing and somehow missing its hits Greenland instead. 328 00:20:00,840 --> 00:20:08,359 Speaker 2: Right, Conservative American political officials scattering as this happens. 329 00:20:08,440 --> 00:20:12,439 Speaker 1: Yet, god ah man, I would love it if the 330 00:20:12,480 --> 00:20:16,359 Speaker 1: whales came to Greenland's defense just formed a great peak wall. 331 00:20:20,040 --> 00:20:24,119 Speaker 1: So this process of whales distributing nitrogen with their pee 332 00:20:24,359 --> 00:20:28,280 Speaker 1: used to be even more impressive. You know, we went 333 00:20:28,320 --> 00:20:30,720 Speaker 1: through this whole I think we've talked about this on secretly. 334 00:20:30,760 --> 00:20:34,400 Speaker 1: Incredibly fascinating for something I forgot which topic. But yeah, 335 00:20:34,400 --> 00:20:38,439 Speaker 1: there used to be obviously a huge whaling industry, like 336 00:20:38,720 --> 00:20:42,560 Speaker 1: around three million whales were killed in the twentieth century alone, 337 00:20:42,840 --> 00:20:46,879 Speaker 1: drove their populations down enormously. Yes, and so given what 338 00:20:46,920 --> 00:20:49,240 Speaker 1: we know about the nitrogen cycle. It's likely that this 339 00:20:49,400 --> 00:20:55,080 Speaker 1: huge reduction in whale populations and ergo whale pe means 340 00:20:55,160 --> 00:20:59,359 Speaker 1: that the density of life in the ocean is like 341 00:20:59,400 --> 00:21:01,560 Speaker 1: a fraction of what it used to be in terms 342 00:21:01,560 --> 00:21:05,680 Speaker 1: of like the because there needs to be this fertilization 343 00:21:05,800 --> 00:21:09,440 Speaker 1: process for say tropical waters to be rich in life. 344 00:21:09,520 --> 00:21:13,119 Speaker 1: So wow, right, it's a funny thing, right, Like whale 345 00:21:13,200 --> 00:21:17,919 Speaker 1: p turns out super super important, just incredibly important. So 346 00:21:17,960 --> 00:21:19,960 Speaker 1: when you see like a study and it's like, oh, 347 00:21:20,040 --> 00:21:24,320 Speaker 1: why are we studying whale p? This is why absolutely 348 00:21:24,359 --> 00:21:27,640 Speaker 1: important to like all life in the ocean and therefore 349 00:21:27,720 --> 00:21:28,160 Speaker 1: on Earth. 350 00:21:29,800 --> 00:21:33,320 Speaker 2: Yeah. Yeah, and all those news stories too, whenever they're 351 00:21:33,359 --> 00:21:36,360 Speaker 2: like can you believe this topic is being studied, Like, yes, yes, 352 00:21:36,440 --> 00:21:40,159 Speaker 2: there's probably a reason. Yeah, why would professional scientists just 353 00:21:40,240 --> 00:21:43,800 Speaker 2: be goofing off but also working really hard you know 354 00:21:43,840 --> 00:21:46,080 Speaker 2: what I mean? Yeah, like they either study something important 355 00:21:46,240 --> 00:21:48,680 Speaker 2: or go home and cook or go on vacation a yeah, 356 00:21:48,800 --> 00:21:52,399 Speaker 2: like they don't waste time and work super hard both. 357 00:21:52,920 --> 00:21:55,960 Speaker 1: Yeah, life life on Earth is like a giant Jenga tower, 358 00:21:56,080 --> 00:21:58,080 Speaker 1: and like you might look at one piece and it's like, 359 00:21:58,200 --> 00:22:00,680 Speaker 1: whale P, how is this important? And you pull it 360 00:22:00,720 --> 00:22:02,880 Speaker 1: out and the whole thing just like comes crashing down. 361 00:22:03,920 --> 00:22:05,919 Speaker 1: It was all, yeah, it was all being held up 362 00:22:05,960 --> 00:22:07,280 Speaker 1: by whale p guys. 363 00:22:08,560 --> 00:22:10,280 Speaker 2: I also I also want to know how many people 364 00:22:10,480 --> 00:22:13,080 Speaker 2: made some kind of little micro blog post, you know, 365 00:22:13,600 --> 00:22:15,560 Speaker 2: ex Blue sky its atter ibat, like can you believe 366 00:22:15,560 --> 00:22:18,120 Speaker 2: they're talking about whale p while that person was using 367 00:22:18,119 --> 00:22:21,600 Speaker 2: their phone on the toilet? I want another savage because 368 00:22:21,640 --> 00:22:23,280 Speaker 2: up too well. 369 00:22:23,520 --> 00:22:29,159 Speaker 1: Or goshtern hypigrites. Yeah, yeah, so there we have it. 370 00:22:29,280 --> 00:22:31,439 Speaker 2: Folks who would even think about this flesh? 371 00:22:31,480 --> 00:22:37,159 Speaker 1: Yeah you know, yeah, yeah, well, you know, whale p 372 00:22:38,400 --> 00:22:41,000 Speaker 1: it's extraordinary, doing a lot more for the world than 373 00:22:41,320 --> 00:22:43,160 Speaker 1: some politicians, am I right? 374 00:22:43,440 --> 00:22:45,680 Speaker 2: And I really didn't know how the ocean works. There's 375 00:22:45,680 --> 00:22:50,040 Speaker 2: so much transit of calories and resources and energy whatever 376 00:22:50,080 --> 00:22:50,359 Speaker 2: it is. 377 00:22:50,560 --> 00:22:53,480 Speaker 1: I really like how you I really like how you 378 00:22:53,640 --> 00:22:58,320 Speaker 1: describe them as pe long haul truckers that that's so apt. 379 00:22:58,520 --> 00:23:03,159 Speaker 2: Yeah. Yeah, They're body is the what's it called the 380 00:23:03,160 --> 00:23:09,399 Speaker 2: back of the truck where the stuff is. 381 00:23:05,800 --> 00:23:12,520 Speaker 1: The the trailer the tractor. I'm also imagining them wearing 382 00:23:12,560 --> 00:23:16,760 Speaker 1: the like mesh baseball hats with some like funny whale 383 00:23:16,800 --> 00:23:23,280 Speaker 1: related pun like whale whale whale lookuta is and like 384 00:23:23,320 --> 00:23:25,439 Speaker 1: they have like their fin has sort of the like 385 00:23:25,800 --> 00:23:28,320 Speaker 1: a sexy lady whale, like it's a mudfla. 386 00:23:28,520 --> 00:23:28,720 Speaker 3: Yeah. 387 00:23:33,400 --> 00:23:36,280 Speaker 2: Oh, instead of BUCkies, it's buck peas. There you go, 388 00:23:36,680 --> 00:23:39,240 Speaker 2: that would be the gear. Do you know BUCkies stops. 389 00:23:39,280 --> 00:23:41,880 Speaker 2: I guess that's certainly not in Italy, but it's only 390 00:23:41,880 --> 00:23:42,840 Speaker 2: a southern US thing. 391 00:23:43,240 --> 00:23:48,439 Speaker 1: Okay, well, i'll, i'll. I'm sure people from that region 392 00:23:48,440 --> 00:23:50,200 Speaker 1: are laughing at your show so. 393 00:23:50,160 --> 00:23:54,080 Speaker 2: Hard at buck peas, they can't stand it. They applause 394 00:23:54,119 --> 00:23:56,360 Speaker 2: the show to yeah. 395 00:23:56,400 --> 00:23:59,520 Speaker 1: Yeah, they bust their guts right up at that joke. Alex. 396 00:24:00,040 --> 00:24:04,000 Speaker 1: Don't let anyone convince you otherwise. I'm gonna take a 397 00:24:04,040 --> 00:24:08,520 Speaker 1: quick break, and when we get back is more urine science. 398 00:24:08,640 --> 00:24:14,720 Speaker 1: Hooray whoop. All right, Alex, So I'm just gonna I'm 399 00:24:14,760 --> 00:24:18,440 Speaker 1: just gonna spit this right out. Chinese soft shelled turtles 400 00:24:18,560 --> 00:24:19,720 Speaker 1: urinate through their mouths. 401 00:24:21,400 --> 00:24:21,840 Speaker 2: Perfect. 402 00:24:21,920 --> 00:24:26,480 Speaker 1: Yeah, no for the questions, So Chinese soft shelled turtles, 403 00:24:26,520 --> 00:24:29,679 Speaker 1: what are they? They are these sort of olive green, 404 00:24:30,240 --> 00:24:36,680 Speaker 1: flat aquatic turtles with a relatively soft shell, long neck, 405 00:24:36,880 --> 00:24:41,080 Speaker 1: and long pointed snoots. They are silly looking animals. 406 00:24:43,080 --> 00:24:45,440 Speaker 2: I google the picture and the face is very muppet. 407 00:24:45,960 --> 00:24:52,240 Speaker 1: It's very muppet. It looks like an alien muppet. And 408 00:24:52,400 --> 00:24:57,120 Speaker 1: they do excrete urine out of their mouths. Now, they 409 00:24:57,160 --> 00:25:01,479 Speaker 1: do have a kloaeca. The kloeca be the whole that 410 00:25:01,560 --> 00:25:06,280 Speaker 1: does it all. In birds and reptiles and amphibians, the 411 00:25:06,359 --> 00:25:11,359 Speaker 1: kloaca is it's like it's like our rectum and our 412 00:25:12,040 --> 00:25:16,040 Speaker 1: urinary opening and all other openings down there combined into 413 00:25:16,080 --> 00:25:17,480 Speaker 1: one magical hole. 414 00:25:17,840 --> 00:25:20,280 Speaker 2: But yeah, if we had more of a grindset, we 415 00:25:20,280 --> 00:25:22,440 Speaker 2: would have a cloaca. We would just knock it all out. 416 00:25:22,640 --> 00:25:23,920 Speaker 2: It's like a four hour work week. 417 00:25:24,000 --> 00:25:28,000 Speaker 1: But for all sufficient man, Yeah, yeah, you know, it's 418 00:25:28,080 --> 00:25:30,840 Speaker 1: like it's like we're doing all of these separate workflows 419 00:25:30,840 --> 00:25:33,000 Speaker 1: and we could have it all go through a kloaca 420 00:25:33,040 --> 00:25:38,760 Speaker 1: come on work flow. Yeah. But yeah, So these these 421 00:25:38,800 --> 00:25:43,240 Speaker 1: turtles often, like you know, an animal with the kloaca, 422 00:25:43,359 --> 00:25:48,720 Speaker 1: everything comes out of the kloaca, urine, feces, reproductive materials. 423 00:25:49,359 --> 00:25:53,200 Speaker 1: But for these Chinese soft shelled turtles, they urinate mainly 424 00:25:53,280 --> 00:25:55,560 Speaker 1: out of their mouths. Now, they can urinate out of 425 00:25:55,600 --> 00:25:59,960 Speaker 1: the kloaca, but a lot of the important urrea extreme 426 00:26:00,480 --> 00:26:05,240 Speaker 1: actually happens through the mouth. So they The way they 427 00:26:05,280 --> 00:26:09,120 Speaker 1: do it is they take water into their mouth, kind 428 00:26:09,119 --> 00:26:12,360 Speaker 1: of hold it there like you're swishing it, and then 429 00:26:12,359 --> 00:26:15,920 Speaker 1: they spit it out back out into like the water. 430 00:26:16,080 --> 00:26:18,520 Speaker 1: So usually they're like on land, they stick their head 431 00:26:18,560 --> 00:26:21,200 Speaker 1: in a puddle. They take in the water, kind of 432 00:26:21,280 --> 00:26:22,960 Speaker 1: let it soak there for a while, and then spit 433 00:26:23,000 --> 00:26:24,840 Speaker 1: it back out. And when they're spitting it back out, 434 00:26:25,240 --> 00:26:29,159 Speaker 1: it is with it comes a bunch of urea that 435 00:26:29,200 --> 00:26:32,679 Speaker 1: they just excreted through their mouths. 436 00:26:32,720 --> 00:26:33,080 Speaker 2: Weird. 437 00:26:33,720 --> 00:26:36,640 Speaker 1: Yeah, the way they study it's. 438 00:26:36,520 --> 00:26:40,560 Speaker 2: Super reverse of swallowing up pill Yes, like like first 439 00:26:40,640 --> 00:26:43,480 Speaker 2: I need water or last I need water and then 440 00:26:43,960 --> 00:26:45,680 Speaker 2: I don't know if there's a good metaphor. 441 00:26:45,560 --> 00:26:48,840 Speaker 1: It's it's something is what it is alex Uh. The 442 00:26:48,920 --> 00:26:51,760 Speaker 1: way these these scientists study these turtles is they like 443 00:26:51,920 --> 00:26:55,720 Speaker 1: restrain them on land and then like had like pottle, 444 00:26:55,800 --> 00:26:58,040 Speaker 1: like like a puddle of water or a bucket of water, 445 00:26:58,480 --> 00:27:00,840 Speaker 1: and like the the turn is like, well it got 446 00:27:00,880 --> 00:27:03,200 Speaker 1: a pee and like stuck its head in the water, 447 00:27:03,280 --> 00:27:05,800 Speaker 1: held water in its mouth, and then when it spitted out, 448 00:27:05,920 --> 00:27:08,200 Speaker 1: the researchers were able to measure that there was an 449 00:27:08,200 --> 00:27:14,400 Speaker 1: increase amount of urrea in the bucket, so you know, wow, yeah. 450 00:27:15,359 --> 00:27:17,520 Speaker 2: I guess yeah, And that's probably not too bad for 451 00:27:17,520 --> 00:27:18,639 Speaker 2: the turtle because you got a pe. 452 00:27:18,880 --> 00:27:22,760 Speaker 1: So they did lit the turtle peace, so that's that's 453 00:27:22,800 --> 00:27:26,160 Speaker 1: always good, you know. Yeah, I'm sure the turtle is 454 00:27:26,640 --> 00:27:28,560 Speaker 1: just a little mildly inconvenienced. 455 00:27:28,880 --> 00:27:29,040 Speaker 2: Yea. 456 00:27:29,280 --> 00:27:32,800 Speaker 1: So, like the lining of the soft shelled turtle's mouth 457 00:27:33,040 --> 00:27:38,040 Speaker 1: transports urrea from the blood stream and it's able to 458 00:27:38,160 --> 00:27:40,600 Speaker 1: kind of osmos out into the water. So it holds 459 00:27:40,640 --> 00:27:42,440 Speaker 1: the water in its mouth. It has a bunch of 460 00:27:42,560 --> 00:27:45,399 Speaker 1: urea that's in its mouth and it's able to be 461 00:27:45,440 --> 00:27:49,320 Speaker 1: excreted into the water osmos into this water. They have 462 00:27:49,359 --> 00:27:52,640 Speaker 1: all these sort of fingerlike projections in their mouths called 463 00:27:52,800 --> 00:27:59,320 Speaker 1: pilla that facilitates this transfer. And the reason that they 464 00:27:59,359 --> 00:28:01,560 Speaker 1: have such a like why not just pee? Why not 465 00:28:01,560 --> 00:28:05,640 Speaker 1: just pee out the kloaca? Right, it seems simpler. So yeah, 466 00:28:06,320 --> 00:28:09,920 Speaker 1: the reason they do it grinds it, Yeah, chloaca grindset. 467 00:28:10,080 --> 00:28:12,840 Speaker 1: The reason they do it in such a roundabout way 468 00:28:13,480 --> 00:28:17,000 Speaker 1: is the brackishness of the water in their natural habitat. 469 00:28:17,080 --> 00:28:20,280 Speaker 1: So a brackish water is salty water. It's not as 470 00:28:20,320 --> 00:28:24,399 Speaker 1: salty as sea water, but it's relatively salty, so in 471 00:28:24,480 --> 00:28:27,600 Speaker 1: swamp they live in swamps and marshes, the water's a 472 00:28:27,600 --> 00:28:32,960 Speaker 1: bit salty, so it's brackish because of this higher salt 473 00:28:33,000 --> 00:28:36,440 Speaker 1: concentration than say fresh water. If they had to drink 474 00:28:36,560 --> 00:28:40,000 Speaker 1: enough water to move urrea out into their urine, because 475 00:28:40,040 --> 00:28:42,920 Speaker 1: like we drink a lot of water, and that helps 476 00:28:42,960 --> 00:28:47,840 Speaker 1: facilitate us transporting waste products out our pea. So the 477 00:28:47,920 --> 00:28:51,960 Speaker 1: water is running through our system basically helping us osmos 478 00:28:52,080 --> 00:28:55,080 Speaker 1: all of these these waste products like urea, carrying it 479 00:28:55,120 --> 00:28:57,800 Speaker 1: down through the body, through our kidneys into our bladder 480 00:28:57,880 --> 00:29:00,520 Speaker 1: and we peel it out and that's the miracle of 481 00:29:00,840 --> 00:29:05,080 Speaker 1: pea time. So with these turtles drinking all that brackish 482 00:29:05,120 --> 00:29:07,920 Speaker 1: water means taking in a lot of salt. Now they 483 00:29:07,920 --> 00:29:10,080 Speaker 1: have all this excess salt and they would have to 484 00:29:10,120 --> 00:29:14,040 Speaker 1: deal with it somehow. So instead of having to deal 485 00:29:14,080 --> 00:29:17,240 Speaker 1: with all that excess salt in order to facilitate urination, 486 00:29:18,400 --> 00:29:24,680 Speaker 1: they've just like moved the urea excretion process from one end, 487 00:29:24,800 --> 00:29:28,760 Speaker 1: the far end, to the front end where they they 488 00:29:28,840 --> 00:29:32,480 Speaker 1: just swish the water in their mouth, let that let 489 00:29:32,520 --> 00:29:34,920 Speaker 1: all the urea come out in that water in their mouth, 490 00:29:34,960 --> 00:29:38,360 Speaker 1: and then spit it out. So those unique urea transporter 491 00:29:38,480 --> 00:29:41,239 Speaker 1: proteins exist in the lining of the mouth, whereas it 492 00:29:41,280 --> 00:29:44,840 Speaker 1: does not exist in the kidneys, which is really interesting. 493 00:29:46,560 --> 00:29:48,480 Speaker 2: That's amazing. What a good reason to do it? 494 00:29:48,760 --> 00:29:51,560 Speaker 1: Yeah, great, Yeah, they just they kind of like they 495 00:29:51,800 --> 00:29:54,479 Speaker 1: solve this plumbing issue by like that, what if we 496 00:29:55,040 --> 00:29:57,440 Speaker 1: switch the polarities of the pea. 497 00:29:59,280 --> 00:30:03,480 Speaker 2: Yeah, this, this is going to destroy the grind set 498 00:30:03,480 --> 00:30:06,960 Speaker 2: Alpha success bro podcasts about how great kloacas are. I know, 499 00:30:07,720 --> 00:30:09,600 Speaker 2: this is the kind of information they don't want out there. 500 00:30:09,640 --> 00:30:12,040 Speaker 1: You know, I'm coming for Cloaca bros. And they know it. 501 00:30:12,080 --> 00:30:14,440 Speaker 1: They're scared of it. 502 00:30:14,480 --> 00:30:15,880 Speaker 2: Really, guys. 503 00:30:15,960 --> 00:30:20,640 Speaker 1: Yeah, you might be wondering, well, why don't they just 504 00:30:20,640 --> 00:30:22,680 Speaker 1: figure out a way to get rid of the excess salt. 505 00:30:22,880 --> 00:30:25,480 Speaker 1: And in fact, this is the case for other turtles. 506 00:30:25,600 --> 00:30:29,680 Speaker 1: Sea turtles use a different technique to deal with sea salt, 507 00:30:30,440 --> 00:30:34,280 Speaker 1: the extremely salty waters, so they drink salt water all 508 00:30:34,280 --> 00:30:39,280 Speaker 1: the time. They excrete the water through lachrymal glands, so 509 00:30:39,600 --> 00:30:43,040 Speaker 1: they're crying. They cry out the excess salt. So you 510 00:30:43,080 --> 00:30:45,920 Speaker 1: may see a sea turtle it looks like it's crying. 511 00:30:45,920 --> 00:30:48,080 Speaker 1: You might think it's because of all the plastic straws 512 00:30:48,120 --> 00:30:50,920 Speaker 1: in the ocean. No, it's because it has to excrete 513 00:30:52,040 --> 00:30:55,920 Speaker 1: extra salt out in its tears, and this allows it 514 00:30:56,000 --> 00:30:59,440 Speaker 1: to It's basically solving the same problem that the soft 515 00:30:59,480 --> 00:31:02,920 Speaker 1: shelled turtle has in a different way, because evolution is 516 00:31:02,960 --> 00:31:05,600 Speaker 1: not necessarily going to always arrive at the same exact 517 00:31:05,600 --> 00:31:08,880 Speaker 1: solution to a similar problem, and sometimes that's because of 518 00:31:08,960 --> 00:31:12,280 Speaker 1: different types of evolutionary pressures. Sea turtles obviously live in 519 00:31:12,320 --> 00:31:14,480 Speaker 1: a different environment, they have a different method of feeding, 520 00:31:14,680 --> 00:31:17,600 Speaker 1: they have more salt in their water, so these glands 521 00:31:17,640 --> 00:31:21,200 Speaker 1: probably ended up being the best solution for them. But 522 00:31:21,280 --> 00:31:24,560 Speaker 1: sometimes you can just have two perfectly good solutions for 523 00:31:24,600 --> 00:31:28,479 Speaker 1: the same process for the same problem. Because yeah, evolution, Yes, 524 00:31:29,120 --> 00:31:31,160 Speaker 1: if it works, it works, that's the whole thing. 525 00:31:33,240 --> 00:31:36,200 Speaker 2: Yeah, especially it seems like evolution is that its most 526 00:31:36,960 --> 00:31:41,680 Speaker 2: creative and lazily just do it. When it comes to holes, 527 00:31:41,960 --> 00:31:44,880 Speaker 2: you know, well that hole will do that, done, trying 528 00:31:45,200 --> 00:31:46,360 Speaker 2: done thinking. Yeah. 529 00:31:46,880 --> 00:31:52,240 Speaker 1: We basically when you examine basically any organism, we are 530 00:31:52,280 --> 00:31:54,720 Speaker 1: all tubes of varying complexities. 531 00:31:54,800 --> 00:31:55,040 Speaker 2: Sure. 532 00:31:55,200 --> 00:31:58,160 Speaker 1: Yeah, as long as the two functions, stuff goes in 533 00:31:58,160 --> 00:32:00,640 Speaker 1: one and comes out the other, go out your sulf 534 00:32:00,680 --> 00:32:01,520 Speaker 1: and animal. 535 00:32:02,720 --> 00:32:05,600 Speaker 2: See that for this reason, I'm going to stop discriminating 536 00:32:05,920 --> 00:32:08,720 Speaker 2: against sea sponges. All this time, I've been like, we're 537 00:32:08,800 --> 00:32:09,880 Speaker 2: super different, but no. 538 00:32:10,080 --> 00:32:13,680 Speaker 1: We just tubes, sea squorts and sea sponges. Just kind 539 00:32:13,680 --> 00:32:15,880 Speaker 1: of like cut out all of the other nonsense. 540 00:32:16,680 --> 00:32:20,120 Speaker 2: I'm gonna start letting sea sponges be customers in my 541 00:32:20,160 --> 00:32:22,840 Speaker 2: business and hire my jobs and stuff. Yeah, it's time 542 00:32:23,240 --> 00:32:23,800 Speaker 2: we're the same. 543 00:32:25,000 --> 00:32:32,720 Speaker 1: I've learned of Rungebob is thrilled. All right, So we're 544 00:32:32,760 --> 00:32:35,480 Speaker 1: going to take a quick break and when we are 545 00:32:36,640 --> 00:32:39,120 Speaker 1: when we come back, we're going to discuss the most 546 00:32:39,160 --> 00:32:41,520 Speaker 1: delicious smelling urine in the world. 547 00:32:43,360 --> 00:32:51,360 Speaker 4: Code creature feature gets you, all right, So, uh, there 548 00:32:51,440 --> 00:32:56,800 Speaker 4: is a critter out there, Alex who's urine smells like 549 00:32:56,920 --> 00:32:59,680 Speaker 4: hot buttery movie theater popcorn. 550 00:33:01,280 --> 00:33:05,160 Speaker 2: It's me, no, who is it? Gross? 551 00:33:05,360 --> 00:33:10,240 Speaker 1: So and so we're actually staying in Asia. We're now 552 00:33:10,280 --> 00:33:15,000 Speaker 1: in Southeast Asia. There is an animal. It peas relatively normally. 553 00:33:15,040 --> 00:33:19,880 Speaker 1: It peas out of its urethra. It's a mammal, but 554 00:33:20,040 --> 00:33:24,720 Speaker 1: it's urine smells like buttered popcorn. This is the binter wrong, 555 00:33:25,000 --> 00:33:28,920 Speaker 1: otherwise known as the bear cat. It's found in Southeast 556 00:33:28,960 --> 00:33:35,040 Speaker 1: Asian tall forest so it is a vivarid. This is 557 00:33:35,200 --> 00:33:42,479 Speaker 1: the family to which civets, genets, and fosses belong. So, Alex, 558 00:33:42,520 --> 00:33:44,480 Speaker 1: I want you to take a look at that that 559 00:33:44,680 --> 00:33:47,560 Speaker 1: cute bear cat for a minute and just appreciate its 560 00:33:47,720 --> 00:33:49,320 Speaker 1: scrungly appearance. 561 00:33:50,440 --> 00:33:52,760 Speaker 2: Yeah, I was gonna say what you said the name. 562 00:33:52,840 --> 00:33:54,320 Speaker 2: I was like, I'm pretty sure there is one of 563 00:33:54,320 --> 00:33:56,040 Speaker 2: the cute ones, and it is one of the cute ones. 564 00:33:56,080 --> 00:33:57,040 Speaker 1: It's one of the cute ones. 565 00:33:57,680 --> 00:33:59,200 Speaker 2: It's I forgot how cute. 566 00:33:59,680 --> 00:34:03,240 Speaker 1: Yeah, they're they're dark gray with orange eyes. They have 567 00:34:03,320 --> 00:34:10,000 Speaker 1: this sort of like diamond shaped raccoon like face, long whiskers, 568 00:34:10,160 --> 00:34:15,000 Speaker 1: rounded ears. They have this really thick, bushy, prehensile tail, 569 00:34:16,360 --> 00:34:19,040 Speaker 1: and they're somewhat like stout and hefty, so they're not 570 00:34:19,120 --> 00:34:23,319 Speaker 1: like long and noodlely. They're like they're solid bear like, 571 00:34:23,400 --> 00:34:26,919 Speaker 1: but not as big as a typical bear. They weigh 572 00:34:27,040 --> 00:34:29,920 Speaker 1: around forty to fifty pounds, which is about eighteen to 573 00:34:29,920 --> 00:34:33,200 Speaker 1: twenty two kilograms, with a body length of around thirty 574 00:34:33,239 --> 00:34:37,000 Speaker 1: inches or eighty centimeters, and a tail of up to 575 00:34:37,320 --> 00:34:40,040 Speaker 1: thirty five inches or seventy centimeters, so they have quite 576 00:34:40,080 --> 00:34:42,080 Speaker 1: like their tail is about as long as their bodies. 577 00:34:43,400 --> 00:34:45,880 Speaker 2: Yeah. I love when you use the word scrungly because 578 00:34:45,920 --> 00:34:49,080 Speaker 2: they are it's like a scrungly dark red panda. Yeah, 579 00:34:49,080 --> 00:34:51,120 Speaker 2: it's a really cute animal. It's really great and they's 580 00:34:51,200 --> 00:34:51,800 Speaker 2: very cute. 581 00:34:52,239 --> 00:34:54,399 Speaker 1: They look like to me what I would think a 582 00:34:54,440 --> 00:34:56,319 Speaker 1: realistic lorax would look like. 583 00:34:57,800 --> 00:35:01,400 Speaker 2: Yeah, yeah, right, black and yes, yeah. 584 00:35:01,480 --> 00:35:05,080 Speaker 1: Like a little scrungly guardian of the forest. They're active 585 00:35:05,320 --> 00:35:08,000 Speaker 1: during both the day and the night. They just take 586 00:35:08,040 --> 00:35:14,640 Speaker 1: a lot of naps, which man I relate. I feel 587 00:35:14,640 --> 00:35:15,400 Speaker 1: like this isn't. 588 00:35:15,200 --> 00:35:18,359 Speaker 2: So they're like newborn baby or me. Cool. Yeah, cool. 589 00:35:18,840 --> 00:35:23,120 Speaker 1: I feel like this is probably what I naturally would 590 00:35:23,120 --> 00:35:25,960 Speaker 1: do if if I didn't have to exist in society, 591 00:35:26,120 --> 00:35:28,440 Speaker 1: like active at day at night, but just a lot 592 00:35:28,440 --> 00:35:33,319 Speaker 1: of naps happening. They're omnivores, so they eat fruits, but 593 00:35:33,360 --> 00:35:37,640 Speaker 1: they also prey on insects, small mammals and birds when 594 00:35:37,640 --> 00:35:41,719 Speaker 1: they can get them. So you know, they're they're they're 595 00:35:44,400 --> 00:35:49,960 Speaker 1: that's just those are just those are just a flying nuggets. 596 00:35:50,040 --> 00:35:54,920 Speaker 1: So uh, onto their pea. It smells like popcorn and 597 00:35:54,960 --> 00:35:57,640 Speaker 1: there's no way around it. It's just this isn't this 598 00:35:57,719 --> 00:36:02,239 Speaker 1: is a famous uh sort of comparison. There is in 599 00:36:02,239 --> 00:36:05,200 Speaker 1: fact a study on this particular phenomenon published in the 600 00:36:05,280 --> 00:36:09,520 Speaker 1: Science of Nature by Duke University ecologist Lydia Green at All, 601 00:36:09,560 --> 00:36:14,920 Speaker 1: which is called Reproductive Indocrine Patterns and Volatile Urinary Compounds 602 00:36:14,960 --> 00:36:19,640 Speaker 1: of Arcticus binter Wrong Discovering why bear cats smell like popcorn? 603 00:36:21,640 --> 00:36:26,400 Speaker 2: Cool? Yeah, yeah, I mean we both love popcorn. We 604 00:36:26,440 --> 00:36:30,120 Speaker 2: talked about that on Yeah, and it's very tempting. I 605 00:36:30,120 --> 00:36:32,320 Speaker 2: don't know, like, if I smell popcorn, I have to 606 00:36:32,360 --> 00:36:34,600 Speaker 2: go home and have popcorn or have it at the theater. 607 00:36:34,680 --> 00:36:37,360 Speaker 2: I walked past. There's a theater kind of down our street. 608 00:36:37,400 --> 00:36:38,239 Speaker 2: It's it's trouble for. 609 00:36:38,200 --> 00:36:42,080 Speaker 1: Me that smell the theater popcorn smell. I know. It's like, 610 00:36:42,160 --> 00:36:44,440 Speaker 1: I know, like that butter is not like actual butter. 611 00:36:44,480 --> 00:36:47,719 Speaker 1: It's some kind of strange corn amalgam. But man, do 612 00:36:47,800 --> 00:36:48,279 Speaker 1: I want to. 613 00:36:49,440 --> 00:36:51,160 Speaker 2: Yeah, whichever your lab scientist made it is. 614 00:36:51,239 --> 00:36:53,120 Speaker 1: Yeah, it's like powerful. It's like some kind of like 615 00:36:53,200 --> 00:36:58,120 Speaker 1: sunflower seed oil thing concoction made in a lab, and 616 00:36:58,200 --> 00:36:59,200 Speaker 1: I can't get enough of it. 617 00:37:00,440 --> 00:37:03,120 Speaker 2: Yeah, I've evolved to mostly subsist on it. I don't 618 00:37:03,120 --> 00:37:04,240 Speaker 2: really get a lot of other stuff. 619 00:37:05,920 --> 00:37:09,640 Speaker 1: So the researchers found that bear cat peek contains two 620 00:37:09,680 --> 00:37:15,160 Speaker 1: aceetyl one pyroline to a p which they believe quote 621 00:37:15,400 --> 00:37:19,920 Speaker 1: is likely to be responsible for the bentong's characteristic popcorn aroma. 622 00:37:21,320 --> 00:37:26,160 Speaker 1: So okay, Essentially, what happens is the bentrong peeps, but 623 00:37:26,640 --> 00:37:30,720 Speaker 1: they're scrungly, right, they're really fluffy, Their tails are super fluffy. 624 00:37:30,760 --> 00:37:33,960 Speaker 1: What happens is some of that peepee gets soaked into 625 00:37:34,000 --> 00:37:37,160 Speaker 1: their fur. If you have a fluffy dog, you know, 626 00:37:37,239 --> 00:37:40,800 Speaker 1: this is a problem sometimes where or a real fluffy cat, 627 00:37:41,160 --> 00:37:43,600 Speaker 1: you know, sometimes that ppe goes where it's not supposed 628 00:37:43,640 --> 00:37:45,880 Speaker 1: to go, which is either in the litter box or 629 00:37:45,960 --> 00:37:49,800 Speaker 1: on the ground. But for the bentterong, this is a feature, 630 00:37:49,880 --> 00:37:52,759 Speaker 1: not a bug, and so some of it sticks to 631 00:37:52,800 --> 00:37:56,000 Speaker 1: their tail fur and it gives them that popcorn aroma. 632 00:37:56,480 --> 00:38:00,399 Speaker 1: And the theory about why why do they they smell 633 00:38:00,520 --> 00:38:04,439 Speaker 1: so good and delicious through their disgusting peepee is that 634 00:38:06,000 --> 00:38:11,360 Speaker 1: it is a sexual signal of reproductive readiness, because like, 635 00:38:11,400 --> 00:38:14,560 Speaker 1: the males have a higher concentration. So the idea is 636 00:38:14,560 --> 00:38:17,600 Speaker 1: it's like some sort of like reproductive signal for the females. 637 00:38:18,000 --> 00:38:21,200 Speaker 1: It's like, hey, look, you know, but they're not sure 638 00:38:21,200 --> 00:38:24,560 Speaker 1: we're not exactly sure why they have this odor, but 639 00:38:25,000 --> 00:38:29,760 Speaker 1: given whenever there's like a difference between the sexes, that's 640 00:38:29,800 --> 00:38:33,440 Speaker 1: a hint that it could be something to do with reproduction, 641 00:38:33,719 --> 00:38:38,279 Speaker 1: with like competition or trying to attract a mate. That's 642 00:38:38,400 --> 00:38:42,600 Speaker 1: it's not necessarily the case. There can be sexual dimorphism 643 00:38:42,680 --> 00:38:47,200 Speaker 1: that is not necessarily related to sexual reproduction. But so 644 00:38:47,400 --> 00:38:50,560 Speaker 1: often is that the case that it's a good guess. 645 00:38:52,440 --> 00:38:54,920 Speaker 2: It's almost more fun if it's not for anything sexual. 646 00:38:54,960 --> 00:38:56,759 Speaker 2: It's just for love of the game. When it comes 647 00:38:56,760 --> 00:38:58,680 Speaker 2: to pcorn, you know, just. 648 00:38:58,640 --> 00:39:02,960 Speaker 1: Like so they can get into movie theaters and have 649 00:39:03,120 --> 00:39:09,680 Speaker 1: sort of fanks just blow past that counter, yea aroma camouflage. 650 00:39:09,719 --> 00:39:12,279 Speaker 1: They wear little popcorn suits and they sneak in so 651 00:39:12,320 --> 00:39:14,160 Speaker 1: they can watch our movies. 652 00:39:16,960 --> 00:39:20,000 Speaker 2: Right. That one nineteen year old in the Simpsons with 653 00:39:20,040 --> 00:39:23,840 Speaker 2: the primitively ready voice is like, he's probably staff just 654 00:39:23,880 --> 00:39:24,400 Speaker 2: lets him in. 655 00:39:24,760 --> 00:39:34,480 Speaker 1: Yeah, So researchers are really on the case about why 656 00:39:34,840 --> 00:39:39,440 Speaker 1: do these cute little animals smell like delicious popcorn? It's 657 00:39:39,480 --> 00:39:42,920 Speaker 1: their pea, And no, I don't think it tastes like 658 00:39:43,000 --> 00:39:44,319 Speaker 1: it smells, so don't try it. 659 00:39:45,680 --> 00:39:48,759 Speaker 2: Yeah, And I guess a lot of it there's no 660 00:39:48,800 --> 00:39:50,840 Speaker 2: way to know this. A lot of animals probably like 661 00:39:50,920 --> 00:39:54,719 Speaker 2: corn is what I'm imagining. So it's probably exciting to 662 00:39:54,800 --> 00:39:58,000 Speaker 2: the bent rupt right, Like it's probably romantic to them 663 00:39:58,000 --> 00:39:59,880 Speaker 2: in a way, it's not to us. I've always just 664 00:39:59,880 --> 00:40:00,480 Speaker 2: a exciting. 665 00:40:00,840 --> 00:40:03,120 Speaker 1: I've always said that corn is romantic. 666 00:40:07,000 --> 00:40:10,200 Speaker 2: It's the most sensual of the Midwestern grains, for sure. 667 00:40:12,840 --> 00:40:16,240 Speaker 2: So I bean's all business corn. Yeah, we're getting down. 668 00:40:16,200 --> 00:40:26,680 Speaker 1: Exactly all right. So before yeah, print that out, have 669 00:40:26,800 --> 00:40:33,440 Speaker 1: your name forever tied to that sounds good to me. Ah, 670 00:40:33,520 --> 00:40:35,399 Speaker 1: before we go, I would like to play a little 671 00:40:35,400 --> 00:40:38,560 Speaker 1: game called Guess Who's squawking? The mystery animal sound game 672 00:40:39,360 --> 00:40:44,360 Speaker 1: game every week by you're squawking' it's it's Alex Schmidt's. 673 00:40:46,120 --> 00:40:49,200 Speaker 1: Last week's mister Annilsund was this. I don't mean to 674 00:40:49,200 --> 00:40:50,640 Speaker 1: bring religion. 675 00:40:50,320 --> 00:41:05,960 Speaker 3: Into this, and let me play it for you, all. 676 00:41:03,120 --> 00:41:03,760 Speaker 2: Right, Alex? 677 00:41:04,200 --> 00:41:08,240 Speaker 1: Beautiful, isn't it? 678 00:41:08,719 --> 00:41:10,000 Speaker 2: Really didn't expect that sound? 679 00:41:12,920 --> 00:41:14,080 Speaker 1: Yeah, I ignore that. 680 00:41:14,239 --> 00:41:16,080 Speaker 2: You said you don't want to bring religion into. 681 00:41:15,880 --> 00:41:19,640 Speaker 1: It, said, I don't want to bring religion into it? 682 00:41:19,680 --> 00:41:23,000 Speaker 2: Is it? Is it? Easter bunny stuff, Easter bunny stuff. 683 00:41:23,040 --> 00:41:26,759 Speaker 1: It's a good GISs, very good guess I know. 684 00:41:27,800 --> 00:41:30,080 Speaker 2: It's the passover wound bat. 685 00:41:32,600 --> 00:41:37,279 Speaker 1: It's the Australian easter bilby. No, I'm kidding. Sorry, it 686 00:41:37,440 --> 00:41:42,319 Speaker 1: sounded really exist. I know it does exist. The Australian 687 00:41:42,480 --> 00:41:48,400 Speaker 1: easter bimby does exist. Sorry, not bimby bilby. Uh. It 688 00:41:48,520 --> 00:41:52,600 Speaker 1: is a sort of rabbit like looking marsupial animal. The 689 00:41:52,680 --> 00:41:56,880 Speaker 1: rabbits are invasive, so in Australia they have a campaign 690 00:41:56,960 --> 00:41:59,360 Speaker 1: to turn the bilby. I don't know. I don't know 691 00:41:59,360 --> 00:42:01,640 Speaker 1: what a bimbi is. That that's just a made up word. 692 00:42:01,880 --> 00:42:04,640 Speaker 1: But they want to turn the bill be into sort 693 00:42:04,680 --> 00:42:07,319 Speaker 1: of Australia's version of the easter bunny, because the bill 694 00:42:07,400 --> 00:42:13,239 Speaker 1: b is actually endemic to Australia, whereas the rabbit is invasive. 695 00:42:14,120 --> 00:42:17,799 Speaker 1: But this is none of that. So this this sound. 696 00:42:17,800 --> 00:42:21,920 Speaker 2: Boobies also look like that marsupial and dune that they 697 00:42:22,280 --> 00:42:24,640 Speaker 2: call polytrdes too, So that's fun. 698 00:42:25,600 --> 00:42:31,719 Speaker 1: Yes, I understand that very well. Yes I've seen no 699 00:42:32,000 --> 00:42:34,400 Speaker 1: so this sound. The one that sounds like an Internet 700 00:42:34,400 --> 00:42:39,880 Speaker 1: dial up is the capuchin bird, named after capuchin monks 701 00:42:40,360 --> 00:42:43,600 Speaker 1: because it has a bald head. It is a tropical 702 00:42:43,600 --> 00:42:46,520 Speaker 1: bird found in South America. You might think it's this 703 00:42:46,640 --> 00:42:52,640 Speaker 1: beautiful bird with glorious colors. It's it's not so it 704 00:42:52,719 --> 00:42:58,280 Speaker 1: has a bald head like a vulture. It's got this brown, fluffy, down, 705 00:42:58,480 --> 00:43:04,239 Speaker 1: feathery coat. They look very strange, very ugly, but their 706 00:43:04,239 --> 00:43:10,920 Speaker 1: call is apparently quite attractive to their their counterparts, female counterparts. 707 00:43:11,440 --> 00:43:14,399 Speaker 2: It's so weird. They're like very feathered and a really 708 00:43:14,480 --> 00:43:16,919 Speaker 2: lovely orange color, a lot of it. But then their 709 00:43:17,040 --> 00:43:21,560 Speaker 2: head specifically looks like that plague mask guy. Yes, so 710 00:43:21,960 --> 00:43:23,680 Speaker 2: like it's really pretty until the head. 711 00:43:24,000 --> 00:43:28,280 Speaker 1: Yeah, it's like, oh oh okay, yeah, that's so stark. 712 00:43:29,200 --> 00:43:36,400 Speaker 1: Yeah yep. Well yeah, that's. 713 00:43:35,239 --> 00:43:38,160 Speaker 2: The good monastic pull. There's a lot of monks. That's 714 00:43:38,160 --> 00:43:39,440 Speaker 2: a fun one. 715 00:43:40,080 --> 00:43:45,360 Speaker 1: All right, So onto this week's mister Animals sound. The 716 00:43:45,440 --> 00:43:50,080 Speaker 1: hint is this, this little rock dweller is just saying hi, 717 00:43:55,400 --> 00:43:56,800 Speaker 1: all right, you got any guesses? 718 00:43:58,960 --> 00:44:04,320 Speaker 2: That was even better than the that's what Rocketoiler's saying. Hi. 719 00:44:04,840 --> 00:44:08,520 Speaker 2: One of like, besides Bison, one of my favorite animals 720 00:44:08,600 --> 00:44:11,680 Speaker 2: is elephants, and I feel like I period that fact 721 00:44:11,719 --> 00:44:14,200 Speaker 2: that they really had a one time. 722 00:44:14,080 --> 00:44:14,399 Speaker 3: And some. 723 00:44:16,000 --> 00:44:20,920 Speaker 1: Alex you are so smart. That is absolutely correct. In 724 00:44:21,000 --> 00:44:23,120 Speaker 1: order to make it fair to the listeners, one of 725 00:44:23,120 --> 00:44:26,800 Speaker 1: the game no, because I have technology. This is pre recorded, 726 00:44:27,000 --> 00:44:30,400 Speaker 1: so I will bleep out just the part where you 727 00:44:30,480 --> 00:44:33,080 Speaker 1: say the name of the animal. But Alex gave you 728 00:44:33,360 --> 00:44:35,600 Speaker 1: a free hint there, which is that it is the 729 00:44:35,640 --> 00:44:41,280 Speaker 1: latest two Elephants. So there you go. Uh, fantastic job, Alex. 730 00:44:41,440 --> 00:44:43,960 Speaker 1: I am super compressed. Thank you, amazing. 731 00:44:43,960 --> 00:44:47,239 Speaker 2: And they had my childhood zoo the actual answer, So 732 00:44:47,680 --> 00:44:49,520 Speaker 2: that's the other fantastic. 733 00:44:50,040 --> 00:44:52,600 Speaker 1: But don't worry. Everyone will know, everyone will know you're right, 734 00:44:53,400 --> 00:44:56,000 Speaker 1: and you will be sent this. You'll be sent this 735 00:44:56,040 --> 00:44:59,400 Speaker 1: week's UH prize, which is a box full of rocks. 736 00:45:03,120 --> 00:45:04,760 Speaker 2: Oh but I wanted the special pee. 737 00:45:07,080 --> 00:45:11,680 Speaker 1: And a vial of bin wrong key to pour on 738 00:45:11,760 --> 00:45:16,280 Speaker 1: your popcorn. Oh God, that I mean, I mean myself 739 00:45:16,360 --> 00:45:19,880 Speaker 1: grossed out. I grossed myself out, Alex. 740 00:45:20,000 --> 00:45:22,880 Speaker 2: I have I have received popcorn through the mail, so 741 00:45:22,920 --> 00:45:24,719 Speaker 2: I would if you sent me that, I would think 742 00:45:24,760 --> 00:45:27,800 Speaker 2: it's one of those like carrots tubs or the nuts 743 00:45:27,800 --> 00:45:29,520 Speaker 2: on Clark in Chicago or whatever. 744 00:45:29,719 --> 00:45:35,160 Speaker 1: Yeah, please don't, please don't send Alex pee covered bear 745 00:45:35,239 --> 00:45:38,399 Speaker 1: cat pee covered popcorn. That would be very bad. Yeah yeah, 746 00:45:39,760 --> 00:45:42,040 Speaker 1: although yeah. 747 00:45:42,200 --> 00:45:44,160 Speaker 2: I'm sure it's against the rules. I don't know the rules, 748 00:45:44,160 --> 00:45:46,160 Speaker 2: but I'm as it's. 749 00:45:46,080 --> 00:45:48,399 Speaker 1: Against the rules that I just made right now, which 750 00:45:48,480 --> 00:45:53,359 Speaker 1: is don't send Alex bearcat pee on popcorn. Alex, thank 751 00:45:53,400 --> 00:45:55,760 Speaker 1: you so much for joining me today. Where can people 752 00:45:55,840 --> 00:45:59,480 Speaker 1: find you? What kind of projects? What kinds of projects 753 00:45:59,480 --> 00:46:02,000 Speaker 1: do you do with I don't really, I'm not, I'm not. 754 00:46:02,200 --> 00:46:04,319 Speaker 1: I'm sorry. I invited you on and I'm not really 755 00:46:04,360 --> 00:46:06,279 Speaker 1: familiar with your body of work. So if he could 756 00:46:06,280 --> 00:46:09,080 Speaker 1: do it to all the people? What what? What? What? 757 00:46:09,080 --> 00:46:09,719 Speaker 1: What do you do? 758 00:46:12,320 --> 00:46:18,879 Speaker 2: Just the funniest, increasingly bisified face. That's great. Yeah, I'm 759 00:46:18,920 --> 00:46:21,120 Speaker 2: so glad your co hosts SIF with me because it 760 00:46:21,160 --> 00:46:22,360 Speaker 2: makes the show great. 761 00:46:22,600 --> 00:46:24,359 Speaker 1: Really incredibly fascinating. 762 00:46:24,600 --> 00:46:27,279 Speaker 2: Yeah, secretly incredibly fascinating. So I hope people check it out. 763 00:46:27,320 --> 00:46:30,960 Speaker 2: And I assume a lot of listeners here know it already. 764 00:46:31,000 --> 00:46:32,320 Speaker 1: If they don't, it's a secret. 765 00:46:32,440 --> 00:46:33,320 Speaker 2: This show is amazing. 766 00:46:33,880 --> 00:46:36,760 Speaker 1: Yeah, I'm winking, and this is the sound my wink mace. 767 00:46:40,480 --> 00:46:42,960 Speaker 2: Dis place in the uh yeah, what's it called? The 768 00:46:43,400 --> 00:46:45,160 Speaker 2: balls bird? Capuchin bird? There we go. 769 00:46:47,400 --> 00:46:49,799 Speaker 1: Now, Alex does a fantastic job on that show. He 770 00:46:49,840 --> 00:46:52,719 Speaker 1: does all the research, teaches me things every week. I 771 00:46:52,800 --> 00:46:55,759 Speaker 1: never like I always have something to talk about at 772 00:46:55,880 --> 00:47:00,200 Speaker 1: awkward parties. Which has saved my life. My social life 773 00:47:00,280 --> 00:47:02,359 Speaker 1: is saved because of Alex. Like I can be at 774 00:47:02,360 --> 00:47:04,640 Speaker 1: a party I don't know what to talk about, and 775 00:47:04,719 --> 00:47:07,360 Speaker 1: because he teaches me all these incredible facts about things 776 00:47:07,719 --> 00:47:09,640 Speaker 1: I can be like, h do you know that w 777 00:47:09,800 --> 00:47:12,560 Speaker 1: D forty has a secret recipe that's in San Diego, 778 00:47:12,800 --> 00:47:17,120 Speaker 1: which is where I was born? And everyone loves me 779 00:47:17,239 --> 00:47:19,240 Speaker 1: now I'm I'm the bell. 780 00:47:19,120 --> 00:47:23,480 Speaker 2: Of the ball and I get that from mostly listening 781 00:47:23,480 --> 00:47:25,400 Speaker 2: to this show sometimes casting. So it's cool that we 782 00:47:25,440 --> 00:47:32,120 Speaker 2: both get to do that, preaches, So please do. 783 00:47:32,200 --> 00:47:35,680 Speaker 1: Check that out secretly incredibly fascinating. I am on there 784 00:47:35,760 --> 00:47:38,640 Speaker 1: every week with Alex and guys, thank you so much 785 00:47:38,640 --> 00:47:40,879 Speaker 1: for listening. If you're enjoying the show and you leave 786 00:47:40,920 --> 00:47:43,960 Speaker 1: a rati or review, it really helps me and encourages me. 787 00:47:45,040 --> 00:47:48,040 Speaker 1: It keeps me going in the way that whalu'reine keeps 788 00:47:48,239 --> 00:47:52,120 Speaker 1: tropical regions of the ocean going. And thanks to the 789 00:47:52,160 --> 00:47:55,760 Speaker 1: Space Cossics for their super awesome song. Ex Alumina. Creature 790 00:47:55,800 --> 00:47:59,040 Speaker 1: features the production of iHeartRadio. For more podcasts like the 791 00:47:59,080 --> 00:48:01,120 Speaker 1: one you just heard, visit the iHeart Radio ap Apple 792 00:48:01,120 --> 00:48:05,200 Speaker 1: of Gold, cast a right here or rah I'm leaving 793 00:48:05,200 --> 00:48:08,960 Speaker 1: that take in, dammit. Listen to the iHeartRadio app, Apple podcasts, 794 00:48:09,040 --> 00:48:11,960 Speaker 1: or hey, guess what, wherever you listen to your favorite shows. 795 00:48:12,440 --> 00:48:16,319 Speaker 1: See you next Wednesday.