1 00:00:06,800 --> 00:00:10,400 Speaker 1: Welcome to Creature feature production of iHeartRadio. I'm your host 2 00:00:10,480 --> 00:00:15,520 Speaker 1: of Many Parasites, Katie Golden. I studied psychology and evolutionary biology, 3 00:00:15,520 --> 00:00:18,240 Speaker 1: and today on the show, we're talking about animals who 4 00:00:18,360 --> 00:00:21,159 Speaker 1: ride on top of other animals, like a poodle on 5 00:00:21,200 --> 00:00:24,560 Speaker 1: a horse at a rodeo, except you know, not messed up. 6 00:00:25,000 --> 00:00:28,840 Speaker 1: Let's explore the exploits of octopuses, the tiniest and the 7 00:00:28,960 --> 00:00:32,760 Speaker 1: largest passengers, and we'll answer the age old question. Are 8 00:00:32,840 --> 00:00:37,559 Speaker 1: oxpeckers jerks joining me Today's comedian, writer and journalist who 9 00:00:37,560 --> 00:00:40,000 Speaker 1: has done work for some More News as well as 10 00:00:40,080 --> 00:00:44,960 Speaker 1: teen Vogue, Ella Yeerman. Welcome, Hi Katie, Hey, it's good 11 00:00:45,000 --> 00:00:45,559 Speaker 1: to see you. 12 00:00:46,320 --> 00:00:47,159 Speaker 2: Thanks for having me. 13 00:00:47,600 --> 00:00:52,000 Speaker 1: Of course, I'm super excited. I the whole reason I 14 00:00:52,000 --> 00:00:55,040 Speaker 1: picked this topic was I saw a very serious article 15 00:00:55,160 --> 00:00:57,600 Speaker 1: in the New York Times about an octopus writing a 16 00:00:57,640 --> 00:01:03,360 Speaker 1: shark like a pony, and you know, I it was. 17 00:01:03,480 --> 00:01:06,160 Speaker 1: It's just one of those beautiful moments where our world 18 00:01:06,280 --> 00:01:09,319 Speaker 1: is still messed up right now, but out there in 19 00:01:09,360 --> 00:01:13,279 Speaker 1: the ocean there's a little orange octopus riding a shark 20 00:01:13,560 --> 00:01:15,400 Speaker 1: and everything's copasetic and wonderful. 21 00:01:16,000 --> 00:01:18,520 Speaker 2: That's really beautiful. Yeah, the octopus doesn't know anything about 22 00:01:18,640 --> 00:01:22,440 Speaker 2: Donald Trump or or anything that's going on in the world. 23 00:01:22,840 --> 00:01:28,520 Speaker 1: Despite being orange, knows nothing about orange. Yeah. So, quote 24 00:01:28,600 --> 00:01:32,800 Speaker 1: unquote researchers otherwise known as perverts were stalking an innocent 25 00:01:32,880 --> 00:01:36,119 Speaker 1: mac o shark off the coast of New Zealand when 26 00:01:36,200 --> 00:01:39,959 Speaker 1: they spotted an orange blobby hat that the shark was wearing. 27 00:01:40,720 --> 00:01:44,160 Speaker 1: It turns out the hat was a Meori octopus. These 28 00:01:44,200 --> 00:01:47,200 Speaker 1: are large octopuses that grow over six feet so that's 29 00:01:47,240 --> 00:01:50,920 Speaker 1: nearly two meters in European and they can weigh almost 30 00:01:50,960 --> 00:01:54,000 Speaker 1: thirty pounds, which is around thirteen to fourteen kilograms. So 31 00:01:54,040 --> 00:01:58,240 Speaker 1: they're not tiny octopodes. That's not that's not what you 32 00:01:58,280 --> 00:02:03,880 Speaker 1: call them. They're not tiny octopus. But I don't know. 33 00:02:04,040 --> 00:02:09,520 Speaker 1: I there's it is. Actually the plural of octopuses is octopuses. 34 00:02:09,560 --> 00:02:12,600 Speaker 2: It's not octopus, not octopy because it's it's Greek and 35 00:02:12,639 --> 00:02:13,120 Speaker 2: not Latin. 36 00:02:13,360 --> 00:02:17,040 Speaker 1: It's something like that. Yeah, yeah, yeah, some like something 37 00:02:17,080 --> 00:02:17,359 Speaker 1: like that. 38 00:02:17,800 --> 00:02:19,920 Speaker 2: I used to I used to know. I used to 39 00:02:19,919 --> 00:02:20,640 Speaker 2: know how that works. 40 00:02:21,680 --> 00:02:24,080 Speaker 1: Yeah I I I do my best to know as 41 00:02:24,160 --> 00:02:27,160 Speaker 1: little about grammar as I possibly can and still function. Sure, 42 00:02:27,480 --> 00:02:30,320 Speaker 1: but yeah, so it is a it is an an 43 00:02:30,320 --> 00:02:34,520 Speaker 1: octopus that seem to be cool with writing on the shark, 44 00:02:34,600 --> 00:02:38,360 Speaker 1: Like neither the shark nor the octopus seemed to be 45 00:02:38,400 --> 00:02:40,920 Speaker 1: in distress, which is interesting, right it was it didn't 46 00:02:40,919 --> 00:02:45,000 Speaker 1: seem like the octopus was like, oh crap, like I 47 00:02:45,080 --> 00:02:47,400 Speaker 1: need to stay very still otherwise this shark is going 48 00:02:47,480 --> 00:02:50,359 Speaker 1: to notice me. In fact, researchers think that the shark 49 00:02:50,600 --> 00:02:53,480 Speaker 1: was probably aware of the octopus, given that it has 50 00:02:53,520 --> 00:02:57,360 Speaker 1: sensory organs along its body that can sense pressure changes 51 00:02:57,400 --> 00:03:01,080 Speaker 1: and vibrations. So it's not like the ark didn't know 52 00:03:01,080 --> 00:03:03,400 Speaker 1: it was there because it can't see it. Also, the 53 00:03:03,440 --> 00:03:07,560 Speaker 1: shark could very easily like knock the octopus off of 54 00:03:07,600 --> 00:03:11,880 Speaker 1: its body just by swimming a little faster. So researchers 55 00:03:11,919 --> 00:03:13,840 Speaker 1: are saying, like it kind of seems like the shark's 56 00:03:13,840 --> 00:03:17,000 Speaker 1: okay with the octopus on it, and the octopus it 57 00:03:17,600 --> 00:03:21,160 Speaker 1: seems to intentionally be like riding on the shark, So 58 00:03:21,200 --> 00:03:24,480 Speaker 1: that that is the observation that was made. 59 00:03:24,720 --> 00:03:28,440 Speaker 2: That's awesome. It's it's like the opposite of the scorpion 60 00:03:28,480 --> 00:03:32,400 Speaker 2: and the toad story, right and sad. But this is 61 00:03:32,440 --> 00:03:34,440 Speaker 2: like if they if the scobeen the toad actually shook 62 00:03:34,480 --> 00:03:36,760 Speaker 2: hands and decided to cross the river right together. 63 00:03:37,280 --> 00:03:40,600 Speaker 1: Right, they crossed the river together. Everything's fine, they shake 64 00:03:40,680 --> 00:03:43,240 Speaker 1: it fine, and then the frog's like, oh crap, wait 65 00:03:43,320 --> 00:03:46,160 Speaker 1: a minute, and the scarp's like, oh dang, dude, why 66 00:03:46,160 --> 00:03:49,200 Speaker 1: did you just shake and it's his tail and you 67 00:03:49,240 --> 00:03:52,040 Speaker 1: know anyways, uh yeah, no, I mean, this is a 68 00:03:52,360 --> 00:03:55,760 Speaker 1: it is it is unusual. It's it's also unusual given 69 00:03:55,840 --> 00:03:59,640 Speaker 1: that these are not like these species don't interact very often. 70 00:03:59,800 --> 00:04:06,000 Speaker 1: So they the maco shark kind of is close usually 71 00:04:06,080 --> 00:04:08,280 Speaker 1: dwells closer to the surface of the water, whereas the 72 00:04:08,320 --> 00:04:12,080 Speaker 1: octopus spends most of its time near the seafloor. So 73 00:04:12,800 --> 00:04:16,080 Speaker 1: they don't they aren't like, they're neither sort of natural 74 00:04:16,200 --> 00:04:21,280 Speaker 1: like predator prey. They're also not natural like buddies. Right. 75 00:04:21,320 --> 00:04:23,279 Speaker 1: They don't. They don't spend a lot of time. It's 76 00:04:23,320 --> 00:04:26,520 Speaker 1: not sort of like a little Mermaid thing where the 77 00:04:26,560 --> 00:04:29,440 Speaker 1: shark's playing the octopus like a guitar or something, right, Like, 78 00:04:29,480 --> 00:04:31,800 Speaker 1: they don't. They don't hang out a lot. So the 79 00:04:31,880 --> 00:04:36,520 Speaker 1: fact that they have this really strange interaction where the 80 00:04:36,520 --> 00:04:39,120 Speaker 1: octopus is just hanging out on them like a surfboard 81 00:04:39,320 --> 00:04:42,880 Speaker 1: is super weird. It's also very weird that we happen 82 00:04:43,000 --> 00:04:46,680 Speaker 1: to see it, because it's really hard to observe stuff 83 00:04:46,680 --> 00:04:49,320 Speaker 1: in the ocean, Like, right, the ocean is so big, 84 00:04:49,600 --> 00:04:53,719 Speaker 1: it's so big, and we can't I mean, it's very wet, 85 00:04:53,800 --> 00:04:57,520 Speaker 1: so we can't be there a lot because we gotta 86 00:04:57,560 --> 00:05:00,160 Speaker 1: breathe and we can't just like hang out in the 87 00:05:00,160 --> 00:05:03,279 Speaker 1: middle of the ocean indefinitely, And so a lot of 88 00:05:04,480 --> 00:05:07,440 Speaker 1: live animal behavior in the ocean is hard to observe. 89 00:05:07,520 --> 00:05:10,560 Speaker 1: Like you'd think we'd know everything about sharks and whales 90 00:05:10,600 --> 00:05:15,320 Speaker 1: because they're so big, but we actually don't, because they 91 00:05:15,320 --> 00:05:19,400 Speaker 1: are so difficult to observe, if you, like, even if 92 00:05:19,440 --> 00:05:21,160 Speaker 1: you put a boat out there, right and have a 93 00:05:21,200 --> 00:05:25,640 Speaker 1: bunch of people sitting on the boat, researchers as these were, right, 94 00:05:25,680 --> 00:05:28,000 Speaker 1: Like these are researchers out on a boat doing research, 95 00:05:28,200 --> 00:05:31,599 Speaker 1: probably not anything related to sharks and octopuses, but they're 96 00:05:31,600 --> 00:05:34,360 Speaker 1: out there and they happen to see some behavior. It's 97 00:05:34,400 --> 00:05:37,320 Speaker 1: just going to be a tiny fraction of the total 98 00:05:37,320 --> 00:05:38,520 Speaker 1: behavior that you see. 99 00:05:38,320 --> 00:05:41,000 Speaker 2: Because, right, maybe this happens all the time, right. 100 00:05:40,920 --> 00:05:43,360 Speaker 1: We don't know, like maybe there's a whole sort of 101 00:05:43,400 --> 00:05:47,480 Speaker 1: a shark octopus uber system that. 102 00:05:47,440 --> 00:05:48,320 Speaker 2: We're unaware I of. 103 00:05:50,600 --> 00:05:50,880 Speaker 1: Uber. 104 00:05:51,400 --> 00:05:53,479 Speaker 2: The octopuses are treating the sharks like an uber, and 105 00:05:53,520 --> 00:05:56,720 Speaker 2: the sharks are treating the octopus as like a new 106 00:05:56,760 --> 00:06:00,080 Speaker 2: fashion trend. Right, it's very hip and cool if you 107 00:06:00,080 --> 00:06:01,360 Speaker 2: have an octopus. 108 00:06:00,880 --> 00:06:05,400 Speaker 1: Hat, it's a it's sort of a symbiosis of the 109 00:06:05,480 --> 00:06:13,000 Speaker 1: octopus getting transportation and the shark getting sort of high fashion, 110 00:06:13,640 --> 00:06:15,359 Speaker 1: high fashion, high frashion. 111 00:06:15,480 --> 00:06:22,960 Speaker 2: Yeah, only the most popular sharks to wear octopus are right, exactly. Well, 112 00:06:23,000 --> 00:06:25,360 Speaker 2: it's funny that makes sense that you say, like it's 113 00:06:25,400 --> 00:06:27,080 Speaker 2: really rare that we see stuff in the ocean, because 114 00:06:27,080 --> 00:06:30,240 Speaker 2: I was I'm like scrolling through this relatively short New 115 00:06:30,279 --> 00:06:32,719 Speaker 2: York Times article and it does sort of feel like 116 00:06:32,760 --> 00:06:35,840 Speaker 2: the whole article is like, isn't this cool that this happened? 117 00:06:35,839 --> 00:06:37,680 Speaker 2: And I was thinking, like, it's funny that this even 118 00:06:37,960 --> 00:06:42,520 Speaker 2: qualifies as New York Times worthy news. 119 00:06:42,000 --> 00:06:46,600 Speaker 1: They are desperate to find something that'll make anyone smile. 120 00:06:47,200 --> 00:06:52,159 Speaker 2: Sure, right, like, look a cool octopus octopus on a shark. 121 00:06:52,200 --> 00:06:56,520 Speaker 1: Guys, everyone calmed down, all the markets, all the markets 122 00:06:56,560 --> 00:06:58,839 Speaker 1: need to calm down. We're all gonna be okay. There's 123 00:06:58,880 --> 00:07:00,240 Speaker 1: an octopus writing a shark. 124 00:07:00,920 --> 00:07:03,480 Speaker 2: Maybe this is why, Maybe this is why the tariffs 125 00:07:03,520 --> 00:07:06,000 Speaker 2: are Oh no, the timeline doesn't line up. Maybe this 126 00:07:06,040 --> 00:07:07,560 Speaker 2: is why the tariffs went back. 127 00:07:08,040 --> 00:07:11,920 Speaker 1: The dead cat bounces because of the the it's the 128 00:07:11,960 --> 00:07:13,440 Speaker 1: octopus on a shark bounce. 129 00:07:14,040 --> 00:07:14,480 Speaker 2: I don't know. 130 00:07:14,800 --> 00:07:19,360 Speaker 1: I don't know it literally anything about investment, So I 131 00:07:19,400 --> 00:07:22,880 Speaker 1: can't like it's illegal to give advice, But I can't 132 00:07:23,160 --> 00:07:26,480 Speaker 1: do it either because I am good at it and 133 00:07:26,520 --> 00:07:27,520 Speaker 1: no one should listen to me. 134 00:07:27,800 --> 00:07:30,240 Speaker 2: But I can't even quite make jokes about it because 135 00:07:30,240 --> 00:07:32,400 Speaker 2: I I don't know enough of the right words. 136 00:07:33,680 --> 00:07:36,520 Speaker 1: Yeah, I'm like, hah, line goes up, line goes down. 137 00:07:36,960 --> 00:07:41,000 Speaker 1: That's that's funny. It's right funny. 138 00:07:41,000 --> 00:07:43,640 Speaker 2: How That is how I felt when when the game 139 00:07:43,720 --> 00:07:45,640 Speaker 2: stop stuff was happening in the news too, is like 140 00:07:45,720 --> 00:07:48,760 Speaker 2: I'm sure this is really funny if you understand it, 141 00:07:48,880 --> 00:07:49,400 Speaker 2: But I. 142 00:07:49,320 --> 00:07:54,400 Speaker 1: Don't, right, you know, I'm like, yeah, stucks, right, just 143 00:07:54,800 --> 00:07:59,960 Speaker 1: those bulls and those bears. You know, does a bear 144 00:08:00,320 --> 00:08:02,840 Speaker 1: poop in the Woods stock market? I don't. 145 00:08:02,920 --> 00:08:04,680 Speaker 2: I don't know exactly. 146 00:08:04,760 --> 00:08:07,160 Speaker 1: Yeah, I don't even do it, But I do feel 147 00:08:07,160 --> 00:08:09,920 Speaker 1: like this is a good omen like that's you know, 148 00:08:10,200 --> 00:08:12,800 Speaker 1: like it has to be somewhere like if you if 149 00:08:12,800 --> 00:08:16,680 Speaker 1: you go back to Nostradamus and his writings on the 150 00:08:16,720 --> 00:08:19,280 Speaker 1: stock market, Like he must have had something in there 151 00:08:19,360 --> 00:08:26,520 Speaker 1: about it. If an animal of eight legs rides upon, uh, 152 00:08:27,200 --> 00:08:32,920 Speaker 1: the sharp toothed non dolphin of the sea, the stocks 153 00:08:33,720 --> 00:08:36,839 Speaker 1: better will be. I don't know, I'm just I'm just saying, 154 00:08:36,840 --> 00:08:37,839 Speaker 1: maybe it's a good sign. 155 00:08:38,480 --> 00:08:39,760 Speaker 2: I do think the world would be in a better 156 00:08:39,760 --> 00:08:42,720 Speaker 2: place if we went back to making our decisions based 157 00:08:42,760 --> 00:08:45,920 Speaker 2: on like omens and cool things that we saw in 158 00:08:45,920 --> 00:08:49,080 Speaker 2: the world. Like, yeah, hundreds of years ago, if if 159 00:08:49,120 --> 00:08:51,240 Speaker 2: someone had seen this, they would have said this, I 160 00:08:51,280 --> 00:08:53,800 Speaker 2: have to change my entire life, like this is this 161 00:08:53,880 --> 00:08:56,640 Speaker 2: is the gods speaking to me and I I have 162 00:08:56,679 --> 00:08:58,840 Speaker 2: to I have to make a big change. And now 163 00:08:59,400 --> 00:09:00,839 Speaker 2: now we get in your Times article about it, and 164 00:09:00,880 --> 00:09:02,960 Speaker 2: maybe we should go back to basing all of our 165 00:09:03,320 --> 00:09:07,079 Speaker 2: personal and geopolitical decisions on the whims of the animals. 166 00:09:07,280 --> 00:09:10,600 Speaker 1: Agree, like very much. Agree. Like imagine if Alan Green 167 00:09:10,679 --> 00:09:13,040 Speaker 1: Span God rest his soul. Wait, I assume he's dead. 168 00:09:13,080 --> 00:09:17,400 Speaker 1: I don't know actually if he is, but you know, 169 00:09:17,640 --> 00:09:21,640 Speaker 1: just like made prognostications based on like the chirps of 170 00:09:21,720 --> 00:09:24,640 Speaker 1: crickets or something. I feel like we would be a 171 00:09:24,679 --> 00:09:28,200 Speaker 1: lot better off because Honestly, that seems more stable than 172 00:09:28,240 --> 00:09:29,120 Speaker 1: our current situation. 173 00:09:29,960 --> 00:09:32,120 Speaker 2: That dude is ninety nine years old and alive. 174 00:09:32,520 --> 00:09:37,600 Speaker 1: What, well, you know what, it's all those it's all 175 00:09:37,600 --> 00:09:41,560 Speaker 1: that you know math. Math is good for you. 176 00:09:42,760 --> 00:09:47,319 Speaker 2: That's what they say, right. Being a Republican, I think, 177 00:09:47,400 --> 00:09:49,800 Speaker 2: is also good for your life span. It seems those 178 00:09:49,800 --> 00:09:50,960 Speaker 2: guys live forever. 179 00:09:51,360 --> 00:09:54,960 Speaker 1: Yeah, you know, it's a I think it's something to 180 00:09:55,040 --> 00:09:59,200 Speaker 1: do with sort of like when you eat enough McDonald's. 181 00:10:00,080 --> 00:10:04,080 Speaker 1: Not saying only Republicans eat McDonald's, I know libertarians do 182 00:10:04,200 --> 00:10:08,960 Speaker 1: as well, but it's like enough McDonald's that it forms 183 00:10:09,000 --> 00:10:11,200 Speaker 1: like sort of like a protective line, you know, like 184 00:10:11,240 --> 00:10:15,040 Speaker 1: how old pipes like, there's like like kind of a 185 00:10:15,080 --> 00:10:18,840 Speaker 1: weird lead coating, but then it it gets so covered 186 00:10:19,040 --> 00:10:24,400 Speaker 1: in another coating of minerals that the lead actually the problem, 187 00:10:24,679 --> 00:10:28,360 Speaker 1: right exactly. I think it's like that. But with Max. 188 00:10:28,920 --> 00:10:31,040 Speaker 2: The problem with supersized me is that he didn't go 189 00:10:31,120 --> 00:10:33,280 Speaker 2: far enough. If he had just exactly eating McDonald's, it 190 00:10:33,280 --> 00:10:35,319 Speaker 2: would have circled all the way back around to be exactly. 191 00:10:35,640 --> 00:10:37,960 Speaker 1: So that's two things you shouldn't listen to me about 192 00:10:38,040 --> 00:10:46,080 Speaker 1: on this podcast. Finances or eating food. Eating food, habits, 193 00:10:47,640 --> 00:10:52,240 Speaker 1: so ella. The behavior that we've observed in this octopus 194 00:10:52,600 --> 00:10:57,120 Speaker 1: is technically called faesis, which sounds kind of gross, but 195 00:10:57,400 --> 00:11:00,240 Speaker 1: all it means is when one organism attacks which is 196 00:11:00,280 --> 00:11:04,160 Speaker 1: itself to another for travel. So this is a type 197 00:11:04,160 --> 00:11:11,520 Speaker 1: of symbiosis. Usually it is a commensalistic which just means 198 00:11:11,559 --> 00:11:14,439 Speaker 1: that it doesn't hurt the host, but it doesn't help 199 00:11:14,679 --> 00:11:18,040 Speaker 1: the host either. It's just kind of like like with 200 00:11:18,080 --> 00:11:20,400 Speaker 1: this octopus writing this shark. It doesn't seem like the 201 00:11:20,440 --> 00:11:23,120 Speaker 1: octopus is doing the shark any harm, but it might 202 00:11:23,160 --> 00:11:26,680 Speaker 1: not be benefiting the shark in any way unless the 203 00:11:26,720 --> 00:11:31,160 Speaker 1: shark is lonely. We don't know, but yeah, yeah, so 204 00:11:31,320 --> 00:11:37,559 Speaker 1: this is most common among insects. There are many species 205 00:11:37,720 --> 00:11:40,280 Speaker 1: of insects who will do with this. We'll talk about 206 00:11:40,280 --> 00:11:45,560 Speaker 1: that a bit later. But the sort of more famous 207 00:11:45,600 --> 00:11:49,360 Speaker 1: example when it comes to sharks is not octopuses, which 208 00:11:49,520 --> 00:11:51,160 Speaker 1: we don't know if this is a trend. This could 209 00:11:51,200 --> 00:11:56,200 Speaker 1: be just one weird little octopus pervert who is into there. 210 00:11:56,960 --> 00:12:00,800 Speaker 1: We don't know, but we do know about remort also 211 00:12:00,880 --> 00:12:06,239 Speaker 1: knows as also known as suckerfish, who will attach themselves 212 00:12:06,280 --> 00:12:12,160 Speaker 1: to sharks. They also attach themselves to whales, dolphins, even 213 00:12:12,960 --> 00:12:18,960 Speaker 1: sea turtles, so even a raithin like a manta raise 214 00:12:19,920 --> 00:12:23,920 Speaker 1: And there are many different species of ramoras, and those 215 00:12:23,920 --> 00:12:26,360 Speaker 1: are those little kind of like flat looking fish that 216 00:12:26,440 --> 00:12:29,120 Speaker 1: you'll often see kind of like attached to a shark, 217 00:12:30,720 --> 00:12:33,760 Speaker 1: and it's seen as as kind of like interesting thing 218 00:12:33,800 --> 00:12:36,160 Speaker 1: of like, whoa, the shark's really scary and dangerous, but 219 00:12:36,200 --> 00:12:39,520 Speaker 1: here's this little fish that's just like kind of attaching. 220 00:12:39,080 --> 00:12:41,440 Speaker 2: And you're saying they're not doing I always assumed they 221 00:12:41,440 --> 00:12:43,839 Speaker 2: were doing something for the shark. There was a reason 222 00:12:43,880 --> 00:12:46,240 Speaker 2: the sharks were putting up with them. That's right. 223 00:12:46,400 --> 00:12:50,280 Speaker 1: No, it's a really good question actually, because the the 224 00:12:50,320 --> 00:12:55,000 Speaker 1: answer to that is complicated, and the the summer is 225 00:12:56,240 --> 00:13:00,680 Speaker 1: we don't really know exactly what's going on. So there's 226 00:13:00,720 --> 00:13:04,679 Speaker 1: different species of remorras with different preferred hosts, from whales 227 00:13:04,679 --> 00:13:08,000 Speaker 1: to turtles. The first thing is they don't actually suck 228 00:13:08,320 --> 00:13:10,880 Speaker 1: onto the shark with their mouths, like I think that 229 00:13:10,920 --> 00:13:13,880 Speaker 1: there's a there might be a misconception that they're sort 230 00:13:13,880 --> 00:13:17,760 Speaker 1: of like attached by their mouth. They don't suck the 231 00:13:17,760 --> 00:13:20,480 Speaker 1: shark's blood at all or anything like that. It's actually 232 00:13:20,559 --> 00:13:24,080 Speaker 1: there the tops of their heads, so their dorsal fin 233 00:13:24,400 --> 00:13:29,160 Speaker 1: is modified into a sucker shape, and they it's almost 234 00:13:29,200 --> 00:13:31,959 Speaker 1: like if you put like a plunger on top of 235 00:13:32,000 --> 00:13:34,960 Speaker 1: your head, sort of like but inverted, so you could 236 00:13:35,240 --> 00:13:39,120 Speaker 1: sort of hang onto a wall from your head. 237 00:13:40,120 --> 00:13:40,720 Speaker 2: That's awesome. 238 00:13:41,040 --> 00:13:44,200 Speaker 1: Yeah, So that's how they work. So it's like a 239 00:13:44,240 --> 00:13:46,240 Speaker 1: hat with a plunger on it that they can use 240 00:13:46,280 --> 00:13:49,960 Speaker 1: to stick onto a shark and then they just like 241 00:13:50,160 --> 00:13:54,440 Speaker 1: ride on the shark. And the what they're actually doing 242 00:13:54,480 --> 00:13:57,960 Speaker 1: there is up for a little bit of debate. There's 243 00:13:58,000 --> 00:14:04,880 Speaker 1: a few behaviors that researchers have seen. Some speculate that 244 00:14:04,880 --> 00:14:08,520 Speaker 1: they're eating bits of food that are left over from 245 00:14:08,679 --> 00:14:11,600 Speaker 1: the shark feeding. Right, that's a simple enough thing, so 246 00:14:11,760 --> 00:14:13,960 Speaker 1: like they have transportation, but they also get a little 247 00:14:13,960 --> 00:14:17,560 Speaker 1: bit of food. Other observations include them eating shark poop, 248 00:14:17,960 --> 00:14:21,960 Speaker 1: which you know, it happens sometimes animals eat other animals poop. 249 00:14:23,320 --> 00:14:25,960 Speaker 1: We can all be adults about it. But it's not 250 00:14:26,360 --> 00:14:30,000 Speaker 1: like the observations have been consistent enough for that to 251 00:14:30,040 --> 00:14:35,360 Speaker 1: be established as the true meaning of it's about to say, Christmas, 252 00:14:35,400 --> 00:14:39,160 Speaker 1: the true meaning of the remoras attaching themselves to sharks. 253 00:14:39,920 --> 00:14:43,800 Speaker 1: And there's also some theories about how they might be 254 00:14:43,880 --> 00:14:48,840 Speaker 1: able to maybe loosen parasites from their skins. So maybe 255 00:14:48,840 --> 00:14:52,960 Speaker 1: the remra's presence on the shark skin somehow helps reduce 256 00:14:53,040 --> 00:14:56,080 Speaker 1: the amount of parasites on their skin, but that also 257 00:14:56,400 --> 00:15:01,640 Speaker 1: isn't very well known, and there's even theories that the 258 00:15:01,760 --> 00:15:07,800 Speaker 1: remorras might be harmful by reducing the shark's speed. Certainly 259 00:15:08,080 --> 00:15:11,440 Speaker 1: in the case of dolphins, there's an idea that the 260 00:15:11,480 --> 00:15:14,960 Speaker 1: presence of the remras, because dolphins like to travel pretty 261 00:15:15,040 --> 00:15:19,080 Speaker 1: quickly in their pods like that, the remors might be 262 00:15:19,240 --> 00:15:23,320 Speaker 1: introducing a lot of drag to the dolphin and the 263 00:15:23,360 --> 00:15:26,080 Speaker 1: dolphin doesn't like this. And there's even an idea that 264 00:15:26,160 --> 00:15:28,360 Speaker 1: one of the reasons dolphins jump out of the water 265 00:15:28,480 --> 00:15:29,400 Speaker 1: so much is. 266 00:15:29,360 --> 00:15:31,480 Speaker 2: Too to get rid of those those damn fish. 267 00:15:31,680 --> 00:15:34,600 Speaker 1: Yeah, exactly, as well as any other parasites that they 268 00:15:34,680 --> 00:15:37,520 Speaker 1: might have on their bodies. But again, these are all 269 00:15:38,080 --> 00:15:42,920 Speaker 1: kind of speculations. It's not like there's one kind of 270 00:15:44,280 --> 00:15:48,080 Speaker 1: there's not one theory in terms of whether they are 271 00:15:48,280 --> 00:15:51,360 Speaker 1: good or bad for sharks or neutral, right, neutral is 272 00:15:51,400 --> 00:15:55,360 Speaker 1: a totally valid option where it could just be they're 273 00:15:55,400 --> 00:15:57,680 Speaker 1: not hurting the sharks, but they're also not helping the sharks, 274 00:15:57,720 --> 00:16:00,000 Speaker 1: and the sharks are just like, I got other problems, 275 00:16:00,080 --> 00:16:01,640 Speaker 1: so I don't need to spend a lot of time 276 00:16:02,480 --> 00:16:05,320 Speaker 1: trying to remove them. Although there are sharks that sometimes 277 00:16:05,360 --> 00:16:07,720 Speaker 1: will sort of like lunge out of the water, and 278 00:16:07,760 --> 00:16:09,600 Speaker 1: like one of the theories is like maybe they're trying 279 00:16:09,640 --> 00:16:13,320 Speaker 1: to loosen remorras once in a while when there's too 280 00:16:13,360 --> 00:16:17,080 Speaker 1: many of them on there. So, yeah, it's a kind 281 00:16:17,120 --> 00:16:20,920 Speaker 1: of unsatisfying answer because it's a it's a a lot 282 00:16:20,960 --> 00:16:25,880 Speaker 1: of cases where there's a symbiotic relationship between two animals, 283 00:16:25,920 --> 00:16:29,680 Speaker 1: it can actually be really hard to determine at what 284 00:16:29,800 --> 00:16:34,040 Speaker 1: point is this harmful or helpful and is an animal 285 00:16:34,200 --> 00:16:37,280 Speaker 1: tolerating it because they have no other choice, or is 286 00:16:37,440 --> 00:16:41,120 Speaker 1: the the symbiote actually helping them. 287 00:16:41,680 --> 00:16:44,720 Speaker 2: At what point does a symbiote become a parasite or 288 00:16:44,840 --> 00:16:47,840 Speaker 2: is that a sub Are they subcategories of the other? 289 00:16:48,360 --> 00:16:52,360 Speaker 1: Yes, so that's a very very good question. Symbiosis just 290 00:16:52,480 --> 00:16:57,640 Speaker 1: means a long and sustained relationship between two organisms to 291 00:16:57,880 --> 00:17:05,280 Speaker 1: two species, and the uh there. It can be parasitic, mutualistic, 292 00:17:05,480 --> 00:17:10,840 Speaker 1: or commensialistic. Said, well, it's it's but it bears repeating 293 00:17:10,880 --> 00:17:16,320 Speaker 1: because parasites actively harm their host for their own benefit. 294 00:17:17,880 --> 00:17:24,440 Speaker 1: In mutualistic relationships, they both get something, and in commensialistic relationships, 295 00:17:25,119 --> 00:17:28,760 Speaker 1: the symbio, the one that is attaching itself to the 296 00:17:28,760 --> 00:17:31,199 Speaker 1: host or involved with the host, may get something, but 297 00:17:31,240 --> 00:17:34,120 Speaker 1: it's not hurting and it's not helping the host. So 298 00:17:34,200 --> 00:17:38,160 Speaker 1: there's there's three options. But and it would be really 299 00:17:38,280 --> 00:17:41,280 Speaker 1: nice if animals always just fell into one little category 300 00:17:42,160 --> 00:17:45,920 Speaker 1: and made things easier for us, but they don't, and 301 00:17:46,119 --> 00:17:48,600 Speaker 1: it can be really difficult to actually tell the difference 302 00:17:48,640 --> 00:17:52,760 Speaker 1: between like, hey, is this symbiotic relationship parasitic or is 303 00:17:52,760 --> 00:17:56,920 Speaker 1: it mutualistic? It can be genuinely difficult to know what's 304 00:17:56,960 --> 00:17:57,360 Speaker 1: going on. 305 00:17:57,480 --> 00:18:00,840 Speaker 2: Yeah, well, it's interesting that it's seems like so much 306 00:18:00,840 --> 00:18:03,520 Speaker 2: of what we're talking about today is the advantage is 307 00:18:03,560 --> 00:18:06,800 Speaker 2: like migration or like like travel, because I feel like 308 00:18:06,840 --> 00:18:10,040 Speaker 2: we see that a lot in plants, Like plants are 309 00:18:10,040 --> 00:18:12,960 Speaker 2: always using animals to move around, and we don't think 310 00:18:12,960 --> 00:18:16,360 Speaker 2: of that as weird because plants can't really move by themselves, 311 00:18:16,760 --> 00:18:19,280 Speaker 2: So it's it's just interesting to see it in a 312 00:18:19,720 --> 00:18:22,560 Speaker 2: like a fish that can probably it probably can swim 313 00:18:22,720 --> 00:18:25,000 Speaker 2: on its own, but like not nearly as as far 314 00:18:25,040 --> 00:18:25,960 Speaker 2: as this shark. 315 00:18:27,040 --> 00:18:30,600 Speaker 1: Yes, so it's a really that's a really really good observation. 316 00:18:30,680 --> 00:18:35,480 Speaker 1: You're absolutely correct. Actually, plants that attach themselves to animals, 317 00:18:35,480 --> 00:18:38,360 Speaker 1: say like a plant that, let's sit seed burs attached 318 00:18:38,359 --> 00:18:40,040 Speaker 1: to your dog's fur and then it has all these 319 00:18:40,080 --> 00:18:41,240 Speaker 1: little burrs on it. 320 00:18:42,119 --> 00:18:42,720 Speaker 2: All the time. 321 00:18:42,840 --> 00:18:49,119 Speaker 1: Actually, yeah, that is actually an example of paresis where 322 00:18:49,280 --> 00:18:53,640 Speaker 1: it is it is a plant using the animal as 323 00:18:53,680 --> 00:18:56,359 Speaker 1: a type of transportation. So plants can also be in 324 00:18:56,480 --> 00:19:01,440 Speaker 1: parasitic or symbiotic relationships with either animals or other plants, 325 00:19:01,520 --> 00:19:06,399 Speaker 1: and so the use like riding attaching themselves onto a 326 00:19:06,440 --> 00:19:11,280 Speaker 1: dog's coat is an example of symbiosis. Either. I would 327 00:19:11,320 --> 00:19:16,080 Speaker 1: say that's probably example of a commensalistic relationship because I don't. 328 00:19:15,880 --> 00:19:17,760 Speaker 2: Think I'm not sure the dog is getting much out 329 00:19:17,760 --> 00:19:18,080 Speaker 2: of it. 330 00:19:18,080 --> 00:19:19,760 Speaker 1: It's not getting anything out of it, but it's also 331 00:19:19,840 --> 00:19:21,080 Speaker 1: not really hurting the dog. 332 00:19:21,760 --> 00:19:24,439 Speaker 2: Sometimes the birds go in his paws and then it 333 00:19:24,680 --> 00:19:25,320 Speaker 2: hurts him. 334 00:19:25,840 --> 00:19:30,760 Speaker 1: Maybe that then in that case, that plant is being 335 00:19:30,760 --> 00:19:31,760 Speaker 1: a big jerk. 336 00:19:32,680 --> 00:19:35,320 Speaker 2: Yeah, thank you, and thank you for saying that. Not 337 00:19:35,400 --> 00:19:38,160 Speaker 2: on the people have been standing up against against plant 338 00:19:38,200 --> 00:19:39,080 Speaker 2: jerk plant. 339 00:19:39,520 --> 00:19:44,920 Speaker 1: Right, I know, I'm like very compassionate towards h life 340 00:19:44,960 --> 00:19:47,880 Speaker 1: on earth. I'm a huge hippie. When it comes to like, oh, 341 00:19:47,920 --> 00:19:52,160 Speaker 1: a little spider, I will help you outdoors rather than 342 00:19:52,200 --> 00:19:56,040 Speaker 1: crush you beneath my feet. When there's like any kind 343 00:19:56,080 --> 00:19:59,080 Speaker 1: of like parasite on my dog, I turn into like 344 00:19:59,240 --> 00:20:04,800 Speaker 1: Jigsaw from absolutely from uh from Saw Saw, and I'm like, 345 00:20:05,119 --> 00:20:08,680 Speaker 1: you're going into this tube of alcohol and I will 346 00:20:08,680 --> 00:20:11,280 Speaker 1: watch you die. Yeah. 347 00:20:11,600 --> 00:20:14,320 Speaker 2: No, tics that are that attached to my dog or 348 00:20:14,320 --> 00:20:16,560 Speaker 2: to me, to be honest, right, it's I'm gonna I'm 349 00:20:16,560 --> 00:20:19,560 Speaker 2: going to to drown you in in rubbing alcohol. 350 00:20:19,720 --> 00:20:22,800 Speaker 1: I'm way more tolerant of ticks that attach themselves to 351 00:20:22,840 --> 00:20:25,200 Speaker 1: me because I'm like, well, I have a fighting chance 352 00:20:25,240 --> 00:20:27,360 Speaker 1: because I got fingis. 353 00:20:26,800 --> 00:20:29,840 Speaker 2: You got fingers, you got medicine for exactly. 354 00:20:29,480 --> 00:20:32,280 Speaker 1: When they attach themselves to my dog, I'm like, she's 355 00:20:32,480 --> 00:20:34,919 Speaker 1: just a little baby. She's a little baby. 356 00:20:35,000 --> 00:20:36,439 Speaker 2: She doesn't know about tics. 357 00:20:36,600 --> 00:20:39,320 Speaker 1: No, she can't do anything, she doesn't have fingis, and 358 00:20:39,359 --> 00:20:43,240 Speaker 1: she's a little baby. So I get so angry. Anyways, 359 00:20:45,720 --> 00:20:48,960 Speaker 1: your your other your other question about like the remorras, 360 00:20:49,080 --> 00:20:52,480 Speaker 1: why do they attach themselves to sharks? Uh? It really 361 00:20:52,560 --> 00:20:56,879 Speaker 1: is about being able to travel over long distances without 362 00:20:56,920 --> 00:20:58,919 Speaker 1: having to go to the energy. I mean, it's the 363 00:20:58,920 --> 00:21:07,000 Speaker 1: same reason we riding cars or bicycles or not go pros. 364 00:21:07,080 --> 00:21:09,879 Speaker 1: That's not a that's not a vehicle. You know, go carts, 365 00:21:10,040 --> 00:21:15,359 Speaker 1: go carts, that's a vehicle. Yeah, have our scooters whatever 366 00:21:15,400 --> 00:21:19,159 Speaker 1: we've got going on out there these days. So they 367 00:21:19,359 --> 00:21:23,280 Speaker 1: are Actually there's another aspect, which is that it helps 368 00:21:23,320 --> 00:21:29,159 Speaker 1: them breathe. They are ram ventilators. So ram ventilators are 369 00:21:29,200 --> 00:21:34,480 Speaker 1: a type of fish that breathes by moving through the water. 370 00:21:34,920 --> 00:21:37,879 Speaker 1: And as they move through the water, the water enters 371 00:21:37,920 --> 00:21:42,320 Speaker 1: through gill slits, runs over their gills, and then that 372 00:21:42,320 --> 00:21:46,360 Speaker 1: that their gills allow for the transfer of oxygen from 373 00:21:46,359 --> 00:21:52,680 Speaker 1: the water into their bloodstream. They are not obligate ram ventilators. 374 00:21:52,800 --> 00:21:56,320 Speaker 1: It sounds like I'm getting into weird like engineering, but this. 375 00:21:56,240 --> 00:21:58,480 Speaker 2: Is no I'm you know, I'm like, I'm about. 376 00:21:58,200 --> 00:22:01,280 Speaker 1: To sell you an HVAC system for your house. 377 00:22:01,080 --> 00:22:04,680 Speaker 2: But you want an obligate ventilator or do you. 378 00:22:04,680 --> 00:22:08,040 Speaker 1: Want to put I'll put an obligate ram ventilator in 379 00:22:08,080 --> 00:22:12,360 Speaker 1: there for you, ma'am. But you know this is a 380 00:22:12,480 --> 00:22:18,000 Speaker 1: obligate ram ventilators are fish, usually sharks. There's just a 381 00:22:18,040 --> 00:22:20,359 Speaker 1: few species like this where they have to keep moving, 382 00:22:20,359 --> 00:22:23,919 Speaker 1: like this is the only way that they can breathe. 383 00:22:23,960 --> 00:22:26,520 Speaker 1: So that's that's where that sort of myth that sharks 384 00:22:26,560 --> 00:22:30,280 Speaker 1: have to keep moving or they'll die. It's not all sharks. 385 00:22:31,240 --> 00:22:33,560 Speaker 1: A lot of sharks hashtag not a sharks, not all 386 00:22:33,600 --> 00:22:38,439 Speaker 1: sharks hashtag uh. And some of them actually do have 387 00:22:38,520 --> 00:22:42,240 Speaker 1: a different method of breathing, so like they it's the 388 00:22:42,240 --> 00:22:46,360 Speaker 1: same thing as remoras actually, so remoras can do ram ventilation, 389 00:22:46,440 --> 00:22:52,160 Speaker 1: but they can also do essentially active ventilation, so doing 390 00:22:52,200 --> 00:22:57,280 Speaker 1: it manually pumping the water through their gills while remaining. 391 00:22:57,160 --> 00:23:00,000 Speaker 2: Sort of like like breathing, like sort of like breathe. 392 00:23:00,240 --> 00:23:02,560 Speaker 2: They don't have lungs, I assume, but like some mechanism 393 00:23:02,600 --> 00:23:03,680 Speaker 2: to yeah. 394 00:23:03,520 --> 00:23:07,280 Speaker 1: It's pull exactly. It's it's by they basically pumping the 395 00:23:07,320 --> 00:23:11,600 Speaker 1: water over their gills rather than letting it passively flow 396 00:23:11,680 --> 00:23:14,240 Speaker 1: over their gills. And there are a lot of shark 397 00:23:14,280 --> 00:23:16,639 Speaker 1: species that can do this too, where they can they 398 00:23:16,720 --> 00:23:18,840 Speaker 1: can just pump the water over their gills. There are 399 00:23:18,880 --> 00:23:23,040 Speaker 1: a few species that do essentially need to keep moving 400 00:23:23,160 --> 00:23:25,639 Speaker 1: because their obligate ram ventilators. But it's not like they 401 00:23:25,680 --> 00:23:29,040 Speaker 1: will die as soon as they stop moving. That that 402 00:23:29,080 --> 00:23:32,080 Speaker 1: part is a myth, Like that's just a you know. 403 00:23:32,760 --> 00:23:35,080 Speaker 2: I've heard that myth and I never really like thought 404 00:23:35,119 --> 00:23:37,680 Speaker 2: to question it, to be honest, I was just I think, 405 00:23:37,680 --> 00:23:39,399 Speaker 2: I don't even know if I associated with breathing in 406 00:23:39,440 --> 00:23:41,600 Speaker 2: my head. I was like, oh, yeah, shark stops moving, 407 00:23:41,640 --> 00:23:43,320 Speaker 2: they will just sink to the bottom of the ocean 408 00:23:43,359 --> 00:23:45,640 Speaker 2: and not be able to move it, like they won't 409 00:23:45,640 --> 00:23:48,320 Speaker 2: be able to start moving again. Right, it's a momentum thing. 410 00:23:48,800 --> 00:23:51,520 Speaker 1: Yeah, it's like someone set just shoves the shark in 411 00:23:51,600 --> 00:23:54,639 Speaker 1: emotion and it's like, well guess I'm going now, right. 412 00:23:55,080 --> 00:23:58,359 Speaker 1: But yeah, so it's it's actually so breathing underwater is 413 00:23:58,400 --> 00:24:01,879 Speaker 1: a lot harder than breathing outside of water, which sounds 414 00:24:01,880 --> 00:24:04,840 Speaker 1: like I'm being kind of stupid here, but it's it 415 00:24:04,920 --> 00:24:09,680 Speaker 1: is true. So like transferring oxygen from water to your 416 00:24:09,760 --> 00:24:14,919 Speaker 1: lungs is, or for a fish, like transferring water the 417 00:24:15,000 --> 00:24:19,399 Speaker 1: oxygen in the water to their blood stream is really 418 00:24:19,480 --> 00:24:24,200 Speaker 1: hard in sure comparison to breathing air. Like mammals kind 419 00:24:24,200 --> 00:24:26,360 Speaker 1: of have it going on because we can like take 420 00:24:26,359 --> 00:24:29,520 Speaker 1: in a breath get a bunch of oxygen really easily, 421 00:24:30,040 --> 00:24:32,640 Speaker 1: Like breathing is not that big of a deal for us, 422 00:24:32,720 --> 00:24:38,879 Speaker 1: for fish, for sharks, like for other marine animals, like 423 00:24:39,040 --> 00:24:43,400 Speaker 1: transferring oxygen to their blood stream, it takes energy more 424 00:24:43,440 --> 00:24:45,280 Speaker 1: so than us. It's less efficient. That's one of the 425 00:24:45,280 --> 00:24:50,440 Speaker 1: reasons actually whales are so ope in terms of being 426 00:24:50,600 --> 00:24:53,520 Speaker 1: sure ginormous. Is they breathe air. They don't have to 427 00:24:53,560 --> 00:24:56,800 Speaker 1: deal with the transferring of oxygen from water into their lungs. 428 00:24:56,800 --> 00:25:00,760 Speaker 1: They just take a huge breath of air and they 429 00:25:00,920 --> 00:25:06,000 Speaker 1: store it in their massive, massive collection of blood that 430 00:25:06,040 --> 00:25:08,439 Speaker 1: they have, and then they have a bunch of like 431 00:25:08,840 --> 00:25:11,680 Speaker 1: richly oxygenated blood that can last for hours. 432 00:25:11,720 --> 00:25:15,040 Speaker 2: It's wild well, and that's that's why animals used to 433 00:25:15,040 --> 00:25:16,600 Speaker 2: be bigger, right There used to be more oxygen in 434 00:25:16,600 --> 00:25:19,080 Speaker 2: the atmosphere. Is that true or did I make that up? 435 00:25:19,920 --> 00:25:24,959 Speaker 1: It's one factor for why insects may have been bigger 436 00:25:25,200 --> 00:25:28,439 Speaker 1: is that there was more oxygen. There were a lot 437 00:25:28,520 --> 00:25:30,640 Speaker 1: of other factors, though. That makes it a little bit 438 00:25:30,840 --> 00:25:35,200 Speaker 1: difficult to separate it out because for insects, they breathe 439 00:25:35,240 --> 00:25:37,800 Speaker 1: through spiracles, which are these little holes that kind of 440 00:25:37,840 --> 00:25:40,800 Speaker 1: run through their bodies. So having more oxygen in the 441 00:25:40,840 --> 00:25:44,600 Speaker 1: atmosphere definitely makes it easier for them to breathe but 442 00:25:44,720 --> 00:25:47,120 Speaker 1: the other factor was that we didn't have birds around. 443 00:25:47,760 --> 00:25:50,320 Speaker 1: Literally that was it. Like once birds got on the scene, 444 00:25:50,560 --> 00:25:53,280 Speaker 1: it was like, oh damn, Like these giant dragonflies could 445 00:25:53,320 --> 00:25:57,000 Speaker 1: not compete with the birds with the power of birds. 446 00:25:57,080 --> 00:26:00,680 Speaker 1: So birds really messed things up for insects, out competed them, 447 00:26:01,280 --> 00:26:04,639 Speaker 1: kind of took over the niche that the insects were inhabiting. 448 00:26:04,680 --> 00:26:09,359 Speaker 1: But the huge amounts of oxygen definitely helped so for 449 00:26:09,480 --> 00:26:13,800 Speaker 1: these remorras, because getting oxygen from underwater can be kind 450 00:26:13,800 --> 00:26:17,080 Speaker 1: of a drag they know no pun intended physics drag 451 00:26:17,119 --> 00:26:22,480 Speaker 1: with anyways. So like if they are attached to a shark, 452 00:26:23,000 --> 00:26:25,440 Speaker 1: basically the shark is breathing for them by moving through 453 00:26:25,480 --> 00:26:28,560 Speaker 1: the water. The water flows over the remora's gills, and 454 00:26:28,680 --> 00:26:30,959 Speaker 1: the remorra doesn't have to do anything. So they're just 455 00:26:31,080 --> 00:26:34,720 Speaker 1: they got it going on. Someone's breathing for them, someone's 456 00:26:35,200 --> 00:26:39,600 Speaker 1: moving them around. Possibly they're getting food from sort of 457 00:26:39,600 --> 00:26:44,240 Speaker 1: the sharks leavings or from their poop. They they have 458 00:26:44,359 --> 00:26:49,160 Speaker 1: worked out a wonderful system of just passively living on 459 00:26:49,200 --> 00:26:49,639 Speaker 1: a shark. 460 00:26:51,520 --> 00:26:55,760 Speaker 2: That's beautiful. It is, really, I mean, I I that's 461 00:26:55,800 --> 00:26:59,159 Speaker 2: something I sort of aspire to. I think is figuring 462 00:26:59,160 --> 00:27:02,919 Speaker 2: out a system of passively living. Yeah, it's next to 463 00:27:02,960 --> 00:27:04,000 Speaker 2: a larger organism. 464 00:27:04,280 --> 00:27:06,640 Speaker 1: If someone could like breathe for me, if I didn't 465 00:27:06,680 --> 00:27:08,840 Speaker 1: have to think about it, and like, would like just 466 00:27:08,960 --> 00:27:11,680 Speaker 1: move my eyelids to like blink for me as well, 467 00:27:11,720 --> 00:27:13,119 Speaker 1: that would be super right. 468 00:27:13,680 --> 00:27:15,280 Speaker 2: If I could. If I could figure out a weekend 469 00:27:15,320 --> 00:27:18,040 Speaker 2: at Bernie's situation where I could be Bernie, but I 470 00:27:18,080 --> 00:27:21,080 Speaker 2: don't have to, like I can just sort of lie. 471 00:27:20,840 --> 00:27:24,479 Speaker 1: There exactly, you know exactly what I'm talking about, like 472 00:27:24,600 --> 00:27:28,840 Speaker 1: being sort of a living puppet where the puppet teers 473 00:27:28,840 --> 00:27:31,080 Speaker 1: are doing what I want them to do, right. 474 00:27:31,240 --> 00:27:34,840 Speaker 2: Right, but I don't have to think or exert any energy, right. 475 00:27:34,760 --> 00:27:38,440 Speaker 1: Like I'm a kermit, but with a mind of my own, 476 00:27:38,800 --> 00:27:45,600 Speaker 1: and so the puppeteers are sort of doing my bidding right. 477 00:27:45,400 --> 00:27:47,879 Speaker 2: And just I sort of what I'm saying is I 478 00:27:47,880 --> 00:27:49,639 Speaker 2: want to be a Roman emperor and sort of carrying 479 00:27:49,640 --> 00:27:51,080 Speaker 2: around on a palette all. 480 00:27:51,040 --> 00:27:54,679 Speaker 1: Day, right, and then like and then also have people 481 00:27:54,800 --> 00:27:57,680 Speaker 1: move my hands for me while I eat grapes and 482 00:27:57,840 --> 00:28:03,360 Speaker 1: drink wine and stuff. No, exactly, that sounds great. We're 483 00:28:03,359 --> 00:28:06,200 Speaker 1: going to take a quick break because I want to 484 00:28:06,240 --> 00:28:08,080 Speaker 1: eat some grapes, and then if we're to get back, 485 00:28:08,400 --> 00:28:11,400 Speaker 1: we're going to talk about some of the smallest furants 486 00:28:11,600 --> 00:28:15,680 Speaker 1: and largest florants. Which is a great word, super cool 487 00:28:15,720 --> 00:28:20,960 Speaker 1: sounding or furant all right, So just as a reminder 488 00:28:21,040 --> 00:28:25,800 Speaker 1: of furant is an animal or plant or organism that 489 00:28:25,920 --> 00:28:30,479 Speaker 1: engages in horesis, which is the act of using another 490 00:28:30,760 --> 00:28:35,679 Speaker 1: animal or plant as a form of transportation. And it 491 00:28:35,760 --> 00:28:40,480 Speaker 1: happens a lot in insects, particularly in some of the 492 00:28:40,520 --> 00:28:45,520 Speaker 1: smallest insects, which are mites. You've probably seen mites before. 493 00:28:46,080 --> 00:28:50,400 Speaker 1: They're itty bitty little things. They kind of look like 494 00:28:51,240 --> 00:28:54,360 Speaker 1: they're related to and they sort of look like, say, 495 00:28:54,560 --> 00:28:57,640 Speaker 1: a tick, but they're not a tick. But they're just 496 00:28:57,680 --> 00:29:01,320 Speaker 1: like these little tiny little dots and move around and 497 00:29:01,640 --> 00:29:04,360 Speaker 1: there's the I forgot the poem, but it's like something 498 00:29:04,400 --> 00:29:09,800 Speaker 1: like little bugs have littler bugs to bite them. Yeah, 499 00:29:10,080 --> 00:29:11,760 Speaker 1: you know, this is kind of this is kind of 500 00:29:11,800 --> 00:29:16,600 Speaker 1: the thing. Mites will often be on top of other bugs, 501 00:29:16,680 --> 00:29:22,600 Speaker 1: other insects, other arthropods. Mites are a type of arthropod 502 00:29:22,960 --> 00:29:26,360 Speaker 1: and there's many, many, many different species of them, and 503 00:29:26,720 --> 00:29:30,640 Speaker 1: some of them are just straight at parasites. They'll be 504 00:29:30,760 --> 00:29:33,360 Speaker 1: on another insect and kind of be feeding on them. 505 00:29:33,960 --> 00:29:36,520 Speaker 1: But some of them are a little more benign. They 506 00:29:36,760 --> 00:29:40,680 Speaker 1: are just there basically to hang out and have free 507 00:29:40,720 --> 00:29:46,479 Speaker 1: transportation public might transportation. So one example of this is 508 00:29:47,880 --> 00:29:52,920 Speaker 1: a big word coming up, uh po kilo kairis mites, 509 00:29:53,120 --> 00:29:56,640 Speaker 1: pochairis mites. I don't know if that's no one's here 510 00:29:56,680 --> 00:29:58,120 Speaker 1: to fact check me out on that. 511 00:29:58,400 --> 00:30:01,200 Speaker 2: It looks right, and you get it with enough confidence 512 00:30:01,200 --> 00:30:01,880 Speaker 2: that I believe you. 513 00:30:02,320 --> 00:30:06,920 Speaker 1: Yes, the you know, of course, the Pokeylo kiris mites. 514 00:30:06,320 --> 00:30:10,720 Speaker 2: Of course, of course everyone knows about the iris mites exactly. 515 00:30:10,840 --> 00:30:12,480 Speaker 1: Oh you said that, good, I'm impressed. 516 00:30:12,520 --> 00:30:14,239 Speaker 2: I don't Well, you did it three times first, so 517 00:30:14,280 --> 00:30:15,600 Speaker 2: I got to listen. 518 00:30:15,880 --> 00:30:19,160 Speaker 1: Column pea mites from now on. So these are tiny 519 00:30:19,240 --> 00:30:23,160 Speaker 1: orange little dots, less than a millimeter big. They're so 520 00:30:23,360 --> 00:30:25,280 Speaker 1: tiny a bunch of them can fit on the back 521 00:30:25,320 --> 00:30:29,120 Speaker 1: of a beetle. And indeed they do like to ride beetles, 522 00:30:29,240 --> 00:30:32,240 Speaker 1: not you know, the car beetles, but you know the 523 00:30:32,320 --> 00:30:38,960 Speaker 1: actual insect, specifically carrion beetles. So carrying beetles locate and 524 00:30:39,280 --> 00:30:42,960 Speaker 1: burry small dead animals and lay their eggs on them 525 00:30:42,960 --> 00:30:46,520 Speaker 1: so that their larvae can grow with a you know, 526 00:30:46,600 --> 00:30:49,640 Speaker 1: not entirely fresh supply of meat, but a supply of 527 00:30:49,680 --> 00:30:53,640 Speaker 1: meat nonetheless. There this is a beautiful example of parental 528 00:30:53,680 --> 00:30:57,840 Speaker 1: care and insects that is really rare. Like usually insects 529 00:30:57,880 --> 00:30:59,520 Speaker 1: just kind of like, ah, you're an egg on a 530 00:30:59,600 --> 00:31:03,640 Speaker 1: leaf some where, good luck. But carrion beetles take care 531 00:31:03,880 --> 00:31:08,040 Speaker 1: of their larva by providing them with this carefully prepared 532 00:31:08,120 --> 00:31:11,920 Speaker 1: larder of like a dead mouse or a dead vole. 533 00:31:12,720 --> 00:31:17,200 Speaker 1: And mites take advantage of this situation by riding on 534 00:31:17,280 --> 00:31:20,880 Speaker 1: the carrion beetle like a bus that takes them directly 535 00:31:20,960 --> 00:31:26,560 Speaker 1: to dead rodent buffets. So again, just they've really got 536 00:31:26,640 --> 00:31:29,160 Speaker 1: it worked out. Like it's just like a bunch of 537 00:31:29,200 --> 00:31:34,240 Speaker 1: people from the retirement home loading onto the shuttle to 538 00:31:34,320 --> 00:31:37,960 Speaker 1: go to Golden Corral or something, except Golden Corral is 539 00:31:38,000 --> 00:31:38,719 Speaker 1: a dead mouse. 540 00:31:41,800 --> 00:31:46,160 Speaker 2: Do the mites also eat the carrion like the like 541 00:31:46,200 --> 00:31:46,800 Speaker 2: the beatles do? 542 00:31:47,200 --> 00:31:50,440 Speaker 1: Yes, exactly, so they are not there to harm the 543 00:31:50,480 --> 00:31:53,880 Speaker 1: carrion beetles, larva or anything like that. They go and 544 00:31:53,920 --> 00:32:00,400 Speaker 1: they feed on the carrion. So when an an animal, 545 00:32:01,000 --> 00:32:03,320 Speaker 1: this is where it gets kind of complex of like 546 00:32:03,400 --> 00:32:07,640 Speaker 1: are they hurting or helping the beetle. Technically, an animal 547 00:32:07,680 --> 00:32:12,160 Speaker 1: that steals another animal's food is called a klepto parasite. 548 00:32:12,520 --> 00:32:12,960 Speaker 2: So it is. 549 00:32:13,760 --> 00:32:17,520 Speaker 1: Yeah, it's such a good. It's easily applied in so 550 00:32:17,640 --> 00:32:23,680 Speaker 1: many human situationships. I just said situationships. I meant situations, 551 00:32:23,720 --> 00:32:27,000 Speaker 1: but I guess situations situation right either way. 552 00:32:28,080 --> 00:32:32,719 Speaker 2: So in a klepto parasitic situationship. 553 00:32:32,560 --> 00:32:37,000 Speaker 1: Exactly right, it's it's we've all been through it. So, uh. 554 00:32:37,120 --> 00:32:41,560 Speaker 1: The the klepto parasite will steal food from another animal. 555 00:32:41,720 --> 00:32:45,080 Speaker 1: A classic example of seagulls. Those are jerks. They'll like 556 00:32:45,160 --> 00:32:47,760 Speaker 1: steal fish right from another animal. You may have even 557 00:32:47,800 --> 00:32:51,840 Speaker 1: been a victim of a seagulls stealing your chips or 558 00:32:51,880 --> 00:32:54,320 Speaker 1: your sandwich or your hot dog. And they do it 559 00:32:54,360 --> 00:32:57,000 Speaker 1: in the wild too, So they'll like steal fish from 560 00:32:57,080 --> 00:33:02,800 Speaker 1: other seabirds, from other animals. So they are kleptoparasites. So 561 00:33:03,200 --> 00:33:06,360 Speaker 1: you could say that this might could be a kleptoparasite. 562 00:33:06,440 --> 00:33:10,760 Speaker 1: Where it gets kind of tricky is does the presence 563 00:33:10,760 --> 00:33:15,240 Speaker 1: of the might actually reduce the amount of food that 564 00:33:15,280 --> 00:33:19,640 Speaker 1: the carryon larva need. That's not very clear. The other 565 00:33:19,760 --> 00:33:23,920 Speaker 1: problem is that the mites might be able to help 566 00:33:24,320 --> 00:33:29,120 Speaker 1: the larva by protecting the beetle larva from other kinds 567 00:33:29,320 --> 00:33:35,360 Speaker 1: of like microarthropods that might actually be parasites. So by 568 00:33:35,760 --> 00:33:38,320 Speaker 1: kind of being there on the meat and competing with 569 00:33:38,400 --> 00:33:41,400 Speaker 1: any other kind of mites that might want to directly 570 00:33:41,440 --> 00:33:47,200 Speaker 1: feed on the larva. The p mites might be I 571 00:33:47,240 --> 00:33:49,320 Speaker 1: know what I'm saying, mte a lot. I'm saying, might 572 00:33:49,760 --> 00:33:54,840 Speaker 1: like a lot a lot. You know, they could possibly 573 00:33:55,320 --> 00:34:00,440 Speaker 1: could be protecting the beetle larva thesaurus for some other 574 00:34:00,480 --> 00:34:05,520 Speaker 1: word than my So it's not really known if these 575 00:34:05,560 --> 00:34:09,400 Speaker 1: are parasites, if they're a mutualists, or if they're commensalistic. Again, 576 00:34:09,880 --> 00:34:15,080 Speaker 1: these relationships are really hard to definitively determine because you 577 00:34:15,160 --> 00:34:20,280 Speaker 1: have there's so many potential countervailing issues that are happening 578 00:34:20,360 --> 00:34:24,080 Speaker 1: that the say the mites. There's like some studies that 579 00:34:24,280 --> 00:34:27,440 Speaker 1: tried to look at this relationship between carrying beetles and 580 00:34:27,480 --> 00:34:31,120 Speaker 1: the pe mites, and it was kind of a mixed bag. 581 00:34:31,160 --> 00:34:34,600 Speaker 1: On one hand, it seemed like they did disrupt some 582 00:34:34,640 --> 00:34:39,960 Speaker 1: of the presence of maybe more predatory micro arthropods, but 583 00:34:40,400 --> 00:34:43,560 Speaker 1: another aspect was that it didn't seem like they were 584 00:34:43,600 --> 00:34:50,279 Speaker 1: actually increasing the number of larva that would reach adulthoods. 585 00:34:50,280 --> 00:34:53,759 Speaker 1: So it's it's it's still kind of a question mark 586 00:34:54,120 --> 00:34:54,800 Speaker 1: another way. 587 00:34:54,920 --> 00:34:57,239 Speaker 2: Like I'm looking at this picture, there are so many 588 00:34:57,360 --> 00:35:00,880 Speaker 2: mites on this one beetle, Like does it not bother 589 00:35:01,000 --> 00:35:02,839 Speaker 2: the beetle or like weigh them down? 590 00:35:03,200 --> 00:35:05,960 Speaker 1: It could if there's enough of them, right, like that 591 00:35:06,040 --> 00:35:09,239 Speaker 1: could start to hinder the Beatles movement. So it can 592 00:35:09,360 --> 00:35:12,399 Speaker 1: vary from having just like you know, five of them 593 00:35:12,560 --> 00:35:15,120 Speaker 1: on there to what I showed you in this picture, 594 00:35:15,160 --> 00:35:17,759 Speaker 1: which is like I don't even know how many there are, 595 00:35:17,800 --> 00:35:18,560 Speaker 1: maybe one hundred. 596 00:35:19,040 --> 00:35:20,960 Speaker 2: It's yeah, like an upsetting amount of money. 597 00:35:21,120 --> 00:35:23,400 Speaker 1: It's yeah, it's like this is not for people to 598 00:35:23,440 --> 00:35:26,359 Speaker 1: look at. If you have what is it tripophobia where 599 00:35:26,360 --> 00:35:29,960 Speaker 1: you don't like to see yeah, things I try to 600 00:35:30,000 --> 00:35:30,359 Speaker 1: look at. 601 00:35:30,880 --> 00:35:31,320 Speaker 2: Do you have that? 602 00:35:31,480 --> 00:35:34,240 Speaker 1: Like this looks like one of those like gross things 603 00:35:34,280 --> 00:35:38,120 Speaker 1: on YouTube where I'm trying to look for ASMR or 604 00:35:38,520 --> 00:35:42,160 Speaker 1: relaxing sleep sleepy time videos and then they're like, would 605 00:35:42,200 --> 00:35:44,040 Speaker 1: you like to see a face with a bunch of 606 00:35:44,160 --> 00:35:47,919 Speaker 1: like worms on it? And I don't, Oh, yeah, happen? Okay, 607 00:35:47,920 --> 00:35:48,680 Speaker 1: does that happen to you? 608 00:35:49,440 --> 00:35:53,920 Speaker 2: You're looking for like the opposite of that, and it. 609 00:35:53,239 --> 00:35:55,600 Speaker 1: Right, And I was wondering like, is it like does 610 00:35:55,719 --> 00:35:58,760 Speaker 1: YouTube think I'm a freak? Like did I do something? 611 00:35:58,840 --> 00:36:01,960 Speaker 1: Did I mess up my algorithms somehow for them to 612 00:36:02,000 --> 00:36:03,720 Speaker 1: think that this is what I want to see? 613 00:36:04,120 --> 00:36:06,040 Speaker 2: But I think it's I just think it's I think 614 00:36:06,080 --> 00:36:09,000 Speaker 2: it's what the it's all of the algorithms, to be honest, like. 615 00:36:09,040 --> 00:36:12,920 Speaker 1: Yeah, they seem to push those weird thumbnails because I 616 00:36:12,960 --> 00:36:15,760 Speaker 1: turned off all the cookies I did like private browsing 617 00:36:15,800 --> 00:36:17,840 Speaker 1: to like try to get away from that. Not for 618 00:36:17,880 --> 00:36:21,719 Speaker 1: anything gross, don't worry, but like it was it. It 619 00:36:21,840 --> 00:36:24,439 Speaker 1: kept showing up, and it's like, I guess people are 620 00:36:24,520 --> 00:36:27,759 Speaker 1: looking like is this just they're very popular videos to 621 00:36:27,880 --> 00:36:30,960 Speaker 1: see like maybe the shock factor. I don't really know that. 622 00:36:31,239 --> 00:36:33,279 Speaker 2: I bet the clickbait does really well. I don't know 623 00:36:33,360 --> 00:36:36,879 Speaker 2: what the thought. I don't that's interesting. Yeah, I don't know. 624 00:36:37,080 --> 00:36:40,520 Speaker 1: Anyways, YouTube is really scary and looking at these beetles, 625 00:36:40,520 --> 00:36:42,719 Speaker 1: it makes me think of those weird videos. 626 00:36:42,360 --> 00:36:44,960 Speaker 2: That get it does feel like that, yeah, algorithm. 627 00:36:44,800 --> 00:36:47,799 Speaker 1: But it depends so in some cases, yes, they can 628 00:36:47,840 --> 00:36:49,840 Speaker 1: get laiden down with enough of these mites that it 629 00:36:49,880 --> 00:36:52,400 Speaker 1: could hinder their movement and in that case it is harmful, 630 00:36:52,480 --> 00:36:55,200 Speaker 1: that would be a parasitic relationship. Sometimes it's just a 631 00:36:55,200 --> 00:36:58,120 Speaker 1: few of them. And another interesting thing is that when 632 00:36:58,160 --> 00:37:00,480 Speaker 1: it is just a few of them, I couldn't find 633 00:37:00,480 --> 00:37:04,960 Speaker 1: any research that would confirm this behavior. But like, the 634 00:37:05,160 --> 00:37:09,000 Speaker 1: mites are sort of this orange color, and the carrion 635 00:37:09,040 --> 00:37:14,320 Speaker 1: beetles have these orange bands, and when they arrange themselves 636 00:37:14,360 --> 00:37:18,480 Speaker 1: over the orange bands, they blend in really well, which 637 00:37:18,560 --> 00:37:20,960 Speaker 1: makes me wonder if their color is meant to be 638 00:37:21,560 --> 00:37:25,040 Speaker 1: sort of a form of camouflage where they can sit 639 00:37:25,120 --> 00:37:29,960 Speaker 1: on this beetles back without being seen by potential predators. 640 00:37:29,960 --> 00:37:33,120 Speaker 1: But I couldn't find any confirmation about that. That might 641 00:37:33,160 --> 00:37:36,319 Speaker 1: not be true at all. But again, it's just there's 642 00:37:36,360 --> 00:37:40,160 Speaker 1: so much about these you'd think again that it's like, hey, 643 00:37:40,239 --> 00:37:42,840 Speaker 1: we would know everything about this relationship. 644 00:37:42,880 --> 00:37:44,319 Speaker 2: Is so much going on, so. 645 00:37:44,280 --> 00:37:47,640 Speaker 1: Much going on, it's a whole situationship. 646 00:37:48,280 --> 00:37:48,840 Speaker 2: Exactly. 647 00:37:50,000 --> 00:37:55,600 Speaker 1: So. Another example of mites are mites that are on bumblebees. 648 00:37:55,719 --> 00:38:02,200 Speaker 1: So bumblebees are my favorite little doufist just fuzzy, clumsy, 649 00:38:02,600 --> 00:38:07,719 Speaker 1: the adorable airplanes of the mite world. They are, I 650 00:38:07,719 --> 00:38:11,640 Speaker 1: think because bumblebees have all that nice sort of fuzz. 651 00:38:11,680 --> 00:38:15,040 Speaker 1: They're kind of big, and they're a little doo fear. 652 00:38:15,200 --> 00:38:18,439 Speaker 1: They've got their they've got their life a little less 653 00:38:18,440 --> 00:38:24,880 Speaker 1: together than say, honey bees certainly wasps, so bumblebees are a. 654 00:38:24,880 --> 00:38:26,480 Speaker 2: Little more certainly. 655 00:38:26,160 --> 00:38:29,400 Speaker 1: Was Yeah, bumblebees are kind of bimbos, a little bit 656 00:38:29,440 --> 00:38:33,799 Speaker 1: himbos and bimbos. So I think that might take advantage 657 00:38:33,840 --> 00:38:38,040 Speaker 1: of this to use bumblebees as a free taxi service. 658 00:38:38,960 --> 00:38:41,280 Speaker 1: And the mtes will actually hang out on these flowers 659 00:38:41,360 --> 00:38:46,279 Speaker 1: like their airports and go off and on bumblebees and 660 00:38:46,640 --> 00:38:51,640 Speaker 1: travel around, and then they'll go to bumblebee nests because 661 00:38:51,840 --> 00:38:54,600 Speaker 1: there are bumble bees that live in in a sort 662 00:38:54,600 --> 00:38:57,359 Speaker 1: of collective living where it's a there's like a queen 663 00:38:57,400 --> 00:39:00,960 Speaker 1: bumblebee sort of like a honey bee colony, but usually 664 00:39:01,080 --> 00:39:02,400 Speaker 1: quite a bit smaller. 665 00:39:02,680 --> 00:39:07,000 Speaker 2: And the like a polycule situation. 666 00:39:06,840 --> 00:39:13,880 Speaker 1: Yeah, something like that exactly, and a polycule polycule honeycomb situation, 667 00:39:15,120 --> 00:39:19,759 Speaker 1: and so the the depending on the species and also 668 00:39:19,840 --> 00:39:22,160 Speaker 1: depending on the live stage, which is wild. So like 669 00:39:22,360 --> 00:39:24,799 Speaker 1: mites will go through different life stages from sort of 670 00:39:24,880 --> 00:39:29,719 Speaker 1: nymphs to adults, and depending on their life stage, some 671 00:39:29,840 --> 00:39:33,160 Speaker 1: life stages they're more kleptoparasitics, so they actually like steal 672 00:39:33,239 --> 00:39:38,960 Speaker 1: pollen from the bumblebees. Sometimes they're more neutral or even helpful, 673 00:39:39,000 --> 00:39:42,000 Speaker 1: like in their adult stages, they might actually be helpful 674 00:39:42,680 --> 00:39:49,200 Speaker 1: because like, for example, the there's a parasiteliscorum, which sounds 675 00:39:49,320 --> 00:39:53,920 Speaker 1: really bad, but actually this little brown mite will eat 676 00:39:54,000 --> 00:39:58,839 Speaker 1: the eggs of other micro arthropods in the bumblebee nest. 677 00:39:59,400 --> 00:40:02,960 Speaker 1: So basically it's helpful to the bumblebees to have in 678 00:40:03,000 --> 00:40:05,920 Speaker 1: their nests. So but then in other life stages it 679 00:40:06,040 --> 00:40:09,920 Speaker 1: might do more harm where it's like eating pollen so 680 00:40:09,920 --> 00:40:12,360 Speaker 1: of stealing food. So it's just it's just very strange 681 00:40:12,360 --> 00:40:15,879 Speaker 1: because sometimes there's like a whole a species that might 682 00:40:15,880 --> 00:40:18,960 Speaker 1: be helpful to the bumblebees, or like it's only helpful 683 00:40:19,400 --> 00:40:22,440 Speaker 1: like once once it's at a certain stage of its life. 684 00:40:22,520 --> 00:40:24,240 Speaker 1: So very strange situation. 685 00:40:24,640 --> 00:40:28,040 Speaker 2: Yeah, both bumblebees were the the animals I was thinking 686 00:40:28,120 --> 00:40:31,600 Speaker 2: of first when when we were talking about like the 687 00:40:31,600 --> 00:40:36,280 Speaker 2: way plants are symbiotic with like like the way that 688 00:40:36,280 --> 00:40:41,600 Speaker 2: that pollen and gets spread around to planate flowers. So 689 00:40:41,600 --> 00:40:43,359 Speaker 2: it's good to know that that bees are just sort 690 00:40:43,400 --> 00:40:46,960 Speaker 2: of the the of the insect. 691 00:40:47,680 --> 00:40:51,680 Speaker 1: Oh, it's so true. It really is. Everyone there the 692 00:40:51,719 --> 00:40:53,440 Speaker 1: town bicycles. 693 00:40:53,200 --> 00:41:00,359 Speaker 2: Right, exactly everybody wants to ride. And that's okay. I'm 694 00:41:00,360 --> 00:41:00,960 Speaker 2: not judging. 695 00:41:01,200 --> 00:41:06,160 Speaker 1: No, we're not. We're not shaming the bees. Uh we're saying, 696 00:41:06,640 --> 00:41:09,600 Speaker 1: heck yeah, bees, you get your you get your freak 697 00:41:09,719 --> 00:41:15,319 Speaker 1: on with all those flowers. So, uh, Eli, can you 698 00:41:15,400 --> 00:41:18,680 Speaker 1: guess what the largest furant is because we've talked about 699 00:41:18,719 --> 00:41:20,839 Speaker 1: the tiny furants the mites, Like, what do you think 700 00:41:20,920 --> 00:41:25,040 Speaker 1: is the largest furant? Meaning the largest sort of symbiote 701 00:41:25,040 --> 00:41:27,600 Speaker 1: that uses another animal as transport? 702 00:41:28,280 --> 00:41:31,719 Speaker 2: Is it when I picked my cat up and put 703 00:41:31,760 --> 00:41:35,000 Speaker 2: her around my neck like a scarf. She doesn't like it, 704 00:41:35,120 --> 00:41:38,719 Speaker 2: but she'll stay there for a little bit. You know that. 705 00:41:39,000 --> 00:41:41,839 Speaker 1: It's that that's definitely giving this sort of shark wearing 706 00:41:41,840 --> 00:41:45,000 Speaker 1: the octopus as a hat vibe. Yeah that you know 707 00:41:45,200 --> 00:41:49,120 Speaker 1: you're you're close because it does involve humans. This is 708 00:41:49,120 --> 00:41:52,600 Speaker 1: one of those stupid answers where it's like humans, it 709 00:41:52,680 --> 00:41:56,960 Speaker 1: is men, it's man. The true monster was man all. 710 00:41:56,840 --> 00:42:00,879 Speaker 2: Along, the true the largest furant largest. 711 00:42:00,600 --> 00:42:06,480 Speaker 1: For all along, twas us, twas us, that was the 712 00:42:06,560 --> 00:42:10,080 Speaker 1: real beast. Anyways, who are we? 713 00:42:10,160 --> 00:42:15,759 Speaker 2: Who are we riding a top of horses? Oh? Duh, 714 00:42:16,680 --> 00:42:17,560 Speaker 2: of course. 715 00:42:17,560 --> 00:42:19,680 Speaker 1: Yes, cars from the movie Cars. 716 00:42:20,080 --> 00:42:24,160 Speaker 2: Parasites in the Cars, right, We're like that. 717 00:42:24,440 --> 00:42:28,120 Speaker 1: We're like the herpes of the Pixar Car universe. 718 00:42:28,040 --> 00:42:29,839 Speaker 2: Right, and Cars is actually set in the world where 719 00:42:29,880 --> 00:42:33,600 Speaker 2: they've cured They've cured their parasites, right, right. 720 00:42:33,480 --> 00:42:37,240 Speaker 1: But like humans are still like sort of an std 721 00:42:37,800 --> 00:42:42,200 Speaker 1: where you can catch humans from another car. Please please 722 00:42:42,600 --> 00:42:46,480 Speaker 1: check out my entire series of Pixar's Car fan fiction. 723 00:42:46,640 --> 00:42:49,920 Speaker 1: It's very PG thirteen are rated. 724 00:42:50,719 --> 00:42:55,080 Speaker 2: Yeah, it sounds, it sounds incredibly titillating. 725 00:42:54,680 --> 00:42:59,640 Speaker 1: It's nasty. So we actually humans are considered four rounds 726 00:42:59,680 --> 00:43:02,839 Speaker 1: because we ride on horses and we're the largest four 727 00:43:02,880 --> 00:43:05,719 Speaker 1: aunt in the world. We may have actually started riding 728 00:43:05,760 --> 00:43:10,680 Speaker 1: horses five thousand years ago, which is according to new 729 00:43:10,719 --> 00:43:15,600 Speaker 1: evidence found in the skeletons of ancient Yamnaya people in Eurasia, 730 00:43:15,640 --> 00:43:21,839 Speaker 1: who essentially like archaeologists do kind of bone magic where 731 00:43:21,840 --> 00:43:24,960 Speaker 1: they're like, oh, I can tell based on stress of 732 00:43:25,040 --> 00:43:29,560 Speaker 1: the bones that this skeleton rode a horse. I mean 733 00:43:29,600 --> 00:43:32,759 Speaker 1: like the Sorry, it's not the skeleton wasn't riding the 734 00:43:32,840 --> 00:43:36,320 Speaker 1: horse like a spooky, spooky Halloween ghost. 735 00:43:37,560 --> 00:43:41,799 Speaker 2: That would be cool, but it was it packed up 736 00:43:41,800 --> 00:43:42,799 Speaker 2: their bones to ride a. 737 00:43:42,719 --> 00:43:45,960 Speaker 1: Horse exactly exactly, so you could see like, hey, this 738 00:43:46,040 --> 00:43:52,000 Speaker 1: has horsemen syndrome, which also sounds like some of my 739 00:43:52,080 --> 00:43:55,640 Speaker 1: fan fiction. But anyways, the the bones had like certain 740 00:43:55,680 --> 00:43:59,400 Speaker 1: stress patterns caused by stress like on the muscle tissue 741 00:43:59,400 --> 00:44:02,239 Speaker 1: that would then be reflected in these marks on the bones. 742 00:44:03,200 --> 00:44:06,399 Speaker 2: It's like, how when they find my bones, they're gonna 743 00:44:06,400 --> 00:44:07,920 Speaker 2: be able to tell I spent twelve hours a day 744 00:44:07,920 --> 00:44:08,640 Speaker 2: on my laptop. 745 00:44:08,800 --> 00:44:10,960 Speaker 1: Yeah, yeah, yeah, they're gonna be like, ah, they have 746 00:44:11,040 --> 00:44:14,279 Speaker 1: the classic podcaster syndrome. You see, you can see from 747 00:44:14,320 --> 00:44:17,560 Speaker 1: the curvature of the spine and the stress impact on 748 00:44:17,680 --> 00:44:22,280 Speaker 1: the butt that this person was not mobile for most 749 00:44:22,280 --> 00:44:26,960 Speaker 1: of the day. Yeah exactly. But yeah, horses themselves like 750 00:44:27,440 --> 00:44:31,600 Speaker 1: were wild before they were domesticated. So now there's only 751 00:44:31,640 --> 00:44:35,600 Speaker 1: one wild horse species that's still living. It's called the taxies. 752 00:44:36,560 --> 00:44:37,840 Speaker 2: For a second, I thought you were gonna tell me 753 00:44:37,880 --> 00:44:39,480 Speaker 2: there was only one wild horse. 754 00:44:39,600 --> 00:44:42,560 Speaker 1: There's a little one horse. Guys, there's one horse left. 755 00:44:42,680 --> 00:44:44,440 Speaker 1: I don't know if you know, like if people have 756 00:44:44,480 --> 00:44:48,520 Speaker 1: been paying attention to problem, but we've like literally lost 757 00:44:48,560 --> 00:44:50,080 Speaker 1: all the horses. 758 00:44:50,120 --> 00:44:52,600 Speaker 2: One horse. He's the most special horse there is and 759 00:44:52,640 --> 00:44:54,239 Speaker 2: we have to take care of him. 760 00:44:54,360 --> 00:44:59,399 Speaker 1: He's so tired. But yeah, no, there there there's one 761 00:45:00,120 --> 00:45:05,280 Speaker 1: extant meaning living species of wild horse called the Taki, 762 00:45:05,520 --> 00:45:08,640 Speaker 1: So I have to clarify between there's a lot of 763 00:45:08,760 --> 00:45:14,120 Speaker 1: feral horses, so there's a difference between wild horse species 764 00:45:14,800 --> 00:45:18,840 Speaker 1: and feral horses. So feral horses used to be domesticated 765 00:45:19,480 --> 00:45:22,920 Speaker 1: and then we're like, I'm tired of people, and then 766 00:45:23,080 --> 00:45:27,120 Speaker 1: they pieced out and rewilded themselves by going back out 767 00:45:27,160 --> 00:45:30,919 Speaker 1: into nature and then creating a feral population. So there's 768 00:45:30,960 --> 00:45:35,160 Speaker 1: a ton of faral horses all over the world which 769 00:45:35,280 --> 00:45:38,120 Speaker 1: were like they used to be domesticated, but for hundreds 770 00:45:38,200 --> 00:45:41,200 Speaker 1: or even thousands of years, they've now been rewilded, so 771 00:45:41,239 --> 00:45:44,800 Speaker 1: they're wild horses now, but they're still considered like feral 772 00:45:44,840 --> 00:45:49,320 Speaker 1: horses because they used to be domesticated invescated, whereas the Takis, 773 00:45:50,520 --> 00:45:55,640 Speaker 1: the Mongolian wild horses, have never been domesticated. Some of 774 00:45:55,680 --> 00:45:57,720 Speaker 1: them might have been tamed, right, so there's a difference 775 00:45:57,719 --> 00:46:00,319 Speaker 1: between domestication and taming. So like you take I'm a 776 00:46:00,320 --> 00:46:05,440 Speaker 1: wolf and we've domesticated dogs. So the Taki species of 777 00:46:05,480 --> 00:46:08,200 Speaker 1: horses have not been domesticated because they have not been 778 00:46:08,239 --> 00:46:12,560 Speaker 1: selectively bred to be more amenable to us using them 779 00:46:12,600 --> 00:46:16,719 Speaker 1: as transportation. But yeah, they look interesting, because so these 780 00:46:16,719 --> 00:46:20,880 Speaker 1: are the takis? Are not I keep saying talkies and 781 00:46:20,920 --> 00:46:25,359 Speaker 1: it's making me hungry. So the Takis are not the 782 00:46:25,880 --> 00:46:31,160 Speaker 1: ancestor of modern domesticated horses, but they're close relative and 783 00:46:31,200 --> 00:46:34,640 Speaker 1: they share a common ancestor. We don't actually know exactly 784 00:46:34,760 --> 00:46:40,360 Speaker 1: what the ancestor is to domesticated horses. We don't like 785 00:46:40,440 --> 00:46:43,120 Speaker 1: have sort of the exact fossil record of it. 786 00:46:44,000 --> 00:46:46,040 Speaker 2: But what do we know? It seems like we don't 787 00:46:46,080 --> 00:46:46,479 Speaker 2: know shit. 788 00:46:46,800 --> 00:46:49,320 Speaker 1: Yeah, you know, we don't know a whole lot. 789 00:46:49,560 --> 00:46:54,120 Speaker 2: Honestly, like we walk around, we as a species walk 790 00:46:54,120 --> 00:46:57,080 Speaker 2: around with a lot of confidence for how little we know. 791 00:46:57,560 --> 00:47:03,200 Speaker 1: We do know based on cave drawings, actually that the 792 00:47:03,200 --> 00:47:08,560 Speaker 1: the original horses that we probably started domesticating, we're probably 793 00:47:08,719 --> 00:47:13,359 Speaker 1: very similar to the Taki horses, the Mongolian wildhorse, at 794 00:47:13,440 --> 00:47:17,720 Speaker 1: least in appearance. Based on genetic information. We don't think 795 00:47:17,800 --> 00:47:21,000 Speaker 1: that the that these are like the direct ancestors, but 796 00:47:21,080 --> 00:47:24,360 Speaker 1: that they're like a later relative because of you know, 797 00:47:24,480 --> 00:47:28,400 Speaker 1: genetic shenanigans in terms of like branching off at a 798 00:47:28,400 --> 00:47:30,880 Speaker 1: certain point. But yeah, we think they're very similar to 799 00:47:31,160 --> 00:47:35,359 Speaker 1: the og horse in terms of their like these tan 800 00:47:35,480 --> 00:47:39,120 Speaker 1: they're kind of like they're like sort of chunkier. They 801 00:47:39,160 --> 00:47:44,880 Speaker 1: have short manes, and they have more like mule like faces, 802 00:47:44,920 --> 00:47:48,720 Speaker 1: more rounded faces. They're they're rounder, they're kind of cute. 803 00:47:48,840 --> 00:47:52,080 Speaker 1: I think I like them a lot. They're very cute looking. 804 00:47:52,960 --> 00:47:55,719 Speaker 1: And so that's that's like what horses used to be 805 00:47:55,719 --> 00:47:59,160 Speaker 1: before we messed with them. 806 00:47:59,320 --> 00:48:05,440 Speaker 2: That makes sense. Are we like what type of what 807 00:48:07,320 --> 00:48:09,600 Speaker 2: category of symbiotic are we with horses? 808 00:48:09,880 --> 00:48:12,960 Speaker 1: That's a super good question. It's hard to answer. I 809 00:48:13,000 --> 00:48:19,360 Speaker 1: would say, you know, it's it's complicated because we've actually 810 00:48:19,400 --> 00:48:24,680 Speaker 1: created a new species of right horse, which is the 811 00:48:24,880 --> 00:48:31,560 Speaker 1: domesticated horse. And I would yeah, I mean, I think 812 00:48:31,600 --> 00:48:36,320 Speaker 1: it kind of depends on your perspective because in some sense, 813 00:48:37,080 --> 00:48:42,800 Speaker 1: because we've created domesticated horses, we've facilitated this new species 814 00:48:42,800 --> 00:48:47,640 Speaker 1: of horse to spread across the globe. And in that sense, 815 00:48:48,000 --> 00:48:51,520 Speaker 1: I would say it's like a symbiotic relationship that is 816 00:48:51,600 --> 00:48:56,560 Speaker 1: mutualistic because we help the horses reproduce, we take care 817 00:48:56,600 --> 00:49:01,120 Speaker 1: of them, we've increased their numbers and old like the 818 00:49:01,239 --> 00:49:05,759 Speaker 1: horses that we have bred have become you know, this 819 00:49:05,960 --> 00:49:10,800 Speaker 1: like dominant species of horse and so in that sense, 820 00:49:10,920 --> 00:49:14,640 Speaker 1: we've kind of it's a mixture of co evolving and 821 00:49:15,000 --> 00:49:17,640 Speaker 1: one where I think that it is I wouldn't. I 822 00:49:17,640 --> 00:49:20,120 Speaker 1: don't think I would describe it as a parasitic relationship 823 00:49:20,160 --> 00:49:27,000 Speaker 1: because we do ultimately facilitate the horse species their survival. 824 00:49:28,120 --> 00:49:31,040 Speaker 1: That's not a This is like not like a moral 825 00:49:31,480 --> 00:49:35,360 Speaker 1: sort of a a judgment or something in terms of 826 00:49:35,400 --> 00:49:37,880 Speaker 1: saying like, so it's good that we've done this to 827 00:49:37,920 --> 00:49:41,080 Speaker 1: horses or something like that. The ethical conversation about it 828 00:49:41,120 --> 00:49:44,480 Speaker 1: is completely separate. This is sort of just from the 829 00:49:44,520 --> 00:49:49,520 Speaker 1: evolutionary biology perspective of we by using horses, we made 830 00:49:49,560 --> 00:49:53,520 Speaker 1: more horses, right, But also if you're like shifting the 831 00:49:53,560 --> 00:49:58,319 Speaker 1: perspective to our relationship to the og wild horse, you 832 00:49:58,440 --> 00:50:03,359 Speaker 1: could view us as a paras because existence exactly. So 833 00:50:03,400 --> 00:50:05,960 Speaker 1: it kind of depends on how you view that and 834 00:50:05,960 --> 00:50:09,759 Speaker 1: how you view sort of the connectivity of species. Like 835 00:50:10,320 --> 00:50:12,920 Speaker 1: if you breathe them out of existence, but the new 836 00:50:13,239 --> 00:50:17,120 Speaker 1: horse that you've created then is way more successful than 837 00:50:17,160 --> 00:50:21,680 Speaker 1: the original horse? Is that a you know, it's sort 838 00:50:21,719 --> 00:50:25,960 Speaker 1: of like saying like, well, human beings bred out of 839 00:50:26,000 --> 00:50:32,560 Speaker 1: existence are ancestors. Is that really does that count as us? 840 00:50:32,600 --> 00:50:36,520 Speaker 1: Like killing off our ancestors because we're slightly different from 841 00:50:36,560 --> 00:50:40,320 Speaker 1: them and we outbred them. I would say probably no. 842 00:50:40,680 --> 00:50:45,560 Speaker 2: Like I guess that classic philosophical question, the Horse of Theseus. 843 00:50:45,040 --> 00:50:47,680 Speaker 1: The horse of Theseus, where you keep ripping apart a 844 00:50:47,760 --> 00:50:51,160 Speaker 1: horse and replacing its horse parts with the like one 845 00:50:51,239 --> 00:50:54,840 Speaker 1: legs of zebra and then one legs like a donkey, 846 00:50:54,960 --> 00:50:57,319 Speaker 1: and then by the time you're done with it, you 847 00:50:57,360 --> 00:50:59,960 Speaker 1: actually get Donkey from Shrek, and you're like, is this 848 00:51:00,120 --> 00:51:02,359 Speaker 1: still the same horse that I started out with? 849 00:51:03,080 --> 00:51:06,759 Speaker 2: And then Eddie Murphy says yes, yes, he sounds like 850 00:51:06,840 --> 00:51:07,640 Speaker 2: Eddie Murphy, so. 851 00:51:07,840 --> 00:51:11,319 Speaker 1: He's like, yeah, we're constantly dying and living. In the 852 00:51:11,320 --> 00:51:13,120 Speaker 1: context of the new Shrek movie. 853 00:51:14,040 --> 00:51:18,239 Speaker 2: Oh god, I would love to see Shrek five be 854 00:51:18,320 --> 00:51:22,080 Speaker 2: an existentialist horror film, but I don't think dream Works 855 00:51:22,160 --> 00:51:23,439 Speaker 2: is quite brave enough. 856 00:51:24,360 --> 00:51:27,560 Speaker 1: They're cowards. They won't give us a Shrek where we 857 00:51:27,640 --> 00:51:31,359 Speaker 1: see Shrek sort of eating his son like Saturn, and 858 00:51:31,560 --> 00:51:33,080 Speaker 1: I'm sad about it. 859 00:51:34,000 --> 00:51:35,080 Speaker 2: Man, that would be awesome. 860 00:51:35,480 --> 00:51:38,560 Speaker 1: Yeah, can you imagine. Anyways, we're going to take a 861 00:51:38,680 --> 00:51:41,080 Speaker 1: quick break and come up with a better Shrek, and 862 00:51:41,080 --> 00:51:43,879 Speaker 1: then when we come back, we're going to talk about 863 00:51:43,880 --> 00:51:48,080 Speaker 1: a couple of examples of animals that you might think 864 00:51:48,160 --> 00:51:51,160 Speaker 1: these seem like they would count as four aunts as 865 00:51:51,200 --> 00:51:54,200 Speaker 1: examples of Boric's but it's a little more complicated than that. 866 00:51:55,480 --> 00:51:58,080 Speaker 1: All right, So for the last two animals we're going 867 00:51:58,160 --> 00:52:00,680 Speaker 1: to talk about, were two types of animals to talk about. 868 00:52:01,040 --> 00:52:04,880 Speaker 1: These are I think if we think about like animals 869 00:52:04,920 --> 00:52:08,440 Speaker 1: that use other animals, it's transportations. These would come to 870 00:52:08,560 --> 00:52:12,479 Speaker 1: mind immediately. But the question is do they count as 871 00:52:12,880 --> 00:52:17,080 Speaker 1: four ants or not in terms of is their relationship 872 00:52:17,160 --> 00:52:23,440 Speaker 1: really primarily about transportation. So barnacles are a really interesting 873 00:52:23,600 --> 00:52:29,120 Speaker 1: example because I've seen a mix of references to them 874 00:52:29,160 --> 00:52:33,360 Speaker 1: as either it being for esis or not, and it 875 00:52:33,520 --> 00:52:35,560 Speaker 1: kind of I mean, part of the problem is these 876 00:52:35,600 --> 00:52:38,799 Speaker 1: categories again are not super rigid, but I've seen a 877 00:52:38,800 --> 00:52:41,760 Speaker 1: lot of sources saying like, no, they don't count because 878 00:52:41,800 --> 00:52:46,759 Speaker 1: barnacles are permanently attached to their host, and also they 879 00:52:46,880 --> 00:52:51,480 Speaker 1: use their host for Basically, it's not just about travel, 880 00:52:51,600 --> 00:52:55,279 Speaker 1: it's about a substrate like a home. So once it 881 00:52:55,400 --> 00:52:58,520 Speaker 1: becomes like this is my home, now, it's not really 882 00:52:58,560 --> 00:53:03,279 Speaker 1: about travel. It's like this is my this is my apartment. Uh, 883 00:53:03,320 --> 00:53:08,840 Speaker 1: this whales, this whales butt is my apartment, so they don't. 884 00:53:09,440 --> 00:53:12,560 Speaker 1: It's but you know, I've also seen it described as well, Yeah, 885 00:53:12,560 --> 00:53:15,319 Speaker 1: but they are the reason that they settle on a 886 00:53:15,320 --> 00:53:19,520 Speaker 1: whales butt and not just like other substrate is for 887 00:53:19,760 --> 00:53:22,440 Speaker 1: being able to travel at or being able to travel 888 00:53:22,480 --> 00:53:25,080 Speaker 1: around and get access to like different spots where there's 889 00:53:25,160 --> 00:53:28,200 Speaker 1: maybe more filter feeding opportunities. 890 00:53:28,000 --> 00:53:30,680 Speaker 2: Right for the for the the barnicle, it's it's like 891 00:53:30,760 --> 00:53:36,960 Speaker 2: truly about the journey, not the destination. Yeah, they're not 892 00:53:36,960 --> 00:53:39,080 Speaker 2: trying to go anywhere, They're just trying to go. 893 00:53:39,400 --> 00:53:42,200 Speaker 1: You know what. It's such a healthy life philosophy, Like 894 00:53:42,239 --> 00:53:45,319 Speaker 1: if we were all just less thinking about where we 895 00:53:45,360 --> 00:53:47,160 Speaker 1: want to be and who we want to be, we 896 00:53:47,200 --> 00:53:49,760 Speaker 1: could all be a little more like the humble barnacle. 897 00:53:50,080 --> 00:53:52,160 Speaker 2: The humble barnacle, The humble Barnacle. 898 00:53:52,960 --> 00:53:55,080 Speaker 1: I got it. Just this is a little bit of 899 00:53:55,120 --> 00:53:57,560 Speaker 1: a tangent, but it's just too weird not to share. 900 00:53:57,640 --> 00:54:01,000 Speaker 1: So there's a lot of different types of arracles. There's 901 00:54:02,120 --> 00:54:06,480 Speaker 1: they're actually crustaceans. They're related to crabs. There's a bunch 902 00:54:06,480 --> 00:54:08,920 Speaker 1: of different species. They're not all sort of the little 903 00:54:09,080 --> 00:54:13,040 Speaker 1: just like bumpy wart like things that we see it, 904 00:54:13,160 --> 00:54:19,040 Speaker 1: like like whale acne. There's also long ones. There's god. Okay, 905 00:54:19,120 --> 00:54:23,239 Speaker 1: I'm gonna say this word real good. It's Zeno baileinis 906 00:54:24,360 --> 00:54:30,560 Speaker 1: globic ticis I I I did not mount, I did 907 00:54:30,560 --> 00:54:39,120 Speaker 1: not nail the landing. There Zeno baileinis globbic pictus, Yes, 908 00:54:40,080 --> 00:54:44,560 Speaker 1: globic globbic pitus. Okay, there we go. 909 00:54:45,800 --> 00:54:48,080 Speaker 2: Anyways, there's a lot of letters in there. 910 00:54:48,360 --> 00:54:51,600 Speaker 1: I'm gonna call them unholy canolis because they like, that's 911 00:54:51,640 --> 00:54:55,399 Speaker 1: what they look like. They look like weird little squash blossoms. 912 00:54:55,800 --> 00:54:59,520 Speaker 1: They're kind of long and tubular, and they attached to whales. 913 00:55:00,600 --> 00:55:04,279 Speaker 1: And then there's also species of barnacles called goose neck 914 00:55:04,360 --> 00:55:07,640 Speaker 1: barnacles that have like a long stalk and they're like 915 00:55:07,719 --> 00:55:11,080 Speaker 1: tipped in calcium plates. They look like super weird aliens. 916 00:55:12,920 --> 00:55:16,319 Speaker 1: And the weirdest thing about them is actually our misconception 917 00:55:16,480 --> 00:55:19,640 Speaker 1: of them back in medieval times, which is that because 918 00:55:19,640 --> 00:55:22,160 Speaker 1: they have this like long neck like a goose, and 919 00:55:22,200 --> 00:55:25,040 Speaker 1: because they're kind of like black and white, they're the 920 00:55:25,160 --> 00:55:29,840 Speaker 1: same coloration as a actual goose, a bird called the 921 00:55:29,960 --> 00:55:33,879 Speaker 1: barnacle goose, which is black and white, had this long neck. 922 00:55:34,640 --> 00:55:38,440 Speaker 1: But medieval people, like in Europe, didn't have a concept 923 00:55:38,520 --> 00:55:44,320 Speaker 1: about geese migrating. So they would see these barnacle geese 924 00:55:44,560 --> 00:55:48,759 Speaker 1: like the bird and not see any evidence of a 925 00:55:48,960 --> 00:55:54,719 Speaker 1: nest or eggs, but they would see goose neck barnacles. 926 00:55:54,800 --> 00:56:01,480 Speaker 1: So the crustacean this like long, weird, inanimate looking thing. 927 00:56:02,640 --> 00:56:05,040 Speaker 1: And because they had long neck, because they had the 928 00:56:05,080 --> 00:56:09,120 Speaker 1: black and white coloration, medieval people thought that the geese 929 00:56:09,719 --> 00:56:15,759 Speaker 1: spontaneously generated from the barnacles. And because they like just 930 00:56:15,840 --> 00:56:18,239 Speaker 1: couldn't find any eggs, and they couldn't fathom that maybe 931 00:56:18,320 --> 00:56:21,160 Speaker 1: the geese flew there rather than were born there. 932 00:56:22,400 --> 00:56:23,280 Speaker 2: That's so funny. 933 00:56:23,680 --> 00:56:23,879 Speaker 1: Yeah. 934 00:56:23,960 --> 00:56:27,879 Speaker 2: And then I presumably we named the geese after the barnacles, 935 00:56:28,000 --> 00:56:31,640 Speaker 2: and we didn't choose the word barnacle after the geese. 936 00:56:32,320 --> 00:56:34,480 Speaker 2: That would be that would be a much crazier etymology. 937 00:56:34,680 --> 00:56:35,360 Speaker 2: I don't think so. 938 00:56:35,440 --> 00:56:39,680 Speaker 1: I think barnacle, I'll do it. I believe so because 939 00:56:39,800 --> 00:56:48,640 Speaker 1: barnacle uh an homology. I believe it has uh huh, okay, 940 00:56:48,719 --> 00:56:50,520 Speaker 1: maybe it does have something to do with the goose. 941 00:56:50,880 --> 00:56:52,360 Speaker 2: Oh my god, that's nuts. 942 00:56:52,520 --> 00:56:59,320 Speaker 1: Wait, hang on, Barnick really be oh huh you know 943 00:56:59,440 --> 00:57:07,120 Speaker 1: what actually burnac which is like Anglo Latin burnecki. There's 944 00:57:07,160 --> 00:57:11,040 Speaker 1: no way that's right, early thirteenth centuries species of northern 945 00:57:11,160 --> 00:57:17,280 Speaker 1: European wild goose meaning no way. The meaning the type 946 00:57:17,320 --> 00:57:20,640 Speaker 1: of shelf is found on clusters on submerged wood, is 947 00:57:20,640 --> 00:57:25,920 Speaker 1: attested by fifteen eighties. It is of unknown origin, despite 948 00:57:25,960 --> 00:57:32,120 Speaker 1: intense speculation. The earliest form looks like bare neck. So 949 00:57:33,080 --> 00:57:38,400 Speaker 1: barnacle might have actually first been the goose. 950 00:57:39,520 --> 00:57:42,160 Speaker 2: That's amazing, and like the goose. 951 00:57:42,600 --> 00:57:45,280 Speaker 1: Yeah, so the goose nests in the Arctic and then 952 00:57:45,360 --> 00:57:50,400 Speaker 1: returns to Europe in the winter. So Europeans, those silly 953 00:57:50,480 --> 00:57:54,000 Speaker 1: goats like never see any of the eggs that the 954 00:57:54,080 --> 00:57:56,919 Speaker 1: geese slays. They're like, where are these geese coming from? 955 00:57:57,880 --> 00:57:59,840 Speaker 2: Egg hatching from the barnacle. 956 00:58:00,160 --> 00:58:03,320 Speaker 1: They're hatching from the barnacles. So it was like they 957 00:58:03,440 --> 00:58:07,640 Speaker 1: thought that they would develop from the barnacle's shell and 958 00:58:08,280 --> 00:58:11,800 Speaker 1: like also, yeah, I guess so this etymology has even 959 00:58:11,840 --> 00:58:15,120 Speaker 1: more information. Like they they thought that like the that 960 00:58:15,360 --> 00:58:19,000 Speaker 1: the stalks of the crustaceans having this like texture that 961 00:58:19,120 --> 00:58:24,520 Speaker 1: resembled goose feathers, which is wild. So uh, they thought 962 00:58:24,640 --> 00:58:28,200 Speaker 1: that like the barnacles would grow on trees and then 963 00:58:28,320 --> 00:58:31,400 Speaker 1: fall into the ocean and then like that would cause 964 00:58:31,480 --> 00:58:34,960 Speaker 1: them to turn into geese. They were so bored back then, 965 00:58:35,320 --> 00:58:41,320 Speaker 1: like they did. They're just like they're just eating potatoes 966 00:58:41,440 --> 00:58:46,400 Speaker 1: for the you know, billianth night in a row and 967 00:58:46,440 --> 00:58:49,920 Speaker 1: they see they see a goose. They're like, where the 968 00:58:50,040 --> 00:58:51,680 Speaker 1: hell did that goose come from? 969 00:58:53,680 --> 00:58:55,760 Speaker 2: That goose looks a lot like that weird rock I 970 00:58:55,840 --> 00:58:57,080 Speaker 2: saw in the ocean. 971 00:58:57,040 --> 00:59:00,080 Speaker 1: Right, exactly like it had that thing was black and 972 00:59:00,160 --> 00:59:03,040 Speaker 1: white and long, And this thing is black and white 973 00:59:03,040 --> 00:59:08,800 Speaker 1: and long. Goose comes from the barnacle, obviously. 974 00:59:08,920 --> 00:59:11,880 Speaker 2: That which well, the again yet again another famous expression 975 00:59:11,920 --> 00:59:15,320 Speaker 2: which came first the goose or the barnacle? 976 00:59:15,440 --> 00:59:18,520 Speaker 1: Exactly. Yes, now we know where that famous expression about 977 00:59:18,800 --> 00:59:21,000 Speaker 1: the goose or the barnacle comes from. Wonderful. 978 00:59:21,120 --> 00:59:23,720 Speaker 2: My only point of reference for barnacles for a long 979 00:59:23,760 --> 00:59:27,080 Speaker 2: time was that there I used to be willing to pirates. 980 00:59:27,120 --> 00:59:30,520 Speaker 2: And and keel hauling is a method of torture that 981 00:59:30,800 --> 00:59:33,400 Speaker 2: where pirates would attach you to a rope and then 982 00:59:33,480 --> 00:59:35,240 Speaker 2: run you under the boat so that you would get 983 00:59:35,320 --> 00:59:38,320 Speaker 2: like ripped up by the barnacles on the bottom of 984 00:59:38,360 --> 00:59:41,000 Speaker 2: the boat. That they would like drop you in front 985 00:59:41,040 --> 00:59:43,520 Speaker 2: of the boat and then you would like the boat 986 00:59:43,520 --> 00:59:45,960 Speaker 2: would keep going and you get like joinked under it 987 00:59:46,080 --> 00:59:49,120 Speaker 2: and then they'd pull you back up. Oh damn, that's yeah, 988 00:59:49,120 --> 00:59:51,160 Speaker 2: it's really horrible. It's like getting. 989 00:59:51,000 --> 00:59:54,919 Speaker 1: Cheese gratered by barnacles. Oh yeah, that doesn't sound very good. 990 00:59:55,680 --> 00:59:59,720 Speaker 2: Do barnacles? Do barnacles think boats are just like terrible whales? 991 01:00:00,080 --> 01:00:01,040 Speaker 2: Is that what's happening there? 992 01:00:01,240 --> 01:00:03,760 Speaker 1: I mean they will also they would also like sort 993 01:00:03,800 --> 01:00:08,200 Speaker 1: of go on say like pieces of wood that would 994 01:00:08,280 --> 01:00:11,440 Speaker 1: fall into the water, so it wouldn't just be boats. 995 01:00:11,520 --> 01:00:13,080 Speaker 1: But yeah, I mean it's just like there's a boat. 996 01:00:13,160 --> 01:00:15,160 Speaker 1: It's like I'm on this boat. Now, It's like whoa, 997 01:00:15,320 --> 01:00:21,320 Speaker 1: we're moving right. Yeah. So yeah, just like really awful 998 01:00:21,440 --> 01:00:24,640 Speaker 1: stinky whales. Probably is. I mean, barnicles don't have a 999 01:00:24,720 --> 01:00:29,920 Speaker 1: lot going on in terms of neural right, they exactly. 1000 01:00:30,680 --> 01:00:32,160 Speaker 1: So the last one I want to talk about is 1001 01:00:32,240 --> 01:00:34,800 Speaker 1: something that maybe people think of when we think about 1002 01:00:35,160 --> 01:00:38,400 Speaker 1: an animal riding a horse, and those are oxpeckers. So 1003 01:00:38,640 --> 01:00:41,880 Speaker 1: oxpeckers are one of the most famous examples of like 1004 01:00:42,000 --> 01:00:44,600 Speaker 1: animals riding on another animals because they sit on the 1005 01:00:44,720 --> 01:00:48,880 Speaker 1: backs of a ton of ungulates. Hooved animals found in 1006 01:00:49,120 --> 01:00:55,360 Speaker 1: Africa and savannahs, so zebras, rhinos kudoos, which is sort 1007 01:00:55,400 --> 01:00:59,840 Speaker 1: of an antelope like animal, will the beast, buffalo and pollod, giraffes, 1008 01:01:00,000 --> 01:01:04,200 Speaker 1: et cetera. All sorts of these megafauna found in African 1009 01:01:04,280 --> 01:01:09,840 Speaker 1: savannahs have often been observed with oxpeckers on them as 1010 01:01:09,880 --> 01:01:14,080 Speaker 1: a passenger. And oxpeckers like these other examples are really 1011 01:01:14,160 --> 01:01:19,200 Speaker 1: interesting because they blur the line between mutualism and parasitism. Now, 1012 01:01:19,280 --> 01:01:22,680 Speaker 1: the one thing about them is that seems pretty definitive 1013 01:01:22,920 --> 01:01:27,360 Speaker 1: is they are not really considered fronts, so they don't 1014 01:01:27,440 --> 01:01:31,080 Speaker 1: actually ride on the backs of these animals as transportation. 1015 01:01:31,720 --> 01:01:35,840 Speaker 1: They do it for the snacks, mostly like there's a 1016 01:01:35,920 --> 01:01:38,800 Speaker 1: lot of snacks to be had on the backs of 1017 01:01:39,000 --> 01:01:43,440 Speaker 1: say a zebra, in the form of ticks, in the 1018 01:01:43,520 --> 01:01:46,840 Speaker 1: form of botflies, which don't look that up. I beg, 1019 01:01:46,920 --> 01:01:49,360 Speaker 1: you do not google that. It's gross. 1020 01:01:49,920 --> 01:01:52,400 Speaker 2: Uh I never. 1021 01:01:54,120 --> 01:01:56,920 Speaker 1: Just so you know, botflies lay their larva under the 1022 01:01:57,000 --> 01:01:59,919 Speaker 1: skin and then they you know, develop under the skin 1023 01:02:00,080 --> 01:02:03,520 Speaker 1: and in form sort of this bolus and then hatch 1024 01:02:03,560 --> 01:02:06,880 Speaker 1: and it's gross. But the oxpecker will eat these things, 1025 01:02:06,920 --> 01:02:09,480 Speaker 1: will eat the they'll eat the ticks, and it's just 1026 01:02:09,600 --> 01:02:11,600 Speaker 1: it's like a it's like a feast. It's sort of like, 1027 01:02:11,920 --> 01:02:14,840 Speaker 1: if I don't know, the first time I've ever seen 1028 01:02:14,920 --> 01:02:18,160 Speaker 1: this is in Italy, but I'm sure this exists elsewhere. 1029 01:02:18,200 --> 01:02:22,360 Speaker 1: Which is like a dining trolley where it's like a 1030 01:02:22,520 --> 01:02:25,880 Speaker 1: tram and you're on it and they serve you dinner 1031 01:02:26,000 --> 01:02:28,760 Speaker 1: on it, but you're not really riding the tram to 1032 01:02:28,920 --> 01:02:32,320 Speaker 1: get anywhere. You're just riding it to eat dinner, which 1033 01:02:32,640 --> 01:02:36,680 Speaker 1: honestly to me sounds awful. I'm like eating dinner and 1034 01:02:36,880 --> 01:02:39,720 Speaker 1: I'm moving on a tram and it's like rumbling. The 1035 01:02:39,840 --> 01:02:43,160 Speaker 1: silverware is kind of jingling, and then I can't imagine 1036 01:02:43,200 --> 01:02:47,080 Speaker 1: the bathroom is very good. Uh So I'm starting to 1037 01:02:47,200 --> 01:02:51,080 Speaker 1: feel nauseated because, like, I'm in a small tram eating 1038 01:02:51,200 --> 01:02:53,960 Speaker 1: dinner doesn't sound great, but some. 1039 01:02:54,040 --> 01:02:54,960 Speaker 2: People like to do it. 1040 01:02:55,200 --> 01:02:57,560 Speaker 1: But that's essentially what the oxpeckers are doing. It's like 1041 01:02:57,720 --> 01:03:01,760 Speaker 1: it's like a dining experience. They don't actually really need 1042 01:03:01,840 --> 01:03:03,120 Speaker 1: to get from point A to point B. 1043 01:03:04,120 --> 01:03:07,320 Speaker 2: That makes sense, And actually, before before this podcast, that's 1044 01:03:07,440 --> 01:03:09,240 Speaker 2: sort of what I thought all of the animal like, 1045 01:03:09,280 --> 01:03:12,560 Speaker 2: I assumed that most of the animals riding on other 1046 01:03:12,600 --> 01:03:14,880 Speaker 2: animals were it was more about food than transport. I 1047 01:03:14,920 --> 01:03:17,040 Speaker 2: think of like those little birds that sit on alligators. 1048 01:03:17,040 --> 01:03:19,560 Speaker 2: Are those oxpeckers? Are those something different? 1049 01:03:19,920 --> 01:03:24,640 Speaker 1: Those? You know? It could be I think if so, 1050 01:03:24,800 --> 01:03:28,120 Speaker 1: like the little birds that like sit on I don't know, 1051 01:03:28,320 --> 01:03:30,520 Speaker 1: I don't. I don't think they would be Uh, they 1052 01:03:30,600 --> 01:03:33,120 Speaker 1: might be oxpeckers, but I think in general oxpeckers stick 1053 01:03:33,160 --> 01:03:37,240 Speaker 1: to more like terrestrial animals. But it could be. There's 1054 01:03:37,280 --> 01:03:40,320 Speaker 1: also like there there are little birds. I'm trying to 1055 01:03:40,360 --> 01:03:44,880 Speaker 1: think of the species that do hang out around alligators. 1056 01:03:44,920 --> 01:03:46,640 Speaker 1: Let me just look that up really quickly, because there's 1057 01:03:46,680 --> 01:03:49,000 Speaker 1: like an idea of them sort of picking in the 1058 01:03:49,120 --> 01:03:52,480 Speaker 1: alligator's teeth. And that has never like that was maybe 1059 01:03:52,560 --> 01:03:58,040 Speaker 1: observed once and hasn't really been established as a routine behavior. 1060 01:03:59,120 --> 01:04:01,400 Speaker 2: But it certainly it really embedded itself in my mind 1061 01:04:01,440 --> 01:04:03,280 Speaker 2: because that is what I was thinking of the bird 1062 01:04:03,360 --> 01:04:06,000 Speaker 2: and the alligators. I feel like there's a whole I 1063 01:04:06,080 --> 01:04:07,600 Speaker 2: can't I will not remember the name of it. But 1064 01:04:07,640 --> 01:04:10,880 Speaker 2: there's a children's book where an alligator uses like a 1065 01:04:10,920 --> 01:04:14,360 Speaker 2: bird as a toothbrush, like they that that imagery is really. 1066 01:04:15,040 --> 01:04:18,240 Speaker 1: Yes, I think I remember. I think I remember that 1067 01:04:18,600 --> 01:04:23,600 Speaker 1: as well. So, but it's like and that act so Okay, 1068 01:04:23,920 --> 01:04:30,200 Speaker 1: so that comes from the a plover bird. So these 1069 01:04:30,440 --> 01:04:35,560 Speaker 1: are little aquatic birds that will sit on a crocodile 1070 01:04:35,600 --> 01:04:40,240 Speaker 1: or yeah, sit on a crocodile, and sometimes they can 1071 01:04:40,280 --> 01:04:46,240 Speaker 1: be seen like maybe near their mouth. But it's I 1072 01:04:46,360 --> 01:04:50,720 Speaker 1: don't think that there's any really good evidence that plovers 1073 01:04:51,160 --> 01:04:55,720 Speaker 1: actually do dental care for crocodiles consistently. But I see 1074 01:04:55,760 --> 01:04:59,240 Speaker 1: that repeated as like an established fact, but that's not 1075 01:05:00,040 --> 01:05:02,600 Speaker 1: it's not. I don't think that's actually an established fact. 1076 01:05:03,160 --> 01:05:05,440 Speaker 1: Another example of a bird, but this is not like 1077 01:05:05,480 --> 01:05:09,280 Speaker 1: a little bird like egrets will sometimes sit I believe, 1078 01:05:09,480 --> 01:05:13,360 Speaker 1: on alligators, not on crocodiles. So like, the plovers are big, right, 1079 01:05:13,600 --> 01:05:15,680 Speaker 1: Egrets are big, though they're not the little tiny birds. 1080 01:05:15,720 --> 01:05:17,520 Speaker 1: So the plovers are the little ones that I think 1081 01:05:17,680 --> 01:05:23,760 Speaker 1: have been mythologized into like crocodile dentists, and egrets are 1082 01:05:23,920 --> 01:05:26,200 Speaker 1: sort of the big white birds with the long necks, 1083 01:05:26,680 --> 01:05:30,400 Speaker 1: and those are the ones that are will like hang 1084 01:05:30,480 --> 01:05:33,240 Speaker 1: out on alligators and kind of sit on them as 1085 01:05:33,400 --> 01:05:36,320 Speaker 1: like and actually know what, I think that might count 1086 01:05:36,480 --> 01:05:41,840 Speaker 1: as sort of a forurnt because they're just like hanging 1087 01:05:42,080 --> 01:05:45,840 Speaker 1: out on them like they're a boat or a not 1088 01:05:45,960 --> 01:05:48,880 Speaker 1: necessarily for transportation though, but maybe for like a place 1089 01:05:49,000 --> 01:05:51,760 Speaker 1: of rest. Yeah, yeah, for the like also like you know, 1090 01:05:51,920 --> 01:05:53,560 Speaker 1: like a perch for them. 1091 01:05:54,280 --> 01:05:56,240 Speaker 2: Well it's sort of like a vanity car, right, Like 1092 01:05:56,400 --> 01:05:58,560 Speaker 2: a lot of sports cars aren't super practical, but they 1093 01:05:58,680 --> 01:06:01,080 Speaker 2: look cool, soue Like. 1094 01:06:01,200 --> 01:06:05,760 Speaker 1: If it's like this, egret is picking up egret chicks, 1095 01:06:06,040 --> 01:06:08,280 Speaker 1: which has a different connotation now that I think about it. 1096 01:06:09,000 --> 01:06:14,040 Speaker 1: Egret females by cruiser babes. The babes exactly, that's what 1097 01:06:14,160 --> 01:06:21,520 Speaker 1: birds call them babes. Yeah, so the the oxpeckers actually, 1098 01:06:21,720 --> 01:06:25,600 Speaker 1: because they're feeding on parasites on top of the animals, 1099 01:06:26,040 --> 01:06:28,080 Speaker 1: you think, like, okay, so this is an example of 1100 01:06:28,400 --> 01:06:33,560 Speaker 1: a mutualistic relationship. They're both benefiting, but they also can't 1101 01:06:33,600 --> 01:06:36,280 Speaker 1: help but kind of be jerks sometimes, so like they 1102 01:06:36,360 --> 01:06:41,120 Speaker 1: will I say, like the buffalo or the zebra that 1103 01:06:41,160 --> 01:06:44,480 Speaker 1: they're sitting on has like a little wound or something. 1104 01:06:44,560 --> 01:06:47,680 Speaker 1: Maybe even like maybe they pick a parasite out, but 1105 01:06:47,760 --> 01:06:50,520 Speaker 1: then they have like a wound left behind. They'll drink 1106 01:06:50,600 --> 01:06:53,680 Speaker 1: blood from that wound and sometimes they've even been observed 1107 01:06:53,760 --> 01:06:56,120 Speaker 1: like opening up the wound more because it's like ooh, 1108 01:06:57,040 --> 01:07:01,200 Speaker 1: you know, delicious, delicious zebra juice. The drink it right, 1109 01:07:01,360 --> 01:07:05,240 Speaker 1: so they're not so innocent. And the whether or not 1110 01:07:05,280 --> 01:07:08,040 Speaker 1: they're beneficial like is again, it's one of those things 1111 01:07:08,120 --> 01:07:13,040 Speaker 1: that is really hard to tell because it's not very 1112 01:07:13,120 --> 01:07:18,240 Speaker 1: clear whether or not they're actually hurting them more than 1113 01:07:18,240 --> 01:07:20,080 Speaker 1: they're helping. There have been studies to try to look 1114 01:07:20,120 --> 01:07:24,320 Speaker 1: at whether they're actually reducing the amount of ticks on them, 1115 01:07:24,360 --> 01:07:27,560 Speaker 1: and it seems like sometimes they're just eating the ticks 1116 01:07:27,600 --> 01:07:29,920 Speaker 1: that have already had blood meals, So it's hard to 1117 01:07:29,960 --> 01:07:34,400 Speaker 1: tell whether that's like beneficial. Uh so, yeah, it's it's again, 1118 01:07:34,520 --> 01:07:36,960 Speaker 1: it's an this I feel like this episode more than 1119 01:07:37,000 --> 01:07:39,880 Speaker 1: any other episode, has really been about like how we 1120 01:07:40,000 --> 01:07:44,680 Speaker 1: don't like you mentioned, I don't really know anything, just 1121 01:07:44,800 --> 01:07:51,200 Speaker 1: like you know, sometimes that happens. Yeah, and it's weird. 1122 01:07:51,640 --> 01:07:55,640 Speaker 1: But there is one actually really cool observation that has 1123 01:07:55,680 --> 01:07:59,200 Speaker 1: been backed up by research where it is definitely a 1124 01:08:00,120 --> 01:08:05,080 Speaker 1: mutualistic relationship, and that's between oxpeckers and rhinos, because oxpeckers 1125 01:08:05,120 --> 01:08:07,160 Speaker 1: will more or less do the same thing with rhinos 1126 01:08:07,200 --> 01:08:10,160 Speaker 1: that they do with other species, picking off parasites maybe 1127 01:08:10,160 --> 01:08:15,400 Speaker 1: even sort of like eating their earwax a little bit 1128 01:08:16,439 --> 01:08:20,040 Speaker 1: and their dandruff, you know, because hey, why not? That 1129 01:08:20,160 --> 01:08:23,400 Speaker 1: actually sounds pretty like they're getting a little bird spa there. 1130 01:08:23,920 --> 01:08:28,120 Speaker 1: But the thing that really helps the rhino is that 1131 01:08:28,400 --> 01:08:32,200 Speaker 1: the oxpeckers have better vision than the rhinos, and they 1132 01:08:32,280 --> 01:08:36,920 Speaker 1: are more sensitive to seeing potential predators from far away, 1133 01:08:37,600 --> 01:08:40,479 Speaker 1: and they can see humans, and when they see humans, 1134 01:08:40,560 --> 01:08:43,320 Speaker 1: they will issue this alarm call. And for the rhino, 1135 01:08:43,439 --> 01:08:47,040 Speaker 1: that's really useful because the rhino has good hearing, it 1136 01:08:47,120 --> 01:08:49,920 Speaker 1: has pretty good sense of smell, but it doesn't have 1137 01:08:50,000 --> 01:08:53,040 Speaker 1: great visions. So the bird is actually going to spot, 1138 01:08:53,200 --> 01:08:56,040 Speaker 1: like say, a human approaching faster than the rhino will, 1139 01:08:56,320 --> 01:08:58,679 Speaker 1: and that's really important for the rhino to avoid being 1140 01:08:58,800 --> 01:09:01,519 Speaker 1: poached by a human being. Humans are going to be 1141 01:09:01,720 --> 01:09:08,320 Speaker 1: the most dangerous predator for the rhinos, so the presence 1142 01:09:08,560 --> 01:09:11,160 Speaker 1: of there have been studies that saw that the presence 1143 01:09:11,200 --> 01:09:15,040 Speaker 1: of oxpeckers on rhinos helped the rhinos spot and avoid 1144 01:09:15,160 --> 01:09:18,559 Speaker 1: humans faster than rhinos that didn't have the oxpeckers on them. 1145 01:09:18,640 --> 01:09:21,519 Speaker 1: So in this in this specific case of the rhino 1146 01:09:21,640 --> 01:09:24,800 Speaker 1: and the oxpecker, I would say this counts as a 1147 01:09:25,479 --> 01:09:28,559 Speaker 1: mutualistic relationship where they both gain a benefit. 1148 01:09:29,479 --> 01:09:31,840 Speaker 2: That's awesome. That's so cool that we know that, and 1149 01:09:31,920 --> 01:09:34,720 Speaker 2: also kind of depressing that we can we can make 1150 01:09:34,760 --> 01:09:39,360 Speaker 2: that observation, like these birds help rhinos not get murdered 1151 01:09:39,400 --> 01:09:42,200 Speaker 2: by us. But what we're still like we know that, 1152 01:09:42,320 --> 01:09:45,080 Speaker 2: but we're still doing the murdering. Yeah, I'm sure it's 1153 01:09:45,120 --> 01:09:45,880 Speaker 2: not the same humans. 1154 01:09:46,040 --> 01:09:48,200 Speaker 1: It's not the same people. For sure. It's not like 1155 01:09:48,280 --> 01:09:50,799 Speaker 1: the poacher's submitting a paper to nature. 1156 01:09:51,240 --> 01:09:53,960 Speaker 2: But like, wow, when I try to kill this rhino, 1157 01:09:54,439 --> 01:09:57,839 Speaker 2: the birds warn it and it goes really interesting. 1158 01:09:58,320 --> 01:10:00,120 Speaker 1: I mean that's like, that's kind of how like we 1159 01:10:00,240 --> 01:10:02,680 Speaker 1: used to conduct a lot of our sort of uh 1160 01:10:03,640 --> 01:10:06,479 Speaker 1: you know, natural research where it's like, ah, you know, 1161 01:10:06,640 --> 01:10:10,120 Speaker 1: like I a bunch of turtles, and in the process 1162 01:10:10,240 --> 01:10:12,280 Speaker 1: of eating a bunch of turtles, I noticed that. 1163 01:10:13,000 --> 01:10:15,360 Speaker 2: I noticed that the turtles do not like being They 1164 01:10:15,439 --> 01:10:16,759 Speaker 2: don't like it, even. 1165 01:10:16,600 --> 01:10:19,680 Speaker 1: Though they come in a bowl. Like why would they 1166 01:10:19,760 --> 01:10:21,320 Speaker 1: come in a bowl if they don't want me to 1167 01:10:21,400 --> 01:10:23,080 Speaker 1: eat them? Oh? 1168 01:10:23,360 --> 01:10:24,799 Speaker 2: That makes that so sad. 1169 01:10:25,320 --> 01:10:29,519 Speaker 1: Oh no, I I hate to I hate to tell 1170 01:10:29,600 --> 01:10:33,040 Speaker 1: people about how Charles Darwin snacked on so many of 1171 01:10:33,040 --> 01:10:37,320 Speaker 1: the animals he discovered. He's like he's the grandfather of 1172 01:10:37,960 --> 01:10:41,560 Speaker 1: evolutionary science or one of them, you know, and like 1173 01:10:42,640 --> 01:10:48,040 Speaker 1: he just went to town, like he tried like Galapagos tortoise. 1174 01:10:48,120 --> 01:10:50,560 Speaker 1: I'm pretty sure he ate a bunch of animals that 1175 01:10:50,640 --> 01:10:53,160 Speaker 1: he found on the Galapagos because he's like, I mean, 1176 01:10:53,200 --> 01:10:56,000 Speaker 1: these are new animals. I'm gonna I'm gonna nibble on 1177 01:10:56,120 --> 01:11:00,400 Speaker 1: him a little bit on taste them, you know, just 1178 01:11:00,479 --> 01:11:02,360 Speaker 1: a little taste, you know. 1179 01:11:02,439 --> 01:11:05,040 Speaker 2: I hear, I hear Punnett was eating the peas too, 1180 01:11:05,320 --> 01:11:09,840 Speaker 2: So yes, goes all the way down right right? 1181 01:11:10,720 --> 01:11:10,880 Speaker 3: Uh? 1182 01:11:12,720 --> 01:11:20,479 Speaker 1: Mindel that monster. Anyways, before we go, we gotta play 1183 01:11:20,640 --> 01:11:23,679 Speaker 1: a little game called Guess Who's squawk and the Mystery 1184 01:11:23,720 --> 01:11:24,720 Speaker 1: Animal Sound Game. 1185 01:11:25,280 --> 01:11:25,400 Speaker 3: Uh. 1186 01:11:25,600 --> 01:11:27,880 Speaker 1: This is where you the guest and you the listener, 1187 01:11:27,960 --> 01:11:32,000 Speaker 1: try to guess who is making this sound. Uh. And 1188 01:11:32,240 --> 01:11:36,160 Speaker 1: so the hint for last week was this little rock 1189 01:11:36,280 --> 01:11:43,320 Speaker 1: dweller is just saying hi. Another another hint is. 1190 01:11:43,360 --> 01:11:51,200 Speaker 3: This is related to the elephant. There we go, that 1191 01:11:51,400 --> 01:11:53,679 Speaker 3: lovely little that lovely little sound. 1192 01:11:53,760 --> 01:12:01,599 Speaker 1: Let's hear it again. All right, Ell you got any guesses. 1193 01:12:02,120 --> 01:12:03,360 Speaker 2: Well, I'm thinking it's a bird. 1194 01:12:05,960 --> 01:12:08,360 Speaker 1: I did say it's related to the elephants. 1195 01:12:08,479 --> 01:12:11,120 Speaker 2: So do you want to like adjust maybe not say 1196 01:12:11,160 --> 01:12:13,840 Speaker 2: it's a bird, it's related to the elephant. You're right, 1197 01:12:13,880 --> 01:12:16,080 Speaker 2: you're right, you're right, you're right, you're right. It seems 1198 01:12:16,120 --> 01:12:22,360 Speaker 2: unlikely it's related to the elephant. I didn't know elephants 1199 01:12:22,400 --> 01:12:25,600 Speaker 2: had relatives that were living. I know about I know 1200 01:12:25,640 --> 01:12:29,720 Speaker 2: about the mammoth, but those guys aren't around, right, it's 1201 01:12:29,840 --> 01:12:35,640 Speaker 2: very strange related to the elephant. Can I hear it 1202 01:12:35,680 --> 01:12:36,160 Speaker 2: one more time? 1203 01:12:36,520 --> 01:12:36,720 Speaker 1: Yeah? 1204 01:12:39,880 --> 01:12:40,240 Speaker 3: All right? 1205 01:12:40,320 --> 01:12:48,320 Speaker 2: Wow, related to the elephant. I have no idea. I 1206 01:12:48,400 --> 01:12:51,880 Speaker 2: want to say, like something like rhinoceros related, but we 1207 01:12:52,320 --> 01:12:54,200 Speaker 2: that's mostly just because we were talking about rhinos. 1208 01:12:54,479 --> 01:12:57,040 Speaker 1: We're just talking about rhinos, so I kind of prime 1209 01:12:57,120 --> 01:13:00,160 Speaker 1: the pump for rhinos. Uh. This is actually some thing 1210 01:13:00,240 --> 01:13:04,120 Speaker 1: called a rock hierax. They are found. 1211 01:13:05,479 --> 01:13:07,439 Speaker 2: I would not have gotten that. I'm gonna be honest 1212 01:13:07,479 --> 01:13:08,040 Speaker 2: with you, Katie. 1213 01:13:08,040 --> 01:13:11,880 Speaker 1: It's just this is a pokemon that I'm randomly throwing 1214 01:13:11,880 --> 01:13:14,280 Speaker 1: out there. No, they're found in the Middle East and 1215 01:13:14,439 --> 01:13:17,720 Speaker 1: in Africa, and they're actually related to elephants. Despite the 1216 01:13:17,800 --> 01:13:20,519 Speaker 1: fact that they're only around eleven pounds, which is about 1217 01:13:20,600 --> 01:13:26,760 Speaker 1: five kilograms of pure adorable fluff, they're super cute. They 1218 01:13:27,120 --> 01:13:29,479 Speaker 1: look like a little prairie dog that has this pair 1219 01:13:29,560 --> 01:13:36,320 Speaker 1: of tiny tusks. And they eat vegetables, vegetation and grubs, 1220 01:13:36,560 --> 01:13:40,799 Speaker 1: and they are super chill animals. They're actually more Timon 1221 01:13:40,920 --> 01:13:45,200 Speaker 1: and Pumba than like the species like meerkat and warthog 1222 01:13:45,320 --> 01:13:48,240 Speaker 1: that Timon and Pumba are based on, because rock higher 1223 01:13:48,280 --> 01:13:52,800 Speaker 1: exes have a very Kumbaya egalitarian society where they like 1224 01:13:53,000 --> 01:13:55,160 Speaker 1: form groups of friends where it's like the friend of 1225 01:13:55,240 --> 01:13:58,720 Speaker 1: my friend is my friend, and they trust each other, 1226 01:13:59,080 --> 01:14:01,760 Speaker 1: and they don't establish a hierarchy. There's not like a 1227 01:14:01,880 --> 01:14:04,800 Speaker 1: dominant one. Uh. They all seem to like have this 1228 01:14:04,960 --> 01:14:07,680 Speaker 1: kind of like commune and the reason that helps them 1229 01:14:07,800 --> 01:14:11,080 Speaker 1: is that they have such a spread out territory. And 1230 01:14:11,120 --> 01:14:14,200 Speaker 1: then they also face predators that if one starts to 1231 01:14:14,280 --> 01:14:17,360 Speaker 1: send off an alarm call, that will also spread to 1232 01:14:17,479 --> 01:14:20,320 Speaker 1: its buddies, who like from kind of a distance will 1233 01:14:20,320 --> 01:14:26,320 Speaker 1: be like, oh, you know, like Jenny just told me 1234 01:14:26,479 --> 01:14:31,720 Speaker 1: that like there's a leopard around, so I'm gonna send 1235 01:14:31,760 --> 01:14:35,400 Speaker 1: out an alarm call of my own, and so that's 1236 01:14:35,560 --> 01:14:40,519 Speaker 1: a Then it forms this like cool community of little keys. 1237 01:14:40,600 --> 01:14:44,440 Speaker 2: It's amazing. And you're saying, though they're related to elephants, 1238 01:14:44,560 --> 01:14:45,840 Speaker 2: that's why they have the little teeth. 1239 01:14:46,040 --> 01:14:49,960 Speaker 1: Their teeth are very similar. Yeah, they're tiny and they're adorable, 1240 01:14:50,240 --> 01:14:53,160 Speaker 1: but yes they are. They are related to elephants. They're 1241 01:14:53,160 --> 01:14:55,600 Speaker 1: one of the few living relatives of elephants. 1242 01:14:56,240 --> 01:15:00,559 Speaker 2: That's so beautiful. Yeah they're so small. Oh about their 1243 01:15:00,640 --> 01:15:02,200 Speaker 2: large their large cousins. 1244 01:15:02,640 --> 01:15:05,960 Speaker 1: I feel like someone should tell them and they should 1245 01:15:05,960 --> 01:15:10,200 Speaker 1: all be friends. I think so too, Like can you 1246 01:15:10,320 --> 01:15:13,200 Speaker 1: imagine like these little guys riding on top of an 1247 01:15:13,240 --> 01:15:15,320 Speaker 1: elephant just being like technically. 1248 01:15:14,920 --> 01:15:18,120 Speaker 2: I'm imagining it right now and it's making me emotional. 1249 01:15:20,960 --> 01:15:21,200 Speaker 3: Wow. 1250 01:15:21,479 --> 01:15:23,680 Speaker 1: Yeah, they're super cute. I also just love to hear 1251 01:15:23,720 --> 01:15:26,400 Speaker 1: about like people are always like, oh, well, you know, 1252 01:15:26,520 --> 01:15:29,920 Speaker 1: it's it's only natural to have like, you know, messed 1253 01:15:30,000 --> 01:15:32,960 Speaker 1: up societies where we have hierarchies where we're all mean 1254 01:15:33,000 --> 01:15:35,080 Speaker 1: to each other, and then the rock hier axes are 1255 01:15:35,240 --> 01:15:38,679 Speaker 1: out there being like we're all buddies and we're all friends. 1256 01:15:39,880 --> 01:15:44,559 Speaker 2: This is really important. Wow, thank you very well showing 1257 01:15:44,640 --> 01:15:45,640 Speaker 2: me this animal. 1258 01:15:46,720 --> 01:15:51,920 Speaker 1: So onto this week's mystery animal sound. The hint is this, uh, 1259 01:15:52,040 --> 01:16:04,439 Speaker 1: don't try to cut into this guy for breakfast. I 1260 01:16:04,479 --> 01:16:06,280 Speaker 1: feel like this one's kind of tough, so I'm also 1261 01:16:06,360 --> 01:16:08,519 Speaker 1: going to give a country. It is from New Zealand, 1262 01:16:09,760 --> 01:16:13,880 Speaker 1: New Zealand News Islands Island. 1263 01:16:14,960 --> 01:16:19,840 Speaker 2: Is it taicho? Y t T I wouldn't cut into 1264 01:16:19,880 --> 01:16:20,639 Speaker 2: him for breakfast. 1265 01:16:22,160 --> 01:16:24,439 Speaker 1: Doesn't sound like he wants. He doesn't seem to want 1266 01:16:24,439 --> 01:16:24,600 Speaker 1: to know. 1267 01:16:28,240 --> 01:16:31,880 Speaker 2: Hmm, don't cut into this guy for breakfast. What do 1268 01:16:31,960 --> 01:16:37,600 Speaker 2: people eat for breakfast? Like eggs and also fish? Sometimes 1269 01:16:38,320 --> 01:16:43,320 Speaker 2: you're cheerios cheerios which we eat with a fork and 1270 01:16:43,520 --> 01:16:49,519 Speaker 2: night which we eat with a fork in a night. Wow, 1271 01:16:49,600 --> 01:16:52,160 Speaker 2: that was such a horrifying sound. New Zealand. New Zealand 1272 01:16:52,240 --> 01:16:54,880 Speaker 2: is adjacent to Australia, which is where all of the 1273 01:16:54,960 --> 01:17:03,880 Speaker 2: scariest animals live. Yeah, I didn't know that New Zealand 1274 01:17:03,920 --> 01:17:06,599 Speaker 2: also housed such horrors. I think. 1275 01:17:06,680 --> 01:17:08,639 Speaker 1: I mean, it has a few horrors, but it definitely 1276 01:17:08,720 --> 01:17:12,560 Speaker 1: does feel like New Zealand is sort of like a 1277 01:17:12,680 --> 01:17:16,000 Speaker 1: more fun version of Australia or a friendlier version of 1278 01:17:16,520 --> 01:17:18,880 Speaker 1: Australia when it comes to animals. But there are there 1279 01:17:18,920 --> 01:17:22,720 Speaker 1: are a few stinkers. This one's actually not is I'll 1280 01:17:22,720 --> 01:17:25,840 Speaker 1: give another hint. This one is surprisingly not as scary 1281 01:17:25,880 --> 01:17:26,479 Speaker 1: as you would think. 1282 01:17:27,280 --> 01:17:30,679 Speaker 2: Not scary. Don't cut into him for breakfast, which means 1283 01:17:30,720 --> 01:17:33,240 Speaker 2: he sort of seems like something you might eat for breakfast. 1284 01:17:33,960 --> 01:17:37,040 Speaker 1: Yes, maybe, but you don't want You probably don't, but I. 1285 01:17:37,040 --> 01:17:37,640 Speaker 2: Wouldn't want to. 1286 01:17:37,920 --> 01:17:38,880 Speaker 1: No, you probably wouldn't want to. 1287 01:17:39,320 --> 01:17:45,120 Speaker 2: Oh, man, I have no idea again, well should I? 1288 01:17:45,720 --> 01:17:46,599 Speaker 3: Uh uh? 1289 01:17:48,520 --> 01:17:48,560 Speaker 1: Like? 1290 01:17:48,800 --> 01:17:51,160 Speaker 2: Is it a mammal? I'm gonna guess mammal of some kind? 1291 01:17:51,720 --> 01:17:54,840 Speaker 1: Well, we will find out if you are correct or 1292 01:17:54,920 --> 01:18:01,200 Speaker 1: close next week on Creature Future Major Cliffhanger. Ella, thank 1293 01:18:01,280 --> 01:18:04,840 Speaker 1: you so much for joining me today. Where can people 1294 01:18:05,080 --> 01:18:07,040 Speaker 1: find you? And all the cool stuff that you do? 1295 01:18:07,880 --> 01:18:09,679 Speaker 2: Thank you for having me. It's been so much fun. 1296 01:18:11,400 --> 01:18:15,160 Speaker 2: I'm on all the social media's. I'm Ella dot Yeerman 1297 01:18:15,240 --> 01:18:19,120 Speaker 2: on Instagram and Ella Yerman on Blue Sky and X 1298 01:18:19,240 --> 01:18:20,040 Speaker 2: the Everything app. 1299 01:18:20,920 --> 01:18:24,520 Speaker 1: My writing is Eggs, the everything app Eggs. 1300 01:18:24,280 --> 01:18:28,719 Speaker 2: The Everything App. My writing is all around the Internet. 1301 01:18:28,800 --> 01:18:31,360 Speaker 2: I just I wrote this profile of Vivian Wilson for 1302 01:18:31,439 --> 01:18:32,040 Speaker 2: teen Volks. 1303 01:18:32,120 --> 01:18:33,720 Speaker 1: Yes, yes, super good. 1304 01:18:33,800 --> 01:18:34,240 Speaker 2: I read it. 1305 01:18:35,280 --> 01:18:38,200 Speaker 1: It's amazing you, I mean probably everyone's heard of it 1306 01:18:38,320 --> 01:18:39,280 Speaker 1: because it was. 1307 01:18:39,800 --> 01:18:41,559 Speaker 2: Yeah, it's been it's been all over lately. 1308 01:18:43,160 --> 01:18:44,280 Speaker 1: Fantastic profile. 1309 01:18:44,920 --> 01:18:47,559 Speaker 2: Thank you. And then yeah, I write for some more 1310 01:18:47,680 --> 01:18:51,800 Speaker 2: news on YouTube and then I also host and self 1311 01:18:51,800 --> 01:18:56,080 Speaker 2: produce another political comedy news show called Going Down with 1312 01:18:56,160 --> 01:18:59,400 Speaker 2: Ella Yeerman. Also on YouTube and Instagram and x the 1313 01:18:59,439 --> 01:18:59,920 Speaker 2: everything app. 1314 01:19:00,080 --> 01:19:04,479 Speaker 1: But I can't imagine that just sounds so pessimistic, which 1315 01:19:04,520 --> 01:19:07,080 Speaker 1: seems so out of step with like where we're at, 1316 01:19:07,240 --> 01:19:07,880 Speaker 1: you know, like. 1317 01:19:08,000 --> 01:19:12,519 Speaker 2: Going, well, yeah, you know everything everything in politics is 1318 01:19:12,600 --> 01:19:14,000 Speaker 2: so good and cheery right now. 1319 01:19:14,240 --> 01:19:17,519 Speaker 1: So cheerful, and I just I just don't understand why. 1320 01:19:17,600 --> 01:19:20,439 Speaker 1: It's like there's nowhere up, there's nowhere but up from here. 1321 01:19:20,680 --> 01:19:22,240 Speaker 2: There's nowhere but up from here. 1322 01:19:23,640 --> 01:19:27,840 Speaker 1: But I'm joking, it's a it's a you should definitely 1323 01:19:27,920 --> 01:19:32,720 Speaker 1: check these things out, like she's an incredible writer and 1324 01:19:33,439 --> 01:19:38,880 Speaker 1: a great article, great somewhere news, great YouTube, YouTube projects. 1325 01:19:40,120 --> 01:19:41,960 Speaker 2: Thank you, thank you. Yeah, it's a lot of fun. 1326 01:19:42,040 --> 01:19:43,519 Speaker 2: I think that's it. That's where you can find me. 1327 01:19:45,040 --> 01:19:48,920 Speaker 1: And yeah, if you guys want to write to me 1328 01:19:49,240 --> 01:19:52,000 Speaker 1: because you think you know who the mystery animal sound is. 1329 01:19:52,200 --> 01:19:55,120 Speaker 1: If you have a question a picture of your guinea 1330 01:19:55,200 --> 01:19:58,560 Speaker 1: pig and a cowboy hat, you could write to me 1331 01:19:58,720 --> 01:20:02,559 Speaker 1: at Creature feature pot it gmail dot com. And if 1332 01:20:02,600 --> 01:20:05,920 Speaker 1: you're enjoying the show and you leave a rating or review, 1333 01:20:06,479 --> 01:20:10,280 Speaker 1: I super appreciate that. That's really tangibly helps and I 1334 01:20:10,360 --> 01:20:13,720 Speaker 1: love seeing feedback. And thanks to the priest Classics for 1335 01:20:13,800 --> 01:20:17,679 Speaker 1: their super awesome song XO. Lumina. Creature features a production 1336 01:20:17,720 --> 01:20:21,000 Speaker 1: of iHeartRadio. For more podcasts like the one you just heard, 1337 01:20:21,520 --> 01:20:24,719 Speaker 1: visit the iHeartRadio app Apple Podcast Hard Guess what, Baby, 1338 01:20:24,800 --> 01:20:27,799 Speaker 1: listen to your favorite show. I would judge you whatever 1339 01:20:27,920 --> 01:20:28,479 Speaker 1: you want to do. 1340 01:20:28,720 --> 01:20:29,040 Speaker 3: Baby. 1341 01:20:29,320 --> 01:20:31,840 Speaker 1: It's like, let's all be rock higher axes and just 1342 01:20:32,200 --> 01:20:36,680 Speaker 1: be friends and not judge each other for podcasting platforms. 1343 01:20:37,400 --> 01:20:39,160 Speaker 1: And I'll see you next Wednesday.