1 00:00:07,120 --> 00:00:10,920 Speaker 1: Welcome to Creature future production of iHeartRadio. I'm your host 2 00:00:10,960 --> 00:00:16,239 Speaker 1: of Many Parasites, Katie Golden. I studied psychology and evolutionary biology, 3 00:00:16,239 --> 00:00:20,840 Speaker 1: and today on the show Eurovarmns, we're talking about animals 4 00:00:20,880 --> 00:00:25,200 Speaker 1: who belong on stage at Eurovision or not. I guess 5 00:00:25,239 --> 00:00:28,760 Speaker 1: I'm being told that that is against the rules. So 6 00:00:29,040 --> 00:00:32,680 Speaker 1: why are we talking about Eurovision. Well, for starters, as 7 00:00:32,720 --> 00:00:35,559 Speaker 1: an immigrant living in Europe, I have become a convert 8 00:00:35,680 --> 00:00:39,519 Speaker 1: to Eurovision. And secondly, I am very excited to be 9 00:00:39,600 --> 00:00:43,600 Speaker 1: joined by the hosts of Eurovangelists, a podcast all about 10 00:00:43,600 --> 00:00:48,519 Speaker 1: Eurovision and why Americans should maybe start caring. Welcome Jeremy 11 00:00:48,560 --> 00:00:50,400 Speaker 1: Bent and Dmitri Pompeii. 12 00:00:51,840 --> 00:00:55,760 Speaker 2: Hello, thank you so much. Honored to be here. Guys. 13 00:00:55,800 --> 00:00:58,080 Speaker 1: Your podcast really speaks to me because until I moved 14 00:00:58,120 --> 00:01:02,200 Speaker 1: to Europe, I was like barely cognizant of Eurovision, and 15 00:01:02,240 --> 00:01:03,920 Speaker 1: now I love it. I watch it every year. 16 00:01:04,920 --> 00:01:08,760 Speaker 2: It's a very common American condition to be completely unaware 17 00:01:08,760 --> 00:01:11,759 Speaker 2: of your vision but then immediately upon finding out about it, 18 00:01:11,840 --> 00:01:13,080 Speaker 2: falling deeply in love with it. 19 00:01:13,760 --> 00:01:16,920 Speaker 1: Yeah, America brain is like I need to get groceries 20 00:01:17,000 --> 00:01:20,119 Speaker 1: for five weeks every time I go and not knowing 21 00:01:20,120 --> 00:01:21,840 Speaker 1: about Eurovision, yep. 22 00:01:21,920 --> 00:01:25,080 Speaker 2: Yeah, and then European brain is, oh, I'll just go 23 00:01:25,160 --> 00:01:27,800 Speaker 2: to the grocery store every two days, and then also 24 00:01:28,000 --> 00:01:31,320 Speaker 2: I will watch an international song competition every single year. 25 00:01:31,600 --> 00:01:34,520 Speaker 1: That's that's exactly what life is like here. 26 00:01:34,640 --> 00:01:37,119 Speaker 2: Yep, I figured as much. 27 00:01:37,200 --> 00:01:37,280 Speaker 3: So. 28 00:01:37,600 --> 00:01:39,560 Speaker 1: I mean, first of all, I just want to tell 29 00:01:39,600 --> 00:01:42,560 Speaker 1: the listeners and i''ll post links to these in the 30 00:01:42,600 --> 00:01:44,640 Speaker 1: show notes because it's so wonderful you guys shared with 31 00:01:44,680 --> 00:01:49,120 Speaker 1: me an entire list of Eurovision songs that are like 32 00:01:49,480 --> 00:01:54,360 Speaker 1: and have animals in them, and they're incredible. I both 33 00:01:54,400 --> 00:01:57,760 Speaker 1: thank you and curse you for that, because that penguin 34 00:01:57,920 --> 00:01:59,480 Speaker 1: song has been stuck in my head. 35 00:01:59,560 --> 00:02:09,639 Speaker 2: Oh boy, yeah, oh Bengal, it's it's yeah. I apologize 36 00:02:09,639 --> 00:02:12,840 Speaker 2: to your listeners because if they seek it out, it 37 00:02:12,960 --> 00:02:15,600 Speaker 2: is an earworm that never truly leaves you. 38 00:02:16,000 --> 00:02:19,160 Speaker 1: It's sort of like that arc thing in the Indiana 39 00:02:19,280 --> 00:02:21,440 Speaker 1: Jones series where you open it up and your space 40 00:02:21,560 --> 00:02:24,400 Speaker 1: melts off. But it's just like about a penguin. 41 00:02:24,480 --> 00:02:26,200 Speaker 2: And an old man in a penguin costume. 42 00:02:26,280 --> 00:02:30,920 Speaker 1: Oh man, that guy really really like really oscar worthy 43 00:02:30,919 --> 00:02:32,480 Speaker 1: penguin performance there. 44 00:02:33,120 --> 00:02:35,679 Speaker 2: Commits to the bit is what I'll say. 45 00:02:35,560 --> 00:02:38,240 Speaker 1: When was that, like, just give give me the rundown 46 00:02:38,280 --> 00:02:39,760 Speaker 1: on that. When when was that song? 47 00:02:40,480 --> 00:02:40,679 Speaker 2: Yeah? 48 00:02:41,280 --> 00:02:45,160 Speaker 3: That was nineteen that was nineteen eighty. That erovision nineteen eighty. 49 00:02:45,200 --> 00:02:48,840 Speaker 3: That was the entry from Luxembourg that year. Imagine, if 50 00:02:48,880 --> 00:02:52,480 Speaker 3: you will, dear listener, a pair of twins in space 51 00:02:52,600 --> 00:02:57,040 Speaker 3: age David Bowie esque could not be more sequence on 52 00:02:57,080 --> 00:02:57,640 Speaker 3: those suits. 53 00:02:57,720 --> 00:02:59,200 Speaker 1: Yeah, when space could adds. 54 00:03:00,440 --> 00:03:03,360 Speaker 3: They're singing a song about a penguin who wants to 55 00:03:03,400 --> 00:03:07,680 Speaker 3: travel the world and a very old man who I 56 00:03:07,720 --> 00:03:09,120 Speaker 3: believe wrote he can't. 57 00:03:08,919 --> 00:03:11,959 Speaker 1: Be more than sixty years old. Come on to me. 58 00:03:13,240 --> 00:03:14,320 Speaker 2: That's fair, that's fair. 59 00:03:14,560 --> 00:03:17,680 Speaker 3: He comes out dressed as a penguin and acts the 60 00:03:17,880 --> 00:03:21,560 Speaker 3: acts out the sawe. He's searching for meaning. He's dancing 61 00:03:21,639 --> 00:03:24,600 Speaker 3: around the twins at one point give him a spanking. 62 00:03:24,800 --> 00:03:25,320 Speaker 1: They did, you know. 63 00:03:25,560 --> 00:03:28,280 Speaker 3: It's cool and fun, it's cool and normal, and ultimately 64 00:03:28,280 --> 00:03:30,680 Speaker 3: the penguin decides that home is where the heart is 65 00:03:30,720 --> 00:03:32,720 Speaker 3: and he decides to return to his ice flow. 66 00:03:33,680 --> 00:03:36,760 Speaker 1: Well, also, there's like two hot lady penguins that are 67 00:03:37,040 --> 00:03:37,640 Speaker 1: backup seating. 68 00:03:38,160 --> 00:03:41,040 Speaker 2: Yeah, that's true. Dmitri, How did that do in nineteen 69 00:03:41,080 --> 00:03:46,520 Speaker 2: eighty That got ninth place? Wild. That's really good, pretty. 70 00:03:46,040 --> 00:03:50,000 Speaker 1: Good, incredible Eurovision. Like I can definitely see the slow 71 00:03:50,120 --> 00:03:54,320 Speaker 1: ratcheting up of the wackiness of Eurovision, where it probably 72 00:03:54,480 --> 00:03:56,720 Speaker 1: started off being a little more tame, like it's just 73 00:03:56,800 --> 00:04:00,000 Speaker 1: two sort of lovely ladies singing into a microphone, maybe 74 00:04:00,120 --> 00:04:03,880 Speaker 1: be swaying gently. And now we have like rotating cubes 75 00:04:03,920 --> 00:04:07,840 Speaker 1: that people are jumping around and they look it looks 76 00:04:07,840 --> 00:04:10,280 Speaker 1: like a bunch of wrestlers in a bathroom and they're 77 00:04:10,280 --> 00:04:13,280 Speaker 1: all kissing each other and it's beautiful and perfect and 78 00:04:13,320 --> 00:04:13,800 Speaker 1: I love it. 79 00:04:14,800 --> 00:04:18,960 Speaker 2: If you think Katie is just, you know, saying random things, 80 00:04:19,520 --> 00:04:22,360 Speaker 2: she is not. She is referring to specific performances from 81 00:04:22,440 --> 00:04:26,400 Speaker 2: last year's Eurovision, but it's very true. I think something 82 00:04:26,400 --> 00:04:28,440 Speaker 2: people don't realize about Eurovision is that it's been going 83 00:04:28,480 --> 00:04:33,880 Speaker 2: since nineteen fifty six and like nineteen fifty six Eurovision 84 00:04:34,080 --> 00:04:39,239 Speaker 2: is very sedate, is quite quite low key, and twenty 85 00:04:39,279 --> 00:04:42,000 Speaker 2: twenty four Eurovision, you'll find has a different flavor. 86 00:04:43,000 --> 00:04:45,839 Speaker 3: Yeah, I just I am a very proud pop popping 87 00:04:46,160 --> 00:04:49,159 Speaker 3: ranchow because Jeremy on our show is in fact the 88 00:04:49,200 --> 00:04:50,200 Speaker 3: Eurovision Nube. 89 00:04:50,279 --> 00:04:52,719 Speaker 2: That's true. He comes to the show at the least 90 00:04:52,720 --> 00:04:54,240 Speaker 2: amount of Eurovision knowledge. 91 00:04:54,720 --> 00:04:57,839 Speaker 3: Also, yeah, while on the other hand, I come in 92 00:04:58,040 --> 00:05:01,680 Speaker 3: with twenty years of your experiences. 93 00:05:01,720 --> 00:05:04,040 Speaker 2: Only through our show have I met people who know 94 00:05:04,120 --> 00:05:06,640 Speaker 2: more about Eurovision than Dmitri. And it's only a couple 95 00:05:06,720 --> 00:05:07,160 Speaker 2: of people. 96 00:05:08,240 --> 00:05:10,839 Speaker 3: And I am I am but a humble student. I 97 00:05:10,880 --> 00:05:13,520 Speaker 3: am not a pro. There are so many people out 98 00:05:13,520 --> 00:05:14,640 Speaker 3: there who know much. 99 00:05:14,440 --> 00:05:16,240 Speaker 2: More than I agree to disagree. 100 00:05:16,680 --> 00:05:18,360 Speaker 1: Are any of them Americans? 101 00:05:18,400 --> 00:05:18,599 Speaker 3: Though? 102 00:05:18,680 --> 00:05:21,440 Speaker 2: That's like no, I would argue not. 103 00:05:21,560 --> 00:05:23,599 Speaker 3: I would argue I can go toe to toe with 104 00:05:23,680 --> 00:05:24,680 Speaker 3: pretty much any America. 105 00:05:24,760 --> 00:05:27,159 Speaker 2: I would be impressed if I met someone from the 106 00:05:27,279 --> 00:05:30,000 Speaker 2: US who knew more about Eurovision than Dmitri, because we've 107 00:05:30,000 --> 00:05:32,360 Speaker 2: had a couple of guests, one from the UK, one 108 00:05:32,400 --> 00:05:37,839 Speaker 2: from Sweden who are extremely knowledgeable about Eurovision, but they're 109 00:05:37,880 --> 00:05:39,080 Speaker 2: sort of steeped in it, you know. 110 00:05:39,200 --> 00:05:42,880 Speaker 1: Yeah, they're euros so they know they have the vision. 111 00:05:43,000 --> 00:05:44,120 Speaker 2: Yeah they have the vision. 112 00:05:45,080 --> 00:05:48,720 Speaker 1: Yeah. Well one more common about the penguin song, and then. 113 00:05:48,600 --> 00:05:51,480 Speaker 2: I'll forget no, no, it's hard to let go. 114 00:05:51,680 --> 00:05:55,000 Speaker 1: It is about a father penguin, like abandoning his family, 115 00:05:55,320 --> 00:05:58,279 Speaker 1: and I would just like to say that you know 116 00:05:58,440 --> 00:06:02,000 Speaker 1: a lot of penguin species, the father penguin is actually 117 00:06:02,080 --> 00:06:02,840 Speaker 1: quite an attentive. 118 00:06:03,200 --> 00:06:04,200 Speaker 2: They would never do that. 119 00:06:04,400 --> 00:06:08,040 Speaker 1: Yeah, you will sit on the egg. The emperor penguins famously, 120 00:06:08,160 --> 00:06:11,240 Speaker 1: and in other penguin species as well, the male penguin 121 00:06:11,560 --> 00:06:15,440 Speaker 1: gingerly takes care of the egg as well as the 122 00:06:15,440 --> 00:06:18,520 Speaker 1: female penguin. But it is a joint venture there. But 123 00:06:18,720 --> 00:06:23,280 Speaker 1: speaking of birds, let's talk about our first. Let's call 124 00:06:23,320 --> 00:06:26,919 Speaker 1: them contestants. These are animals, folks, but they are on 125 00:06:27,680 --> 00:06:31,040 Speaker 1: It's not really contained to Europe, but it is. I 126 00:06:31,080 --> 00:06:33,800 Speaker 1: think they belong on the Eurovision stage just because of 127 00:06:33,839 --> 00:06:37,280 Speaker 1: the flamboyants, because if you have if you can know, 128 00:06:37,560 --> 00:06:41,880 Speaker 1: like just one thing about Eurovision is it's not necessarily 129 00:06:41,880 --> 00:06:44,880 Speaker 1: about the best music in the world. It's about the 130 00:06:44,920 --> 00:06:49,599 Speaker 1: most outrageous spectacle that can be put on a physical 131 00:06:49,640 --> 00:06:54,760 Speaker 1: stage for you. Have you guys heard of frigate birds? 132 00:06:55,680 --> 00:06:59,680 Speaker 2: Frigate never like the ship a frigate Yes, like the 133 00:06:59,720 --> 00:07:07,880 Speaker 2: ship Okay, they know they know if it was something else, absolutely. 134 00:07:07,320 --> 00:07:10,240 Speaker 1: No, yeah, yeah, forget. 135 00:07:10,120 --> 00:07:13,840 Speaker 2: Bird oh yeah yeah, frigate birds birds you know, like 136 00:07:13,880 --> 00:07:15,840 Speaker 2: when a bird takes a dump on you to go 137 00:07:16,000 --> 00:07:17,640 Speaker 2: frigate bird bird. 138 00:07:18,120 --> 00:07:23,080 Speaker 1: Yes. So they are found in Barbuda, an island in 139 00:07:23,120 --> 00:07:31,320 Speaker 1: the Caribbean, so they are. They participate from August to October, 140 00:07:31,600 --> 00:07:33,880 Speaker 1: so by the time you're listening to this, they probably 141 00:07:33,880 --> 00:07:37,360 Speaker 1: are still going uh there is an important song and 142 00:07:37,520 --> 00:07:38,640 Speaker 1: dance competition. 143 00:07:39,320 --> 00:07:42,160 Speaker 2: Oh okay, now we're so. 144 00:07:43,120 --> 00:07:48,520 Speaker 1: They put on this incredible show during this mating season, 145 00:07:48,600 --> 00:07:53,880 Speaker 1: this magnificent frigate bird mating LC. I'm not hyping them up. 146 00:07:54,200 --> 00:08:01,120 Speaker 1: That species is actually called magnificent frigatebirds and they do indeed, Wow, 147 00:08:01,040 --> 00:08:03,440 Speaker 1: how are you Their performances in something called a lek, 148 00:08:03,560 --> 00:08:08,240 Speaker 1: which is a large stage in which groups of males 149 00:08:08,280 --> 00:08:10,840 Speaker 1: show off their talents competing with each other. 150 00:08:11,760 --> 00:08:13,920 Speaker 2: This is fantastic, amazing, you know. 151 00:08:14,160 --> 00:08:18,040 Speaker 3: If I may make an early Eurovision connection to these birds. 152 00:08:18,080 --> 00:08:20,880 Speaker 3: One of the greatest Eurovision songs of all time is 153 00:08:20,920 --> 00:08:23,440 Speaker 3: the two thousand and nine winning song fairy Tale by 154 00:08:23,480 --> 00:08:27,040 Speaker 3: Alexander Reebuk. It is a Norwegian song and the stage 155 00:08:27,080 --> 00:08:29,760 Speaker 3: performance of the song is literally what you describe. 156 00:08:29,840 --> 00:08:30,560 Speaker 2: That is true. 157 00:08:30,600 --> 00:08:33,760 Speaker 3: Actually it is the It is the port performance of 158 00:08:33,800 --> 00:08:37,000 Speaker 3: what is called the hauling, a tradition in the Nordic 159 00:08:37,000 --> 00:08:40,920 Speaker 3: countries in which men do all sorts of ridiculous physical 160 00:08:41,000 --> 00:08:44,320 Speaker 3: feats to impress women so they'll marry them. 161 00:08:44,400 --> 00:08:48,400 Speaker 1: I didn't realize that Norwegians had lex That's fascinating. 162 00:08:49,760 --> 00:08:52,960 Speaker 2: They like the act that they specifically are performing in 163 00:08:53,000 --> 00:08:57,800 Speaker 2: Alexander Reriebuks reforming is kicking hats off a broom, right well, yeah, 164 00:08:57,840 --> 00:09:01,680 Speaker 2: and that's a thing, that's the real thing that Yeah. 165 00:09:01,280 --> 00:09:04,720 Speaker 1: Maybe that's measuring their physical fitness and ability to sire 166 00:09:04,840 --> 00:09:05,720 Speaker 1: strong children. 167 00:09:06,920 --> 00:09:08,640 Speaker 2: I mean, I will say the guys doing it on 168 00:09:08,720 --> 00:09:11,480 Speaker 2: stage are fit. They are in great shape. I don't 169 00:09:11,480 --> 00:09:13,559 Speaker 2: think I could do what they are doing kick a hat. 170 00:09:13,720 --> 00:09:15,439 Speaker 2: I'm not with that negative attitude. You can. 171 00:09:16,200 --> 00:09:17,600 Speaker 1: I don't know. I kind of feel like I could 172 00:09:17,720 --> 00:09:19,880 Speaker 1: kick a hat off a broom, don't you think? 173 00:09:19,960 --> 00:09:21,440 Speaker 2: But there you got to watch these guys. 174 00:09:21,200 --> 00:09:23,400 Speaker 1: Do it all right, well special, It's just. 175 00:09:23,400 --> 00:09:25,959 Speaker 3: Nice to know that the Animal Kingdom, you know, perhaps 176 00:09:26,000 --> 00:09:29,920 Speaker 3: inspired Norwegian men like, look, those birds have a whole 177 00:09:29,920 --> 00:09:32,280 Speaker 3: stage performance and look at all the chicks they're getting. 178 00:09:32,280 --> 00:09:36,959 Speaker 2: We should do that. I will also say. I will 179 00:09:37,000 --> 00:09:40,160 Speaker 2: also say I have looked up the Magnificent frigate Bird 180 00:09:40,440 --> 00:09:43,400 Speaker 2: and they got a look that would play on a 181 00:09:43,400 --> 00:09:44,960 Speaker 2: Eurovision stage, is what I will say. 182 00:09:45,440 --> 00:09:49,920 Speaker 1: It's angular. They kind of look like a brutalist architecture. 183 00:09:50,000 --> 00:09:55,840 Speaker 2: So Yeah, excellent, strong color story they're telling here. Oh wow, right, 184 00:09:56,040 --> 00:09:59,080 Speaker 2: just looked it up too. Wow. Okay, due's plant for 185 00:09:59,120 --> 00:10:02,160 Speaker 2: the frigate. A lot of drama in that look, is 186 00:10:02,160 --> 00:10:02,800 Speaker 2: what I'll say. 187 00:10:02,880 --> 00:10:07,720 Speaker 1: It's high fashion culture, so I will paint you a 188 00:10:08,040 --> 00:10:12,120 Speaker 1: verbal picture with my word mouth. The largest of their genus, 189 00:10:12,160 --> 00:10:17,040 Speaker 1: the magnificent frigatebird, are sea birds with shiny black feathers, 190 00:10:17,520 --> 00:10:21,880 Speaker 1: a long, hooked beak, and forked tails similar to a swallow. 191 00:10:22,280 --> 00:10:25,320 Speaker 1: They have a wingspan of up to eight feet long, 192 00:10:25,360 --> 00:10:29,440 Speaker 1: which is two point four meters for my European friends, 193 00:10:29,880 --> 00:10:33,280 Speaker 1: and weighs around three pounds, which is over one and 194 00:10:33,320 --> 00:10:38,400 Speaker 1: a half kilograms, so not too heavy but very large, 195 00:10:38,720 --> 00:10:42,800 Speaker 1: perfect for flying about. They have these elegant angles and 196 00:10:42,920 --> 00:10:46,720 Speaker 1: curves like some kind of weird, chunky European race car, 197 00:10:47,040 --> 00:10:51,160 Speaker 1: which allows them to fly up to ninety five miles 198 00:10:51,200 --> 00:10:54,640 Speaker 1: per hour, which is about one hundred and fifty three 199 00:10:54,920 --> 00:10:58,720 Speaker 1: kilometers per hour. Now that speed is probably going to 200 00:10:58,760 --> 00:11:04,200 Speaker 1: be achieved while they are diving, and they are. They're 201 00:11:04,320 --> 00:11:06,520 Speaker 1: very elegant, but they're also menacing. They look a bit 202 00:11:06,600 --> 00:11:11,120 Speaker 1: like pterodactyls, and indeed they terrorize fish and other birds 203 00:11:11,240 --> 00:11:15,640 Speaker 1: that they steal their catches from so they are both 204 00:11:15,679 --> 00:11:20,880 Speaker 1: pirates and hunters until the males decide they want to 205 00:11:20,880 --> 00:11:25,120 Speaker 1: get down with the females. Then they turn into red balloons. 206 00:11:26,480 --> 00:11:32,679 Speaker 2: The pirrating apparently not attractive to the females, but I 207 00:11:33,080 --> 00:11:35,520 Speaker 2: will say I was like, you can tell that this 208 00:11:35,600 --> 00:11:40,760 Speaker 2: is some sort of like sexual attraction characteristic for the frigatebird. 209 00:11:41,200 --> 00:11:44,360 Speaker 2: The male frigatebirds seem to have this like giant red 210 00:11:44,400 --> 00:11:47,160 Speaker 2: balloon under their neck. This is wild. 211 00:11:47,520 --> 00:11:50,160 Speaker 1: This is an inflatable goal or pouch. Now I'm going 212 00:11:50,200 --> 00:11:52,800 Speaker 1: to touch back on the piracy issue here. 213 00:11:52,720 --> 00:11:53,720 Speaker 2: With females later. 214 00:11:54,520 --> 00:11:56,600 Speaker 1: You don't get away with anything on this show. This 215 00:11:56,640 --> 00:11:57,920 Speaker 1: show is about facts. 216 00:11:58,559 --> 00:12:00,120 Speaker 2: Nice try bird. 217 00:12:00,160 --> 00:12:05,959 Speaker 1: Your feelings about birds. So, yeah, the males have something 218 00:12:06,000 --> 00:12:09,480 Speaker 1: called a gol or pouch, and that's this beautiful red sack. 219 00:12:10,360 --> 00:12:14,400 Speaker 1: They inflate it and it's this bright clown nose red 220 00:12:14,640 --> 00:12:17,960 Speaker 1: and they pump it full of air. It forms this 221 00:12:18,040 --> 00:12:21,400 Speaker 1: big red balloon, big and flashy, catches the attention of 222 00:12:21,480 --> 00:12:25,160 Speaker 1: females that are flying overhead, and they do this incredible 223 00:12:25,160 --> 00:12:30,079 Speaker 1: performance with their wings outstretched and then they make this 224 00:12:30,559 --> 00:12:34,720 Speaker 1: sound that is like, well, I'm just gonna let you listen. 225 00:12:34,840 --> 00:12:37,000 Speaker 2: Okay, I'm curious. Yeah, here we go. 226 00:12:37,320 --> 00:12:40,559 Speaker 1: So this is from the Cornell Lab of Ornithology. 227 00:12:40,080 --> 00:12:42,760 Speaker 2: One of our best ornithology labs, one. 228 00:12:42,600 --> 00:12:49,120 Speaker 1: Of our best. And this is was recorded by Martha Fisher. 229 00:12:50,160 --> 00:12:55,560 Speaker 1: So here we go the magnificent frigatebird, who sounds very 230 00:12:55,840 --> 00:13:14,080 Speaker 1: amazing and good. Are you feeling sexually attracted to these birds? 231 00:13:14,920 --> 00:13:15,120 Speaker 2: You know? 232 00:13:15,280 --> 00:13:17,600 Speaker 3: I'm just gonna throw it out here. That is the 233 00:13:17,640 --> 00:13:19,240 Speaker 3: bubble wrap of sounds like. 234 00:13:19,360 --> 00:13:19,960 Speaker 2: I like it. 235 00:13:20,000 --> 00:13:20,560 Speaker 1: It's nice. 236 00:13:20,600 --> 00:13:22,920 Speaker 2: I listen to that for a while. I actually do 237 00:13:23,040 --> 00:13:25,960 Speaker 2: like that sound. I will say, based on the ballooning, 238 00:13:26,640 --> 00:13:32,040 Speaker 2: I expected a very different sound sound. I was expecting 239 00:13:32,040 --> 00:13:35,280 Speaker 2: more of a honk or or a sort of like 240 00:13:35,840 --> 00:13:37,560 Speaker 2: you know when you blow up a balloon and you 241 00:13:37,600 --> 00:13:40,800 Speaker 2: just let it go around a room. Yeah, like like 242 00:13:40,920 --> 00:13:43,360 Speaker 2: kind of an that sound. Because you think this is 243 00:13:43,400 --> 00:13:46,920 Speaker 2: a Looney Tunes character, I mean, I mean you got it. 244 00:13:47,000 --> 00:13:49,000 Speaker 2: In some ways. It is a Loony Tunes It is 245 00:13:49,480 --> 00:13:49,880 Speaker 2: take a. 246 00:13:49,880 --> 00:13:53,040 Speaker 1: Pen in one of these guys and see what happens. 247 00:13:53,160 --> 00:13:55,000 Speaker 2: Oh, don't do that. They're not going to enjoy that. 248 00:13:55,200 --> 00:13:58,439 Speaker 1: No animal's cruelty is highly discouraged on this show. 249 00:13:59,040 --> 00:14:00,000 Speaker 2: But I am curious. 250 00:14:00,440 --> 00:14:04,679 Speaker 1: So they will, so it is incredible to see. I 251 00:14:04,679 --> 00:14:06,800 Speaker 1: do all include a link to it in the show notes. 252 00:14:06,840 --> 00:14:10,720 Speaker 1: But they have this wonderful display. Their wings are outstretched, 253 00:14:10,720 --> 00:14:13,520 Speaker 1: they cut this striking figure, big red balloon, and they're 254 00:14:13,559 --> 00:14:16,800 Speaker 1: making this like sort of weird like bubble wrap sound 255 00:14:16,840 --> 00:14:19,400 Speaker 1: like you said. I love that description of it. And 256 00:14:20,120 --> 00:14:23,080 Speaker 1: they are not only trying to attract females based on 257 00:14:23,240 --> 00:14:27,040 Speaker 1: their performance, their song and this kind of like you know, 258 00:14:28,280 --> 00:14:31,200 Speaker 1: swishing around kind of dance thing that they're doing, they 259 00:14:31,280 --> 00:14:35,480 Speaker 1: have also competed to secure the best spots in the 260 00:14:35,560 --> 00:14:39,360 Speaker 1: mangrove trees on which they are doing their performance. So 261 00:14:39,400 --> 00:14:41,920 Speaker 1: it's this big group and these mangrove trees are so 262 00:14:42,080 --> 00:14:44,920 Speaker 1: close together that it forms it almost looks like just 263 00:14:44,960 --> 00:14:48,480 Speaker 1: this giant group of like hedgy bushes. And then in 264 00:14:49,000 --> 00:14:52,120 Speaker 1: like sort of situated in them are so many of 265 00:14:52,160 --> 00:14:56,160 Speaker 1: these males, like hundreds of them all together, and they 266 00:14:56,320 --> 00:15:00,000 Speaker 1: are buying for a really nice position on these mangrove trees, 267 00:15:00,000 --> 00:15:04,280 Speaker 1: trees where they will build their nests. And the females 268 00:15:04,440 --> 00:15:08,480 Speaker 1: all are the judges, just like in real life, and 269 00:15:09,040 --> 00:15:13,960 Speaker 1: they circle above like these vultures looking for love, and 270 00:15:14,160 --> 00:15:17,560 Speaker 1: they browse for their preferred males, and they select them 271 00:15:17,640 --> 00:15:21,760 Speaker 1: for them based on the call that they make, how beautiful, 272 00:15:21,840 --> 00:15:26,240 Speaker 1: bright and bouncy that weird pouches, and also how good 273 00:15:26,320 --> 00:15:30,520 Speaker 1: their spot is where they are roosting on these mangrove trees. 274 00:15:31,840 --> 00:15:37,320 Speaker 3: Yeah, okay, let me get this straight beautiful plumage song 275 00:15:37,880 --> 00:15:40,160 Speaker 3: that could that sounds like nothing you've ever heard in 276 00:15:40,240 --> 00:15:45,200 Speaker 3: the world. Competing for a higher rank or location or placement, 277 00:15:45,880 --> 00:15:46,400 Speaker 3: this is this. 278 00:15:46,400 --> 00:15:50,320 Speaker 2: Is trying to curry favor with the judges. It's right, 279 00:15:50,840 --> 00:15:54,520 Speaker 2: it's this is your v And I'll also say I 280 00:15:54,560 --> 00:15:56,840 Speaker 2: also looked up mangrove tree because I was like, what 281 00:15:56,880 --> 00:15:59,480 Speaker 2: does a mangrove tree look like? It looks like a 282 00:15:59,560 --> 00:16:05,560 Speaker 2: set of Eurovision song very visually distinctive. I'm like, okay, 283 00:16:05,600 --> 00:16:06,760 Speaker 2: this is all coming together. 284 00:16:07,240 --> 00:16:10,040 Speaker 1: Yes, it is that they have such really they are 285 00:16:11,600 --> 00:16:16,600 Speaker 1: semi aquatic trees actually, yeah, brackish water their roots. 286 00:16:16,360 --> 00:16:18,680 Speaker 2: Which most trees can't stand at all. 287 00:16:18,760 --> 00:16:21,400 Speaker 1: Yeah, that their roots will actually dip into the water. 288 00:16:21,600 --> 00:16:25,840 Speaker 1: One of the most incredible experiences I've ever had was 289 00:16:26,280 --> 00:16:30,200 Speaker 1: this was a long time ago. This This was in 290 00:16:30,280 --> 00:16:35,160 Speaker 1: like twenty I'm gonna say twenty two thousand and nine 291 00:16:35,240 --> 00:16:38,480 Speaker 1: or twenty ten and I was in Puerto Rico and 292 00:16:38,640 --> 00:16:43,600 Speaker 1: there was a kayak tour of this mangrove forest and 293 00:16:43,840 --> 00:16:47,760 Speaker 1: it was during a season where there were these bioluminescent 294 00:16:48,000 --> 00:16:54,560 Speaker 1: diatoms dinoflagellis sorry, and they were like every time you 295 00:16:54,560 --> 00:16:57,560 Speaker 1: would paddle the kayak, you'd see this blue flash in 296 00:16:57,600 --> 00:17:00,000 Speaker 1: the water. They are all these mangrove trees where they're 297 00:17:00,080 --> 00:17:02,920 Speaker 1: roots were dipped into the water. I felt like I 298 00:17:02,960 --> 00:17:06,199 Speaker 1: was about to have like an almost kiss with a 299 00:17:06,280 --> 00:17:09,960 Speaker 1: prince and an evil octopus. I don't know, it felt magical. 300 00:17:10,560 --> 00:17:14,760 Speaker 2: Sure you'd trade your voice for that kind of scenario. 301 00:17:15,040 --> 00:17:17,080 Speaker 1: There we go. I want a man who doesn't care 302 00:17:17,119 --> 00:17:18,240 Speaker 1: what I say or think. 303 00:17:19,000 --> 00:17:21,760 Speaker 2: So, yeah, it would be best if she couldn't speak. 304 00:17:21,560 --> 00:17:24,800 Speaker 1: At all, right, body language, you know, if she just 305 00:17:24,880 --> 00:17:28,359 Speaker 1: knew ASL, then all things would. 306 00:17:28,080 --> 00:17:31,200 Speaker 2: Have been or just write in any language. 307 00:17:30,960 --> 00:17:37,400 Speaker 1: Right yeah? Or gestures you know, like you know octopus, 308 00:17:37,520 --> 00:17:41,000 Speaker 1: wiggle your arms kind of big, giant, bad, evil octopus. 309 00:17:41,080 --> 00:17:43,600 Speaker 1: I feel like I could, you know, everyone, I. 310 00:17:43,520 --> 00:17:46,080 Speaker 2: Would be curious to see the ASL for a witch 311 00:17:46,119 --> 00:17:48,600 Speaker 2: stole my voice. 312 00:17:49,560 --> 00:17:55,080 Speaker 1: Divine stole my voice. Yeah, So I did want to 313 00:17:55,080 --> 00:17:59,479 Speaker 1: touch on an earlier thing you said, Jeremy, I'm going 314 00:17:59,520 --> 00:18:00,200 Speaker 1: to grill you. 315 00:18:00,240 --> 00:18:02,600 Speaker 2: Get ready, okay, Grilly. You said that the. 316 00:18:02,560 --> 00:18:05,600 Speaker 1: Females aren't attracted to piracy, and that may or may 317 00:18:05,640 --> 00:18:08,360 Speaker 1: not be true. But the females are actually the bigger 318 00:18:08,400 --> 00:18:12,200 Speaker 1: pirates than the males. They are literally bigger, and they're 319 00:18:12,440 --> 00:18:15,639 Speaker 1: better pirates. So they are larger than the males in 320 00:18:15,720 --> 00:18:19,000 Speaker 1: part because they do the majority of raising the chicks, 321 00:18:19,400 --> 00:18:21,560 Speaker 1: and they must be tough enough to be able to 322 00:18:21,640 --> 00:18:24,679 Speaker 1: murder a bunch of fish or steal enough fish to 323 00:18:24,720 --> 00:18:27,959 Speaker 1: feed themselves and the chicks. Before you get mad at 324 00:18:28,000 --> 00:18:31,560 Speaker 1: the fathers, they aren't actually the worst fathers. They will 325 00:18:31,720 --> 00:18:33,960 Speaker 1: build the nests. So they help build the nests, okay, 326 00:18:34,119 --> 00:18:37,440 Speaker 1: gather all the time. That's they also help incubate the eggs. 327 00:18:38,440 --> 00:18:40,600 Speaker 1: It's just once the eggs hatch, they're like, all right, 328 00:18:41,040 --> 00:18:43,359 Speaker 1: I'm out of here, Like that's that. Part of my 329 00:18:43,440 --> 00:18:44,040 Speaker 1: life is over. 330 00:18:44,640 --> 00:18:46,800 Speaker 2: I gotta be working on my performance for next year. 331 00:18:47,080 --> 00:18:49,920 Speaker 1: Yeah exactly. I mean to be fair to them, Yes, 332 00:18:49,960 --> 00:18:52,600 Speaker 1: they work very hard on their performances, very hard on 333 00:18:52,760 --> 00:18:56,400 Speaker 1: constructing the nests. But yeah, you see, Actually it's very interesting. 334 00:18:56,440 --> 00:18:59,200 Speaker 1: With a lot of bird species, you have different types 335 00:18:59,240 --> 00:19:02,879 Speaker 1: of relationship where some are monogamous for their whole lives, 336 00:19:02,880 --> 00:19:05,840 Speaker 1: some are monogamous over a breeding season, some are just 337 00:19:06,680 --> 00:19:11,160 Speaker 1: no rules, only what feels good. And sometimes you have 338 00:19:11,280 --> 00:19:14,440 Speaker 1: parental care that's shared by the birds. And often sea 339 00:19:14,560 --> 00:19:18,640 Speaker 1: birds can be quite similar. This kind of sexual dimorphism, 340 00:19:18,680 --> 00:19:19,600 Speaker 1: where one. 341 00:19:19,480 --> 00:19:21,120 Speaker 2: Is one of my favorite phrases. 342 00:19:21,280 --> 00:19:23,480 Speaker 1: Oh yeah, sexual dimorphism. 343 00:19:23,440 --> 00:19:25,000 Speaker 2: What a great sound. 344 00:19:25,080 --> 00:19:28,800 Speaker 1: Yes, it just means that the two sexes look different 345 00:19:29,480 --> 00:19:32,440 Speaker 1: and so like for a lot of aquatic birds. A 346 00:19:32,480 --> 00:19:35,400 Speaker 1: lot of sea birds, especially like the males and females 347 00:19:35,440 --> 00:19:37,879 Speaker 1: are fairly similar, and a lot of that has to 348 00:19:37,920 --> 00:19:41,399 Speaker 1: do with the fact that they both take care of 349 00:19:41,440 --> 00:19:43,720 Speaker 1: the offspring. And you really only see this kind of 350 00:19:43,760 --> 00:19:49,399 Speaker 1: sexual dimorphism when you have one member who is really 351 00:19:49,640 --> 00:19:52,320 Speaker 1: investing a lot more into the care of the offspring, 352 00:19:52,359 --> 00:19:55,840 Speaker 1: because then the other sex, right, the males in that case, 353 00:19:55,920 --> 00:19:58,880 Speaker 1: have to really prove their worth to these females otherwise 354 00:19:58,880 --> 00:20:01,639 Speaker 1: the females are going to be left with this offspring. 355 00:20:01,640 --> 00:20:06,000 Speaker 1: Whereas in other species of birds like albatrosses are very similar. 356 00:20:06,320 --> 00:20:09,800 Speaker 1: There are a lot of seabirds that actually both try 357 00:20:09,840 --> 00:20:13,680 Speaker 1: to impress each other, like puffins, and in these cases 358 00:20:13,720 --> 00:20:17,080 Speaker 1: it's because they both will raise and take care of 359 00:20:17,119 --> 00:20:19,600 Speaker 1: the egg, and both the male and the female are 360 00:20:19,640 --> 00:20:22,080 Speaker 1: trying to assess each other for whether they're going to 361 00:20:22,160 --> 00:20:24,840 Speaker 1: be good parents, rather than just the female trying to 362 00:20:24,880 --> 00:20:28,440 Speaker 1: assess whether the male is really physically fit and is 363 00:20:28,520 --> 00:20:31,040 Speaker 1: gonna stick around long enough to build that nest and 364 00:20:31,080 --> 00:20:33,600 Speaker 1: incubate the egg and then pass on really good genes. 365 00:20:33,640 --> 00:20:36,320 Speaker 1: So it's all that, you know, it's there's so many 366 00:20:36,359 --> 00:20:39,320 Speaker 1: different dynamics in these birds. And I love this example 367 00:20:39,440 --> 00:20:42,960 Speaker 1: of these frigatebirds. I'm sorry, magnificent frigatebirds. 368 00:20:43,000 --> 00:20:48,080 Speaker 2: There's these respect to the frigatebird. Please, I will, yeah, 369 00:20:48,160 --> 00:20:52,199 Speaker 2: Because it's like like even among primates, like gorillas have 370 00:20:52,280 --> 00:20:55,040 Speaker 2: like a really strong sexual dimorsism where it's like male 371 00:20:55,080 --> 00:20:58,160 Speaker 2: gorillas are sort of huge, but then like bonobos, which 372 00:20:58,160 --> 00:21:01,760 Speaker 2: are sort of closer to humans, are like pretty like 373 00:21:01,800 --> 00:21:03,679 Speaker 2: the males are a little bit bigger, but it's the 374 00:21:03,720 --> 00:21:08,400 Speaker 2: difference is quite small. But because they're a very social primate, 375 00:21:08,760 --> 00:21:11,680 Speaker 2: where like kind of both male and female are doing 376 00:21:11,720 --> 00:21:15,919 Speaker 2: all of the you know, all of the humping they do. 377 00:21:17,119 --> 00:21:18,680 Speaker 2: Like I said, they're a very social animal. 378 00:21:19,720 --> 00:21:22,880 Speaker 3: I think the main takeaway here, especially for you notorious 379 00:21:22,920 --> 00:21:24,000 Speaker 3: woman hater Jeremy. 380 00:21:24,040 --> 00:21:25,399 Speaker 2: Then, is that. 381 00:21:26,960 --> 00:21:30,280 Speaker 3: Is that you know, piracy is not limited by your 382 00:21:30,359 --> 00:21:35,080 Speaker 3: gender in Jeremy, Yeah, women can do anything. 383 00:21:35,200 --> 00:21:39,119 Speaker 2: Jeremy. I said that women weren't attracted to the piracy, 384 00:21:39,240 --> 00:21:41,520 Speaker 2: and that's born out because it turns out that women 385 00:21:41,600 --> 00:21:48,040 Speaker 2: are doing the piracy. But that is an excellent point. Uh, 386 00:21:49,680 --> 00:21:56,400 Speaker 2: They're like, there's a really good Uh, Katie, I'm sure 387 00:21:56,400 --> 00:21:59,480 Speaker 2: you are familiar with the anthropologist David Graber. 388 00:22:00,160 --> 00:22:01,080 Speaker 1: Just tell just tell me. 389 00:22:02,800 --> 00:22:06,760 Speaker 2: Well, he he talked about like, uh, Dawn of Everything 390 00:22:06,840 --> 00:22:10,520 Speaker 2: is like his is this massive, massive book that is 391 00:22:10,560 --> 00:22:14,919 Speaker 2: basically all about how like the Enlightenment in Europe was 392 00:22:14,960 --> 00:22:17,199 Speaker 2: basically like, oh, they went to America and saw how 393 00:22:17,280 --> 00:22:19,720 Speaker 2: Native Americans lived and then brought back all these new 394 00:22:19,800 --> 00:22:24,480 Speaker 2: ideas that like really smart Europeans came up with. And 395 00:22:24,480 --> 00:22:25,160 Speaker 2: then it turned out. 396 00:22:25,080 --> 00:22:28,840 Speaker 3: It's just like let's not burn down everything, yeah, restoring 397 00:22:28,880 --> 00:22:30,720 Speaker 3: the environment. Yeah, And it turns out like, hey, if 398 00:22:30,760 --> 00:22:33,239 Speaker 3: you like teach everyone how to do everything and like 399 00:22:33,320 --> 00:22:36,200 Speaker 3: live collectively, it's very it's much easier and people are 400 00:22:36,240 --> 00:22:41,560 Speaker 3: happier and so like. But one of the examples is 401 00:22:41,600 --> 00:22:47,040 Speaker 3: like there's this sort of like pirate oasis that is 402 00:22:47,080 --> 00:22:50,159 Speaker 3: one of his examples, and it is largely like women 403 00:22:50,440 --> 00:22:52,360 Speaker 3: pirates who are like running things. 404 00:22:53,520 --> 00:22:55,520 Speaker 2: It's wild. It's a fantastic book. 405 00:22:55,600 --> 00:22:57,639 Speaker 1: Yeah, there's a lot of different that. There's a lot 406 00:22:57,640 --> 00:23:00,760 Speaker 1: of cultures in humans where you do you see a 407 00:23:00,800 --> 00:23:03,840 Speaker 1: glimpse into like, yeah, we don't like it's not that 408 00:23:04,560 --> 00:23:08,240 Speaker 1: sort of our typical patriarchal culture that we have. I 409 00:23:08,280 --> 00:23:10,000 Speaker 1: could go on a huge rant, and I won't because 410 00:23:10,040 --> 00:23:13,320 Speaker 1: otherwise I'll get bad podcast reviews. But yeah, you can 411 00:23:13,359 --> 00:23:15,960 Speaker 1: definitely see you can definitely see a lot of really 412 00:23:16,000 --> 00:23:19,360 Speaker 1: interesting human cultures. That does indicate that, Yeah, no, things 413 00:23:19,359 --> 00:23:22,480 Speaker 1: are quite a bit more complex than just like you know, 414 00:23:22,960 --> 00:23:26,600 Speaker 1: man goes out, hits a sabertooth tiger on the head 415 00:23:26,600 --> 00:23:27,880 Speaker 1: and drags it back into the cave. 416 00:23:28,520 --> 00:23:30,199 Speaker 2: Yeah, there's a little bit more at play here, a. 417 00:23:30,160 --> 00:23:33,200 Speaker 1: Little bit more at play. Although man going out hitting 418 00:23:33,200 --> 00:23:35,600 Speaker 1: a sabertooth tiger on the head and dragging it back 419 00:23:35,640 --> 00:23:37,800 Speaker 1: to a cave does sound like something that would happen 420 00:23:37,840 --> 00:23:40,720 Speaker 1: in Eurovision, except that the cave would be a dirty 421 00:23:40,720 --> 00:23:43,840 Speaker 1: bathroom and the sabertooth tiger would be a bunch of 422 00:23:44,320 --> 00:23:46,280 Speaker 1: naked wrestlers who are kissing each other. 423 00:23:47,200 --> 00:23:50,080 Speaker 2: Yeah, that'll honestly checks out sounds accurate. 424 00:23:50,440 --> 00:23:52,320 Speaker 1: All right, Well, we're going to take a quick break 425 00:23:52,320 --> 00:23:54,800 Speaker 1: while you process what I just said, and when we 426 00:23:54,880 --> 00:24:00,320 Speaker 1: get back, we're going to talk about another wonderful contest 427 00:24:00,359 --> 00:24:03,720 Speaker 1: who is coming in to a genre of music that 428 00:24:03,880 --> 00:24:07,600 Speaker 1: is one of my favorite. All Right, guys, I don't 429 00:24:07,600 --> 00:24:10,560 Speaker 1: know if you know this about me, but I really 430 00:24:10,680 --> 00:24:18,959 Speaker 1: like metal, not the you know element or periodic table element, 431 00:24:19,040 --> 00:24:23,880 Speaker 1: but you know, uh, the the sort of musical genre. 432 00:24:25,680 --> 00:24:28,879 Speaker 2: Well you're in luck because in the last ten or 433 00:24:28,880 --> 00:24:32,280 Speaker 2: twenty years at Eurovision there has been a I would 434 00:24:32,320 --> 00:24:35,560 Speaker 2: say a pretty strong current of metal running through the show. 435 00:24:35,680 --> 00:24:38,440 Speaker 3: Yeah, I mean I would say I would say it's 436 00:24:38,680 --> 00:24:41,720 Speaker 3: it was it was just nothing and then truly zero 437 00:24:41,800 --> 00:24:44,240 Speaker 3: and it hasn't left, and then it won in two 438 00:24:44,280 --> 00:24:46,200 Speaker 3: thousand and six, and then it has been a big 439 00:24:46,240 --> 00:24:47,040 Speaker 3: part of it since then. 440 00:24:47,640 --> 00:24:57,360 Speaker 1: Yeah. I was really there was the god, uh the what. 441 00:24:55,680 --> 00:25:01,679 Speaker 2: Was I assume you're money the oh oh at at 442 00:25:01,760 --> 00:25:09,040 Speaker 2: Paris Olympics. Yeah, yeah, oh god, what is that band 443 00:25:09,320 --> 00:25:10,119 Speaker 2: not go Jiro? 444 00:25:10,280 --> 00:25:10,560 Speaker 1: Is it? 445 00:25:10,840 --> 00:25:12,000 Speaker 2: Yeah? Yeah it is Gojira. 446 00:25:13,280 --> 00:25:16,879 Speaker 1: Yeah, and so uh, I thought it was great. They 447 00:25:16,880 --> 00:25:19,280 Speaker 1: did a great performance and it made me feel happy. 448 00:25:19,280 --> 00:25:21,680 Speaker 1: Because it's like, man, Europe is really like I feel 449 00:25:21,720 --> 00:25:25,440 Speaker 1: like metal is becoming a lot more like just mainstream, 450 00:25:25,480 --> 00:25:28,520 Speaker 1: which I'm yeah, totally, I'm not one of these people. 451 00:25:28,920 --> 00:25:30,840 Speaker 1: I don't want it to become mainstream. That's good. I 452 00:25:30,880 --> 00:25:32,720 Speaker 1: want to hear more of it and have it. 453 00:25:32,560 --> 00:25:36,520 Speaker 2: And also like go Jira, a very well regarded French 454 00:25:36,720 --> 00:25:39,560 Speaker 2: metal band, like of the bands that you could have 455 00:25:39,640 --> 00:25:43,920 Speaker 2: put in the Olympics opening ceremonies to play metal. Yeah, 456 00:25:44,119 --> 00:25:46,360 Speaker 2: GoJ You're an excellent choice, very very good. 457 00:25:46,440 --> 00:25:48,600 Speaker 3: This is the official call out to go Jira. Give 458 00:25:48,600 --> 00:25:50,480 Speaker 3: it a try, give your vision a shot. You know 459 00:25:50,720 --> 00:25:52,560 Speaker 3: you got the money, you can do it. 460 00:25:52,760 --> 00:25:55,080 Speaker 2: I believe in you. Risk it. Guys. 461 00:25:57,240 --> 00:25:59,000 Speaker 1: Yeah, I don't know. They might feel like that's kind 462 00:25:59,000 --> 00:26:02,520 Speaker 1: of a reach, but yeah, the the but they had 463 00:26:02,520 --> 00:26:05,520 Speaker 1: a beautiful performance. And the thing that made me angry 464 00:26:05,680 --> 00:26:08,920 Speaker 1: was that I think it was the like the was 465 00:26:09,080 --> 00:26:12,360 Speaker 1: it was either like the Canadian broadcast or the Yeah, 466 00:26:12,359 --> 00:26:16,040 Speaker 1: I think it was the Canadian broadcasters kept talking over 467 00:26:16,760 --> 00:26:22,440 Speaker 1: the and I well, like they would not do that 468 00:26:22,480 --> 00:26:24,920 Speaker 1: for any of the other musical acts. But like there's 469 00:26:25,000 --> 00:26:28,399 Speaker 1: this assumption that oh, because it's metal, that's just background noise. 470 00:26:28,440 --> 00:26:31,359 Speaker 1: We can talk now and it's like, guys, it's like music. 471 00:26:31,480 --> 00:26:34,520 Speaker 1: Also look Mary Antoinette, just like art form. Mary Antoinette 472 00:26:34,560 --> 00:26:37,000 Speaker 1: has like streamers coming out of her neck hole that 473 00:26:37,040 --> 00:26:39,200 Speaker 1: look like blood. It's so cool, Like, shut up, I 474 00:26:39,240 --> 00:26:40,160 Speaker 1: want to watch this. 475 00:26:41,119 --> 00:26:45,160 Speaker 3: Absolutely like metal is a one of the greatest Eurovision songs, 476 00:26:45,520 --> 00:26:48,000 Speaker 3: not even there's there's been some great metal songs, but 477 00:26:48,000 --> 00:26:50,560 Speaker 3: I'm thinking of the one that occurred in twenty nineteen. 478 00:26:51,119 --> 00:26:51,840 Speaker 2: This is called it. 479 00:26:51,880 --> 00:26:56,200 Speaker 3: This is Hittari's song, and it's basically a song about 480 00:26:56,240 --> 00:26:59,639 Speaker 3: how evil will prevail. And they imagine this world in 481 00:26:59,640 --> 00:27:02,400 Speaker 3: which all the worst things have happened. The worst people 482 00:27:02,480 --> 00:27:06,080 Speaker 3: are running every country, the climate has collapsed, the environment 483 00:27:06,119 --> 00:27:07,800 Speaker 3: is unbreathable, evil has. 484 00:27:07,640 --> 00:27:11,520 Speaker 2: Efficient what an impossible scenario, especially in twenty nineteen. 485 00:27:11,920 --> 00:27:16,080 Speaker 3: I know, shocking truly, And then there's there's a there's 486 00:27:16,119 --> 00:27:18,320 Speaker 3: a little fleck of hope at the end of the 487 00:27:18,320 --> 00:27:21,359 Speaker 3: song is like this doesn't have to happen, we don't 488 00:27:21,440 --> 00:27:24,800 Speaker 3: have to let this occur. It's a metal song that 489 00:27:24,960 --> 00:27:28,320 Speaker 3: on its glance, at first glance, could be terrifying or 490 00:27:28,359 --> 00:27:32,120 Speaker 3: confusing or unsettling, which it is, but it also has 491 00:27:32,119 --> 00:27:34,720 Speaker 3: something beautiful to say about not giving up hope and 492 00:27:34,880 --> 00:27:37,400 Speaker 3: making improvements to the world in which we live. 493 00:27:37,520 --> 00:27:38,280 Speaker 2: I mean this is. 494 00:27:38,280 --> 00:27:40,399 Speaker 1: An art form, yeah, absolutely, I mean there are a 495 00:27:40,440 --> 00:27:44,320 Speaker 1: lot of metal I mean, personally, my choice of metal 496 00:27:44,320 --> 00:27:46,600 Speaker 1: bands tend to be like progressive metal, so it's already 497 00:27:46,600 --> 00:27:51,040 Speaker 1: a little more soft, a little more ethereal. But like, yeah, 498 00:27:51,040 --> 00:27:52,920 Speaker 1: there's definitely a lot of like metal bands. Where you're 499 00:27:52,920 --> 00:27:55,800 Speaker 1: listening to it, it sounds super scary, like they're gonna 500 00:27:56,040 --> 00:27:58,840 Speaker 1: tell you something about how like satan is, you know, 501 00:27:58,880 --> 00:28:00,760 Speaker 1: eating your eyeballs or something, But then it turns out 502 00:28:00,800 --> 00:28:03,879 Speaker 1: it has like a pro environment is or yeah, like 503 00:28:04,119 --> 00:28:06,440 Speaker 1: it could be something about like hey, you should join 504 00:28:06,440 --> 00:28:10,040 Speaker 1: a union, or like hey, the environment is cool. But 505 00:28:10,080 --> 00:28:11,800 Speaker 1: they're just singing it in this kind of like rob 506 00:28:13,200 --> 00:28:16,159 Speaker 1: no voice, and that's you know, we're going to do 507 00:28:16,200 --> 00:28:16,560 Speaker 1: that again. 508 00:28:16,640 --> 00:28:20,000 Speaker 2: By the way, my brother in law is a is 509 00:28:20,040 --> 00:28:24,600 Speaker 2: a very very good musician, but specifically bass player. Like 510 00:28:25,480 --> 00:28:28,000 Speaker 2: I've seen him play based many times with a number 511 00:28:28,000 --> 00:28:29,920 Speaker 2: of different bands, and I think the only bass player 512 00:28:29,960 --> 00:28:31,760 Speaker 2: I've ever seen in real life who I think is 513 00:28:31,800 --> 00:28:37,560 Speaker 2: better than him his Thundercat. But he currently tours with 514 00:28:37,840 --> 00:28:40,840 Speaker 2: a band called Number twelve. Looks just like you which 515 00:28:40,920 --> 00:28:45,600 Speaker 2: is taken from a Twilight Zone episode and actually truly 516 00:28:45,640 --> 00:28:48,960 Speaker 2: one of my all time favorite Twilight Zone episodes. But 517 00:28:49,080 --> 00:28:51,680 Speaker 2: they're they're a pretty long running metal band that has 518 00:28:51,760 --> 00:28:56,280 Speaker 2: that kind of vocal and like I went to see 519 00:28:56,280 --> 00:28:58,719 Speaker 2: them when they played in La because he was he 520 00:28:58,800 --> 00:29:03,760 Speaker 2: was staying at our apartment, and like that kind of 521 00:29:03,840 --> 00:29:06,240 Speaker 2: vocal does turn me off a little bit, but also 522 00:29:06,280 --> 00:29:10,360 Speaker 2: the music is really good, So yeah. 523 00:29:09,200 --> 00:29:11,959 Speaker 1: I get it, though, I get your perspective. 524 00:29:12,280 --> 00:29:14,240 Speaker 2: Yeah, but I but I think metal is like is 525 00:29:14,800 --> 00:29:18,000 Speaker 2: like pretty much every genre of music. Like we all 526 00:29:18,080 --> 00:29:20,120 Speaker 2: had friends in college who are like, I listened to 527 00:29:20,200 --> 00:29:23,720 Speaker 2: everything except country and rap, right. It was like that 528 00:29:23,840 --> 00:29:26,320 Speaker 2: was such a thing in the two thousands where it 529 00:29:26,120 --> 00:29:28,920 Speaker 2: was like, yeah, but there is good country music and 530 00:29:28,960 --> 00:29:31,240 Speaker 2: there is good rap music. You just don't want to 531 00:29:31,520 --> 00:29:33,640 Speaker 2: identify with those genre. 532 00:29:34,080 --> 00:29:36,600 Speaker 1: Well, but like it's also just like I only I 533 00:29:36,880 --> 00:29:41,360 Speaker 1: don't listen to like essentially like music that's poetry and 534 00:29:41,480 --> 00:29:45,680 Speaker 1: music that has I don't know, any sort of rural 535 00:29:45,720 --> 00:29:47,760 Speaker 1: element to it. And then you're like, if you put 536 00:29:47,800 --> 00:29:49,560 Speaker 1: it that way, then it's like, Okay, that's really weird. 537 00:29:49,600 --> 00:29:51,440 Speaker 3: Though, what do you mean, Yeah, that's messed up, dude, 538 00:29:52,280 --> 00:29:54,080 Speaker 3: exclusively Gregorian Chit. 539 00:29:54,680 --> 00:29:57,640 Speaker 2: Yeah, no joke that I'm interested. I will say I'm 540 00:29:57,640 --> 00:29:59,880 Speaker 2: interested in that guy. What's that guy? I thought? 541 00:30:00,240 --> 00:30:04,520 Speaker 1: Sleep to gregoryan Chance though, Oh sure, I do mess 542 00:30:04,560 --> 00:30:06,760 Speaker 1: around with Gregory and Chance, But I do mess around 543 00:30:06,760 --> 00:30:09,400 Speaker 1: with all music because I think all music can be good. 544 00:30:09,520 --> 00:30:13,239 Speaker 2: I completely agree, because it's like because like, yeah, it's like, 545 00:30:13,280 --> 00:30:15,760 Speaker 2: do I love all country music? It's like, no, I'm 546 00:30:15,800 --> 00:30:17,760 Speaker 2: not going to rep for like bro country, but I'm 547 00:30:17,760 --> 00:30:19,600 Speaker 2: also not going to pretend that I don't listen to 548 00:30:19,640 --> 00:30:22,240 Speaker 2: like Willie Nelson or like Orville Peck for a more 549 00:30:22,280 --> 00:30:26,480 Speaker 2: recently part, Dolly park God's Sake Dolly part like. 550 00:30:26,400 --> 00:30:28,840 Speaker 1: If you don't like Dolly Porton, there's something wrong with you, 551 00:30:29,120 --> 00:30:30,000 Speaker 1: But obviously. 552 00:30:29,800 --> 00:30:32,280 Speaker 2: Most of them like anyway, we'll get into our country 553 00:30:32,320 --> 00:30:34,200 Speaker 2: discussion on a different podcast, But yeah, I. 554 00:30:34,200 --> 00:30:37,240 Speaker 1: Understand maybe like that so that that type of voice 555 00:30:37,280 --> 00:30:39,760 Speaker 1: is called a death growl, and it does not appeal 556 00:30:39,800 --> 00:30:42,400 Speaker 1: to everyone. I get it, Like I like, I do 557 00:30:42,520 --> 00:30:45,720 Speaker 1: like progressive metal the most, and there's not as much 558 00:30:45,760 --> 00:30:49,240 Speaker 1: death growl in that, but some metal is really primarily 559 00:30:49,640 --> 00:30:53,000 Speaker 1: that death grawl, and a really good death growl I 560 00:30:53,040 --> 00:30:56,480 Speaker 1: think can be really exciting when I hear it too much, 561 00:30:56,520 --> 00:31:00,080 Speaker 1: my own throat starts to hurt, kind of in sympathy. 562 00:31:00,280 --> 00:31:05,320 Speaker 1: But there is our next Eurovarmint competition entrant is one 563 00:31:05,360 --> 00:31:08,440 Speaker 1: of the world's best heavy metal death growlers. 564 00:31:08,680 --> 00:31:11,040 Speaker 2: Oh okay, okay. 565 00:31:10,600 --> 00:31:12,560 Speaker 1: Can you guys just like guess, like, what what what 566 00:31:12,600 --> 00:31:14,360 Speaker 1: do you think would be the best at this? 567 00:31:14,560 --> 00:31:17,200 Speaker 2: Well? I have I have seen the death metal Rooster 568 00:31:17,520 --> 00:31:21,680 Speaker 2: video where they've edited some heavy metal riffs under a 569 00:31:21,760 --> 00:31:25,080 Speaker 2: rooster going pretty full out, and it does work, you 570 00:31:25,120 --> 00:31:25,720 Speaker 2: know what I mean? 571 00:31:26,080 --> 00:31:28,480 Speaker 1: Have you seen me? Have you seen the animal version 572 00:31:28,600 --> 00:31:31,400 Speaker 1: of let the bodies hit the floor with the bodies. 573 00:31:31,280 --> 00:31:34,959 Speaker 2: But sounds great? Well, look the look that up. 574 00:31:35,520 --> 00:31:39,840 Speaker 1: Anyways, the best animal who just really masters this death 575 00:31:39,880 --> 00:31:43,040 Speaker 1: growl is the howler monkey. Have you guys heard of hower? 576 00:31:43,480 --> 00:31:46,200 Speaker 3: Yeah, of course, yes, yes, that was right there on 577 00:31:46,240 --> 00:31:49,200 Speaker 3: the in the name, much like the magnificent friggin bird. 578 00:31:49,320 --> 00:31:52,320 Speaker 2: Yet they're not giving it away. They are giving it. Yeah, 579 00:31:52,360 --> 00:31:55,640 Speaker 2: there's no mystery here. Yeah, these howls the howler monkeys. 580 00:31:55,680 --> 00:31:58,560 Speaker 1: Yeah, these are called the kick ass howler monkeys. That's 581 00:31:58,600 --> 00:32:03,840 Speaker 1: their literal form, So howler monkeys. They are actually multiple 582 00:32:03,840 --> 00:32:07,080 Speaker 1: species of howler monkeys. They are a genus of monkey 583 00:32:07,200 --> 00:32:10,560 Speaker 1: who live in South America and the tropics. They are 584 00:32:10,800 --> 00:32:15,800 Speaker 1: capable of incredible death growls, incredible sounds. There are many 585 00:32:15,880 --> 00:32:18,960 Speaker 1: species like I mentioned, with fur ranging from black to 586 00:32:19,000 --> 00:32:24,120 Speaker 1: brown to red like red red fur. It's really really pretty. 587 00:32:24,800 --> 00:32:28,640 Speaker 1: They have these wide set faces, these large shaggy jowls, 588 00:32:28,640 --> 00:32:31,280 Speaker 1: and they grow from around two to three feet, which 589 00:32:31,480 --> 00:32:34,960 Speaker 1: is about sixty to ninety centimeters, not including their tail, 590 00:32:34,960 --> 00:32:36,880 Speaker 1: which is super long as well. They have a long, 591 00:32:36,960 --> 00:32:40,280 Speaker 1: prehensile tail. They live in the trees, and of course 592 00:32:40,600 --> 00:32:44,080 Speaker 1: they howl. So I am going to let you listen 593 00:32:44,120 --> 00:32:46,560 Speaker 1: to this. This is a red howler monkey from the 594 00:32:46,640 --> 00:32:57,480 Speaker 1: Houston Zoo. 595 00:33:00,760 --> 00:33:04,520 Speaker 2: Like it works, Yeah right. 596 00:33:03,720 --> 00:33:06,000 Speaker 3: We put you this way. My best friend in the 597 00:33:06,040 --> 00:33:08,120 Speaker 3: world is actually in a metal band. He's the lead 598 00:33:08,160 --> 00:33:10,200 Speaker 3: singer Great American Ghosts. 599 00:33:10,280 --> 00:33:10,800 Speaker 2: Check him out. 600 00:33:11,960 --> 00:33:14,440 Speaker 3: I want to tell him to go down to the 601 00:33:14,520 --> 00:33:17,200 Speaker 3: Houston Zoo and pick this monkey up and put him 602 00:33:17,240 --> 00:33:20,560 Speaker 3: on the next album because that was terrifying and I 603 00:33:20,600 --> 00:33:21,080 Speaker 3: loved it. 604 00:33:22,360 --> 00:33:27,480 Speaker 1: Yes, it's fantastic. So they make these wonderful, wonderful death 605 00:33:27,520 --> 00:33:31,680 Speaker 1: growls that can be very very loud as well heard 606 00:33:31,760 --> 00:33:36,000 Speaker 1: over long, long distances, and so in this case, it 607 00:33:36,080 --> 00:33:39,160 Speaker 1: is mostly the males doing this. I'm sad to say 608 00:33:39,200 --> 00:33:42,560 Speaker 1: that in real life and in how well, I guess 609 00:33:42,560 --> 00:33:45,760 Speaker 1: howler monkeys are also real life, but in human metal 610 00:33:45,800 --> 00:33:50,320 Speaker 1: bands and monkey metal bands, males dominate the death growling space. 611 00:33:50,320 --> 00:33:54,840 Speaker 1: Although there are some very accomplished female death growlers out there, 612 00:33:55,160 --> 00:33:57,880 Speaker 1: I mean, just look them up. I can't remember their 613 00:33:57,960 --> 00:34:01,080 Speaker 1: names because I don't have Dimitri's brain can remember everything. 614 00:34:02,960 --> 00:34:06,920 Speaker 2: Our greatest resource on euro evangelists. I try my best, 615 00:34:07,000 --> 00:34:07,760 Speaker 2: Thank you so much. 616 00:34:08,160 --> 00:34:11,440 Speaker 1: So. Typically males are larger than females and they do 617 00:34:11,520 --> 00:34:15,920 Speaker 1: the majority of this loud howling, and they do it 618 00:34:16,040 --> 00:34:19,920 Speaker 1: to attract females to stake out their territory. It is 619 00:34:20,160 --> 00:34:24,319 Speaker 1: a form of communication that can be from like hey, 620 00:34:24,600 --> 00:34:27,080 Speaker 1: I'm a hot sexy male, come check me out, to 621 00:34:27,800 --> 00:34:31,640 Speaker 1: like back off, this is my area, to like, hey, 622 00:34:31,680 --> 00:34:36,839 Speaker 1: I'm over here, what's up? So many different types of communications. 623 00:34:36,280 --> 00:34:38,560 Speaker 3: Somebody ways to communicate? How many ways kind of goes 624 00:34:38,560 --> 00:34:43,200 Speaker 3: into the whole death growl you know, art form, because 625 00:34:43,280 --> 00:34:46,479 Speaker 3: even in the music, it's not always anger that's being 626 00:34:46,520 --> 00:34:49,960 Speaker 3: portrayed here. It often is, but it is there's so 627 00:34:49,960 --> 00:34:53,480 Speaker 3: many different messages that you can communicate through. Through that 628 00:34:53,600 --> 00:34:55,960 Speaker 3: type of singing. So I'm glad to know that the 629 00:34:56,000 --> 00:34:59,160 Speaker 3: animal kingdom operates exactly the same way, and I hope 630 00:34:59,200 --> 00:35:03,200 Speaker 3: it's incredibly a thing because the type in my humble experience, 631 00:35:03,200 --> 00:35:05,560 Speaker 3: the type of women who like that music are always 632 00:35:05,600 --> 00:35:09,520 Speaker 3: really cool. So yeah, yeah, cowler monkeys are the same way. 633 00:35:09,760 --> 00:35:13,879 Speaker 1: In my experience. Yes, women who like metal are very cool. 634 00:35:16,360 --> 00:35:18,400 Speaker 2: Little homersm there, that's okay. 635 00:35:18,680 --> 00:35:23,759 Speaker 1: So the yeah. So there are essentially two types of 636 00:35:24,080 --> 00:35:28,680 Speaker 1: howler monkey social groups among these species, and this gets 637 00:35:28,680 --> 00:35:33,000 Speaker 1: into really interesting kind of It's a great detail that 638 00:35:33,080 --> 00:35:35,400 Speaker 1: I love to talk about because it teaches you a 639 00:35:35,400 --> 00:35:39,919 Speaker 1: lot about evolution and it's also silly. So there are 640 00:35:40,400 --> 00:35:43,360 Speaker 1: social groups in some species where there's basically one male 641 00:35:44,040 --> 00:35:46,600 Speaker 1: who has a bunch of females. Will call them groupies. 642 00:35:46,680 --> 00:35:49,680 Speaker 1: I don't know, it's just it's a it's a mating structure, 643 00:35:50,160 --> 00:35:54,000 Speaker 1: and he will have a really, really loud howl. 644 00:35:54,840 --> 00:35:56,680 Speaker 2: It is not it is not our place to judge 645 00:35:56,680 --> 00:35:58,000 Speaker 2: the howler monkey polycule. 646 00:35:58,239 --> 00:36:04,240 Speaker 1: Look man strokes for different folks, different howls for different monkeys. 647 00:36:04,600 --> 00:36:09,319 Speaker 1: So the other social group style is multiple males that 648 00:36:09,440 --> 00:36:12,319 Speaker 1: don't maybe have as powerful of a howl, and then 649 00:36:12,400 --> 00:36:16,439 Speaker 1: multiple females, So you know, another just a different type 650 00:36:16,480 --> 00:36:18,839 Speaker 1: of polycule. One's a little more mormon, one's a little 651 00:36:18,920 --> 00:36:19,920 Speaker 1: more like tumbler. 652 00:36:20,760 --> 00:36:21,920 Speaker 2: Okay, sure. 653 00:36:24,120 --> 00:36:29,600 Speaker 1: They So the living situation actually depends on two of 654 00:36:29,680 --> 00:36:34,480 Speaker 1: the male's body parts, the hyoid bone and the testes. 655 00:36:34,800 --> 00:36:36,960 Speaker 1: So I guess that. I mean, you could say that's 656 00:36:36,960 --> 00:36:39,359 Speaker 1: three body parts. But okay, the hyoid bone and the 657 00:36:39,400 --> 00:36:43,880 Speaker 1: testes testies. I don't know if I need to explain it. 658 00:36:43,920 --> 00:36:46,719 Speaker 3: If I do, if you're I went to school in America, 659 00:36:46,800 --> 00:36:48,200 Speaker 3: can you explain what the testes do? 660 00:36:48,600 --> 00:36:51,600 Speaker 1: The testes are an organ that produce sperm, which are 661 00:36:51,760 --> 00:36:55,960 Speaker 1: the genetic messengers that are used to pass down the 662 00:36:56,040 --> 00:37:00,239 Speaker 1: genes of the male howler monkey hopefully to the next generation. 663 00:37:00,360 --> 00:37:04,640 Speaker 1: So very important. Now, the hyoid bone I probably don't 664 00:37:04,640 --> 00:37:06,560 Speaker 1: even need to explain that. Everyone's familiar with. 665 00:37:06,760 --> 00:37:08,480 Speaker 2: I'm well acquainted with the highway. 666 00:37:08,520 --> 00:37:12,320 Speaker 3: Who among us has not encountered the hyoid bone? 667 00:37:12,840 --> 00:37:15,320 Speaker 2: But I guess, I guess if a young person is listening, 668 00:37:15,400 --> 00:37:18,799 Speaker 2: but maybe the children in the audience who don't know it. 669 00:37:18,840 --> 00:37:20,840 Speaker 1: Yet, A baby out there doesn't know what a hired 670 00:37:20,880 --> 00:37:25,080 Speaker 1: bone is is found in mammals, including humans. You've got 671 00:37:25,080 --> 00:37:29,640 Speaker 1: one too, unless something's wrong and it helps inkor you 672 00:37:29,960 --> 00:37:31,400 Speaker 1: sure you're looking around. 673 00:37:33,560 --> 00:37:35,400 Speaker 2: Reach for your hyoid bone right now. 674 00:37:35,880 --> 00:37:39,160 Speaker 3: Uh oh nosing. 675 00:37:40,239 --> 00:37:44,440 Speaker 1: So it is a bone that helps anchor our tongues, 676 00:37:44,600 --> 00:37:48,160 Speaker 1: lower mouth, and larynx. It's actually the only bone in 677 00:37:48,160 --> 00:37:52,160 Speaker 1: the human body that isn't attached to another bone. If 678 00:37:52,160 --> 00:37:55,960 Speaker 1: everything's proceeding, is typical for human body. 679 00:37:56,160 --> 00:37:58,439 Speaker 2: So just a loose sky just floating around. 680 00:37:58,640 --> 00:38:01,320 Speaker 1: It's a loose guy just floating around. It's attached to muscles, 681 00:38:01,880 --> 00:38:04,200 Speaker 1: not attached to other bones. So it's short of sort 682 00:38:04,239 --> 00:38:06,440 Speaker 1: of shaped like the forehead of an ox. It's got 683 00:38:06,440 --> 00:38:10,360 Speaker 1: these two horn like structures. And the hyoid bone shape 684 00:38:10,760 --> 00:38:13,880 Speaker 1: determines things from like it helps us swallow, It keeps 685 00:38:13,920 --> 00:38:19,600 Speaker 1: our tongues anchored down. It also helps our larynx function. 686 00:38:19,760 --> 00:38:24,640 Speaker 1: And so in these hawler monkeys, the size of the 687 00:38:24,719 --> 00:38:28,520 Speaker 1: hyoid bone, I mean, in all how howler monkey males, 688 00:38:28,520 --> 00:38:32,200 Speaker 1: actually the hyoid bone is quite in large. It's very big. 689 00:38:32,760 --> 00:38:37,600 Speaker 1: And so the bigger the hyoid bone, the louder the call. 690 00:38:38,840 --> 00:38:43,840 Speaker 1: So in haler monkeys that have these really really loud culls, 691 00:38:44,000 --> 00:38:46,200 Speaker 1: and then they basically have this sort of like you know, 692 00:38:46,640 --> 00:38:49,840 Speaker 1: the mormon structure of like one male in a polecule 693 00:38:50,120 --> 00:38:53,480 Speaker 1: with a bunch of females. They have this huge hyoid bone. 694 00:38:53,520 --> 00:38:55,920 Speaker 1: But guys, there's a cust Can you guess what that is? 695 00:38:58,560 --> 00:39:01,640 Speaker 3: I'd imagine that having such a huge high odbone kind 696 00:39:01,640 --> 00:39:04,640 Speaker 3: of limits what else can be done with the vocals. 697 00:39:04,680 --> 00:39:06,799 Speaker 3: Imagine it's howling and maybe nothing else. 698 00:39:06,840 --> 00:39:10,120 Speaker 1: Maybe that I mean, they don't talk for sure, But you. 699 00:39:10,120 --> 00:39:11,759 Speaker 2: Remember how that's the only reason why. 700 00:39:11,800 --> 00:39:14,719 Speaker 1: I mean, you remember when I mentioned these testes. There's 701 00:39:14,760 --> 00:39:17,279 Speaker 1: a simple little rhyme you can use to remember it. 702 00:39:17,680 --> 00:39:22,080 Speaker 1: The louder the call, the smaller the balls. So, uh, 703 00:39:22,960 --> 00:39:27,480 Speaker 1: the testes size is inversely correlated with the hyoid bone size. 704 00:39:27,480 --> 00:39:31,360 Speaker 1: So the bigger the hyoid bone actually the smaller the testes. 705 00:39:31,480 --> 00:39:35,040 Speaker 1: It's called an evolutionary tradeoff. This is actually a pattern 706 00:39:35,040 --> 00:39:38,320 Speaker 1: that you see in multiple species where whether it's a weapon, 707 00:39:38,440 --> 00:39:42,160 Speaker 1: whether it's the loudness of their call. Sometimes when you 708 00:39:42,239 --> 00:39:46,440 Speaker 1: invest heavily into one thing, like say a weapon size, 709 00:39:46,560 --> 00:39:48,520 Speaker 1: or in the case of this howler monkey, the size 710 00:39:48,520 --> 00:39:51,680 Speaker 1: of the hyoid bone, there's a bit of a trade 711 00:39:51,719 --> 00:39:55,880 Speaker 1: off where the testes shrink because you're investing less resources 712 00:39:55,920 --> 00:39:57,960 Speaker 1: into say testes size. 713 00:39:58,840 --> 00:40:03,359 Speaker 2: In the world of video games, we call that min max. Yeah, 714 00:40:03,400 --> 00:40:05,560 Speaker 2: I do like that. The Howler monkey is sort of 715 00:40:05,640 --> 00:40:08,759 Speaker 2: like a self regulating like the developers put in a 716 00:40:08,760 --> 00:40:11,040 Speaker 2: lot of like balancing, so it's like, wow, you can 717 00:40:11,120 --> 00:40:13,480 Speaker 2: really go crazy on the hyoid bone, but then your 718 00:40:13,520 --> 00:40:16,439 Speaker 2: testes are put all your attribute points in the hyoid bone. 719 00:40:16,480 --> 00:40:18,480 Speaker 1: They should have they should have done that in Balder's 720 00:40:18,560 --> 00:40:19,120 Speaker 1: Gate three. 721 00:40:19,800 --> 00:40:24,000 Speaker 3: Yeah right, go nuts or your high eyed bone and 722 00:40:24,360 --> 00:40:27,120 Speaker 3: beg three. 723 00:40:26,600 --> 00:40:31,080 Speaker 1: Because you could see the outcome of those particular character choices. Anyway, 724 00:40:32,000 --> 00:40:35,960 Speaker 1: So the ones that have the smaller hyoid bones but 725 00:40:36,120 --> 00:40:38,880 Speaker 1: larger testies are the ones who live in these groups 726 00:40:38,880 --> 00:40:42,120 Speaker 1: that are more like a tumbler polycule. There's multiple males 727 00:40:42,160 --> 00:40:46,160 Speaker 1: and also multiple females, Whereas the ones with the really 728 00:40:46,239 --> 00:40:49,359 Speaker 1: loud call the big hyoid bone but smaller testes are 729 00:40:49,360 --> 00:40:51,919 Speaker 1: the ones that are more Mormon. There there's the one 730 00:40:52,400 --> 00:40:54,600 Speaker 1: one male. I don't write to me. I know that 731 00:40:54,760 --> 00:40:57,759 Speaker 1: modern Mormonism doesn't do this, but whatever. 732 00:40:57,600 --> 00:41:02,280 Speaker 2: I do, I do like that. The female Hower monkeys 733 00:41:02,640 --> 00:41:05,279 Speaker 2: who go for that big hyoid bone are kind of 734 00:41:05,320 --> 00:41:10,080 Speaker 2: like size queens when it comes to the I need 735 00:41:10,080 --> 00:41:12,480 Speaker 2: a guy just screaming in my ear as loud as 736 00:41:12,560 --> 00:41:13,440 Speaker 2: humanly possible. 737 00:41:13,680 --> 00:41:17,400 Speaker 1: My my sort of philosophy is that everyone's a size queen, 738 00:41:17,440 --> 00:41:19,759 Speaker 1: But it just depends what the size of the thing is, 739 00:41:20,040 --> 00:41:22,960 Speaker 1: you know. Yeah, Like for me, it's empathy. It's the 740 00:41:23,000 --> 00:41:24,480 Speaker 1: size of the empathy that matters. 741 00:41:24,960 --> 00:41:27,800 Speaker 2: Yeah, good answer, good answer. 742 00:41:28,239 --> 00:41:30,200 Speaker 3: I'm glad you told me this in advance, because I 743 00:41:30,280 --> 00:41:31,759 Speaker 3: was gonna I was gonna put that I have a 744 00:41:31,880 --> 00:41:35,120 Speaker 3: huge highway bone in matating profiles, and now I do 745 00:41:35,239 --> 00:41:36,320 Speaker 3: not want to do that anything. 746 00:41:36,360 --> 00:41:40,560 Speaker 2: Yeah, you got to Dmitri when Dmitri starts howling baby. Yeah. 747 00:41:40,600 --> 00:41:44,600 Speaker 1: And so this is really interesting because what is happening here, right, 748 00:41:44,640 --> 00:41:47,400 Speaker 1: why you have these different social groups, is that you 749 00:41:47,560 --> 00:41:51,399 Speaker 1: have a competition happening on different levels. For the species 750 00:41:51,640 --> 00:41:54,480 Speaker 1: where the males have these big hyoide bones, the competition 751 00:41:54,640 --> 00:41:58,399 Speaker 1: is happening with their calls, right, like they and then 752 00:41:58,400 --> 00:42:00,640 Speaker 1: they don't have to compete as much in terms of 753 00:42:00,680 --> 00:42:03,160 Speaker 1: their testes size, right. And I'm not even talking about 754 00:42:03,160 --> 00:42:06,480 Speaker 1: the females like being into big Testies or small testies. 755 00:42:06,840 --> 00:42:10,319 Speaker 1: It is literally when you have smaller testees, you got 756 00:42:10,400 --> 00:42:14,360 Speaker 1: fewer soldiers, right, You have less sperm to play around 757 00:42:14,400 --> 00:42:16,839 Speaker 1: with you can clip that and put that out out 758 00:42:16,880 --> 00:42:20,400 Speaker 1: of context. But yeah, right, it's a numbers game. And 759 00:42:20,480 --> 00:42:24,160 Speaker 1: so if you are mating, if you're a bunch of 760 00:42:24,200 --> 00:42:27,400 Speaker 1: males and say you're mating with the same female, right, uh, 761 00:42:27,760 --> 00:42:31,759 Speaker 1: you want to have more sperm to compete with other 762 00:42:31,840 --> 00:42:34,360 Speaker 1: males and so that it's more likely that one of 763 00:42:34,400 --> 00:42:36,759 Speaker 1: your guys is going to get in there and reach 764 00:42:36,920 --> 00:42:41,160 Speaker 1: the cross the finish line first. So but if you've 765 00:42:41,200 --> 00:42:44,040 Speaker 1: already secured your females, like I have the best death 766 00:42:44,080 --> 00:42:47,239 Speaker 1: browl around and you guys are loyal to me, and 767 00:42:47,360 --> 00:42:49,640 Speaker 1: also I'm intimidating to other males, so they're not going 768 00:42:49,719 --> 00:42:51,640 Speaker 1: to come around and try to fight me, then you 769 00:42:51,680 --> 00:42:55,040 Speaker 1: don't need to compete as much on testes size. So yeah, 770 00:42:55,040 --> 00:42:57,200 Speaker 1: I mean it is. It is a really interesting like 771 00:42:57,280 --> 00:43:01,280 Speaker 1: these howler monkeys really demonstrate this very interesting evolutionary trend 772 00:43:01,320 --> 00:43:04,720 Speaker 1: that you see also from from insects to mammals to fish, 773 00:43:04,840 --> 00:43:07,200 Speaker 1: Like this kind of like trade off thing and sexual 774 00:43:07,239 --> 00:43:11,719 Speaker 1: selection and like the difference between say sperm competition and 775 00:43:11,760 --> 00:43:16,759 Speaker 1: like actual like competition with say weapons or vocals. It 776 00:43:17,320 --> 00:43:20,520 Speaker 1: abounds in animals and maybe Eurovision, I don't know, fellas 777 00:43:20,520 --> 00:43:22,520 Speaker 1: what do you think I. 778 00:43:22,600 --> 00:43:26,320 Speaker 3: Mean, that's a great point. There's now oftentimes there you 779 00:43:26,360 --> 00:43:30,640 Speaker 3: go Oftentimes in Eurovision, you know the people, it's it's 780 00:43:30,719 --> 00:43:33,560 Speaker 3: the visual spectacle gets a lot of hype and people 781 00:43:33,640 --> 00:43:36,200 Speaker 3: tend to forget that it is in fact a song contest. 782 00:43:36,600 --> 00:43:37,879 Speaker 2: But there are some there are. 783 00:43:37,840 --> 00:43:40,799 Speaker 3: Some performances, especially even in this last year. The guy 784 00:43:40,800 --> 00:43:43,640 Speaker 3: who came in fourth place was a way. It was 785 00:43:43,640 --> 00:43:46,680 Speaker 3: a French ballot and not much in terms of staging, 786 00:43:46,760 --> 00:43:50,400 Speaker 3: visual almost nothing, really almost nothing terms of staging. But 787 00:43:50,600 --> 00:43:56,080 Speaker 3: the voice was so peerless. That's got that got him 788 00:43:56,080 --> 00:43:57,760 Speaker 3: all the points he needed to get for fourth place. 789 00:43:58,080 --> 00:44:00,440 Speaker 3: It just goes to show that the voice alone, and 790 00:44:00,600 --> 00:44:03,040 Speaker 3: we've seen this multiple times in Eurovision. People who do 791 00:44:03,200 --> 00:44:07,800 Speaker 3: call what is a parking bark. It's just them nothing else, 792 00:44:08,200 --> 00:44:11,400 Speaker 3: singing into a microphone, and because of the quality of 793 00:44:11,400 --> 00:44:14,640 Speaker 3: that voice, they often find themselves getting great ranking. 794 00:44:14,680 --> 00:44:17,080 Speaker 2: If you've got the goods when it comes to the singing, 795 00:44:17,880 --> 00:44:21,560 Speaker 2: you might be okay. It's one people Eurovision before it's 796 00:44:21,640 --> 00:44:24,040 Speaker 2: best to maybe have a little of both. 797 00:44:24,160 --> 00:44:26,720 Speaker 1: Streamers at least put some streamers. 798 00:44:26,280 --> 00:44:29,799 Speaker 2: In there on do something but like or cover your. 799 00:44:29,800 --> 00:44:32,520 Speaker 1: Drum set and crochet they did that last year or 800 00:44:32,560 --> 00:44:33,000 Speaker 1: this year. 801 00:44:33,120 --> 00:44:36,520 Speaker 2: That's right, do what you gotta do. But sometimes that 802 00:44:36,680 --> 00:44:37,480 Speaker 2: voice is enough. 803 00:44:37,840 --> 00:44:40,799 Speaker 1: Yeah, yeah, no, I mean exactly. So there's trade offs 804 00:44:40,800 --> 00:44:44,759 Speaker 1: in Eurovision. There's trade offs and monkey testes as well. 805 00:44:45,200 --> 00:44:48,080 Speaker 2: So you know, as the old saying goes. 806 00:44:48,160 --> 00:44:51,879 Speaker 1: The old dog goes. Females do also howl, and they 807 00:44:51,880 --> 00:44:55,240 Speaker 1: can be quite loud, but they are usually well basically 808 00:44:55,320 --> 00:44:59,439 Speaker 1: always not as loud as the males, much lessnnoying. And 809 00:45:00,000 --> 00:45:02,960 Speaker 1: but yeah, I mean so it is really interesting because 810 00:45:02,960 --> 00:45:06,080 Speaker 1: it kind of sounds like they're rude, right, they're yelling 811 00:45:06,120 --> 00:45:10,839 Speaker 1: at each other, howling all the time, but actually this 812 00:45:11,360 --> 00:45:15,800 Speaker 1: is something that keeps their aggression and fighting relatively low. 813 00:45:15,960 --> 00:45:20,120 Speaker 1: Like it diffuses tension, it solves conflicts without them having 814 00:45:20,160 --> 00:45:24,440 Speaker 1: to actually resort to violence. So they basically are using 815 00:45:24,480 --> 00:45:27,160 Speaker 1: their words, not their fists, even though their words are 816 00:45:27,200 --> 00:45:27,799 Speaker 1: just like ooo. 817 00:45:31,280 --> 00:45:33,879 Speaker 3: Well, they do often say that Eurovision is the thing 818 00:45:33,920 --> 00:45:38,640 Speaker 3: that has prevented many European wars. Many Europeans say, we 819 00:45:38,719 --> 00:45:41,520 Speaker 3: do eurovisions so we don't fight each other. So there 820 00:45:41,600 --> 00:45:42,759 Speaker 3: is some merit to that idea. 821 00:45:42,880 --> 00:45:45,640 Speaker 1: Yeah, there is, there is, I actually like, even though 822 00:45:45,640 --> 00:45:48,960 Speaker 1: obviously there are still wars and it's I mean, Eurovision 823 00:45:49,000 --> 00:45:52,400 Speaker 1: can get really political. I mean this year's Eurovision got quite. 824 00:45:52,280 --> 00:45:56,040 Speaker 2: Political because frequently does will continue to. 825 00:45:56,239 --> 00:45:58,799 Speaker 1: Yeah, and so like you know, it's a but there 826 00:45:58,880 --> 00:46:02,560 Speaker 1: is something to that, right where essentially what happens in 827 00:46:02,640 --> 00:46:06,520 Speaker 1: terms of animals, right, is that if you can basically 828 00:46:06,600 --> 00:46:11,400 Speaker 1: predetermine who's probably gonna win the fight before you actually fight, 829 00:46:12,960 --> 00:46:15,320 Speaker 1: then you don't have to go through the fighting, right 830 00:46:15,440 --> 00:46:17,360 Speaker 1: like that, And that's kind of a it's sort of 831 00:46:17,400 --> 00:46:20,319 Speaker 1: an interesting sort of theory about like maybe sports, like 832 00:46:20,440 --> 00:46:23,000 Speaker 1: if you have two groups of people and you play 833 00:46:23,040 --> 00:46:25,719 Speaker 1: like some kind of sport or game with each other, 834 00:46:25,840 --> 00:46:29,520 Speaker 1: like and there's even combat styles where sometimes it was 835 00:46:29,800 --> 00:46:33,080 Speaker 1: more like a sport less killing, so that you could 836 00:46:33,120 --> 00:46:36,680 Speaker 1: determine basically, okay, who really is gonna win this, but 837 00:46:36,840 --> 00:46:39,000 Speaker 1: maybe we can do it without killing each other, and 838 00:46:39,040 --> 00:46:41,280 Speaker 1: then whoever wins it, we're just gonna say, like, okay, 839 00:46:41,280 --> 00:46:44,680 Speaker 1: you win, we'll back off, uh, because we don't want 840 00:46:44,680 --> 00:46:47,080 Speaker 1: to die. And even if you win, you don't want 841 00:46:47,120 --> 00:46:50,440 Speaker 1: to incur those casualties. So like humans do do that, 842 00:46:50,640 --> 00:46:54,920 Speaker 1: and now it's become kind of more eurovisiony. But throughout 843 00:46:54,920 --> 00:46:57,800 Speaker 1: our history we've also had conflicts, conflicts where it's like 844 00:46:57,840 --> 00:46:59,400 Speaker 1: kind of like, you know, we're we're just sort of 845 00:46:59,480 --> 00:47:04,879 Speaker 1: like trying to scope out whether we're gonna lose this 846 00:47:04,960 --> 00:47:05,960 Speaker 1: fight really bad. 847 00:47:07,400 --> 00:47:09,279 Speaker 3: I don't know about you, folks, but I want to 848 00:47:09,320 --> 00:47:13,040 Speaker 3: watch the Disney or Pixar or DreamWorks movie about a 849 00:47:13,080 --> 00:47:15,680 Speaker 3: young howler monkey who can't sing. 850 00:47:15,960 --> 00:47:18,200 Speaker 2: He doesn't have the gift, and they. 851 00:47:18,120 --> 00:47:22,120 Speaker 3: All all the other ones are, you know, mocking him 852 00:47:22,239 --> 00:47:24,440 Speaker 3: for not being able to sing. Can't any can't any 853 00:47:24,520 --> 00:47:26,960 Speaker 3: howling him, howling him. 854 00:47:26,840 --> 00:47:27,480 Speaker 2: Down if you will. 855 00:47:27,800 --> 00:47:31,239 Speaker 3: He goes on a worldwide journey to learn about the 856 00:47:31,280 --> 00:47:34,480 Speaker 3: power of song and the music within him, and he 857 00:47:34,560 --> 00:47:39,200 Speaker 3: comes back to become the boss Howler Monkey of all 858 00:47:39,560 --> 00:47:42,320 Speaker 3: this is like an annoyingly plausible pitch for a movie. 859 00:47:42,680 --> 00:47:45,360 Speaker 1: You're just described. I'm really sorry to break this to you, 860 00:47:45,440 --> 00:47:48,080 Speaker 1: but you're literally just describing happy feet. 861 00:47:49,400 --> 00:47:51,040 Speaker 2: Yeah. Yeah, Well. 862 00:47:51,239 --> 00:47:55,399 Speaker 3: The good thing is Hollywood is not, how do we say, 863 00:47:55,480 --> 00:47:58,719 Speaker 3: allergic to the idea of repackaging an old idea and 864 00:47:58,760 --> 00:47:59,440 Speaker 3: selling it as. 865 00:47:59,280 --> 00:47:59,759 Speaker 2: A new one. 866 00:48:00,520 --> 00:48:02,360 Speaker 1: Really, I don't know that I. 867 00:48:02,520 --> 00:48:05,560 Speaker 2: Could you could you give one example of this? I've 868 00:48:05,600 --> 00:48:06,239 Speaker 2: never heard of it. 869 00:48:10,840 --> 00:48:13,799 Speaker 1: Okay, we're gonna take a quick break and when we 870 00:48:13,840 --> 00:48:17,319 Speaker 1: get back, we're gonna meet our final contestant, who I 871 00:48:17,320 --> 00:48:23,080 Speaker 1: don't know may surprise you. So, guys, do you like techno? 872 00:48:24,600 --> 00:48:27,520 Speaker 2: I like some technow Yeah, you like you like it. 873 00:48:27,560 --> 00:48:33,440 Speaker 1: When that that thick and soupy bass drops, that is 874 00:48:34,080 --> 00:48:38,360 Speaker 1: usually my favorite part. Yeah. I used to listen to 875 00:48:38,520 --> 00:48:43,120 Speaker 1: Infected Mushroom when I was in high school because I 876 00:48:43,200 --> 00:48:50,240 Speaker 1: that was before I started getting migraines. But no, actually 877 00:48:50,320 --> 00:48:52,960 Speaker 1: quite like, I quite liked it. Like I'm not trying 878 00:48:52,960 --> 00:48:55,240 Speaker 1: to I'm not trying to be mean to techno. Techno 879 00:48:55,280 --> 00:48:58,319 Speaker 1: can be really cool. I love I love some like 880 00:48:58,600 --> 00:49:02,520 Speaker 1: interesting beats there. Uh did you guys know that fruit 881 00:49:02,600 --> 00:49:06,080 Speaker 1: flies seeing sweet romantic techno songs to each other? 882 00:49:07,120 --> 00:49:09,160 Speaker 2: Okay, this is news to me. I don't know. Yeah, 883 00:49:09,760 --> 00:49:11,960 Speaker 2: they made much of a sound besides a buzz even 884 00:49:14,000 --> 00:49:16,239 Speaker 2: kind of they're they're a pest, but they're one of 885 00:49:16,280 --> 00:49:18,920 Speaker 2: the least intrusive pests. They're very small, they don't make 886 00:49:18,960 --> 00:49:22,160 Speaker 2: a lot of noise. And also it's like it's in 887 00:49:22,239 --> 00:49:25,040 Speaker 2: the name. It's like, hey, man, we're here for the fruit. Yeah, 888 00:49:25,080 --> 00:49:26,120 Speaker 2: we're not even here for you. 889 00:49:26,320 --> 00:49:28,600 Speaker 1: No, no, no, We're just here for your bananas that 890 00:49:28,640 --> 00:49:29,400 Speaker 1: you loved out. 891 00:49:29,239 --> 00:49:33,120 Speaker 2: On another animal, another animal that tells you exactly the 892 00:49:33,160 --> 00:49:34,319 Speaker 2: whole story is in the name. 893 00:49:34,560 --> 00:49:38,040 Speaker 1: We got man. We're all three for three on that. 894 00:49:37,640 --> 00:49:40,439 Speaker 1: It's that magnificent friget. I mean, I guess frigate birds 895 00:49:40,440 --> 00:49:43,719 Speaker 1: aren't literally like eating frigates, but they kind of look 896 00:49:44,160 --> 00:49:44,440 Speaker 1: you know. 897 00:49:44,440 --> 00:49:45,760 Speaker 2: I guess, but like. 898 00:49:46,360 --> 00:49:49,040 Speaker 1: It's because they're swift, you know, like they make sure 899 00:49:49,120 --> 00:49:54,080 Speaker 1: they dive verious monkeys. Fruit Flies. Oh sorry, these are 900 00:49:54,120 --> 00:49:59,439 Speaker 1: called the pretty pretty neat fruit flies. That's their home. 901 00:50:01,000 --> 00:50:03,520 Speaker 2: I love it they're being humbled. Yeah, I love managing 902 00:50:03,560 --> 00:50:04,920 Speaker 2: expectations about the fruit. 903 00:50:05,280 --> 00:50:11,280 Speaker 1: Pretty pretty neat fruit also known as the Drosophila melanogaster. 904 00:50:12,400 --> 00:50:16,239 Speaker 1: They they do sing sweet techno songs to each other. 905 00:50:16,280 --> 00:50:20,440 Speaker 1: We usually cannot hear them because they are very very quiet. 906 00:50:22,360 --> 00:50:25,200 Speaker 2: That's about to change. I've been around some flue fruit flies, 907 00:50:25,200 --> 00:50:27,160 Speaker 2: and I have not heard any sweet beets. 908 00:50:27,280 --> 00:50:30,600 Speaker 1: So, but you know, I am going to let you 909 00:50:30,640 --> 00:50:35,640 Speaker 1: listen to this. This is courtesy of a recording by 910 00:50:35,960 --> 00:50:41,799 Speaker 1: Professor Mala Murphy's neuroscience Lab at Princeton. So here we go. 911 00:50:58,719 --> 00:51:07,840 Speaker 3: Okay, all right, so it's pretty minimal, it's pretty. It 912 00:51:07,840 --> 00:51:10,080 Speaker 3: feels a little experimental, but I can get I can 913 00:51:10,120 --> 00:51:12,120 Speaker 3: mess with it. It's the start. It's the start of 914 00:51:12,160 --> 00:51:13,920 Speaker 3: the techno sad like things. 915 00:51:14,080 --> 00:51:16,239 Speaker 1: Yeah, you gotta sample it, you gotta sample it. 916 00:51:16,320 --> 00:51:17,920 Speaker 2: Yeah. I was gonna say, you could sample that and 917 00:51:17,960 --> 00:51:18,880 Speaker 2: make that into something. 918 00:51:19,000 --> 00:51:24,360 Speaker 1: You could totally sample that. So this lab is examining 919 00:51:24,360 --> 00:51:28,480 Speaker 1: these fruit flies and they are like doing this incredible 920 00:51:28,600 --> 00:51:33,480 Speaker 1: mapping of the fruitfly brain. Because fruitflies brains are very 921 00:51:33,480 --> 00:51:36,640 Speaker 1: little and tiny, it presents a great opportunity to be 922 00:51:36,640 --> 00:51:39,000 Speaker 1: able to study it in detail, and specifically, they want 923 00:51:39,040 --> 00:51:43,560 Speaker 1: to look into the decision making behind like when and 924 00:51:44,120 --> 00:51:48,399 Speaker 1: why they drop these sick beats. So, uh, first of all, 925 00:51:48,440 --> 00:51:50,439 Speaker 1: how do they make this like sound that like sort 926 00:51:50,480 --> 00:51:52,880 Speaker 1: of little like like little I guess you'd call it 927 00:51:52,960 --> 00:51:55,279 Speaker 1: kind of like drumming or it just it sounds just 928 00:51:55,360 --> 00:51:59,279 Speaker 1: a little bit like a synthetic beat almost. Yeah, And 929 00:51:59,400 --> 00:52:04,200 Speaker 1: he's doing this by Yeah, he's vibrating his wings. It's 930 00:52:04,200 --> 00:52:08,600 Speaker 1: called stridulation, and he can vibrate each wing independently and 931 00:52:08,600 --> 00:52:12,480 Speaker 1: that can change sort of the the rhythm and the. 932 00:52:12,760 --> 00:52:16,000 Speaker 2: Complex they're playing with that stereo field. 933 00:52:16,200 --> 00:52:20,959 Speaker 1: That's right exactly. And so males serenade females in order 934 00:52:21,000 --> 00:52:23,759 Speaker 1: to get their attention. They want to draw in these 935 00:52:23,800 --> 00:52:29,520 Speaker 1: females without freaking her out, and they will change the 936 00:52:29,560 --> 00:52:33,759 Speaker 1: beat of their song depending on how close he's approaching her, 937 00:52:33,880 --> 00:52:36,960 Speaker 1: whether she's responsive, whether she seems a little bit of skance. 938 00:52:38,000 --> 00:52:41,680 Speaker 1: It's like, rather than just sort of sitting there and 939 00:52:41,840 --> 00:52:45,839 Speaker 1: sending out this call, they are very sensitive to what 940 00:52:45,880 --> 00:52:48,440 Speaker 1: the female is doing, and they'll change their call based 941 00:52:48,480 --> 00:52:53,520 Speaker 1: on her behavior because she ultimately decides whether they may like, 942 00:52:53,840 --> 00:52:56,479 Speaker 1: it's not going to happen without her saying, yeah, let's 943 00:52:56,480 --> 00:52:59,520 Speaker 1: do this, And so he will often spend up to 944 00:52:59,680 --> 00:53:03,160 Speaker 1: twenty minutes, which is like forever in flute fruitfly years. 945 00:53:04,040 --> 00:53:07,280 Speaker 1: So he'll spend twenty minutes wooing her, going through hundreds 946 00:53:07,360 --> 00:53:09,960 Speaker 1: of these sensual beats. 947 00:53:10,360 --> 00:53:11,919 Speaker 2: It was like a year of his life. 948 00:53:11,840 --> 00:53:16,600 Speaker 3: Yeah, okay, So what I'm hearing is this fruitfly male 949 00:53:17,400 --> 00:53:21,759 Speaker 3: values consent and a just base on the needs and 950 00:53:21,840 --> 00:53:26,080 Speaker 3: preferences of a woman green flas. This fruitfly is a gentleman. 951 00:53:25,920 --> 00:53:27,399 Speaker 1: You know, it's fruit fly. 952 00:53:27,600 --> 00:53:31,520 Speaker 2: It's very funny because all three of these animals, it's like, oh, well, 953 00:53:31,520 --> 00:53:36,239 Speaker 2: they make a sound to like attract women, to tract 954 00:53:36,280 --> 00:53:39,120 Speaker 2: females of the species and We're like, what interesting animal 955 00:53:39,200 --> 00:53:43,160 Speaker 2: behavior animals do? And you're like, man, you go to 956 00:53:43,200 --> 00:53:46,080 Speaker 2: any college quad in the entire us, and you're gonna 957 00:53:46,080 --> 00:53:49,279 Speaker 2: see some dickhead with him guitar. It's like, is it 958 00:53:49,440 --> 00:53:53,960 Speaker 2: so different to sing Blackbird on the quad? Yeah, it's very. 959 00:53:53,719 --> 00:53:57,360 Speaker 3: Similar behavior, and you can even change the song based 960 00:53:57,400 --> 00:53:58,760 Speaker 3: on the truly. 961 00:53:58,880 --> 00:54:01,759 Speaker 2: Yes, yes, you get the reverence that we work for you. Well, 962 00:54:02,000 --> 00:54:04,640 Speaker 2: good old fashioned wonder walls waiting us right there. 963 00:54:04,840 --> 00:54:08,719 Speaker 1: Wonderwall's always there for you. It's better than pulling literal 964 00:54:08,800 --> 00:54:11,680 Speaker 1: magic tricks out of your pocket and trying to use 965 00:54:11,719 --> 00:54:14,600 Speaker 1: that to flirt. Actually happened to me. 966 00:54:14,719 --> 00:54:17,720 Speaker 3: This is not oh, this is my life, not wow, 967 00:54:18,080 --> 00:54:22,359 Speaker 3: I'm sorry, I must Was it like a was it. 968 00:54:22,360 --> 00:54:23,080 Speaker 2: A card trick? 969 00:54:23,760 --> 00:54:25,880 Speaker 1: It was a card trick and a little. 970 00:54:25,680 --> 00:54:29,000 Speaker 3: Rope thing, okay, because like a cardon was like, maybe 971 00:54:29,000 --> 00:54:30,600 Speaker 3: you've got a deck of cards if you're good at it. 972 00:54:30,640 --> 00:54:32,680 Speaker 3: But once you have more props than that, I'm like, 973 00:54:32,800 --> 00:54:35,040 Speaker 3: this is a lot to carry around and you're gonna 974 00:54:35,040 --> 00:54:35,399 Speaker 3: pull like. 975 00:54:35,400 --> 00:54:37,520 Speaker 1: A rope out of your pocket when talking to a 976 00:54:37,560 --> 00:54:38,480 Speaker 1: woman you don't know. 977 00:54:39,200 --> 00:54:41,279 Speaker 2: Don't do that. Don't do that. 978 00:54:41,360 --> 00:54:44,640 Speaker 1: I don't do that, sir, And you're gonna a. 979 00:54:44,680 --> 00:54:45,720 Speaker 2: Real trick, is that the woman? 980 00:54:49,440 --> 00:54:54,680 Speaker 1: It's funny because it's scary. So we're talking about these 981 00:54:54,680 --> 00:54:57,840 Speaker 1: fruit flies who they're not scary at all. They're sweet, 982 00:54:57,920 --> 00:55:01,760 Speaker 1: little o beautiful romantics. 983 00:55:02,000 --> 00:55:04,560 Speaker 2: Yeah, these guys can read the room, they really can. 984 00:55:04,640 --> 00:55:08,680 Speaker 1: And they do, and they will increase the complexity of 985 00:55:08,880 --> 00:55:12,239 Speaker 1: the song once they've got the female's attention. Females seem 986 00:55:12,320 --> 00:55:15,440 Speaker 1: to select for males with more complex beats, like and 987 00:55:16,000 --> 00:55:18,640 Speaker 1: it may be an honest signal. So we have, like 988 00:55:18,840 --> 00:55:23,160 Speaker 1: in evolutionary biology, honest signals. That means that when an 989 00:55:23,280 --> 00:55:26,319 Speaker 1: animal is giving off some signal, it is actually uh 990 00:55:26,640 --> 00:55:30,920 Speaker 1: honestly portraying something that is real about them, right, Like 991 00:55:31,160 --> 00:55:33,960 Speaker 1: I am actually quite fit here, So this is an 992 00:55:33,960 --> 00:55:38,280 Speaker 1: honest signal about the male's fitness. A smarter, more physically 993 00:55:38,320 --> 00:55:43,520 Speaker 1: fit male will be able to produce more complex songs. Uh, 994 00:55:43,719 --> 00:55:48,200 Speaker 1: you know, just like DJs. The the more physically fit, 995 00:55:48,400 --> 00:55:51,760 Speaker 1: the more the smarter the DJs, the more fat beats they. 996 00:55:51,600 --> 00:55:54,320 Speaker 2: Can do mm hmm, the harder they can drop that beat. 997 00:55:54,520 --> 00:55:55,000 Speaker 1: That's right. 998 00:55:55,200 --> 00:55:57,959 Speaker 3: Well, that's when they ripped their shirts off and they're 999 00:55:58,000 --> 00:56:01,360 Speaker 3: they're cut, yeah, you know, muscle like that's how you know, 1000 00:56:01,800 --> 00:56:03,160 Speaker 3: there's a real genius in there. 1001 00:56:03,280 --> 00:56:05,319 Speaker 1: That's right, it's got you know. That's like, there's a 1002 00:56:05,320 --> 00:56:06,960 Speaker 1: lot of stuff you do with your arms that I'm 1003 00:56:07,000 --> 00:56:09,800 Speaker 1: sure you gotta get a bit of a work out. 1004 00:56:09,680 --> 00:56:14,800 Speaker 2: There, got Yeah, you gotta be buffed to crossfade effectively. Yeah. 1005 00:56:15,120 --> 00:56:19,160 Speaker 1: So here is the most romantic thing you're ever going 1006 00:56:19,200 --> 00:56:23,120 Speaker 1: to hear about a fruitfly. This is a direct quote 1007 00:56:23,200 --> 00:56:28,080 Speaker 1: from the head of this lab, Professor Murphy, who says, quote, 1008 00:56:28,440 --> 00:56:31,600 Speaker 1: it is a conversation with a back and forth. He 1009 00:56:31,800 --> 00:56:35,600 Speaker 1: sings and she slows down, and she turns, and then 1010 00:56:35,640 --> 00:56:40,240 Speaker 1: he sings more. He's constantly assessing her behavior to decide 1011 00:56:40,320 --> 00:56:44,320 Speaker 1: exactly how to sing. They're exchanging information in this way. 1012 00:56:44,680 --> 00:56:47,680 Speaker 1: Unlike a songbird belting out his song from his perch. 1013 00:56:48,080 --> 00:56:53,560 Speaker 1: He tunes everything into what she's doing. It's a dialogue. 1014 00:56:53,840 --> 00:56:57,840 Speaker 3: Keep talking, all right, Please tell me the romantic novel that. 1015 00:57:00,120 --> 00:57:03,520 Speaker 1: Yeah, I would like this to be the next Twilight. 1016 00:57:03,760 --> 00:57:06,520 Speaker 1: But it's instead of being like a vampire, it's a 1017 00:57:06,560 --> 00:57:07,839 Speaker 1: guy who's like fruit fly. 1018 00:57:08,400 --> 00:57:11,080 Speaker 2: But where's the harlequin romance fruitfly novel? 1019 00:57:11,200 --> 00:57:14,000 Speaker 1: Yeah? Just like you know, like you could have ended 1020 00:57:14,960 --> 00:57:17,680 Speaker 1: what is it the Cronenberg's that the fly. 1021 00:57:18,000 --> 00:57:20,520 Speaker 2: Yeah, yeah, oh yeah, come on, Jeff Fly. 1022 00:57:20,680 --> 00:57:25,760 Speaker 1: What was that movie called guys? Fly turns into the Fly? 1023 00:57:26,720 --> 00:57:30,680 Speaker 1: You know, the fly gets into the transporter and so 1024 00:57:30,720 --> 00:57:31,720 Speaker 1: he turns into the fly. 1025 00:57:31,840 --> 00:57:36,600 Speaker 2: Do you know what that movie is? That was that 1026 00:57:36,640 --> 00:57:40,200 Speaker 2: the bug was the guy whose face fell off. 1027 00:57:42,600 --> 00:57:48,200 Speaker 3: So yeah, you could have had Jeff Goldbloom making sweet 1028 00:57:48,240 --> 00:57:50,160 Speaker 3: beats for Gena Davis. 1029 00:57:50,480 --> 00:57:52,120 Speaker 2: You're gonna that would have been a huge hit. 1030 00:57:52,840 --> 00:57:54,840 Speaker 1: Geena Davis was so pretty in that movie. 1031 00:57:55,040 --> 00:58:00,560 Speaker 2: Also, that's why they got married. They were both incredibly they. 1032 00:58:00,440 --> 00:58:04,360 Speaker 1: Were very attractive. I would still consider it with both 1033 00:58:04,400 --> 00:58:06,640 Speaker 1: of them even if you had a flyhead. 1034 00:58:07,120 --> 00:58:10,120 Speaker 2: Honestly, yeah, I think she probably preferred them with the fly, 1035 00:58:10,720 --> 00:58:11,040 Speaker 2: you know. 1036 00:58:11,920 --> 00:58:15,000 Speaker 1: I mean, look, if he had a fruitfly brain, right, 1037 00:58:15,120 --> 00:58:16,280 Speaker 1: he wouldn't be a monster. 1038 00:58:16,360 --> 00:58:18,840 Speaker 2: He'd be there, actually a decent guy. 1039 00:58:18,880 --> 00:58:22,480 Speaker 1: Really nice guy, like and not like a nice guy TM, 1040 00:58:22,480 --> 00:58:24,920 Speaker 1: like a genuinely nice guy who's like, I am listening 1041 00:58:24,960 --> 00:58:27,120 Speaker 1: to you, I am hearing you, and I am changing 1042 00:58:27,200 --> 00:58:33,520 Speaker 1: my dialogue in response to your your preferences. So, given 1043 00:58:33,560 --> 00:58:36,120 Speaker 1: how simple the fruitfly's brain is, even though it's a 1044 00:58:36,120 --> 00:58:39,200 Speaker 1: beautiful brain that all men should aspire to it is 1045 00:58:39,240 --> 00:58:44,240 Speaker 1: still capable of incredible complexity. One reason that they're doing 1046 00:58:44,280 --> 00:58:47,280 Speaker 1: this study on fruitflies is because it's they're very simple, 1047 00:58:47,320 --> 00:58:50,000 Speaker 1: so they can actually map out all these neural networks. 1048 00:58:50,080 --> 00:58:53,520 Speaker 1: It's it's really incredible work to be able to pick 1049 00:58:53,520 --> 00:58:58,760 Speaker 1: apart how these brains make decisions. So yeah, but also 1050 00:58:58,880 --> 00:59:03,320 Speaker 1: it's just it's inspirational. Guys like be be be more fruitfly, 1051 00:59:03,480 --> 00:59:05,920 Speaker 1: you know, I mean everyone, let's I shouldn't even be 1052 00:59:06,000 --> 00:59:08,960 Speaker 1: like genderest about it. Everyone should be like this fruitfly 1053 00:59:09,080 --> 00:59:13,640 Speaker 1: and like listen and dialogue and dance around and drop 1054 00:59:14,040 --> 00:59:17,080 Speaker 1: fat soupy beats. I don't know if anyone's ever described 1055 00:59:17,120 --> 00:59:18,640 Speaker 1: beats as soupy, but I do. 1056 00:59:18,760 --> 00:59:21,520 Speaker 2: Sometimes I will say. It's like, if you've got a 1057 00:59:21,560 --> 00:59:25,280 Speaker 2: tiny brain and the only things that end up in 1058 00:59:25,320 --> 00:59:28,680 Speaker 2: there are I love fruit, I love making beats, and 1059 00:59:28,760 --> 00:59:32,560 Speaker 2: I love attending to my partner. You can do worse 1060 00:59:32,640 --> 00:59:33,720 Speaker 2: than those three things. 1061 00:59:34,040 --> 00:59:36,600 Speaker 3: You know, there are many creatures with much more complex 1062 00:59:36,680 --> 00:59:40,280 Speaker 3: brains who waste their potential. So I think you're also 1063 00:59:40,360 --> 00:59:42,120 Speaker 3: in there, Fell, You know. 1064 00:59:42,240 --> 00:59:45,400 Speaker 1: That's that's a beautiful message to end on. But but, 1065 00:59:45,400 --> 00:59:47,720 Speaker 1: but but before we go, we have to play a 1066 00:59:47,760 --> 00:59:52,480 Speaker 1: little game. Sound game, I guess who's squawk? And every 1067 00:59:52,480 --> 00:59:54,760 Speaker 1: week I play mystery animal sound and you the listener, 1068 00:59:54,840 --> 00:59:57,560 Speaker 1: and you the guests, try to guess who who the 1069 00:59:57,600 --> 00:59:59,640 Speaker 1: heck is making that sound. It can be any animal 1070 00:59:59,760 --> 01:00:01,960 Speaker 1: in the world, on the world, around the world. 1071 01:00:03,800 --> 01:00:07,120 Speaker 2: So this was We've trained up a little bit. We've 1072 01:00:07,160 --> 01:00:14,800 Speaker 2: already listened to three different animals this episode, so. 1073 01:00:15,320 --> 01:00:19,400 Speaker 1: This the the This one comes from actually an episode 1074 01:00:19,480 --> 01:00:23,760 Speaker 1: from I think two weeks ago, the Belly of the 1075 01:00:23,760 --> 01:00:27,440 Speaker 1: Beast episode. But if you listen to that episode, My 1076 01:00:27,520 --> 01:00:29,680 Speaker 1: hint was just like, if you listen to this episode, 1077 01:00:29,760 --> 01:00:32,480 Speaker 1: you'll probably get it. Uh, So you could either go 1078 01:00:32,560 --> 01:00:35,080 Speaker 1: back and listen to that episode or if you want 1079 01:00:35,120 --> 01:00:38,280 Speaker 1: another hint, because I'm feeling generous here, it is remember 1080 01:00:38,320 --> 01:00:40,600 Speaker 1: to say peace and thank you for your meals. Guys. 1081 01:01:00,920 --> 01:01:03,760 Speaker 2: I really hope they're drinking water here, all right, don't. 1082 01:01:03,840 --> 01:01:05,560 Speaker 2: I don't like how long the second half is. 1083 01:01:05,680 --> 01:01:08,160 Speaker 1: Okay, So to get this correct, you not only have 1084 01:01:08,200 --> 01:01:10,360 Speaker 1: to guess the animal, but you also have to guess 1085 01:01:10,400 --> 01:01:11,120 Speaker 1: what they're doing. 1086 01:01:12,080 --> 01:01:16,920 Speaker 2: Okay, okay, mm so there sounds like they're maybe not 1087 01:01:17,040 --> 01:01:18,480 Speaker 2: drinking water because. 1088 01:01:18,240 --> 01:01:20,360 Speaker 3: You know what, I'm gonna take a while guess all right, 1089 01:01:20,440 --> 01:01:22,160 Speaker 3: I'm gonna go nuts and go nuts. 1090 01:01:22,440 --> 01:01:25,000 Speaker 2: I think that is a peacock bathing itself. 1091 01:01:26,640 --> 01:01:30,840 Speaker 1: Mmm mmm, so we've got some sort of foul bathing 1092 01:01:30,920 --> 01:01:31,600 Speaker 1: going on there. 1093 01:01:32,440 --> 01:01:36,520 Speaker 2: I think that might be a duck and perhaps they 1094 01:01:36,560 --> 01:01:40,480 Speaker 2: are wading into the water or sort of paddling with 1095 01:01:40,560 --> 01:01:41,800 Speaker 2: their with their duck fees. 1096 01:01:42,040 --> 01:01:46,160 Speaker 1: Okay, so Jeremy, you're half correct. 1097 01:01:46,200 --> 01:01:47,480 Speaker 2: This is okay, I'll take it. 1098 01:01:49,280 --> 01:01:52,960 Speaker 1: But both of you are not quite right about what 1099 01:01:53,160 --> 01:01:58,920 Speaker 1: is happening. What is actually happening is these ducks are frantically, 1100 01:01:59,200 --> 01:02:01,520 Speaker 1: frantically a bowl of wet peas. 1101 01:02:05,480 --> 01:02:06,440 Speaker 2: I can't believe you. 1102 01:02:10,160 --> 01:02:12,280 Speaker 1: Did not You didn't. This is this is the thing, 1103 01:02:12,440 --> 01:02:15,240 Speaker 1: is that your your brains are too attuned to your 1104 01:02:15,360 --> 01:02:19,400 Speaker 1: vision and not attuned enough to waterfowl. I am just 1105 01:02:19,480 --> 01:02:23,040 Speaker 1: as but because you did, both guess at least some 1106 01:02:23,080 --> 01:02:25,680 Speaker 1: sort of bird, your prize is. I'm sending you a 1107 01:02:25,720 --> 01:02:28,720 Speaker 1: link to the video of the ducks eating a bowl 1108 01:02:28,760 --> 01:02:32,120 Speaker 1: of peas, which when I need like a little pick 1109 01:02:32,160 --> 01:02:35,600 Speaker 1: me up, right like I'm you know, just throughout the day, 1110 01:02:36,280 --> 01:02:38,680 Speaker 1: if I watch this video of ducks eating a bowl piece, 1111 01:02:38,720 --> 01:02:42,560 Speaker 1: I feel better. It makes you feel good fast, like 1112 01:02:42,680 --> 01:02:44,160 Speaker 1: it's like a little shot a series. 1113 01:02:45,160 --> 01:02:46,840 Speaker 2: They really they're all about these. 1114 01:02:46,640 --> 01:02:51,760 Speaker 1: Piece going to bowl wet peas. Congratulations. 1115 01:02:51,800 --> 01:02:54,840 Speaker 2: They know they know that the bowl is coming, and 1116 01:02:54,880 --> 01:02:56,520 Speaker 2: they are like it is go time. 1117 01:02:56,640 --> 01:03:01,000 Speaker 1: Oh yes, yes, congratulations to Emily and for writing in 1118 01:03:01,040 --> 01:03:07,160 Speaker 1: and guessing correctly. So, guys, some tips about feeding ducks. 1119 01:03:07,600 --> 01:03:10,920 Speaker 1: Don't feed them bread. Bread's not good for them. It's 1120 01:03:11,520 --> 01:03:14,760 Speaker 1: also just eat the bread. Bread is good. I like it, 1121 01:03:14,840 --> 01:03:15,360 Speaker 1: You like it. 1122 01:03:15,400 --> 01:03:17,040 Speaker 2: Don It's good good for us, it's good for it, 1123 01:03:17,240 --> 01:03:24,680 Speaker 2: well for us emotionally, it's good. 1124 01:03:24,480 --> 01:03:28,320 Speaker 1: For it's good for our souls. But like the ducks, 1125 01:03:28,640 --> 01:03:31,000 Speaker 1: it's not good for the ducks or for the duck souls. 1126 01:03:31,520 --> 01:03:36,080 Speaker 1: Too much bread and they'll get vitamin deficiencies. It's also like, yeah, 1127 01:03:36,200 --> 01:03:38,560 Speaker 1: so like there are other nice treats you can feed 1128 01:03:38,640 --> 01:03:42,479 Speaker 1: ducks in moderation, including peas. But you can also feed 1129 01:03:42,480 --> 01:03:47,040 Speaker 1: them lettuce, corn, grapes, oats, and earthworms, which I saw 1130 01:03:47,160 --> 01:03:50,040 Speaker 1: as a suggestion somewhere, And I'm just trying to imagine 1131 01:03:50,480 --> 01:03:52,640 Speaker 1: someone going like, technically, yes, that. 1132 01:03:52,720 --> 01:03:57,560 Speaker 2: Is true, about to go back, you know. 1133 01:03:57,560 --> 01:04:00,160 Speaker 1: What, Just chew them up and spit them directly to 1134 01:04:00,200 --> 01:04:03,120 Speaker 1: the duck's mouth. Sure, yeah, that's how you make duck friends. 1135 01:04:03,800 --> 01:04:07,560 Speaker 1: All right, so onto this week's mystery animal sound. The 1136 01:04:07,720 --> 01:04:10,600 Speaker 1: hint is this. It's a bit of a complicated hint. 1137 01:04:10,840 --> 01:04:14,520 Speaker 1: I've actually used this sound before on this very game, 1138 01:04:14,600 --> 01:04:17,720 Speaker 1: but it's one of my favorite animal sounds, so longtime 1139 01:04:17,720 --> 01:04:22,960 Speaker 1: listeners of the show maybe you'll remember. But I'm pulling 1140 01:04:23,000 --> 01:04:25,200 Speaker 1: it out again because I love it. I love this animal, 1141 01:04:25,280 --> 01:04:28,480 Speaker 1: I love this sound, and I just feel like this 1142 01:04:28,520 --> 01:04:32,320 Speaker 1: should be sampled in some kind of like europop or 1143 01:04:32,400 --> 01:04:34,640 Speaker 1: like techno song, so. 1144 01:04:34,800 --> 01:04:35,880 Speaker 2: We'll get our best people on. 1145 01:04:36,520 --> 01:04:38,840 Speaker 3: I'm glad you said that because the new songs for 1146 01:04:38,880 --> 01:04:42,400 Speaker 3: euro Vision twenty twenty five are just now according into 1147 01:04:42,400 --> 01:04:45,720 Speaker 3: their natural collections. So yeah, if you're listening artists out there, 1148 01:04:45,720 --> 01:04:48,720 Speaker 3: you haven't finished your song unique sound. You need. 1149 01:04:50,040 --> 01:04:54,120 Speaker 1: The sound you've been looking for. Or I'm I'm because 1150 01:04:54,160 --> 01:04:55,760 Speaker 1: we were talking about your vision. I was saying a 1151 01:04:55,800 --> 01:05:00,160 Speaker 1: europop a europop song, but maybe I should say something 1152 01:05:00,240 --> 01:05:03,600 Speaker 1: more along the lines of Colombian music because this little 1153 01:05:03,640 --> 01:05:12,720 Speaker 1: guy is from the Andes. All right, do you guys 1154 01:05:12,720 --> 01:05:13,760 Speaker 1: have any guesses. 1155 01:05:13,440 --> 01:05:15,160 Speaker 2: As to what could be making I mean, we can 1156 01:05:15,680 --> 01:05:17,320 Speaker 2: work that into a song, is what I'll say. 1157 01:05:17,800 --> 01:05:19,520 Speaker 1: Yeah, that's a good sound. Isn't it. 1158 01:05:20,200 --> 01:05:22,720 Speaker 2: And I'll also say last year I had a fantastic 1159 01:05:22,800 --> 01:05:25,520 Speaker 2: song called Lanoya, which was from Italy, but it had 1160 01:05:25,560 --> 01:05:30,520 Speaker 2: Cumbia elements, which is of course a Colombian music form. 1161 01:05:30,600 --> 01:05:34,040 Speaker 3: So the president is already there and she came in 1162 01:05:34,160 --> 01:05:38,320 Speaker 3: I believe she came in seventh, So just saying yeah, same, 1163 01:05:40,920 --> 01:05:42,600 Speaker 3: I have no guess this is what this sound is. 1164 01:05:43,000 --> 01:05:44,560 Speaker 2: I believe it is some sort of bird. 1165 01:05:44,880 --> 01:05:47,560 Speaker 1: All right, Dimitri, you's still going with birds, what about you? 1166 01:05:47,640 --> 01:05:50,439 Speaker 2: Jeremy, No, I'm gonna switch it up. I'm gonna say 1167 01:05:50,480 --> 01:05:55,120 Speaker 2: this is some sort of weird Colombian. Oh, maybe it's 1168 01:05:55,160 --> 01:05:56,680 Speaker 2: one of the I don't know if they're Colombia. 1169 01:05:56,720 --> 01:06:00,160 Speaker 1: Should not just stop that sentence there, I'm gonna it's 1170 01:06:00,200 --> 01:06:01,320 Speaker 1: a weird Colombian. 1171 01:06:02,160 --> 01:06:05,960 Speaker 2: No, no, no, I'm saying, I don't know if they're Columbian. 1172 01:06:06,000 --> 01:06:09,440 Speaker 2: But you know those those squirrels from South America that 1173 01:06:09,480 --> 01:06:13,360 Speaker 2: are like super colorful. Maybe it's one of those. 1174 01:06:13,800 --> 01:06:17,439 Speaker 1: Sure, well, fellas, I'm not going to tell you because 1175 01:06:17,440 --> 01:06:20,240 Speaker 1: we're gonna have to find out on next week's episode 1176 01:06:20,320 --> 01:06:25,680 Speaker 1: of Creature Feature. That's right, I'm making you wait, where 1177 01:06:25,720 --> 01:06:29,320 Speaker 1: we will reveal who is making the sound if you 1178 01:06:29,480 --> 01:06:31,240 Speaker 1: think you know and you want to write to me 1179 01:06:31,320 --> 01:06:34,960 Speaker 1: or to me at Creature Featurepod at gmail dot com 1180 01:06:35,000 --> 01:06:38,680 Speaker 1: with your guesses. You can also ask me animal questions. 1181 01:06:38,760 --> 01:06:41,800 Speaker 1: I on occasion will answer your questions on the air 1182 01:06:42,120 --> 01:06:46,640 Speaker 1: and special listener questions episodes. Sometimes I'll respond directly to 1183 01:06:46,680 --> 01:06:50,960 Speaker 1: your email, depends on how rejuvenated I am that day 1184 01:06:51,000 --> 01:06:55,440 Speaker 1: by the video of ducks eating peas. But yes, please 1185 01:06:55,480 --> 01:06:58,200 Speaker 1: write to me or if you have cute pictures of 1186 01:06:58,200 --> 01:07:01,520 Speaker 1: your pets or if you have that you feed peas too, 1187 01:07:01,600 --> 01:07:04,320 Speaker 1: I want to hear about it. Guys, thank you so 1188 01:07:04,440 --> 01:07:06,880 Speaker 1: much for joining me today. Where can people find in 1189 01:07:07,240 --> 01:07:11,800 Speaker 1: Just go and listen to their Eurovision podcasts. 1190 01:07:13,440 --> 01:07:16,600 Speaker 2: It's very easy to find wherever you get your podcasts. 1191 01:07:16,680 --> 01:07:21,040 Speaker 2: Eurovangelists is the name. We've got new episodes every week 1192 01:07:21,200 --> 01:07:24,680 Speaker 2: and the new Eurovision and the new Eurovision season starts 1193 01:07:24,920 --> 01:07:29,040 Speaker 2: in literally next month. We will start hearing new songs. 1194 01:07:28,720 --> 01:07:29,600 Speaker 1: And it's happening. 1195 01:07:30,360 --> 01:07:33,120 Speaker 2: Yeah, it's all. It's nearly upon us. But we also 1196 01:07:33,160 --> 01:07:36,400 Speaker 2: have many episodes about Eurovision history. We did a whole 1197 01:07:36,440 --> 01:07:38,640 Speaker 2: series of three episodes where we ranked all of the 1198 01:07:38,680 --> 01:07:41,600 Speaker 2: twenty first century Eurovision winners, which might be a good 1199 01:07:41,720 --> 01:07:43,440 Speaker 2: entry point for people who are like, what's this thing 1200 01:07:43,480 --> 01:07:45,880 Speaker 2: all about? 1201 01:07:45,440 --> 01:07:49,640 Speaker 3: We also cover We also cover subjects that we just 1202 01:07:49,760 --> 01:07:52,560 Speaker 3: kind of want to speculate on, and group songs together. 1203 01:07:52,600 --> 01:07:53,600 Speaker 2: We most recently did. 1204 01:07:53,520 --> 01:07:57,240 Speaker 3: An episode about Eurovision's guilty Pleasures, the songs we like 1205 01:07:57,360 --> 01:08:00,280 Speaker 3: but arguably we shouldn't, so we do. Also it's a 1206 01:08:00,280 --> 01:08:02,640 Speaker 3: fun stuff. You can also find us on the Instagram. 1207 01:08:03,040 --> 01:08:06,240 Speaker 3: You're Evangelist is right there on Instagram. We do all 1208 01:08:06,280 --> 01:08:08,800 Speaker 3: sorts of fun little updates, news. Sometimes we do the 1209 01:08:08,840 --> 01:08:12,800 Speaker 3: occasional giveaway of Eurovision and or your Evangelist merch. 1210 01:08:13,360 --> 01:08:18,720 Speaker 2: So yeah, we're everywhere. You can find us. You're Evangelist everywhere. 1211 01:08:20,880 --> 01:08:23,000 Speaker 1: Of course to meet you. And he's talking about guilty 1212 01:08:23,320 --> 01:08:25,400 Speaker 1: songs that they shouldn't like, but do you like. He is, 1213 01:08:25,439 --> 01:08:29,720 Speaker 1: of course talking about the power ballad about committing war crimes. 1214 01:08:38,640 --> 01:08:47,240 Speaker 2: Time history. That's not my pick. I like the silly songs. 1215 01:08:51,080 --> 01:08:53,599 Speaker 1: Guys, Thank you so much for listening. If you're enjoying 1216 01:08:53,640 --> 01:08:55,479 Speaker 1: the show and you leave a rating review, you know 1217 01:08:55,600 --> 01:08:57,400 Speaker 1: that I love it. You know I read all of 1218 01:08:57,400 --> 01:09:01,920 Speaker 1: them and I absorb your comments like a happy little sponge. 1219 01:09:03,000 --> 01:09:05,920 Speaker 1: And thanks to the space Cussics through their super awesome 1220 01:09:05,960 --> 01:09:13,720 Speaker 1: song ex Alumina. Creature features a paraduction productionon of iHeartRadio. 1221 01:09:13,920 --> 01:09:17,120 Speaker 1: For more podcasts like the One Who Just Heard, visit 1222 01:09:17,160 --> 01:09:20,559 Speaker 1: the iHeartRadio app Apple Podcasts, or Hey guess what you 1223 01:09:20,640 --> 01:09:23,280 Speaker 1: listen to your favorite shows. I don't judge you. I'm 1224 01:09:23,320 --> 01:09:25,280 Speaker 1: not your mother. I can't tell you what to do, 1225 01:09:26,439 --> 01:09:30,160 Speaker 1: but you know, try to eat some peas along with 1226 01:09:30,200 --> 01:09:34,400 Speaker 1: your bread. See you next Wednesday.