1 00:00:06,920 --> 00:00:10,119 Speaker 1: Welcome to Creature feature production of My Heart Radio. I'm 2 00:00:10,160 --> 00:00:14,000 Speaker 1: your host of Mini Parasites, Katie Golden. I studied psychology 3 00:00:14,000 --> 00:00:19,639 Speaker 1: and evolutionary biology, and today on the show Screaming. Uh yeah, 4 00:00:19,720 --> 00:00:24,599 Speaker 1: animals that scream. Animals that's seeing animals that scream, ancing 5 00:00:25,120 --> 00:00:29,000 Speaker 1: from the teeniest tiniest screams to some of the loudest 6 00:00:29,080 --> 00:00:32,680 Speaker 1: ye owls in the animal kingdom. Discover the more as 7 00:00:32,680 --> 00:00:35,519 Speaker 1: we answer the age old question, how much would you 8 00:00:35,640 --> 00:00:39,760 Speaker 1: pay for your own personal security system? Would you pay 9 00:00:39,800 --> 00:00:43,960 Speaker 1: them in blood? Joining me today is friend of the Pod, 10 00:00:44,520 --> 00:00:47,960 Speaker 1: co host of George Center and lour After Hours, Will 11 00:00:48,080 --> 00:00:52,000 Speaker 1: pull A k A Christie. I'm a good gi Maine. Welcome. 12 00:00:52,360 --> 00:00:54,920 Speaker 1: Thank you for having me again, Katie. I think this 13 00:00:54,960 --> 00:00:57,080 Speaker 1: is my third time on here. I'm a three peter. 14 00:00:57,200 --> 00:01:01,000 Speaker 1: I'm super excited. That's right. You would be receiving in 15 00:01:01,000 --> 00:01:05,160 Speaker 1: the mail of fruit basket. Oh good, yeah? Good? Now 16 00:01:05,480 --> 00:01:08,920 Speaker 1: what kind of fruit? Uh should I expect? Well? You 17 00:01:08,959 --> 00:01:14,600 Speaker 1: know they're exiting like a Towe pineapple. Okay, I just 18 00:01:14,640 --> 00:01:18,520 Speaker 1: had an apple, regular apple. It's actually about one apple 19 00:01:18,600 --> 00:01:21,039 Speaker 1: in it. Is there an actual basket or are you 20 00:01:21,080 --> 00:01:23,479 Speaker 1: just mailing me a single apple with a stamp on it. 21 00:01:23,480 --> 00:01:27,000 Speaker 1: It's it's an apple wrapped in a napkin. Okay. And 22 00:01:27,040 --> 00:01:29,080 Speaker 1: then once you get to five yeah, once you get 23 00:01:29,080 --> 00:01:32,800 Speaker 1: to five episodes, it'll be an apple tied to a banana, okay, 24 00:01:32,920 --> 00:01:37,399 Speaker 1: tied to okay? All right. I was curious how you 25 00:01:37,400 --> 00:01:39,480 Speaker 1: were going to fasten it. That seems difficult, and I 26 00:01:39,520 --> 00:01:42,320 Speaker 1: don't think that's going to survive the postage, but I 27 00:01:42,360 --> 00:01:47,080 Speaker 1: appreciate your effort. And ten episodes in, I'll thrown throwing 28 00:01:47,080 --> 00:01:51,559 Speaker 1: a handful of grapes. So get excited, cannot I cannot 29 00:01:51,560 --> 00:01:53,840 Speaker 1: wait for for the rotten fruit to show up in 30 00:01:53,880 --> 00:01:58,560 Speaker 1: my mailbox. So excited for this? So did you know 31 00:01:58,680 --> 00:02:04,160 Speaker 1: that animals screwam sometimes? So the when I think of 32 00:02:04,200 --> 00:02:08,200 Speaker 1: animals screaming. We used to have a pet, pop belly pig, 33 00:02:09,040 --> 00:02:12,320 Speaker 1: and when I would try to get his name was Spud. 34 00:02:12,880 --> 00:02:16,079 Speaker 1: And whenever I would try to get Spud to cooperate 35 00:02:16,120 --> 00:02:18,640 Speaker 1: with me, whenever I'd have to pick him up. That 36 00:02:19,520 --> 00:02:25,040 Speaker 1: little dude. It's the wildest, most blood curdling scream have 37 00:02:25,240 --> 00:02:28,000 Speaker 1: ever heard. I don't know if your listeners are familiar 38 00:02:28,040 --> 00:02:30,480 Speaker 1: with with the sound like a pig makesure just how 39 00:02:31,040 --> 00:02:35,440 Speaker 1: loud they can get um, but it's it's incredible and 40 00:02:35,480 --> 00:02:38,720 Speaker 1: the first time it happened, it startled me so so 41 00:02:38,840 --> 00:02:43,239 Speaker 1: much like it, uh, it completely catches you off guard. 42 00:02:43,639 --> 00:02:48,720 Speaker 1: I feel like pig screams to our uncannily humanoid in 43 00:02:48,720 --> 00:02:51,720 Speaker 1: a way that's really it's you can distinguish it from 44 00:02:51,760 --> 00:02:56,080 Speaker 1: a human scream, but there's a definitely a humanoid aspect 45 00:02:56,080 --> 00:02:59,840 Speaker 1: to it that's very unsettling. I agree, I agree. Similar 46 00:02:59,840 --> 00:03:05,040 Speaker 1: to those goats. The compilations, yeah that scream. Uh. Some 47 00:03:05,120 --> 00:03:08,160 Speaker 1: of my favorite videos are when people take like metal 48 00:03:08,240 --> 00:03:11,959 Speaker 1: songs or or heavy heavy music and then they put 49 00:03:12,000 --> 00:03:15,800 Speaker 1: the goat screams as the tracks. It's so good. There's 50 00:03:15,880 --> 00:03:18,800 Speaker 1: one um that the let the Bodies hit the floor, 51 00:03:18,880 --> 00:03:22,160 Speaker 1: Let the bodies hit the floor with animals sounds, uh, 52 00:03:22,200 --> 00:03:25,560 Speaker 1: and they've got like a screaming cockatoo a goat in there, 53 00:03:26,400 --> 00:03:28,760 Speaker 1: Couca Bura. It's really good. I love it. It's one 54 00:03:28,800 --> 00:03:33,680 Speaker 1: of my favorite videos. Fantastic I've heard. I think the 55 00:03:33,720 --> 00:03:36,280 Speaker 1: one that comes to mind as I think there's a 56 00:03:36,320 --> 00:03:39,160 Speaker 1: system of a down mash up with like the song 57 00:03:39,320 --> 00:03:42,720 Speaker 1: Chop Suey and yeah, the screaming goats. That's really good. Yeah. No, 58 00:03:42,840 --> 00:03:48,000 Speaker 1: that's that's incredible. I love that. Uh So, yeah, I mean, like, 59 00:03:48,040 --> 00:03:49,840 Speaker 1: there are a lot of animals. We know that they 60 00:03:49,840 --> 00:03:53,760 Speaker 1: can make loud sounds, sometimes they can scream. But I 61 00:03:53,800 --> 00:03:59,400 Speaker 1: think something that is it's potentially surprising to people is 62 00:03:59,480 --> 00:04:04,480 Speaker 1: that in sex can also scream. In fact, bees can 63 00:04:04,600 --> 00:04:10,120 Speaker 1: scream for help, which is cute and terrifying. Is it is? 64 00:04:10,840 --> 00:04:14,520 Speaker 1: And I imagine these screams are inaudible to the human ear. 65 00:04:15,000 --> 00:04:21,279 Speaker 1: That's not necessarily true. So remember the Asian murder hornets 66 00:04:21,320 --> 00:04:23,800 Speaker 1: that we were freaking out about, I think kind of 67 00:04:24,600 --> 00:04:27,040 Speaker 1: the beginning of the pandemic. So we got a little 68 00:04:27,040 --> 00:04:33,320 Speaker 1: bit sidetrack there, but absolutely the the man, what a 69 00:04:33,360 --> 00:04:36,520 Speaker 1: pleasant thought like that that the murder hornets were back 70 00:04:36,600 --> 00:04:41,760 Speaker 1: before the world completely had gone Yeah. That that that's 71 00:04:41,760 --> 00:04:43,479 Speaker 1: a that's a that's almost like a nice thing to 72 00:04:43,520 --> 00:04:46,200 Speaker 1: reminisce on. Now, Yeah, we're like, oh, we gotta worry 73 00:04:46,240 --> 00:04:49,960 Speaker 1: about these giant bees and then oops, no, that wasn't it. 74 00:04:50,720 --> 00:04:56,960 Speaker 1: Uh But yeah, so so there was some uh some 75 00:04:57,440 --> 00:04:59,640 Speaker 1: worry and still some worry about them because they were 76 00:04:59,640 --> 00:05:02,840 Speaker 1: found in North America, and our North American bees are 77 00:05:02,839 --> 00:05:07,919 Speaker 1: woefully unprepared for the presence of these giant hornets because 78 00:05:07,920 --> 00:05:12,960 Speaker 1: they're very adept at murdering and ripping a bee colony 79 00:05:13,240 --> 00:05:17,719 Speaker 1: to shreds, to literal shreds. They dismember the bodies of 80 00:05:17,760 --> 00:05:21,520 Speaker 1: these poor little honey bees. And but of course these 81 00:05:21,520 --> 00:05:26,400 Speaker 1: are invasive species, and when you go to their native 82 00:05:26,760 --> 00:05:31,799 Speaker 1: territory in Asian countries, Asian honey bees have actually evolved 83 00:05:32,120 --> 00:05:37,839 Speaker 1: a number of coping strategies for dealing with these giant 84 00:05:38,000 --> 00:05:43,280 Speaker 1: murder hornets. So one of these strategies is a honey 85 00:05:43,440 --> 00:05:49,599 Speaker 1: curdling scream. So obviously you may have an image of 86 00:05:49,640 --> 00:05:53,960 Speaker 1: like B movie Jerry Seinfeld screaming into the camera with 87 00:05:54,040 --> 00:05:57,000 Speaker 1: his weird little c g I be teeth, which I 88 00:05:57,040 --> 00:06:01,680 Speaker 1: hate so much. What's with all these murder lords? You 89 00:06:01,960 --> 00:06:05,800 Speaker 1: worry my whole my whole family. What's the dow that 90 00:06:08,080 --> 00:06:11,880 Speaker 1: you're digesting my body parts? Okay, you do a much 91 00:06:11,920 --> 00:06:14,960 Speaker 1: better Jerry sign felt impression than I do, and bye 92 00:06:15,120 --> 00:06:18,200 Speaker 1: bye better. I mean it's terrible. Yeah, it's bad. Good, 93 00:06:18,880 --> 00:06:22,640 Speaker 1: it's bad. Don't worry. It's gonna be bad. What makes 94 00:06:22,640 --> 00:06:26,680 Speaker 1: it so good, That's what makes it good, So don't worry. 95 00:06:26,720 --> 00:06:30,080 Speaker 1: Though bees do not scream with their mouths, They actually 96 00:06:30,160 --> 00:06:34,200 Speaker 1: scream with their butts. What's somehow I knew it was 97 00:06:34,200 --> 00:06:36,080 Speaker 1: going to be the butt, and it still surprised me 98 00:06:36,120 --> 00:06:39,240 Speaker 1: when you say, yeah, it's always the butt, isn't it. 99 00:06:39,240 --> 00:06:44,080 Speaker 1: It is it with insects. Yes, everything happens with the butt, everything, everything, 100 00:06:44,120 --> 00:06:48,720 Speaker 1: all the time. You know that sign in that Japanese 101 00:06:48,760 --> 00:06:51,320 Speaker 1: amusement park that went viral like a couple of years 102 00:06:51,360 --> 00:06:54,080 Speaker 1: ago where it was like, please scream inside your heart 103 00:06:54,440 --> 00:06:58,200 Speaker 1: because it was at the beginning of the pandemic and 104 00:06:58,560 --> 00:07:00,920 Speaker 1: it was like they didn't want people to scream and 105 00:07:00,960 --> 00:07:04,040 Speaker 1: release a bunch of saliva everywhere, so it was please 106 00:07:04,080 --> 00:07:06,719 Speaker 1: scream inside of your heart to write while writing this 107 00:07:06,920 --> 00:07:11,880 Speaker 1: roller coaster. I I missed that somehow, But that's such 108 00:07:11,920 --> 00:07:16,520 Speaker 1: a beautiful and poetic like I feel like a lot 109 00:07:16,560 --> 00:07:18,680 Speaker 1: of people are screaming inside of their heart at all 110 00:07:18,720 --> 00:07:25,280 Speaker 1: times these days. Yeah, absolutely, evergreen sign. Yes for the bees, 111 00:07:25,360 --> 00:07:29,200 Speaker 1: it's actually please scream with your butt. So they point 112 00:07:29,320 --> 00:07:33,080 Speaker 1: their posteriors in the air and beat their wings against 113 00:07:33,080 --> 00:07:37,880 Speaker 1: their abdomen and while running, so it's like if you 114 00:07:38,040 --> 00:07:41,040 Speaker 1: were terrified, you like pointed your butt in the air 115 00:07:41,080 --> 00:07:46,760 Speaker 1: and started slapping your thighs and then screaming as you ran. Damn. Okay, 116 00:07:46,800 --> 00:07:50,800 Speaker 1: so I was picturing an ace venture, a moment um 117 00:07:51,560 --> 00:07:54,440 Speaker 1: where the bee is bent over like spreading the butt 118 00:07:55,000 --> 00:07:58,240 Speaker 1: uh and and talking out of its butts. Not not 119 00:07:58,360 --> 00:08:03,000 Speaker 1: an ace venture, no, no more. More like you're running 120 00:08:03,040 --> 00:08:05,080 Speaker 1: with your butt in the air while you're slapping it, 121 00:08:05,400 --> 00:08:10,080 Speaker 1: and your slaps are so loud they sound like a scream. 122 00:08:10,200 --> 00:08:15,000 Speaker 1: So yeah, So this causes a high pitched shrieking sound. 123 00:08:15,720 --> 00:08:19,600 Speaker 1: You know. It's similar to how strigulation and other insects 124 00:08:19,720 --> 00:08:24,400 Speaker 1: like crickets will strigulate by rubbing things against their abdomen. 125 00:08:24,720 --> 00:08:27,480 Speaker 1: For the bees, it's the beating of the wings against 126 00:08:27,480 --> 00:08:30,840 Speaker 1: their abdomen that creates this percussive sound that is that 127 00:08:30,960 --> 00:08:35,280 Speaker 1: such a high frequency it sounds like a scream and uh. 128 00:08:35,400 --> 00:08:39,000 Speaker 1: It alerts other Asian honey bees to the presence of 129 00:08:39,040 --> 00:08:44,760 Speaker 1: a giant hornet. It's also used to warn its comrades 130 00:08:44,880 --> 00:08:49,400 Speaker 1: of other types of hornets, like the Vespa sorora hornet, 131 00:08:49,679 --> 00:08:52,920 Speaker 1: which is another large hornet who is very similar to 132 00:08:52,960 --> 00:08:56,960 Speaker 1: the giant hornet, also hunts and packs and attacks bee hives. 133 00:08:57,000 --> 00:09:01,360 Speaker 1: So they've got a few hornet species to worry about. 134 00:09:01,440 --> 00:09:06,760 Speaker 1: These poor honey bees. But the most unsettling thing about 135 00:09:06,800 --> 00:09:12,080 Speaker 1: this scream is how eerily humanlike it sounds. So researcher 136 00:09:12,440 --> 00:09:16,280 Speaker 1: Dr Heather Matela said to The New York Times quote, 137 00:09:16,320 --> 00:09:19,080 Speaker 1: I would get chills and start to worry about them. 138 00:09:19,160 --> 00:09:21,840 Speaker 1: Even though the recordings are from years ago and the 139 00:09:21,840 --> 00:09:25,560 Speaker 1: bees are long dead. There's something very human and recognizable 140 00:09:25,559 --> 00:09:31,880 Speaker 1: in the sounds. So that's yeah. Unfortunately, looked. I tried 141 00:09:31,920 --> 00:09:35,000 Speaker 1: to find audio of the be screams. I couldn't find it. 142 00:09:35,200 --> 00:09:38,160 Speaker 1: I'll keep looking and if I find it, I will 143 00:09:38,200 --> 00:09:42,960 Speaker 1: definitely share with you guys. But it is Yeah. I 144 00:09:43,080 --> 00:09:46,400 Speaker 1: wonder if h did you did you happen to to 145 00:09:46,559 --> 00:09:50,440 Speaker 1: learn whether the screams were distinct depending on the type 146 00:09:50,440 --> 00:09:55,280 Speaker 1: of hornet attacking the colony. That's a really good question. 147 00:09:55,480 --> 00:09:59,280 Speaker 1: I don't know if there are individual screams for the 148 00:09:59,440 --> 00:10:03,600 Speaker 1: species of hornet, but there's definitely an alarm call. I 149 00:10:03,640 --> 00:10:07,679 Speaker 1: think that means hornet intruder um. But that's a I mean, 150 00:10:07,679 --> 00:10:10,520 Speaker 1: that's a really good question. I wouldn't be too shocked 151 00:10:10,640 --> 00:10:13,640 Speaker 1: if they had different kinds of sounds for different types 152 00:10:13,640 --> 00:10:16,439 Speaker 1: of threats, but as far as I know, there's sort 153 00:10:16,480 --> 00:10:19,920 Speaker 1: of one general Hey, there's a hornet. It's going to 154 00:10:20,040 --> 00:10:26,040 Speaker 1: decapitate us. This is bad sort of but drumming and 155 00:10:26,360 --> 00:10:29,920 Speaker 1: do these honey bees um I've seen video before where 156 00:10:30,080 --> 00:10:35,360 Speaker 1: bees will swarm a hornet um and and overheat the 157 00:10:35,440 --> 00:10:40,400 Speaker 1: hornet basically like using their wings to to increase the 158 00:10:40,400 --> 00:10:43,520 Speaker 1: their body temperature to the point where he can't survive. 159 00:10:44,080 --> 00:10:47,800 Speaker 1: That is absolutely correct. This is the other tactic that 160 00:10:47,880 --> 00:10:51,560 Speaker 1: these Asian honey bees will use. It's a remarkable behavior 161 00:10:51,679 --> 00:10:54,800 Speaker 1: because they will cover the hornet and just like they 162 00:10:55,160 --> 00:10:57,880 Speaker 1: just like you said, they will actually boil it alive. 163 00:10:57,960 --> 00:11:02,000 Speaker 1: And they do that by vibe rating their abdomens, which 164 00:11:02,080 --> 00:11:05,720 Speaker 1: generates this friction in a high enough temperature to cook 165 00:11:05,760 --> 00:11:09,600 Speaker 1: the hornet in the middle of their tactical mosh pit. 166 00:11:10,240 --> 00:11:14,520 Speaker 1: And they also by forming that ball, I think they 167 00:11:14,559 --> 00:11:19,160 Speaker 1: increase CEO two levels, which also basically, if the boiling 168 00:11:19,240 --> 00:11:23,600 Speaker 1: doesn't kill them, they suffocate it. And it's it is incredible. 169 00:11:24,000 --> 00:11:27,920 Speaker 1: They actually have one more fun anti hornet tactic, and 170 00:11:27,960 --> 00:11:32,440 Speaker 1: that is collecting animal dung and spreading it onto the 171 00:11:32,600 --> 00:11:37,600 Speaker 1: entrance of their hive to ward off hornets. And it's 172 00:11:37,679 --> 00:11:41,600 Speaker 1: kind of gross, but it's remarkable because bees are very 173 00:11:41,720 --> 00:11:45,720 Speaker 1: fastidious they're very clean. They even poop outside of their 174 00:11:45,760 --> 00:11:48,360 Speaker 1: own hives because they want to keep things as clean 175 00:11:48,400 --> 00:11:51,920 Speaker 1: and tidy as possible. They want to protect their delicate 176 00:11:52,000 --> 00:11:55,600 Speaker 1: larva from pathogens. So the fact that they were bringing 177 00:11:55,720 --> 00:12:00,000 Speaker 1: poop to their hive was really confusing to researchers. It's 178 00:12:00,000 --> 00:12:04,800 Speaker 1: seemed very counterintuitive. But by placing the animal dung at 179 00:12:04,840 --> 00:12:10,840 Speaker 1: the entrance, it actually wards off these hornets with a 180 00:12:10,960 --> 00:12:15,640 Speaker 1: foul smell, and it's called fecal spotting. And they'll just 181 00:12:15,720 --> 00:12:18,720 Speaker 1: take basically little bits of dung from all sorts of 182 00:12:18,720 --> 00:12:21,160 Speaker 1: different animals and like put it sort of like a 183 00:12:22,200 --> 00:12:24,800 Speaker 1: just kind of like paint with it, very artistically, like 184 00:12:24,880 --> 00:12:27,160 Speaker 1: Bob Ross, Like now we want to we want to 185 00:12:27,240 --> 00:12:31,040 Speaker 1: put the I want to put the bare diarrhea right here. 186 00:12:31,120 --> 00:12:35,559 Speaker 1: That's some nice bare diarrhea that'll really ward off those wasps. 187 00:12:35,600 --> 00:12:38,760 Speaker 1: And oh and here's some here's some bobcat dung. We're 188 00:12:38,760 --> 00:12:41,040 Speaker 1: gonna put the bobcat dung, and it's gonna make this 189 00:12:41,160 --> 00:12:47,000 Speaker 1: really nice kind of fresco, happy happy little logs, happy 190 00:12:47,120 --> 00:12:53,840 Speaker 1: happy little happy little turds. Okay, So I'm just I'm 191 00:12:53,840 --> 00:12:56,960 Speaker 1: just saying I've never thought about this as like a 192 00:12:57,040 --> 00:13:02,120 Speaker 1: security tactic. But if I went and collected the dog 193 00:13:02,160 --> 00:13:05,280 Speaker 1: poop in my backyard and smeared it all over the 194 00:13:05,320 --> 00:13:07,200 Speaker 1: front door of my house, I would not have to 195 00:13:07,200 --> 00:13:10,719 Speaker 1: worry about anybody showing up on my front porch. That 196 00:13:10,760 --> 00:13:17,160 Speaker 1: would absolutely that would not not no one's visiting me. 197 00:13:17,280 --> 00:13:20,160 Speaker 1: I'm not getting any packages also, so that would you know, 198 00:13:20,200 --> 00:13:23,920 Speaker 1: that'd be unfortunate. But also home intruders. Nobody is going 199 00:13:24,000 --> 00:13:26,400 Speaker 1: to break into my house if they start to come 200 00:13:26,440 --> 00:13:28,760 Speaker 1: in or try to pry in the front door. You 201 00:13:28,800 --> 00:13:32,120 Speaker 1: don't need security systems. You don't need these ring doorbells 202 00:13:32,280 --> 00:13:36,360 Speaker 1: or or you know, weapons for to protect your home. 203 00:13:36,440 --> 00:13:39,080 Speaker 1: Just smear poop all over your front door and the 204 00:13:39,200 --> 00:13:42,719 Speaker 1: entrance way, by the way, brilliant. This podcast is sponsored 205 00:13:42,760 --> 00:13:46,800 Speaker 1: by poop Safe, a cheap, alternative and eco friendly solution 206 00:13:46,880 --> 00:13:54,120 Speaker 1: to protecting your home. It's absolutely recycled. That poop get 207 00:13:54,120 --> 00:13:57,480 Speaker 1: out there. Uh, you know, collected from your neighbors. Will 208 00:13:57,520 --> 00:14:01,400 Speaker 1: love you if you're collecting their dog poop for your protection. Um, 209 00:14:02,320 --> 00:14:05,760 Speaker 1: it's a win for everybody, will they? I sure love 210 00:14:05,880 --> 00:14:08,640 Speaker 1: my neighbor who smears my dog's poop on their door. 211 00:14:11,280 --> 00:14:13,599 Speaker 1: I I mean, if you know what like once it 212 00:14:13,679 --> 00:14:15,840 Speaker 1: leaves my yard, I don't care what happens to it 213 00:14:15,920 --> 00:14:19,200 Speaker 1: necessarily um. And also I don't have to visit them, 214 00:14:19,360 --> 00:14:22,400 Speaker 1: you know, I don't have to to you know, uh, 215 00:14:22,520 --> 00:14:25,280 Speaker 1: you know, be neighborly or anything. I still think it's 216 00:14:25,320 --> 00:14:29,400 Speaker 1: I think it's a net positive or a net positive overall. 217 00:14:29,440 --> 00:14:33,600 Speaker 1: Should I say yes? A good way to clear out 218 00:14:33,680 --> 00:14:37,680 Speaker 1: guests to just start like, you know, laying down poop 219 00:14:37,680 --> 00:14:39,520 Speaker 1: on the floor, and it's like, oh, this is what 220 00:14:39,640 --> 00:14:43,680 Speaker 1: I do it, uh midnight, so you might wanna mose on. 221 00:14:44,520 --> 00:14:48,160 Speaker 1: This may seem drastic right for the bees to smear 222 00:14:48,280 --> 00:14:51,880 Speaker 1: poop all over their beautiful hive entrance, but if you 223 00:14:51,920 --> 00:14:55,000 Speaker 1: had to face these hornets down, these hornets that are 224 00:14:55,040 --> 00:14:58,320 Speaker 1: more than three times your size, you would probably scream 225 00:14:58,360 --> 00:15:01,760 Speaker 1: with your butt and smear animal long around too. So 226 00:15:01,880 --> 00:15:05,640 Speaker 1: just a quick quick overview of these hornets. The giant 227 00:15:05,640 --> 00:15:10,000 Speaker 1: hornets or otherwise known as the Asian murder hornets, as 228 00:15:10,040 --> 00:15:13,640 Speaker 1: well as the vesper sura hornets are very formidable foes 229 00:15:13,720 --> 00:15:17,200 Speaker 1: and they can decimate a honey bee colony, just decapitate 230 00:15:17,240 --> 00:15:22,240 Speaker 1: a bunch of bees in you know, their rapid berserkers 231 00:15:22,280 --> 00:15:26,240 Speaker 1: of bees. They will often attack in packs and chop 232 00:15:26,320 --> 00:15:29,520 Speaker 1: up their victims into bite sized pieces that they carry 233 00:15:29,560 --> 00:15:32,440 Speaker 1: back to their hornet hive where they feed the body 234 00:15:32,520 --> 00:15:34,800 Speaker 1: parts to their larva like they're feeding it into a 235 00:15:34,800 --> 00:15:43,880 Speaker 1: wood chipper. So the adult such a brutal discretion. This 236 00:15:43,960 --> 00:15:48,840 Speaker 1: is horrifying. I feel like like that scientists, uh said, 237 00:15:49,360 --> 00:15:53,360 Speaker 1: she feels horrible. She like can can feel the connection 238 00:15:53,560 --> 00:15:57,320 Speaker 1: listening to those recordings, I'm uh empathizing with these bees 239 00:15:57,440 --> 00:16:00,320 Speaker 1: right now. Yeah, just based on the horror that they 240 00:16:00,360 --> 00:16:04,480 Speaker 1: go through. Yeah. The reason they have this like using 241 00:16:04,480 --> 00:16:08,280 Speaker 1: the baby as the wood chipper technique is that adult 242 00:16:08,600 --> 00:16:13,640 Speaker 1: hornets cannot eat solid food, you know those that those 243 00:16:13,720 --> 00:16:15,880 Speaker 1: our glass figures that they have to keep with that 244 00:16:16,040 --> 00:16:19,840 Speaker 1: very thin waste. Food cannot pass through that that is 245 00:16:19,920 --> 00:16:23,880 Speaker 1: any any thicker than a liquid. So the adults chew 246 00:16:24,000 --> 00:16:27,080 Speaker 1: up the body parts and then spit this paste into 247 00:16:27,200 --> 00:16:30,600 Speaker 1: the larva's mouths, and then the larva digest it and 248 00:16:30,720 --> 00:16:35,480 Speaker 1: create this kind of like protein syrup, a protein shake, uh, 249 00:16:35,560 --> 00:16:39,920 Speaker 1: and then regurgitate that for the adults to eat. So 250 00:16:40,320 --> 00:16:45,760 Speaker 1: you know what a cute family. Yes, seriously, I want 251 00:16:45,800 --> 00:16:49,000 Speaker 1: a sequel to be movie, but I want it. I 252 00:16:49,040 --> 00:16:53,400 Speaker 1: want it done like a a like in a dramatic 253 00:16:53,480 --> 00:16:58,880 Speaker 1: like a drama, just like a horror like drama style 254 00:16:59,000 --> 00:17:02,440 Speaker 1: completely serious is um where we actually get to see 255 00:17:02,480 --> 00:17:05,080 Speaker 1: the horrors of what it's like to be a bee 256 00:17:05,520 --> 00:17:08,440 Speaker 1: and and and end your family off from these wasps. 257 00:17:08,480 --> 00:17:11,760 Speaker 1: I want a remake of Game of Thrones, but it's bees. 258 00:17:12,480 --> 00:17:15,280 Speaker 1: And if you've listened to this podcast before, you know 259 00:17:15,560 --> 00:17:20,040 Speaker 1: that bees and wasps really do lend themselves to Game 260 00:17:20,080 --> 00:17:24,640 Speaker 1: of Thrones style dramatization. I mean, these hornets not only 261 00:17:24,680 --> 00:17:28,320 Speaker 1: attack honey bees, but they even attack other hornets species. 262 00:17:28,520 --> 00:17:31,200 Speaker 1: They even attack their own species, like if there's another 263 00:17:31,280 --> 00:17:34,159 Speaker 1: hive of their own species, sometimes they'll go in and 264 00:17:34,240 --> 00:17:37,520 Speaker 1: do red wedding style kill everyone, but then also eat them. 265 00:17:37,680 --> 00:17:43,680 Speaker 1: So yeah, they're they're hunting for their dinner. I guess, hey, 266 00:17:43,840 --> 00:17:51,240 Speaker 1: you know sustainable. Yeah, so we did just talk about 267 00:17:51,520 --> 00:17:56,040 Speaker 1: bees screaming with their butts and horror before getting murdered 268 00:17:56,400 --> 00:17:59,639 Speaker 1: in terrible fashion. So I thought i'd light in the 269 00:17:59,720 --> 00:18:05,720 Speaker 1: mood with some singing lemurs sing like okay, so we're 270 00:18:05,720 --> 00:18:10,760 Speaker 1: talking like Madagascar saw Yeah exactly. Prince Julian, is that 271 00:18:11,119 --> 00:18:14,639 Speaker 1: that character when he think I like to move it, 272 00:18:14,720 --> 00:18:18,560 Speaker 1: move it. That whole thing. Yeah, the early two thousands 273 00:18:18,680 --> 00:18:22,480 Speaker 1: called they want there, sort of dated c g I 274 00:18:22,600 --> 00:18:30,800 Speaker 1: movie back timely reference. I love it though, because you're 275 00:18:30,840 --> 00:18:36,439 Speaker 1: absolutely right that lemurs are from Madagascar. So that movie 276 00:18:36,640 --> 00:18:39,680 Speaker 1: where you see you know, you have these mini species 277 00:18:39,680 --> 00:18:43,199 Speaker 1: of lemurs altogether. They may not do a whole dance 278 00:18:43,680 --> 00:18:47,240 Speaker 1: number and singing number together, but indeed Madagascar is where 279 00:18:47,280 --> 00:18:50,280 Speaker 1: you will find all of the world species of lemurs. 280 00:18:51,040 --> 00:18:56,320 Speaker 1: And there are many cool, awesome species of uh. And 281 00:18:56,640 --> 00:18:59,840 Speaker 1: one of them possibly one of the lesser known ones, 282 00:19:00,080 --> 00:19:04,760 Speaker 1: but a incredible species that should be more famous is 283 00:19:04,800 --> 00:19:09,720 Speaker 1: the injury or bob a codo. So the Injury is 284 00:19:10,080 --> 00:19:14,480 Speaker 1: one of the largest lemurs in the world, like all lemurs, 285 00:19:14,520 --> 00:19:19,840 Speaker 1: lives exclusively in Madagascar, and they are critically endangered, which 286 00:19:19,920 --> 00:19:25,040 Speaker 1: is a shame because they are absolutely amazing. So these 287 00:19:25,119 --> 00:19:29,480 Speaker 1: Injury way up to about twenty pounds or nine point 288 00:19:29,560 --> 00:19:32,760 Speaker 1: five ms and grow up to about twenty eight inches 289 00:19:32,960 --> 00:19:36,600 Speaker 1: or seventy two centimeters long, so you know, bigger than 290 00:19:36,640 --> 00:19:41,920 Speaker 1: a cat, maybe a medium sized dog. Uh. They are adorable. 291 00:19:42,000 --> 00:19:46,000 Speaker 1: They look like teddy bears. They have black and white 292 00:19:46,080 --> 00:19:50,640 Speaker 1: fur and yellow eyes. Their faces have this black fluffy 293 00:19:50,680 --> 00:19:53,240 Speaker 1: fur with these tufted black ears that look like an 294 00:19:53,320 --> 00:19:58,480 Speaker 1: extra fluffy teddy bear, and they have these short, stubby tails, 295 00:19:58,760 --> 00:20:02,800 Speaker 1: which is very rare. In fact, they're the only lemurs 296 00:20:02,840 --> 00:20:07,320 Speaker 1: that have lost their tails to this extent. So they look, Oh, 297 00:20:07,440 --> 00:20:13,119 Speaker 1: that's unfortunate, that's cute, bum Yeah, I guess so. But 298 00:20:13,240 --> 00:20:16,320 Speaker 1: if I was, if I'm a lemur, I want to 299 00:20:16,359 --> 00:20:18,960 Speaker 1: tail the swing from like that's one of the coolest 300 00:20:19,000 --> 00:20:22,880 Speaker 1: things about you know, living in a tree. But they don't, 301 00:20:22,920 --> 00:20:25,239 Speaker 1: as all discussed it, or they don't really need it. 302 00:20:25,359 --> 00:20:27,680 Speaker 1: They do live in trees, but they don't need their tail, 303 00:20:27,720 --> 00:20:31,760 Speaker 1: and there's an interesting explanation for that. Actually, they are 304 00:20:32,160 --> 00:20:36,000 Speaker 1: so big that one of the main purposes of these 305 00:20:36,000 --> 00:20:39,920 Speaker 1: tails for lemurs actually isn't to hang from trees. Uh. 306 00:20:40,000 --> 00:20:43,000 Speaker 1: It is for stabilization. And this is true of a 307 00:20:43,040 --> 00:20:46,320 Speaker 1: lot of primate species. It helps them stabilize. It's true 308 00:20:46,359 --> 00:20:51,240 Speaker 1: they can uh. Primates that have preinstiled tables sorry preinsiled 309 00:20:51,240 --> 00:20:54,240 Speaker 1: tails can wrap them around branches to hold onto things 310 00:20:54,320 --> 00:20:56,919 Speaker 1: or even use them to like grip things like leaves. 311 00:20:57,359 --> 00:21:02,240 Speaker 1: They typically use it to balance their their leaps and 312 00:21:02,280 --> 00:21:06,320 Speaker 1: their jumps and movement. And that's the same thing for lemurs. 313 00:21:06,320 --> 00:21:09,639 Speaker 1: So lemurs like to leap from branch to branch, and 314 00:21:09,680 --> 00:21:12,320 Speaker 1: they will use these tails as sort of almost like 315 00:21:13,240 --> 00:21:17,040 Speaker 1: mid air rudders to help balance them as they glide. 316 00:21:17,560 --> 00:21:20,480 Speaker 1: But the thing is, the bigger you get, the less 317 00:21:20,480 --> 00:21:23,160 Speaker 1: a tail is going to do actually in terms of balance. 318 00:21:23,280 --> 00:21:25,840 Speaker 1: And because the injury is so big, the one of 319 00:21:25,840 --> 00:21:30,560 Speaker 1: the biggest lemurs it is um these tails sort of 320 00:21:30,600 --> 00:21:34,560 Speaker 1: become less useful. And there was some research done looking 321 00:21:34,600 --> 00:21:39,159 Speaker 1: at how like tail mass basically no longer if they 322 00:21:39,200 --> 00:21:42,400 Speaker 1: had a tail, it just wouldn't really help them stabilize 323 00:21:42,440 --> 00:21:46,960 Speaker 1: their leaping. So instead they have this cute little stubby 324 00:21:47,000 --> 00:21:51,879 Speaker 1: tail that I think, how do you spell that again? 325 00:21:52,160 --> 00:21:57,080 Speaker 1: Injury injury I in d r I or baba koto. 326 00:21:57,240 --> 00:22:02,000 Speaker 1: There we go. Okay, oh my god, he is so cute. Okay, 327 00:22:02,080 --> 00:22:07,240 Speaker 1: I was looking at the wrong kind. Uh wow, you 328 00:22:07,320 --> 00:22:10,760 Speaker 1: were not kidding about the Teddy Bear thing, Like the 329 00:22:11,200 --> 00:22:15,680 Speaker 1: big he's almost got like a Mickey Mouse shaped outline 330 00:22:15,680 --> 00:22:20,560 Speaker 1: of a face and ears. That's absurd. Lemurs are so 331 00:22:20,760 --> 00:22:25,399 Speaker 1: absolutely adorable, like a cartoon Teddy Bear, extra fluffy cartoon 332 00:22:25,480 --> 00:22:28,560 Speaker 1: Teddy Bear. Do these things blink? It doesn't look like 333 00:22:28,560 --> 00:22:32,960 Speaker 1: they can blink. I'm sure they can, but like it's 334 00:22:33,760 --> 00:22:37,840 Speaker 1: the most high on meth amphetamines. Looking the animal in 335 00:22:37,880 --> 00:22:41,320 Speaker 1: the Animal Kingdom, it does look like they would win 336 00:22:41,440 --> 00:22:45,840 Speaker 1: a staring contest with you easily, or like you would 337 00:22:45,840 --> 00:22:47,600 Speaker 1: get one of these as a teddy bear and you'd 338 00:22:47,600 --> 00:22:49,080 Speaker 1: sit it at the foot of your bed and wake 339 00:22:49,160 --> 00:22:50,639 Speaker 1: up in the middle of the night and it'd be 340 00:22:50,680 --> 00:22:54,640 Speaker 1: staring at you. It looks like an animatronic, Like that's 341 00:22:54,800 --> 00:22:58,639 Speaker 1: you know, the unblinking eyes of like a you know, 342 00:22:59,119 --> 00:23:03,520 Speaker 1: showbiz pizza or chucky cheese or something gives off that 343 00:23:03,640 --> 00:23:06,560 Speaker 1: vibe when I look at one. Yeah, I I see that. 344 00:23:06,680 --> 00:23:09,880 Speaker 1: I think it's a creepy cute thing. Though it's like 345 00:23:10,680 --> 00:23:14,480 Speaker 1: it's I think it's because of the the yellow eyes 346 00:23:14,680 --> 00:23:20,199 Speaker 1: and little pupils. They look very alert. So despite maybe 347 00:23:20,240 --> 00:23:24,240 Speaker 1: looking like a creepy animatronic sometimes or a cute animatronic, 348 00:23:24,280 --> 00:23:30,040 Speaker 1: whatever your your opinion, uh, they are. Their behavior is 349 00:23:30,160 --> 00:23:34,640 Speaker 1: very cute. So they have little family units. They are 350 00:23:34,760 --> 00:23:38,960 Speaker 1: monogamous and they stay in family groups, and they are 351 00:23:39,160 --> 00:23:42,520 Speaker 1: very playful and like to wrestle for fun, especially females. 352 00:23:43,280 --> 00:23:49,159 Speaker 1: Another win for feminism. So they are extremely difficult to 353 00:23:49,200 --> 00:23:52,719 Speaker 1: keep in captivity. They actually typically only last like a 354 00:23:52,840 --> 00:23:55,720 Speaker 1: year in captivity, despite the fact that they can live 355 00:23:55,800 --> 00:23:58,480 Speaker 1: up to eighteen years in the wild. And this is 356 00:23:58,600 --> 00:24:03,320 Speaker 1: likely due to their extremely specialized diet that is very 357 00:24:03,359 --> 00:24:08,119 Speaker 1: difficult to replicate. So they only seem to eat certain 358 00:24:08,160 --> 00:24:11,800 Speaker 1: foods at certain times of days, and it's a variety 359 00:24:11,840 --> 00:24:17,000 Speaker 1: of foods, so leaves, seeds, flowers, fruit, and bark. But 360 00:24:17,040 --> 00:24:19,760 Speaker 1: they have this specialized diet where they eat a certain 361 00:24:19,800 --> 00:24:21,639 Speaker 1: thing at a certain time of day and it helps 362 00:24:21,680 --> 00:24:27,360 Speaker 1: them digest it better, which you just cannot replicate in captivity. Sure, 363 00:24:28,440 --> 00:24:33,240 Speaker 1: too stressed out the follow their regimen probably, Yeah, you know, 364 00:24:33,320 --> 00:24:36,240 Speaker 1: being handled by people, are being in an enclosed environment, 365 00:24:36,640 --> 00:24:39,240 Speaker 1: and that's what I mean. That's I'm I'm glad that 366 00:24:39,320 --> 00:24:42,919 Speaker 1: they have realized that are these so they these aren't 367 00:24:42,920 --> 00:24:49,160 Speaker 1: really kept. You can't see these anywhere but in the wild, basically, yeah, exactly. So, yeah, 368 00:24:49,240 --> 00:24:54,840 Speaker 1: and they are one of the They are actually the 369 00:24:54,880 --> 00:25:00,440 Speaker 1: only lemur that communicates through singing, and they are very 370 00:25:00,560 --> 00:25:07,080 Speaker 1: musically talented, so their calls sort of sound like airhorn blasts. 371 00:25:08,840 --> 00:25:12,320 Speaker 1: Not only are these calls loud, but they also follow 372 00:25:12,520 --> 00:25:17,439 Speaker 1: musical patterns. So there was a study done at the 373 00:25:17,560 --> 00:25:22,680 Speaker 1: University of Turin, Italy that found that their calls were 374 00:25:22,880 --> 00:25:26,920 Speaker 1: used for a number of types of communication, to locate family, 375 00:25:26,960 --> 00:25:30,440 Speaker 1: to establish territory, and to do sing offs with neighbors. 376 00:25:31,119 --> 00:25:35,359 Speaker 1: And it can be either to establish a connection between neighbors, 377 00:25:35,720 --> 00:25:41,159 Speaker 1: to communicate about mating or environmental conditions, territory boundaries, or 378 00:25:41,240 --> 00:25:47,560 Speaker 1: warnings of predators. And it is actually interesting in that 379 00:25:47,600 --> 00:25:51,000 Speaker 1: they seem to follow a musical pattern. So I'm gonna 380 00:25:51,240 --> 00:25:55,680 Speaker 1: have you listened to a sample of some of these 381 00:25:55,680 --> 00:26:24,960 Speaker 1: injuries singing. So this is actually a female singing with 382 00:26:25,000 --> 00:26:28,280 Speaker 1: her mate and her son, so a little family, the 383 00:26:28,400 --> 00:26:32,520 Speaker 1: von Trapp family singing group. So was that was that 384 00:26:32,680 --> 00:26:37,399 Speaker 1: was one uh, like continuous song there or or samples 385 00:26:37,480 --> 00:26:43,119 Speaker 1: from from many Yeah, that's one continuous song. Cool, okay, okay, 386 00:26:43,200 --> 00:26:48,400 Speaker 1: you were not kidding about the the airhorn. Oh yeah, 387 00:26:48,520 --> 00:26:53,399 Speaker 1: it sounds like Jamaican airhorns, like yeah, some reggaetone or something. 388 00:26:54,000 --> 00:26:56,760 Speaker 1: Oh my god. That's and it also has like kind 389 00:26:56,800 --> 00:26:59,840 Speaker 1: of a like a hompback whale quality to some of 390 00:26:59,880 --> 00:27:03,120 Speaker 1: the Yeah, yeah I can hear that. Yeah. And so yeah, 391 00:27:03,200 --> 00:27:08,480 Speaker 1: I mean it's it's adorable because it's family singing together. Mother, father, 392 00:27:08,640 --> 00:27:12,000 Speaker 1: and son, and they often sing in duets and I 393 00:27:12,040 --> 00:27:15,800 Speaker 1: don't know if you noticed, but they were harmonizing there. 394 00:27:15,840 --> 00:27:17,840 Speaker 1: They would have one singing one tone to the other 395 00:27:17,880 --> 00:27:22,040 Speaker 1: in a slightly different tone, and singing together in these duets. 396 00:27:22,680 --> 00:27:26,040 Speaker 1: And they have very flexible mounds and lips that can 397 00:27:26,160 --> 00:27:28,720 Speaker 1: change the tone of these notes, so they, you know, 398 00:27:28,800 --> 00:27:32,120 Speaker 1: do this like little what uh, and so they can 399 00:27:32,320 --> 00:27:36,080 Speaker 1: angle the tone. I'm not a musician, so I can't. Yeah, 400 00:27:36,240 --> 00:27:40,199 Speaker 1: it's it's kind of like the the Doppler effect, like 401 00:27:40,760 --> 00:27:44,959 Speaker 1: you can stretch and and and contract the size of 402 00:27:45,000 --> 00:27:49,119 Speaker 1: the wave the vibration coming out of your mouth right exactly. 403 00:27:50,359 --> 00:27:54,439 Speaker 1: And so researchers have studied these calls and found that 404 00:27:54,480 --> 00:27:57,919 Speaker 1: they like to do them in a specific rhythm, a 405 00:27:58,359 --> 00:28:01,800 Speaker 1: one to two ratio of beat patterns, which is actually 406 00:28:01,840 --> 00:28:04,720 Speaker 1: the same type of beat pattern as found in Queens. 407 00:28:04,840 --> 00:28:08,920 Speaker 1: We Will Rock You, so that don't done, done done, 408 00:28:09,440 --> 00:28:14,160 Speaker 1: which is kind of interestingly musical. They also drag out 409 00:28:14,200 --> 00:28:17,000 Speaker 1: the final notes of their calls, which is similar to 410 00:28:17,240 --> 00:28:21,080 Speaker 1: in music when you have the retardando at the very end, 411 00:28:21,119 --> 00:28:22,879 Speaker 1: where you kind of like slow down a piece of 412 00:28:22,960 --> 00:28:26,960 Speaker 1: music dramatically. It seems like they do that and have 413 00:28:27,080 --> 00:28:29,960 Speaker 1: this kind of flourish at the end, which is unusual 414 00:28:30,080 --> 00:28:34,639 Speaker 1: for animals who use song to communicate. Typically, an animal 415 00:28:34,680 --> 00:28:36,840 Speaker 1: either sticks to a pattern or they don't. They don't 416 00:28:36,880 --> 00:28:39,920 Speaker 1: often like add little flourishes at the end of their song, 417 00:28:39,960 --> 00:28:45,000 Speaker 1: which is is very interesting, especially because I was just 418 00:28:45,000 --> 00:28:48,680 Speaker 1: gonna say, have they decoded why they do that? I 419 00:28:48,720 --> 00:28:52,360 Speaker 1: don't think so. No, It's it's not necessarily known why 420 00:28:52,400 --> 00:28:55,320 Speaker 1: they have that slow down at the end of songs. 421 00:28:55,800 --> 00:28:58,320 Speaker 1: They know that they use these songs for a variety 422 00:28:58,560 --> 00:29:02,000 Speaker 1: of community cation from anywhere to saying like hey, I'm 423 00:29:02,040 --> 00:29:05,560 Speaker 1: an available mate, to hey this is our territory, or 424 00:29:05,920 --> 00:29:08,800 Speaker 1: even like you know, communication like I'm over here. So 425 00:29:08,880 --> 00:29:11,400 Speaker 1: there could be a purpose to that. I'm not sure 426 00:29:11,520 --> 00:29:15,280 Speaker 1: that it's known yet. I'm just going to pretend that 427 00:29:15,360 --> 00:29:19,800 Speaker 1: it's it's just just artist's choice, like they're making they're 428 00:29:19,840 --> 00:29:24,520 Speaker 1: making a decision there. Uh and and that's that's their signature, 429 00:29:25,240 --> 00:29:29,160 Speaker 1: um uh style. You know the way I I write 430 00:29:29,200 --> 00:29:31,479 Speaker 1: a song and I have a certain style to it. 431 00:29:31,560 --> 00:29:35,440 Speaker 1: That's just there. That's their artistic interpretation, their their expression 432 00:29:35,480 --> 00:29:39,480 Speaker 1: coming out. I mean, we got our appreciation from music 433 00:29:39,600 --> 00:29:43,440 Speaker 1: from somewhere in our evolutionary history. Now, while we we 434 00:29:43,520 --> 00:29:46,920 Speaker 1: did not evolve from lemurs, they are a primate. They 435 00:29:46,920 --> 00:29:50,080 Speaker 1: are a cousin of ours, a distant cousin, a very 436 00:29:50,080 --> 00:29:54,240 Speaker 1: distant one. But at some point, uh, you know, primates 437 00:29:54,520 --> 00:30:01,200 Speaker 1: had an appreciation for you know, rhythm and sound that 438 00:30:01,440 --> 00:30:05,480 Speaker 1: became our human appreciation for music. So I do find 439 00:30:05,480 --> 00:30:09,320 Speaker 1: that really interesting that we see another primate species, no 440 00:30:09,360 --> 00:30:12,040 Speaker 1: matter how distantly related they are from us. They did 441 00:30:12,080 --> 00:30:14,520 Speaker 1: branch off at a very early point in our revolution, 442 00:30:14,640 --> 00:30:20,440 Speaker 1: but they have this appreciation for some kind of I 443 00:30:20,480 --> 00:30:24,720 Speaker 1: mean to me, it is at the very least a 444 00:30:24,760 --> 00:30:28,600 Speaker 1: predecessor to music, if not if you couldn't classify it 445 00:30:28,640 --> 00:30:31,520 Speaker 1: as music. Yeah, I mean, I'm a big fan of 446 00:30:31,560 --> 00:30:36,640 Speaker 1: just musical air horn blasts. It's very festive. I kind 447 00:30:36,640 --> 00:30:43,800 Speaker 1: of imagine them watching some some European football together. Uh 448 00:30:44,440 --> 00:30:49,520 Speaker 1: oh man, yeah, just uh breaking that out, like I'm 449 00:30:49,640 --> 00:30:54,120 Speaker 1: I imagine, uh they they make that sound like they've 450 00:30:54,160 --> 00:30:57,640 Speaker 1: eatn eaten some fermented leaves or something there. They've gotten 451 00:30:57,640 --> 00:30:59,720 Speaker 1: a little tipsy around the holiday party and then the 452 00:30:59,760 --> 00:31:04,719 Speaker 1: air Yeah yeah, no, I love it. Yeah, but like 453 00:31:04,760 --> 00:31:08,959 Speaker 1: I mentioned earlier, they are critically endangered, and conservation of 454 00:31:08,960 --> 00:31:12,680 Speaker 1: the species is really really important. They can't be kept 455 00:31:12,720 --> 00:31:15,880 Speaker 1: in captivity, so if their natural habitat goes, there is 456 00:31:15,920 --> 00:31:19,240 Speaker 1: no way of preserving them or bringing their population back. 457 00:31:19,960 --> 00:31:25,520 Speaker 1: And their habitat is threatened by deforestation and illegal mining 458 00:31:25,560 --> 00:31:29,720 Speaker 1: of sapphires, which is a big problem in Madagascar. But 459 00:31:30,960 --> 00:31:33,760 Speaker 1: before you get like mad at, like these individual miners 460 00:31:33,760 --> 00:31:37,800 Speaker 1: are something that humans in Madagascar are suffering as well. 461 00:31:37,840 --> 00:31:41,960 Speaker 1: They're being exploited. So these miners are often driven to 462 00:31:42,040 --> 00:31:47,640 Speaker 1: do these extremely low paying, high intensity labor mining because 463 00:31:47,920 --> 00:31:49,920 Speaker 1: you know, they're they're not getting enough food, they're not 464 00:31:49,960 --> 00:31:53,760 Speaker 1: getting enough money, they can't feed their families, and even 465 00:31:53,800 --> 00:31:58,240 Speaker 1: the local mind bosses aren't really paid that much compared 466 00:31:58,280 --> 00:32:02,400 Speaker 1: to the money being aid off of this illegal sapphire mining. 467 00:32:02,760 --> 00:32:05,600 Speaker 1: Most of the money goes to the gym dealers and 468 00:32:05,640 --> 00:32:09,720 Speaker 1: the retailers. So I think I'm bringing this up because 469 00:32:09,760 --> 00:32:14,080 Speaker 1: I think it's often important to point out how exploitation 470 00:32:14,480 --> 00:32:19,280 Speaker 1: of animals often goes hand in hand with exploitation of humans. 471 00:32:19,800 --> 00:32:24,000 Speaker 1: So you know, you see that this beautiful species is 472 00:32:24,160 --> 00:32:27,160 Speaker 1: being threatened by something like illegal mining, and I think 473 00:32:27,200 --> 00:32:31,360 Speaker 1: sometimes people may react in this way of like, oh, 474 00:32:31,400 --> 00:32:33,719 Speaker 1: you know, being angry at these miners like, don't they 475 00:32:33,800 --> 00:32:36,560 Speaker 1: understand they're ignorant, and it's like, well no, they're also 476 00:32:36,720 --> 00:32:42,080 Speaker 1: being exploited by this system. So it's really a systemic problem. 477 00:32:42,120 --> 00:32:45,000 Speaker 1: It's not these poor people in Madagascar just trying to 478 00:32:45,040 --> 00:32:47,960 Speaker 1: make a living who are the problem. It's this this 479 00:32:48,160 --> 00:32:52,480 Speaker 1: system that is causing this problem. So you know, it's 480 00:32:52,520 --> 00:32:56,360 Speaker 1: important to have as much, if not more compassion for 481 00:32:56,440 --> 00:33:00,440 Speaker 1: people as it is for when we're upset about animal 482 00:33:00,640 --> 00:33:06,920 Speaker 1: being threatened. Direct direct the anger towards the people that 483 00:33:07,000 --> 00:33:11,360 Speaker 1: are are causing the most of it. It's like I recycle, 484 00:33:11,760 --> 00:33:14,480 Speaker 1: I you know, I try not to use one use 485 00:33:14,560 --> 00:33:18,280 Speaker 1: plastics and stuff. But then you know, it's it's the 486 00:33:18,320 --> 00:33:20,520 Speaker 1: thing you see all the time, like look at the 487 00:33:20,560 --> 00:33:24,560 Speaker 1: top one most polluting corporations in the world, and it's like, 488 00:33:24,640 --> 00:33:27,600 Speaker 1: there's not there's no amount of getting on the same 489 00:33:27,640 --> 00:33:30,959 Speaker 1: page as a human population that can that can prevent 490 00:33:31,000 --> 00:33:34,600 Speaker 1: the amount of CEO two release as these corporations do. Exactly, 491 00:33:34,960 --> 00:33:40,959 Speaker 1: So direct your ire at the appropriate people responsible, exactly. 492 00:33:41,160 --> 00:33:50,760 Speaker 1: Follow the money. Follow it, always follow the money. So 493 00:33:50,960 --> 00:33:55,600 Speaker 1: we talked about poo safe earlier, right, the very environmentally 494 00:33:55,720 --> 00:34:02,680 Speaker 1: friendly uh personal sort of homes security system that rivals 495 00:34:02,720 --> 00:34:06,920 Speaker 1: these other these other silly home security systems. It who 496 00:34:07,040 --> 00:34:12,160 Speaker 1: safe keeps protect your home with the presence of foul 497 00:34:12,360 --> 00:34:16,520 Speaker 1: smelling dung that you spread on your door. But I 498 00:34:16,560 --> 00:34:22,280 Speaker 1: actually do have another home security system called ox pecker Alert. 499 00:34:22,560 --> 00:34:27,680 Speaker 1: It is an incredible, incredible technology of the red billed 500 00:34:27,760 --> 00:34:31,080 Speaker 1: ox peckers who can alert you to the presence of 501 00:34:31,560 --> 00:34:36,120 Speaker 1: poachers many many meters away. Ox Pecker is a very 502 00:34:36,200 --> 00:34:41,880 Speaker 1: misleading name for something. I will say that much. I 503 00:34:42,040 --> 00:34:44,200 Speaker 1: was I was not sure if this is going to 504 00:34:44,320 --> 00:34:48,040 Speaker 1: be a bird or I did not know what kind 505 00:34:48,080 --> 00:34:52,600 Speaker 1: of Okay, alright, all right, well it is a bird. 506 00:34:53,360 --> 00:34:57,080 Speaker 1: Before you finish that thought, the red billed ox picker 507 00:34:57,480 --> 00:35:01,320 Speaker 1: is a bird. It's a actually quite a pretty bird. Excellent. 508 00:35:01,400 --> 00:35:03,799 Speaker 1: How would you describe this bird? Oh yeah, that's a 509 00:35:03,960 --> 00:35:06,879 Speaker 1: that's a gorgeous bird. Yeah, yeah, it's like a It's 510 00:35:06,920 --> 00:35:10,640 Speaker 1: like a small tan and black bird with a yellow 511 00:35:10,680 --> 00:35:15,680 Speaker 1: and red bill in these red eyes. Quite quite beautiful. 512 00:35:16,440 --> 00:35:23,360 Speaker 1: And they like to hang out with some big friends zebras, hippo's, drafts, 513 00:35:23,520 --> 00:35:28,759 Speaker 1: cattle and other large mammals of the savannah in Africa. 514 00:35:29,000 --> 00:35:33,400 Speaker 1: So they even sit atop the fearsome rhino and nibble 515 00:35:33,520 --> 00:35:37,920 Speaker 1: at ticks, bought fly larvae and other pests. Love a 516 00:35:38,040 --> 00:35:42,279 Speaker 1: love a good relationship there, Yeah, and it's a complicated relationship. 517 00:35:42,320 --> 00:35:46,600 Speaker 1: It's really interesting because, uh, they do help their large 518 00:35:46,640 --> 00:35:51,520 Speaker 1: companions by eating parasites, but they do occasionally peck little 519 00:35:51,560 --> 00:35:55,360 Speaker 1: wounds into their host skin and sip on their host's blood, 520 00:35:55,880 --> 00:35:59,640 Speaker 1: which actually would make the birds themselves parasites. But there's 521 00:35:59,680 --> 00:36:02,959 Speaker 1: kind of debate, right like, because you know, even though 522 00:36:03,239 --> 00:36:07,960 Speaker 1: that itself is parasitic, they are also helping their hosts 523 00:36:08,120 --> 00:36:11,520 Speaker 1: by getting rid of parasites. So it's like, well, do 524 00:36:11,600 --> 00:36:14,239 Speaker 1: they do more harm than good or do they help more? 525 00:36:14,920 --> 00:36:19,160 Speaker 1: And some of the a point in favor of the 526 00:36:19,239 --> 00:36:23,200 Speaker 1: ox pecker not being a parasite but being in a mutualistic, 527 00:36:23,239 --> 00:36:28,000 Speaker 1: symbiotic relationship is the fact that they seem to protect 528 00:36:28,200 --> 00:36:34,440 Speaker 1: black rhinos from poachers. So black rhinos are big, tough, 529 00:36:35,160 --> 00:36:40,000 Speaker 1: endangered animals with great smell and hearing, but very bad eyesight, 530 00:36:40,640 --> 00:36:44,600 Speaker 1: and they are unfortunately often the victims of human poaching, 531 00:36:44,800 --> 00:36:50,439 Speaker 1: and they are critically endangered. So rhino researcher Dr. Rohn 532 00:36:50,560 --> 00:36:53,839 Speaker 1: Plots noticed that rhinos that were close enough for them 533 00:36:53,920 --> 00:36:57,239 Speaker 1: to observe had no ox peckers on their backs. They 534 00:36:57,239 --> 00:37:01,040 Speaker 1: always seem to not have their little bird friends, and 535 00:37:01,160 --> 00:37:04,520 Speaker 1: that made him wonder, that's that's an interesting coincidence. Maybe 536 00:37:04,560 --> 00:37:09,200 Speaker 1: it's not a coincidence. So they did some observational studies 537 00:37:09,200 --> 00:37:13,320 Speaker 1: that found that the ox peckers helped alert the rhinos 538 00:37:13,360 --> 00:37:18,320 Speaker 1: of a humans presence. So when the ox peckers spot 539 00:37:18,360 --> 00:37:22,439 Speaker 1: a human, they issue an alarm call, which is a 540 00:37:22,480 --> 00:37:26,919 Speaker 1: hissing shriek, and the rhinos listen to this alarm call 541 00:37:27,160 --> 00:37:32,959 Speaker 1: and we'll move away from uh the area. So these 542 00:37:33,000 --> 00:37:36,560 Speaker 1: studies found that rhinos with ox peckers are better at 543 00:37:36,680 --> 00:37:41,600 Speaker 1: moving away from humans than rhinos without ox peckers. And 544 00:37:41,840 --> 00:37:44,920 Speaker 1: what's really interesting is the more ox peckers they have, 545 00:37:45,239 --> 00:37:49,840 Speaker 1: the better they are at being alerted. So one ox 546 00:37:49,840 --> 00:37:52,960 Speaker 1: pecker is okay, but you got a whole the whole 547 00:37:53,200 --> 00:37:57,320 Speaker 1: group of five ox checkers all shrieking at You're like, ah, jeez, 548 00:37:57,360 --> 00:38:01,640 Speaker 1: what's going on? Yeah, Like one uh one alarm on 549 00:38:01,680 --> 00:38:03,440 Speaker 1: your front door is nice. But if you have all 550 00:38:03,480 --> 00:38:06,960 Speaker 1: the windows uh hooked up and then your back door 551 00:38:07,000 --> 00:38:09,520 Speaker 1: hooked up to, you're gonna you're gonna be even more 552 00:38:09,560 --> 00:38:13,280 Speaker 1: safe exactly. Not, I mean, the more alarms, the better 553 00:38:13,680 --> 00:38:19,520 Speaker 1: car alarms, air horns, everything bells. It's the home alone 554 00:38:19,640 --> 00:38:25,360 Speaker 1: version of home security. Yeah yeah, seriously. I I love 555 00:38:25,600 --> 00:38:32,080 Speaker 1: examples of species talking to each other. Um, I I 556 00:38:32,239 --> 00:38:36,160 Speaker 1: absolutely loved. I heard a story of a long time ago. 557 00:38:36,280 --> 00:38:38,359 Speaker 1: I think it was on like an episode of Radio 558 00:38:38,440 --> 00:38:41,320 Speaker 1: Lab or something where this this researcher tells the story 559 00:38:41,520 --> 00:38:47,800 Speaker 1: of um basically UH learning the distinct calls of monkeys 560 00:38:47,920 --> 00:38:52,160 Speaker 1: and like eagles, and I believe like South America where 561 00:38:52,520 --> 00:38:57,560 Speaker 1: uh they made distinct calls whenever a leopard was spotted. 562 00:38:58,200 --> 00:39:01,560 Speaker 1: And he is walking through the jungle and it's starting 563 00:39:01,600 --> 00:39:05,520 Speaker 1: to get you know, dusk out, and suddenly overhead he 564 00:39:05,600 --> 00:39:09,360 Speaker 1: hears the distinct call. And as he's walking through the jungle, 565 00:39:09,920 --> 00:39:13,560 Speaker 1: he you know, from from area to area they're making 566 00:39:13,600 --> 00:39:16,240 Speaker 1: the call. He was basically being stalked by a leopard 567 00:39:16,280 --> 00:39:20,799 Speaker 1: through he only he only knew about it because these 568 00:39:20,800 --> 00:39:25,560 Speaker 1: other animals were making their call specific to the leopard. 569 00:39:25,960 --> 00:39:29,640 Speaker 1: They made a specific call just for the leopard. When 570 00:39:29,640 --> 00:39:33,279 Speaker 1: there was when the monkeys were threatened by birds of 571 00:39:33,320 --> 00:39:36,000 Speaker 1: prey like an eagle or something, then they would make 572 00:39:36,040 --> 00:39:39,600 Speaker 1: a different different exactly. So that's how he knew that 573 00:39:39,640 --> 00:39:42,280 Speaker 1: there was a leopard following him, because it matters whether 574 00:39:42,520 --> 00:39:44,600 Speaker 1: where the thread is coming from. If it's a bad 575 00:39:45,440 --> 00:39:47,520 Speaker 1: from the sky, if it's a leopard, it's coming from 576 00:39:47,520 --> 00:39:50,920 Speaker 1: the ground, and knowing where and and the nature of 577 00:39:50,960 --> 00:39:55,160 Speaker 1: that threat is very important both for animals and human eavesdroppers. 578 00:39:55,200 --> 00:39:59,200 Speaker 1: That's an incredible story. I love that. I mean, and 579 00:39:59,239 --> 00:40:01,960 Speaker 1: that's it. It's so interesting about that story is the 580 00:40:02,000 --> 00:40:05,640 Speaker 1: way that human use that those other animal alarm calls 581 00:40:05,719 --> 00:40:09,000 Speaker 1: is exactly the way the rhino is using the bird's 582 00:40:09,000 --> 00:40:12,160 Speaker 1: alarm call. Because there's no evidence that the birds are 583 00:40:12,280 --> 00:40:16,640 Speaker 1: intentionally warning the rhino of this threat. It's not like 584 00:40:16,680 --> 00:40:19,279 Speaker 1: the birds are like, hey, rhino, get out of the way. 585 00:40:19,320 --> 00:40:22,799 Speaker 1: They're warning each other. This is what they've evolved to 586 00:40:22,920 --> 00:40:26,600 Speaker 1: have this alert system with each other to warn themselves 587 00:40:26,680 --> 00:40:30,479 Speaker 1: of a threat. But the rhino has learned that this 588 00:40:30,520 --> 00:40:35,920 Speaker 1: call means humans and will use that knowledge to move away, 589 00:40:35,960 --> 00:40:39,200 Speaker 1: so exactly in the same way that that human researchers like, 590 00:40:39,280 --> 00:40:43,160 Speaker 1: I've learned this call means a leopard, I'm in danger, 591 00:40:44,280 --> 00:40:47,640 Speaker 1: um and uh. And so it's the same thing with 592 00:40:47,680 --> 00:40:51,279 Speaker 1: the rhino, but even more terrifying than a leopard. The 593 00:40:51,400 --> 00:40:55,719 Speaker 1: human and and also like that there's a bit of 594 00:40:55,760 --> 00:40:59,959 Speaker 1: self preservation there, I imagine from the bird in that. Uh, 595 00:41:00,200 --> 00:41:04,840 Speaker 1: if my little floating raft of food, my buffet, my 596 00:41:04,840 --> 00:41:08,320 Speaker 1: my tank of a buffet on the savannah gets killed 597 00:41:09,239 --> 00:41:12,560 Speaker 1: by these poachers, then I'm out of a food source. 598 00:41:13,040 --> 00:41:15,840 Speaker 1: It can't hurt. Yeah, it couldn't hurt for them to 599 00:41:15,920 --> 00:41:19,279 Speaker 1: warn the rhino. It's again, it's it's hard to know 600 00:41:19,320 --> 00:41:23,600 Speaker 1: whether that's just a happy coincidence or if there's any like, 601 00:41:23,680 --> 00:41:26,759 Speaker 1: any sort of intention that. I mean, I think it's 602 00:41:27,080 --> 00:41:29,400 Speaker 1: to say there's probably not much of an intention for 603 00:41:29,480 --> 00:41:31,799 Speaker 1: the bird to warn the rhino. I don't know if 604 00:41:31,800 --> 00:41:35,600 Speaker 1: they could logic that out, but I mean, maybe a 605 00:41:35,680 --> 00:41:38,480 Speaker 1: smarter bird. Uh. There are some birds that I would 606 00:41:38,600 --> 00:41:41,960 Speaker 1: not necessarily be surprised that they In fact, they may 607 00:41:42,000 --> 00:41:45,960 Speaker 1: sometimes use alarm calls. There. No, there are actually birds 608 00:41:46,000 --> 00:41:49,919 Speaker 1: that use alarm calls to scare other animals away from 609 00:41:50,000 --> 00:41:52,080 Speaker 1: some kind of food source so that they can get 610 00:41:52,120 --> 00:41:55,280 Speaker 1: to it, so they can There are definitely bird species. 611 00:41:55,320 --> 00:41:57,120 Speaker 1: I take it back, there are bird species that know 612 00:41:57,160 --> 00:41:59,120 Speaker 1: what they're doing, and they can use their alarm calls 613 00:41:59,160 --> 00:42:03,400 Speaker 1: to manipulate other There's so it's possible that these birds 614 00:42:03,480 --> 00:42:07,319 Speaker 1: are somehow they do know that if they alert that 615 00:42:07,400 --> 00:42:10,040 Speaker 1: the rhino will move away, which is much better for 616 00:42:10,080 --> 00:42:13,319 Speaker 1: them than having to like, you know, fly away and 617 00:42:13,360 --> 00:42:16,560 Speaker 1: find another another rhino to sit on. Um, but there's 618 00:42:16,560 --> 00:42:20,480 Speaker 1: no there's no evidence of that yet, so either way, 619 00:42:20,520 --> 00:42:23,840 Speaker 1: this is a lovely little system. The rhino gets warned, 620 00:42:24,040 --> 00:42:28,920 Speaker 1: the ox pecker gets to keep its perch, and humans 621 00:42:28,960 --> 00:42:32,840 Speaker 1: get to be thwarted by a dynamic duo. Beautiful. I 622 00:42:32,920 --> 00:42:37,960 Speaker 1: love it. So before we go, we've got to play 623 00:42:38,000 --> 00:42:41,880 Speaker 1: a game of mstery animal sounds a k and guess 624 00:42:41,920 --> 00:42:46,759 Speaker 1: who's squawking. Every week on the show, we play a 625 00:42:46,920 --> 00:42:53,040 Speaker 1: mystery animal sound and you try to guess who is squawking. First. 626 00:42:53,239 --> 00:42:57,520 Speaker 1: The hint from last week is this bald beauty is 627 00:42:57,560 --> 00:43:00,480 Speaker 1: found in the forests north of the Amazon On River. 628 00:43:00,960 --> 00:43:04,920 Speaker 1: It's named for its friar like appearance. But don't confuse 629 00:43:05,000 --> 00:43:09,120 Speaker 1: them with another monk like animal, because this mystery squawker 630 00:43:09,719 --> 00:43:23,920 Speaker 1: is not monkeying around. So very interesting call. What do 631 00:43:23,960 --> 00:43:29,720 Speaker 1: you think there's so based on the clues, I don't know. Um, 632 00:43:29,760 --> 00:43:32,239 Speaker 1: you said not monkeying around, which makes me want to 633 00:43:32,280 --> 00:43:36,000 Speaker 1: guess it's a monkey of some sort. Um is it 634 00:43:36,040 --> 00:43:41,400 Speaker 1: a howler. Nope, nope. I'm just gonna make you go 635 00:43:41,520 --> 00:43:45,080 Speaker 1: through every animal in the animal kingdom until you get 636 00:43:45,080 --> 00:43:49,240 Speaker 1: it in the Amazon, in the Amazon Rainforest, every every 637 00:43:49,280 --> 00:43:56,840 Speaker 1: animal ten percent of the world's biodiversity, and um, let's see. Uh. 638 00:43:58,760 --> 00:44:01,680 Speaker 1: I know you're joking, but I uh, I don't even 639 00:44:01,719 --> 00:44:04,440 Speaker 1: know what's a guess. I have no idea. I'm overwhelmed 640 00:44:04,480 --> 00:44:06,600 Speaker 1: with like I feel like I'm at a Blockbuster in 641 00:44:07,680 --> 00:44:10,719 Speaker 1: trying to pick a movie right now. That's how it is, 642 00:44:10,840 --> 00:44:14,640 Speaker 1: trying to identify animals in the Amazon. I think the 643 00:44:14,719 --> 00:44:20,880 Speaker 1: blockbusters of the world's ecosystems also endangered, so you know, 644 00:44:22,120 --> 00:44:25,799 Speaker 1: also under threat like the like the noble Blockbuster. But 645 00:44:25,880 --> 00:44:28,600 Speaker 1: we must do more to save the Amazon rainforest than 646 00:44:28,719 --> 00:44:32,479 Speaker 1: we did to save the Blockbuster, much more, much more, 647 00:44:33,040 --> 00:44:37,160 Speaker 1: much more important. Well, this squawker is actually the capuchin bird, 648 00:44:37,560 --> 00:44:44,080 Speaker 1: So congratulations Robert S. And congratulations to Emily M. Wow. 649 00:44:44,400 --> 00:44:49,319 Speaker 1: I did have some listeners. Guess the capuchin monkey. That 650 00:44:49,400 --> 00:44:51,440 Speaker 1: was my trap that I laid for you, because the 651 00:44:51,480 --> 00:44:58,840 Speaker 1: capuchin monkey not monkeying around them, I know, But but 652 00:44:59,000 --> 00:45:01,759 Speaker 1: was that a trick though? So it was it, But 653 00:45:01,840 --> 00:45:07,320 Speaker 1: I had no idea there were multiple capuchin animals. Yes, yeah, so, um, 654 00:45:07,360 --> 00:45:10,680 Speaker 1: you know, honorable mention for people who guess capuchin um. 655 00:45:11,000 --> 00:45:15,200 Speaker 1: The capuchin monkey is also found in South America and 656 00:45:15,560 --> 00:45:19,480 Speaker 1: is also named so because the monkey's black fur on 657 00:45:19,600 --> 00:45:22,400 Speaker 1: top of their heads and backs looks like a friar's rope. 658 00:45:22,440 --> 00:45:27,799 Speaker 1: So very similar animal, very similarly named. But no, it's 659 00:45:27,800 --> 00:45:33,360 Speaker 1: the capuchin bird. So these beautiful birds have blue, bald 660 00:45:33,400 --> 00:45:39,200 Speaker 1: heads and big fluffy, rusty orange brown feather coats. The 661 00:45:39,239 --> 00:45:43,120 Speaker 1: fluffiness of their feathers combined with the bald tops of 662 00:45:43,160 --> 00:45:47,800 Speaker 1: their heads, I think is it's both kind of funny 663 00:45:47,840 --> 00:45:51,680 Speaker 1: but also beautiful. And it definitely looks like they're wearing 664 00:45:51,680 --> 00:45:55,120 Speaker 1: a big fluffy coat with a hood, which I guess 665 00:45:55,160 --> 00:45:58,479 Speaker 1: to people look like a capuchin monk. I'm not sure 666 00:45:58,880 --> 00:46:01,600 Speaker 1: about that. To me, they look more of a Cruella 667 00:46:01,640 --> 00:46:03,920 Speaker 1: de Ville, kind of like I'm wearing a fur coat 668 00:46:04,400 --> 00:46:08,200 Speaker 1: pepe of deal, but absolutely gorgeous. Did you get a 669 00:46:08,239 --> 00:46:10,080 Speaker 1: chance to look at one of these guys? Oh, I 670 00:46:10,120 --> 00:46:12,520 Speaker 1: will look it up now. I'm I'm I enjoy your 671 00:46:12,640 --> 00:46:15,239 Speaker 1: descriptions and so I'm just imagining them in my head 672 00:46:15,280 --> 00:46:17,239 Speaker 1: and I forget that I can literally this is a 673 00:46:17,840 --> 00:46:25,080 Speaker 1: median bird. I'm I'm just I'm just enjoying the discription. 674 00:46:25,120 --> 00:46:30,800 Speaker 1: Oh wow, that is whoa that is okay, I love 675 00:46:30,960 --> 00:46:34,600 Speaker 1: all animals. That is a creepy looking bird. I think 676 00:46:35,080 --> 00:46:40,080 Speaker 1: I distinct looking. Okay, all right, distinguished. That's that's how 677 00:46:40,160 --> 00:46:44,040 Speaker 1: we'll go, just because you're right. It is like when 678 00:46:44,040 --> 00:46:47,640 Speaker 1: I think of like a somebody describing like a bald bird, 679 00:46:47,760 --> 00:46:50,040 Speaker 1: my mind just immediately goes like the bald eagle, which 680 00:46:50,040 --> 00:46:54,160 Speaker 1: obviously isn't actually bald. Uh No, that that is like 681 00:46:55,719 --> 00:46:58,719 Speaker 1: it does look like it's just wearing. It looks like 682 00:46:59,040 --> 00:47:06,960 Speaker 1: you wearing the neck brace pillow thing. Now, that's okay. 683 00:47:07,080 --> 00:47:09,239 Speaker 1: I think this is important for everyone to know. I 684 00:47:09,680 --> 00:47:11,360 Speaker 1: have a little bit of a sworneck, so I was 685 00:47:11,400 --> 00:47:15,960 Speaker 1: wearing instead of being normal and getting an actual neck brace, 686 00:47:16,000 --> 00:47:19,560 Speaker 1: I just used an airline pillow because I thought like, hey, 687 00:47:19,640 --> 00:47:21,680 Speaker 1: I got I got this laying around and it it 688 00:47:21,840 --> 00:47:25,319 Speaker 1: helps a little bit. Does the trick? Does the trick? 689 00:47:25,440 --> 00:47:28,400 Speaker 1: That's exactly what it looks like, it's wearing, wearing a 690 00:47:28,440 --> 00:47:31,320 Speaker 1: fluffy airline pillow but all over the rest of or 691 00:47:32,719 --> 00:47:37,799 Speaker 1: or comically oversized sweater. Yeah. Yeah, that's man, that is 692 00:47:37,840 --> 00:47:40,760 Speaker 1: a very cool looking bird look like a little bald 693 00:47:40,920 --> 00:47:45,799 Speaker 1: little man wearing a huge, fluffy mohair sweater. Okay, I've 694 00:47:45,840 --> 00:47:48,200 Speaker 1: I've come around. I've come around on it. I like 695 00:47:48,320 --> 00:47:52,640 Speaker 1: it now. I am no longer creeped out despite having 696 00:47:52,680 --> 00:47:55,520 Speaker 1: those bald, sort of vulture like heads. They actually don't 697 00:47:55,520 --> 00:48:00,120 Speaker 1: eat carrion. They eat insects and fruit. Some people have 698 00:48:00,400 --> 00:48:03,680 Speaker 1: said this this song sounds like a cow mowing. I don't. 699 00:48:03,760 --> 00:48:06,640 Speaker 1: I disagree. I think it sounds like maybe a possessed 700 00:48:06,719 --> 00:48:12,040 Speaker 1: cow mowing um, something possessed by Satan. But the capuchin 701 00:48:12,239 --> 00:48:15,600 Speaker 1: bird sings in lex which are display areas that males 702 00:48:15,640 --> 00:48:19,880 Speaker 1: gather to sing and impress females with their beautiful, chunky 703 00:48:19,960 --> 00:48:26,920 Speaker 1: mo hair coats. So onto this week's mystery animal sound. 704 00:48:27,239 --> 00:48:31,520 Speaker 1: Here is the hint. This happy little corn eating animal 705 00:48:31,600 --> 00:49:00,680 Speaker 1: may sound cute, but it's a little stuck up that 706 00:49:00,880 --> 00:49:07,400 Speaker 1: is so weird sounding. So okay, I have a guest 707 00:49:07,440 --> 00:49:10,839 Speaker 1: for that. I know I'm not supposed to know. Can 708 00:49:10,880 --> 00:49:18,439 Speaker 1: I guess? Is it a fox? No? One more free hint? 709 00:49:18,480 --> 00:49:22,520 Speaker 1: It's not a fox? Okay, all right, I've seen videos 710 00:49:22,560 --> 00:49:26,200 Speaker 1: where like foxes are like playing with people on camera 711 00:49:26,880 --> 00:49:29,080 Speaker 1: and like in a very playful way, and they make 712 00:49:29,160 --> 00:49:35,960 Speaker 1: the wildest human sounding like baby noises. Yeah, it's a 713 00:49:36,080 --> 00:49:39,720 Speaker 1: very good guess. You're right. Foxes make very interesting sounds, 714 00:49:39,880 --> 00:49:42,720 Speaker 1: and they can make like almost sounding like a human 715 00:49:42,760 --> 00:49:45,680 Speaker 1: crying or something. It's kind of creepy. Yeah, exactly. But 716 00:49:46,080 --> 00:49:48,839 Speaker 1: this is not a fox. It is something else. And 717 00:49:48,960 --> 00:49:52,200 Speaker 1: the answer to this will be revealed and next week's 718 00:49:52,280 --> 00:49:55,719 Speaker 1: Creature Feature. If you think you know the answer, you 719 00:49:55,719 --> 00:50:00,400 Speaker 1: can email me at Creature Feature Pod at gmail dot com. 720 00:50:00,719 --> 00:50:04,520 Speaker 1: I'm also on Twitter Creature Feet pod. That's e E T. 721 00:50:04,719 --> 00:50:08,239 Speaker 1: That's something very different, and on Instagram at Creature Feature Pod. 722 00:50:09,080 --> 00:50:11,640 Speaker 1: So will a k A Christie. I'm a gucca me. 723 00:50:12,239 --> 00:50:14,640 Speaker 1: Thank you so much for joining me. Tell tell the 724 00:50:14,719 --> 00:50:18,120 Speaker 1: people where they can't find you. Oh, thank you so 725 00:50:18,200 --> 00:50:21,080 Speaker 1: much for having me again. It was a delight as usual. 726 00:50:21,520 --> 00:50:24,920 Speaker 1: You can find me on Twitter at Wapple House w 727 00:50:25,040 --> 00:50:26,920 Speaker 1: A P P L E h O U s E 728 00:50:27,760 --> 00:50:30,600 Speaker 1: UM and that's pretty much where I I live most 729 00:50:30,640 --> 00:50:34,080 Speaker 1: of the time. Uh not in real life. UM, you 730 00:50:34,120 --> 00:50:36,640 Speaker 1: can find me on there. I don't even know what 731 00:50:36,680 --> 00:50:39,680 Speaker 1: my Instagram handle is, to be honest with you, it's uh, 732 00:50:39,760 --> 00:50:43,520 Speaker 1: it's long. There's underscores involved, so whenever I am stupidly 733 00:50:43,640 --> 00:50:46,640 Speaker 1: make a handle with underscores, I always forget where they're at, 734 00:50:47,040 --> 00:50:49,560 Speaker 1: so uh yeah, just find me on there. Um you 735 00:50:49,600 --> 00:50:54,160 Speaker 1: can listen to George Center pod or or George Center 736 00:50:54,320 --> 00:50:57,520 Speaker 1: um but at George Center pod on Twitter, um and 737 00:50:57,719 --> 00:50:59,560 Speaker 1: hour after hours. If you're a fan of the Damn 738 00:50:59,640 --> 00:51:03,160 Speaker 1: Lebatar Heart Show, um and uh enough of a fan 739 00:51:03,239 --> 00:51:05,319 Speaker 1: that you would make a podcast about being a fan 740 00:51:05,480 --> 00:51:07,439 Speaker 1: of the Damn Labator show, you can find me there 741 00:51:08,400 --> 00:51:10,880 Speaker 1: and thank you so much for listening. If you're enjoying 742 00:51:10,920 --> 00:51:14,319 Speaker 1: the show, please leave writing and review. I read all 743 00:51:14,320 --> 00:51:18,640 Speaker 1: the reviews. I love them so much. I really appreciate them, all, 744 00:51:19,160 --> 00:51:21,880 Speaker 1: cherished them, print them out, put them underneath my pillow, 745 00:51:22,000 --> 00:51:24,239 Speaker 1: and kiss them before I go to bed at night. Man, 746 00:51:24,280 --> 00:51:26,839 Speaker 1: thank you so much to the Space Classics where they're 747 00:51:26,880 --> 00:51:30,440 Speaker 1: super awesome song ex Alumina creat Your feature is a 748 00:51:30,480 --> 00:51:33,000 Speaker 1: production of I Heart Radio. For more podcasts like the 749 00:51:33,000 --> 00:51:35,000 Speaker 1: one you just heard, visit the I Heart Radio app, 750 00:51:35,000 --> 00:51:37,839 Speaker 1: Apple podcast, or Hey Guess what? Where have you listen 751 00:51:37,840 --> 00:51:40,480 Speaker 1: to your favorite shows? See you next Wednesday.