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Speaker 1: Welcome to Creature feature production of I Heart Radio. I'm

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Speaker 1: your host of Many Parasites, Katie Golden. I study psychology

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Speaker 1: and evolutionary biology, and I know that a lot has

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Speaker 1: been going on the past few weeks and we're all

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Speaker 1: probably pretty brain fried. But one thing I thought of

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Speaker 1: is that we've probably missed a lot of animal lose

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Speaker 1: because of all the other news which we aren't going

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Speaker 1: to talk about today. We're gonna take an animal news

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Speaker 1: and all the news that is fit to print an

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Speaker 1: audio form because this is a podcast anyways. So I'm

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Speaker 1: going to go through all of the incredible animal news

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Speaker 1: stories that you may have missed these past few weeks.

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Speaker 1: We're talking robotic wolves, bear Blade Runner, newly discovered flying

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Speaker 1: Teddy Bears, discovered this more as we asked the angel question,

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Speaker 1: and what the platypus rave like? Is it awesome? It

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Speaker 1: is spoilers, it is awesome. Joining me today is host

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Speaker 1: of the podcast, secretly incredibly fascinating and friend of the pod.

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Speaker 1: I'd like to say, I hope I'm not, you know,

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Speaker 1: just consuming too much a friend of the pod, Friend

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Speaker 1: of the pod, Alex Schmidt. Katie. It is like I

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Speaker 1: feel like every time I'm on this podcast. Very exciting.

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Speaker 1: It's also going into a podcast. People are always like,

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Speaker 1: I'm excited to be here, but like that intro, I'm

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Speaker 1: very excited to know about all these things. This is great.

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Speaker 1: I can't wait. Bear Blade Runner doesn't just very exciting.

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Speaker 1: I don't remember what the theme song to Blade Runner was.

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Speaker 1: Was it like Blade Runner, it's in the future. Yes,

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Speaker 1: Later on he had a standard like thirty second upbeat

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Speaker 1: television theme song that's part of lading Yeah, played by staying.

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Speaker 1: It was weird. It was in sting we're in the future,

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Speaker 1: robot people are here Blade Runner. Let me tell you

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Speaker 1: a little story about a man named Blade and then

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Speaker 1: you just go yeah. But yeah, we're going to talk

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Speaker 1: about bear Blade Runner because apparently while we've been distracted

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Speaker 1: with elections, the world has been creating a bear Blade

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Speaker 1: Runner for bears, a bare new future. So in Japan,

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Speaker 1: in Tachikawa, they have built huge, terrifying woolf robots with

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Speaker 1: glowing red eyes that are being used to scare bears. Okay,

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Speaker 1: so this so it's it's bear Blade Runner because the

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Speaker 1: bears are being hunted down like the robots were hunted

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Speaker 1: down in Blade Runner. It's not being the hunting. I

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Speaker 1: didn't think that through, honestly, Alex, I didn't think it

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Speaker 1: through that far. I just saw a robot. I saw

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Speaker 1: a robot. I saw I had to do with bears

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Speaker 1: as like bears and a wolf robot. This is bear

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Speaker 1: blade Runner. So yeah, I think if I remember right,

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Speaker 1: no one cares. But if I remember right, the blade

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Speaker 1: Runners are the hunters, which in the movie, then that's

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Speaker 1: the question of is he a robot or not? But

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Speaker 1: if I remember, the blade Runner is the hunter hunting

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Speaker 1: the robots, So a Bear blade Runner would be somebody

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Speaker 1: hunting bears. That makes sense, yeah, right. But these wolf

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Speaker 1: robots I do not think would pass the Turing tests

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Speaker 1: or whatever is the test they use in the movie

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Speaker 1: where they're like, what would you do do a turtle?

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Speaker 1: Like they asked the robots, hey, are you a robot?

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Speaker 1: And they're like no, and then they're like, hey would

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Speaker 1: you if you found a turtle on its back in

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Speaker 1: the desert? What would you do? And they're like, I'm

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Speaker 1: a robot. I don't know what I would do. But

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Speaker 1: these are not very I wouldn't say convincing wolf robots,

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Speaker 1: but terrifying. They look like Halloween decorations. In fact, I

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Speaker 1: feel like they may have been made out of parts

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Speaker 1: of Halloween decorations. But they have glowing red eyes, they

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Speaker 1: move around and kind of gyrate around. They have weird

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Speaker 1: robot legs that just kind of like sort of stops

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Speaker 1: looking like a wolf at one point and looks like

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Speaker 1: a metal stick figure. Anyways, But yeah, it's got it's

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Speaker 1: got like a fake rubber wolf head, and then it

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Speaker 1: makes terrifying noises as well. Let me play some of

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Speaker 1: these for you. So yeah, it's you know, kind of

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Speaker 1: I'm not I think part of that what was wolf noises,

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Speaker 1: and then it sounded a bit like birds. I'm not

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Speaker 1: really sure it really escalated. It initially sounded like standard

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Speaker 1: horror movie sound effects from maybe, and then it was

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Speaker 1: like it's like if you know how there there's a

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Speaker 1: human will turn into a were wolf wolf and then

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Speaker 1: they like, yeah, yeah, now I know how that is

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Speaker 1: for sure. Yeah, yeah, it's so they make the noises,

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Speaker 1: they flash, the head turns around and this is too

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Speaker 1: scare bears, which I can I can imagine it would

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Speaker 1: scare bears. You have a possessed devil robot wolf making

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Speaker 1: horrible sounds. Poor bears. They have been encroaching on human

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Speaker 1: populated areas recently, and I say encroaching with a bit

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Speaker 1: of irony because of course humans are the ones that

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Speaker 1: have been encroaching on the bears territory and the reason

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Speaker 1: that they have had more interactions with humans. There have

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Speaker 1: actually been more bear attacks in this region, which is

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Speaker 1: very serious. But this has been due to the fact

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Speaker 1: that there's a short stage of acorns that the black

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Speaker 1: bears in the region in Japan used to supplement their diet,

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Speaker 1: and because of deforestation and human developments kind of getting

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Speaker 1: closer and closer to the bear's habitat and taking up

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Speaker 1: more of it, it makes these bears desperate for food

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Speaker 1: and come into the human populated area, and so in

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Speaker 1: order to reduce the number of bear attacks, the city

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Speaker 1: has deployed these wolf robots to scare them away, and

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Speaker 1: I I get it. I think it's important you don't

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Speaker 1: want bear attacks at all, obviously for humans and also

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Speaker 1: for the bears, because when you have a bear attack,

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Speaker 1: often you have to actually put down the bear itself.

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Speaker 1: So keeping them away from human populated areas, even if

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Speaker 1: it is with freaking terminator wolf over here, I think

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Speaker 1: makes sense. On the other hand, I think it is

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Speaker 1: just a band aid on the bigger issue, which is

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Speaker 1: that they need more or food in acorns and territory.

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Speaker 1: Otherwise they're going to keep you know, uh like at

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Speaker 1: a certain point, I feel like they'll become desensitized to

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Speaker 1: the wolf robot and just start coming into human areas

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Speaker 1: anyways if they if their food problem is not solved.

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Speaker 1: So yeah, yeah, you're very nice to send a picture

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Speaker 1: as well, And between the picture and the sound, I

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Speaker 1: feel like this is trying to solve the problem both ways.

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Speaker 1: Where you scare bears out of the region and you

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Speaker 1: scare humans out of the region. There's no bear attack

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Speaker 1: if there's no people to get attacked, right, fixed, right,

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Speaker 1: exactly knocked it out. This belongs to the robot wolves,

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Speaker 1: now are we sure? Are we sure? Like? Whoever selling

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Speaker 1: these robot wolves? I imagine like coming in in the

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Speaker 1: wolf robot wolf truck, like they have sort of a

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Speaker 1: human costume on. They're like, we come bearing robot wolves

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Speaker 1: for your small village to scare the beards. Oh that's

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Speaker 1: another thing we need to be concerned about, is anyone's

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Speaker 1: selling human costumes. There is never a good scenario where

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Speaker 1: a being is like I would like one human costume.

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Speaker 1: It's only to deceive us. It's only we need to

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Speaker 1: stop manufacturing them in our huge human costume factories. Yeah,

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Speaker 1: I mean, I think you're being a little paranoid, Alex.

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Speaker 1: It's not like a flock of super intelligent birds would

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Speaker 1: use a human costume to do a podcast. Anyways. Facial

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Speaker 1: recognition of bears, Katie, did it? Did a feather just

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Speaker 1: fall out of your eye? That was weird? No? That

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Speaker 1: was that was normal perspiration anyways. Uh. Step two in

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Speaker 1: bear Blade Runner is facial recognition of bears For bears.

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Speaker 1: Bears are just having technology thrown at them, and I

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Speaker 1: I don't know how they're going to deal with it.

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Speaker 1: So uh. Silcon Valley software developers are making bear facial

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Speaker 1: recognition along with bear researchers in Canada, and the project

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Speaker 1: is called Bear I D which I feel like you

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Speaker 1: could be a little more inventive with your evil seeming

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Speaker 1: bare facial recognition software like bear faced is right there,

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Speaker 1: fair Faced. Purportedly, this technology is being used for bear

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Speaker 1: conservation studies to be able to track individual bears. So

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Speaker 1: to figure out how to make this software, it's kind

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Speaker 1: of an interesting path via software developers took. They took

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Speaker 1: cues from a program called dog Hipsterizer, which can find

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Speaker 1: dogs faces, eyes and snouts and photos and puts the

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Speaker 1: little mustache she's in glasses on them. Yeah, we all

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Speaker 1: know that app from its recent Nobel Prize win. I mean,

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Speaker 1: it's a pretty pretty common scientific achievement and has absolutely

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Speaker 1: it's an absolute disrupter in the dog face app tech industry. Yeah,

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Speaker 1: and so they're like, oh, how do we you know,

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Speaker 1: we've got facial recognition for humans, but now we need

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Speaker 1: it for bears so the government can track the bears

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Speaker 1: and the I R s can hunt them down or whatever. Yeah.

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Speaker 1: I love that. They're like, huh, well, this app, these

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Speaker 1: app developers already did it with their technology to put

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Speaker 1: glasses on hipster glasses on dogs to make your chihuahua

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Speaker 1: look like a hipster. So we'll just use what they

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Speaker 1: did and but put it on bears for science research. Um.

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Speaker 1: So you know my opinion on this news is if

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Speaker 1: this is used for conservation, which they are claiming it is,

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Speaker 1: this is great because then you can use it to

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Speaker 1: I D individual bears and track them. You don't have

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Speaker 1: to collect them tranquilize them and and tag them or anything,

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Speaker 1: or you know, try to spot them by visual differences.

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Speaker 1: That can be hard to do as a researcher. And

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Speaker 1: so that would mean a lot for conservation, especially if

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Speaker 1: it can adopt this technology to other animals. But if

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Speaker 1: we're going to be in a bear surveillance state where

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Speaker 1: the government is tracking down rogue bears, I don't know.

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Speaker 1: I can't support it. Yeah, yeah, watch out for watch

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Speaker 1: out for bear brother another name they could have used

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Speaker 1: for this software. That's there's so many out there, work

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Speaker 1: harder at this element, scientists. Please be better, far better,

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Speaker 1: bear best bear. All these pictures are amazing, But if

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Speaker 1: this is a mock up of how it works, I

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Speaker 1: feel like they didn't try that hard. Like it's just

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Speaker 1: it's a picture of a bear and then there's a

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Speaker 1: red square around the bear's whole head, and then there's

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Speaker 1: just a triangle where the three points are its eyes

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Speaker 1: and its nose point. Like that doesn't it doesn't seem

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Speaker 1: like it's trying bad hard to identify that. I mean,

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Speaker 1: I mean, I get I get what it's doing. It's

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Speaker 1: like saying, like here's the bare face we've we've spotted

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Speaker 1: the bear face, and then this is how far its

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Speaker 1: eyes are from its snout. I guess kind of like

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Speaker 1: detecting very small differences in individuals. But it does look

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Speaker 1: very simplistic, doesn't it, Like, well, here's the bare head,

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Speaker 1: which is vaguely square shaped, and then it's nose triangle.

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Speaker 1: I'm a smart computer, this is bear. Bears are just

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Speaker 1: triangles on squares. When you think about it, what if

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Speaker 1: the software really just tells you whether something is a

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Speaker 1: bear or not, Like it can't distinguish between bear right,

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Speaker 1: Like you right, you pointed out like a like a

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Speaker 1: blue jay, it's like, not bear. You pointed out a coyote,

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Speaker 1: not bear, and then you pointed out a bear, and

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Speaker 1: it's like, that's a bear, and then you know, you

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Speaker 1: know that's a bear. You would also know it's a bear,

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Speaker 1: like the bear is already charging at you and then

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Speaker 1: gets your whole face and it's out in the programs

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Speaker 1: going like yep, definitely bear. And also I feel like

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Speaker 1: in every Silicon Valley story it's that. And then the

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Speaker 1: next line is the company was valued at ten trillion dollars.

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Speaker 1: They always expect this to change the world. There's there's

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Speaker 1: big bucks and bear surveillance. Yeah, I do hope also

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Speaker 1: because they got the technology from dog Hipsterizer that we

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Speaker 1: will be able to put hats and little glasses and

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Speaker 1: little mustaches on bears. I'm just saying the technology is

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Speaker 1: already there, a whimsical bear surveillance state, right, perfect, right,

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Speaker 1: how do you do? It's me? Mr Bear two plus

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Speaker 1: two is five? Ha ha. It's nice within the totalitarian element,

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Speaker 1: right right right, freedom is freedom is bear bear? Big? Wait,

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Speaker 1: what bear? I don't know. That's another name. That's it.

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Speaker 1: That's the name of this thing. Yeah, exactly, a bare

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Speaker 1: New World. Yep, No, it's it's good. We're gonna be

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Speaker 1: I guess turning bears into soldiers. I don't know, I'm

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Speaker 1: I'm I'm guessing we're gonna Okay, we're gonna scare them

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Speaker 1: with the with the wolf robots be able to track

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Speaker 1: them down, and then I guess the next step is

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Speaker 1: to convince them that in order to fight the robot

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Speaker 1: wolf scourge, they must join the U. S. Military. Well,

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Speaker 1: we were warned, you know, like as soon as the

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Speaker 1: election is over, they're going to implement these bear policies

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Speaker 1: and we have to be vigilant and well, now we're here.

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Speaker 1: You know. The bear army. Yeah, you know, so just

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Speaker 1: keep your keep your eyes open for uh, a bear

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Speaker 1: army that is waging war on robot wolves. Another bare news,

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Speaker 1: a bear in King's Beach, California rated a convenience store

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Speaker 1: for snacks. The bear ate a bunch of candy bars

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Speaker 1: before being chased out and slapped on the butt by

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Speaker 1: the owner. But before you judge this bear, you should

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Speaker 1: know that the bear was recovering from a leg injury

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Speaker 1: and just wanted to have a few snickers. For God's sake.

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Speaker 1: The bear was captured by wildlife officials and relocated, which

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Speaker 1: barely seems fair. When we return, we're going to discuss

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Speaker 1: some more suspicious species in the news. Human politicians often

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Speaker 1: seemed to fail us, so why not a different kind

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Speaker 1: of political animal. Apparently, the idea of voting for an

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Speaker 1: animal as an elected official has been quite popular. In

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Speaker 1: two Yo Yo, the billygoat was elected to be city

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Speaker 1: counselor of Fortaleza, Sierra Brazil. In Curtis, the mule was

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Speaker 1: unanimously elected for a Republican precinct seat, and Milt in Washington, Bosco,

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Speaker 1: the dog was elected mayor of Soon all California. In

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Speaker 1: one in a cat named Stubbs was elected honorary mayor

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Speaker 1: of Talquitna, Alaska. And in ten Lincoln the Goat won

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Speaker 1: his election for mayor of fair Haven, Vermont, defeating Sammy

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Speaker 1: the Samoya Dog by two votes. I hope Sammy demanded

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Speaker 1: a recount. But sometimes voting for animals goes beyond symbolism

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Speaker 1: and has real policy and environmental implications. So, Alex, Uh,

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Speaker 1: you know, I feel like people have probably been paying

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Speaker 1: attention to the election and stuff, but I think people

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Speaker 1: have missed perhaps the most important election results of all time. Oh,

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Speaker 1: and that is in Colorado, wolves got voted in. They

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Speaker 1: got voted in, Alex. The wolves got voted in a

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Speaker 1: Colorado like voted in existing in the state or of

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Speaker 1: the legislature. They got voted in to Colorado. They won

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Speaker 1: the election, and now they get to be in Colorado.

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Speaker 1: This is literally actually what it was. So there was

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Speaker 1: a proposition in Colorado to reintroduce gray wolves to the

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Speaker 1: southern Rockies. So gray wolves, which are basically you know,

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Speaker 1: gray wolves are the standard wolf. They are basically all

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Speaker 1: the wolves in the world. Uh, And they have been

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Speaker 1: hunted to extinction in the area. There have been no

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Speaker 1: wolves in the Southern Rockies since the nineteen forties, and

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Speaker 1: the people of Colorado voted and they voted to bring

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Speaker 1: back the gray wolf and to reintroduce them to the area,

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Speaker 1: which conservationists have said that the Southern Rocky Mountain area

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Speaker 1: has capacity for hundreds of wolves to thrive. Before the

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Speaker 1: fire marshal kicks him out. If you go over that

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Speaker 1: fire marshal says, out of here. Alright, alright, alright, shut

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Speaker 1: it all down. The wolf rave. They got the robot

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Speaker 1: wolf playing skirl x just pumping out, pumping out stick peek. Yeah,

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Speaker 1: it's interesting because it was narrowly passed. It did not

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Speaker 1: pass by a landslide. There, the wolves have not gotten

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Speaker 1: a mandate unfortunately, wolf supermajority. Yeah, there we go. The

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Speaker 1: opponents worry that the wolves will reduce the elk population.

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Speaker 1: Ranchers are worried that the wolves will attack their cattle.

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Speaker 1: In terms of them reducing the elk population, I don't

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Speaker 1: think that's really that much of a concern in my

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Speaker 1: personal non elk expert opinion, because well, in general, like

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Speaker 1: wolves and predator animals can actually be really good for

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Speaker 1: prey animal populations, like when they When you have a

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Speaker 1: good balance of prey to predator, the predators actually keep

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Speaker 1: the prey from dangers like overpopulation, mass starvation, uh, and disease.

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Speaker 1: So I feel like if anything, introducing the wolves might

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Speaker 1: actually be good for the elk population. I guess it

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Speaker 1: all depends on the balance, like the number of wolves

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Speaker 1: to elk and how things have changed since they went

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Speaker 1: extinct from the area, because obviously when when you have

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Speaker 1: an animal, one of the tricky things with reintroducing them

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Speaker 1: is if the environment and balance of things have changed

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Speaker 1: since they disappeared from the area and then you suddenly

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Speaker 1: reintroduce them, there can be some issues. But I think

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Speaker 1: that you know, we've done We've done a lot of

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Speaker 1: successful reintroduction of species that I'm I think conservationists are

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Speaker 1: well aware of all those issues and will probably be

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Speaker 1: pretty careful about that. And they're not They're not just

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Speaker 1: like dumping hundreds of wolves all at once, like they're saying,

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Speaker 1: this is going to take years to like we build

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Speaker 1: up to Yeah, and they and they haven't been there

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Speaker 1: since then you said, that's amazing, Yeah, yeah, want to

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Speaker 1: come back and for what it is, you know, great,

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Speaker 1: and like uh yeah, and A bit of evidence for

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Speaker 1: the wolves actually being good for potentially good for the

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Speaker 1: elk population is that in another area in Yellowstone, the

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Speaker 1: wolf population maybe saving the deer population from a deadly

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Speaker 1: brain disease called chronic wasting disease. Oh, I've heard of this.

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Speaker 1: By picking off the deer that have the disease and

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Speaker 1: preventing it from spreading, the wolves are actually saving the

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Speaker 1: deer population from this disease. So like the disease can

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Speaker 1: spread from deer to deer, I don't think it can

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Speaker 1: spread to wolves yet, but it is a concern, like

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Speaker 1: whenever you have a zoonotic disease that it could jump

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Speaker 1: from deer to other species, including humans. So the wolves

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Speaker 1: are heroes, their hero doctor wolves. Wh am. I you

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Speaker 1: probably know more about it than me. But am I

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Speaker 1: overdoing it if I say the chronic chronic wasting disease

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Speaker 1: is sort of like zombie ism and pop culture. That's

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Speaker 1: what I've heard of. Compared to Yeah, I think because

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Speaker 1: it does attack the brain, it is a little bit concerning.

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Speaker 1: I don't I don't know that these deer are eating

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Speaker 1: other deer brains necessarily um or or like stomping around

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Speaker 1: on their hind hooves like with their front legs kind

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Speaker 1: of sticking out and go like right at a tattered

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Speaker 1: shirt from their old profession, and everything right right, right right,

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Speaker 1: a bunch of like like football players and patterns, and like,

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Speaker 1: oh a priest. How ironic that they're now a flesh eater.

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Speaker 1: That is really commentary someone in a hazmat suit. Now,

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Speaker 1: how did that deer in the hazmat suit get the

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Speaker 1: zombie ism? Because you think now I have the main character,

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Speaker 1: I'm frowning at this new development. Yeah, yeah, sure, but

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Speaker 1: yeah it is so like this is a really good

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Speaker 1: example of how predators can actually be good in general

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Speaker 1: for a prey population. Obviously it sucks for whatever dear

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Speaker 1: they end up eating. But like, if you have deer

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Speaker 1: that have the chronic wasting disease and the wolves kill

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Speaker 1: them and eat them, it prevents it from spreading. Uh,

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Speaker 1: And you know, if anything, like, it's probably marginally sucks

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Speaker 1: less to get eaten by a wolf than to die

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Speaker 1: of chronic wasting disease. I don't, I don't. Actually no,

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Speaker 1: I'm going to say maybe I would potentially prefer to

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Speaker 1: get eaten by a wolf then go out by chronic

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Speaker 1: wasting disease. Yeah, if you're if you're a deer right

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Speaker 1: in the Creature Feature podcast at one to three Main Street.

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Speaker 1: Anytime you want, say and let us know what you're Yeah,

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Speaker 1: call into the show at one. Death by Wolves uh

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Speaker 1: so uh yeah. It shows the importance of predator prey

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Speaker 1: balance in nature, sure, and also the importance to humans.

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Speaker 1: Like if this chronic wasting disease God forbid mutates and

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Speaker 1: is able to jump from dear to human, that is

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Speaker 1: really bad. That could be another Like, you know, I

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Speaker 1: don't want to scare people. This is all very low probability.

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Speaker 1: It's just like whenever whenever you have a disease or

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Speaker 1: a virus and you give it time to mutate and evolve,

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Speaker 1: like you're rolling the die over and over again for

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Speaker 1: it to be able to jump from one animal to another.

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Speaker 1: Um And so you just like but like by reducing

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Speaker 1: the chance that that happens, you reduce the chance of it,

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Speaker 1: you know, spreading to humans and potentially being a disease

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Speaker 1: that that humans have to deal with. Um. So yeah,

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Speaker 1: thank you wolves, hero doctors. Yeah, and just Andrew, I

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Speaker 1: wish I knew more about wolf conservation in general. It

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Speaker 1: seems really cool I used to work at Brookfield Zoo

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Speaker 1: as a tour guide and we had Mexican gray wolves

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Speaker 1: on exhibit and because that was I guess because the

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Speaker 1: Mexican population of gray wolves is distinct and was way

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Speaker 1: way down, so they were trying to conserve them bring

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Speaker 1: them back. But it's so easy for people to be

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Speaker 1: like predator fire, you know, and then and then we

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Speaker 1: got to save them too. Yeah, yeah, exactly, Yeah, Yeah,

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Speaker 1: I think it is. It's really important to remember that

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Speaker 1: once an animal is taken out of the game, Like

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Speaker 1: I kind of use this metaphor a lot, where you know,

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Speaker 1: the environment is sort of like a game of Jenga,

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Speaker 1: and you take out an animal and you don't know,

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Speaker 1: you don't know, like once you take out one animally,

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Speaker 1: you don't know which one is gonna like mess up

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Speaker 1: the tower of Jenga. And the more animals you take out,

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Speaker 1: the more unstable it becomes. So yeah, I'm I think

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Speaker 1: I mean, obviously I don't know some of the ins

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Speaker 1: and outs of reintroducing these wolves, but I think it

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Speaker 1: sounds like a good idea. Yeah, and you can you

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Speaker 1: can sue me if it turns out not to be

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Speaker 1: a good idea. Send your subpoena or whatever to one

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Speaker 1: death by wolf. But if you want to talk about

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Speaker 1: introducing a species that is not a good idea, let's

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Speaker 1: talk about the giant murder hornets that everyone is all

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Speaker 1: a buzz about. I'm so pleased to be back for

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Speaker 1: more murder hornet news. I believe yea, yeah, yeah, murder

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Speaker 1: hornet news. That's very exciting, was it. Well, Welcome back,

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Speaker 1: Alex to the The Katie Alex Podcast. Within the podcast

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Speaker 1: murder Hornet. Uh, just dial MH for murder hornets. There

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Speaker 1: it is let of touchstones, touch tone stuff in this episode.

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Speaker 1: I can't talk, but it's fun. It's good. We're fine.

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Speaker 1: We're fine. Our brains are good and healthy and normal

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Speaker 1: after the last few weeks. So here's the difference between

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Speaker 1: reintroducing like a species that used to be indigenous to

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Speaker 1: an area and introducing a species that is and invasive species.

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Speaker 1: So wolves are indigenous animals being reintroduced. They are suited

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Speaker 1: for that environment and their prey. The elk probably still

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Speaker 1: have a lot of the defense mechanisms that they had

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Speaker 1: while the wolves were there in order to prevent them

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Speaker 1: from just being all killed by the wolves. So you

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Speaker 1: have you reintroduced the wolves. It's basically inserting them back

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Speaker 1: in the balance. As long as things haven't changed too

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Speaker 1: much since the wolves have been gone, shouldn't be too

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Speaker 1: harsh of a transition. Meanwhile, when you have an invasive

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Speaker 1: species like the giant murder hornets, So giant murder hornets,

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Speaker 1: um are not just kid a kid, They're not so

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Speaker 1: I don't think they They're not like bad animals. So

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Speaker 1: like the areas in which they are originally found, like

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Speaker 1: in countries in Asia, the animals there have developed antipredator

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Speaker 1: defense mechanisms against the giant murder hornets, so they the

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Speaker 1: giant murder hornets are kept in check by a series

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Speaker 1: of checks and balances. Damn it, I don't want to

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Speaker 1: talk about politics anymore in this podcast. So they are,

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Speaker 1: but they have been accidentally introduced into North America, which

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Speaker 1: is really bad because our bees, both are native bees,

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Speaker 1: and our honey bees, which are not native but they

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Speaker 1: are like our domesticated population of bees, are both in

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Speaker 1: danger from this invasive species of murder hornets because they

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Speaker 1: just don't have any defensive and the murder hornets are

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Speaker 1: huge and they can decapitate a bunch of bees at

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Speaker 1: an alarming rate master decapitators. So that's where we are

426
00:27:44,560 --> 00:27:48,800
Speaker 1: with the murder hornets. But here's uh murder hornet update.

427
00:27:49,000 --> 00:27:51,400
Speaker 1: Maybe I do a sound effect here, or if maybe

428
00:27:51,600 --> 00:27:53,280
Speaker 1: I'll probably be too lazy to do that. Should we

429
00:27:53,320 --> 00:27:55,040
Speaker 1: do our own like, let's do our own thing like

430
00:27:55,040 --> 00:28:00,200
Speaker 1: we wi we wi we Murder hornet update, Buds trying

431
00:28:00,240 --> 00:28:10,640
Speaker 1: to do like you did it in the morning with

432
00:28:10,720 --> 00:28:13,560
Speaker 1: Katie and the Spas. I'm the Spas now it's my

433
00:28:13,640 --> 00:28:20,720
Speaker 1: nickname on the show. So in Blaine Whatcom County, Washington,

434
00:28:20,880 --> 00:28:25,719
Speaker 1: state entomologists have found the first murder hornet nest filled

435
00:28:25,800 --> 00:28:30,040
Speaker 1: with queen murder hornets. So when did you find them?

436
00:28:30,080 --> 00:28:34,440
Speaker 1: Just queens? No, not just queens, but had a bunch

437
00:28:34,480 --> 00:28:38,120
Speaker 1: of queens in it. I'm sorry, it's not all it's

438
00:28:38,200 --> 00:28:42,200
Speaker 1: like oops, all queens murder hornet nest. No, No, there

439
00:28:42,240 --> 00:28:44,720
Speaker 1: were workers in the nest as well. So the way

440
00:28:44,760 --> 00:28:47,760
Speaker 1: that they do it is when they find a murder hornet,

441
00:28:47,800 --> 00:28:50,320
Speaker 1: they don't just like kill it with fire like the

442
00:28:50,400 --> 00:28:54,200
Speaker 1: people want them to. They actually trap it, put a

443
00:28:54,360 --> 00:28:57,680
Speaker 1: radio tracker on it, and then revived them with a

444
00:28:57,720 --> 00:29:01,880
Speaker 1: little bit of grape jelly. Wait, which is my favorite

445
00:29:01,880 --> 00:29:04,480
Speaker 1: part of it. Okay, yes, so they knocked them out

446
00:29:04,760 --> 00:29:08,320
Speaker 1: like with ether or something like a cartoon well yeah,

447
00:29:08,520 --> 00:29:10,880
Speaker 1: or just like chill them. I'm not exactly sure how

448
00:29:10,920 --> 00:29:13,400
Speaker 1: they knocked them out, but yeah, they trapped them, put

449
00:29:13,400 --> 00:29:15,720
Speaker 1: a radio tracker on them, revived them with a little

450
00:29:15,720 --> 00:29:19,240
Speaker 1: bit of grape jelly, which is kind of and then

451
00:29:19,280 --> 00:29:22,920
Speaker 1: like follow them back to the nest so that they

452
00:29:22,960 --> 00:29:27,040
Speaker 1: can actually destroy the nest, because killing a worker murder

453
00:29:27,080 --> 00:29:29,760
Speaker 1: hornet doesn't really get you anything if there's still a

454
00:29:29,800 --> 00:29:32,960
Speaker 1: nest out there with queens, because the worker murder hornets

455
00:29:33,040 --> 00:29:37,920
Speaker 1: are most likely likely not going to be reproducing, whereas

456
00:29:38,000 --> 00:29:41,960
Speaker 1: the queens are the ones that are reproducing. And so

457
00:29:42,280 --> 00:29:45,360
Speaker 1: standard anti mafia stuff like don't worry about exactly the

458
00:29:45,400 --> 00:29:49,680
Speaker 1: foot soldiers, right exactly. So uh, yeah, so you gotta

459
00:29:49,800 --> 00:29:56,200
Speaker 1: have them lead them back to their hideout and yeah,

460
00:29:56,200 --> 00:29:58,520
Speaker 1: throwing in a little bit of grape jelly to you know,

461
00:29:58,680 --> 00:30:02,160
Speaker 1: kind of grease the wheels them. Quiet. Hush jelly, never

462
00:30:02,240 --> 00:30:05,480
Speaker 1: hurt nobody, you know, a little bit of hush jelly.

463
00:30:05,520 --> 00:30:08,920
Speaker 1: So then they followed this this murder hornet back to

464
00:30:09,240 --> 00:30:11,560
Speaker 1: the nest, and indeed they found the nest and it

465
00:30:11,640 --> 00:30:15,920
Speaker 1: had I think several queens in it and they destroyed it.

466
00:30:16,160 --> 00:30:20,200
Speaker 1: So that's good because, yeah, you don't want we do

467
00:30:20,280 --> 00:30:23,200
Speaker 1: not want the murder hornets to get a foothold in

468
00:30:24,280 --> 00:30:28,440
Speaker 1: uh in North America because our native bee populations just

469
00:30:28,520 --> 00:30:31,760
Speaker 1: wouldn't know how to handle it. You know, we could

470
00:30:31,760 --> 00:30:34,400
Speaker 1: get we could try to train them like Rocky, give

471
00:30:34,440 --> 00:30:36,760
Speaker 1: them a little tiny boxing gloves, but you know, I

472
00:30:36,760 --> 00:30:39,000
Speaker 1: don't know that's there's a lot of bees, so that

473
00:30:39,000 --> 00:30:41,400
Speaker 1: would be very time consuming. Yeah, if I if I

474
00:30:41,440 --> 00:30:45,000
Speaker 1: remember right, the Japanese honey bees would do some kind

475
00:30:45,000 --> 00:30:47,880
Speaker 1: of thing where they surround and explode the murder hornets,

476
00:30:47,920 --> 00:30:50,800
Speaker 1: which seems hard to teach. You can't you can't just

477
00:30:50,880 --> 00:30:54,880
Speaker 1: like learn that in a school for bees. Yeah, school

478
00:30:54,920 --> 00:30:58,680
Speaker 1: for bees. So that would be a fun show. But no, no, no, yeah,

479
00:30:58,760 --> 00:31:03,440
Speaker 1: you're completely correct. Uh. These Japanese honey bees will surround

480
00:31:03,760 --> 00:31:09,120
Speaker 1: the invading murder hornets and then vibrate their bodies, heating

481
00:31:09,400 --> 00:31:15,360
Speaker 1: them up such that the invading hornets will basically boil

482
00:31:15,560 --> 00:31:19,880
Speaker 1: to death as Yeah. Yeah, as they heat up, heat

483
00:31:19,920 --> 00:31:24,120
Speaker 1: up the murder hornet with their little angry vibrating bodies. Um.

484
00:31:24,160 --> 00:31:27,240
Speaker 1: I think they also like drop the oxygen level. Uh

485
00:31:27,600 --> 00:31:30,120
Speaker 1: in the in the big bee ball, so like they're

486
00:31:30,560 --> 00:31:35,560
Speaker 1: suffocating and boiling the hornet to death and they can

487
00:31:35,800 --> 00:31:40,360
Speaker 1: pretty effectively defend their high against hornets this way, and

488
00:31:40,480 --> 00:31:43,240
Speaker 1: so yeah, but our bees don't know how to do that,

489
00:31:43,440 --> 00:31:46,400
Speaker 1: so they're yeah, right, we can't just do a training

490
00:31:46,440 --> 00:31:50,760
Speaker 1: montage wherever we like, it's going to be yeah, like vibrate,

491
00:31:50,960 --> 00:31:54,000
Speaker 1: come on, you can do what boy vibrates so well,

492
00:31:54,040 --> 00:31:56,560
Speaker 1: actually they're all all of these bees would be would

493
00:31:56,560 --> 00:31:59,720
Speaker 1: be girls because they are well females, because all the

494
00:32:00,320 --> 00:32:04,720
Speaker 1: worker bees are female. So it'd be come on, come on, gals,

495
00:32:04,800 --> 00:32:08,200
Speaker 1: you can do this. You just gotta vibrate harder. There's

496
00:32:08,240 --> 00:32:12,080
Speaker 1: no crying in defensive vibration is the female sports movie.

497
00:32:12,440 --> 00:32:16,800
Speaker 1: I guess, just like dump a gallon of gatorade on

498
00:32:16,840 --> 00:32:22,680
Speaker 1: them and all the bees die. Anyways, and then our

499
00:32:22,840 --> 00:32:29,640
Speaker 1: last bit of specious species, suspicious species. Uh, this is

500
00:32:29,680 --> 00:32:33,240
Speaker 1: actually great news, which is that two new species of

501
00:32:33,400 --> 00:32:38,800
Speaker 1: greater glider have been discovered in Australia. So we have talked, yes,

502
00:32:38,920 --> 00:32:43,120
Speaker 1: we have talked about greater gliders before. They are Australian marsupials.

503
00:32:43,160 --> 00:32:46,520
Speaker 1: They are the largest gliding mammal in the world. They

504
00:32:46,520 --> 00:32:50,360
Speaker 1: are about seventeen inches long, that's about forty three centimeters

505
00:32:50,800 --> 00:32:54,000
Speaker 1: and they look like big teddy bears with long fluffy

506
00:32:54,040 --> 00:32:57,200
Speaker 1: tails and like a face that looks like a cross

507
00:32:57,240 --> 00:33:00,800
Speaker 1: between a kitty cat and a mouse. They look made up.

508
00:33:00,840 --> 00:33:05,000
Speaker 1: They look like they look like a stuffed animal that

509
00:33:05,160 --> 00:33:08,280
Speaker 1: like is made up from the imagination of Lisa Frank.

510
00:33:08,600 --> 00:33:12,640
Speaker 1: They are just so fluffy, so incredible, like in the

511
00:33:12,680 --> 00:33:15,960
Speaker 1: neo pet family of creature. Yes, yes, they look like

512
00:33:15,960 --> 00:33:18,560
Speaker 1: a neo pet. Damn it, I forgot to feed my

513
00:33:18,600 --> 00:33:24,000
Speaker 1: neo pets for the last twenty years. Oh no, what

514
00:33:24,120 --> 00:33:27,240
Speaker 1: if it's alive and just politely upset, like it's just

515
00:33:27,240 --> 00:33:30,520
Speaker 1: looking at it's watch in an armchair like they're flapping

516
00:33:30,560 --> 00:33:33,200
Speaker 1: its little foot. Makes you feel bad, you know. Yeah,

517
00:33:33,240 --> 00:33:36,120
Speaker 1: it turns around, turns on the lamp like. So, I

518
00:33:36,120 --> 00:33:38,120
Speaker 1: guess you've been busy and gone for the because you've

519
00:33:38,160 --> 00:33:42,760
Speaker 1: been busy for the past twenty years. Yeah, so this

520
00:33:42,840 --> 00:33:46,040
Speaker 1: is a real life neo pet. Uh. They have flaps

521
00:33:46,080 --> 00:33:48,720
Speaker 1: at the sides of their bodies, skin flaps that allow

522
00:33:48,840 --> 00:33:51,480
Speaker 1: them to glide, much like a flying squirrel, but they

523
00:33:51,480 --> 00:33:54,840
Speaker 1: are much bigger than a flying squirrel and here is

524
00:33:54,920 --> 00:33:58,520
Speaker 1: the cool news. Recently, it's been discovered that there are

525
00:33:58,520 --> 00:34:02,320
Speaker 1: actually two other is shees of greater glider, when we

526
00:34:02,360 --> 00:34:06,120
Speaker 1: originally thought there was only one species. So they look

527
00:34:06,160 --> 00:34:08,720
Speaker 1: a little bit different, and they are have been found

528
00:34:08,719 --> 00:34:14,400
Speaker 1: to be genetically different as well. And yeah, they're all

529
00:34:14,600 --> 00:34:16,399
Speaker 1: put this picture in the show notes, but you can

530
00:34:16,440 --> 00:34:19,200
Speaker 1: see all three of these species. You have one that

531
00:34:19,239 --> 00:34:22,719
Speaker 1: looks sort of gray with cute, big old like cat

532
00:34:22,800 --> 00:34:26,320
Speaker 1: mouse ears and it's super fluffy. And you have another

533
00:34:26,360 --> 00:34:29,000
Speaker 1: one that's sort of like a darker, sort of ashy

534
00:34:29,200 --> 00:34:34,200
Speaker 1: color and with a little white belly as well, and

535
00:34:34,200 --> 00:34:37,160
Speaker 1: in big old, big old mouse looking ears. And then

536
00:34:37,160 --> 00:34:40,399
Speaker 1: a third one that's sort of a even darker color,

537
00:34:40,480 --> 00:34:44,920
Speaker 1: kind of black. It looks scruffier and it's got, you know, again,

538
00:34:44,960 --> 00:34:48,000
Speaker 1: that cute little white belly there. I've got to say,

539
00:34:48,120 --> 00:34:51,839
Speaker 1: they're all adorable. That's that's my that. You know. If

540
00:34:51,880 --> 00:34:55,759
Speaker 1: I was cataloging these, I'd be like, that one's cute. Uh,

541
00:34:55,800 --> 00:34:59,960
Speaker 1: this one's cute. Uh. Specimen thirty five a also cute,

542
00:35:00,280 --> 00:35:02,759
Speaker 1: very cute. As as different as they are, they're all

543
00:35:02,960 --> 00:35:05,040
Speaker 1: rated thirteen out of ten. You know, they're all great.

544
00:35:05,640 --> 00:35:10,160
Speaker 1: It's a referenced Twitter. Yeah, it's just good, really good. Yeah,

545
00:35:10,239 --> 00:35:14,080
Speaker 1: it's got to be hard to basically identify these when

546
00:35:14,120 --> 00:35:18,560
Speaker 1: you're just going, oh, look, I don't little baby, look,

547
00:35:18,600 --> 00:35:25,160
Speaker 1: I don't let a baby jumi baby, it's a flying baby.

548
00:35:25,920 --> 00:35:29,080
Speaker 1: Like the expert scientist has the tradeing scientists and they're like, now,

549
00:35:29,080 --> 00:35:31,239
Speaker 1: when you approach these, you need to be very oh

550
00:35:31,920 --> 00:35:37,520
Speaker 1: but like as soon as they see big tale have

551
00:35:37,680 --> 00:35:40,440
Speaker 1: to be quiet. As we approached the subagect, all call

552
00:35:40,520 --> 00:35:47,080
Speaker 1: that blaa and then it just screams and glides away.

553
00:35:47,680 --> 00:35:50,440
Speaker 1: It's a big problem. It's probably why we only are

554
00:35:50,480 --> 00:35:53,560
Speaker 1: finding out there are three species as of now, because

555
00:35:53,680 --> 00:35:56,520
Speaker 1: like scientists have just been blown their cover too much.

556
00:35:56,840 --> 00:36:02,600
Speaker 1: They can't even identify them. Do you remember There's another

557
00:36:02,719 --> 00:36:04,239
Speaker 1: thing I learned as a zoo tour guide. We had

558
00:36:04,239 --> 00:36:08,160
Speaker 1: all copies and no copies are from like Central Africa,

559
00:36:08,280 --> 00:36:13,000
Speaker 1: like and deep rainforest. There. Those are those like zebra,

560
00:36:13,200 --> 00:36:17,239
Speaker 1: giraffe hybrid looking things, right, yeah, exactly, And between their

561
00:36:17,280 --> 00:36:20,560
Speaker 1: fantastical looks and how deep they were in the rainforest,

562
00:36:20,760 --> 00:36:23,000
Speaker 1: a lot of Europeans thought they were mythical because they

563
00:36:23,040 --> 00:36:25,799
Speaker 1: just couldn't track down a report of them. I feel

564
00:36:25,800 --> 00:36:28,000
Speaker 1: like this is like that, like it was just so cute.

565
00:36:28,200 --> 00:36:31,080
Speaker 1: The boss back at Science headquarters was like, no, you're

566
00:36:31,120 --> 00:36:34,360
Speaker 1: making this up. Forget it right, which has happened before,

567
00:36:34,480 --> 00:36:38,000
Speaker 1: Like with the platypus. Uh, they thought that was a hoax.

568
00:36:38,040 --> 00:36:41,279
Speaker 1: They thought someone just glued spare parts altogether to make

569
00:36:41,280 --> 00:36:46,640
Speaker 1: the platypus. But actually, speaking of platypus, we have some

570
00:36:46,719 --> 00:36:50,600
Speaker 1: exciting platypus news right after the break. Oh how will

571
00:36:50,640 --> 00:36:53,239
Speaker 1: people tolerate the break that's so excited? I don't know,

572
00:36:54,120 --> 00:37:00,560
Speaker 1: They'll just like pe the p Speaking of US Australia,

573
00:37:00,880 --> 00:37:05,200
Speaker 1: they've just invited devils into their island. Tasmanian devils have

574
00:37:05,280 --> 00:37:09,439
Speaker 1: been reintroduced to Australia's mainland, which they haven't stepped foot

575
00:37:09,480 --> 00:37:13,960
Speaker 1: in for three thousand years. Tasmanian devils have in recent

576
00:37:14,080 --> 00:37:19,560
Speaker 1: history lived exclusively on Australia's Tasmania Island. By introducing them

577
00:37:19,640 --> 00:37:23,759
Speaker 1: to the mainland, conservationists so for two things, that the

578
00:37:23,840 --> 00:37:28,120
Speaker 1: devils bring some balance to Mainland Australia's ecosystem and that

579
00:37:28,200 --> 00:37:33,120
Speaker 1: their population numbers increase. Mainland Australia has suffered many blows

580
00:37:33,160 --> 00:37:36,880
Speaker 1: to their native ecosystem from cane toads to pet kitty kats.

581
00:37:37,200 --> 00:37:42,120
Speaker 1: Rare animals like bandicoots have been threatened Tasmanian devils. Pugnacious

582
00:37:42,120 --> 00:37:46,279
Speaker 1: scavengers may help ward off invasive species and act as

583
00:37:46,480 --> 00:37:51,280
Speaker 1: ornary custodians of the ecosystem, and the increase in natural

584
00:37:51,320 --> 00:37:55,240
Speaker 1: habitat for the Tasmanian devil may help their population grow.

585
00:37:55,640 --> 00:37:59,799
Speaker 1: As they've suffered from a contagious facial cancer outbreak in Tasmania,

586
00:38:00,400 --> 00:38:04,439
Speaker 1: conservationists are hoping that the new colony of cancer free

587
00:38:04,440 --> 00:38:08,000
Speaker 1: devils in mainland Australia will have a better fighting chance,

588
00:38:08,440 --> 00:38:11,200
Speaker 1: and they do love to fight, though they're no farat

589
00:38:11,239 --> 00:38:14,040
Speaker 1: to humans. When we return, we're going to switch to

590
00:38:14,120 --> 00:38:18,520
Speaker 1: the entertainment beat and talk about some breaking party animal news.

591
00:38:24,120 --> 00:38:27,640
Speaker 1: So how have animals been partying while we've been distracted?

592
00:38:27,920 --> 00:38:30,560
Speaker 1: If you miss partying during quarantine, why don't we take

593
00:38:30,600 --> 00:38:33,760
Speaker 1: a peek to see some of the most festive, sexy,

594
00:38:33,800 --> 00:38:36,920
Speaker 1: and remarkable animal news stories of the past few weeks.

595
00:38:37,600 --> 00:38:46,080
Speaker 1: So now we are back with a Platypus update and

596
00:38:46,160 --> 00:38:51,240
Speaker 1: the spares. We're still doing it in in an air

597
00:38:51,719 --> 00:38:58,040
Speaker 1: Platypus in the morning mono e monotream. That's a joke

598
00:38:58,080 --> 00:39:03,080
Speaker 1: because their monotreams um, which is a type of mammal

599
00:39:03,360 --> 00:39:09,120
Speaker 1: who lays eggs and it does not have nipples to lactate. Instead,

600
00:39:09,400 --> 00:39:13,520
Speaker 1: they actually use milk out of their bellies, and that's

601
00:39:13,560 --> 00:39:16,800
Speaker 1: what a mon They're called monotream because they have a

602
00:39:16,880 --> 00:39:21,840
Speaker 1: cloaca and mono tree means one hole mo no ivano

603
00:39:21,960 --> 00:39:30,520
Speaker 1: tream in the morning. So, yes, platypus snooze is that

604
00:39:30,640 --> 00:39:37,960
Speaker 1: Platypuses are biofluorescent and glow blue under UV light. Wow,

605
00:39:38,200 --> 00:39:41,560
Speaker 1: that's awesome. Yes, I actually think I had a listener

606
00:39:41,640 --> 00:39:44,960
Speaker 1: asked me. I'm so sorry, I don't remember what your

607
00:39:44,960 --> 00:39:47,440
Speaker 1: Twitter handle is, but a listener did ask me if

608
00:39:47,480 --> 00:39:50,480
Speaker 1: this this was true, and I am happy to report

609
00:39:50,520 --> 00:39:53,880
Speaker 1: that yes, yes, it is true. It was probably a

610
00:39:53,880 --> 00:39:56,200
Speaker 1: young platypus figuring out its own body, and I'm glad

611
00:39:56,239 --> 00:39:58,160
Speaker 1: we can guide them on this journey, you know, like

612
00:40:00,200 --> 00:40:10,720
Speaker 1: I'm changing. Oh yeah, normal. I also have huge braces

613
00:40:10,800 --> 00:40:12,719
Speaker 1: even though I don't have teeth, and I'm trying to

614
00:40:12,760 --> 00:40:15,920
Speaker 1: figure out why. It's very it's very weird to have

615
00:40:15,960 --> 00:40:20,759
Speaker 1: a retainer in my bail button, you know. So biofluorescence

616
00:40:20,840 --> 00:40:24,200
Speaker 1: happens when a living organism is able to absorb and

617
00:40:24,360 --> 00:40:28,320
Speaker 1: re emit light. So typically this is only visible to

618
00:40:28,680 --> 00:40:32,120
Speaker 1: humans under u V black light, but other animals can

619
00:40:32,120 --> 00:40:39,120
Speaker 1: actually see biofluorescence. Coral scorpions, fungi and other living creatures

620
00:40:39,239 --> 00:40:43,279
Speaker 1: all biofluoresce, so this is there is a lot of

621
00:40:43,320 --> 00:40:47,560
Speaker 1: biofluorescence in a variety of organisms. But this we did

622
00:40:47,560 --> 00:40:50,960
Speaker 1: not know about until recently, and it really was just

623
00:40:51,040 --> 00:40:56,480
Speaker 1: researchers going like, you know what, I wonder if platypuses

624
00:40:57,120 --> 00:41:02,040
Speaker 1: glow under UV light and trying it out because like,

625
00:41:02,200 --> 00:41:04,759
Speaker 1: you know, it's not it's not like it's not like

626
00:41:04,800 --> 00:41:08,480
Speaker 1: we test every animal to see if they biofluoresce. But yeah,

627
00:41:08,600 --> 00:41:11,839
Speaker 1: like flying squirrels have a little bit of biofluorescence. So

628
00:41:11,960 --> 00:41:14,920
Speaker 1: some researchers were like, you know, I wonder if mom

629
00:41:15,080 --> 00:41:17,560
Speaker 1: platypusts do that. Let's let's try platypust is. Why not.

630
00:41:17,600 --> 00:41:23,799
Speaker 1: They're weird. I'm imagining the boss of Australian Science right there,

631
00:41:23,800 --> 00:41:27,040
Speaker 1: working from home. They're juggling children and cooking and everything,

632
00:41:27,440 --> 00:41:29,719
Speaker 1: and then they're getting all these reports of gliders and

633
00:41:29,840 --> 00:41:33,120
Speaker 1: luminescent platypuses and everything like they got they gotta be

634
00:41:33,160 --> 00:41:37,640
Speaker 1: pulling their hair out all this stuff, right, gosh, darn

635
00:41:37,719 --> 00:41:43,240
Speaker 1: TikTok teams trying to prank me. Yeah, so researchers aren't

636
00:41:43,400 --> 00:41:47,200
Speaker 1: sure why this happens, but sure enough, under UV light

637
00:41:47,320 --> 00:41:52,640
Speaker 1: or black light, their fur glows a beautiful bright blue.

638
00:41:53,520 --> 00:41:56,640
Speaker 1: And again we're not sure why this happens. This is

639
00:41:56,640 --> 00:42:00,160
Speaker 1: a very recent discovery. Maybe it's a form of I'm

640
00:42:00,160 --> 00:42:03,920
Speaker 1: a flash question mark in this like scan or whatever.

641
00:42:03,960 --> 00:42:06,440
Speaker 1: It almost looks like a blue footed booby in a

642
00:42:06,480 --> 00:42:12,080
Speaker 1: weird little the little paddles, the little front webbed feet. Look.

643
00:42:12,719 --> 00:42:15,319
Speaker 1: They also seem to be fluorescing, which is interesting. But yeah,

644
00:42:15,400 --> 00:42:18,600
Speaker 1: it does look a little bit like a blue footed booby,

645
00:42:18,680 --> 00:42:22,200
Speaker 1: which I must say is a bird. It's a bird,

646
00:42:22,440 --> 00:42:24,520
Speaker 1: and it's got blue feet. It's called a blue foot

647
00:42:24,520 --> 00:42:26,879
Speaker 1: a booby. Yeah, oh yeah, yeah, I don't know if

648
00:42:26,880 --> 00:42:29,400
Speaker 1: I guess it's not everybody. We just, yeah, we just

649
00:42:29,440 --> 00:42:35,600
Speaker 1: like to name birds nanny things like kits and boobies. Scientists,

650
00:42:36,080 --> 00:42:39,960
Speaker 1: I guess, I guess, like, uh, ornithologists are just kind

651
00:42:39,960 --> 00:42:42,440
Speaker 1: of kind of horny on Maine. But you know, there

652
00:42:42,440 --> 00:42:47,960
Speaker 1: you go, speaking of ornithologists being horny on Maine, let's

653
00:42:48,000 --> 00:42:52,400
Speaker 1: talk about a bird that was discovered that is half male,

654
00:42:52,880 --> 00:42:59,920
Speaker 1: half female in a spectacular way. In Pennsylvania, a row

655
00:43:00,120 --> 00:43:03,320
Speaker 1: was breasted gross speak again with the breasts, you guys,

656
00:43:03,680 --> 00:43:08,239
Speaker 1: just to take it down a notch burners, all right.

657
00:43:08,440 --> 00:43:12,760
Speaker 1: So a rosebreasted gross speak was discovered that is half male,

658
00:43:12,960 --> 00:43:17,359
Speaker 1: half female, literally split down the middle. One side of

659
00:43:17,360 --> 00:43:20,960
Speaker 1: it is male and the other side is female. So

660
00:43:22,600 --> 00:43:26,520
Speaker 1: gross speaks are small birds with sturdy beaks for cracking

661
00:43:26,560 --> 00:43:29,520
Speaker 1: open seeds. They look very finch like. They come in

662
00:43:29,760 --> 00:43:33,680
Speaker 1: many colors, and they are often sexually dimorphic, meaning that

663
00:43:33,719 --> 00:43:37,920
Speaker 1: the females and males differ in physical appearance and color

664
00:43:38,040 --> 00:43:42,080
Speaker 1: and size. In this case, the rosebreasted growth speak that

665
00:43:42,160 --> 00:43:47,919
Speaker 1: was discovered is a very rare bilateral gynandromorph meaning that

666
00:43:48,040 --> 00:43:51,239
Speaker 1: one side of its body is female and the other's male,

667
00:43:51,400 --> 00:43:55,080
Speaker 1: split laterally from head to tail. So I think in

668
00:43:55,120 --> 00:43:57,960
Speaker 1: this case the right side is male and the left

669
00:43:57,960 --> 00:44:01,400
Speaker 1: side is female. And this picture is amazing because like,

670
00:44:01,520 --> 00:44:03,399
Speaker 1: I don't know a ton about birds. You know more,

671
00:44:03,520 --> 00:44:07,560
Speaker 1: and you are birds. But but as I understand it,

672
00:44:07,680 --> 00:44:10,719
Speaker 1: like it's very common for bird male and female of

673
00:44:10,760 --> 00:44:14,040
Speaker 1: a species to look different, but it's almost always symmetrical

674
00:44:14,160 --> 00:44:16,520
Speaker 1: within the bird, you know, and then this picture of

675
00:44:16,560 --> 00:44:19,319
Speaker 1: a bird. It has a red wing and it has

676
00:44:19,360 --> 00:44:22,520
Speaker 1: like a golden yellow wing and that must be because

677
00:44:22,520 --> 00:44:27,680
Speaker 1: of the split. That's that's fascinating. Yes, yes, exactly. So

678
00:44:27,719 --> 00:44:31,200
Speaker 1: the red wing is the male side. Males have red

679
00:44:31,280 --> 00:44:34,920
Speaker 1: coloration and that wing is actually a little bit longer

680
00:44:34,960 --> 00:44:38,160
Speaker 1: than the yellow wing which is the female side, which

681
00:44:38,200 --> 00:44:41,319
Speaker 1: is a little shorter, which is also like females have

682
00:44:41,400 --> 00:44:44,640
Speaker 1: slightly shorter wings, which I hope this poor bird isn't

683
00:44:44,680 --> 00:44:49,640
Speaker 1: like flying around in circles because of that. But so

684
00:44:49,760 --> 00:44:53,480
Speaker 1: this is extremely rare. This is like winning the bird lottery,

685
00:44:53,760 --> 00:44:56,560
Speaker 1: like literally one in a million chance to find one

686
00:44:56,600 --> 00:45:00,040
Speaker 1: of these incredible birds. So, although this is not the

687
00:45:00,080 --> 00:45:03,000
Speaker 1: only bird that's ever been discovered, there have been other birds.

688
00:45:03,040 --> 00:45:07,239
Speaker 1: This has also been recorded in butterflies, crustaceans, spiders and

689
00:45:07,560 --> 00:45:12,880
Speaker 1: other insects, snakes, uh and particularly I think zebra finches

690
00:45:12,920 --> 00:45:15,479
Speaker 1: for whatever reason, have it happened to them a lot.

691
00:45:15,719 --> 00:45:20,320
Speaker 1: It's been found in chickens as well, cardinals um. So.

692
00:45:21,320 --> 00:45:26,880
Speaker 1: This is caused by an unusual event during a bird's

693
00:45:27,200 --> 00:45:32,120
Speaker 1: embryonic development, when the cells are splitting during a fertilized

694
00:45:32,160 --> 00:45:35,719
Speaker 1: eggs development, where one of the dividing cells does not

695
00:45:36,080 --> 00:45:40,399
Speaker 1: split the sex chromosomes as it normally would. Yeah, so

696
00:45:40,640 --> 00:45:45,160
Speaker 1: it literally develops where one side of the bird is

697
00:45:46,040 --> 00:45:49,680
Speaker 1: physically female and then the other side is physically male.

698
00:45:49,719 --> 00:45:53,319
Speaker 1: And this can be both external characteristics like the coloration

699
00:45:53,600 --> 00:45:56,320
Speaker 1: and size as we see in this bird, can also

700
00:45:56,360 --> 00:45:59,480
Speaker 1: be internal anatomy. So sex organs like you may have

701
00:45:59,600 --> 00:46:04,120
Speaker 1: over is only on one side. Uh So it is absolutely,

702
00:46:04,239 --> 00:46:08,520
Speaker 1: absolutely fascinating. One thing is that, like, I feel like

703
00:46:08,520 --> 00:46:11,520
Speaker 1: there are a lot of prudes that like to reference

704
00:46:11,600 --> 00:46:15,360
Speaker 1: nature when it comes to like human gender expression, and

705
00:46:15,360 --> 00:46:17,880
Speaker 1: they're like, oh, well that's unnatural. It's like, dude, you

706
00:46:17,920 --> 00:46:23,719
Speaker 1: don't know anything about nature. Nature is incredibly fun and free. Yeah,

707
00:46:23,960 --> 00:46:26,520
Speaker 1: it's just like, oh, you're you can't you know, identify

708
00:46:26,560 --> 00:46:30,640
Speaker 1: as another another gender. That's unnatural. It's like, no, nature,

709
00:46:30,840 --> 00:46:35,520
Speaker 1: Nature wrote the book on this stuff. You guys, Like, yeah,

710
00:46:35,600 --> 00:46:38,160
Speaker 1: it's it always frustrates for me when people are like, well,

711
00:46:38,239 --> 00:46:41,680
Speaker 1: you know, biology says you can't be you know, different

712
00:46:41,880 --> 00:46:45,160
Speaker 1: as a human. It's like, no, it actually does. It's

713
00:46:45,200 --> 00:46:50,839
Speaker 1: actually your biology is incredibly creative and fun and so

714
00:46:51,000 --> 00:46:55,840
Speaker 1: you know, you don't. It's it's frustrating also, can I

715
00:46:55,880 --> 00:47:00,799
Speaker 1: just say this bird absolutely beautiful, Like, it's just I mean,

716
00:47:00,800 --> 00:47:03,439
Speaker 1: there's something about like, I guess, I guess because we're

717
00:47:03,480 --> 00:47:06,399
Speaker 1: so used to symmetry in animals. Seeing an animal where

718
00:47:06,440 --> 00:47:08,719
Speaker 1: it's like one side is red, in the other side

719
00:47:08,719 --> 00:47:14,200
Speaker 1: it's yelled, it's just incredible looking. Yeah, I now, I

720
00:47:14,200 --> 00:47:15,759
Speaker 1: just want to see all the animals like this. Like

721
00:47:15,800 --> 00:47:17,719
Speaker 1: you said, a cardinal was found like this, I don't

722
00:47:17,760 --> 00:47:21,000
Speaker 1: know if it was the past and they didn't. Yeah. Yeah,

723
00:47:21,080 --> 00:47:24,279
Speaker 1: one side is red reddish coloration, to the other side

724
00:47:24,320 --> 00:47:27,200
Speaker 1: is sort of a lighter, lighter coloration like a female. Yeah,

725
00:47:27,239 --> 00:47:30,680
Speaker 1: it's it's really really interesting. Also important to note that

726
00:47:30,960 --> 00:47:35,200
Speaker 1: this is different from hermaphroditism, where so in that case,

727
00:47:35,239 --> 00:47:39,959
Speaker 1: it's not like bilateral asymmetry. So like you can have

728
00:47:40,360 --> 00:47:45,480
Speaker 1: a mixture of male and female second sexual characteristics and

729
00:47:45,480 --> 00:47:48,640
Speaker 1: an organs, and that is actually a lot more common

730
00:47:48,640 --> 00:47:51,919
Speaker 1: than this. This is just very uncommon because it's the

731
00:47:51,920 --> 00:47:55,680
Speaker 1: the particular arrangement of having like literally like one half

732
00:47:55,760 --> 00:47:58,040
Speaker 1: one side of the animal is male the other half

733
00:47:58,120 --> 00:48:02,040
Speaker 1: is female is just very very rare, very interesting. So, yeah,

734
00:48:02,040 --> 00:48:04,240
Speaker 1: they're there, but there are a lot of different types

735
00:48:04,320 --> 00:48:07,400
Speaker 1: of situations where an animal will have both male and

736
00:48:07,520 --> 00:48:10,920
Speaker 1: female parts, and sometimes it's not even like unusual, like

737
00:48:10,960 --> 00:48:14,439
Speaker 1: there's species of animals that are always from aphroditic, all

738
00:48:14,520 --> 00:48:17,200
Speaker 1: always have both male and female parts. This just happens

739
00:48:17,239 --> 00:48:20,160
Speaker 1: to be a species where this is not typical. And

740
00:48:20,239 --> 00:48:23,960
Speaker 1: it's also especially interesting because it's again that that whole

741
00:48:24,000 --> 00:48:27,520
Speaker 1: like you know, one one half half and half split

742
00:48:27,760 --> 00:48:30,280
Speaker 1: right down the middle. Yeah. Also, also good job humans

743
00:48:31,040 --> 00:48:33,279
Speaker 1: noticing this tracking it down. I feel like I don't

744
00:48:33,360 --> 00:48:35,840
Speaker 1: see I'm not a birder, but I never see birds

745
00:48:35,880 --> 00:48:38,360
Speaker 1: that clearly in the wild are walking around the neighborhood.

746
00:48:38,480 --> 00:48:41,280
Speaker 1: So a good job well done. I mean there's probably, yes,

747
00:48:41,400 --> 00:48:44,839
Speaker 1: yes it is. That is an incredible find. Also, it's

748
00:48:45,480 --> 00:48:51,000
Speaker 1: probably there are probably more of these bilateral gynandromorphs than

749
00:48:51,160 --> 00:48:55,080
Speaker 1: we know because some birds are not quite as obvious

750
00:48:55,320 --> 00:49:00,400
Speaker 1: with the sexual dimorphism, so spotting a like the males

751
00:49:00,400 --> 00:49:03,560
Speaker 1: and females look more similar, So being able to find

752
00:49:04,360 --> 00:49:06,520
Speaker 1: ones that that have this like you just wouldn't know

753
00:49:06,600 --> 00:49:09,319
Speaker 1: looking at them. It would be very subtle. So yeah,

754
00:49:09,480 --> 00:49:12,440
Speaker 1: it's really interesting and I just want to in the

755
00:49:12,480 --> 00:49:19,239
Speaker 1: show with a little bit of bat news, and I

756
00:49:19,239 --> 00:49:22,440
Speaker 1: feel like this We've actually talked about this bat before

757
00:49:22,440 --> 00:49:25,959
Speaker 1: on the show I think actually almost exactly a year ago,

758
00:49:26,880 --> 00:49:32,879
Speaker 1: and of talking about it's there, we go, yes, thank you.

759
00:49:33,440 --> 00:49:35,680
Speaker 1: But now I think it's relevant to bring this up again.

760
00:49:35,760 --> 00:49:38,560
Speaker 1: First of all, they they're in the news, and also

761
00:49:38,719 --> 00:49:42,840
Speaker 1: it's very applicable to us humans. So these are wrinkle

762
00:49:42,920 --> 00:49:45,840
Speaker 1: faced bats. They are found in Central America. They have

763
00:49:45,920 --> 00:49:51,439
Speaker 1: a very very wrinkle wrinkly face. It just I don't know, like,

764
00:49:51,600 --> 00:49:54,960
Speaker 1: how would you describe this face? Like a walnut look

765
00:49:55,000 --> 00:49:58,080
Speaker 1: a little bit like a one. Yeah, it's like if

766
00:49:58,080 --> 00:50:01,160
Speaker 1: a walnut was made of knuckles. Yeah, and then the

767
00:50:01,360 --> 00:50:03,480
Speaker 1: good description. I like that. Then the overall shape but

768
00:50:03,600 --> 00:50:07,000
Speaker 1: like that that Sumerian dog monster from Ghostbusters, like the

769
00:50:07,040 --> 00:50:10,279
Speaker 1: two of them form like the activated thing. Yeah. I

770
00:50:10,320 --> 00:50:14,120
Speaker 1: think it's cute and it's cute. Yes, I should clarify that.

771
00:50:14,160 --> 00:50:17,239
Speaker 1: I mean that that is cute. It's like you put

772
00:50:17,280 --> 00:50:20,600
Speaker 1: if you put like Stitch in the washing machine, but

773
00:50:20,640 --> 00:50:23,120
Speaker 1: then you didn't like fold them, so then he got

774
00:50:23,120 --> 00:50:25,879
Speaker 1: all wrinkly. I saw that movie for the first time

775
00:50:26,000 --> 00:50:28,919
Speaker 1: last month. I finally caught up with it. It's very fun,

776
00:50:29,840 --> 00:50:34,600
Speaker 1: that's very good. I love Lelane. Stitch is amazing best movies.

777
00:50:35,000 --> 00:50:37,520
Speaker 1: So they have mouth pouches to store food in. They

778
00:50:37,560 --> 00:50:41,160
Speaker 1: eat fruit. They have one of the strongest bites per

779
00:50:41,560 --> 00:50:45,399
Speaker 1: their size compared to other bats, because this allows them

780
00:50:45,440 --> 00:50:48,800
Speaker 1: to eat tough fruit, get through the tough skin of fruit.

781
00:50:49,480 --> 00:50:54,880
Speaker 1: And most most importantly, they have a little chin flap

782
00:50:55,040 --> 00:50:58,200
Speaker 1: that they can use as a mask that they literally

783
00:50:58,280 --> 00:51:01,359
Speaker 1: pull up over their face as a mask, as we

784
00:51:01,400 --> 00:51:08,239
Speaker 1: should all be doing right now, hero bats. So god,

785
00:51:08,400 --> 00:51:11,799
Speaker 1: I just imagined a Republican wriggle face bat. That's like, sure,

786
00:51:11,840 --> 00:51:14,360
Speaker 1: I have a chin based flap that's a mask, but

787
00:51:14,400 --> 00:51:17,360
Speaker 1: I'm not gonna wear it like just the laziest worst

788
00:51:17,360 --> 00:51:21,080
Speaker 1: bat anyway. Well and well, bad news for that bat,

789
00:51:21,400 --> 00:51:26,400
Speaker 1: because the lady bats love a mask. Female bats find

790
00:51:26,440 --> 00:51:30,840
Speaker 1: these masks sexy, which look Speaking as a female human,

791
00:51:31,360 --> 00:51:35,839
Speaker 1: I say all masks are sexy, and wearing them like

792
00:51:36,000 --> 00:51:39,920
Speaker 1: instantly improves you're standing. In my mind, I'm like, that

793
00:51:40,000 --> 00:51:45,560
Speaker 1: person cares about other people. That's respectable. Caring is sexy,

794
00:51:45,840 --> 00:51:49,600
Speaker 1: So it is it is literally signaling your virtue, Like

795
00:51:49,640 --> 00:51:52,520
Speaker 1: you're a virtuous person who bothers to care about people.

796
00:51:52,800 --> 00:51:58,160
Speaker 1: That's good, right, right exactly, So these masks are sexy

797
00:51:58,400 --> 00:52:01,040
Speaker 1: for for female birds, and the males will use them

798
00:52:01,040 --> 00:52:05,200
Speaker 1: to attract mates. Uh. Bernald Rodriguez Herrera, who is a

799
00:52:05,239 --> 00:52:09,000
Speaker 1: bat biologist at the University of Costa Rica, calls the

800
00:52:09,080 --> 00:52:14,680
Speaker 1: male masked seducers, which I love. I would like to

801
00:52:14,719 --> 00:52:17,360
Speaker 1: adopt that for humans, Like, like, you wear a mask,

802
00:52:17,640 --> 00:52:22,919
Speaker 1: you're a masked seducer. Uh. They will literally flex their

803
00:52:22,960 --> 00:52:26,839
Speaker 1: little face masks like they're flexing their muscles. They will

804
00:52:26,920 --> 00:52:29,040
Speaker 1: lift it over their face and like pull it with

805
00:52:29,080 --> 00:52:32,280
Speaker 1: their little arms, like and you like what you see?

806
00:52:33,120 --> 00:52:38,279
Speaker 1: And that drives the lady bats wild with desire. Uh.

807
00:52:38,320 --> 00:52:41,399
Speaker 1: And one of the theories is that the mask may

808
00:52:41,440 --> 00:52:45,000
Speaker 1: help them modulate their mating calls, because they seem to

809
00:52:45,040 --> 00:52:47,759
Speaker 1: always chirp while the mask is up, so maybe it

810
00:52:47,840 --> 00:52:51,760
Speaker 1: gives the mating calls some interesting kind of resonance. Another

811
00:52:51,880 --> 00:52:55,759
Speaker 1: theory is that because the skin flap is white, it

812
00:52:55,840 --> 00:52:58,880
Speaker 1: might help the females locate the males visually. And so

813
00:52:58,960 --> 00:53:01,319
Speaker 1: you're sort of almost flat sishing a beacon at the

814
00:53:01,360 --> 00:53:04,440
Speaker 1: females like, hey, look at me, I'm an eligible bachelor

815
00:53:04,520 --> 00:53:11,640
Speaker 1: who cares about public health and safety. Also, the little

816
00:53:11,680 --> 00:53:15,040
Speaker 1: masks are furry, so they kind of look like Santa beards,

817
00:53:15,080 --> 00:53:18,000
Speaker 1: which I think is cute. Oh man, and we're in

818
00:53:18,040 --> 00:53:20,600
Speaker 1: the ear of Kurt Russell being sexy Santa. So that's

819
00:53:20,680 --> 00:53:23,680
Speaker 1: that's understood. Now, people get it. Oh wait, I just

820
00:53:23,719 --> 00:53:26,719
Speaker 1: had an idea, why don't people put fake beards over

821
00:53:26,800 --> 00:53:32,520
Speaker 1: their masks so you can look like Santa? Yeah? What,

822
00:53:33,040 --> 00:53:36,080
Speaker 1: why haven't we done this? I do? I remember. I

823
00:53:36,120 --> 00:53:38,640
Speaker 1: think it was around August. I was just walking and

824
00:53:38,680 --> 00:53:41,040
Speaker 1: I had a realization that the mask would feel warm

825
00:53:41,040 --> 00:53:43,440
Speaker 1: in the winter. Like I got excited for now. I

826
00:53:43,560 --> 00:53:46,080
Speaker 1: was like, oh, yeah, it's gonna be good. So yeah,

827
00:53:46,480 --> 00:53:50,680
Speaker 1: that's getting like I'm always getting running noses and stuff,

828
00:53:50,719 --> 00:53:52,759
Speaker 1: and like I've been noticing like, hey, you know what,

829
00:53:52,920 --> 00:53:55,359
Speaker 1: my hot breath is heating up my nose. It feels good.

830
00:53:58,680 --> 00:54:01,440
Speaker 1: So again, I think we can learn a lot from

831
00:54:01,440 --> 00:54:06,000
Speaker 1: these bats that they have. They love masks. The ladies

832
00:54:06,040 --> 00:54:12,080
Speaker 1: love them, and yeah, I mean for humans obviously, everyone

833
00:54:12,440 --> 00:54:16,839
Speaker 1: everyone of good caliber loves a mask, and I just

834
00:54:16,960 --> 00:54:24,440
Speaker 1: think that it is great to wear them. Yeah, me too, Like,

835
00:54:24,600 --> 00:54:28,080
Speaker 1: keep keeping up, folks, it's spiking. Yeah, I'm sure that.

836
00:54:28,360 --> 00:54:31,640
Speaker 1: I feel like all of our listeners are probably on

837
00:54:31,719 --> 00:54:34,040
Speaker 1: board with the whole mask wearing thing, but I want

838
00:54:34,520 --> 00:54:36,440
Speaker 1: I want to give you hope. I want to give

839
00:54:36,480 --> 00:54:38,680
Speaker 1: you some cheer that like, the bats are on board

840
00:54:38,680 --> 00:54:41,239
Speaker 1: with us, and they'll think you're cute if you wear

841
00:54:41,280 --> 00:54:44,040
Speaker 1: a mask, bats are going to think you're cute, and

842
00:54:44,080 --> 00:54:46,800
Speaker 1: then that is I'm sure you're right at every listener

843
00:54:46,840 --> 00:54:49,000
Speaker 1: to this show is like on top of masks, like

844
00:54:49,040 --> 00:54:52,160
Speaker 1: I prior to the election, I realized as I was

845
00:54:52,200 --> 00:54:55,320
Speaker 1: taping a secretly incredibly fascinating I was like, I would

846
00:54:55,320 --> 00:54:57,719
Speaker 1: tell you guys to vote, but you're great, Like if

847
00:54:57,719 --> 00:54:59,359
Speaker 1: you can vote, I'm sure you did a good job.

848
00:54:59,480 --> 00:55:01,640
Speaker 1: Like this space, we don't need to do it, you're

849
00:55:01,680 --> 00:55:03,960
Speaker 1: you're at it. I just think it will help with

850
00:55:04,000 --> 00:55:06,160
Speaker 1: the monotony of wearing a mask every day, and no

851
00:55:06,560 --> 00:55:09,800
Speaker 1: that bats will think you're cute for wearing the mask,

852
00:55:10,040 --> 00:55:13,160
Speaker 1: and you know you might get noticed by bats and pie,

853
00:55:13,320 --> 00:55:17,080
Speaker 1: so that's good. Yeah. Bat society is really interesting to me.

854
00:55:17,200 --> 00:55:21,560
Speaker 1: I love it, like like the romance novels with a

855
00:55:22,239 --> 00:55:24,640
Speaker 1: heavily masked bat on the cover, like, wow, look at it.

856
00:55:25,680 --> 00:55:30,160
Speaker 1: You'd never see that really? Yes, yes, yes, So if

857
00:55:30,200 --> 00:55:32,319
Speaker 1: you want, if you want to attract a bat, wear

858
00:55:32,360 --> 00:55:36,080
Speaker 1: a mask. Well, specifically the wrinkle faced bats. But yeah, yeah,

859
00:55:36,280 --> 00:55:38,759
Speaker 1: who wouldn't Who wouldn't want to attract a wrinkle face bat?

860
00:55:38,840 --> 00:55:43,640
Speaker 1: They are Oh boy, you know again a handsome knuckle

861
00:55:43,719 --> 00:55:47,480
Speaker 1: walnut that you want to walnut. I want to get

862
00:55:47,520 --> 00:55:51,720
Speaker 1: to know this handsome walnut. Well, Alex, I think that's

863
00:55:51,719 --> 00:55:53,919
Speaker 1: gonna do it for today. I think we've covered all

864
00:55:54,000 --> 00:55:57,920
Speaker 1: of the news stories that people may have missed during

865
00:55:58,000 --> 00:56:00,120
Speaker 1: you know, the recent weeks. I guess other stuff was

866
00:56:00,160 --> 00:56:03,000
Speaker 1: going on that was important, but yeah, now we're caught

867
00:56:03,080 --> 00:56:07,160
Speaker 1: up on the animal news. I'm I there's so much

868
00:56:07,160 --> 00:56:09,520
Speaker 1: going on and I I'm sure, like you said, it

869
00:56:09,560 --> 00:56:12,080
Speaker 1: all happened when I was distracted with other other things,

870
00:56:12,239 --> 00:56:14,879
Speaker 1: and it's so excited about it. I get the bear

871
00:56:14,920 --> 00:56:18,600
Speaker 1: and wolf stuff alone, remember that, folks, Holy cow later

872
00:56:18,640 --> 00:56:23,600
Speaker 1: runner bears. Yeah. Uh well, So, Alex, thank you so

873
00:56:23,680 --> 00:56:26,200
Speaker 1: much for joining me today. I'm so happy to be

874
00:56:26,320 --> 00:56:30,120
Speaker 1: able to talk to you about animal news. So where

875
00:56:30,120 --> 00:56:32,560
Speaker 1: where can the people and the bats and the robot

876
00:56:32,600 --> 00:56:35,960
Speaker 1: wolves find you? Because they will. I'm on I'm on

877
00:56:36,040 --> 00:56:38,400
Speaker 1: Morning drive Time with Katie Golden on Katie and the

878
00:56:38,440 --> 00:56:42,839
Speaker 1: Spas every week w KA. That is the end of bit.

879
00:56:43,680 --> 00:56:46,160
Speaker 1: I've hosted a show called Secretly Incredibly Fascinating. It's a

880
00:56:46,200 --> 00:56:48,560
Speaker 1: podcast I'm really proud of. It's about the history and

881
00:56:48,600 --> 00:56:52,280
Speaker 1: science and lower that make ordinary things secretly incredibly fascinating.

882
00:56:52,360 --> 00:56:54,880
Speaker 1: And it's had wonderful guests like Katie Golden, who's on

883
00:56:54,920 --> 00:56:57,239
Speaker 1: the second every episode and did a lot to help

884
00:56:57,360 --> 00:56:59,400
Speaker 1: like get it going at all, so I really appreciate

885
00:56:59,400 --> 00:57:02,800
Speaker 1: that a whole lot. We talked about Luke How's yeah,

886
00:57:02,920 --> 00:57:08,720
Speaker 1: and the episodes about cattle, so you know, animals for you, Yeah, yeah, yeah.

887
00:57:08,760 --> 00:57:12,080
Speaker 1: You can find us on the internet at Creature Feature

888
00:57:12,080 --> 00:57:14,960
Speaker 1: Pod on Instagram, at Creature Feet Pod on Twitter. That's

889
00:57:15,719 --> 00:57:19,000
Speaker 1: not et that's something very different. You can find me

890
00:57:19,240 --> 00:57:21,960
Speaker 1: at Katie Golden online that's k A T I E

891
00:57:22,160 --> 00:57:25,080
Speaker 1: G O L D I N. I usually post Katie thoughts. Look,

892
00:57:25,080 --> 00:57:26,640
Speaker 1: a lot of my tweets are going to be political,

893
00:57:27,240 --> 00:57:30,160
Speaker 1: because you know, politics is important. But you know here

894
00:57:30,160 --> 00:57:33,200
Speaker 1: on the podcast, it's animals time as always. I'm also

895
00:57:33,360 --> 00:57:37,680
Speaker 1: at Pro Bird Rights, where I am definitely just a

896
00:57:37,720 --> 00:57:43,080
Speaker 1: normal human talking about birds. It's fine, it's pretend birds,

897
00:57:43,080 --> 00:57:45,960
Speaker 1: not real birds. I'm certainly not a bunch of real

898
00:57:46,080 --> 00:57:48,920
Speaker 1: birds in a human suit. That would be weird and

899
00:57:49,000 --> 00:57:53,360
Speaker 1: I'm not that, I am. I'm also really impressed how

900
00:57:53,440 --> 00:57:55,880
Speaker 1: much seed you can eat without the mic picking it up,

901
00:57:56,080 --> 00:58:01,439
Speaker 1: you know, like usually during a tape things doctor stop.

902
00:58:02,720 --> 00:58:05,160
Speaker 1: I'm also really impressed how much bird seed you can

903
00:58:05,200 --> 00:58:07,440
Speaker 1: eat during a taping without the mic picking it up

904
00:58:07,600 --> 00:58:09,760
Speaker 1: usually snacking. It really gets in there. But you do

905
00:58:09,840 --> 00:58:12,880
Speaker 1: a good job that. It keeps me regular. It's good fiber.

906
00:58:13,560 --> 00:58:15,520
Speaker 1: I don't know why there's a big handwritten note that

907
00:58:15,560 --> 00:58:18,640
Speaker 1: says human seed over the label of whatever that really is.

908
00:58:18,760 --> 00:58:28,080
Speaker 1: That's interesting. It's good to label products as they accurately are. Anyway. Anyways,

909
00:58:28,120 --> 00:58:31,240
Speaker 1: if you have any questions for the podcast, you can

910
00:58:31,280 --> 00:58:33,400
Speaker 1: email me. I mean, obviously you can message me on

911
00:58:33,440 --> 00:58:36,320
Speaker 1: any of those social media platforms, but if you prefer

912
00:58:36,400 --> 00:58:39,919
Speaker 1: the old email, you can do Creature Feature pod at

913
00:58:40,000 --> 00:58:43,320
Speaker 1: gmail dot com and also send me pictures of your pets.

914
00:58:43,440 --> 00:58:47,560
Speaker 1: I love that, I like that, or birds um at,

915
00:58:47,920 --> 00:58:52,520
Speaker 1: you know, as normal humans like sea birds. Thanks so

916
00:58:52,600 --> 00:58:56,240
Speaker 1: much to the Space Classics for their super awesome song Excelumina.

917
00:58:56,400 --> 00:58:59,080
Speaker 1: Creature Feature is a production of I Heart Radio. For

918
00:58:59,200 --> 00:59:01,960
Speaker 1: more podcasts the one you just heard, visit the I

919
00:59:02,040 --> 00:59:04,919
Speaker 1: Heart Radio app, Apple podcast, or Hey guess what gab

920
00:59:05,000 --> 00:59:08,200
Speaker 1: you listen to your favorite shows. See you next Wednesday,

921
00:59:11,560 --> 00:59:11,600
Speaker 1: m