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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 studied psychology

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Speaker 1: and evolutionary biology, and today on the show, we're talking

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Speaker 1: about cheeky cats from lynx Is that refused to be

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Speaker 1: the missing links to extinct cats. Who ask if that's

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Speaker 1: a tooth in your pocket? Or if you're just happy

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Speaker 1: to see me? Discover the more as we answer the

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Speaker 1: angel question. You can pick your friends, you can pick

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Speaker 1: your cats, nos, but can cat pick their friends out

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Speaker 1: of a police lineup? Yeah? Joining me today is comedian

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Speaker 1: Cat Lover and the Jeff part of Tom and Jeff

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Speaker 1: Watch Batman. Jeff May welcome. Hey, well it's me, It's

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Speaker 1: Jeff May. It's It's watched Batman. I'm so excited to

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Speaker 1: be here. I also studied evolutionary biology when I was

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Speaker 1: in college. Really, that's awesome. I did. I was a

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Speaker 1: bio minor even though I was a history and education major,

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Speaker 1: and my advisor got mad at me for wasting my money.

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Speaker 1: We have very similar back stories then, because I did

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Speaker 1: psychology as my major and evolutionary biology I gotta study

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Speaker 1: Tartar grades and I got to study the human brain

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Speaker 1: at the same time smart, Like, what are you going

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Speaker 1: to do with those two things? My whole college plan

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Speaker 1: was just like I like people and animals and I

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Speaker 1: want to learn everything about them. And you know, surprisingly

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Speaker 1: that's maybe not the best career choice, just to be

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Speaker 1: genuinely curious about the world. But they didn't know about

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Speaker 1: podcasts back then either, So here we are it was

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Speaker 1: it was not on our radar. Boy, did we accidentally

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Speaker 1: tumble into an existence that somehow became mildly lucrative. Yes,

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Speaker 1: science education, it's the way to uh, to just keep

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Speaker 1: learning yourself. That's my dirty little secret is that this

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Speaker 1: podcast is a secretly away for me to continue learning

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Speaker 1: about things. And one thing that I love learning about

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Speaker 1: I I love kiddies. I gotta admit it. I do

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Speaker 1: have a dog, but I grew up with cats, and

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Speaker 1: I just I just love cats. I love every single

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Speaker 1: cat on the planet. Their attitude, their whole deal, I'm

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Speaker 1: all about it. I love them. They're they're very bold existence.

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Speaker 1: They they see because they have that like too good

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Speaker 1: for it vibe, but then they're also very needy at

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Speaker 1: the same time, and that to me, like you get

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Speaker 1: to see the microcosm of life in that with a cat.

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Speaker 1: Cats just like I can do this on my own

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Speaker 1: and then but also you need to open that can

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Speaker 1: for me or and I love that. I love that

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Speaker 1: about them. They're strong but vulnerable, and I yeah, I

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Speaker 1: love that about them. Today we're going to talk about

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Speaker 1: just that juxtaposition of the strength and the whole our

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Speaker 1: ability of cats and the the The one I want

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Speaker 1: to start with is this wonderful story of the Iberian Lynx.

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Speaker 1: So I don't know, do I mean, I guess in

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Speaker 1: l A you probably do see some bobcats right occasionally.

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Speaker 1: I know, like according to next door, there's a mountain lion.

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Speaker 1: Mostly coyotes, but there's uh, there's a like mountain lions

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Speaker 1: are like our big our main export export is that

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Speaker 1: it we're just shipping them off the Seattle, the exporting

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Speaker 1: mountain lions. Yeah, no, I mean the San Gabriel Mountains

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Speaker 1: near near l A does have mountain lions. And there's

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Speaker 1: I forgot his name, like it might be P twenty four.

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Speaker 1: He's that mountain lion. He's our neighborhood mountain lion. Yeah.

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Speaker 1: I live in the shallow valley. Yeah, and everybody's like

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Speaker 1: I found him he's like a celebrity out here. It's

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Speaker 1: like it would be like seeing like, oh I I

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Speaker 1: saw you know Becca do Mornay. I saw her at

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Speaker 1: the Vaughans. Everyone's just like, oh, it's a it's a

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Speaker 1: I saw twenty four, who was walking behind the Vons. Yeah.

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Speaker 1: Well when I lived in l A, I did see

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Speaker 1: Patton Oswald. Um. I it's a hard call though, between

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Speaker 1: seeing p twenty four and seeing Patton Oswald. Like, I

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Speaker 1: love them both, but you know, god, I wish I

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Speaker 1: could have seen two. The Lion doesn't have a Grammy.

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Speaker 1: That's I mean rude first of all to make this

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Speaker 1: a competition Grammy competition, But yeah, I mean the Lion

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Speaker 1: does deserve a Grammy. A little background on on this

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Speaker 1: Mountain Lion. He is this scrappy individual who is basically

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Speaker 1: because humans have split up the uh natural habitat with freeways. Uh,

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Speaker 1: this this guy has kind of like he's in this

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Speaker 1: like little island surrounded by freeways, and he is a

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Speaker 1: an amazing intrepid survival story in terms of just like

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Speaker 1: how he's managed to keep going when he's sort of

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Speaker 1: like isolated in this way. Yeah, he's it's the mountain

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Speaker 1: lion version of that book Hatchet, you know, any one

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Speaker 1: of those, like the Call of the Wild, he should

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Speaker 1: be it should be the Call of the civilized. Or yeah,

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Speaker 1: he's he's a he's a good dude. And uh. And

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Speaker 1: he does venture up to the burbank North Hollywood area

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Speaker 1: quite often because that is sort of where he is trapped. Yes,

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Speaker 1: I do like that he is respected, like a respected

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Speaker 1: member of the community, because it's it's worse when like

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Speaker 1: you have a wildcat who is a budding civilization and

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Speaker 1: you're like, oh man, this this this cat is scary

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Speaker 1: and I don't want it near me. And it's like, well, yeah,

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Speaker 1: but you know what, maybe he's he's a little gentleman

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Speaker 1: that you should welcome. Maybe not with he's by you,

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Speaker 1: but you know, yeah, no, you give him a wide berth.

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Speaker 1: He's Angeline. That's who he's the He's like that, like

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Speaker 1: that l a celebrity whose existence is just because they exist,

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Speaker 1: they are that celebrity. And I love that for him.

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Speaker 1: I like and I like a cat. I like a

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Speaker 1: good cat, you know. And uh, and we have good

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Speaker 1: access because California, you know, because you're like California, you

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Speaker 1: guys got this kind of we we have all the animals,

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Speaker 1: every animal. It's I mean for being such a like

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Speaker 1: California's thought of you know, you think of like l

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Speaker 1: A and these very dense urban environments, but uh, there are.

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Speaker 1: It is an incredibly bio diverse state. It's wonderful. Yeah. Yeah,

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Speaker 1: we have uh, a Ralph's and a vans. Which one

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Speaker 1: does do the mountain lions prefer? H Yeah? I think

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Speaker 1: I think I mentioned the vons, So I'm gonna have

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Speaker 1: to maintain comedic consistency in that one. But yeah, no,

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Speaker 1: I mean California is huge. I was. I performed in

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Speaker 1: Eureka not too long ago, and it was it was

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Speaker 1: just you forget that the state is so big that

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Speaker 1: it has literally everything. Yeah, and I'll have family back

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Speaker 1: on the East coast or like, do you make it

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Speaker 1: up to San Francisco a lot? I'm like, do you

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Speaker 1: drive down to Baltimore all the time. They're like, no,

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Speaker 1: that's way far away. I was like, yeah, that's exactly

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Speaker 1: the distance. It's huge. Yeah, it's because it's like one state.

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Speaker 1: We think of it as being small, but having it's

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Speaker 1: such a huge territory, of course you're going to have

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Speaker 1: this like massive range which makes it difficult both for

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Speaker 1: humans and animals to traverse all those freeways. Yeah, one

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Speaker 1: of my favorite places to go. I'm really excited about

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Speaker 1: what you're bringing here because one of my favorite places

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Speaker 1: in l A to go is the Librea tar pits Um,

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Speaker 1: which is weird because it seems like a one and

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Speaker 1: done kind of a trip, but I go there all

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Speaker 1: the time. I like the smell, which is weird. It's

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Speaker 1: a objectively bad smell, but I like it. It's like gasoline.

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Speaker 1: There's something very tempting about that smells. Me just want

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Speaker 1: to touch the guitar, Like, Yeah, how would I do

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Speaker 1: with your targets? Oh? Not so good? Not so good?

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Speaker 1: But new TikTok challenge is going to be like thetbrea

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Speaker 1: tar pits Can you get out? I don't challenge. Well,

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Speaker 1: that's a very yes, that's a very apprescient thing to

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Speaker 1: talk about, because we are going to talk about um,

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Speaker 1: some big cats that have gone extinct that we're around

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Speaker 1: the Librea area. But first let's talk about a cat

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Speaker 1: that is actually a different, very different region in southwestern Europe. Um.

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Speaker 1: It is similar to cats you'll find in California and

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Speaker 1: in the rest of the United States. The bobcat. Now

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Speaker 1: you're probably familiar with the bobcat. Those are those cute cats.

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Speaker 1: They're wildcats, but they're not huge. They're bigger than a

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Speaker 1: house cat. They're about the size of like a dog.

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Speaker 1: They have that adorable little stubby tail. They're kind of spotty,

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Speaker 1: those pointy ears of the little ear toughs and those

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Speaker 1: mutton chops. Yeah, they look like Wolverine. Yes, not the animal,

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Speaker 1: but the guy, the fake the fictional character Wolverine. Yeah,

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Speaker 1: he's like he's kind of compact, but he's strong. Yeah,

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Speaker 1: he's strong but mighty. So you know. The Iberian lynx

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Speaker 1: is similar in appearance to the bobcat, but different. So uh,

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Speaker 1: it's found in southwestern Europe. It is related to the

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Speaker 1: Eurasian lynx, the Canada lynx, and the bobcats. So these

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Speaker 1: are the species of lynxes in the world. And it's

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Speaker 1: thought that the Iberian lynx shared a common ancestor with

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Speaker 1: the Eurasian lynx, and that the Eurasian lynx actually used

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Speaker 1: the bearing Land Bridge to cross over into North America

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Speaker 1: and basically became both the bobcats and the Canada lynxes.

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Speaker 1: So yes, eised, yeah, but can't see your hand there

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Speaker 1: needs to be like a sound for your hand raising

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Speaker 1: in a podcast like who oh I did it specifically

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Speaker 1: because it makes no sound, but I didn't want to interrupt. Well,

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Speaker 1: I've solved that problem for you, which we have. We

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Speaker 1: have exacerbated the problem, how fault Like when we say

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Speaker 1: common ancestor, I mean, isn't it like how far back

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Speaker 1: do you have to go? Because wouldn't they all technically

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Speaker 1: have a common ancestor it's a cat, because it would

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Speaker 1: have to be. There has to be some sort of

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Speaker 1: evolutionary spot where you're like, well, this is where you

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Speaker 1: start measuring where ancestry is common, because then we're always

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Speaker 1: just like, yeah, aren't we all that fish that walked

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Speaker 1: out of the water. It's actually yes. I mean like

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Speaker 1: both the fish that we started out as and a

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Speaker 1: primate that we started out those would both be common ancestors.

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Speaker 1: It just it's basically every time you step back you

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Speaker 1: will find another common ancestors. So you zoom in enough,

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Speaker 1: the smaller the time scale, usually like you'll have a

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Speaker 1: smaller group of species all sharing a common ancestor, So

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Speaker 1: like the lynxes all share a common ancestor that other

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Speaker 1: big cats do not share. They might share common ancestor

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Speaker 1: with Wolverine. I mean that's what I tell myself when

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Speaker 1: I want a little bit of an ego boost, Like, hey,

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Speaker 1: you know what, me and Wolverine we share a common ancestor.

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Speaker 1: So you know what, me and Lebron James are like

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Speaker 1: evolutionarily basically the same person, essentially the same. So like

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Speaker 1: when I put like forks between my fingers, it's not

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Speaker 1: you know, it's not a pathetic cosplay. It's actually, you know,

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Speaker 1: me sharing a common ancestry with It's correct, is what

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Speaker 1: it is. Well, speaking of Wolverine, the mutton chops, we

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Speaker 1: have to talk about them because the Iberian lynx, even

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Speaker 1: though it's similar to the bobcat, it is the differences

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Speaker 1: are very clear when you look at it. It is

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Speaker 1: a stunning looking animals. So bobcats are really cute. They're

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Speaker 1: kind of they've got these round, fluffy faces with these

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Speaker 1: cool side burns. But I Buring lynxes are much more

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Speaker 1: sharp looking, the more europe angular. Yeah, they yeah, they

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Speaker 1: have sort of this. Their mutton chops are longer and

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Speaker 1: more pointed. They look like, uh yeah, they just look

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Speaker 1: a little more debonair. I don't know, how else to

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Speaker 1: describe it. They are sleeker, even though they have the

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Speaker 1: same pointed ears and sort of spotted coats. They're leaner,

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Speaker 1: they're taller, uh, and they're longer than the bobcats. So

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Speaker 1: they're kind of like the bobcat's cool European cousin, which

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Speaker 1: it's like if you put a Bobcat and a pencil sharpener,

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Speaker 1: which we don't recommend on this podcast, but we don't

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Speaker 1: try because the standard North American bobcat that we think of, like,

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Speaker 1: it's a very pettible looking cat, whereas this one looks

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Speaker 1: like a knife, but like a very cool yeah, like

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Speaker 1: like it wouldn't surprise me to see this cat having

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Speaker 1: bottle service at a club. Yes, you know, it kind

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Speaker 1: of reminds me. It's like the difference between Move Fossa

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Speaker 1: and Scar. I always thought Scar was very cool looking.

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Speaker 1: I didn't approve of, you know, the whole like brother

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Speaker 1: murdering thing, but you know, he was a cool looking cat.

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Speaker 1: Sorry about your high horse caves. Some of us are

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Speaker 1: fine with fraud side. Okay, actually, I think including Bob

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Speaker 1: cats so h because if I remember correctly, I believe

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Speaker 1: sometimes the offspring do fight each other to the death.

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Speaker 1: But anyways, the Iberian links uh It is I think

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Speaker 1: a stunningly beautiful cat um, but it almost went extinct

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Speaker 1: starting in the twenty century with the usual suspects over hunting,

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Speaker 1: habitat loss, but even more deviously, uh It's main prey,

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Speaker 1: rabbits had their population decimated by disease. And you might

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Speaker 1: be thinking, like, finally something that is not humans faults. Well,

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Speaker 1: I'm sorry to say, uh still our faults. So what

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Speaker 1: happened is um with rabbits. There is a disease, a

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Speaker 1: virus called mixomatosis, and it was actually released by humans

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Speaker 1: to coll the rabbit populations in the nineteen fifties in

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Speaker 1: both France and in Australia. Now in Australia they have

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Speaker 1: a little bit of a better excuse. Rabbits are invasive,

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Speaker 1: but in France, rabbits are a natural part of the environment.

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Speaker 1: It's just that they were considered pasts and so they

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Speaker 1: let this disease run rapit decimate the population, which is

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Speaker 1: a problem for like a few reasons. One is, you

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Speaker 1: probably shouldn't just release a virus into the wild and

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Speaker 1: let it run its course. What movie are you making

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Speaker 1: here where they're just like you know we should do,

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Speaker 1: is we should make a virus that will absolutely mutate

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Speaker 1: and wipe us out exact. I mean that's like I

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Speaker 1: think that's how Resident Evil happens. Yeah, where we tried

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Speaker 1: to I mean, yeah, we we introduced a virus I

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Speaker 1: think to primates in that movie. But yes, so it

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Speaker 1: could become a zoonotic disease and kill us all um.

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Speaker 1: But you know, the most likely thing to happen is

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Speaker 1: it just decimates this rabbit population, which innovent itself is bad.

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Speaker 1: First of all, rabbits are an important part of the ecosystem.

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Speaker 1: They're cute and adorable, uh, and they are have a

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Speaker 1: massive impact on the other species of animals that live

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Speaker 1: with them, namely, uh, they're predators, like the Iberian lynx.

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Speaker 1: We think of things like a predator and prey as

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Speaker 1: being at odds with each other because they are, you know,

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Speaker 1: trying to kill each other or only only one person

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Speaker 1: believes that only one only one half of that of

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Speaker 1: that interaction believes the at odds aspect. The other one

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Speaker 1: thinks great, I think it's just great. Well, yeah, so

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Speaker 1: we think they have this adverse serial relationship, which is true,

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Speaker 1: but they also rely on each other. So like if you, uh,

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Speaker 1: if you don't have the rabbit population, obviously the Iberian

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Speaker 1: lynx is population is going to suffer tremendously. But on

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Speaker 1: the other hand, predator species are also important for prey

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Speaker 1: species because they do actually help keep their populations at

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Speaker 1: a sort of a maintenance level naturally without just introducing

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Speaker 1: a huge disease. And actually by having predator interactions with prey,

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Speaker 1: as long as everything is in balance, it can keep

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Speaker 1: that prey from succumbing to something like disease. Um. So

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Speaker 1: in this case, the fact that humans decided to you know,

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Speaker 1: just like introduce a disease to these rabbits, miant that

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Speaker 1: we decimated the Iberian lynx population. And so the Iberian

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Speaker 1: Lynx dwindled to under a hundred individuals. Uh, so they

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Speaker 1: were very close to extinction. Wow. Yeah, that's a that's

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Speaker 1: a what some would say if you're ever talking about

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Speaker 1: a population and that's the number you're going for. That's

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Speaker 1: like an old mining town population ten years after the

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Speaker 1: gold like went out, which I can actually imagine like

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Speaker 1: an old mining town population of bob cats, like you know,

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Speaker 1: wearing hats. Yeah, yeah, hello, dear, Yeah, the one too. Yeah, oh,

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Speaker 1: Bob's great, That's that's where we got that from folks

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Speaker 1: true story. So, uh, but this is not where the

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Speaker 1: story ends. So they did not go extinct like some

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Speaker 1: other cats we're going to talk about later. The Iberian

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Speaker 1: Lynxes are not quitters. Uh. They are making a comeback

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Speaker 1: now with the help of conservationists, of course, but they

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Speaker 1: are also incredibly intrepid, wonderful creatures. Oh, there have been

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Speaker 1: conservation efforts breeding the lynx in captivity, but ultimately it

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Speaker 1: is the Iberian lynx is refusal to die that has

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Speaker 1: paid off and meant that this reintroduction has been a success.

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Speaker 1: So after the captively bred lynxes were released, they have

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Speaker 1: shown incredible resilience living amongst humans and rebituating to their habitats.

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Speaker 1: So an example of how these lynxes are able to

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Speaker 1: like survive in in their limited habitat and like really

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Speaker 1: managed to kind of sneak their way around humans is

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Speaker 1: there have been these recorded examples. One was a lynx

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Speaker 1: hit her newborn cubs in a house while the owners

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Speaker 1: were throwing a house party. I mean that's pretty amazing. Yeah,

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Speaker 1: i mean it's like that's so that's like you just

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Speaker 1: crashed a house party. Yeah, and had your babies, put

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Speaker 1: your little babies in there. Yeah, they're like playing beer

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Speaker 1: pong over or they don't even notice you are giving

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Speaker 1: birth to a bunch of endangered lynx. Is probably wine pong.

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Speaker 1: Oh that's right, it is Europe. Yeah, it's probably a

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Speaker 1: bunch of wine pong. And then whenever you score, they

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Speaker 1: go hold instead of ha ha ha. They all do

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Speaker 1: the French. Does anyone smell some Iberian lynx after birth?

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Speaker 1: It's like, no, that is my stinky cheese. That You're

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Speaker 1: all cartoons. They are all cartoons. I'm sorry for you

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Speaker 1: got webbits. I'm sorry all of France. You all literally

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Speaker 1: sound like that. I will not apologize to France. And

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Speaker 1: they know what they did. They know what they did,

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Speaker 1: and I mean they're probably honestly more offended by the

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Speaker 1: idea that their cheese smells like lynx after birth. That

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Speaker 1: is what I'm going to get the hatmail about, not

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Speaker 1: the offensive accent. So another linx named Milvius, which I mean,

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Speaker 1: great name, first of all, good job conservationists. But Milvis

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Speaker 1: repeatedly robbed a rabbit research facility. He jumped over the

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Speaker 1: chain link fence and started just snatching these rabbits. Uh,

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Speaker 1: and just like used this research facility as his own

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Speaker 1: personal rabbit grocery store. I mean, that's that's a good move.

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Speaker 1: It's good work if you can get it. Honest, there's

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Speaker 1: there's his praise. That is the that's the dominoes of

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Speaker 1: of sort of that experien where he said it's gonna

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Speaker 1: have to work. It's just basically getting delivered for him. Yeah. Yeah, no,

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Speaker 1: make the humans work for them, which I think is fair.

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Speaker 1: You know, we like we have a miacopa, right, we

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Speaker 1: have an our bad with the whole disease, all the

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Speaker 1: rabbits and see if that works out. Okay, And now

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Speaker 1: the links is like you know what, hey, look, I'm

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Speaker 1: just gonna take some of your rabbits. You having your

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Speaker 1: research facility, and what are you going to do about it?

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Speaker 1: You know? Yeah, they all have makeup on Uh. Yeah, No,

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Speaker 1: I think this may have been a less well actually,

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Speaker 1: I don't know if it was one of the cause.

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Speaker 1: I don't think it was a cosmetic research facility, but

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Speaker 1: if it was even doubler, props to these lynxes. Yeah, right,

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00:21:26,280 --> 00:21:28,680
Speaker 1: like you're you know, you're really sticking it to Loreale.

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Speaker 1: That's French, right, this is the perfect solution. Let's get

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Speaker 1: rid of of, you know, cosmetic testing on rabbits because

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Speaker 1: we don't need it. But those linkses do need those bunnies, uh,

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Speaker 1: and so you know, turn them into links grocery stores

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Speaker 1: for the for you know, win win it's it's literally

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Speaker 1: a win win situation. I mean even for the even

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Speaker 1: for the rabbits, because I can guarantee becoming a Lynx's

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Speaker 1: dinner is probably better faith than being in a cosmetic

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Speaker 1: research lab. Actually probably definitely. H there's zero percent chance

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Speaker 1: that that's not the case. So conservationists have also tried

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Speaker 1: to make freeways safer for the lynx Is by installing

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Speaker 1: under passes, which are tunnels for the lynx Is to

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Speaker 1: walk through, and the links Is immediately picked up on

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Speaker 1: what these conservationists were laying down and learned to use

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Speaker 1: them good links, job links, secret links, tunnels. They love

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Speaker 1: it and they I love I love that aspect about

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Speaker 1: where they're like, yeah, well they're like working with it,

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Speaker 1: like you see a links with a hard hat on

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Speaker 1: being like, yeah, we're gonna need it a little bit

355
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Speaker 1: wider here. Sometimes my party babies need to come through

356
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Speaker 1: here with me, and they do a wide walk. Yeah,

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Speaker 1: it's got one of those those levels, you know, with

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Speaker 1: the little bubbles and then just like sort of shakily

359
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Speaker 1: holding out up with his pausing. I don't know if

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Speaker 1: this is structurally sound. Have you checked? Yeah? Yeah? Are

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Speaker 1: we going to do this? What's our what is what's

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Speaker 1: our sediment here? What's our sediment level? Here's gonna settle properly?

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Speaker 1: Are Yeah? Yeah, I mean there are so there are

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Speaker 1: a lot of animals that we try to sort of

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Speaker 1: have conservation with who are very fussy, um through no

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Speaker 1: fault of their own, they just like have very specific

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Speaker 1: evolutionary niche. They are very difficult to reintroduce to the wild.

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Speaker 1: But these Iberian lynxes are on it. They are so

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Speaker 1: they are so ready. They look crafty. Yeah, they're like

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Speaker 1: put me in coach, Yeah, yeah, they're they're ready to go.

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Speaker 1: It's a utility cat, yes, yeah. Yeah. And in fact,

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Speaker 1: so they have gone from less than a hundred individuals,

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Speaker 1: like under ninety individuals to over a thousand in the

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Speaker 1: wild US A lot of parties to crash. Yeah, and

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Speaker 1: I I have a lot of hope for them. I

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Speaker 1: am really hopeful about this story. And I'm I'm just

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Speaker 1: so happy that these guys are out there robbing labs.

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Speaker 1: It's wonderful. Good job, sharp kitty. Yeah, they really are

379
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Speaker 1: like Wolverine when he started that movie about stealing the bread.

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Speaker 1: Oh yeah, bread stealing Wolverine. Yeah. Alright, So we just

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Speaker 1: talked about the Iberian lynx that is clawing its way

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Speaker 1: back from near extinction, and now we're going to talk

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Speaker 1: about some big, bad cats that we're not so lucky. Um. So,

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Speaker 1: you know, we're talking about the LaBrea tart pits. And

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Speaker 1: one of the things that I think is sometimes surprising

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Speaker 1: to people is like that, you know, you had these incredible,

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Speaker 1: huge animals like mammoths, you know, just hanging out in

388
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Speaker 1: l A. Yeah, they're really big guys. I love them

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Speaker 1: so much. Also, in l A you would get things

390
00:24:42,119 --> 00:24:47,080
Speaker 1: like saber tooth tigers. I'm so excited about it. So

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Speaker 1: we have this particular perception of sabre tooth tigers as

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Speaker 1: being you know, like these huge lion like animals that

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Speaker 1: had these two huge saber teeth. You know, the more

394
00:25:01,880 --> 00:25:04,840
Speaker 1: we learn about them, the more interesting the picture gets.

395
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Speaker 1: Because we have these fossil records of these these big

396
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Speaker 1: cats that look like saber tooth tigers. And then as

397
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Speaker 1: we examine them, and there there are many different species

398
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Speaker 1: of animals that could be considered saber tooth tigers. Um,

399
00:25:18,119 --> 00:25:20,439
Speaker 1: we get a clear picture of what they were, what

400
00:25:20,520 --> 00:25:22,639
Speaker 1: the different species were, and what was going on. And

401
00:25:22,720 --> 00:25:26,879
Speaker 1: some of them, it turns out, aren't even cats. Um.

402
00:25:27,000 --> 00:25:32,879
Speaker 1: So right, it's so it's really fast. Yes. So uh first, uh,

403
00:25:33,200 --> 00:25:36,840
Speaker 1: not all sabretooth tigers just lit their things hang out.

404
00:25:37,880 --> 00:25:43,080
Speaker 1: So let's talk about only the cool ones letting it

405
00:25:43,119 --> 00:25:46,120
Speaker 1: all hang out. Yeah, the cool the cool bad boy

406
00:25:46,200 --> 00:25:48,800
Speaker 1: of the saber tooth tiger kingdom. Yeah. Actually, you know,

407
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Speaker 1: the Homothereum is a genus of lion size saber tooth

408
00:25:53,800 --> 00:25:57,600
Speaker 1: tigers that it went extinct about twelve thousand years ago,

409
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Speaker 1: and they were found all over the world from the

410
00:26:01,400 --> 00:26:06,320
Speaker 1: America's to Africa, and they did indeed, they were imperialists.

411
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Speaker 1: I don't know if that's what that means. Let's call

412
00:26:11,160 --> 00:26:15,600
Speaker 1: them cosmopolitan that that that that is fair, That that works. Also,

413
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Speaker 1: I would like to add before we continue that for

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Speaker 1: the people that are listening that are wondering why we're

415
00:26:20,160 --> 00:26:22,560
Speaker 1: not making wolverine saber tooth jokes, I want you to

416
00:26:22,600 --> 00:26:25,920
Speaker 1: know that we recognize that saber tooth is Wolverine's arch enemy.

417
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Speaker 1: We're just gonna keep moving. Yes, we both recognize that.

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Speaker 1: We both knew that for sure. Yeah, that's all we

419
00:26:33,720 --> 00:26:37,159
Speaker 1: talked about before recording exactly. I was the lore of

420
00:26:37,240 --> 00:26:41,640
Speaker 1: Marvel comics, Wolverine. I will stay I know the lore

421
00:26:41,720 --> 00:26:44,639
Speaker 1: of Marvel comics deeply, and I'm not just saying this

422
00:26:44,760 --> 00:26:47,840
Speaker 1: so I won't get emails. It's absolutely true and I

423
00:26:47,880 --> 00:26:51,000
Speaker 1: don't need to learn anything else about it. So that

424
00:26:51,080 --> 00:26:54,399
Speaker 1: let's move on. Let's prevent that from the from the

425
00:26:54,440 --> 00:26:58,560
Speaker 1: inbox there, let's pull that out. So yeah, so the

426
00:26:58,800 --> 00:27:03,440
Speaker 1: Ethereum saber tooth tigers was specific species of saber tooth tigers,

427
00:27:03,480 --> 00:27:07,399
Speaker 1: and they had those giant things. And originally we thought

428
00:27:07,720 --> 00:27:10,960
Speaker 1: that these things just kind of like stuck out um.

429
00:27:11,040 --> 00:27:16,040
Speaker 1: But a new research they may have actually politely tucked

430
00:27:16,080 --> 00:27:21,439
Speaker 1: in their fings into lower lip pouches. So researchers observed

431
00:27:21,440 --> 00:27:25,359
Speaker 1: the ways that lions yawned and that their fings would

432
00:27:25,400 --> 00:27:29,920
Speaker 1: fit into their lower lips. Uh, and they made calculations

433
00:27:29,960 --> 00:27:34,520
Speaker 1: based on the homothereums the specific species. Actually, there are

434
00:27:34,560 --> 00:27:41,240
Speaker 1: multiple species of Homothereum, but this specific species homothereum Lattidin's.

435
00:27:41,720 --> 00:27:46,160
Speaker 1: They had this like mouth structure that researchers were able

436
00:27:46,240 --> 00:27:50,000
Speaker 1: to examine, and they realized that there's actually room and

437
00:27:50,160 --> 00:27:56,000
Speaker 1: these lip pouches for them to fit their things. So, uh,

438
00:27:56,160 --> 00:28:01,040
Speaker 1: how polite a polite little teeth purse. Yeah, there's also

439
00:28:01,080 --> 00:28:03,400
Speaker 1: it's interesting it seems like they also had these cute

440
00:28:03,400 --> 00:28:08,080
Speaker 1: little bob tails, so they kind of looked like big

441
00:28:08,720 --> 00:28:14,000
Speaker 1: bobcats instead of like big toothy lines. Could they be

442
00:28:14,119 --> 00:28:20,160
Speaker 1: the missing links? I'm so sorry. Now that's a good one.

443
00:28:20,160 --> 00:28:23,520
Speaker 1: I kind of walked right into that, just like a

444
00:28:23,560 --> 00:28:25,600
Speaker 1: lot of these saber tooth tigers walked right in the

445
00:28:25,640 --> 00:28:29,800
Speaker 1: little bread tarpets. Oh roasted boot Oh no, those are

446
00:28:29,840 --> 00:28:32,760
Speaker 1: so good. They make me want to smile lad on nice.

447
00:28:33,359 --> 00:28:35,720
Speaker 1: Speaking of the smile add on, the smile add On

448
00:28:36,000 --> 00:28:39,160
Speaker 1: is a genus of saber tooth tigers where their teeth

449
00:28:39,200 --> 00:28:43,840
Speaker 1: actually did stick out all goofy like like a big

450
00:28:43,840 --> 00:28:46,360
Speaker 1: old smile. I legitimately thought that the smile add on

451
00:28:46,720 --> 00:28:49,120
Speaker 1: was named that because of the way the teeth was

452
00:28:49,200 --> 00:28:52,080
Speaker 1: ye like this big old smile d on. The largest

453
00:28:52,320 --> 00:28:56,280
Speaker 1: saber tooth did have teeth truly so big that they

454
00:28:56,280 --> 00:28:59,400
Speaker 1: couldn't fit them in their lip folds, and they kind

455
00:28:59,400 --> 00:29:03,520
Speaker 1: of stuck out like these big silly daggers. And this

456
00:29:03,600 --> 00:29:06,120
Speaker 1: is where it gets really interesting, because you look at

457
00:29:06,160 --> 00:29:09,760
Speaker 1: this little bob tailed homothereums and you look at the

458
00:29:09,800 --> 00:29:11,960
Speaker 1: smile ad On and you think, Okay, the smile Don

459
00:29:12,120 --> 00:29:15,440
Speaker 1: has these huge things, these huge just like these big daggers.

460
00:29:15,560 --> 00:29:18,160
Speaker 1: It's got to be taking down the bigger prey, the

461
00:29:18,280 --> 00:29:22,000
Speaker 1: tougher prey, because it has this much more fearsome looking

462
00:29:22,040 --> 00:29:26,440
Speaker 1: mouth and the polite smaller homothereum. They must have been

463
00:29:26,480 --> 00:29:29,440
Speaker 1: a little more you know, taking down smaller prey, a

464
00:29:29,480 --> 00:29:32,960
Speaker 1: little more coy about it. Yeah. Yeah, But in fact

465
00:29:33,120 --> 00:29:37,960
Speaker 1: the opposite is probably true. So the smile Adon, despite

466
00:29:38,040 --> 00:29:41,960
Speaker 1: having larger teeth in size, it didn't go after the

467
00:29:42,080 --> 00:29:46,680
Speaker 1: toughest prey. It probably preferred to prey on things like

468
00:29:46,840 --> 00:29:52,000
Speaker 1: deer or tape ears rather than chase down large bison. Uh.

469
00:29:52,040 --> 00:29:55,520
Speaker 1: And it had a weaker bite force than modern cats.

470
00:29:56,080 --> 00:30:00,640
Speaker 1: That makes sense actually, right. Yeah, The technique used was

471
00:30:00,720 --> 00:30:05,240
Speaker 1: just using those big old things that it had as daggers,

472
00:30:05,320 --> 00:30:08,520
Speaker 1: and so you know, it only needed so much bite force.

473
00:30:08,960 --> 00:30:12,800
Speaker 1: Basically stab an animal in the neck with its dagger

474
00:30:12,880 --> 00:30:15,840
Speaker 1: teeth and take it down. But it wouldn't be very

475
00:30:15,880 --> 00:30:18,960
Speaker 1: good for taking down something really big and tough like

476
00:30:19,000 --> 00:30:21,680
Speaker 1: a mammoth or a bison. Yeah, it's like getting stabbed

477
00:30:21,680 --> 00:30:26,160
Speaker 1: one time versus thirty times with like the smaller teeth.

478
00:30:26,160 --> 00:30:27,680
Speaker 1: It's gonna be like, yeah, that's probably gonna do a

479
00:30:27,720 --> 00:30:30,280
Speaker 1: lot more damage in the in the long run. Well,

480
00:30:30,360 --> 00:30:32,800
Speaker 1: so this is what brings us to the home ethereum,

481
00:30:33,040 --> 00:30:36,560
Speaker 1: which didn't have those. It had larger things than like

482
00:30:36,560 --> 00:30:39,840
Speaker 1: a modern day lion, but they weren't sticking out and

483
00:30:39,880 --> 00:30:41,720
Speaker 1: they were smaller. They look, you know, they had that

484
00:30:41,720 --> 00:30:44,840
Speaker 1: little bob tailed me a little cuter, but they would

485
00:30:44,920 --> 00:30:48,600
Speaker 1: take down larger prey than the smilodon uh, such as

486
00:30:48,760 --> 00:30:53,640
Speaker 1: young mammoths and mastodons and bison, and its jaws were

487
00:30:53,840 --> 00:30:58,920
Speaker 1: perfect for grabbing, holding and tearing through tough flesh, so

488
00:30:59,080 --> 00:31:02,280
Speaker 1: it could grab onto something, you know. Those those big

489
00:31:02,320 --> 00:31:04,320
Speaker 1: things did help it like get a hold on it

490
00:31:04,400 --> 00:31:08,160
Speaker 1: and then it would tear big chunks off. So yeah,

491
00:31:08,200 --> 00:31:13,000
Speaker 1: we've who's we've all been there. When you sit down

492
00:31:13,520 --> 00:31:15,959
Speaker 1: with your mammoth, I always say, you know, cheer your

493
00:31:16,000 --> 00:31:18,720
Speaker 1: mammoth or else you're gonna choke on it. Yeah, cheer

494
00:31:18,760 --> 00:31:22,280
Speaker 1: your mammoth in massive chunks. Yeah. Yeah, it's called a

495
00:31:22,400 --> 00:31:25,920
Speaker 1: mass to dawn because you've gotta masticate a lot because

496
00:31:25,960 --> 00:31:30,760
Speaker 1: it is Yeah, like that, that was very good. This

497
00:31:30,800 --> 00:31:34,520
Speaker 1: is a cave caveman dad humor. You know, it's it's

498
00:31:34,840 --> 00:31:38,560
Speaker 1: dad humor. Has been around since we were caveman. So

499
00:31:40,280 --> 00:31:42,840
Speaker 1: I mean, I'm in, I'm in. That's why I go

500
00:31:42,960 --> 00:31:47,560
Speaker 1: down to my man cave. So we have this clearer picture, right,

501
00:31:47,600 --> 00:31:51,200
Speaker 1: So we have different kinds of saber tooth tigers. We

502
00:31:51,280 --> 00:31:53,719
Speaker 1: had the smile it On that was like sort of

503
00:31:53,720 --> 00:31:57,240
Speaker 1: the archetypical saber tooth and it's big teeth sticking out,

504
00:31:57,320 --> 00:32:00,280
Speaker 1: but it actually went after smaller prey than the ones

505
00:32:00,360 --> 00:32:03,640
Speaker 1: that didn't have those teeth sticking out. Um. But there

506
00:32:03,840 --> 00:32:08,320
Speaker 1: is another thing that seems like a saber tooth tiger

507
00:32:08,880 --> 00:32:12,280
Speaker 1: but is not at all a saber tooth tiger, and

508
00:32:12,320 --> 00:32:18,040
Speaker 1: that is the bi Lacos Smillests. That is a honker

509
00:32:18,080 --> 00:32:21,920
Speaker 1: of a name. Thi Lacco Smelless was once thought to

510
00:32:21,960 --> 00:32:26,320
Speaker 1: be a genus of big Cat. Indeed, they looked like

511
00:32:26,360 --> 00:32:30,480
Speaker 1: a saber tooth tiger. They lived in South America and

512
00:32:30,520 --> 00:32:36,040
Speaker 1: went extinct around three million years ago. Yikes, So it

513
00:32:36,240 --> 00:32:41,680
Speaker 1: probably did not overlap with a smile on or the homothereum. Uh.

514
00:32:41,720 --> 00:32:45,320
Speaker 1: In fact, it wasn't even a cat, despite looking very

515
00:32:45,400 --> 00:32:52,320
Speaker 1: cat like, so was in fact a landfish is what

516
00:32:52,360 --> 00:32:54,520
Speaker 1: we call them, which actually, you know, when you think

517
00:32:54,560 --> 00:32:59,040
Speaker 1: about it, aren't all mammals just land fish don't, isn't it? Like?

518
00:32:59,120 --> 00:33:03,160
Speaker 1: I always think about the evolution of whales as being

519
00:33:03,200 --> 00:33:07,400
Speaker 1: the weirdest form of that biological evolution because they were

520
00:33:07,440 --> 00:33:11,160
Speaker 1: like wolves basically. Yeah. So first they were least tiny,

521
00:33:11,240 --> 00:33:14,440
Speaker 1: like deer like animals, the whales, and then they turned

522
00:33:14,440 --> 00:33:19,360
Speaker 1: into like a weird alligator otter. H it's like semi aquatic,

523
00:33:19,440 --> 00:33:23,760
Speaker 1: horrifying looking cross between a crocodile and an otter. And

524
00:33:23,800 --> 00:33:26,880
Speaker 1: then it turned into sort of a weird, almost hippo

525
00:33:27,040 --> 00:33:30,280
Speaker 1: like thing, and then it started to turn into the whale.

526
00:33:30,320 --> 00:33:33,160
Speaker 1: So it went from the sea to the land back

527
00:33:33,160 --> 00:33:39,040
Speaker 1: to the sea. Yeah, it's a crazy glow up. So,

528
00:33:39,400 --> 00:33:43,240
Speaker 1: but Dilaco Smillis was not a cat. Despite seeming like

529
00:33:43,280 --> 00:33:47,200
Speaker 1: a cat, it sadly never had a glow up either.

530
00:33:47,320 --> 00:33:50,920
Speaker 1: It just remained funky until it went extinct. It had

531
00:33:51,000 --> 00:33:55,200
Speaker 1: these large saber like canines, and not only that, but

532
00:33:55,320 --> 00:33:59,320
Speaker 1: a bone structure on their lower jaw that supported the canines,

533
00:33:59,600 --> 00:34:04,400
Speaker 1: which looked like long scabbard shaped curved double chin, so

534
00:34:04,440 --> 00:34:08,120
Speaker 1: it looked like jay Leno's chin. But take that cleft

535
00:34:08,200 --> 00:34:14,360
Speaker 1: and probably have like basically just two chins coming out

536
00:34:15,320 --> 00:34:19,960
Speaker 1: that heard about this my two chins that holds my big,

537
00:34:21,239 --> 00:34:26,360
Speaker 1: my big saber teeth. Yeah. Yeah, So basically these chin scabbards,

538
00:34:26,600 --> 00:34:30,879
Speaker 1: they didn't completely sheathe the teeth. It partially protected them

539
00:34:30,920 --> 00:34:34,160
Speaker 1: from damage. But it's thought that like one side probably

540
00:34:34,320 --> 00:34:39,080
Speaker 1: did stick out, and it had a cat like tail,

541
00:34:39,719 --> 00:34:42,400
Speaker 1: it had claws, and it was about the size of

542
00:34:42,400 --> 00:34:47,279
Speaker 1: a jaguar. But researchers realized that this was not a

543
00:34:47,320 --> 00:34:52,400
Speaker 1: cat at all, but actually a close relative to the marsupials.

544
00:34:52,480 --> 00:34:58,759
Speaker 1: It was a sparacodont. Okay, I'm right, see what we

545
00:34:58,840 --> 00:35:02,719
Speaker 1: got going on here? Science. I always love that. One

546
00:35:02,719 --> 00:35:07,160
Speaker 1: of my favorite jokes is the Jim Gaffrigan seahorse joke

547
00:35:08,440 --> 00:35:11,040
Speaker 1: where the scientists where he's like, yeah, that's the female seahorse.

548
00:35:11,080 --> 00:35:13,239
Speaker 1: He's like it's having babies, and he's like that's the

549
00:35:13,280 --> 00:35:16,719
Speaker 1: male and he's like having babies like the male has

550
00:35:16,800 --> 00:35:19,120
Speaker 1: the babies just making stuff up when they're like that

551
00:35:19,280 --> 00:35:21,080
Speaker 1: that's a that's a fish. Now that was that was

552
00:35:21,120 --> 00:35:23,600
Speaker 1: a fish. Yeah, I will admit it does seem like

553
00:35:23,760 --> 00:35:25,759
Speaker 1: pile just are just kind of making things up as

554
00:35:25,840 --> 00:35:29,200
Speaker 1: they go. But really they're just discovering new things as

555
00:35:29,239 --> 00:35:34,799
Speaker 1: they go. There are rules. Although this this thing, the

556
00:35:35,239 --> 00:35:40,759
Speaker 1: dilacto smellss uh. It feels like it's made up. It's

557
00:35:40,800 --> 00:35:43,960
Speaker 1: breaking every rule. I mean, Jeff, just just look at

558
00:35:44,000 --> 00:35:48,200
Speaker 1: a picture of it. I I also recommend everyone else

559
00:35:48,200 --> 00:35:49,840
Speaker 1: look at a picture of it because you really just

560
00:35:50,160 --> 00:35:53,680
Speaker 1: you have to look at this thing's face and really

561
00:35:53,800 --> 00:35:59,239
Speaker 1: question everything about life and existence. Yeah, I mean I'm

562
00:35:59,239 --> 00:36:03,319
Speaker 1: not mad about it. We're gonnat. I'm a fan. Like

563
00:36:03,400 --> 00:36:05,160
Speaker 1: that's what I want out of my animals, is I

564
00:36:05,200 --> 00:36:09,359
Speaker 1: want them to look stupid. Yeah. So it's got this

565
00:36:09,440 --> 00:36:15,799
Speaker 1: like really long like double chin that just like is

566
00:36:15,880 --> 00:36:18,040
Speaker 1: supporting this long tooth. And we know it has this

567
00:36:18,120 --> 00:36:20,400
Speaker 1: because it's like it's bone. It's made out of bones,

568
00:36:20,520 --> 00:36:24,520
Speaker 1: so it survives in fossil evidence. Uh, And it has

569
00:36:24,560 --> 00:36:28,560
Speaker 1: such a bizarre anatomy and paleo illustrators have just gone

570
00:36:28,800 --> 00:36:32,520
Speaker 1: wild with different interpretations of this, Like some look like

571
00:36:32,960 --> 00:36:38,840
Speaker 1: basically a lion, just with a huge pointy jay leno chin. Uh.

572
00:36:38,920 --> 00:36:44,560
Speaker 1: Some looks like kind of like a bonkers Tasmanian devil. Again,

573
00:36:44,640 --> 00:36:47,480
Speaker 1: like all of these have the weird chin, Like the

574
00:36:47,560 --> 00:36:50,480
Speaker 1: one of them, it just looks like nuts. It just

575
00:36:50,520 --> 00:36:52,840
Speaker 1: looks like nuts. There's no way to get past it.

576
00:36:53,160 --> 00:36:55,279
Speaker 1: Can google it. You're gonna come across the pictures. You're

577
00:36:55,280 --> 00:36:58,440
Speaker 1: gonna be like that is nuts. One has interpreted the

578
00:36:58,480 --> 00:37:01,799
Speaker 1: chin as being a little like more separated, like the

579
00:37:01,840 --> 00:37:05,840
Speaker 1: cleft being a little more wild forked, yeah, more forked.

580
00:37:06,200 --> 00:37:08,400
Speaker 1: Or there's one that kind of looks like a nightmare

581
00:37:08,440 --> 00:37:12,920
Speaker 1: otter with a long tongue, and there's some speculation like

582
00:37:13,040 --> 00:37:19,799
Speaker 1: maybe this had a long tongue for slurping organs. So uh,

583
00:37:20,719 --> 00:37:23,239
Speaker 1: just trying to like they're just trying to be like

584
00:37:23,360 --> 00:37:27,359
Speaker 1: it was a vampire. They're trying so hard to just

585
00:37:27,440 --> 00:37:30,200
Speaker 1: be like it was Morbius. It was like it was

586
00:37:30,360 --> 00:37:34,200
Speaker 1: it was, it was it was Morbous. Let's let's scare

587
00:37:34,239 --> 00:37:39,560
Speaker 1: it here. This is Morbous. Ah, So Morbous is not

588
00:37:39,680 --> 00:37:42,440
Speaker 1: a cat we know like that, so just so that

589
00:37:42,480 --> 00:37:47,279
Speaker 1: people know Morbous not a no, yeah, I mean more

590
00:37:47,360 --> 00:37:50,879
Speaker 1: bus was a failure, I think more quickly than these

591
00:37:51,000 --> 00:37:55,120
Speaker 1: ridiculous things were a failure. But this thing is is

592
00:37:55,160 --> 00:37:59,920
Speaker 1: an evolutionary prank. It feels like it doesn't it sosa

593
00:38:00,040 --> 00:38:03,160
Speaker 1: trus despite having these big things, You think like, okay,

594
00:38:03,200 --> 00:38:07,120
Speaker 1: so maybe they have a similar strategy to like the

595
00:38:07,480 --> 00:38:10,839
Speaker 1: smell it on that like stabs things to death. It was,

596
00:38:11,719 --> 00:38:14,640
Speaker 1: but they think, no, it didn't stab things, it didn't

597
00:38:14,640 --> 00:38:20,480
Speaker 1: grab and tear things. It was potentially a scavenger. Who

598
00:38:20,680 --> 00:38:22,560
Speaker 1: I mean, first of all, I forgot to mention it

599
00:38:22,560 --> 00:38:25,920
Speaker 1: has a pouch, so that's another thing. It just carries

600
00:38:25,920 --> 00:38:30,120
Speaker 1: its babies in a pouch. Um, yeah, why not? Yeah?

601
00:38:30,120 --> 00:38:33,680
Speaker 1: Why not? Why why not have some animals? And then

602
00:38:33,680 --> 00:38:35,359
Speaker 1: I had a pinwheel on its head and then could

603
00:38:35,400 --> 00:38:38,600
Speaker 1: like flick it and go pl you know yeah yeah,

604
00:38:38,680 --> 00:38:41,080
Speaker 1: Poka dots, yeah, bright yellow PoCA dots yeah yeah. And

605
00:38:41,080 --> 00:38:44,920
Speaker 1: and and police sirens. Uh. And when you booped its nose,

606
00:38:44,960 --> 00:38:49,839
Speaker 1: it played all stars. Somebody once told me my chin

607
00:38:50,080 --> 00:38:53,839
Speaker 1: was gonna roll me. But yeah, so yeah, it's ridiculous.

608
00:38:53,960 --> 00:38:57,959
Speaker 1: And they thought that maybe it used its huge things

609
00:38:58,040 --> 00:39:03,440
Speaker 1: like surgical instruments to hair open carcasses and then scooped

610
00:39:03,520 --> 00:39:06,520
Speaker 1: up organs and then used a long tongue to slurp

611
00:39:06,600 --> 00:39:10,400
Speaker 1: the innerds. That's one theory. I like how. One of

612
00:39:10,440 --> 00:39:14,400
Speaker 1: the theories is maybe it was lazy, like maybe it

613
00:39:14,440 --> 00:39:17,080
Speaker 1: didn't want to hunt. Maybe it just wanted to find food.

614
00:39:17,239 --> 00:39:19,960
Speaker 1: Maybe it was a weird freak that cut up corpses

615
00:39:20,040 --> 00:39:23,160
Speaker 1: and slurped out the organ juice. Yeah, now they're just

616
00:39:23,200 --> 00:39:31,480
Speaker 1: being like bullying teenage girls. Maybe it's dad's weird. I

617
00:39:31,560 --> 00:39:35,000
Speaker 1: mean on this in this specific scenario, I kind of

618
00:39:35,080 --> 00:39:37,680
Speaker 1: am on the side of the bowling teenage girls because like,

619
00:39:37,719 --> 00:39:41,760
Speaker 1: look at it. Come on, his animals should be bullied. Yeah,

620
00:39:41,800 --> 00:39:46,000
Speaker 1: he is very different, and that's the message of today.

621
00:39:46,200 --> 00:39:49,400
Speaker 1: You should bullying animals that are different from you. So

622
00:39:49,760 --> 00:39:55,680
Speaker 1: you're voting for that for prom queen. So other researchers

623
00:39:55,719 --> 00:39:58,520
Speaker 1: speculate that the tongue was less of a slurping tool

624
00:39:58,920 --> 00:40:02,480
Speaker 1: and more like a big cats uh of today, where

625
00:40:02,480 --> 00:40:05,120
Speaker 1: they have this popilla covered tongue. So, you know, like

626
00:40:05,520 --> 00:40:08,600
Speaker 1: a big cat, their tongue is like sand paper. They

627
00:40:08,640 --> 00:40:12,480
Speaker 1: can actually shave flesh off of bones. You know how

628
00:40:12,520 --> 00:40:16,960
Speaker 1: your little kiddies, your little house cat's tongue is so scratchy. Well,

629
00:40:17,000 --> 00:40:20,200
Speaker 1: a big lion's tongue is super scratchy and can literally

630
00:40:20,719 --> 00:40:23,359
Speaker 1: rip flesh off of a bone by licking it. And

631
00:40:23,400 --> 00:40:27,040
Speaker 1: so that's one speculation is that this man had like

632
00:40:27,080 --> 00:40:30,800
Speaker 1: a sand paper tongue like with you know, like slice

633
00:40:30,800 --> 00:40:33,439
Speaker 1: open a carcass with its big weird teeth and then

634
00:40:33,480 --> 00:40:36,560
Speaker 1: just like lick the flesh off of bones. But it

635
00:40:36,719 --> 00:40:41,640
Speaker 1: seems like all researchers agree. Despite there being many different theories,

636
00:40:41,719 --> 00:40:44,000
Speaker 1: the one thing they all agree on was this thing.

637
00:40:44,520 --> 00:40:49,719
Speaker 1: It was a freak. It was weird, very strange scientific analysis,

638
00:40:50,160 --> 00:40:53,960
Speaker 1: freaking weirdo. And that's fine. I love when you see

639
00:40:54,000 --> 00:40:57,080
Speaker 1: microscopic looks at what the popula look like and like, oh,

640
00:40:57,280 --> 00:41:02,279
Speaker 1: meat hair, yeah, meat, little meat hairs. We'll meat meat

641
00:41:02,400 --> 00:41:06,640
Speaker 1: meat hooks. So when you're when your cats licking you

642
00:41:06,880 --> 00:41:10,480
Speaker 1: that sand papery field, that's sharp meat hair. I mean,

643
00:41:10,520 --> 00:41:14,480
Speaker 1: I feel I wonder, I don't know the answer answer

644
00:41:14,520 --> 00:41:16,319
Speaker 1: to this, but I wonder how long it would take

645
00:41:16,360 --> 00:41:18,560
Speaker 1: for a cat to lick like the same spot on

646
00:41:18,680 --> 00:41:21,680
Speaker 1: your skin before your skin starts coming off, because I

647
00:41:21,719 --> 00:41:28,560
Speaker 1: feel like maybe like hours, days, maybe I don't know that.

648
00:41:28,640 --> 00:41:30,560
Speaker 1: I feel like that would be like trying to be

649
00:41:30,560 --> 00:41:32,040
Speaker 1: like I wonder how long it would take for me

650
00:41:32,080 --> 00:41:34,960
Speaker 1: to punch a rock until it broke. Like it might

651
00:41:34,960 --> 00:41:36,719
Speaker 1: be one of those things where it's like this is

652
00:41:36,880 --> 00:41:39,239
Speaker 1: this is not going to work. The word I mean

653
00:41:39,320 --> 00:41:42,120
Speaker 1: licks to get to the center of a meat meat pop.

654
00:41:42,400 --> 00:41:46,200
Speaker 1: You know, I don't know. Well, only one way to

655
00:41:46,239 --> 00:41:51,040
Speaker 1: find out. I gotta I gotta die and have a cat. Yeah. Yeah,

656
00:41:51,080 --> 00:41:53,080
Speaker 1: but we're going to take a quick break, but when

657
00:41:53,120 --> 00:41:54,680
Speaker 1: we get back, we are going to talk a little

658
00:41:54,680 --> 00:41:59,799
Speaker 1: bit more about our domesticated cats. Uh and you know

659
00:42:00,080 --> 00:42:02,479
Speaker 1: if we should let them literally lick us to death,

660
00:42:02,840 --> 00:42:10,200
Speaker 1: because maybe so, I want to talk about our domesticated cats.

661
00:42:10,320 --> 00:42:14,000
Speaker 1: Our house cats are wonderful kiddies. They I think they

662
00:42:14,080 --> 00:42:16,200
Speaker 1: love us, but they're not going to look a gift

663
00:42:16,239 --> 00:42:18,399
Speaker 1: horse in the mouth and not eat us if they die.

664
00:42:18,440 --> 00:42:21,160
Speaker 1: You know what I mean? What's our last gift to

665
00:42:21,200 --> 00:42:25,160
Speaker 1: our cats? You know? I mean it's like unless you

666
00:42:25,239 --> 00:42:27,360
Speaker 1: leave like a massive amount of money in your wheel

667
00:42:29,719 --> 00:42:34,719
Speaker 1: and this will go to Mrs Muffins and uh, you

668
00:42:34,760 --> 00:42:39,160
Speaker 1: know this whole investment portfolio and all my bitcoins, all

669
00:42:39,200 --> 00:42:44,440
Speaker 1: my apes go to my cat. Doage coin go to

670
00:42:44,520 --> 00:42:48,840
Speaker 1: my dog? Obvious? Yeah, that's that's obvious. That seems discriminatory

671
00:42:48,840 --> 00:42:51,920
Speaker 1: that there's like doge coin, but there's no cadge coin.

672
00:42:53,400 --> 00:42:56,680
Speaker 1: I guarantee you there's cat coins. That's probably right, you know,

673
00:42:56,960 --> 00:43:01,920
Speaker 1: I should be arguing for fewer crypto coin, not more. Um,

674
00:43:02,160 --> 00:43:05,480
Speaker 1: unless all crypto coin is is just like a little

675
00:43:05,800 --> 00:43:08,839
Speaker 1: like token that's you give to a cat and then

676
00:43:09,400 --> 00:43:13,919
Speaker 1: the cat receives scratches for the token that I would endorse. Yeah,

677
00:43:13,960 --> 00:43:16,319
Speaker 1: that's that would be great. That would be like a

678
00:43:16,400 --> 00:43:21,960
Speaker 1: very fungible token for pets. So, cats I think are

679
00:43:22,000 --> 00:43:24,880
Speaker 1: really interesting because we kind of think of them as

680
00:43:25,680 --> 00:43:28,560
Speaker 1: being less personable than dogs. You know, they're they're not

681
00:43:29,000 --> 00:43:31,799
Speaker 1: They're not as friendly, they're more independent. You know. The

682
00:43:31,880 --> 00:43:34,040
Speaker 1: idea is like, oh, you know, maybe this cat is

683
00:43:34,080 --> 00:43:38,319
Speaker 1: just using me for food. Uh, and it doesn't like

684
00:43:38,560 --> 00:43:43,000
Speaker 1: form friendships. But there is some research that is digging

685
00:43:43,000 --> 00:43:45,640
Speaker 1: into that question of like our cats truly sort of

686
00:43:45,719 --> 00:43:49,800
Speaker 1: like the solitary creature, or you know, can they have friends?

687
00:43:50,040 --> 00:43:52,520
Speaker 1: I mean, I like to think I'm a friend of cats.

688
00:43:54,200 --> 00:43:56,560
Speaker 1: Is this a one sided friendship? Though? Are you always

689
00:43:56,600 --> 00:43:59,120
Speaker 1: texting these cats and they're like, oh, sorry, I can't

690
00:43:59,120 --> 00:44:02,800
Speaker 1: do it tonight. Maybe later. Yeah, they're just like sorry,

691
00:44:02,880 --> 00:44:06,000
Speaker 1: just just read this, just got this text. Yeah, and

692
00:44:06,040 --> 00:44:09,879
Speaker 1: you know that you saw it was seen like days ago.

693
00:44:10,200 --> 00:44:12,759
Speaker 1: It's like, sorry I missed this. You have your your

694
00:44:12,760 --> 00:44:20,359
Speaker 1: read receipts are on. Sorry. Yes, Actually feel like cat

695
00:44:20,400 --> 00:44:23,480
Speaker 1: would just be like no, yeah, no, that is I

696
00:44:23,480 --> 00:44:26,279
Speaker 1: think that's more of a cat's vibe. Is just like

697
00:44:26,760 --> 00:44:29,480
Speaker 1: or leaving you on read actually is the cat's vibe.

698
00:44:29,640 --> 00:44:33,440
Speaker 1: That's the ultimate cat move, just leaving you on read. Uh.

699
00:44:33,480 --> 00:44:37,040
Speaker 1: But you know, we're looking into whether whether cats would

700
00:44:37,040 --> 00:44:39,800
Speaker 1: go stoot or if maybe they have just a small

701
00:44:39,800 --> 00:44:43,280
Speaker 1: sliver of compassion in their kitty hearts. And they looked

702
00:44:43,320 --> 00:44:48,280
Speaker 1: into other cats actually form social bonds with other cats,

703
00:44:49,000 --> 00:44:52,240
Speaker 1: and they wanted to see, like can of cat learned

704
00:44:52,280 --> 00:44:56,480
Speaker 1: something like another cat's name, And so they looked at

705
00:44:57,040 --> 00:45:00,680
Speaker 1: they had to find cats that had like social connection,

706
00:45:00,719 --> 00:45:02,720
Speaker 1: so cats that lived with other cats. But they wanted

707
00:45:02,760 --> 00:45:06,719
Speaker 1: to compare cats that had these close bonds with other

708
00:45:06,760 --> 00:45:10,760
Speaker 1: cats and cats that had more casual acquaintances with other cats.

709
00:45:10,760 --> 00:45:13,720
Speaker 1: And the way they did this is they compared groups

710
00:45:13,719 --> 00:45:18,200
Speaker 1: of cats in cat cafes and house cats that lived

711
00:45:18,200 --> 00:45:24,680
Speaker 1: in homes. Yeah. So in cat cafes usually the setup

712
00:45:24,800 --> 00:45:27,240
Speaker 1: is like you have a bunch of cats, but unlike

713
00:45:27,280 --> 00:45:30,759
Speaker 1: a cat colony or multiple cats in a home. You know,

714
00:45:30,840 --> 00:45:34,160
Speaker 1: like these cats maybe you know there are so many

715
00:45:34,239 --> 00:45:38,360
Speaker 1: of them, they're less likely to form these interpersonal relationship.

716
00:45:38,440 --> 00:45:41,680
Speaker 1: There's sort of interactions with each other is more limited.

717
00:45:41,680 --> 00:45:43,640
Speaker 1: But have you been I have not been to a

718
00:45:43,680 --> 00:45:47,520
Speaker 1: cat cafe. I kind of want, but I tried to

719
00:45:47,560 --> 00:45:49,960
Speaker 1: get in and they were like, oh, we are booked.

720
00:45:50,120 --> 00:45:52,080
Speaker 1: Did you not make a reservation? And I was like

721
00:45:52,160 --> 00:45:54,160
Speaker 1: that's fair. And then I was like, I don't know

722
00:45:54,200 --> 00:45:57,440
Speaker 1: if I want like a beverage in a place with

723
00:45:57,480 --> 00:45:59,680
Speaker 1: that many cats, because that's kind of like a cat

724
00:45:59,680 --> 00:46:02,440
Speaker 1: cafe is a kind of place that like the the

725
00:46:02,440 --> 00:46:05,799
Speaker 1: government should get involved to like get these cats into

726
00:46:05,840 --> 00:46:08,400
Speaker 1: a shelter. But then it just goes to the cat cafe.

727
00:46:09,200 --> 00:46:12,840
Speaker 1: But the toxoplasmosis you probably get at the cat cafe

728
00:46:13,360 --> 00:46:17,440
Speaker 1: just feeds their bottom line because toxoplasmos is gandha I,

729
00:46:17,840 --> 00:46:20,320
Speaker 1: at least in rats, has been shown to make rats

730
00:46:20,360 --> 00:46:23,600
Speaker 1: attracted to cats. We don't know if that happens in humans,

731
00:46:23,640 --> 00:46:26,000
Speaker 1: but if it does, then there you go. It's like,

732
00:46:26,120 --> 00:46:29,640
Speaker 1: you know, yet they should probably make the first taste

733
00:46:29,640 --> 00:46:32,080
Speaker 1: of the cat cafe free then, so you get addicted

734
00:46:32,080 --> 00:46:37,120
Speaker 1: to cats by huff and their toxoplasmos is GANDHIA. Yeah,

735
00:46:37,160 --> 00:46:40,440
Speaker 1: I mean I probably have it because while I'm not

736
00:46:40,560 --> 00:46:43,840
Speaker 1: like attract dead two cats, I sure do like cats.

737
00:46:45,320 --> 00:46:48,560
Speaker 1: It's good you, I sure do think I sure do

738
00:46:48,640 --> 00:46:53,600
Speaker 1: think they're great. But yeah, so the most important difference

739
00:46:53,600 --> 00:46:56,439
Speaker 1: between the cat cafe and like house cats who lived

740
00:46:56,480 --> 00:46:59,200
Speaker 1: together with other cats is that in cat cafes, people

741
00:46:59,239 --> 00:47:02,480
Speaker 1: don't really use the cat's names that much. They don't

742
00:47:02,520 --> 00:47:05,160
Speaker 1: like call them by their names because it's like you're

743
00:47:05,160 --> 00:47:07,920
Speaker 1: having a chance encounter with a cat at a cat cafe.

744
00:47:08,000 --> 00:47:10,520
Speaker 1: You you like, you know, pet the cat, you interact

745
00:47:10,520 --> 00:47:13,440
Speaker 1: with cat, but they're not using their names constantly and

746
00:47:13,480 --> 00:47:18,720
Speaker 1: consistently like the house cats. So they had the study

747
00:47:18,760 --> 00:47:21,120
Speaker 1: set up where they would take these cats from these

748
00:47:21,160 --> 00:47:25,759
Speaker 1: two different groups and show them basically, like uh, an

749
00:47:25,800 --> 00:47:28,320
Speaker 1: image of a cat and then have like an audio

750
00:47:28,360 --> 00:47:31,920
Speaker 1: recording of a cat's name, and sometimes it would be

751
00:47:32,000 --> 00:47:35,560
Speaker 1: like the name of one of their companion cats and

752
00:47:35,600 --> 00:47:38,200
Speaker 1: then an image of that companion cat, so you know,

753
00:47:38,440 --> 00:47:41,360
Speaker 1: totally expected, or it would be the name of a

754
00:47:41,400 --> 00:47:45,600
Speaker 1: companion cat and then an image of a completely unrelated cat.

755
00:47:46,360 --> 00:47:50,800
Speaker 1: And what they found is that for the cat cafe cats,

756
00:47:51,040 --> 00:47:55,920
Speaker 1: they didn't really seem uh to care that much. They

757
00:47:55,960 --> 00:48:01,879
Speaker 1: didn't seem to gaze more at the incongruo uh name

758
00:48:02,080 --> 00:48:05,960
Speaker 1: versus picture, whereas with the house cats by a few seconds,

759
00:48:06,560 --> 00:48:10,719
Speaker 1: they stared a little longer at the images where it

760
00:48:10,800 --> 00:48:13,120
Speaker 1: was like the name of one of their companions, but

761
00:48:13,200 --> 00:48:17,359
Speaker 1: it was a picture of a stranger cat. So the

762
00:48:17,400 --> 00:48:19,839
Speaker 1: idea being that maybe these cats are going like, wait,

763
00:48:19,880 --> 00:48:26,160
Speaker 1: what that's not frank, Yeah, who excuse me? What's going

764
00:48:26,200 --> 00:48:28,160
Speaker 1: on there? Yeah, And it is funny because cat cafe

765
00:48:28,200 --> 00:48:32,000
Speaker 1: has more party vibes, yes, whereas cats in a home

766
00:48:32,120 --> 00:48:34,279
Speaker 1: have more like in the home vibes, you know, yeah,

767
00:48:34,320 --> 00:48:37,600
Speaker 1: homie vibes. But like, yeah, with a cat cafe, it's

768
00:48:37,640 --> 00:48:40,400
Speaker 1: just like you're at a rave. It's probably a carave

769
00:48:40,440 --> 00:48:42,839
Speaker 1: because I'm sure they're passing around a lot of cat nep.

770
00:48:43,560 --> 00:48:46,480
Speaker 1: You know, honestly, got to talk to your cat about

771
00:48:46,520 --> 00:48:49,160
Speaker 1: these these kind of party situations, Like I'm not saying,

772
00:48:49,200 --> 00:48:52,000
Speaker 1: don't know how great they are. Yeah, yeah, but you know,

773
00:48:52,280 --> 00:48:55,600
Speaker 1: like catnip responsibly, you know what I mean? Oh yeah,

774
00:48:55,719 --> 00:48:58,879
Speaker 1: nip nip nip nippet in the bud cat nip responsibly.

775
00:48:59,200 --> 00:49:02,360
Speaker 1: That would totally be an anti drug campaign for cats.

776
00:49:03,440 --> 00:49:07,440
Speaker 1: Side question for you, Ye, favorite cat names that you've

777
00:49:07,440 --> 00:49:10,520
Speaker 1: had for your cats? Go? I mean, I've only had

778
00:49:10,560 --> 00:49:14,000
Speaker 1: two cats, and it was Mittens and Binkie. Okay, those

779
00:49:14,000 --> 00:49:17,359
Speaker 1: are good. That's Mitten's solid cat name. Yeah. I mean.

780
00:49:17,560 --> 00:49:19,520
Speaker 1: The thing is, it's hard for me to pick a

781
00:49:19,560 --> 00:49:22,480
Speaker 1: favorite name because I loved them both and so associate

782
00:49:22,520 --> 00:49:26,399
Speaker 1: their names with them. What I did like was that

783
00:49:26,480 --> 00:49:31,240
Speaker 1: the names inadvertently kind of suited their personality. So Mittens

784
00:49:31,440 --> 00:49:36,200
Speaker 1: was this very posh, very prim and proper cat. Binky

785
00:49:36,760 --> 00:49:43,399
Speaker 1: was stupid and um, you know, I love an idiot cat.

786
00:49:43,640 --> 00:49:48,440
Speaker 1: It's very dumb, very dumb, very like almost like Quasi Ferrell.

787
00:49:48,920 --> 00:49:51,120
Speaker 1: It felt like their names were kind of meant to

788
00:49:51,160 --> 00:49:54,840
Speaker 1: be Mittens that's sort of a civilized names, whereas Binky

789
00:49:55,360 --> 00:49:58,600
Speaker 1: had a frenetic energy the name did, and Pinky was

790
00:49:58,640 --> 00:50:03,960
Speaker 1: cross eyed. Nobody would be surprised he wasn't. But he

791
00:50:04,040 --> 00:50:07,760
Speaker 1: would sometimes poop in his litter box and get really scared.

792
00:50:07,920 --> 00:50:10,440
Speaker 1: I think of what was happening with the poop, and

793
00:50:10,480 --> 00:50:13,360
Speaker 1: then run out of the litter box, scattering poop everywhere.

794
00:50:14,840 --> 00:50:20,560
Speaker 1: Oh pinky bank bank. Oh he was a sweet He

795
00:50:20,640 --> 00:50:23,600
Speaker 1: was dumb, but very very sweet. We had my my

796
00:50:23,800 --> 00:50:27,080
Speaker 1: X and I rescued some cats, um like, not rescued

797
00:50:27,120 --> 00:50:30,120
Speaker 1: from a thing, but literally off the street. And uh

798
00:50:30,840 --> 00:50:37,480
Speaker 1: we had burning building from an unabandoned building. We had

799
00:50:37,520 --> 00:50:41,799
Speaker 1: Cat Jeff and she was like the smart bully. And

800
00:50:41,840 --> 00:50:44,560
Speaker 1: then we had Pants and Pants was a sweet idiot.

801
00:50:45,239 --> 00:50:48,400
Speaker 1: Pants didn't have a tail. Pants was tail less. And

802
00:50:48,719 --> 00:50:51,319
Speaker 1: that's why her name was pants. Pants does sound like

803
00:50:51,320 --> 00:50:54,279
Speaker 1: a sweet idiot name, doesn't it right? It's it was

804
00:50:54,400 --> 00:50:57,040
Speaker 1: like the names hit so perfectly. She was very sweet,

805
00:50:57,080 --> 00:51:00,600
Speaker 1: and then Cat Jeff was just this mean bully. Uh,

806
00:51:00,640 --> 00:51:04,080
Speaker 1: and you know it was it was funny way because

807
00:51:04,080 --> 00:51:05,719
Speaker 1: we had you know, when we broke up, I was like,

808
00:51:05,760 --> 00:51:07,359
Speaker 1: you know, you can change the name of the cat.

809
00:51:07,440 --> 00:51:09,319
Speaker 1: I know you probably don't want to keep saying my

810
00:51:09,480 --> 00:51:12,719
Speaker 1: name in this situation. And she's like, her name is

811
00:51:12,760 --> 00:51:16,400
Speaker 1: cat Jeff. Yeah, that's not changing, And I was like, okay,

812
00:51:17,320 --> 00:51:19,120
Speaker 1: that's a good name for a girl. Cat to cat

813
00:51:19,239 --> 00:51:21,960
Speaker 1: Jeff cat Jeff, Yeah no, no, it's it's a rolls

814
00:51:22,080 --> 00:51:24,360
Speaker 1: right off the tongue. Makes me think of that famous

815
00:51:24,400 --> 00:51:29,080
Speaker 1: Internet cat, George, Uh, you know George and Gene George, Yeah,

816
00:51:29,120 --> 00:51:31,680
Speaker 1: Gen and George and George. Gina is the smart cat,

817
00:51:31,719 --> 00:51:35,160
Speaker 1: and then George's is, you know, unsurprisingly, kind of the

818
00:51:35,239 --> 00:51:38,359
Speaker 1: dumb one. We love George. We love George. Though he

819
00:51:38,400 --> 00:51:41,760
Speaker 1: can't open doors, he's on Twitter, he can't really open doors.

820
00:51:41,800 --> 00:51:45,000
Speaker 1: But he's you know, pro unionization, So there you go. Yeah,

821
00:51:45,040 --> 00:51:49,000
Speaker 1: he's progressive. It's progressive, a progressive cat. So before we go,

822
00:51:49,200 --> 00:51:52,239
Speaker 1: I well, actually two things. One I want to there's

823
00:51:52,280 --> 00:51:54,239
Speaker 1: a quick news story that I had to share with you.

824
00:51:55,280 --> 00:52:00,319
Speaker 1: A cougar accidentally went into a school and was safely

825
00:52:00,360 --> 00:52:04,839
Speaker 1: rescued from having to learn English in Pescadero, California. So

826
00:52:05,200 --> 00:52:09,440
Speaker 1: a juvenile mountain lion accidentally wandered into a high school,

827
00:52:10,160 --> 00:52:15,480
Speaker 1: went into a mostly empty campus, went into an English classroom,

828
00:52:15,600 --> 00:52:19,400
Speaker 1: and the the custodian that was there like saw this

829
00:52:19,520 --> 00:52:22,480
Speaker 1: like mountain lion like in the English classroom and was

830
00:52:22,560 --> 00:52:28,239
Speaker 1: just like okay and closed the door. And custodians are

831
00:52:28,280 --> 00:52:31,920
Speaker 1: just so badass, and they're they're they're so like that

832
00:52:31,960 --> 00:52:35,800
Speaker 1: needs to be a way higher on the respect level

833
00:52:36,120 --> 00:52:40,600
Speaker 1: piece of employment. It deserves so much more respect. I mean,

834
00:52:40,960 --> 00:52:45,120
Speaker 1: they just even when you're not dealing with mountain lions,

835
00:52:45,200 --> 00:52:48,239
Speaker 1: there's so much that comes with the responsibility of a custodian.

836
00:52:48,239 --> 00:52:51,440
Speaker 1: You were literally behind the scenes making sure that school

837
00:52:51,719 --> 00:52:57,600
Speaker 1: is running and functioning. H But yeah, so this this,

838
00:52:57,880 --> 00:53:01,839
Speaker 1: uh they called uh you know, yees animal Control who

839
00:53:01,920 --> 00:53:05,480
Speaker 1: came and rescued the cougar from having to learn in English.

840
00:53:05,640 --> 00:53:11,319
Speaker 1: So I'd say that's a win. Good job, cougar. Uh.

841
00:53:11,360 --> 00:53:14,920
Speaker 1: So the last last last thing before we go is

842
00:53:15,080 --> 00:53:19,439
Speaker 1: our mystery animal sound game Guess who's squawking? Every week

843
00:53:19,480 --> 00:53:22,240
Speaker 1: I play a mry animal sound and you, the listener,

844
00:53:22,320 --> 00:53:27,520
Speaker 1: gifts who is making that sound? So last week's hint

845
00:53:27,920 --> 00:53:30,080
Speaker 1: was it's a bird from the book Around the World

846
00:53:30,080 --> 00:53:33,840
Speaker 1: in Eadie Birds by Mike Unwin, who was my guests

847
00:53:33,880 --> 00:53:37,000
Speaker 1: that week, and Mike kindly did a bird call and

848
00:53:37,080 --> 00:53:52,440
Speaker 1: made me guests. So here's his bird call again. Um,

849
00:53:52,480 --> 00:54:05,680
Speaker 1: and then here is the bird's actual call that sounds

850
00:54:05,760 --> 00:54:09,759
Speaker 1: kind of like a like a car alarm, doesn't I

851
00:54:11,560 --> 00:54:14,080
Speaker 1: It sounded like at first two people, like someone smacking

852
00:54:14,120 --> 00:54:17,600
Speaker 1: blocks of wood together. Um. My favorite thing about hearing

853
00:54:17,600 --> 00:54:20,720
Speaker 1: these calls is that everyone we hear is just something

854
00:54:20,800 --> 00:54:24,319
Speaker 1: trying to have sex. That that is so funny to

855
00:54:24,360 --> 00:54:26,960
Speaker 1: me that we're like, check out this beautiful call and

856
00:54:26,960 --> 00:54:30,560
Speaker 1: then you're like that it's trying to mate. Yep, pretty much,

857
00:54:30,560 --> 00:54:32,040
Speaker 1: and now we're putting it out. It would be like

858
00:54:32,320 --> 00:54:34,879
Speaker 1: it would be like if aliens had videos of of

859
00:54:34,920 --> 00:54:38,040
Speaker 1: like drunk people at bars trying to hook up, and

860
00:54:38,080 --> 00:54:40,560
Speaker 1: they're like, here's the call of the North American man.

861
00:54:41,120 --> 00:54:46,160
Speaker 1: You up, you up? You up? Yeah? Just just just

862
00:54:46,200 --> 00:54:55,480
Speaker 1: writing beautiful on Instagram photos the hallway gorgeous, gorgeous, beautiful queen, gorgeous. Yes,

863
00:54:55,760 --> 00:55:00,720
Speaker 1: so U congratulations to Jared, m ariy L and Robert

864
00:55:00,960 --> 00:55:03,920
Speaker 1: S who all correctly guess that this is the purple

865
00:55:04,080 --> 00:55:10,080
Speaker 1: crested Torocco. So this is an amazing bird. It is vibrant, purple,

866
00:55:10,239 --> 00:55:13,960
Speaker 1: green and red. It's a frugivore. It eats fruits and

867
00:55:14,000 --> 00:55:17,720
Speaker 1: it is the national bird of Swatini because it eats

868
00:55:17,719 --> 00:55:21,000
Speaker 1: fruits and it throws up the seeds which helps spread

869
00:55:21,040 --> 00:55:25,160
Speaker 1: the seeds for germination. So very important. Beautiful bird. What

870
00:55:25,280 --> 00:55:29,840
Speaker 1: a what a weird existence for a bird. And I

871
00:55:29,880 --> 00:55:33,080
Speaker 1: appreciate it because like I picture like a small bird

872
00:55:33,200 --> 00:55:38,760
Speaker 1: swallowing like whole pears and then just like immediately regretting

873
00:55:38,800 --> 00:55:41,719
Speaker 1: it and having to vomit out the seeds. This is

874
00:55:41,760 --> 00:55:44,840
Speaker 1: just like a whole cause and effect system. It's actually

875
00:55:44,880 --> 00:55:47,480
Speaker 1: not that small of a bird. It's sort of a

876
00:55:47,520 --> 00:55:49,960
Speaker 1: medium to large size bird. It's like not it's like

877
00:55:50,719 --> 00:55:53,880
Speaker 1: I think it's it's nine ft tall. It's about chicken sized.

878
00:55:53,920 --> 00:55:58,839
Speaker 1: I would say maybe not nine ft mm hmm um.

879
00:55:58,880 --> 00:56:02,960
Speaker 1: So onto this week's mystery animals sound. The hint is

880
00:56:03,480 --> 00:56:06,600
Speaker 1: why the long face panda? Wait a minute, you're not

881
00:56:06,719 --> 00:56:22,840
Speaker 1: a panda, So, Jeff, you got any guesses? Uh? Yes,

882
00:56:23,080 --> 00:56:26,880
Speaker 1: is it a panda holding a balloon and pulling in

883
00:56:26,960 --> 00:56:29,239
Speaker 1: the air out of the mouth. I do have a

884
00:56:29,400 --> 00:56:32,840
Speaker 1: I have a guess, but it sounds is it a

885
00:56:32,880 --> 00:56:36,120
Speaker 1: red panda? Or is that too easy? I mean, I

886
00:56:36,600 --> 00:56:41,000
Speaker 1: can't answer that because fair enough, you won't know until

887
00:56:41,040 --> 00:56:45,520
Speaker 1: next Wednesday when I answer this week's I Guess Who's squawking,

888
00:56:45,640 --> 00:56:48,160
Speaker 1: which by that point will be last week's guess Who's squawking?

889
00:56:48,840 --> 00:56:53,240
Speaker 1: But you know, very very good guess, valiant, valiant guess,

890
00:56:53,400 --> 00:56:55,759
Speaker 1: you'll have to wait a whole week, just like everyone else.

891
00:56:55,840 --> 00:56:58,360
Speaker 1: I definitely won't just tell you after we're done recording.

892
00:56:58,920 --> 00:57:01,319
Speaker 1: But hey, Jeff, thank you so much for coming on

893
00:57:01,400 --> 00:57:04,880
Speaker 1: today and for talking to me about kitty cats and

894
00:57:04,920 --> 00:57:09,960
Speaker 1: sometimes not kitty cat. I love it, honestly, Like, here's

895
00:57:10,000 --> 00:57:14,240
Speaker 1: the thing is, I love animals. I adore Katie Golden.

896
00:57:14,960 --> 00:57:18,120
Speaker 1: Anytime I can mix those two things together is a

897
00:57:18,120 --> 00:57:19,880
Speaker 1: great experience. And I'm glad. I got to say. I

898
00:57:19,920 --> 00:57:24,520
Speaker 1: haven't seen you since you you moved, so technically I'm

899
00:57:24,520 --> 00:57:27,080
Speaker 1: seeing you, and I hope it's good, and I hope

900
00:57:27,080 --> 00:57:30,480
Speaker 1: there are so many wonderful Italian animals that you are

901
00:57:30,600 --> 00:57:34,240
Speaker 1: are getting acclimated to. There are common swifts right now,

902
00:57:34,320 --> 00:57:38,880
Speaker 1: which are these wonderful birds who scream constantly. So yes,

903
00:57:40,160 --> 00:57:45,160
Speaker 1: I love that and they're like a pretty much pretty

904
00:57:45,240 --> 00:57:48,720
Speaker 1: much the No, it was a blast coming on. I

905
00:57:48,760 --> 00:57:51,800
Speaker 1: really do love it. And uh, you know, podcasting is

906
00:57:51,800 --> 00:57:55,960
Speaker 1: is fun. It is fun. We talk because we talk

907
00:57:56,040 --> 00:57:58,880
Speaker 1: about stuff and then you guys listen and we just

908
00:57:58,960 --> 00:58:02,280
Speaker 1: like sit and your ears and we whisper secrets to you.

909
00:58:02,520 --> 00:58:05,840
Speaker 1: And that's how it works. So many secrets, so many secrets,

910
00:58:05,880 --> 00:58:09,640
Speaker 1: sometimes about Batman, sometimes about birds. Yeah, well, just speaking

911
00:58:09,680 --> 00:58:12,960
Speaker 1: of Batman, where can people find you? Well, if you

912
00:58:12,960 --> 00:58:15,040
Speaker 1: want to find me on Instagram and Twitter at hey,

913
00:58:15,080 --> 00:58:17,720
Speaker 1: there Jeff Row if you want to listen to some

914
00:58:17,760 --> 00:58:19,720
Speaker 1: of my stuff I got I do. Of course, Tom

915
00:58:19,720 --> 00:58:22,280
Speaker 1: and Jeff watch Batman on the game Fully Unemployed Network

916
00:58:22,320 --> 00:58:24,760
Speaker 1: with uh, you know Tom Ryman, who I'm I'm sure

917
00:58:24,800 --> 00:58:26,920
Speaker 1: you're all very familiar with. You can check me out

918
00:58:26,960 --> 00:58:30,040
Speaker 1: on Popular Opinion and you Don't Even Like Sports both

919
00:58:30,040 --> 00:58:33,160
Speaker 1: on the un Popps Network with Adam Todd Brown. Uh,

920
00:58:33,200 --> 00:58:35,480
Speaker 1: you Don't Even Like Sports is a sports podcast for

921
00:58:35,520 --> 00:58:40,000
Speaker 1: people that hate sports, um, which is my entire fan base,

922
00:58:40,760 --> 00:58:43,440
Speaker 1: and uh, it's very nerdy. And then I have my

923
00:58:43,440 --> 00:58:46,520
Speaker 1: own show called Jeff Has Cool Friends, which is a

924
00:58:46,560 --> 00:58:48,880
Speaker 1: long form interview podcast and you can just google that

925
00:58:49,000 --> 00:58:50,360
Speaker 1: or if you want to go to patreon dot com.

926
00:58:50,360 --> 00:58:54,040
Speaker 1: Slash Jeff made for early access to uncensored episodes with

927
00:58:54,080 --> 00:58:56,720
Speaker 1: bonus content. Head on over there. Um, I got a

928
00:58:56,720 --> 00:58:58,840
Speaker 1: lot of cool stuff coming and um, if you want

929
00:58:58,840 --> 00:59:01,320
Speaker 1: to I was on an Flix game show that was

930
00:59:01,320 --> 00:59:03,960
Speaker 1: pretty neat. That's cool. So if you you want to

931
00:59:03,960 --> 00:59:07,800
Speaker 1: see me on Bulli on Netflix. Uh, they edited it

932
00:59:07,920 --> 00:59:09,760
Speaker 1: to make it look like I didn't win, but I

933
00:59:09,880 --> 00:59:14,520
Speaker 1: actually so that's pretty fun. Those fiends. I knew it.

934
00:59:14,640 --> 00:59:18,240
Speaker 1: I knew it the whole time. Well, you guys, it's fun.

935
00:59:18,280 --> 00:59:21,440
Speaker 1: It's fun. Well, if you think you know the answer

936
00:59:21,480 --> 00:59:23,160
Speaker 1: to this week's guess who squawking are you? I just

937
00:59:23,200 --> 00:59:25,400
Speaker 1: want to reach out and ask some questions. You can

938
00:59:25,440 --> 00:59:28,720
Speaker 1: email me at Creature Feature Pod at gmail dot com,

939
00:59:28,760 --> 00:59:31,280
Speaker 1: also on Twitter at Creature Feat Pod. That's f E

940
00:59:31,400 --> 00:59:33,800
Speaker 1: A T, not f E two. It's something very different.

941
00:59:34,280 --> 00:59:37,200
Speaker 1: Uh and hey, thank you too, Thank you so much

942
00:59:37,200 --> 00:59:39,560
Speaker 1: for listening. If you're enjoying the pod and you leave

943
00:59:39,600 --> 00:59:42,720
Speaker 1: a rating, I really really appreciate that. And if you

944
00:59:42,840 --> 00:59:46,160
Speaker 1: leave a review, I will read it, and again I

945
00:59:46,160 --> 00:59:49,000
Speaker 1: will really appreciate them. I I print them all out

946
00:59:49,280 --> 00:59:52,240
Speaker 1: and then just like sort of create a human being

947
00:59:52,240 --> 00:59:54,440
Speaker 1: out of them, like a paper mache person, and then

948
00:59:54,520 --> 00:59:58,560
Speaker 1: hug it. That's what I sharing. Sharing and reviewing is

949
00:59:58,680 --> 01:00:03,280
Speaker 1: so important, folks. Please, it is very important for the

950
01:00:03,320 --> 01:00:05,920
Speaker 1: algorithm and also for the paper mache man I'm building,

951
01:00:06,200 --> 01:00:08,800
Speaker 1: like I said, making a paper trainche man out of

952
01:00:08,800 --> 01:00:11,680
Speaker 1: the reviews that I'm printing out so I can hug him.

953
01:00:11,800 --> 01:00:15,720
Speaker 1: But he's missing a whole arms, So you know, if

954
01:00:15,760 --> 01:00:18,000
Speaker 1: you yeah, So if you want to be part of

955
01:00:18,000 --> 01:00:20,520
Speaker 1: the paper machine man I'm building out of reviews, do

956
01:00:20,680 --> 01:00:22,720
Speaker 1: leave a review and I will read it and love it.

957
01:00:22,760 --> 01:00:25,480
Speaker 1: Thank you, I really appreciate it. And hey, thanks to

958
01:00:25,560 --> 01:00:28,560
Speaker 1: the Space Classics for their super awesome song. Excel Alumina

959
01:00:28,680 --> 01:00:32,160
Speaker 1: Creature features of production of I Heart Radio. For more

960
01:00:32,200 --> 01:00:34,720
Speaker 1: podcasts like the one You Just Heard, visit the I

961
01:00:34,800 --> 01:00:37,520
Speaker 1: Heard Radio app Apple podcast or Hey guess what Marby

962
01:00:37,560 --> 01:00:40,440
Speaker 1: A listen to your parents shows, not your mom. I'm

963
01:00:40,440 --> 01:00:42,640
Speaker 1: not gonna tell you what to do. Whatever you want, look,

964
01:00:42,920 --> 01:00:47,640
Speaker 1: go wild, go nuts. See you next Wednesday. By