1 00:00:06,720 --> 00:00:10,600 Speaker 1: Welcome to Creature feature production of iHeartRadio. I'm your host 2 00:00:10,640 --> 00:00:15,920 Speaker 1: of Many Parasites, Katie Golden. I studied psychology and evolutionary biology, 3 00:00:15,960 --> 00:00:20,040 Speaker 1: and today on the show Dogs Dogs Are Good from 4 00:00:20,200 --> 00:00:24,280 Speaker 1: rare dog hybrids to dogs saving the world. Discover this 5 00:00:24,400 --> 00:00:27,360 Speaker 1: more as we answer the age old question, wo Yo 6 00:00:27,440 --> 00:00:29,000 Speaker 1: go radio active boy? 7 00:00:29,440 --> 00:00:30,000 Speaker 2: Who Yo go? 8 00:00:30,280 --> 00:00:34,800 Speaker 1: Radio active Boy? Joining me today is friend of the show, 9 00:00:35,200 --> 00:00:40,680 Speaker 1: dog appreciator and host of the podcast, Joses Racist Andrew T. Welcome. 10 00:00:41,560 --> 00:00:46,000 Speaker 2: Hello, How's it going pretty good? Who Let the Dogs Out? 11 00:00:46,040 --> 00:00:46,440 Speaker 2: It was me? 12 00:00:46,640 --> 00:00:49,520 Speaker 3: I just we just walked. Wow, I took my dog 13 00:00:49,600 --> 00:00:50,880 Speaker 3: out and now she's back. 14 00:00:51,159 --> 00:00:54,320 Speaker 1: Yeah. Man, I remember that song that was such a 15 00:00:54,400 --> 00:00:55,560 Speaker 1: that was such a song. 16 00:00:56,360 --> 00:00:58,120 Speaker 2: Such as the perfect song. 17 00:00:58,600 --> 00:01:02,760 Speaker 1: It was the perfect song we hit. We reached peak 18 00:01:02,920 --> 00:01:06,000 Speaker 1: musicality with that song, and we've never flown so close 19 00:01:06,040 --> 00:01:07,839 Speaker 1: to the sun before or since. 20 00:01:07,840 --> 00:01:11,520 Speaker 3: I found out recently that the band behind Who Let 21 00:01:11,600 --> 00:01:14,160 Speaker 3: the Dogs Out? Let's see, that song came out in 22 00:01:14,160 --> 00:01:17,039 Speaker 3: two thousand. They had been a band for like over 23 00:01:17,240 --> 00:01:19,399 Speaker 3: a decade, I believe before that song came out. 24 00:01:19,440 --> 00:01:23,360 Speaker 1: Wow, you know, sometimes it takes takes a while. Give up, 25 00:01:23,560 --> 00:01:24,200 Speaker 1: Never give up. 26 00:01:24,240 --> 00:01:27,080 Speaker 2: God, twenty years they've been a band for over twenty years. 27 00:01:27,160 --> 00:01:30,200 Speaker 1: Sometimes it takes twenty years to get reached that perfect 28 00:01:30,880 --> 00:01:35,840 Speaker 1: peak song about letting dogs out? Never forget and asking 29 00:01:35,880 --> 00:01:37,679 Speaker 1: why did we ever find out? Who did it? 30 00:01:37,720 --> 00:01:37,920 Speaker 3: Though? 31 00:01:38,040 --> 00:01:41,800 Speaker 1: Because like, uh, that was the main question and I 32 00:01:41,800 --> 00:01:43,800 Speaker 1: don't know if that's ever been answered. Did they do 33 00:01:43,880 --> 00:01:48,200 Speaker 1: a follow up song of Well, turns out it was Steve. 34 00:01:49,680 --> 00:01:58,040 Speaker 3: Me see, I'm gonna guess who let the dog? They 35 00:01:58,080 --> 00:01:59,160 Speaker 3: had to have, right. 36 00:01:59,680 --> 00:02:02,320 Speaker 1: Yeah, oh no, they never answered the question. 37 00:02:02,640 --> 00:02:02,840 Speaker 2: Wow. 38 00:02:03,360 --> 00:02:07,880 Speaker 3: Yeah, well, at least the albums are not dog like. 39 00:02:08,040 --> 00:02:10,200 Speaker 3: Subsequent to Who Let the Dogs Out, The rest of 40 00:02:10,240 --> 00:02:12,520 Speaker 3: the albums and song titles do not appear to be 41 00:02:13,280 --> 00:02:14,920 Speaker 3: more dog stuff. 42 00:02:15,440 --> 00:02:17,720 Speaker 1: Yeah, it's just they just which is. 43 00:02:17,720 --> 00:02:19,600 Speaker 2: Which makes sense because they're they're artists. 44 00:02:19,639 --> 00:02:22,440 Speaker 3: This is just one in one in Who Let the 45 00:02:22,440 --> 00:02:27,720 Speaker 3: Dogs Out was their Bahaman Brother one, two, three, four, five, six, 46 00:02:27,800 --> 00:02:34,200 Speaker 3: seven eighth album. 47 00:02:31,560 --> 00:02:33,880 Speaker 1: It's dog Lightning in a Bottle. 48 00:02:33,919 --> 00:02:38,000 Speaker 2: I guess yeah, fucking just just keep at it. 49 00:02:38,360 --> 00:02:42,399 Speaker 3: Yeah, if you don't don't succeed, just try seven more albums. 50 00:02:42,600 --> 00:02:44,480 Speaker 1: Yes, exactly, Well. 51 00:02:44,320 --> 00:02:45,760 Speaker 2: Then you will succeed. 52 00:02:46,040 --> 00:02:51,639 Speaker 1: Yeah. No, it's a promise. You can sue Andrew if 53 00:02:51,680 --> 00:02:56,079 Speaker 1: you don't succeed after that amount of time. So speaking 54 00:02:56,280 --> 00:03:01,720 Speaker 1: of lightning in a bottle, we are talking about something 55 00:03:01,760 --> 00:03:07,040 Speaker 1: that is a very rare event and it is super weird. 56 00:03:07,200 --> 00:03:12,120 Speaker 1: It is the first ever fox dog hybrid, which seems 57 00:03:12,120 --> 00:03:17,160 Speaker 1: to have been discovered in Brazil. So they are calling 58 00:03:17,240 --> 00:03:23,000 Speaker 1: her dog sim I'm probably not pronouncing that correctly. She's 59 00:03:23,040 --> 00:03:29,200 Speaker 1: apparently a cross breed of domesticated dog and wild Pampis fox. 60 00:03:29,840 --> 00:03:34,800 Speaker 1: Called again, I apologize. I'm gonna say this bad and 61 00:03:34,840 --> 00:03:39,120 Speaker 1: wrong grass same do campo in Portuguese. 62 00:03:39,720 --> 00:03:40,720 Speaker 3: So uh. 63 00:03:41,840 --> 00:03:47,080 Speaker 1: She was found in Vicaria in Rio Grande do sulstat 64 00:03:47,920 --> 00:03:49,560 Speaker 1: after being hit by a car. 65 00:03:50,640 --> 00:03:51,320 Speaker 2: She was alive. 66 00:03:51,400 --> 00:03:54,640 Speaker 1: She was taken to the vet where they thought, okay, 67 00:03:54,920 --> 00:03:58,960 Speaker 1: she looks kind of weird for a dog, and she's 68 00:03:58,960 --> 00:04:03,840 Speaker 1: definitely not a fox, but she's not acting like a 69 00:04:03,880 --> 00:04:06,680 Speaker 1: dog in terms of her behavior. She doesn't looked like 70 00:04:06,680 --> 00:04:13,760 Speaker 1: a dog. So researchers from the Federal University of Politus 71 00:04:13,800 --> 00:04:18,839 Speaker 1: and the Federal University of Rio Grande do Sul conducted 72 00:04:18,920 --> 00:04:24,040 Speaker 1: genetic tests and they found this link to the Pampas fox, 73 00:04:24,160 --> 00:04:25,920 Speaker 1: which is nuts. 74 00:04:26,360 --> 00:04:29,440 Speaker 2: That's so wild, is it? Okay? 75 00:04:29,839 --> 00:04:35,240 Speaker 3: Is this a thing where it's like definitely clear that 76 00:04:35,520 --> 00:04:37,919 Speaker 3: this is a hybrid or is it that sort of 77 00:04:37,960 --> 00:04:43,960 Speaker 3: thing where like because I have you know, and I'm 78 00:04:43,960 --> 00:04:46,599 Speaker 3: sure these companies make all kinds of ludicrous claims, but 79 00:04:46,760 --> 00:04:49,719 Speaker 3: like you know people that get twenty three in me 80 00:04:49,800 --> 00:04:52,680 Speaker 3: and they're like, well you have this much Neanderthal DNA 81 00:04:52,839 --> 00:04:55,920 Speaker 3: or whatever, like you know, like that sort. 82 00:04:55,720 --> 00:05:01,719 Speaker 1: Of yeah, like that like far back of yeah. No, no, 83 00:05:01,839 --> 00:05:05,960 Speaker 1: So I mean, first of all, the Pampas fox would 84 00:05:05,960 --> 00:05:09,280 Speaker 1: not at all be like a dog ancestor or vice versa, 85 00:05:09,680 --> 00:05:12,600 Speaker 1: which is why this is so strange. But yeah, in 86 00:05:12,720 --> 00:05:17,400 Speaker 1: terms of it being a hybrid, the investigation into its 87 00:05:17,480 --> 00:05:20,640 Speaker 1: DNA does seem to indicate that it's a recent hybrid. 88 00:05:20,760 --> 00:05:25,359 Speaker 1: So this dog sim, which is I guess they just 89 00:05:25,440 --> 00:05:31,680 Speaker 1: named this gal dog sim. She has seventy six chromosomes 90 00:05:31,680 --> 00:05:35,440 Speaker 1: instead of seventy eight like typical dogs, and her mitochondrial 91 00:05:35,520 --> 00:05:39,520 Speaker 1: DNA seems to be Pampis fox, which would mean her 92 00:05:39,560 --> 00:05:44,600 Speaker 1: mother was a Pampis fox and found in her. They 93 00:05:44,600 --> 00:05:48,320 Speaker 1: found in her nuclear DNA a mixture of dog and 94 00:05:48,480 --> 00:05:52,559 Speaker 1: Pampas fox genes, which means that her father was likely 95 00:05:52,640 --> 00:05:57,320 Speaker 1: a domesticated dog. So you know, she was treated for 96 00:05:57,480 --> 00:06:00,440 Speaker 1: her wounds. They did these blood tests on her, and 97 00:06:01,040 --> 00:06:05,720 Speaker 1: she was taken to a wildlife preserve. So it's it is, 98 00:06:06,600 --> 00:06:08,800 Speaker 1: this is a very rare thing. It's not like there's 99 00:06:08,800 --> 00:06:14,960 Speaker 1: a bunch of dog pampis fox hybrids walking around now. 100 00:06:15,839 --> 00:06:19,239 Speaker 1: This occurred in twenty twenty one, and sadly, in March 101 00:06:19,279 --> 00:06:24,039 Speaker 1: of twenty twenty three, she died of unknown causes. There's 102 00:06:24,080 --> 00:06:27,440 Speaker 1: actually an investigation into her death, but I think that 103 00:06:27,560 --> 00:06:30,680 Speaker 1: the most likely thing is that when you have a 104 00:06:30,720 --> 00:06:35,680 Speaker 1: really rare hybrid, that genetic mix can cause a lot 105 00:06:35,680 --> 00:06:40,320 Speaker 1: of genetic diseases problems, So there was probably some underlying 106 00:06:40,360 --> 00:06:44,880 Speaker 1: health issue that she had that she probably naturally died of. 107 00:06:46,000 --> 00:06:48,800 Speaker 1: But if this analysis is correct and this is truly 108 00:06:48,960 --> 00:06:53,360 Speaker 1: a dog pampas fox hybrid, it is really really remarkable. 109 00:06:53,440 --> 00:06:56,920 Speaker 1: This is like a much bigger deal than like a 110 00:06:57,040 --> 00:07:00,520 Speaker 1: dog wolf hybrid or a zebra horse hybrid, which are both, 111 00:07:00,600 --> 00:07:05,000 Speaker 1: you know, real hybrids that happen. A domesticated dog in 112 00:07:05,040 --> 00:07:10,040 Speaker 1: a pampas fox are in the same family, but ancestors 113 00:07:10,080 --> 00:07:13,080 Speaker 1: of the dog and the pampas fox diverged at least 114 00:07:13,360 --> 00:07:18,640 Speaker 1: six million years ago into two separate groups. So dogs 115 00:07:18,680 --> 00:07:21,680 Speaker 1: like our domesticated dogs like your dog Peanut and my 116 00:07:21,800 --> 00:07:27,280 Speaker 1: dog Cookie are in the genus Canus, and pampas foxes 117 00:07:27,440 --> 00:07:32,000 Speaker 1: are in this genus that's called like Kaloplex. So the 118 00:07:32,080 --> 00:07:35,920 Speaker 1: pampas fox, despite being called a fox, is not actually 119 00:07:36,480 --> 00:07:38,720 Speaker 1: what we think of when we think of like the 120 00:07:38,760 --> 00:07:42,360 Speaker 1: typical red fox. So the red fox is in the 121 00:07:42,440 --> 00:07:46,800 Speaker 1: Vulpes genus, but this pampas fox is not a quote 122 00:07:46,880 --> 00:07:50,800 Speaker 1: unquote true fox. It's in a genus with other South 123 00:07:50,840 --> 00:07:56,960 Speaker 1: American quote unquote foxes called like Kaloplex. So the genus 124 00:07:57,040 --> 00:08:02,640 Speaker 1: Canus that includes you know, our our dog also contains coyotes, jackals, wolves, 125 00:08:03,280 --> 00:08:09,160 Speaker 1: and so hybridization between say wolves and dogs or coyotes 126 00:08:09,200 --> 00:08:12,480 Speaker 1: and wolves like koi wolves. You know, these are things that, 127 00:08:13,280 --> 00:08:15,960 Speaker 1: while somewhat rare, you know, it kind of makes sense 128 00:08:16,000 --> 00:08:18,560 Speaker 1: that it happens because they're in the same family. But 129 00:08:19,120 --> 00:08:22,360 Speaker 1: having this dog and this pampas fox being able to 130 00:08:22,440 --> 00:08:27,920 Speaker 1: hybridize after being separated by many millions of years in 131 00:08:28,040 --> 00:08:35,800 Speaker 1: evolution in two distinct genre genuses. Whereas like common hybrids 132 00:08:35,840 --> 00:08:39,880 Speaker 1: like zebras and horses, coyotes, wolves, tigers, lions, grizzly bears, 133 00:08:40,000 --> 00:08:46,319 Speaker 1: polar bears are all within the same genus. It's really weird. 134 00:08:46,440 --> 00:08:49,160 Speaker 1: It's a super weird thing that they've found here. 135 00:08:50,280 --> 00:08:52,240 Speaker 2: Oh yeah, yeah. 136 00:08:52,320 --> 00:08:56,360 Speaker 3: Does that call into question the like the taxonomy that 137 00:08:56,400 --> 00:09:01,240 Speaker 3: they had done, or just like it's just weird. 138 00:09:01,840 --> 00:09:06,240 Speaker 1: I mean, that's that's not a bad question. Like I 139 00:09:06,280 --> 00:09:10,319 Speaker 1: think that it could lead to some investigation in terms 140 00:09:10,320 --> 00:09:18,319 Speaker 1: of the relatedness of this like kloplex genus and canus, 141 00:09:18,600 --> 00:09:22,120 Speaker 1: but you know, it could also just be a really 142 00:09:22,240 --> 00:09:25,920 Speaker 1: rare weird occurrence. It could be also one of the 143 00:09:25,920 --> 00:09:30,640 Speaker 1: theories is that dogs and these pampas foxes are forced 144 00:09:30,679 --> 00:09:36,520 Speaker 1: into the same areas. More so, pampas foxes habitat being 145 00:09:37,000 --> 00:09:39,520 Speaker 1: encroached upon by human activity, meaning that they have to 146 00:09:39,520 --> 00:09:43,400 Speaker 1: get closer to dogs, and so there's more opportunities for 147 00:09:43,480 --> 00:09:47,280 Speaker 1: dog and pampas foxes to mate and so like, even 148 00:09:47,320 --> 00:09:49,840 Speaker 1: if you have like a point zero zero zero one 149 00:09:49,880 --> 00:09:53,800 Speaker 1: percent chance of this happening, if you have enough encounters, 150 00:09:53,840 --> 00:09:57,200 Speaker 1: I guess it could happen. But it is certainly very 151 00:09:57,320 --> 00:10:00,079 Speaker 1: very strange. 152 00:09:58,880 --> 00:10:00,760 Speaker 2: H But it's right. 153 00:10:00,920 --> 00:10:04,439 Speaker 3: I guess it's also like there's like biology isn't hard lines, 154 00:10:04,520 --> 00:10:07,679 Speaker 3: even though that's how we have to talk about it. Yeah, 155 00:10:07,720 --> 00:10:11,560 Speaker 3: but yeah, yeah, right, right, right, it's like, yeah, going 156 00:10:11,600 --> 00:10:12,520 Speaker 3: to happen much. 157 00:10:12,800 --> 00:10:16,360 Speaker 1: Yeah, very rarely. Is there really hardline in biology? There 158 00:10:16,440 --> 00:10:21,560 Speaker 1: is typically some exceptions In fact like this, this intergeneric 159 00:10:22,320 --> 00:10:28,199 Speaker 1: breeding is not completely unheard of. So sheep and goats 160 00:10:28,360 --> 00:10:35,040 Speaker 1: can actually produce jeeps or shots, so again very very rare. 161 00:10:35,679 --> 00:10:40,920 Speaker 1: But these are two species that are in different genre 162 00:10:41,440 --> 00:10:46,200 Speaker 1: and so even more rare though, which does very very 163 00:10:46,200 --> 00:10:51,840 Speaker 1: infrequently happen, are hybrids from different families of animals, So like, 164 00:10:52,400 --> 00:10:57,120 Speaker 1: you know, at least the dogs and pampas foxes are 165 00:10:57,160 --> 00:10:59,920 Speaker 1: in the same family, goats and sheep are in the 166 00:11:00,080 --> 00:11:04,679 Speaker 1: same family. Sometimes like animals that are in completely different 167 00:11:04,760 --> 00:11:09,800 Speaker 1: families just are able to hybridize, which is super weird. 168 00:11:10,800 --> 00:11:15,800 Speaker 1: This has been seen to happen in chickens and guinea fowl, 169 00:11:18,920 --> 00:11:23,040 Speaker 1: which is again super weird. Like typically they die before 170 00:11:23,040 --> 00:11:26,240 Speaker 1: being born, and even if they manage to hatch, they 171 00:11:26,600 --> 00:11:30,600 Speaker 1: will die young due to genetic problems. But it's just 172 00:11:30,800 --> 00:11:37,160 Speaker 1: it's just a it's something that I guess makes the 173 00:11:37,200 --> 00:11:41,960 Speaker 1: world feel kind of weird and small, because you know, 174 00:11:42,000 --> 00:11:44,440 Speaker 1: you have it's like, wait, completely different animals are not 175 00:11:44,440 --> 00:11:47,880 Speaker 1: supposed to be able to breed, but you know, if 176 00:11:47,880 --> 00:11:50,079 Speaker 1: they're lucky once in a while they can. 177 00:11:51,040 --> 00:11:52,240 Speaker 2: Yeah, well who else. 178 00:11:52,679 --> 00:11:55,160 Speaker 1: Yeah, I mean, it'd be like a human in a 179 00:11:55,400 --> 00:11:58,680 Speaker 1: chimpanzee being able to breed. It's like, you know, the 180 00:11:58,800 --> 00:12:02,560 Speaker 1: idea of it. It feels unholy, it feels like something 181 00:12:02,600 --> 00:12:07,400 Speaker 1: that should we should be smoked by some kind of 182 00:12:08,720 --> 00:12:12,800 Speaker 1: evolutionary god. But yeah, I mean it happens in animals. 183 00:12:13,160 --> 00:12:15,800 Speaker 1: I'm not saying we should try to make it happen. 184 00:12:15,920 --> 00:12:17,800 Speaker 1: I think that's a bad idea. 185 00:12:17,920 --> 00:12:21,800 Speaker 3: But yeah, but that's the one hybrid I do remember 186 00:12:21,920 --> 00:12:25,240 Speaker 3: from I assume biology class at somewhere is that it 187 00:12:25,320 --> 00:12:31,760 Speaker 3: is possible to make a human Z, which is probably pleasant. Yeah, 188 00:12:31,960 --> 00:12:34,000 Speaker 3: I mean, I think it's very unpleasant to think about. 189 00:12:34,120 --> 00:12:39,920 Speaker 1: It's theoretically possible, but I don't There has never been 190 00:12:40,280 --> 00:12:42,920 Speaker 1: a case, a real case of it. There was once 191 00:12:43,600 --> 00:12:46,840 Speaker 1: where it was like some chimpanzee that probably had some 192 00:12:46,960 --> 00:12:49,760 Speaker 1: kind of genetic abnormality and people are like, oh, maybe 193 00:12:49,760 --> 00:12:52,040 Speaker 1: that's a human Z. But no, it was not. 194 00:12:52,440 --> 00:12:56,520 Speaker 2: Oh okay, yeah, maybe I misremember. 195 00:12:56,800 --> 00:13:01,040 Speaker 1: I think there was like some very strange Russian scientist 196 00:13:01,360 --> 00:13:06,080 Speaker 1: during the Soviet era who is trying to create humans's 197 00:13:09,640 --> 00:13:14,839 Speaker 1: I do not think successfully, not successful, But yeah, look 198 00:13:14,880 --> 00:13:17,040 Speaker 1: at like, look at I have sent you some pictures 199 00:13:17,080 --> 00:13:19,880 Speaker 1: of this little this pampas fox dog hybrid. 200 00:13:20,200 --> 00:13:23,199 Speaker 3: Yeah, yeah, I love her. 201 00:13:23,559 --> 00:13:25,320 Speaker 2: Look at that, Like she's so cute. 202 00:13:25,440 --> 00:13:28,200 Speaker 1: She's got kind of a black and brown modeled coat, 203 00:13:28,440 --> 00:13:32,000 Speaker 1: and she's just got like a sort of pointier snoot, 204 00:13:32,120 --> 00:13:34,880 Speaker 1: I guess, a little bit more of a triangular face, 205 00:13:35,080 --> 00:13:38,520 Speaker 1: pointy ears. She does look like she could definitely just 206 00:13:38,559 --> 00:13:42,640 Speaker 1: be a strange sort of dog. But yeah, off, she's 207 00:13:42,640 --> 00:13:44,960 Speaker 1: at lenkier, a little bit off for a dog. 208 00:13:45,080 --> 00:13:47,920 Speaker 2: I guess that's true. Dogs are have such variation. Though 209 00:13:47,920 --> 00:13:48,960 Speaker 2: you know it's true. 210 00:13:49,520 --> 00:13:54,480 Speaker 3: I would not guess that this is a hybrid by 211 00:13:55,240 --> 00:13:56,080 Speaker 3: by any stretch. 212 00:13:56,080 --> 00:13:59,240 Speaker 2: I was like, I don't know just all kinds of dogs, so. 213 00:13:59,200 --> 00:14:01,120 Speaker 1: There could be I mean, there could be more of them, right, 214 00:14:01,240 --> 00:14:03,280 Speaker 1: Like you see a stray dog in a country where 215 00:14:03,280 --> 00:14:05,480 Speaker 1: there's a ton of stray dogs and it's a little weird, 216 00:14:05,559 --> 00:14:07,440 Speaker 1: a little pointy, and you're like, it's just like a 217 00:14:07,880 --> 00:14:11,000 Speaker 1: sort of angular, right straight dog, right like. 218 00:14:11,280 --> 00:14:13,440 Speaker 2: Right, like, how would you how could you for sure? 219 00:14:13,600 --> 00:14:13,640 Speaker 3: No? 220 00:14:13,800 --> 00:14:15,720 Speaker 2: Without testing? 221 00:14:15,760 --> 00:14:19,160 Speaker 1: I suppose, right, And you don't go around testing every dog, 222 00:14:19,600 --> 00:14:22,280 Speaker 1: every straight dog you find. I mean, it's a miracle 223 00:14:22,320 --> 00:14:25,640 Speaker 1: they even not anymore, not since. 224 00:14:26,400 --> 00:14:29,120 Speaker 2: The restraining car, since the incident. 225 00:14:30,880 --> 00:14:33,080 Speaker 1: But yeah, I mean like if they hadn't, like I mean, 226 00:14:33,200 --> 00:14:35,960 Speaker 1: if this dog hadn't been hit by car, and if 227 00:14:36,000 --> 00:14:39,080 Speaker 1: they didn't go like well too bad, so sad and 228 00:14:39,240 --> 00:14:42,040 Speaker 1: didn't take it into the vet, like, we wouldn't have known. 229 00:14:42,280 --> 00:14:46,200 Speaker 1: So it's just just the chance of this happening, is 230 00:14:46,240 --> 00:14:50,160 Speaker 1: what bewilders me. Is Like, it is such a tiny 231 00:14:50,280 --> 00:14:54,720 Speaker 1: chance that this hybrid would happen and that we'd find 232 00:14:54,760 --> 00:14:57,520 Speaker 1: it and that we'd test for it and it'd survived 233 00:14:57,520 --> 00:15:00,240 Speaker 1: this getting hit by a car. It's just so many 234 00:15:00,280 --> 00:15:03,840 Speaker 1: things had to align for this to happen. Or maybe 235 00:15:03,880 --> 00:15:06,160 Speaker 1: these hybrids are happening all the time, but we're just 236 00:15:06,160 --> 00:15:07,000 Speaker 1: not recording them. 237 00:15:07,880 --> 00:15:10,600 Speaker 3: Yeah, well that's that, I guess, is the thing, right, 238 00:15:10,640 --> 00:15:15,200 Speaker 3: because it is like how often would you even bother testing? 239 00:15:15,600 --> 00:15:20,160 Speaker 2: Like right, yeah, yeah, just like it's really interesting. 240 00:15:20,040 --> 00:15:23,320 Speaker 1: Following a dog around with like a mouth swab or 241 00:15:23,360 --> 00:15:25,960 Speaker 1: a syringe. You know, we don't. Yeah, I mean it's 242 00:15:26,000 --> 00:15:27,120 Speaker 1: like again, yeah. 243 00:15:27,000 --> 00:15:28,400 Speaker 2: They don't let me do that anymore. 244 00:15:28,560 --> 00:15:30,400 Speaker 1: No, not anymore, not anymore. 245 00:15:30,480 --> 00:15:30,800 Speaker 2: Whatever. 246 00:15:32,680 --> 00:15:34,720 Speaker 1: Well, we're going to take a quick break and when 247 00:15:34,760 --> 00:15:37,440 Speaker 1: we get back we're going to talk about some more 248 00:15:37,880 --> 00:15:41,440 Speaker 1: good doggies who do a good job. Good dog, Yeah, 249 00:15:41,800 --> 00:15:46,120 Speaker 1: good job. Can Peanut hear me? Pina, you're a good yoggy. 250 00:15:46,600 --> 00:15:50,680 Speaker 2: I have had phones, but I don't just particularly just 251 00:15:50,760 --> 00:15:53,800 Speaker 2: doesn't give a shame about anything. So she's she's going 252 00:15:53,840 --> 00:15:54,560 Speaker 2: to stay asleep. 253 00:15:54,560 --> 00:15:59,520 Speaker 1: I think, Yeah, Cookies, Uh, gives very much a crap 254 00:15:59,560 --> 00:16:05,480 Speaker 1: about it everything at all times, which you know, is great. 255 00:16:05,480 --> 00:16:05,920 Speaker 2: I love it. 256 00:16:08,440 --> 00:16:10,400 Speaker 1: I'm not tired at all. All right, we will be 257 00:16:10,480 --> 00:16:15,640 Speaker 1: right back. Okay, we are back, and we are talking 258 00:16:15,720 --> 00:16:20,440 Speaker 1: about dogs who are amazing and good and so wonderful 259 00:16:20,520 --> 00:16:22,920 Speaker 1: and I love them, love them so much. So I 260 00:16:23,040 --> 00:16:27,560 Speaker 1: have talked about how dogs have incredible noses. Their sense 261 00:16:27,600 --> 00:16:30,480 Speaker 1: of smell is something that is hard for the human 262 00:16:30,520 --> 00:16:35,360 Speaker 1: mind to conceive. They have such sensitivity and complexity of 263 00:16:35,440 --> 00:16:39,680 Speaker 1: their senses, their smelling senses. I really think that for 264 00:16:39,760 --> 00:16:43,520 Speaker 1: a dog, smelling thing is as rich and deep in 265 00:16:43,600 --> 00:16:46,800 Speaker 1: experience as like seeing things or hearing things is for 266 00:16:47,000 --> 00:16:50,760 Speaker 1: human like reading a book for a human. For a 267 00:16:50,840 --> 00:16:55,280 Speaker 1: dog is like smelling another dog's But it's just like 268 00:16:55,480 --> 00:16:58,920 Speaker 1: I am reading your Facebook profile, except it is your 269 00:16:58,960 --> 00:16:59,760 Speaker 1: anal glands. 270 00:17:02,560 --> 00:17:06,800 Speaker 3: Yeah, yeah, and it is certainly most most people are 271 00:17:06,800 --> 00:17:09,719 Speaker 3: not like that, but not all people are not not 272 00:17:09,960 --> 00:17:10,320 Speaker 3: like that. 273 00:17:11,520 --> 00:17:14,840 Speaker 1: Yes, I feel like this restraining order is making more 274 00:17:14,840 --> 00:17:18,879 Speaker 1: and more sense. But so Peanut, your dog does she 275 00:17:19,240 --> 00:17:20,400 Speaker 1: like to smell things? 276 00:17:21,080 --> 00:17:21,520 Speaker 2: She does? 277 00:17:21,600 --> 00:17:24,080 Speaker 3: She just this week, just before we started recording, she 278 00:17:24,240 --> 00:17:28,280 Speaker 3: like went outside and just not even smell. 279 00:17:28,480 --> 00:17:29,760 Speaker 2: This is also just so gross. 280 00:17:29,800 --> 00:17:32,520 Speaker 3: But she was like really going to town on a 281 00:17:32,600 --> 00:17:35,720 Speaker 3: corner of a sidewalk, which I assume was where someone 282 00:17:35,760 --> 00:17:38,879 Speaker 3: had peed, and then just took like a little teeny 283 00:17:38,960 --> 00:17:41,000 Speaker 3: tiny lick and I was like, oh my god, that's 284 00:17:41,040 --> 00:17:41,720 Speaker 3: so gross. 285 00:17:41,880 --> 00:17:45,400 Speaker 1: Sometimes you gotta taste the stain. Sometimes there's a mystery 286 00:17:45,480 --> 00:17:48,800 Speaker 1: stain and you gotta taste it. Yeah, always taste it. 287 00:17:49,080 --> 00:17:56,080 Speaker 1: So dogs have this wonderful, extraordinary sense, and they are 288 00:17:56,119 --> 00:17:59,520 Speaker 1: also amazing animals that have co evolved with us and 289 00:17:59,560 --> 00:18:04,720 Speaker 1: for whatever reason, want to please us. So with these 290 00:18:05,000 --> 00:18:09,840 Speaker 1: powers combined, we can teach dogs how to be super 291 00:18:09,880 --> 00:18:11,919 Speaker 1: dogs who can use their sense of smell to do 292 00:18:12,000 --> 00:18:17,360 Speaker 1: amazing things. Not for searching for drugs, because that's BS 293 00:18:17,440 --> 00:18:20,720 Speaker 1: and I do not like the use of dogs as 294 00:18:20,960 --> 00:18:26,280 Speaker 1: like police sniffer dogs. That is all totally bunk or not. 295 00:18:26,680 --> 00:18:29,720 Speaker 1: It's not totally bunk. They can smell drugs and stuff, 296 00:18:29,720 --> 00:18:32,680 Speaker 1: but they're also so sensitive to their handlers that they 297 00:18:32,720 --> 00:18:35,160 Speaker 1: give so many like fall signals because they're like, oh, 298 00:18:35,200 --> 00:18:37,760 Speaker 1: you want me to say there's drugs here, Okay, there's 299 00:18:37,800 --> 00:18:43,000 Speaker 1: drugs here. So yeah, So not so much a fan 300 00:18:43,080 --> 00:18:45,600 Speaker 1: of that. But what I am a fan of is 301 00:18:45,720 --> 00:18:49,960 Speaker 1: using dog smells to save the environment. So there are 302 00:18:50,119 --> 00:18:54,200 Speaker 1: dogs that have been trained how to help see turtles. 303 00:18:54,400 --> 00:19:00,880 Speaker 1: So sea turtle populations are vulnerable, and so conservationists often 304 00:19:01,520 --> 00:19:04,320 Speaker 1: inspect the beaches where sea turtles lay their eggs to 305 00:19:04,440 --> 00:19:08,280 Speaker 1: protect them from poachers, both animal poachers and humans. So 306 00:19:08,320 --> 00:19:11,600 Speaker 1: they want to protect them from scavengers. I know, it's 307 00:19:11,640 --> 00:19:14,080 Speaker 1: like one of those things where we're tipping the scales 308 00:19:14,119 --> 00:19:19,040 Speaker 1: sometimes because scavengers want to eat food and what. But 309 00:19:19,359 --> 00:19:23,280 Speaker 1: you know, it's kind of we've already sort of messed 310 00:19:23,280 --> 00:19:26,960 Speaker 1: the balance up enough that we try to maintain these 311 00:19:27,000 --> 00:19:30,800 Speaker 1: sea turtle populations so you know, lesser of two evils perhaps, 312 00:19:32,040 --> 00:19:35,640 Speaker 1: but you know, it's also to protect them from human poachers. 313 00:19:35,680 --> 00:19:40,400 Speaker 1: So in southeastern US, there are a ton of sea 314 00:19:40,440 --> 00:19:44,840 Speaker 1: turtles that come to the beaches, including loggerheads, camps, Ridley's 315 00:19:45,320 --> 00:19:48,840 Speaker 1: Green sea turtles and leather backs. They gather on beaches 316 00:19:48,920 --> 00:19:52,000 Speaker 1: at night at a certain time of year to lay 317 00:19:52,040 --> 00:19:55,040 Speaker 1: their eggs in nests. And what a nest is is 318 00:19:55,119 --> 00:19:59,159 Speaker 1: basically they dig a hole, they plunk out these little 319 00:19:59,240 --> 00:20:04,439 Speaker 1: golf ball like eggs, cover the hole and leave. Parenting easy. 320 00:20:07,280 --> 00:20:08,320 Speaker 2: Yeah, that's the ideal. 321 00:20:08,400 --> 00:20:10,760 Speaker 3: You just kind of like put of in a hole 322 00:20:11,680 --> 00:20:13,400 Speaker 3: and that's that, and that you've done your job. 323 00:20:13,600 --> 00:20:16,440 Speaker 1: You cover them in sand and then you leave, because 324 00:20:16,720 --> 00:20:20,080 Speaker 1: that is you know, it builds character for the for 325 00:20:20,160 --> 00:20:26,120 Speaker 1: the children. So conservationists then have a hard time finding 326 00:20:26,200 --> 00:20:29,359 Speaker 1: these sea turtle nests because it's buried in the sand. 327 00:20:29,400 --> 00:20:33,240 Speaker 1: It's like buried treasure. Also, seed turtles will sometimes go 328 00:20:33,600 --> 00:20:37,040 Speaker 1: like they might make tracks, but sometimes they'll go try 329 00:20:37,080 --> 00:20:40,640 Speaker 1: to lay eggs and nothing comes out, and then they 330 00:20:40,680 --> 00:20:42,280 Speaker 1: just go back to the seas. So that you can 331 00:20:42,440 --> 00:20:44,679 Speaker 1: dig where you see tracks and there's nothing there. So 332 00:20:46,359 --> 00:20:49,560 Speaker 1: it's also kind of a time sensitive thing. You want 333 00:20:49,600 --> 00:20:52,000 Speaker 1: to like find where these nests are and observe them 334 00:20:52,119 --> 00:20:56,359 Speaker 1: and make sure to protect these areas before you know, 335 00:20:57,640 --> 00:21:01,520 Speaker 1: time runs out. And so they have have trained some 336 00:21:01,680 --> 00:21:08,000 Speaker 1: dogs to smell chloakele mucus, which is doesn't that sound lovely. 337 00:21:09,160 --> 00:21:12,359 Speaker 3: Yeah, I mean, look, it's not worse than any other 338 00:21:12,480 --> 00:21:13,720 Speaker 3: thing my dog likes. 339 00:21:14,040 --> 00:21:19,680 Speaker 1: Yeah. Man, Like again, I love that dogs love stinky, heinous, 340 00:21:19,720 --> 00:21:22,960 Speaker 1: disgusting things. And we're like, you know what, that's that's 341 00:21:23,000 --> 00:21:28,040 Speaker 1: an employable skill right there. So next time your dog 342 00:21:28,080 --> 00:21:31,040 Speaker 1: smells like some pile of goo on the ground and 343 00:21:31,080 --> 00:21:33,520 Speaker 1: you don't want to know what it is, just remember 344 00:21:34,000 --> 00:21:37,600 Speaker 1: there are dogs out there that use that skill to 345 00:21:37,680 --> 00:21:40,960 Speaker 1: find cloacal mucus and save the turtles. 346 00:21:41,520 --> 00:21:45,360 Speaker 3: So I I'm loving it. 347 00:21:46,520 --> 00:21:52,439 Speaker 1: So there are some professional sea turtle egg sniffers. There 348 00:21:52,600 --> 00:21:57,080 Speaker 1: is Dory, a Florida mutt who is uh who is 349 00:21:57,119 --> 00:22:00,680 Speaker 1: rescued from the side of the road in Florida, and 350 00:22:00,920 --> 00:22:05,359 Speaker 1: Captain Ron, who is a beagle who's apparently also a captain. 351 00:22:06,119 --> 00:22:09,880 Speaker 1: They were both trained by dog behavioral expert Pepe Peruyero 352 00:22:10,280 --> 00:22:14,960 Speaker 1: to detect these eggs, and they have been tested and 353 00:22:15,600 --> 00:22:20,040 Speaker 1: they can be more accurate and more efficient in certain 354 00:22:20,080 --> 00:22:26,000 Speaker 1: circumstances at detecting sea turtle nests than humans. So essentially 355 00:22:26,520 --> 00:22:28,399 Speaker 1: the dogs are after our jobs. 356 00:22:29,000 --> 00:22:33,520 Speaker 3: Oh yeah, yeah, that's okay. Now I'm anti dog, I 357 00:22:33,520 --> 00:22:37,160 Speaker 3: guess right. A lot of trigulation here yeah. 358 00:22:37,240 --> 00:22:40,560 Speaker 1: I mean, you know, we were worried about to what 359 00:22:40,720 --> 00:22:44,159 Speaker 1: is it automation and the robots staying here jobs? But 360 00:22:44,320 --> 00:22:46,480 Speaker 1: it was dogs, dogs the whole time. They're going to 361 00:22:46,560 --> 00:22:50,560 Speaker 1: take our jobs. Uh, and then you're just gonna, you know, 362 00:22:51,040 --> 00:22:53,919 Speaker 1: gotta try to go to McDonald's and there's a dog 363 00:22:54,440 --> 00:22:57,080 Speaker 1: with its you know, giving you urger. 364 00:22:57,480 --> 00:23:01,080 Speaker 2: And now I'm not now a pro dog taking our job. 365 00:23:01,720 --> 00:23:04,320 Speaker 2: There's a lot to figure. I feel like, yeah, it's 366 00:23:04,320 --> 00:23:07,360 Speaker 2: a complex issue, right, I. 367 00:23:07,280 --> 00:23:10,159 Speaker 1: Mean, if you don't mind, like if they get a 368 00:23:10,200 --> 00:23:13,240 Speaker 1: little bit of like slobbery in your fries, you. 369 00:23:13,200 --> 00:23:18,320 Speaker 3: Know, yep, right, the evidence suggests I don't mind, given 370 00:23:18,359 --> 00:23:19,640 Speaker 3: how I live my life so. 371 00:23:20,320 --> 00:23:22,880 Speaker 1: Like, and they're you know, if you think they're only 372 00:23:22,880 --> 00:23:27,040 Speaker 1: coming after uh service jobs, they're probably gonna start a 373 00:23:27,040 --> 00:23:28,960 Speaker 1: podcast too. So I'm going to be out of a 374 00:23:29,160 --> 00:23:32,560 Speaker 1: job because who would who wouldn't rather listen to a 375 00:23:32,600 --> 00:23:38,800 Speaker 1: dog than to me? Like, honestly, oh man, do they 376 00:23:38,840 --> 00:23:40,160 Speaker 1: make dog podcasts? 377 00:23:40,240 --> 00:23:41,160 Speaker 2: I guess they make something. 378 00:23:41,480 --> 00:23:44,320 Speaker 1: They must, right, there must just be a podcast that's 379 00:23:44,400 --> 00:23:46,920 Speaker 1: like just a dog sort of breathing. 380 00:23:47,240 --> 00:23:47,679 Speaker 2: I guess. 381 00:23:47,920 --> 00:23:50,840 Speaker 3: I guess there's those like I mean, I think spam 382 00:23:50,920 --> 00:23:54,200 Speaker 3: YouTube channels that are just like four hours of a squirrel. 383 00:23:54,200 --> 00:23:58,159 Speaker 1: Right, Yeah? Is there like dog asmr that's just the 384 00:23:58,200 --> 00:24:03,080 Speaker 1: sound of hot dog breath, stinky stinky dog. 385 00:24:02,960 --> 00:24:08,520 Speaker 3: Breath has to be just because it's like. 386 00:24:06,680 --> 00:24:10,600 Speaker 1: Not right, it's there's ASMR of everything, and there's podcasts 387 00:24:10,640 --> 00:24:15,600 Speaker 1: of everything. Maybe maybe Cookie and Peanut should start their 388 00:24:15,640 --> 00:24:20,280 Speaker 1: own podcast where it's just kind of mouth sounds, you know, 389 00:24:20,560 --> 00:24:22,720 Speaker 1: licking sounds. 390 00:24:22,880 --> 00:24:27,120 Speaker 3: Or just dumb, dumb weird humans, you know, right, other 391 00:24:27,760 --> 00:24:31,360 Speaker 3: weird like, oh, wouldn't even let me lick any. 392 00:24:31,200 --> 00:24:38,080 Speaker 1: P right, happening, Yeah, exactly complaining about owners, you know, 393 00:24:38,600 --> 00:24:43,120 Speaker 1: so it's happening. The dogs will take all of our jobs. 394 00:24:43,480 --> 00:24:48,080 Speaker 1: But you know, apparently dogs and conservationists can work together, uh, 395 00:24:48,280 --> 00:24:52,040 Speaker 1: such as the case with sniffing out invasive species. So 396 00:24:52,080 --> 00:24:57,320 Speaker 1: in Alberta, Canada, trained dogs such as a Helo the 397 00:24:57,400 --> 00:25:03,200 Speaker 1: black labrador checks the holes of boats for invasive muscles 398 00:25:03,760 --> 00:25:07,439 Speaker 1: and sniffs out invasive bore turds, which is just like 399 00:25:07,480 --> 00:25:10,160 Speaker 1: that must be candy to dogs, like bore turds are 400 00:25:10,160 --> 00:25:16,040 Speaker 1: you kiddmny. And they also can detect the aroma of 401 00:25:16,240 --> 00:25:20,760 Speaker 1: invasive plants. So it is a really important job because, 402 00:25:21,000 --> 00:25:26,359 Speaker 1: for instance, an invasive muscle the bivalves that can cling 403 00:25:26,440 --> 00:25:30,600 Speaker 1: to things. It can be the larva. The muscle can 404 00:25:30,600 --> 00:25:34,399 Speaker 1: be the size of a grain of rice. So visually 405 00:25:34,440 --> 00:25:36,359 Speaker 1: it might be really hard to see, but having the 406 00:25:36,400 --> 00:25:41,960 Speaker 1: dog's keen nose can help spot these really tiny muscles, 407 00:25:42,040 --> 00:25:45,960 Speaker 1: and that can prevent invasive muscles from causing mayhem in 408 00:25:46,000 --> 00:25:49,840 Speaker 1: the local waterways, which is really dangerous for the local ecosystems. 409 00:25:49,840 --> 00:25:52,480 Speaker 1: It also costs a lot of money. So humans will 410 00:25:52,480 --> 00:25:55,280 Speaker 1: be looking at the same boat and visually looking for 411 00:25:55,320 --> 00:25:57,920 Speaker 1: anything while the dog is sniffing out anything. So they're 412 00:25:57,960 --> 00:26:01,240 Speaker 1: working together. You know, humans have really good vision and 413 00:26:01,359 --> 00:26:04,080 Speaker 1: dogs have really good sense of smell, and we're combining 414 00:26:04,119 --> 00:26:09,040 Speaker 1: those to be the ultimate kind of unit. 415 00:26:11,080 --> 00:26:11,879 Speaker 2: Yeah. 416 00:26:11,920 --> 00:26:15,400 Speaker 3: Well yeah, and it is like, how good are your 417 00:26:15,440 --> 00:26:20,360 Speaker 3: eyes really compared to I mean, yeah, like finding especially 418 00:26:20,400 --> 00:26:24,520 Speaker 3: finding a little muscle. It seems like noses by far 419 00:26:24,640 --> 00:26:26,520 Speaker 3: the best way to go. I might even have to 420 00:26:26,600 --> 00:26:29,600 Speaker 3: use my nose given the senses I have available. 421 00:26:30,440 --> 00:26:33,600 Speaker 1: Yeah, I mean to be fair human beings, like in general, 422 00:26:33,720 --> 00:26:37,240 Speaker 1: our eyesight and our color kind of spectrum, while not 423 00:26:37,280 --> 00:26:40,639 Speaker 1: the best in the animal kingdom, it's pretty good. Like 424 00:26:40,720 --> 00:26:43,239 Speaker 1: we have a wider range of colors that we can 425 00:26:43,280 --> 00:26:46,000 Speaker 1: see than dogs, and so we our visual system in 426 00:26:46,080 --> 00:26:49,919 Speaker 1: terms of detail is probably better than a dog. But 427 00:26:50,200 --> 00:26:54,320 Speaker 1: you know, dog's sense of smell is like ridiculously better 428 00:26:54,560 --> 00:26:57,080 Speaker 1: than a human sense of smell. So it is. I 429 00:26:57,119 --> 00:27:00,360 Speaker 1: just think it's kind of cute that we have. Like 430 00:27:01,000 --> 00:27:03,400 Speaker 1: us and wolves were like, hey, we have different skills 431 00:27:03,440 --> 00:27:06,680 Speaker 1: here that we're going to share. Okay, fine, you can 432 00:27:06,680 --> 00:27:10,960 Speaker 1: breed us to look really cute, but essentially, like you know, 433 00:27:11,280 --> 00:27:14,200 Speaker 1: we bring the nose. We're the nose of the operation, 434 00:27:14,280 --> 00:27:17,280 Speaker 1: and you're the eyes and hands of the operation because 435 00:27:17,320 --> 00:27:20,320 Speaker 1: those opposable thumbs get really good butt scratches. 436 00:27:20,800 --> 00:27:22,880 Speaker 2: And then just thumbs is key. 437 00:27:23,240 --> 00:27:26,680 Speaker 1: Thumbs is Thumbs is the one thing, right, Like when 438 00:27:26,720 --> 00:27:31,080 Speaker 1: my dog is feeling a little smug, I'm just like, thumbs, dude, 439 00:27:31,400 --> 00:27:32,919 Speaker 1: how are you going to open up your bag of 440 00:27:32,960 --> 00:27:35,240 Speaker 1: dog food without these babies? 441 00:27:37,640 --> 00:27:39,240 Speaker 2: It's true, It's true. 442 00:27:39,320 --> 00:27:43,480 Speaker 3: Piana actually is Like also, like I was watching my 443 00:27:43,560 --> 00:27:45,280 Speaker 3: friend's dog and I kind of forgot because they were 444 00:27:45,280 --> 00:27:47,200 Speaker 3: about the same size, but this other dog was much 445 00:27:48,119 --> 00:27:50,480 Speaker 3: much more of a go getter, and I didn't realize 446 00:27:50,480 --> 00:27:53,439 Speaker 3: I had to like quite hide the treat bag the 447 00:27:53,480 --> 00:27:56,360 Speaker 3: way I ultimately needed to because I was like, oh, 448 00:27:56,880 --> 00:27:59,640 Speaker 3: like a dog with wherewithal will just open the shut 449 00:27:59,840 --> 00:28:03,440 Speaker 3: right right with their mouth. 450 00:28:03,880 --> 00:28:08,040 Speaker 1: Yeah, whenever, my when my dog has never quite figured 451 00:28:08,080 --> 00:28:10,920 Speaker 1: out how to open the treats bag, so she can 452 00:28:10,960 --> 00:28:14,120 Speaker 1: seize the means of production, but then she doesn't know 453 00:28:14,160 --> 00:28:17,240 Speaker 1: what to do with it once she sees it. So 454 00:28:17,359 --> 00:28:20,480 Speaker 1: like she has it and you can tell she feels 455 00:28:20,760 --> 00:28:23,640 Speaker 1: the power and the autonomy of being able to treat herself, 456 00:28:23,680 --> 00:28:27,240 Speaker 1: but then that final step of opening it up, she 457 00:28:27,359 --> 00:28:27,920 Speaker 1: is befunny. 458 00:28:28,760 --> 00:28:30,800 Speaker 2: Yeah, this one in particular was more of a brute 459 00:28:30,840 --> 00:28:32,000 Speaker 2: force sort of situation. 460 00:28:32,560 --> 00:28:36,360 Speaker 1: Yeah, tearing it open, Yeah, yeah, Cookie, I should mention 461 00:28:36,520 --> 00:28:37,280 Speaker 1: is a small dog. 462 00:28:39,280 --> 00:28:39,640 Speaker 2: She is. 463 00:28:40,280 --> 00:28:44,360 Speaker 1: She is little, and though she is fierce, she does 464 00:28:44,400 --> 00:28:49,000 Speaker 1: not have much in terms of raw power, so she 465 00:28:49,120 --> 00:28:54,240 Speaker 1: has to uh invent other ways to terrorize me, including 466 00:28:54,360 --> 00:28:58,120 Speaker 1: stealing my socks. Holding things hostage is kind of her technique, 467 00:28:58,160 --> 00:29:02,000 Speaker 1: like my socks, right, docum. She knows she can hear 468 00:29:02,040 --> 00:29:04,840 Speaker 1: the printer and she will run over and grab documents 469 00:29:04,920 --> 00:29:07,320 Speaker 1: right out of the printer because she knows TH's are 470 00:29:07,360 --> 00:29:08,640 Speaker 1: important and I want them. 471 00:29:09,360 --> 00:29:10,840 Speaker 2: Oh my god, that's so cute. 472 00:29:11,160 --> 00:29:19,920 Speaker 1: Yeah, he's my malicious secretary. 473 00:29:17,920 --> 00:29:20,080 Speaker 2: And you have a printer I would see what are 474 00:29:20,080 --> 00:29:20,840 Speaker 2: those in years? 475 00:29:21,200 --> 00:29:24,200 Speaker 1: Yeah? I mean, you know, it's a relic of the past. 476 00:29:24,640 --> 00:29:25,480 Speaker 2: Uh. 477 00:29:25,920 --> 00:29:29,080 Speaker 1: And I've I have a blood packed for all of 478 00:29:29,120 --> 00:29:31,360 Speaker 1: the printer ink, so I gotta make use. 479 00:29:31,520 --> 00:29:34,440 Speaker 2: Oh yeah, I'm start making your own. 480 00:29:34,600 --> 00:29:40,080 Speaker 1: Five thousand dollars a month for that printer ink. Okay, well, 481 00:29:40,120 --> 00:29:42,160 Speaker 1: we are going to take a quick break and when 482 00:29:42,200 --> 00:29:44,640 Speaker 1: we get back, we are going to talk about some 483 00:29:44,960 --> 00:29:49,520 Speaker 1: rat dogs as in they are radioactive. We will be 484 00:29:49,720 --> 00:29:54,600 Speaker 1: right back. So, Andrew, do you know about the Chernobyl 485 00:29:55,160 --> 00:29:58,520 Speaker 1: little uh oopsy bopsy that happened over there? 486 00:30:00,520 --> 00:30:03,000 Speaker 3: Yeah, a little bit, although I feel like I'm not 487 00:30:03,280 --> 00:30:05,240 Speaker 3: as up to speed as most people because I didn't 488 00:30:05,720 --> 00:30:08,239 Speaker 3: watch the show about it, which seems to be the 489 00:30:08,240 --> 00:30:11,240 Speaker 3: easiest pop cultural way to digest all the information. 490 00:30:11,640 --> 00:30:14,640 Speaker 1: I didn't watch the show either because I've I have 491 00:30:14,760 --> 00:30:19,640 Speaker 1: read a lot about the Chernobyl disaster, and I didn't 492 00:30:19,800 --> 00:30:26,440 Speaker 1: want to watch it because it's depressing. And also there's 493 00:30:26,560 --> 00:30:29,160 Speaker 1: details that I think the show might get into in 494 00:30:29,240 --> 00:30:32,680 Speaker 1: terms of just like when you're exposed to huge amount 495 00:30:32,680 --> 00:30:36,720 Speaker 1: of radiation, even if you don't die immediately, like almost 496 00:30:36,800 --> 00:30:41,520 Speaker 1: it's better if you die immediately because the days and 497 00:30:41,600 --> 00:30:45,800 Speaker 1: weeks of dying of radiation poisoning, where like your skin 498 00:30:46,280 --> 00:30:49,640 Speaker 1: falls off and your hair and teeth just like fall out, 499 00:30:49,680 --> 00:30:54,320 Speaker 1: and just your body is essentially disintegrating. It's like truly horrific. 500 00:30:54,560 --> 00:31:01,000 Speaker 1: I you know, do not recommend reading about it if 501 00:31:01,080 --> 00:31:03,840 Speaker 1: you're if you like to sleep well, No, I also 502 00:31:03,880 --> 00:31:09,120 Speaker 1: don't recommend getting it, you know, all right, you know 503 00:31:09,160 --> 00:31:11,400 Speaker 1: if you if you haven't, yeah, I know, I know, 504 00:31:11,560 --> 00:31:14,720 Speaker 1: I know, like you know, the Nanny state coming in 505 00:31:14,840 --> 00:31:17,600 Speaker 1: telling me what I can and can't do with my 506 00:31:17,960 --> 00:31:19,720 Speaker 1: DNA strands. 507 00:31:19,800 --> 00:31:22,840 Speaker 2: Yeah, or whatever's left. 508 00:31:23,000 --> 00:31:28,800 Speaker 1: Yeah. So yeah, like the Chernoble Exclusion Zone, it was 509 00:31:29,160 --> 00:31:31,440 Speaker 1: you know, for a good amount of time abandoned by 510 00:31:31,520 --> 00:31:39,360 Speaker 1: humans because of the deadly, deadly radiation after the reactor meltdown. 511 00:31:39,960 --> 00:31:43,160 Speaker 1: That it did kill people, and it was horrible, horrifying, 512 00:31:43,680 --> 00:31:46,680 Speaker 1: also really sad, like when people had to up and 513 00:31:46,920 --> 00:31:50,280 Speaker 1: abandon their homes, they often had to leave their dogs behind, 514 00:31:50,960 --> 00:31:55,200 Speaker 1: and a lot of the dogs were killed by authorities 515 00:31:55,280 --> 00:31:58,120 Speaker 1: because there was fears that they would spread disease or 516 00:31:58,240 --> 00:32:03,000 Speaker 1: nuclear contamination because you know, the dogs were irradiated. But 517 00:32:03,720 --> 00:32:08,080 Speaker 1: enough of the dogs survived that they created a population 518 00:32:08,240 --> 00:32:14,360 Speaker 1: of hundreds of feral but friendly dogs who are just 519 00:32:15,040 --> 00:32:20,040 Speaker 1: still hanging out in the Chernobyl exclusion zone. And so 520 00:32:20,200 --> 00:32:22,480 Speaker 1: like the difference between like a wild animal and a 521 00:32:22,480 --> 00:32:26,360 Speaker 1: feral animal, as feral animals are domesticated animals that have 522 00:32:26,680 --> 00:32:29,160 Speaker 1: you know, just do not have any owners and are 523 00:32:29,240 --> 00:32:31,440 Speaker 1: out and about making it on their own, whereas a 524 00:32:31,440 --> 00:32:35,600 Speaker 1: wild animal has not been domesticated, like a wolf is 525 00:32:35,640 --> 00:32:38,480 Speaker 1: going to act very differently from a feral dog because 526 00:32:38,520 --> 00:32:41,880 Speaker 1: the faral dog is generally going to be a lot friendlier, 527 00:32:42,680 --> 00:32:45,160 Speaker 1: not always, So don't go and like always, you know, 528 00:32:45,560 --> 00:32:47,960 Speaker 1: just immediately put your face up to the mouth of 529 00:32:48,000 --> 00:32:49,880 Speaker 1: a feral dog. That might not be a good idea, 530 00:32:50,000 --> 00:32:54,440 Speaker 1: but often feral dogs are pretty friendly. And these ones definitely, 531 00:32:54,600 --> 00:33:00,880 Speaker 1: like are relatively friendly. They will accept handouts from humans, 532 00:33:00,880 --> 00:33:04,720 Speaker 1: Like there are people now in the Chernobyle exclusion zone, 533 00:33:04,720 --> 00:33:07,480 Speaker 1: which is wild to me, but they do have to 534 00:33:07,640 --> 00:33:11,360 Speaker 1: like actually take care of the reactor because there's still 535 00:33:11,760 --> 00:33:16,440 Speaker 1: like active reactors there and if you don't maintain it, 536 00:33:16,360 --> 00:33:17,320 Speaker 1: it's a problem. 537 00:33:18,080 --> 00:33:20,320 Speaker 2: Yeah yeah, yeah, oh that's so. 538 00:33:21,320 --> 00:33:24,800 Speaker 3: Wait, Okay, so the difference wild and feral refers to 539 00:33:25,160 --> 00:33:28,960 Speaker 3: individual organisms or. 540 00:33:29,920 --> 00:33:30,880 Speaker 1: No whole species. 541 00:33:31,520 --> 00:33:33,880 Speaker 2: Okay, I see, I see right, right, right, So it 542 00:33:33,920 --> 00:33:34,640 Speaker 2: is dogs. 543 00:33:34,760 --> 00:33:39,200 Speaker 3: These species have been domesticated, Yes, but these I got Okay, 544 00:33:39,240 --> 00:33:41,960 Speaker 3: so it's not it's not like a formerly. 545 00:33:43,000 --> 00:33:43,920 Speaker 2: Owned right. 546 00:33:44,360 --> 00:33:49,520 Speaker 1: No, you can't undomesticate a dog unless I guess it 547 00:33:49,560 --> 00:33:54,960 Speaker 1: is it's like bread with wolf populations or something for years, 548 00:33:55,120 --> 00:33:59,040 Speaker 1: or if there's like some kind of like I guess 549 00:33:59,080 --> 00:34:01,040 Speaker 1: in theory, you could have a wild popular or a 550 00:34:01,160 --> 00:34:05,240 Speaker 1: feral population of dogs that genetically stray far enough from 551 00:34:05,520 --> 00:34:09,279 Speaker 1: domesticated dogs that it forms like a new species. But 552 00:34:09,760 --> 00:34:13,200 Speaker 1: generally speaking, yeah, if it's a like if you have 553 00:34:13,320 --> 00:34:16,680 Speaker 1: a chicken and it escapes and it lives in the 554 00:34:16,719 --> 00:34:21,239 Speaker 1: forest and it becomes the king chicken of the forest, like, 555 00:34:21,440 --> 00:34:24,239 Speaker 1: it's still a domesticated chicken. It's just answered the call 556 00:34:24,280 --> 00:34:26,280 Speaker 1: of the wild, and it's a feral chicken. 557 00:34:27,080 --> 00:34:32,400 Speaker 3: And that chicken's offspring even if assuming it's with another chicken, 558 00:34:32,480 --> 00:34:35,239 Speaker 3: even if they've never been in a coop, Ye, you're 559 00:34:35,280 --> 00:34:37,000 Speaker 3: still domesticated. 560 00:34:36,400 --> 00:34:41,719 Speaker 1: Still domesticated. Because domestication is a genetic process, taming is 561 00:34:42,160 --> 00:34:46,040 Speaker 1: a behavioral process. So a tame wolf is a wolf 562 00:34:46,080 --> 00:34:49,239 Speaker 1: who has been you know, raised since a puppy. You 563 00:34:49,400 --> 00:34:51,560 Speaker 1: tamed it, you trained it, and then it ate your 564 00:34:51,640 --> 00:34:54,719 Speaker 1: face one time, but like you know, overall, it's a 565 00:34:54,840 --> 00:34:59,359 Speaker 1: still pretty a good wolf other than that pinky it got. 566 00:35:00,080 --> 00:35:05,480 Speaker 1: Oh that's a tame animal. Domesticated animal is like you 567 00:35:05,520 --> 00:35:09,279 Speaker 1: know a chicken or a floppy or Danny or you 568 00:35:09,280 --> 00:35:11,239 Speaker 1: know a cow like something. 569 00:35:11,560 --> 00:35:15,680 Speaker 3: That has been mostly bread but yes, or whatever to 570 00:35:16,360 --> 00:35:17,920 Speaker 3: need to coexist with humans. 571 00:35:18,040 --> 00:35:22,480 Speaker 1: Yes, that we have. We have tinkered around with its DNA. 572 00:35:22,760 --> 00:35:25,960 Speaker 1: So it doesn't want to kill us, you're right, or 573 00:35:26,000 --> 00:35:29,280 Speaker 1: it's not afraid of us, yeah, exactly. So these dogs 574 00:35:29,320 --> 00:35:31,920 Speaker 1: are they are domesticated dogs. They are just a feral 575 00:35:31,960 --> 00:35:36,320 Speaker 1: population of domesticated dogs. But it's an interesting situation because 576 00:35:36,320 --> 00:35:39,400 Speaker 1: there is some interaction between these dogs and human beings 577 00:35:39,400 --> 00:35:42,640 Speaker 1: in the area. Like I said, like people still have 578 00:35:42,719 --> 00:35:46,200 Speaker 1: to be in the exclusion zone because they have to 579 00:35:46,280 --> 00:35:49,719 Speaker 1: maintain the power plant, which was wild to me. It 580 00:35:49,800 --> 00:35:52,799 Speaker 1: was like, how I mean, obviously the radiation levels have 581 00:35:53,320 --> 00:36:00,000 Speaker 1: diminished substantially since the reactor meltdown that happened. What was 582 00:36:00,120 --> 00:36:00,880 Speaker 1: that the eighties? 583 00:36:01,920 --> 00:36:05,120 Speaker 2: Yeah, like the seventh we watched the show. 584 00:36:05,840 --> 00:36:13,680 Speaker 1: It's always mystery Chernobyle eighties disaster. Uh yeah, in nineteen 585 00:36:13,719 --> 00:36:16,320 Speaker 1: eighty six. Uh wow, For once in my life. I 586 00:36:17,160 --> 00:36:24,080 Speaker 1: remembered a history fact, so uh the uh. There's like 587 00:36:24,200 --> 00:36:29,200 Speaker 1: actually a nonprofit organization called the Clean Futures Fund, which 588 00:36:29,520 --> 00:36:31,840 Speaker 1: has set out to offer medical care and support to 589 00:36:31,880 --> 00:36:34,800 Speaker 1: the employees who work in the power plant, like maintaining it, 590 00:36:35,040 --> 00:36:37,439 Speaker 1: you know, because you have to have a whole whole 591 00:36:37,600 --> 00:36:41,480 Speaker 1: crew of employees there, people who are actually maintaining the plant, janitors, 592 00:36:41,600 --> 00:36:44,239 Speaker 1: people who serve food to everyone, and they actually have 593 00:36:44,320 --> 00:36:47,400 Speaker 1: to work in shifts so that they don't get overly 594 00:36:47,480 --> 00:36:51,880 Speaker 1: exposed to the still present radiation. So like they'll do 595 00:36:52,040 --> 00:36:53,920 Speaker 1: like a couple of weeks on, a couple weeks off 596 00:36:54,040 --> 00:36:57,279 Speaker 1: so that they don't you know, get overly exposed, but 597 00:36:57,719 --> 00:37:00,640 Speaker 1: obviously still like there is a concern of their health. 598 00:37:01,320 --> 00:37:04,919 Speaker 1: So there's this organization, nonprofit and then they were like, hey, 599 00:37:05,680 --> 00:37:11,480 Speaker 1: it's interesting, there's all these dogs around, and they noticed that, 600 00:37:11,840 --> 00:37:14,839 Speaker 1: like some of these dogs seem to need medical care. 601 00:37:15,040 --> 00:37:19,520 Speaker 1: So they also started offering the dogs vaccines, spaying and 602 00:37:19,600 --> 00:37:23,279 Speaker 1: neutering the dogs, taking blood samples, generally just kind of 603 00:37:23,360 --> 00:37:25,960 Speaker 1: trying to take care of these dogs. Again, they're still 604 00:37:26,000 --> 00:37:29,799 Speaker 1: feral dogs, Like they're not you know, as far as 605 00:37:29,840 --> 00:37:33,799 Speaker 1: I know, they're not being adopted partially because they're like irradiated, 606 00:37:34,080 --> 00:37:39,840 Speaker 1: but they are being somewhat looked after now and this 607 00:37:40,160 --> 00:37:44,600 Speaker 1: has presented researchers with a very tantalizing opportunity, which is 608 00:37:44,719 --> 00:37:50,880 Speaker 1: looking at these dogs genetic makeups and seeing how the 609 00:37:51,239 --> 00:37:55,399 Speaker 1: exposure to radiation over many generations of these dogs has 610 00:37:55,760 --> 00:37:59,960 Speaker 1: impacted them. So it turns out they're actually too distinct 611 00:38:00,200 --> 00:38:03,839 Speaker 1: populations of these Chernobyle dogs. There are dogs who live 612 00:38:03,960 --> 00:38:06,880 Speaker 1: like right near the power plant. They're like within this 613 00:38:07,239 --> 00:38:10,440 Speaker 1: sort of fenced area that is the power plant. And 614 00:38:10,520 --> 00:38:13,319 Speaker 1: then there are a separate population of dogs who live 615 00:38:13,360 --> 00:38:16,840 Speaker 1: in Chernobyl City, which is kind of like outside of 616 00:38:16,880 --> 00:38:19,799 Speaker 1: the power plant, still kind of in the exclusion zone. 617 00:38:19,960 --> 00:38:24,719 Speaker 1: But interestingly, these dogs don't seem to breed with each 618 00:38:24,760 --> 00:38:27,800 Speaker 1: other that much, the power plant dogs and the Chernobyl 619 00:38:27,840 --> 00:38:32,000 Speaker 1: City dogs, not because of some like what is it 620 00:38:32,200 --> 00:38:36,880 Speaker 1: like Romeo and Juliet blood feud, but because there's like 621 00:38:37,120 --> 00:38:40,960 Speaker 1: fencing that seems to limit their ability to interact. So 622 00:38:45,800 --> 00:38:48,880 Speaker 1: I'm just thinking of like an like lady in the tramp, 623 00:38:49,080 --> 00:38:53,560 Speaker 1: But it's like they are irradiated and you know, slightly glowing. Uh, 624 00:38:53,640 --> 00:38:57,680 Speaker 1: they don't glow, which is too bad. But so uh, 625 00:38:57,760 --> 00:38:59,759 Speaker 1: but that's also really interesting because now you have two 626 00:38:59,760 --> 00:39:02,520 Speaker 1: populations of dogs, some closer to the radiation and some 627 00:39:02,640 --> 00:39:06,279 Speaker 1: further away that they can study both of these distinct populations. 628 00:39:06,920 --> 00:39:10,359 Speaker 1: And also they have found that a lot of these 629 00:39:10,480 --> 00:39:14,279 Speaker 1: dogs have German Shepherd DNA, which is likely because the 630 00:39:14,440 --> 00:39:16,759 Speaker 1: most popular dog in the area at the time of 631 00:39:16,880 --> 00:39:19,839 Speaker 1: the meltdown was a German shepherd, so when they left, 632 00:39:20,640 --> 00:39:22,919 Speaker 1: they're all these German shepherds. They were probably also most 633 00:39:23,000 --> 00:39:25,680 Speaker 1: likely to be the dogs that would survive on their own, 634 00:39:26,040 --> 00:39:28,839 Speaker 1: So you have a high amount of German Shepherd DNA 635 00:39:30,200 --> 00:39:33,680 Speaker 1: and other European shepherd DNA and these dogs. They plan 636 00:39:33,800 --> 00:39:38,600 Speaker 1: to compare the DNA sequences of both of these dog populations, 637 00:39:38,680 --> 00:39:44,120 Speaker 1: the chernobyle dogs with each other and with the DNA 638 00:39:44,400 --> 00:39:48,040 Speaker 1: of like say, German shepherds, other shepherds that are that 639 00:39:48,160 --> 00:39:50,560 Speaker 1: are not irradiated, that are you know, just sort of 640 00:39:50,680 --> 00:39:55,520 Speaker 1: your standard dogs, to see how this radiation has changed 641 00:39:55,600 --> 00:39:58,440 Speaker 1: the dog's genomes and like, what is the impact of 642 00:39:58,680 --> 00:40:03,680 Speaker 1: this low level constant radiation over many generations of dogs, 643 00:40:04,120 --> 00:40:07,000 Speaker 1: Has it like forced them to evolve in some way? 644 00:40:08,080 --> 00:40:10,200 Speaker 1: I don't, They don't have answers yet, but I think 645 00:40:10,239 --> 00:40:12,000 Speaker 1: this is really interesting and exciting. 646 00:40:13,080 --> 00:40:18,160 Speaker 3: Yeah huh, I mean right, And it's just because this 647 00:40:18,520 --> 00:40:21,920 Speaker 3: like cannot really occur, Like even if like there's an 648 00:40:22,040 --> 00:40:26,680 Speaker 3: animal population near like a uranium or vein or something, 649 00:40:26,800 --> 00:40:27,400 Speaker 3: it's not like. 650 00:40:28,200 --> 00:40:30,440 Speaker 1: Yeah, it's not like this constant you you can't get this. 651 00:40:30,719 --> 00:40:33,560 Speaker 1: Yeah yeah, yeah, I mean they have they have like 652 00:40:33,760 --> 00:40:38,520 Speaker 1: done research on wild animal populations in this area as well, 653 00:40:38,600 --> 00:40:45,040 Speaker 1: like looking in how it has affected their their phenotypic presentation, 654 00:40:45,200 --> 00:40:48,520 Speaker 1: how it's affected their DNA, like sometimes it has affected 655 00:40:48,640 --> 00:40:53,560 Speaker 1: say bird coloration because this ends up also impacting how 656 00:40:53,600 --> 00:40:56,080 Speaker 1: the birds are able to like fight free radicals in 657 00:40:56,120 --> 00:40:59,560 Speaker 1: their bodies. So there's really interesting stuff that goes on here. 658 00:41:00,560 --> 00:41:03,719 Speaker 1: So I'm really excited to learn more about what is 659 00:41:03,840 --> 00:41:06,680 Speaker 1: going on with these dogs. This is something I will 660 00:41:06,719 --> 00:41:10,399 Speaker 1: definitely keep my eye on, keep people posted. But it's 661 00:41:10,440 --> 00:41:13,960 Speaker 1: also just really cool that there are these like chernobyle 662 00:41:14,040 --> 00:41:19,280 Speaker 1: dogs out hanging out, uh doing Okay, I guess, Like obviously, 663 00:41:19,520 --> 00:41:21,080 Speaker 1: I think it gets tough for them in the winter, 664 00:41:21,239 --> 00:41:24,359 Speaker 1: and so this nonprofit group is also trying to make 665 00:41:24,400 --> 00:41:28,160 Speaker 1: sure that they don't overbreed or starve or anything. But 666 00:41:29,840 --> 00:41:32,880 Speaker 1: it's it's you know, it's just like the tenacity of 667 00:41:33,000 --> 00:41:38,040 Speaker 1: these dogs. Yeah, like literally survive a nuclear meltdown and 668 00:41:38,239 --> 00:41:41,799 Speaker 1: then survive in the wild, and they're all slightly irradiated, 669 00:41:41,840 --> 00:41:43,920 Speaker 1: but they're still cute and still fluffy. 670 00:41:44,040 --> 00:41:44,200 Speaker 2: Yeah. 671 00:41:44,800 --> 00:41:49,080 Speaker 3: Well, the compound of the confound is also surely like 672 00:41:49,440 --> 00:41:51,840 Speaker 3: what the part happens on their own humans everywhere. 673 00:41:53,160 --> 00:41:55,719 Speaker 1: Well, no, that is you are absolutely right. That is 674 00:41:55,800 --> 00:41:59,720 Speaker 1: a great point because a lot of the animal populations 675 00:42:00,280 --> 00:42:04,439 Speaker 1: in this area of different species are doing surprisingly well. 676 00:42:05,280 --> 00:42:08,920 Speaker 1: And the ideas like, well, wait, is low level radiation 677 00:42:09,239 --> 00:42:13,960 Speaker 1: good for them? Or is it that there aren't humans 678 00:42:14,000 --> 00:42:18,400 Speaker 1: around messing with the environment which actually allows them to thrive? 679 00:42:19,000 --> 00:42:23,719 Speaker 1: Both things are you know, plausible explanations Like obviously radiation, 680 00:42:24,640 --> 00:42:28,000 Speaker 1: don't go huffing radiation, But there's some idea of like 681 00:42:28,120 --> 00:42:31,959 Speaker 1: a really low level radiation could do something in terms 682 00:42:32,040 --> 00:42:36,759 Speaker 1: of like your body produces more free radical uh, more 683 00:42:37,200 --> 00:42:40,200 Speaker 1: more ways to antioxidants to fight free radicals, and therefore 684 00:42:40,239 --> 00:42:43,760 Speaker 1: that might have a protective effect for other disease or something. 685 00:42:43,840 --> 00:42:48,560 Speaker 1: So it's interesting stuff. Yeah, yeah, it's it's an interesting thing. Again, 686 00:42:49,440 --> 00:42:52,839 Speaker 1: I me and my lawyers cannot emphasize enough don't get 687 00:42:52,880 --> 00:42:55,920 Speaker 1: yourself radiated yeah, I guess I. 688 00:42:56,040 --> 00:43:01,800 Speaker 2: Lean more towards the humanity is more toxic than radiation. 689 00:43:02,239 --> 00:43:05,279 Speaker 1: I think that for the Earth, I think it's I 690 00:43:05,360 --> 00:43:08,360 Speaker 1: think it's almost certain that a lot of the animals 691 00:43:08,480 --> 00:43:12,160 Speaker 1: doing well in this area are because it's been mostly 692 00:43:12,200 --> 00:43:15,840 Speaker 1: abandoned by people. I think that this other effect of radiation, 693 00:43:16,000 --> 00:43:19,480 Speaker 1: maybe having like a slightly protective effect, may be true 694 00:43:19,520 --> 00:43:21,880 Speaker 1: of animals living on the fringe, like where they're kind 695 00:43:21,920 --> 00:43:24,920 Speaker 1: of further away from the radiation. And it's it's an 696 00:43:24,960 --> 00:43:28,360 Speaker 1: interesting idea. It could be a it could be a combo. 697 00:43:29,360 --> 00:43:34,000 Speaker 1: I'm hoping that these dogs do well and that the 698 00:43:34,480 --> 00:43:37,759 Speaker 1: radiation gave them cool powers. I know that's not how 699 00:43:37,840 --> 00:43:41,200 Speaker 1: it works, but sometimes, you know, I can dream that, 700 00:43:41,560 --> 00:43:44,799 Speaker 1: like we'll get some psychic dogs out of the deal. 701 00:43:47,520 --> 00:43:50,200 Speaker 2: Are just very bright dogs. 702 00:43:50,120 --> 00:43:55,200 Speaker 1: Right right, just like highly intelligent radiated dogs who know 703 00:43:55,440 --> 00:43:57,439 Speaker 1: nuclear secrets. What could go wrong? 704 00:43:58,080 --> 00:44:00,840 Speaker 2: I guess that's true. They can't do anything about it. 705 00:44:01,840 --> 00:44:06,279 Speaker 1: Yes, no thumbs, that's right, baby, you want to you 706 00:44:06,400 --> 00:44:09,000 Speaker 1: want to turn the key to start a nuclear war? 707 00:44:09,400 --> 00:44:14,680 Speaker 1: Where's your thumbs? I don't see them. Yeah, yeah, I 708 00:44:14,719 --> 00:44:17,480 Speaker 1: would actually feel safer if dogs were in charge of 709 00:44:17,880 --> 00:44:20,960 Speaker 1: nuclear weapons. I don't think they'd ever use them because 710 00:44:21,000 --> 00:44:24,160 Speaker 1: they're good. It's dogs are good boys and girls. I 711 00:44:24,239 --> 00:44:24,520 Speaker 1: don't know. 712 00:44:25,239 --> 00:44:27,520 Speaker 2: Peter feels like she would sell out the earth for 713 00:44:27,880 --> 00:44:29,480 Speaker 2: just a few few treats. 714 00:44:29,680 --> 00:44:36,239 Speaker 1: Okay, and in them only dogs excluding Chihuahba was in Pomeranians. Yeah, 715 00:44:39,080 --> 00:44:41,839 Speaker 1: my dog is probably a combination of chihuau and Pomeranian. 716 00:44:42,000 --> 00:44:44,960 Speaker 1: So she is not allowed to be in charge of 717 00:44:45,040 --> 00:44:47,600 Speaker 1: the nuclear codes because she would just like if she's 718 00:44:47,680 --> 00:44:51,120 Speaker 1: not getting enough belly scratches, she would threaten war. 719 00:44:51,840 --> 00:44:54,600 Speaker 2: Yeah, it feels very likely. 720 00:44:55,760 --> 00:44:58,760 Speaker 1: Yeah, as it stands now, she just kicks me until 721 00:44:58,760 --> 00:45:02,400 Speaker 1: I pet her. But yeah, if she had mutually assured destruction, 722 00:45:02,600 --> 00:45:05,279 Speaker 1: if like the belly rubs do not continue, it'd be 723 00:45:05,320 --> 00:45:06,040 Speaker 1: a bad situation. 724 00:45:06,200 --> 00:45:07,280 Speaker 2: Yeah, in a heartbeat. 725 00:45:09,080 --> 00:45:10,959 Speaker 1: All right, before we go, we gotta play a little 726 00:45:11,000 --> 00:45:15,279 Speaker 1: game called the Mystery Animal Sound Game. Every week I 727 00:45:15,440 --> 00:45:18,000 Speaker 1: play a mystery animal sound in You the listener, and 728 00:45:18,120 --> 00:45:20,759 Speaker 1: you the guests, try to guess who is making that sound. 729 00:45:20,800 --> 00:45:23,680 Speaker 1: It can be any animal in the world. Uh. Last 730 00:45:23,719 --> 00:45:28,640 Speaker 1: week ten it was this when he's crabby, he's happy? 731 00:45:35,120 --> 00:45:36,839 Speaker 1: All right, did you hear that little yelp? 732 00:45:37,800 --> 00:45:43,000 Speaker 2: Yeah? I think I'm gonna go with an otter. 733 00:45:43,920 --> 00:45:48,400 Speaker 1: Interesting guess I mean, okay, this is very interesting because 734 00:45:48,600 --> 00:45:52,239 Speaker 1: like you're close in terms of its diet, but not 735 00:45:52,520 --> 00:45:58,000 Speaker 1: the animal. So this is the crab eating fox. So 736 00:45:58,560 --> 00:46:04,400 Speaker 1: h congratcha relations to Roberts who gets correctly. Remember how 737 00:46:04,440 --> 00:46:08,320 Speaker 1: we talked about the pampas fox earlier, So this is 738 00:46:08,600 --> 00:46:11,160 Speaker 1: in the same genus as the pampas fox. This is 739 00:46:11,280 --> 00:46:15,320 Speaker 1: not a true fox, but a South American canad in 740 00:46:15,400 --> 00:46:19,800 Speaker 1: the genus. I can never say this good, like like 741 00:46:19,920 --> 00:46:24,440 Speaker 1: alo plex. So crab eating foxes look similar to a fox. 742 00:46:24,480 --> 00:46:27,400 Speaker 1: They're gray, they have a fox like snout, little fluffy tail. 743 00:46:28,200 --> 00:46:31,120 Speaker 1: They only get up to around fifteen pounds, which is 744 00:46:31,120 --> 00:46:35,400 Speaker 1: about seven kilograms. But it's more closely related to a 745 00:46:35,800 --> 00:46:39,160 Speaker 1: rare canad called the short eared dog, which lives in 746 00:46:39,200 --> 00:46:42,640 Speaker 1: the Amazon, than it is to any kind of red fox. 747 00:46:43,160 --> 00:46:47,880 Speaker 1: So the crab eating fox, as its name suggests, eats crabs. 748 00:46:48,440 --> 00:46:52,719 Speaker 1: They hunt in monogamous pears, and when they get separated, 749 00:46:52,800 --> 00:46:54,719 Speaker 1: they will call out for each other like these little 750 00:46:54,880 --> 00:46:58,960 Speaker 1: these little yelps. They make other sounds too. I had 751 00:46:59,160 --> 00:47:02,200 Speaker 1: a dick and of a time trying to find any 752 00:47:02,600 --> 00:47:06,879 Speaker 1: any audio online of this the crab eating fox making sound. 753 00:47:07,000 --> 00:47:10,719 Speaker 1: They are typically quite quiet. So I just found this 754 00:47:10,920 --> 00:47:14,040 Speaker 1: on a random Facebook page of a random like uh 755 00:47:14,680 --> 00:47:19,160 Speaker 1: organization that studies animals, and it was all in Spanish, 756 00:47:19,320 --> 00:47:22,000 Speaker 1: so it was a little tricky for me to figure 757 00:47:22,000 --> 00:47:24,560 Speaker 1: it out, but I found it. So there you go. 758 00:47:24,800 --> 00:47:25,600 Speaker 1: That's what sounds like. 759 00:47:26,520 --> 00:47:32,400 Speaker 2: That's a bad plus love love love to eat a crab, so. 760 00:47:33,960 --> 00:47:37,440 Speaker 1: Right, I know, right? Like, man, these fox delicious. 761 00:47:37,840 --> 00:47:40,239 Speaker 2: I did watch. I watched a YouTube video recently have 762 00:47:40,320 --> 00:47:42,560 Speaker 2: a sting ray eating a king crab and. 763 00:47:42,560 --> 00:47:47,560 Speaker 1: It was wild nice man some some uh just I 764 00:47:47,640 --> 00:47:50,839 Speaker 1: don't know why, but when animals eat seafood it makes 765 00:47:50,880 --> 00:47:54,400 Speaker 1: me hungry, like seeing a lion deep and like an 766 00:47:54,400 --> 00:47:57,080 Speaker 1: antelope carcass does nothing for me. But if I when 767 00:47:57,120 --> 00:47:59,919 Speaker 1: a bear like is just chowing down on a sand, 768 00:48:00,239 --> 00:48:02,360 Speaker 1: I'm like, that's essentially sushi. 769 00:48:03,120 --> 00:48:05,160 Speaker 2: Yeah, delicious, delicious. 770 00:48:05,760 --> 00:48:05,880 Speaker 3: Uh. 771 00:48:06,520 --> 00:48:10,320 Speaker 1: The crab eating fox does indeed eat crabs, and it 772 00:48:10,440 --> 00:48:15,680 Speaker 1: will eat also rodents, small reptiles, insects, eggs, fruit, and more. 773 00:48:15,719 --> 00:48:18,680 Speaker 1: It'll pretty much eat anything, but it does specialize in 774 00:48:18,800 --> 00:48:22,840 Speaker 1: eating crabs, which, man, I feel like I would invite 775 00:48:22,880 --> 00:48:27,839 Speaker 1: this fox to a crab crab crab boil. Yeah, they're 776 00:48:27,960 --> 00:48:31,520 Speaker 1: very cute. All right, onto this week's mister animal sound 777 00:48:31,600 --> 00:48:34,680 Speaker 1: the hint. This baby has one of the longest snoots, 778 00:48:34,880 --> 00:48:45,839 Speaker 1: but definitely don't boo. All right, you hear that weird 779 00:48:45,920 --> 00:48:49,800 Speaker 1: little sound? Mm hmmm uh, got any guesses? 780 00:48:50,560 --> 00:48:58,840 Speaker 2: Long snoop? Okay, craymm I guess that like a like 781 00:48:58,960 --> 00:49:00,520 Speaker 2: an anti eater. So deal. 782 00:49:01,800 --> 00:49:05,719 Speaker 1: That is an excellent guest. I'm not gonna tell you 783 00:49:05,719 --> 00:49:08,640 Speaker 1: if you're right or not. We will find out next 784 00:49:08,800 --> 00:49:11,480 Speaker 1: time on Creature Feature. If you think you know what 785 00:49:11,760 --> 00:49:13,640 Speaker 1: is making that sound right to me at Creature featurepot 786 00:49:13,640 --> 00:49:16,719 Speaker 1: at gmail dot com. You can also write to me 787 00:49:17,000 --> 00:49:21,640 Speaker 1: your questions, your photos of your pet dog or cat 788 00:49:22,400 --> 00:49:28,120 Speaker 1: or gerbil. No pictures of pet bunnies, I'm joking, send 789 00:49:28,160 --> 00:49:32,000 Speaker 1: those two, send all of them. Andrew T thank you 790 00:49:32,320 --> 00:49:37,120 Speaker 1: so much for joining me today. Can tell people where 791 00:49:37,239 --> 00:49:37,800 Speaker 1: to find you? 792 00:49:38,920 --> 00:49:43,600 Speaker 2: Sure, yeah, just on my podcast is called Jos's Racist. 793 00:49:44,200 --> 00:49:47,000 Speaker 2: It's not very much like this, but you're supposedly just 794 00:49:47,200 --> 00:49:51,799 Speaker 2: take an advice show. People call it. You know. It's 795 00:49:52,719 --> 00:49:53,840 Speaker 2: silly as it can be. 796 00:49:56,200 --> 00:49:59,160 Speaker 1: Like man, if you like animals, you should like people too. 797 00:49:59,600 --> 00:50:00,960 Speaker 2: So yeah, that's fine. 798 00:50:01,280 --> 00:50:03,600 Speaker 1: That Yeah, there you go, and fun. 799 00:50:03,480 --> 00:50:06,279 Speaker 2: And Peanut the dog is a frequent guest. 800 00:50:06,600 --> 00:50:12,400 Speaker 1: There you go, Peanut's got some problematic opinions. 801 00:50:12,000 --> 00:50:16,520 Speaker 2: But you know, oh my god, yeah, I'll straighten her 802 00:50:16,560 --> 00:50:17,080 Speaker 2: out one day. 803 00:50:18,719 --> 00:50:20,680 Speaker 1: Thank you guys so much for listening. If you're enjoying 804 00:50:20,719 --> 00:50:22,920 Speaker 1: the show, you can leave a rating or review. I 805 00:50:23,040 --> 00:50:25,520 Speaker 1: read every single one of the reviews. I print them 806 00:50:25,560 --> 00:50:29,120 Speaker 1: all out. I turn them into a giant paper mache 807 00:50:29,320 --> 00:50:33,640 Speaker 1: statue that I call my ego. And thanks to the 808 00:50:33,719 --> 00:50:37,600 Speaker 1: Space Cossics for their super awesome song Exo. Lumina Creature 809 00:50:37,640 --> 00:50:41,000 Speaker 1: features a production of iHeartRadio for more podcasts like the 810 00:50:41,080 --> 00:50:43,480 Speaker 1: one you just heard was the iHeartRadio app Apple podcast? 811 00:50:43,560 --> 00:50:47,920 Speaker 1: Or get are Yeah, I'm gonna actually redo that so 812 00:50:48,000 --> 00:50:49,239 Speaker 1: that you can understand what I'm saying. 813 00:50:49,920 --> 00:50:52,080 Speaker 2: Sure, or hey, guess what? 814 00:50:52,360 --> 00:50:56,400 Speaker 1: Wherever you listen to your favorite shows, See you next Wednesday.