1 00:00:06,880 --> 00:00:10,160 Speaker 1: Welcome to Creature future production of iHeartRadio. I'm your host 2 00:00:10,200 --> 00:00:15,040 Speaker 1: of Many Parasites, Katie Golden. I studied psychology and evolutionary biology, 3 00:00:15,040 --> 00:00:16,840 Speaker 1: and today on the show, we're talking about some of 4 00:00:16,920 --> 00:00:21,360 Speaker 1: the coolest animals you can find in US national parks. 5 00:00:21,840 --> 00:00:23,760 Speaker 1: Our national parks are home to some of the most 6 00:00:23,840 --> 00:00:28,480 Speaker 1: stunning species on the planet and are incredibly important reserves 7 00:00:28,520 --> 00:00:33,000 Speaker 1: that protect the biological jewels of America. From adorable little 8 00:00:33,000 --> 00:00:35,680 Speaker 1: cat like critters that look like they came straight out 9 00:00:35,680 --> 00:00:39,680 Speaker 1: of a Miyazaki film to the goat of Horns who 10 00:00:39,760 --> 00:00:43,479 Speaker 1: as spiky little guy with biological weaponry. These are just 11 00:00:43,600 --> 00:00:47,800 Speaker 1: three examples of the amazing animals found in national parks. 12 00:00:48,280 --> 00:00:50,440 Speaker 1: Discover this and more as we answer the age old 13 00:00:50,479 --> 00:00:53,159 Speaker 1: question when is a cat not a cat? And a 14 00:00:53,200 --> 00:00:56,279 Speaker 1: toad not a toad? Joining me today is stand up 15 00:00:56,280 --> 00:01:00,160 Speaker 1: comedian writer and runs the Facial Recognition Comedy Show at 16 00:01:00,200 --> 00:01:04,720 Speaker 1: the Comedy Shore. Comedy Shore Comedy Store. Pullavigod All and. 17 00:01:04,840 --> 00:01:08,720 Speaker 2: Welcome, ohoy mate, We're at the comedy show. 18 00:01:10,000 --> 00:01:16,280 Speaker 1: You're the Comedy Shore. She shells seashells by the air 19 00:01:17,120 --> 00:01:18,760 Speaker 1: at the Comedy Shore. 20 00:01:19,680 --> 00:01:22,360 Speaker 2: Taking a real hit. We're selling seashells now. You know, 21 00:01:24,840 --> 00:01:30,560 Speaker 2: I barely know where a barely sell her. 22 00:01:31,160 --> 00:01:38,679 Speaker 1: Yeah, cattlefish, I barely know a fish. This is why 23 00:01:38,760 --> 00:01:41,759 Speaker 1: you do stand up and I do sit down, Eddy, 24 00:01:41,920 --> 00:01:45,600 Speaker 1: sit down. Pre recorded comedy. 25 00:01:46,240 --> 00:01:48,240 Speaker 2: We love it, We love all of it. 26 00:01:49,720 --> 00:01:54,560 Speaker 1: Uh yeah, so just for apropos of absolutely nothing. I 27 00:01:54,600 --> 00:01:59,600 Speaker 1: really wanted to talk about the national parks in the 28 00:01:59,600 --> 00:02:05,600 Speaker 1: the Gulf of Mexico, I mean the United States. The 29 00:02:06,200 --> 00:02:09,679 Speaker 1: it is. They're like one of no joke, one of 30 00:02:09,760 --> 00:02:15,480 Speaker 1: my favorite things about America. And you know they're in 31 00:02:15,639 --> 00:02:19,799 Speaker 1: danger right now due to funding cuts. 32 00:02:19,760 --> 00:02:22,280 Speaker 2: Due to apex predators, the white Man. 33 00:02:24,919 --> 00:02:29,400 Speaker 1: Yes, yes, yeah, venture capitalists are going after our national parks. 34 00:02:29,440 --> 00:02:34,239 Speaker 1: They are cutting staff for no apparent reason, just like 35 00:02:34,800 --> 00:02:38,720 Speaker 1: n you know, you're all fired, which is very bad. 36 00:02:39,080 --> 00:02:42,480 Speaker 2: I saw such a heartbreaking post from a dad who 37 00:02:42,600 --> 00:02:44,680 Speaker 2: was like, what do I tell my wife as she's 38 00:02:44,760 --> 00:02:46,960 Speaker 2: crying and I don't have a job, And he like 39 00:02:47,360 --> 00:02:49,400 Speaker 2: the way he wrote his whole post about it was 40 00:02:49,440 --> 00:02:55,560 Speaker 2: really beautiful. He was like, yeah, yeah, it's heartbreaking. 41 00:02:55,320 --> 00:02:58,919 Speaker 1: And I yeah, I have a special place in my 42 00:02:58,960 --> 00:03:03,320 Speaker 1: heart for park rangers. This really stings, it really sucks. 43 00:03:03,360 --> 00:03:06,880 Speaker 2: They's also like a key part of Indian culture. You 44 00:03:07,000 --> 00:03:10,040 Speaker 2: will not ever go to a national park and not 45 00:03:10,160 --> 00:03:13,240 Speaker 2: see an auntie in a sari with sneakers on. It 46 00:03:13,320 --> 00:03:17,040 Speaker 2: is very important to our culture to visit national parks, 47 00:03:17,120 --> 00:03:20,559 Speaker 2: national monuments, to be tourists in all of these areas, 48 00:03:20,639 --> 00:03:25,320 Speaker 2: just at the gas station nearby, heating up some food 49 00:03:25,360 --> 00:03:30,000 Speaker 2: that we packed ourselves, and like experiencing being American. Like 50 00:03:30,040 --> 00:03:33,359 Speaker 2: that is that's what we think America is. We all 51 00:03:33,400 --> 00:03:35,720 Speaker 2: buy a grill that we never use and we visit 52 00:03:35,840 --> 00:03:36,640 Speaker 2: national parks. 53 00:03:36,760 --> 00:03:39,400 Speaker 1: I just don't think you're wrong. Who doesn't like who 54 00:03:39,520 --> 00:03:42,280 Speaker 1: doesn't like national parks? This is the thing that gets 55 00:03:42,280 --> 00:03:47,480 Speaker 1: me is I feel like everyone likes national parks. Like 56 00:03:47,720 --> 00:03:50,400 Speaker 1: everyone wants to go to the Grand Canyon, everyone wants 57 00:03:50,400 --> 00:03:55,360 Speaker 1: to go to Zion, to the Sequoias. It's everyone has 58 00:03:55,520 --> 00:04:00,560 Speaker 1: like experience enjoying national parks. They are so in credible 59 00:04:00,560 --> 00:04:03,880 Speaker 1: and amazing. And even if people are I know, like 60 00:04:04,160 --> 00:04:07,080 Speaker 1: probably all my listeners care about them also because of 61 00:04:07,320 --> 00:04:11,040 Speaker 1: conservation and animals. But even if you're just purely selfish, 62 00:04:11,080 --> 00:04:14,960 Speaker 1: it's just they're amazing to go to and look at. 63 00:04:15,120 --> 00:04:21,279 Speaker 2: Yeah, this is like cartoon villain. Yeah, let's find like 64 00:04:21,400 --> 00:04:24,400 Speaker 2: the things that people love the most you know, national 65 00:04:24,440 --> 00:04:28,320 Speaker 2: parks flying right side up and let's take it away 66 00:04:28,360 --> 00:04:28,840 Speaker 2: from them. 67 00:04:29,320 --> 00:04:31,559 Speaker 1: Yeah. By the way, if any of you out there 68 00:04:31,600 --> 00:04:36,240 Speaker 1: are happen to know or are park rangers, either current 69 00:04:36,560 --> 00:04:39,119 Speaker 1: or former, and you would like to talk about stuff 70 00:04:39,160 --> 00:04:42,559 Speaker 1: on the podcast, send me an email at Creature Feature 71 00:04:42,600 --> 00:04:45,480 Speaker 1: Pod at gmail dot com. I would love to talk 72 00:04:45,520 --> 00:04:49,200 Speaker 1: to you. Or if you're if you're shy, like some 73 00:04:49,240 --> 00:04:50,920 Speaker 1: of the animals we're about to talk about, you can 74 00:04:50,960 --> 00:04:54,200 Speaker 1: write to me and I will share your stories for sure, 75 00:04:54,240 --> 00:04:57,000 Speaker 1: because I feel like this is super important. So yeah, 76 00:04:57,040 --> 00:05:00,640 Speaker 1: let's let's talk about some of the amazing animal that 77 00:05:01,440 --> 00:05:03,479 Speaker 1: I feel like a lot of these just are not 78 00:05:04,080 --> 00:05:06,080 Speaker 1: some of them are not super well known, right, Like 79 00:05:06,520 --> 00:05:10,200 Speaker 1: everyone loves a good moose, a good bear that you 80 00:05:10,240 --> 00:05:13,039 Speaker 1: see at these national parks. But these guys are much 81 00:05:13,080 --> 00:05:18,280 Speaker 1: more elusive or maybe less glamorous. They get there less 82 00:05:18,279 --> 00:05:21,480 Speaker 1: in the spotlight. But they're really amazing. They're so cool. 83 00:05:21,800 --> 00:05:25,120 Speaker 2: So the first one actors that like you see in everything, 84 00:05:25,120 --> 00:05:27,400 Speaker 2: but you don't know their name, right, like those guys 85 00:05:27,440 --> 00:05:30,880 Speaker 2: like that one guy the Radar exactly there is in Ghost, 86 00:05:31,279 --> 00:05:32,599 Speaker 2: the Animal World. 87 00:05:32,839 --> 00:05:36,839 Speaker 1: He was in Ghost and he was in another movie 88 00:05:37,360 --> 00:05:39,279 Speaker 1: that guy. You know, yeah, that guy. I know what 89 00:05:39,320 --> 00:05:42,240 Speaker 1: you're talking that guy, that guy. Well, so this one 90 00:05:42,320 --> 00:05:46,200 Speaker 1: is amazing. So this is the ringtail cat and this 91 00:05:46,360 --> 00:05:53,680 Speaker 1: is found in Zion National Park. They're also found in Oregon, California, Nevada, Colorado, Texas, Arizona, 92 00:05:53,720 --> 00:05:58,440 Speaker 1: New Mexico, Oklahoma, Kansas, Baja California, and Mexico and dry 93 00:05:59,160 --> 00:06:04,400 Speaker 1: arid regions and Paulavia, I sent you, I sent you 94 00:06:04,640 --> 00:06:09,400 Speaker 1: a image of one of these little little guys. 95 00:06:09,800 --> 00:06:12,040 Speaker 2: I got it. Also side note, my dog is partly 96 00:06:12,200 --> 00:06:13,960 Speaker 2: crazy right now because the people just walk past the 97 00:06:13,960 --> 00:06:18,279 Speaker 2: window and he sensed it in his crate. So he 98 00:06:18,320 --> 00:06:21,000 Speaker 2: has a natural enemy of my apartment building and it's 99 00:06:21,040 --> 00:06:24,840 Speaker 2: other dogs. But these do these creatures, do these beautiful 100 00:06:25,000 --> 00:06:28,880 Speaker 2: cats have a natural enemy other than the president? 101 00:06:29,400 --> 00:06:34,039 Speaker 1: They they do. They actually can be preyed upon by 102 00:06:34,320 --> 00:06:40,120 Speaker 1: mountain lions, by by large birds of prey raptors. So 103 00:06:40,240 --> 00:06:44,480 Speaker 1: they are pretty. They can be pretty solitary and elusive 104 00:06:44,880 --> 00:06:48,520 Speaker 1: and shy. But they are actually even though they're called 105 00:06:48,600 --> 00:06:50,960 Speaker 1: ringtail cats, and they kind of look like a cat, 106 00:06:51,000 --> 00:06:55,760 Speaker 1: they look like a mix between like a cat and 107 00:06:55,800 --> 00:07:00,120 Speaker 1: maybe a mouse or a ferret with a long, fluffy 108 00:07:00,520 --> 00:07:02,520 Speaker 1: black and white striped tail. 109 00:07:02,839 --> 00:07:03,880 Speaker 2: They're really beautiful. 110 00:07:04,040 --> 00:07:05,400 Speaker 1: They're so gorgeous. 111 00:07:05,720 --> 00:07:07,679 Speaker 2: They're gorgeous, and they look really sweet. 112 00:07:08,320 --> 00:07:12,440 Speaker 1: They actually have a pretty nice disposition. Apparently they look 113 00:07:12,440 --> 00:07:14,559 Speaker 1: a little bit like, you know, the like in the 114 00:07:14,760 --> 00:07:19,280 Speaker 1: Avatar the Last Airbender cartoon, the Little guy Momo kind 115 00:07:19,280 --> 00:07:19,840 Speaker 1: of looks like that. 116 00:07:19,880 --> 00:07:22,520 Speaker 2: Actually, I still need to watch Avatar. 117 00:07:23,080 --> 00:07:23,680 Speaker 1: Wow. 118 00:07:24,160 --> 00:07:29,400 Speaker 2: Wow, its like on my list of like five no spoilers. Okay, 119 00:07:29,600 --> 00:07:32,480 Speaker 2: that's on you if you speak for me. Okay, I'm 120 00:07:32,560 --> 00:07:36,440 Speaker 2: still it only came out decades ago, but I'm I'm 121 00:07:36,480 --> 00:07:38,600 Speaker 2: literally That's one of the things where I have this 122 00:07:38,680 --> 00:07:41,120 Speaker 2: thing where I'm like, Okay, I feel like I lost 123 00:07:41,320 --> 00:07:44,160 Speaker 2: parts of big American pop culture just because of my 124 00:07:44,480 --> 00:07:47,520 Speaker 2: family or like what I experienced or whatever. So I 125 00:07:47,560 --> 00:07:49,840 Speaker 2: have like a list of like things that I go 126 00:07:50,120 --> 00:07:52,200 Speaker 2: that I'm like, Okay, I need this to relate to 127 00:07:52,240 --> 00:07:55,360 Speaker 2: other people. And now that I'm thinking that, it might 128 00:07:55,400 --> 00:07:59,320 Speaker 2: be neurodivergence, but I don't I don't know. 129 00:08:00,880 --> 00:08:04,560 Speaker 1: If I have that, but yeah, I'm gonna use I'm 130 00:08:04,560 --> 00:08:07,280 Speaker 1: going to use neurodivergence next time someone calls me out 131 00:08:07,320 --> 00:08:09,000 Speaker 1: on not knowing the lyrics to a song. I'm just 132 00:08:09,040 --> 00:08:10,440 Speaker 1: gonna be like, I'm neurodivergent. 133 00:08:10,600 --> 00:08:13,000 Speaker 2: I gotta I don't think. I don't think that's it. 134 00:08:13,160 --> 00:08:14,880 Speaker 2: I think it's like the fact that I'm like I 135 00:08:14,920 --> 00:08:17,440 Speaker 2: need to like write down things to relate to people 136 00:08:17,520 --> 00:08:20,040 Speaker 2: or to understand pop culture moments, like I need to 137 00:08:20,080 --> 00:08:23,960 Speaker 2: consume this as as research on the human subject, like 138 00:08:24,320 --> 00:08:25,040 Speaker 2: I do. 139 00:08:25,280 --> 00:08:27,120 Speaker 1: I am. I am going to use it as an excuse. 140 00:08:27,120 --> 00:08:29,120 Speaker 1: So I already use it as an excuse for parking 141 00:08:29,160 --> 00:08:31,440 Speaker 1: bad because I did read a study about people with 142 00:08:31,480 --> 00:08:37,840 Speaker 1: OCD not having as good spatial awareness. I do have OCD, 143 00:08:38,360 --> 00:08:40,360 Speaker 1: and so it's sorry. 144 00:08:40,360 --> 00:08:42,680 Speaker 2: I mean, it's not cool, but it's like to learn 145 00:08:42,760 --> 00:08:43,120 Speaker 2: about you. 146 00:08:43,480 --> 00:08:47,319 Speaker 1: It's very cool now. It wasn't cool when it was untreated, 147 00:08:47,360 --> 00:08:50,240 Speaker 1: but now it's it's a it's doing good. It gives 148 00:08:50,240 --> 00:08:56,120 Speaker 1: me a good excuse to like run into polls. But so, 149 00:08:56,440 --> 00:09:00,800 Speaker 1: the the ringtail cat, the cat back to the cat 150 00:09:01,240 --> 00:09:04,840 Speaker 1: actually not a cat, which you know, I could make 151 00:09:04,880 --> 00:09:07,720 Speaker 1: a joke about that driving my OCD crazy, but that's 152 00:09:07,760 --> 00:09:11,200 Speaker 1: not how it works. So the ringtail cats are not cats. 153 00:09:11,240 --> 00:09:16,400 Speaker 1: They're actually related to raccoons. Kuwaitis kinkajews and they're in 154 00:09:16,480 --> 00:09:21,640 Speaker 1: the Procyoniday family. So yeah, they're related to raccoons, not 155 00:09:21,640 --> 00:09:22,480 Speaker 1: not felines. 156 00:09:23,280 --> 00:09:26,680 Speaker 2: They look like a little raccoon ish liketit. The hands, 157 00:09:26,800 --> 00:09:29,920 Speaker 2: you gotta get the little hands like yeah, those rifle 158 00:09:29,960 --> 00:09:31,240 Speaker 2: through trash, you know what I mean. 159 00:09:31,559 --> 00:09:34,880 Speaker 1: They do have very agile little hands. They they're actually 160 00:09:34,880 --> 00:09:38,240 Speaker 1: their ankles can rotate one hundred and eighty degrees. What 161 00:09:39,120 --> 00:09:42,240 Speaker 1: they can clime trees, they. 162 00:09:42,120 --> 00:09:44,320 Speaker 2: Can be They're like exorcist hands. 163 00:09:44,440 --> 00:09:48,959 Speaker 1: They're kind of exorcist hands. Yeah, so technically the exorcist 164 00:09:48,960 --> 00:09:52,040 Speaker 1: doesn't isn't that three hundred and sixty degrees because. 165 00:09:51,800 --> 00:09:55,760 Speaker 2: It's all one hundred and eighty So it's not Although 166 00:09:55,760 --> 00:09:56,360 Speaker 2: they could I. 167 00:09:56,280 --> 00:09:58,840 Speaker 1: Think that means that they could open doors. So don't 168 00:09:58,840 --> 00:10:00,880 Speaker 1: get on you know, don't get on their bad. 169 00:10:00,760 --> 00:10:03,720 Speaker 2: Side, you know, honestly, it's our fault for inventing doors. 170 00:10:03,840 --> 00:10:07,160 Speaker 1: Well, it is our fault for inventing doors. I would 171 00:10:07,520 --> 00:10:10,000 Speaker 1: want there to be a B and E with one 172 00:10:10,000 --> 00:10:12,640 Speaker 1: of these little guys, one of these green tail cats, 173 00:10:12,679 --> 00:10:15,800 Speaker 1: because they're super cute, steal all my stuff. They actually 174 00:10:15,840 --> 00:10:18,400 Speaker 1: they have a little imask going on, but instead of 175 00:10:18,400 --> 00:10:20,679 Speaker 1: it being a black I mask like with raccoons, it's 176 00:10:20,679 --> 00:10:23,400 Speaker 1: a white ie mask and it's kind of converted. 177 00:10:24,040 --> 00:10:27,320 Speaker 2: The striping looks like raccoons. It does all making so 178 00:10:27,440 --> 00:10:28,000 Speaker 2: much sense. 179 00:10:28,200 --> 00:10:32,800 Speaker 1: Yes, they're extremely cute. They weigh only around one to 180 00:10:32,840 --> 00:10:36,040 Speaker 1: three pounds, that's only up to one and a half kilograms. 181 00:10:36,360 --> 00:10:39,880 Speaker 1: Their tails are as long as their bodies, if not longer, 182 00:10:40,040 --> 00:10:43,080 Speaker 1: so about a foot long or a little longer. 183 00:10:43,720 --> 00:10:46,520 Speaker 2: I know your audience is like, not the people I'm 184 00:10:46,559 --> 00:10:48,960 Speaker 2: talking about, and I know this is to like educate 185 00:10:49,000 --> 00:10:51,360 Speaker 2: people so that they value national parks. But I'm like 186 00:10:51,520 --> 00:10:53,480 Speaker 2: part of me with how cute these guys are, and 187 00:10:53,520 --> 00:10:56,720 Speaker 2: you're saying like they're more docile than other animals, I'm like, 188 00:10:56,760 --> 00:10:58,840 Speaker 2: we need to gate keep these because people are just 189 00:10:58,840 --> 00:11:01,439 Speaker 2: gonna go and mess with them, do you know what 190 00:11:01,520 --> 00:11:04,160 Speaker 2: I mean. I'm like, fortunately said those things. I was like, 191 00:11:04,240 --> 00:11:05,320 Speaker 2: let's protect them. 192 00:11:05,679 --> 00:11:09,040 Speaker 1: Yeah. Fortunately they're very shy and elusive, so they they're 193 00:11:09,080 --> 00:11:14,280 Speaker 1: actually relatively understudied because they managed to be very solitary. 194 00:11:14,559 --> 00:11:17,959 Speaker 1: But in terms of in terms of like people trying 195 00:11:18,000 --> 00:11:21,559 Speaker 1: to turn them into pets, I don't think they're a 196 00:11:21,600 --> 00:11:24,640 Speaker 1: big part of the pet trade right now. They might 197 00:11:24,679 --> 00:11:27,319 Speaker 1: be a bit. I think they can sometimes be victims 198 00:11:27,320 --> 00:11:29,520 Speaker 1: of the pet trade, which is not good. But they 199 00:11:29,520 --> 00:11:32,800 Speaker 1: were like, there was an interesting situation which was like 200 00:11:33,080 --> 00:11:38,040 Speaker 1: for miners like gold miners and other types of or 201 00:11:38,440 --> 00:11:44,079 Speaker 1: or minors not under eighteen, not a minor, no, no, exactly. 202 00:11:44,640 --> 00:11:47,480 Speaker 1: Not people who cannot order or drink at a bar legally, 203 00:11:47,800 --> 00:11:50,320 Speaker 1: but people who go in these can't. 204 00:11:50,480 --> 00:11:51,040 Speaker 2: No, I'm kidding. 205 00:11:51,160 --> 00:11:57,040 Speaker 1: These probably would love to drink some alcohol. They are omnivorous, 206 00:11:57,120 --> 00:11:59,480 Speaker 1: so they will eat or drink about anything they can 207 00:11:59,520 --> 00:12:03,440 Speaker 1: get their little pause on. But miners, gold miners, other 208 00:12:03,520 --> 00:12:06,120 Speaker 1: ore miners. I don't really know mining history in the 209 00:12:06,200 --> 00:12:09,600 Speaker 1: US except for gold mining because I lived in California 210 00:12:09,600 --> 00:12:11,800 Speaker 1: and our school system was like you're learning about gold. 211 00:12:12,880 --> 00:12:17,440 Speaker 1: But yeah, they would actually kind of quasi tame them, 212 00:12:17,520 --> 00:12:21,120 Speaker 1: so they would keep them near their camps and feed 213 00:12:21,160 --> 00:12:24,280 Speaker 1: them little pieces of food, and then they would hang 214 00:12:24,280 --> 00:12:27,560 Speaker 1: out in these mining camps and then like kill the 215 00:12:27,640 --> 00:12:29,760 Speaker 1: mice and the rats and eat them, and so they 216 00:12:29,840 --> 00:12:33,360 Speaker 1: kind of kept them like housecats. But the key thing 217 00:12:33,440 --> 00:12:37,440 Speaker 1: there was that because these were mining camps out in 218 00:12:37,559 --> 00:12:42,800 Speaker 1: the wild, right, they basically were allowed to roam around that. 219 00:12:42,840 --> 00:12:44,960 Speaker 1: It's not so much that they kept them in cages 220 00:12:45,040 --> 00:12:45,800 Speaker 1: or anything like that. 221 00:12:45,960 --> 00:12:49,640 Speaker 2: So they would just have like little hats with flashlights 222 00:12:49,679 --> 00:12:58,400 Speaker 2: on them. Yes, okay, I'm so little. 223 00:12:56,400 --> 00:12:58,760 Speaker 1: Overalls where one of the straps is kind of falling 224 00:12:58,800 --> 00:13:01,360 Speaker 1: off their shoulder and the little little you know, a 225 00:13:01,360 --> 00:13:06,160 Speaker 1: little bit. It's very cute. It's extremely cute. There. Arboreal 226 00:13:06,400 --> 00:13:10,040 Speaker 1: meaning they spend most of their time in trees. Uh, 227 00:13:10,080 --> 00:13:13,760 Speaker 1: and they are very adept climbers. Like I mentioned before, 228 00:13:13,760 --> 00:13:16,240 Speaker 1: they can climb trees really well. They can also climb 229 00:13:16,480 --> 00:13:19,480 Speaker 1: vertical rock walls, and they know how to climb up 230 00:13:19,480 --> 00:13:22,920 Speaker 1: a cactus without getting stuck with the thors. And they'll 231 00:13:22,920 --> 00:13:24,760 Speaker 1: happily eat prickly pear fruits. 232 00:13:24,800 --> 00:13:26,960 Speaker 2: So they are amazing. 233 00:13:27,320 --> 00:13:31,160 Speaker 1: Yeah, they're they're very they're very efficient in these like 234 00:13:31,320 --> 00:13:35,840 Speaker 1: are desert regions. If you're wondering what they sound like, 235 00:13:39,880 --> 00:13:40,520 Speaker 1: what's the matter? 236 00:13:42,559 --> 00:13:43,800 Speaker 2: Under distress? 237 00:13:44,480 --> 00:13:47,760 Speaker 1: He's he's fine. He's like on a roof someone's roof 238 00:13:47,920 --> 00:13:50,800 Speaker 1: and the person's like looking up at him and he's 239 00:13:50,880 --> 00:13:51,480 Speaker 1: kind of barking. 240 00:13:51,600 --> 00:13:54,480 Speaker 2: So you know, he's the one who's like, where you're going, buddy, 241 00:13:54,520 --> 00:13:56,920 Speaker 2: that's the that's. 242 00:13:56,200 --> 00:13:59,400 Speaker 1: The retail cago Like, where are you going? Buddy? Hey? 243 00:13:59,640 --> 00:14:00,960 Speaker 1: Hey are you going? 244 00:14:00,960 --> 00:14:02,319 Speaker 2: I got just some gold again. 245 00:14:04,000 --> 00:14:06,360 Speaker 1: So yeah, because of what I told you about them 246 00:14:06,679 --> 00:14:10,280 Speaker 1: having been sort of tamed by miners. They're also called 247 00:14:10,320 --> 00:14:14,160 Speaker 1: miners cats, and again, I'm really cute. I must emphasize 248 00:14:14,160 --> 00:14:17,400 Speaker 1: they are not cats, but yeah, they apparently had a 249 00:14:17,440 --> 00:14:20,880 Speaker 1: somewhat tamable disposition when they were bribed. But again, they 250 00:14:20,920 --> 00:14:24,840 Speaker 1: wouldn't make good pets in a domestic environment because they 251 00:14:24,880 --> 00:14:28,360 Speaker 1: need a lot of space. They're not super social animals either, Like, 252 00:14:28,400 --> 00:14:30,440 Speaker 1: they don't hang out with each other all that often. 253 00:14:30,840 --> 00:14:36,000 Speaker 1: They mostly hang out, uh, to groom each other or 254 00:14:36,040 --> 00:14:38,160 Speaker 1: to mate. 255 00:14:38,400 --> 00:14:40,720 Speaker 2: I feel I was until you said that last part. 256 00:14:40,760 --> 00:14:43,120 Speaker 2: I was like, I feel like in another life, I 257 00:14:43,120 --> 00:14:47,120 Speaker 2: would have been one of these guys. And then you 258 00:14:47,120 --> 00:14:49,120 Speaker 2: were like they each other and mate. I'm like, I'm 259 00:14:49,160 --> 00:14:53,560 Speaker 2: not cleaning somebody else. I'm all alone most of the time. 260 00:14:53,600 --> 00:14:56,400 Speaker 2: And then I just go clean somebody else. No, thank you. 261 00:14:56,720 --> 00:15:00,960 Speaker 1: I mean, yeah, I guess I'm I kind of like 262 00:15:01,040 --> 00:15:04,400 Speaker 1: that idea, just like hanging out eating, eating random stuff 263 00:15:04,440 --> 00:15:06,320 Speaker 1: and then getting your hair brushed by buddy. 264 00:15:07,320 --> 00:15:09,640 Speaker 2: It's like going to the salon for your Yeah, exactly. 265 00:15:09,800 --> 00:15:12,000 Speaker 1: I I'm one of I'm one of those freaks who 266 00:15:12,080 --> 00:15:15,120 Speaker 1: enjoys going to get my haircut because of the because 267 00:15:15,160 --> 00:15:19,600 Speaker 1: of the shampooing. Oh yeah. Yeah, I'm one of. 268 00:15:19,520 --> 00:15:24,440 Speaker 2: Those sometimes you need somebody else to do it. 269 00:15:24,800 --> 00:15:28,320 Speaker 1: I mean, it's it, it is. It's like, it's obviously 270 00:15:28,360 --> 00:15:30,600 Speaker 1: I can shampoo my own hair. 271 00:15:30,720 --> 00:15:32,200 Speaker 2: But whoa, whoa, whoa. 272 00:15:32,480 --> 00:15:35,720 Speaker 1: But stand when I have to get my hair cut 273 00:15:35,840 --> 00:15:39,800 Speaker 1: and they're like shampooing it. I'm like, you know, I 274 00:15:39,800 --> 00:15:44,240 Speaker 1: didn't realize how much better other people are at shampooing hair. 275 00:15:44,360 --> 00:15:47,800 Speaker 2: The angles, it's the angles, and then they use more 276 00:15:47,880 --> 00:15:51,160 Speaker 2: of their arm strength, right, you know, it's like a massage. 277 00:15:51,240 --> 00:15:52,280 Speaker 2: It's weird. 278 00:15:53,240 --> 00:15:55,520 Speaker 1: It's like they're ripping off parts of my scalp, but 279 00:15:55,600 --> 00:15:57,400 Speaker 1: in a good way and I like it. 280 00:15:57,480 --> 00:15:57,960 Speaker 2: Yeah. 281 00:15:58,000 --> 00:16:04,720 Speaker 1: So anyways, uh yeah, so they're uh, there have been. 282 00:16:04,880 --> 00:16:08,200 Speaker 1: Because they're so secretive. It's a little bit hard to 283 00:16:08,360 --> 00:16:14,000 Speaker 1: know too much about them because they they are elusive. 284 00:16:14,240 --> 00:16:17,760 Speaker 1: But there have been some more recent studies that aim 285 00:16:17,840 --> 00:16:21,160 Speaker 1: to learn more about them, including a collaboration between Oregon 286 00:16:21,200 --> 00:16:25,080 Speaker 1: State University, the hoop Up Valley Tribe, Penn State, and 287 00:16:25,200 --> 00:16:28,360 Speaker 1: cow Poly Humboldt. And some of the newer information that 288 00:16:28,360 --> 00:16:30,960 Speaker 1: they have about them is how they carefully select tree 289 00:16:31,000 --> 00:16:34,840 Speaker 1: hollows from older trees to take naps in uh to 290 00:16:34,880 --> 00:16:38,360 Speaker 1: stay safe from bad weather. And to occasionally groom each other. 291 00:16:39,080 --> 00:16:44,040 Speaker 1: They're cute. Yeah, it's very cute. They also sometimes make 292 00:16:44,080 --> 00:16:47,840 Speaker 1: their homes and abandoned mine shafts, which is it's like 293 00:16:48,120 --> 00:16:53,560 Speaker 1: they're not they're not acts, they're not beating the little 294 00:16:53,760 --> 00:16:59,800 Speaker 1: the cobald hobgoblin allegations. Oh my god. So yeah, because 295 00:17:00,120 --> 00:17:03,720 Speaker 1: because they're so dependent on trees, loss of habitats such 296 00:17:03,720 --> 00:17:08,280 Speaker 1: as old growth oak woodlands would threaten their population. Apparently, 297 00:17:08,320 --> 00:17:11,960 Speaker 1: this past year in Arizona, ringtails have been rescued at 298 00:17:12,040 --> 00:17:18,320 Speaker 1: higher rates due to suburban sprawl and hot weather. Because 299 00:17:18,359 --> 00:17:20,920 Speaker 1: they like nooks and crannies and trees, they'll sometimes try 300 00:17:20,960 --> 00:17:23,480 Speaker 1: to find the same resources in human structures, so they'll 301 00:17:23,520 --> 00:17:26,240 Speaker 1: get stuck in our attics, our walls, plumbing, our cars. 302 00:17:27,000 --> 00:17:32,840 Speaker 1: There's this article at kj's ez Phoenix with a photo 303 00:17:32,880 --> 00:17:36,760 Speaker 1: of the saddest little ringtail I've ever seen. He's damp 304 00:17:36,840 --> 00:17:39,120 Speaker 1: from being bathed a bunch of times because he got 305 00:17:39,160 --> 00:17:45,440 Speaker 1: stuck in a tortilla factory's oil transfer to No. Yeah, 306 00:17:45,480 --> 00:17:48,679 Speaker 1: he's just try and get some tortillas. He gots stuck. 307 00:17:49,480 --> 00:17:50,320 Speaker 2: He's so cute. 308 00:17:50,400 --> 00:17:52,840 Speaker 1: He's so cute. Apparently it was pretty touch and go 309 00:17:52,920 --> 00:17:56,280 Speaker 1: with him. He did survive, but they're like, yeah he has. 310 00:17:56,680 --> 00:18:00,200 Speaker 1: He was covered in tortilla grease and poor. 311 00:18:00,280 --> 00:18:04,440 Speaker 2: Okay you you and me too, brother, Okay. Some days 312 00:18:04,520 --> 00:18:08,160 Speaker 2: it's just like that, all right, and just. 313 00:18:10,400 --> 00:18:13,679 Speaker 1: You know, yeah, I mean it's it's very cute and 314 00:18:13,760 --> 00:18:16,680 Speaker 1: it's a very sad, funny little story and it's it's 315 00:18:16,760 --> 00:18:18,600 Speaker 1: it's good because it had a good ending because he 316 00:18:18,840 --> 00:18:21,359 Speaker 1: did get rescued, but it is it does emphasize the 317 00:18:21,359 --> 00:18:26,320 Speaker 1: importance that they keep their habitat because they just they 318 00:18:26,440 --> 00:18:29,120 Speaker 1: they they like go on a tube, right, thinking it's 319 00:18:29,160 --> 00:18:33,159 Speaker 1: gonna be a tree, and then it's full of tortilla grease, delicious, 320 00:18:33,280 --> 00:18:34,560 Speaker 1: deadly tortilla grease. 321 00:18:35,119 --> 00:18:37,240 Speaker 2: I worry, but I want your perspective. But I worry 322 00:18:37,240 --> 00:18:40,480 Speaker 2: about this so much. Like I've been seeing coyote coyotes 323 00:18:41,000 --> 00:18:45,240 Speaker 2: or yeah, coyotes in my neighborhood more, and I feel 324 00:18:45,280 --> 00:18:48,480 Speaker 2: like they're that urban sprawl thing where we're just like 325 00:18:48,560 --> 00:18:52,400 Speaker 2: impeding on their environment, is like really messing them up, 326 00:18:52,480 --> 00:18:55,160 Speaker 2: like and that's for sure for our pets. Like no, 327 00:18:55,240 --> 00:18:57,000 Speaker 2: I'm so worried about it. 328 00:18:57,000 --> 00:18:59,560 Speaker 1: It's it's very concerning, yeah, for sure. Like one of 329 00:18:59,560 --> 00:19:02,720 Speaker 1: the like coyotes are much more likely to go after 330 00:19:03,400 --> 00:19:06,760 Speaker 1: your pets, your little dogs or cats when they are 331 00:19:07,200 --> 00:19:10,399 Speaker 1: when they're when they don't have enough sort of ample 332 00:19:10,480 --> 00:19:15,040 Speaker 1: resources in their own habitat, enough rabbits and other rodents 333 00:19:15,119 --> 00:19:18,640 Speaker 1: to feed on, and then they'll come in and then 334 00:19:18,880 --> 00:19:21,399 Speaker 1: people like really hate them. But they're just you know, 335 00:19:21,520 --> 00:19:23,520 Speaker 1: they're just trying to they're just trying to live. They 336 00:19:23,520 --> 00:19:24,600 Speaker 1: don't they don't. 337 00:19:24,680 --> 00:19:26,920 Speaker 2: Make it in the city like the rest of us Acholizin, 338 00:19:27,280 --> 00:19:27,480 Speaker 2: you know. 339 00:19:28,040 --> 00:19:31,120 Speaker 1: They don't. I know that all one eating a beloved pet. 340 00:19:31,880 --> 00:19:34,080 Speaker 2: I saw one go after a cat. It didn't get it, 341 00:19:34,119 --> 00:19:36,480 Speaker 2: but I was like, we gotta get these cats off 342 00:19:36,480 --> 00:19:39,639 Speaker 2: the streets. And these coyotes, yeah, after their environment, Like 343 00:19:39,800 --> 00:19:40,720 Speaker 2: what is going on? 344 00:19:40,920 --> 00:19:46,159 Speaker 1: If coyotes live around you or birds, it's probably a 345 00:19:46,160 --> 00:19:50,000 Speaker 1: good idea to keep the kitties inside. I'm gonna say, hot, Yeah, 346 00:19:50,080 --> 00:19:53,640 Speaker 1: kitties they will be you can entertain them with attention. 347 00:19:54,280 --> 00:19:55,360 Speaker 1: They they will survive. 348 00:19:56,400 --> 00:20:00,200 Speaker 2: Also, like the you know how we're always like, oh, 349 00:20:00,240 --> 00:20:03,320 Speaker 2: humans weren't meant to see the Internet, Like our brains 350 00:20:03,359 --> 00:20:06,040 Speaker 2: aren't meant for this. I don't think the things that 351 00:20:06,080 --> 00:20:09,240 Speaker 2: we've done to animals, like the animals' brains aren't meant 352 00:20:09,240 --> 00:20:12,439 Speaker 2: to meet each other, you know, like like some of 353 00:20:12,480 --> 00:20:15,680 Speaker 2: these creatures are not meant to interact ever, and they do, 354 00:20:15,760 --> 00:20:17,479 Speaker 2: and they're like, do I eat this? 355 00:20:17,720 --> 00:20:20,919 Speaker 1: What is this? You know? Yeah? Crazy? No, absolutely, And 356 00:20:20,960 --> 00:20:26,000 Speaker 1: I mean obviously it also increases chance of zoonotic diseases 357 00:20:26,440 --> 00:20:29,679 Speaker 1: jumping from species to species. Yet it's very it's incredibly 358 00:20:29,680 --> 00:20:34,840 Speaker 1: important to maintain and preserve the habitats of these animals both. 359 00:20:35,000 --> 00:20:37,600 Speaker 1: I mean there's a lot of reasons. Number one, they 360 00:20:37,600 --> 00:20:42,040 Speaker 1: are devastatingly cute. Look this little guy and the eyes all. 361 00:20:42,080 --> 00:20:47,200 Speaker 1: I'll provide the pictures in the show, the little one 362 00:20:47,240 --> 00:20:51,040 Speaker 1: that got stuck in the tortilla factory grease trap, Like 363 00:20:51,320 --> 00:20:53,520 Speaker 1: he's so sad. 364 00:20:55,040 --> 00:21:01,120 Speaker 2: And makes his eyes look bigger. Yeah, boots picture where 365 00:21:01,240 --> 00:21:02,760 Speaker 2: like they z into the eyes. 366 00:21:02,960 --> 00:21:06,720 Speaker 1: Sorry this out. Send it to your congress person and say, really, 367 00:21:06,760 --> 00:21:10,200 Speaker 1: we're getting rid of National Park staff when these little 368 00:21:10,240 --> 00:21:12,720 Speaker 1: guys are getting stuck in tortilla factories. 369 00:21:13,800 --> 00:21:16,560 Speaker 2: But it's the congress people will immediately try to make 370 00:21:16,600 --> 00:21:18,800 Speaker 2: them pets. I'm just like so cynical. 371 00:21:20,520 --> 00:21:23,000 Speaker 1: I thought you were gonna say, like Corrolla de Ville 372 00:21:23,040 --> 00:21:23,920 Speaker 1: style like that. 373 00:21:24,119 --> 00:21:28,000 Speaker 2: Too is going to walk around with these fringing boots 374 00:21:28,080 --> 00:21:31,080 Speaker 2: on with these tails just. 375 00:21:31,040 --> 00:21:35,720 Speaker 1: Like just like a oh god, yeah, you know, well 376 00:21:36,520 --> 00:21:40,720 Speaker 1: they're ghoules, but hey, there are still good people out 377 00:21:40,720 --> 00:21:46,320 Speaker 1: there rescuing these these little ringtail cats from tortilla factories. 378 00:21:46,600 --> 00:21:48,120 Speaker 1: So we're going to take a quick break and when 379 00:21:48,119 --> 00:21:52,720 Speaker 1: we get back, we're going to talk about another fantastic 380 00:21:52,920 --> 00:21:57,520 Speaker 1: animal that you can find in the national parks. So 381 00:21:57,800 --> 00:22:01,160 Speaker 1: pull a b We're talking about big horn and thin 382 00:22:01,240 --> 00:22:06,160 Speaker 1: horn sheep. Uh. These are one of the bigger animals 383 00:22:06,160 --> 00:22:11,479 Speaker 1: that you can find in North American national parks, and 384 00:22:11,520 --> 00:22:14,679 Speaker 1: they are pretty incredible. So there are two species of 385 00:22:14,800 --> 00:22:18,400 Speaker 1: mountain sheep, the big horn sheep and then the thin 386 00:22:18,520 --> 00:22:22,680 Speaker 1: horn or doll sheep, and they're both really beautiful animals. 387 00:22:22,880 --> 00:22:23,800 Speaker 2: So majestic. 388 00:22:24,040 --> 00:22:27,560 Speaker 1: They are so majestic that they're they're like very iconic. 389 00:22:28,960 --> 00:22:32,640 Speaker 1: The big horn sheep have the males have these incredible, 390 00:22:33,080 --> 00:22:36,200 Speaker 1: like what do you think horns on their heads that 391 00:22:36,400 --> 00:22:40,760 Speaker 1: are massive and heavy. So, uh, first I'll talk a 392 00:22:40,800 --> 00:22:44,960 Speaker 1: little bit about the doll sheep. They are found in 393 00:22:45,000 --> 00:22:47,960 Speaker 1: the Dnali National Park in the US. They're also found 394 00:22:48,000 --> 00:22:49,160 Speaker 1: in Canada and Nali. 395 00:22:49,840 --> 00:22:51,320 Speaker 2: Yeah, keeping the name. 396 00:22:51,359 --> 00:22:56,040 Speaker 1: You know what, I have a very selfishly sentimental connection 397 00:22:56,119 --> 00:22:59,199 Speaker 1: to the name Danali, which is this is this is 398 00:22:59,280 --> 00:23:02,520 Speaker 1: super like when I was a little kid, there was 399 00:23:02,560 --> 00:23:05,000 Speaker 1: an ice cream called Denali. I was like, why is 400 00:23:05,040 --> 00:23:09,199 Speaker 1: it called Denali? Because it was super good? And then 401 00:23:09,240 --> 00:23:11,320 Speaker 1: I like looked up it was like, oh, it's like 402 00:23:11,440 --> 00:23:14,760 Speaker 1: named after these beautiful mountains, and it was just like 403 00:23:15,280 --> 00:23:17,719 Speaker 1: and then so I would like imagine that I was 404 00:23:17,760 --> 00:23:21,320 Speaker 1: like in the mountains eating this ice cream. So it's like, 405 00:23:21,760 --> 00:23:24,639 Speaker 1: you know, you will pry that name out of my 406 00:23:25,640 --> 00:23:29,520 Speaker 1: cold dead hands. Also because it's you know, it's grotesque 407 00:23:29,560 --> 00:23:32,840 Speaker 1: to try to rename it, uh, because that's that's the 408 00:23:32,880 --> 00:23:33,600 Speaker 1: original name. 409 00:23:33,720 --> 00:23:37,800 Speaker 2: And from I know, you're not gonna eat McKinley ice cream. Ew, 410 00:23:37,920 --> 00:23:41,200 Speaker 2: that's not disgusting. It tastes like cardboard. 411 00:23:41,320 --> 00:23:45,560 Speaker 1: Okay, it's like it's just got like little shriveled cherries 412 00:23:45,600 --> 00:23:50,480 Speaker 1: in it and nonsense and whole peanuts with the shells on. 413 00:23:50,600 --> 00:23:55,640 Speaker 1: It's discussed. Oh my god, Yeah, McKinley ice cream ice cream? No, yeah, no, 414 00:23:55,680 --> 00:23:58,200 Speaker 1: So it's not in National Park. They're also found in Canada, Alaska, 415 00:23:58,240 --> 00:24:00,000 Speaker 1: and they tend to be in the sort of more 416 00:24:00,080 --> 00:24:04,080 Speaker 1: old regions, although big horn sheep also can survive in 417 00:24:04,119 --> 00:24:07,480 Speaker 1: the cold, and they can have their coat can change 418 00:24:07,480 --> 00:24:13,320 Speaker 1: from being very thin to being fluffy depending on seasonal changes. 419 00:24:13,920 --> 00:24:16,760 Speaker 1: Big horn sheep are found in a variety of national parks, 420 00:24:16,760 --> 00:24:20,760 Speaker 1: such as Yellowstone in Wyoming, Montana, and Idaho. They're found 421 00:24:20,840 --> 00:24:24,280 Speaker 1: in Zion National Park in Utah. They're found in the 422 00:24:24,280 --> 00:24:30,280 Speaker 1: Oehe Canyonlands in Idaho and Oregon, in Hell's Canyon in Washington, 423 00:24:30,320 --> 00:24:33,280 Speaker 1: Oregon and Idaho, in the bad Lands National Park in 424 00:24:33,320 --> 00:24:37,399 Speaker 1: South Dakota, in the Desert National Wildlife Refuge in Nevada, 425 00:24:37,720 --> 00:24:42,399 Speaker 1: which was specifically created to protect big horn sheep, and 426 00:24:42,440 --> 00:24:46,800 Speaker 1: they're also found in Mueller Ranch in Colorado. You can 427 00:24:46,840 --> 00:24:50,440 Speaker 1: even find a desert big horn sheep in the Sierras 428 00:24:50,480 --> 00:24:57,680 Speaker 1: in California. These are just super They're iconic for America. 429 00:24:57,720 --> 00:25:00,159 Speaker 1: They're found everywhere in these national park. 430 00:25:00,920 --> 00:25:04,199 Speaker 2: I one thousand percent get why people would worship like 431 00:25:04,280 --> 00:25:06,800 Speaker 2: a like a goat looking god, you know what I mean. 432 00:25:07,600 --> 00:25:10,360 Speaker 2: They're so impressive, they're so majestic. 433 00:25:11,119 --> 00:25:14,679 Speaker 1: They look like they have seen the universe, you know 434 00:25:14,720 --> 00:25:17,720 Speaker 1: what I mean. Then those weird little eyes of theirs. 435 00:25:18,680 --> 00:25:20,880 Speaker 2: And then it looks like their horns like have their 436 00:25:21,080 --> 00:25:22,960 Speaker 2: like their intelligence stored in them. 437 00:25:23,080 --> 00:25:24,960 Speaker 1: You know, yes, they do have a little bit of 438 00:25:25,040 --> 00:25:28,800 Speaker 1: the It almost kind of looks like the Twilight's from 439 00:25:29,240 --> 00:25:32,800 Speaker 1: Star Wars, you know what I mean. I think that's 440 00:25:32,800 --> 00:25:37,520 Speaker 1: what they're named, the ones with things that Ye Anyway. 441 00:25:37,240 --> 00:25:39,040 Speaker 2: That's probably where they got it from with these guys, 442 00:25:39,080 --> 00:25:40,000 Speaker 2: because they were everywhere. 443 00:25:40,320 --> 00:25:43,040 Speaker 1: I think the bighorn sheep might be getting sued by 444 00:25:43,040 --> 00:25:44,359 Speaker 1: Disney pretty soon here. 445 00:25:44,880 --> 00:25:48,639 Speaker 2: Uh, probably we've got to protect bighorn sheep from little 446 00:25:48,680 --> 00:25:50,960 Speaker 2: litigationious Disney. 447 00:25:51,480 --> 00:25:55,240 Speaker 1: So bighorn sheep are related to sheep and goats and 448 00:25:55,600 --> 00:25:59,879 Speaker 1: thank god, yeah this is I tossed in two animals 449 00:26:00,119 --> 00:26:03,199 Speaker 1: or who have deceptive names, but this one, fortunately the 450 00:26:03,280 --> 00:26:08,120 Speaker 1: name does fit. So a male's horns are roughly ten 451 00:26:08,200 --> 00:26:12,560 Speaker 1: percent of their body weight, okay, and they weigh over 452 00:26:12,640 --> 00:26:16,960 Speaker 1: three hundred pounds or about that's the whole sheet. Not 453 00:26:17,040 --> 00:26:19,600 Speaker 1: that the horns aren't three hundred pounds yeah, yeah, that 454 00:26:19,640 --> 00:26:24,400 Speaker 1: would be incredible shit. But apparently their horns weigh as 455 00:26:24,480 --> 00:26:28,199 Speaker 1: much as all their other bones combined, like their entire skeleton. 456 00:26:28,400 --> 00:26:29,520 Speaker 2: That is crazy. 457 00:26:29,720 --> 00:26:33,200 Speaker 1: So it's like imagine like wearing a whole other your 458 00:26:33,320 --> 00:26:34,960 Speaker 1: skeleton on your head. 459 00:26:35,800 --> 00:26:39,520 Speaker 2: This feels like a kim Kardashian level of uncomfortable outfit 460 00:26:39,600 --> 00:26:41,560 Speaker 2: at the met gala. You know what I mean. Yeah, 461 00:26:41,600 --> 00:26:44,240 Speaker 2: Like these guys are really putting everything into their horns. 462 00:26:44,280 --> 00:26:46,720 Speaker 2: They don't care how uncomfortable it is to carry them. 463 00:26:47,040 --> 00:26:47,920 Speaker 2: They're all about it. 464 00:26:48,280 --> 00:26:51,320 Speaker 1: I do actually like wearing a head piece that's an 465 00:26:51,560 --> 00:26:56,320 Speaker 1: entire human skeleton would be kind of dope, like, especially if. 466 00:26:56,320 --> 00:26:59,600 Speaker 2: That would actually be more Lady Gaga I think, right anybody. 467 00:26:59,560 --> 00:27:02,480 Speaker 1: Especially if it's like modeled after your own skeleton. That's 468 00:27:02,520 --> 00:27:06,800 Speaker 1: like a real like fierce memento moriy, like really owning it, 469 00:27:07,000 --> 00:27:10,600 Speaker 1: like look what's inside, This is what's inside me, and 470 00:27:10,640 --> 00:27:15,600 Speaker 1: I'm wearing it on my head. Anyways, youse also have horns, 471 00:27:15,600 --> 00:27:17,840 Speaker 1: so use our female big horn sheep. 472 00:27:18,160 --> 00:27:20,639 Speaker 2: But they're sure that you were just getting into like 473 00:27:20,680 --> 00:27:24,760 Speaker 2: an accent. Like youse also have hornsuse. 474 00:27:23,920 --> 00:27:29,720 Speaker 1: Guys, I'm just a mobster from Chicago. Uh No, they 475 00:27:29,800 --> 00:27:32,439 Speaker 1: also have horns, but they're they're smaller and thinner. The 476 00:27:32,480 --> 00:27:36,720 Speaker 1: reason males have the giant horns sexus. It's sexism for sure. 477 00:27:36,760 --> 00:27:42,600 Speaker 1: It's literally sexual selection. The females are attracted to the 478 00:27:42,600 --> 00:27:45,359 Speaker 1: big horns, and also they use them in contests with 479 00:27:45,440 --> 00:27:48,200 Speaker 1: other males to fight for the right to mate, so 480 00:27:48,240 --> 00:27:51,720 Speaker 1: they'll like, you know, bonk each other with the horns. 481 00:27:51,840 --> 00:27:54,320 Speaker 2: Or just human males should also hit each other in 482 00:27:54,359 --> 00:27:54,720 Speaker 2: the head. 483 00:27:55,160 --> 00:27:57,720 Speaker 1: Yeah, you know what, like just run out each other 484 00:27:58,080 --> 00:28:03,480 Speaker 1: and just massive head bonk uh and and we'll like 485 00:28:03,640 --> 00:28:07,320 Speaker 1: flutter our little fans and like judge you uh I 486 00:28:07,440 --> 00:28:13,480 Speaker 1: like that idea. So uh yeah, they're very They're adept climbers. 487 00:28:13,480 --> 00:28:17,399 Speaker 1: They can scale relatively sheer cliff faces, allowing them to 488 00:28:17,520 --> 00:28:20,520 Speaker 1: escape predator. They're very agile for being such big animals 489 00:28:20,520 --> 00:28:26,240 Speaker 1: and so top heavy. They are surprisingly very very adept, 490 00:28:26,320 --> 00:28:28,240 Speaker 1: very graystile climbers. 491 00:28:28,920 --> 00:28:31,280 Speaker 2: Are these like the ones that you see at like 492 00:28:31,359 --> 00:28:34,560 Speaker 2: the Hoover Dam, just like scaling like the side of 493 00:28:34,600 --> 00:28:35,959 Speaker 2: the or those like goats. 494 00:28:36,040 --> 00:28:39,800 Speaker 1: Those might be mountain goats, but let me check Hoover Dam. 495 00:28:40,240 --> 00:28:41,800 Speaker 2: I don't know if it's like the Hoover you know 496 00:28:41,840 --> 00:28:43,040 Speaker 2: what I mean, like they. 497 00:28:42,920 --> 00:28:46,880 Speaker 1: Close a mountains, those are those are goat? I believe 498 00:28:46,920 --> 00:28:52,200 Speaker 1: those are mountain goats or let me dam Hoover Yeah, 499 00:28:52,240 --> 00:28:57,240 Speaker 1: I know, I like them. Uh, but yeah, mountain goats 500 00:28:57,280 --> 00:29:02,080 Speaker 1: at the Hoover Dam. That's that might be what those are, 501 00:29:02,120 --> 00:29:08,360 Speaker 1: but there might be but yeah, bighorn sheep are near 502 00:29:08,480 --> 00:29:10,560 Speaker 1: the Hoover Dam. You might see them near there. They 503 00:29:10,640 --> 00:29:12,640 Speaker 1: might scale it a little bit, but the ones that 504 00:29:12,720 --> 00:29:17,360 Speaker 1: can really like get up a dam like get Like. 505 00:29:17,520 --> 00:29:20,640 Speaker 1: Mountain goats are actually really cool. They're related to big 506 00:29:20,680 --> 00:29:25,760 Speaker 1: horn sheep. But mountain goats are not just good climbers. 507 00:29:25,880 --> 00:29:29,920 Speaker 1: They seem to defy gravity. They can hook onto nearly 508 00:29:30,240 --> 00:29:35,719 Speaker 1: completely vertical sheer cliff faces, and their little hooves just 509 00:29:35,760 --> 00:29:39,719 Speaker 1: like fit right on there, and it is it is incredible. 510 00:29:40,120 --> 00:29:42,479 Speaker 2: I think the impressive part is that they aren't scared, 511 00:29:42,480 --> 00:29:44,080 Speaker 2: because I would be like, I would be the mountain 512 00:29:44,080 --> 00:29:48,520 Speaker 2: goat that's like shaking up there. I'd be like, oh, 513 00:29:48,640 --> 00:29:50,800 Speaker 2: you guys, But all of them are just like munching 514 00:29:50,880 --> 00:29:51,360 Speaker 2: on food. 515 00:29:51,480 --> 00:29:54,080 Speaker 1: It helps to have a small brain. I think, like 516 00:29:54,120 --> 00:29:56,560 Speaker 1: when you have a brain that's big enough to contemplate 517 00:29:56,680 --> 00:29:59,320 Speaker 1: sort of physics, like you start to get worried. But 518 00:29:59,360 --> 00:30:01,560 Speaker 1: then when you're when you have mountain goat brain and 519 00:30:01,600 --> 00:30:03,960 Speaker 1: you're like, I see grass up there, do do do? 520 00:30:04,080 --> 00:30:06,520 Speaker 1: Do do do, and then you just don't think about 521 00:30:06,920 --> 00:30:09,560 Speaker 1: sort of the wid like it's like the wily kayote thing, 522 00:30:09,720 --> 00:30:13,480 Speaker 1: like yeah, wiley coyote where It's like, if you don't 523 00:30:13,480 --> 00:30:16,120 Speaker 1: look down and you don't realize you're supposed to fall, 524 00:30:16,360 --> 00:30:22,040 Speaker 1: physics just bends to your stupid will. So that's that, 525 00:30:22,320 --> 00:30:24,680 Speaker 1: I know. That's I always whenever I saw the wily 526 00:30:24,760 --> 00:30:28,040 Speaker 1: coyote thing, it's like, well, if he just like keeps 527 00:30:28,200 --> 00:30:31,080 Speaker 1: thinking he won't fall, then he won't fall. 528 00:30:31,240 --> 00:30:34,120 Speaker 2: So, oh my god, that's such a wonderful moral that 529 00:30:34,680 --> 00:30:36,480 Speaker 2: coyote taught children. 530 00:30:36,280 --> 00:30:39,080 Speaker 1: Right, I used to. I tried the wily coyote thing. 531 00:30:39,120 --> 00:30:41,880 Speaker 1: I thought if I like jumped off of like uh 532 00:30:41,920 --> 00:30:45,680 Speaker 1: the like stairsteps and but didn't look down, maybe I 533 00:30:45,720 --> 00:30:47,600 Speaker 1: would have her in mid air. But it didn't work. 534 00:30:48,520 --> 00:30:55,400 Speaker 1: I try to find gravity, Oh boy. I also tried 535 00:30:55,400 --> 00:30:57,520 Speaker 1: to hold an umbrella up and see if that would 536 00:30:57,560 --> 00:30:59,720 Speaker 1: help me slow down, but it didn't do. 537 00:30:59,680 --> 00:31:01,960 Speaker 2: You know what, the most cartoonish thing I ever did. 538 00:31:02,000 --> 00:31:05,160 Speaker 2: I was born in Texas and we. 539 00:31:05,360 --> 00:31:07,320 Speaker 1: Had already pretty cartoonish but go. 540 00:31:07,360 --> 00:31:10,480 Speaker 2: Pretty cartoonish, I know, but we had these like big 541 00:31:10,560 --> 00:31:13,719 Speaker 2: fields up front, like I have just like the weirdest memory. 542 00:31:13,760 --> 00:31:16,120 Speaker 2: I was literally like two probably, so it's like probably 543 00:31:16,120 --> 00:31:18,520 Speaker 2: one of my first memories. And like me and my 544 00:31:18,600 --> 00:31:21,479 Speaker 2: brother and the neighbor kids we would take like like 545 00:31:21,640 --> 00:31:25,120 Speaker 2: flat cardboard boxes and hold them up above our heads 546 00:31:25,160 --> 00:31:27,640 Speaker 2: to get make the wind pick us up yep, and 547 00:31:27,760 --> 00:31:29,960 Speaker 2: like I would. I was the one who would fly 548 00:31:30,040 --> 00:31:31,840 Speaker 2: the farthest because I was the smallest one. I was 549 00:31:31,880 --> 00:31:35,520 Speaker 2: like literally too, I was like, that is That's the 550 00:31:35,560 --> 00:31:37,360 Speaker 2: most cartoonish shit I've ever done. 551 00:31:37,640 --> 00:31:41,280 Speaker 1: That's amazing. I would give anything to see a two 552 00:31:41,320 --> 00:31:44,440 Speaker 1: year old just getting launched into the air by cardboard. 553 00:31:45,240 --> 00:31:47,440 Speaker 1: I know that sounds you got some sick air, and 554 00:31:47,480 --> 00:31:52,800 Speaker 1: that sounds amazing. So yeah, bighorn sheep teach us a 555 00:31:52,800 --> 00:31:56,560 Speaker 1: lot about the importance of conservation. They almost died out 556 00:31:56,600 --> 00:32:00,480 Speaker 1: completely in the nineteen hundreds due to over hunting and disease. 557 00:32:00,600 --> 00:32:05,120 Speaker 1: Their populations dwindled to just like around one thousand, but 558 00:32:05,160 --> 00:32:08,800 Speaker 1: they made a miraculous comeback did to the national park 559 00:32:08,920 --> 00:32:14,600 Speaker 1: system and conservation efforts, and now big horn sheep populations 560 00:32:14,720 --> 00:32:17,920 Speaker 1: are used as signals for the overall health of the environment. 561 00:32:18,240 --> 00:32:23,360 Speaker 1: They're highly responses. They're highly responsive to environmental changes such 562 00:32:23,360 --> 00:32:27,840 Speaker 1: as like say, if you have too much fire suppression, 563 00:32:27,960 --> 00:32:31,240 Speaker 1: say in a national park, not enough wildfires, they actually 564 00:32:31,280 --> 00:32:35,040 Speaker 1: get preyed upon more because you have more bushy scrub 565 00:32:35,560 --> 00:32:39,200 Speaker 1: that predators like bears, wolves or mountain lions can use 566 00:32:39,280 --> 00:32:44,160 Speaker 1: as coverage to ambush the bighorn sheep. So it's really interesting. 567 00:32:44,200 --> 00:32:50,440 Speaker 2: I also use bushy scrub as coverage. Okay, whoa, whoa, 568 00:32:51,000 --> 00:32:55,600 Speaker 2: whoa cooglar over here? 569 00:32:56,440 --> 00:33:04,880 Speaker 1: Meow? All right? Well side uh the yes angela Mrkin 570 00:33:05,000 --> 00:33:14,480 Speaker 1: the former German chancellor uh merkele uh uh so yeah, 571 00:33:14,600 --> 00:33:19,200 Speaker 1: so it shows how the there's a delicate balance, right, Like, 572 00:33:19,240 --> 00:33:22,720 Speaker 1: so sometimes we use fire suppression tactics, right because hey, 573 00:33:22,760 --> 00:33:24,640 Speaker 1: you don't want stuff to be on fire, But then 574 00:33:24,680 --> 00:33:27,360 Speaker 1: when you do it too much, then you have overgrowth 575 00:33:27,400 --> 00:33:30,760 Speaker 1: of scrub, and then that affects the population of these 576 00:33:30,800 --> 00:33:34,920 Speaker 1: bighorn sheep because predators have more spots to hideen. Conversely, 577 00:33:35,080 --> 00:33:38,280 Speaker 1: if you have too much fire, then predators don't have 578 00:33:38,400 --> 00:33:41,000 Speaker 1: enough spots to hiden, and then the predators suffer. Right, 579 00:33:41,040 --> 00:33:44,200 Speaker 1: It's not all about like thwarting the predators. The predator's 580 00:33:44,280 --> 00:33:46,240 Speaker 1: populations are super important as well. 581 00:33:47,240 --> 00:33:49,480 Speaker 2: I mean, I don't want no scrubs because a scrub 582 00:33:49,560 --> 00:33:53,400 Speaker 2: is a guy, get no love for me. So I 583 00:33:53,440 --> 00:33:55,320 Speaker 2: feel like those are predators, you know. 584 00:33:55,640 --> 00:34:01,160 Speaker 1: Yeah, there you go, there you go. So uh yeah, 585 00:34:01,200 --> 00:34:05,760 Speaker 1: I mean it is. It's really important. Also, the thin 586 00:34:05,880 --> 00:34:09,279 Speaker 1: horn sheep that I mentioned earlier also an indicator species 587 00:34:09,360 --> 00:34:13,640 Speaker 1: because they live in colder climates, like in high altitudes. 588 00:34:13,920 --> 00:34:19,080 Speaker 1: Climate change affects colder climates pretty significantly because you suddenly 589 00:34:19,080 --> 00:34:22,920 Speaker 1: get these big shifts and vegetation. So the behavior and 590 00:34:23,000 --> 00:34:28,520 Speaker 1: population changes in thin horn sheep are indicators of overall 591 00:34:28,640 --> 00:34:32,240 Speaker 1: environmental health. So they're called an indicator species. Really important 592 00:34:32,239 --> 00:34:35,160 Speaker 1: to track them, and in order to track them you 593 00:34:35,320 --> 00:34:41,839 Speaker 1: need staff at national parks. So yeah, I think it's 594 00:34:41,960 --> 00:34:46,120 Speaker 1: just like in the same way that I'm going to do. 595 00:34:46,880 --> 00:34:49,440 Speaker 1: I promise you this is a metaphor that makes sense 596 00:34:50,239 --> 00:34:52,000 Speaker 1: in the same way that like we have to I'm 597 00:34:52,040 --> 00:34:56,880 Speaker 1: here for now. Now I don't write opinion columns for 598 00:34:56,920 --> 00:35:01,319 Speaker 1: The New York Times. My metaphors make sense. But the 599 00:35:01,360 --> 00:35:04,080 Speaker 1: way in which like our environment works, right, Like if 600 00:35:04,120 --> 00:35:08,960 Speaker 1: you pull out a species or or affect a population 601 00:35:09,360 --> 00:35:12,319 Speaker 1: and then it has this Janga tower effect of like 602 00:35:12,920 --> 00:35:17,040 Speaker 1: affecting everything in that chain. Like it's a similar situation 603 00:35:17,160 --> 00:35:19,360 Speaker 1: with the way that like, okay, if you just fire 604 00:35:19,400 --> 00:35:23,240 Speaker 1: a bunch of park rangers, you know, without thought, without 605 00:35:23,320 --> 00:35:25,120 Speaker 1: any I mean, you should never just fire a bunch 606 00:35:25,160 --> 00:35:29,000 Speaker 1: of park rangers because they're awesome, but also like all 607 00:35:29,000 --> 00:35:31,840 Speaker 1: the things that they do, all the all the important 608 00:35:31,840 --> 00:35:35,280 Speaker 1: functions that they do to like keep uh, the national 609 00:35:35,320 --> 00:35:40,239 Speaker 1: parks functioning. It's we're probably not gonna like immediately see 610 00:35:40,280 --> 00:35:43,040 Speaker 1: the impacts, but we're gonna see them, and they will 611 00:35:43,040 --> 00:35:45,719 Speaker 1: not be good in the same way that say, like 612 00:35:45,960 --> 00:35:50,120 Speaker 1: if you if there's too much wildfire or too little wildfire, 613 00:35:50,160 --> 00:35:54,120 Speaker 1: you'll see these like fluctuations or population crashes happening in 614 00:35:54,200 --> 00:35:58,480 Speaker 1: these these magnificent animals. So you know, that's that's my metaphor. 615 00:35:58,560 --> 00:36:03,000 Speaker 1: The the ecosystem of animals is similar to the ecosystem 616 00:36:03,239 --> 00:36:08,080 Speaker 1: of federal workers, and I am very concerned about it. 617 00:36:08,080 --> 00:36:10,440 Speaker 2: It's also a thing where like you don't see the 618 00:36:10,440 --> 00:36:13,399 Speaker 2: effects right away, so then people will blame like if 619 00:36:13,400 --> 00:36:18,480 Speaker 2: there is an next administration, a next administration, rather than 620 00:36:18,560 --> 00:36:21,560 Speaker 2: like realizing that cause and effect takes it like a minute. 621 00:36:21,640 --> 00:36:21,840 Speaker 2: You know. 622 00:36:21,960 --> 00:36:27,560 Speaker 1: Yeah, yeah, yeah, it's it's it really frustrates me. It's 623 00:36:27,640 --> 00:36:33,640 Speaker 1: it's very infuriating. But yeah, uh, you know, maybe we 624 00:36:33,760 --> 00:36:38,520 Speaker 1: should take the a key a que a clue. Maybe 625 00:36:38,520 --> 00:36:41,359 Speaker 1: we should take advice from the big horn sheep and 626 00:36:41,440 --> 00:36:45,640 Speaker 1: just grow massive horns. On our head and start headbutting everyone. 627 00:36:45,920 --> 00:36:47,480 Speaker 1: We're going to take a quick break, and when we 628 00:36:47,520 --> 00:36:50,560 Speaker 1: get back, we're going to talk about a little critter 629 00:36:50,600 --> 00:36:57,480 Speaker 1: who has a bioweapon. All right, So, uh, I don't 630 00:36:57,520 --> 00:37:01,759 Speaker 1: want to cause the United States to try to do 631 00:37:01,880 --> 00:37:06,239 Speaker 1: an invasion of national parks. However, it is true that 632 00:37:06,280 --> 00:37:10,799 Speaker 1: there is an animal that does have a bioweapon. 633 00:37:11,560 --> 00:37:19,040 Speaker 2: It's me, Twist, it's me quick, tell the FBI ah 634 00:37:19,080 --> 00:37:19,760 Speaker 2: on my phone. 635 00:37:20,239 --> 00:37:24,480 Speaker 1: Yeah, oh he's been fired. So you know the horn 636 00:37:24,600 --> 00:37:28,920 Speaker 1: lizard also known as the horny toad, which is a 637 00:37:29,000 --> 00:37:33,319 Speaker 1: pretty bad name. Yeah, they're not toads, so they're not. 638 00:37:33,400 --> 00:37:36,719 Speaker 2: The whole time, I thought they were two different First 639 00:37:36,719 --> 00:37:39,440 Speaker 2: I thought they were two different things. No, and then 640 00:37:39,560 --> 00:37:42,879 Speaker 2: so they named Okay, is it scientists naming these things 641 00:37:42,920 --> 00:37:45,359 Speaker 2: because we have to do better? To do better? 642 00:37:45,440 --> 00:37:48,799 Speaker 1: I mean, I think scientists named them horned lizard to 643 00:37:49,280 --> 00:37:51,600 Speaker 1: clarify it. But they used to be called horny toads 644 00:37:51,640 --> 00:37:54,040 Speaker 1: because people didn't know the difference. 645 00:37:54,200 --> 00:37:57,839 Speaker 2: Okay, Well, I think we need to take the ornithologists 646 00:37:57,880 --> 00:38:01,160 Speaker 2: that study birds. We need to take the people, and 647 00:38:01,200 --> 00:38:03,920 Speaker 2: we need them to start naming the other animals because 648 00:38:03,960 --> 00:38:07,359 Speaker 2: today we had so many misnomers and the horny bird 649 00:38:07,400 --> 00:38:09,840 Speaker 2: people they like they'll name they'll be like the big 650 00:38:09,960 --> 00:38:13,560 Speaker 2: breasted tint, you know what I mean, Like they'll just 651 00:38:13,640 --> 00:38:14,880 Speaker 2: make a hornyird. 652 00:38:15,239 --> 00:38:16,000 Speaker 1: Yeah, but it. 653 00:38:15,920 --> 00:38:19,400 Speaker 2: Looks like that, you know what I mean. Like I mean, these. 654 00:38:19,200 --> 00:38:22,640 Speaker 1: Are these are literally horned lizards, so getting some hornybird 655 00:38:22,640 --> 00:38:26,680 Speaker 1: people on it would probably be helpful. So horned lizards 656 00:38:26,680 --> 00:38:29,359 Speaker 1: are found in Mexico and North America. They are a 657 00:38:29,360 --> 00:38:33,200 Speaker 1: genus of lizards with about twenty one species, fifteen of 658 00:38:33,239 --> 00:38:35,800 Speaker 1: which are found in the US, and are a common 659 00:38:35,880 --> 00:38:39,319 Speaker 1: sight in Well. They're a little elusive, but they can 660 00:38:39,400 --> 00:38:42,200 Speaker 1: be found in many national parks, such as Bryce Canyon, 661 00:38:42,840 --> 00:38:46,880 Speaker 1: UH and Arizona's Petrified Forest National Park. 662 00:38:47,360 --> 00:38:50,520 Speaker 2: They are so scared. It's so scared of being cut. 663 00:38:51,600 --> 00:38:54,080 Speaker 1: Look at that liard, it's got too many angles. 664 00:38:54,760 --> 00:38:57,080 Speaker 2: Bring our parks back, please. 665 00:38:58,440 --> 00:39:02,840 Speaker 1: So horned lizards are spikey. They range from a grayish 666 00:39:02,920 --> 00:39:05,920 Speaker 1: gravel color to a tan color depending on their habitat. 667 00:39:06,040 --> 00:39:08,799 Speaker 1: They're really really cool looking. They're very They've got these 668 00:39:08,840 --> 00:39:11,839 Speaker 1: wicked looking spikes. They kind of look like tiny dragons, 669 00:39:12,480 --> 00:39:16,680 Speaker 1: but they're actually harmless. They don't have any venom. Their 670 00:39:16,800 --> 00:39:20,600 Speaker 1: main defense is staying still and hoping nobody notices them, 671 00:39:20,760 --> 00:39:21,480 Speaker 1: which is. 672 00:39:21,480 --> 00:39:24,800 Speaker 2: My favorite tack in the green room of a comedy clubs. 673 00:39:24,800 --> 00:39:29,640 Speaker 1: Exactly like whenever I go to a party and it's 674 00:39:29,680 --> 00:39:32,239 Speaker 1: like like I know one person there and then they 675 00:39:32,600 --> 00:39:36,040 Speaker 1: freaking abandon me. They're like, oh, come to this right 676 00:39:36,160 --> 00:39:38,000 Speaker 1: and then I go there and then they're like, oh, 677 00:39:38,040 --> 00:39:41,319 Speaker 1: I'm gonna go talk to this person. It's like you 678 00:39:41,320 --> 00:39:44,239 Speaker 1: you brought me here. I am like your baby right now, 679 00:39:44,360 --> 00:39:45,279 Speaker 1: you abandoned me. 680 00:39:45,440 --> 00:39:49,120 Speaker 2: Parties. Parties are meant to like bring someone to talk 681 00:39:49,160 --> 00:39:50,040 Speaker 2: to one person. 682 00:39:50,360 --> 00:39:54,160 Speaker 1: Yes, that was my understanding. This is why I agreed 683 00:39:54,160 --> 00:39:57,319 Speaker 1: to come. I was gonna be I was basically going 684 00:39:57,360 --> 00:40:00,000 Speaker 1: to be like a little puppy and follow you around 685 00:40:00,280 --> 00:40:01,920 Speaker 1: and have you introduced me to people. 686 00:40:02,800 --> 00:40:06,000 Speaker 2: This is why every party should have one dog. Okay, 687 00:40:06,239 --> 00:40:08,000 Speaker 2: so that for people like us who just want to 688 00:40:08,040 --> 00:40:08,759 Speaker 2: talk to the dog. 689 00:40:08,920 --> 00:40:11,440 Speaker 1: Yeah, yeah, oh is this your dog, I'm gonna I'm 690 00:40:11,440 --> 00:40:14,520 Speaker 1: gonna form a connection with them because uh yeah. That 691 00:40:15,160 --> 00:40:18,160 Speaker 1: My problem is not that I I'm actually I quite 692 00:40:18,280 --> 00:40:20,759 Speaker 1: like people and I like meeting people. It is the 693 00:40:20,800 --> 00:40:23,799 Speaker 1: thing of like when two people are talking, is when 694 00:40:23,840 --> 00:40:28,080 Speaker 1: do I When do I approach and do I stand there, 695 00:40:28,280 --> 00:40:30,640 Speaker 1: and when do I start laughing at what they're saying. 696 00:40:31,040 --> 00:40:32,880 Speaker 1: I don't know if no one's ever taught me that. 697 00:40:33,120 --> 00:40:36,560 Speaker 2: Do you remember how we talked about neurodivergence earlier in I. 698 00:40:36,520 --> 00:40:38,800 Speaker 1: Don't see how this. I'm not sure. I don't I 699 00:40:38,800 --> 00:40:40,000 Speaker 1: don't understand what point. 700 00:40:41,560 --> 00:40:44,040 Speaker 2: I also, also, this is a tip. I just started 701 00:40:44,080 --> 00:40:47,440 Speaker 2: inserting myself into conversations and being like, hey, I'm just 702 00:40:47,440 --> 00:40:49,799 Speaker 2: gonna be in this conversation now and then. Yeah, people 703 00:40:49,840 --> 00:40:55,839 Speaker 2: are generally welcoming and if they're not, well, yeah, there's 704 00:40:55,880 --> 00:40:57,280 Speaker 2: always roasting them. 705 00:40:58,080 --> 00:41:01,240 Speaker 1: Or you can take a page from the horned lizard's 706 00:41:01,239 --> 00:41:04,680 Speaker 1: book and inflate your body to look big and scary 707 00:41:04,760 --> 00:41:07,720 Speaker 1: despite only being about the size of an adult human's palm, 708 00:41:08,280 --> 00:41:11,759 Speaker 1: so they will, yeah, just like, oh you won't talk 709 00:41:11,800 --> 00:41:14,120 Speaker 1: to me, raw, no big ignore. 710 00:41:15,800 --> 00:41:17,879 Speaker 2: Oh my god, I would love to do that, Oh 711 00:41:17,960 --> 00:41:19,360 Speaker 2: my god. Yeah amazing. 712 00:41:19,520 --> 00:41:23,280 Speaker 1: Also, if that fails, there are eight species of horned 713 00:41:23,280 --> 00:41:28,400 Speaker 1: lizards who will have a special extra technique, and that 714 00:41:28,560 --> 00:41:31,680 Speaker 1: is that they squirt blood out of their eye sockets. 715 00:41:32,280 --> 00:41:34,040 Speaker 2: Okay, when you said out of the eyes, I do 716 00:41:34,120 --> 00:41:37,080 Speaker 2: squirt blood, but not out of there. So yeah, when 717 00:41:37,120 --> 00:41:38,000 Speaker 2: I am disruped. 718 00:41:40,239 --> 00:41:43,480 Speaker 1: It sounds like it's still it still sounds pretty skilled. 719 00:41:43,960 --> 00:41:46,960 Speaker 1: But yeah, they will block the blood flow in their 720 00:41:47,000 --> 00:41:50,520 Speaker 1: head and then force it through ruptured vessels around their 721 00:41:50,520 --> 00:41:54,600 Speaker 1: eyelids at high pressures, allowing them to allowing them to 722 00:41:54,680 --> 00:41:57,799 Speaker 1: shoot jets of blood up to five feet or one 723 00:41:57,800 --> 00:41:59,240 Speaker 1: and a half meters away. 724 00:42:00,040 --> 00:42:01,960 Speaker 2: I'm gonna say this, This might be a stretch, but 725 00:42:02,040 --> 00:42:04,560 Speaker 2: I do think they're a little bit more anti social 726 00:42:04,600 --> 00:42:08,840 Speaker 2: than you. Honestly, he knows, just a dad, but I 727 00:42:08,880 --> 00:42:09,960 Speaker 2: think they're beating you on this. 728 00:42:10,239 --> 00:42:13,640 Speaker 1: I if I was able to shoot jets of blood 729 00:42:13,640 --> 00:42:17,080 Speaker 1: out of my eyes, I might have never been forced 730 00:42:17,239 --> 00:42:21,879 Speaker 1: to learn to be more gregarious, because, man, can you 731 00:42:22,040 --> 00:42:26,640 Speaker 1: like every awkward social interaction you're just like, well, you know, 732 00:42:27,000 --> 00:42:31,880 Speaker 1: it's like an Irish goodbye, but a lot more cleaning involved. 733 00:42:33,239 --> 00:42:35,560 Speaker 2: I like the idea of like, oh my god, Katie 734 00:42:35,600 --> 00:42:36,440 Speaker 2: just spewed again. 735 00:42:37,640 --> 00:42:38,240 Speaker 1: Not again. 736 00:42:38,360 --> 00:42:40,839 Speaker 2: Kay, You're like, I'm gonna do it. I'm gonna do it. 737 00:42:41,000 --> 00:42:44,680 Speaker 1: Yeah. It's a way to startle predators, and it has 738 00:42:44,719 --> 00:42:48,560 Speaker 1: a nasty taste and smell that certain predators don't like. 739 00:42:49,680 --> 00:42:51,680 Speaker 1: They these this is the. 740 00:42:51,640 --> 00:42:53,439 Speaker 2: Freak predators that like it. 741 00:42:53,680 --> 00:42:57,840 Speaker 1: Birds apparently don't care. Apparently, like wrap will they do? 742 00:42:58,040 --> 00:42:59,040 Speaker 1: Birds are? 743 00:42:59,600 --> 00:43:02,960 Speaker 2: They're us like the scientists that name them there freaks. 744 00:43:03,160 --> 00:43:06,000 Speaker 1: They're a little freaks. They they don't really care. They 745 00:43:06,040 --> 00:43:09,160 Speaker 1: they don't have a good sense of smell. So when 746 00:43:09,320 --> 00:43:14,040 Speaker 1: the if they try to get spray a predatory bird 747 00:43:14,200 --> 00:43:17,839 Speaker 1: with this business, they're just like, oh season like sauce. Yeah, 748 00:43:17,880 --> 00:43:23,280 Speaker 1: sauce scha nice? Uh So yeah, they the horned lizards 749 00:43:23,280 --> 00:43:26,160 Speaker 1: have a diet of harvester ants which are somewhat toxic. 750 00:43:26,920 --> 00:43:29,959 Speaker 1: Uh And it's thought that possibly that diet might help 751 00:43:30,280 --> 00:43:36,279 Speaker 1: their blood taste worse. So yeah, it's it's like basically 752 00:43:36,400 --> 00:43:39,799 Speaker 1: squirting a hot sauce out of your eyes that's made 753 00:43:39,800 --> 00:43:43,799 Speaker 1: out of your blood, which you know, that's I think that. 754 00:43:44,600 --> 00:43:46,440 Speaker 1: Did you ever have one of those kids in your 755 00:43:46,440 --> 00:43:50,239 Speaker 1: class where they were able to like manipulate their the 756 00:43:50,560 --> 00:43:52,719 Speaker 1: the tear ducts in their eyes and like squirt water 757 00:43:52,760 --> 00:43:53,399 Speaker 1: out of their eye? 758 00:43:54,080 --> 00:43:56,120 Speaker 2: No, I thought you were gonna say, gleeking like with 759 00:43:56,200 --> 00:43:57,160 Speaker 2: the saliva thing. 760 00:43:57,400 --> 00:44:00,040 Speaker 1: I've seen that. Yeah, there's a kid. I think I 761 00:44:00,120 --> 00:44:01,480 Speaker 1: did both of it, and it was. 762 00:44:01,560 --> 00:44:03,560 Speaker 2: Oh my god, I've never heard of that before. 763 00:44:03,719 --> 00:44:06,439 Speaker 1: It was gross. I didn't like it or the kid 764 00:44:06,480 --> 00:44:08,600 Speaker 1: that could like turn their eyelids inside out. 765 00:44:09,000 --> 00:44:10,520 Speaker 2: Oh yeah, there was that kid. 766 00:44:11,080 --> 00:44:13,760 Speaker 1: Oh yeah, a lot of Honestly, we don't talk. 767 00:44:13,680 --> 00:44:16,040 Speaker 2: Enough about body horror in elementary schools. 768 00:44:16,239 --> 00:44:20,799 Speaker 1: Yeah. Yeah, there's a lot of stuff that I made 769 00:44:20,840 --> 00:44:25,240 Speaker 1: me not want to go to school, like people squirting 770 00:44:25,239 --> 00:44:28,200 Speaker 1: fluids out of their faces, like you know, I feel 771 00:44:28,200 --> 00:44:33,120 Speaker 1: like that's not a conducive environment to learn about the 772 00:44:33,160 --> 00:44:40,760 Speaker 1: American Civil War. So another aspect of the horned lizards 773 00:44:40,800 --> 00:44:44,440 Speaker 1: is that they have scales that are highly not just 774 00:44:44,520 --> 00:44:47,799 Speaker 1: the spiked ones, but they have these very tiny scales 775 00:44:47,840 --> 00:44:51,960 Speaker 1: that form these micro channels that help wick moisture from 776 00:44:52,000 --> 00:44:55,520 Speaker 1: the air and funnel it into their mouth. It's such 777 00:44:55,600 --> 00:44:58,920 Speaker 1: a yeah, it's such an ingenious design that scientists are 778 00:44:58,920 --> 00:45:02,880 Speaker 1: trying to replicate artificial versions, which could help in a 779 00:45:02,960 --> 00:45:06,200 Speaker 1: lot of applications. It could be like anything from like 780 00:45:06,280 --> 00:45:10,400 Speaker 1: water collection systems like to breweries. I don't really know 781 00:45:10,440 --> 00:45:13,880 Speaker 1: how a brewery would use this, but breweries you probably know, 782 00:45:15,000 --> 00:45:19,520 Speaker 1: or reducing condensation in medical devices, so like making it 783 00:45:19,560 --> 00:45:24,319 Speaker 1: easier to make beer or medical devices. It a win 784 00:45:24,440 --> 00:45:27,160 Speaker 1: wind to help after you drink like a lot of beer, 785 00:45:27,360 --> 00:45:30,640 Speaker 1: right right, Like drink a lot of beer and then 786 00:45:30,680 --> 00:45:34,359 Speaker 1: you can have an artificial kidney. But yeah, I mean 787 00:45:35,800 --> 00:45:38,680 Speaker 1: their ability, these lizards ability to use water in their 788 00:45:38,719 --> 00:45:42,080 Speaker 1: bodies is so efficient. They don't have a separate urinary bladder. 789 00:45:42,520 --> 00:45:45,439 Speaker 1: They only expel waste in their feces, Like they don't 790 00:45:45,440 --> 00:45:47,560 Speaker 1: need to peek because they just use water so good. 791 00:45:48,400 --> 00:45:50,480 Speaker 2: Oh my god, I mean they're squirting it out of 792 00:45:50,480 --> 00:45:54,480 Speaker 2: their blood eyes. But like, yeah, that's very efficient. 793 00:45:54,719 --> 00:45:57,200 Speaker 1: Yeah, no, it's absolutely incredible. And again it. 794 00:45:57,200 --> 00:45:59,480 Speaker 2: Would save me at least three hours a day if 795 00:45:59,520 --> 00:45:59,799 Speaker 2: I could. 796 00:46:00,719 --> 00:46:03,400 Speaker 1: We can research these guys figure out how not to pee. 797 00:46:03,719 --> 00:46:07,480 Speaker 1: I mean again, like this is there. There's a concept 798 00:46:07,520 --> 00:46:10,960 Speaker 1: which is that like with animals, because they are the 799 00:46:11,000 --> 00:46:14,560 Speaker 1: products of millions of years of evolution, they contain a 800 00:46:14,600 --> 00:46:19,239 Speaker 1: lot of information. And I obviously, if you've made it 801 00:46:19,239 --> 00:46:21,960 Speaker 1: this far in the podcast, you just love animals, so 802 00:46:22,040 --> 00:46:24,120 Speaker 1: you don't need another reason to want to protect them. 803 00:46:24,239 --> 00:46:28,239 Speaker 2: Or it also contains a lot of information, so that's 804 00:46:28,280 --> 00:46:29,120 Speaker 2: why they listened. 805 00:46:29,920 --> 00:46:33,000 Speaker 1: That's true, so that they're trying to write down like, 806 00:46:33,040 --> 00:46:37,880 Speaker 1: all right, which animals do we gotta gotta exploit? H No, 807 00:46:38,000 --> 00:46:43,160 Speaker 1: But it's it's a it is a it's like there's 808 00:46:43,200 --> 00:46:46,280 Speaker 1: a library of potential information. Right, So, like, if animals 809 00:46:46,360 --> 00:46:49,520 Speaker 1: go extinct and or we lose them, or we aren't 810 00:46:49,560 --> 00:46:53,800 Speaker 1: able to, you know, research them because we've laid off 811 00:46:54,160 --> 00:46:57,360 Speaker 1: everyone who might be able to research them, we lose 812 00:46:57,440 --> 00:47:01,799 Speaker 1: so much information that can very selfishly help humanity, right. Like, 813 00:47:01,840 --> 00:47:04,759 Speaker 1: There's a a great example of this is there's this 814 00:47:04,840 --> 00:47:09,040 Speaker 1: frog called the gastric brooding frog, and they would keep 815 00:47:09,120 --> 00:47:13,160 Speaker 1: their offspring in their gut like in their stomachs, and 816 00:47:13,200 --> 00:47:19,040 Speaker 1: somehow their digestive juices would not burn their tadpoles alive. 817 00:47:19,600 --> 00:47:23,520 Speaker 1: And then once the little tadpoles grew into froglets, they 818 00:47:23,520 --> 00:47:28,560 Speaker 1: could like come out of the adult frog's mouth. But 819 00:47:28,880 --> 00:47:31,240 Speaker 1: like the whole the like figuring out. 820 00:47:31,239 --> 00:47:34,759 Speaker 2: I thought that's how we gave birth to Oh well, 821 00:47:34,800 --> 00:47:36,879 Speaker 2: I'm gonna I'm gonna have to talk to Polavi after 822 00:47:36,920 --> 00:47:37,680 Speaker 2: the show. 823 00:47:37,960 --> 00:47:43,240 Speaker 1: Oh no, but yeah, if we if we hadn't lost 824 00:47:43,239 --> 00:47:45,839 Speaker 1: this animal, like, we might have been able to do 825 00:47:45,920 --> 00:47:51,280 Speaker 1: more research onto things like ulcers, gastro esophageal reflux disease. 826 00:47:51,480 --> 00:47:52,040 Speaker 2: We lost. 827 00:47:52,080 --> 00:47:56,839 Speaker 1: It's super sad, It's really really sad. And so right now, 828 00:47:57,000 --> 00:48:01,400 Speaker 1: horned lizard populations are declined due to suburban sprawl land development, 829 00:48:01,480 --> 00:48:06,840 Speaker 1: the pet trade, invasive species of vegetation without they depend 830 00:48:07,000 --> 00:48:09,160 Speaker 1: so much on our national parks, and like if we 831 00:48:09,239 --> 00:48:11,560 Speaker 1: lose our national parks or if our national parks are 832 00:48:11,600 --> 00:48:15,520 Speaker 1: just left to sort of be exploited, I don't know 833 00:48:15,560 --> 00:48:18,520 Speaker 1: that the horned lizards would survive that, like honestly, so 834 00:48:19,239 --> 00:48:22,680 Speaker 1: it's very concerning to me. And again, like I know 835 00:48:22,760 --> 00:48:26,439 Speaker 1: all of you out there just love animals and want 836 00:48:26,480 --> 00:48:28,520 Speaker 1: the best for them for their own sake. But it's 837 00:48:28,560 --> 00:48:30,480 Speaker 1: also like if you're ever talking about someone who's like, 838 00:48:30,480 --> 00:48:32,319 Speaker 1: why would I care about a horned lizard, It's like 839 00:48:32,640 --> 00:48:38,320 Speaker 1: there's so much potential interesting research that could be derived 840 00:48:38,320 --> 00:48:42,200 Speaker 1: from them, Like semaglutide was derived from kila monsters. So 841 00:48:42,239 --> 00:48:45,760 Speaker 1: it's it's just all of these like developments in human 842 00:48:45,840 --> 00:48:48,400 Speaker 1: medicine and technology, a lot of it comes from our 843 00:48:48,480 --> 00:48:52,319 Speaker 1: understanding of animals, and so just from a selfish perspective 844 00:48:52,400 --> 00:48:57,440 Speaker 1: of wanting cool stuff or medical advancements should make people 845 00:48:57,480 --> 00:48:58,200 Speaker 1: care about them. 846 00:48:59,160 --> 00:49:02,759 Speaker 2: But you know, souf we name the monsters after using 847 00:49:02,760 --> 00:49:03,720 Speaker 2: them for semi gluten. 848 00:49:04,320 --> 00:49:08,759 Speaker 1: Yeah, also for also for anticoagulants, which are. 849 00:49:09,040 --> 00:49:13,880 Speaker 2: Oh yeah, also it's for the no I know you 850 00:49:13,920 --> 00:49:16,319 Speaker 2: were listening just the selfish reasons, but for the non 851 00:49:16,360 --> 00:49:19,560 Speaker 2: selfish reasons. It's like, why are we freaking up the 852 00:49:19,600 --> 00:49:23,840 Speaker 2: world so bad? We're just one creature. Yeah, why do 853 00:49:23,960 --> 00:49:27,400 Speaker 2: we have a right to completely destroy other animals? 854 00:49:27,520 --> 00:49:31,560 Speaker 1: It's yeah, no, I mean, I I agree, I think 855 00:49:31,600 --> 00:49:36,760 Speaker 1: it's messed up, but it's uh yeah, so i I'm 856 00:49:37,239 --> 00:49:41,000 Speaker 1: I'm just I'm I'm just upset about the the uh, 857 00:49:41,880 --> 00:49:44,200 Speaker 1: park rangers being laid off because there's some of the 858 00:49:44,239 --> 00:49:47,560 Speaker 1: coolest people out there. Honestly, like, park rangers are a 859 00:49:47,680 --> 00:49:50,360 Speaker 1: national treasure. Like if you've ever been in a national 860 00:49:50,400 --> 00:49:53,560 Speaker 1: park and you're like, oh, like I stepped in poop, 861 00:49:53,600 --> 00:49:55,759 Speaker 1: and they're like, actually, that's the poop of like this 862 00:49:56,000 --> 00:50:01,239 Speaker 1: rare mountain goat or like this incredible like kuwaiti or 863 00:50:01,320 --> 00:50:03,480 Speaker 1: you know, like oh, actually, all right, so now my 864 00:50:03,560 --> 00:50:06,080 Speaker 1: day is not ruined by poop. I've been educated and 865 00:50:06,120 --> 00:50:10,240 Speaker 1: this is really cool. Uh. And yeah, they've like they 866 00:50:10,280 --> 00:50:12,880 Speaker 1: save people's lives when they go on hikes and like, 867 00:50:13,440 --> 00:50:15,280 Speaker 1: I have a hydrated. 868 00:50:14,760 --> 00:50:17,960 Speaker 2: Been saved by a part I'm telling me not to 869 00:50:18,040 --> 00:50:19,200 Speaker 2: do something really dumb. 870 00:50:19,360 --> 00:50:22,560 Speaker 1: Yeah, they have like like when like they they are 871 00:50:22,640 --> 00:50:27,840 Speaker 1: the reasons that people can enjoy this mostly untouched nature 872 00:50:28,000 --> 00:50:31,360 Speaker 1: in such an intimate, wonderful way. And so I'm again 873 00:50:31,400 --> 00:50:36,720 Speaker 1: if you're if you are a former current park ranger 874 00:50:36,840 --> 00:50:38,960 Speaker 1: or no one uh and you'd like to get in 875 00:50:39,000 --> 00:50:42,480 Speaker 1: touch with me for to share your story. You can 876 00:50:42,520 --> 00:50:45,080 Speaker 1: write to me a Creature feature pod at gmail dot com. 877 00:50:45,120 --> 00:50:46,960 Speaker 1: I need their love, to have you on the on 878 00:50:47,040 --> 00:50:51,880 Speaker 1: the show, or read your emails, whatever would work best 879 00:50:51,880 --> 00:50:55,440 Speaker 1: for you. Guys. I just you know, man, I am 880 00:50:56,080 --> 00:51:00,280 Speaker 1: I'm a little pisd. I'm just I want to squirt 881 00:51:00,360 --> 00:51:03,759 Speaker 1: blood out of my eyes up to five feet away. 882 00:51:04,239 --> 00:51:07,360 Speaker 2: Yeah, I feel like that's but that's you like base level, 883 00:51:07,520 --> 00:51:07,640 Speaker 2: you know. 884 00:51:07,719 --> 00:51:11,719 Speaker 1: Yeah, I'm gonna start out. I'm gonna start out with 885 00:51:11,800 --> 00:51:13,759 Speaker 1: blood squirting out of my eyes and then we'll go 886 00:51:13,840 --> 00:51:14,279 Speaker 1: from there. 887 00:51:14,400 --> 00:51:16,080 Speaker 2: We'll go from there. We'll see what we need to do. 888 00:51:16,320 --> 00:51:20,240 Speaker 2: I do want to say like a positive thing. I 889 00:51:20,280 --> 00:51:22,400 Speaker 2: really went through the five stages of grief about this 890 00:51:22,520 --> 00:51:25,719 Speaker 2: gastric brooding frog you told me about it. I was like, 891 00:51:25,800 --> 00:51:28,560 Speaker 2: this is horrific because I don't like thinking about extinct 892 00:51:28,600 --> 00:51:33,120 Speaker 2: animals because it makes me so sad. But Australian scientists 893 00:51:33,680 --> 00:51:37,680 Speaker 2: in twenty thirteen, according to Wikipedia, created a living embryo 894 00:51:37,800 --> 00:51:42,839 Speaker 2: from non living preserved genetic material. And then people from 895 00:51:42,840 --> 00:51:46,600 Speaker 2: the University of Newcastle they've also successfully freezed and thawed 896 00:51:47,440 --> 00:51:52,000 Speaker 2: tote to potent amphibian embryonic cells, so they have a 897 00:51:52,040 --> 00:51:59,080 Speaker 2: proof of concept for threatening and extinction. Yeah, attempts. But 898 00:51:59,200 --> 00:52:02,280 Speaker 2: here's the thing. If we don't have the same people 899 00:52:02,320 --> 00:52:04,880 Speaker 2: that are trying to get rid of park rangers are 900 00:52:04,880 --> 00:52:07,040 Speaker 2: also trying to get rid of scientific funding, and so 901 00:52:07,160 --> 00:52:10,359 Speaker 2: we can't just automatically bring species back to life. All 902 00:52:10,400 --> 00:52:12,960 Speaker 2: of I feel like all of the attempts people who 903 00:52:13,000 --> 00:52:16,080 Speaker 2: are believe in climate change, people who are trying to 904 00:52:16,080 --> 00:52:19,040 Speaker 2: save the animals, people are trying to save people in parks, 905 00:52:19,080 --> 00:52:21,640 Speaker 2: Like they're all on like a certain side of the 906 00:52:21,719 --> 00:52:27,840 Speaker 2: spectrum of politics, and they all like are working together 907 00:52:28,200 --> 00:52:30,560 Speaker 2: and not trying to you know, like you can't just 908 00:52:30,960 --> 00:52:33,960 Speaker 2: assume that scientists are going to bring back extinct species 909 00:52:34,040 --> 00:52:36,640 Speaker 2: because the same people that are working against park rangers 910 00:52:36,640 --> 00:52:37,640 Speaker 2: are working against them. 911 00:52:38,080 --> 00:52:41,960 Speaker 1: So yeah, no, it's it's in you know, like if 912 00:52:42,000 --> 00:52:45,240 Speaker 1: you have sort of like these samples, right, Like that's 913 00:52:45,480 --> 00:52:47,520 Speaker 1: one of the things that's scary about like a sudden 914 00:52:47,560 --> 00:52:50,359 Speaker 1: loss in funding is like where are you storing these 915 00:52:50,400 --> 00:52:53,200 Speaker 1: like samples or these embryos and stuff like, well they're 916 00:52:53,480 --> 00:52:56,120 Speaker 1: they're they have to be preserved and stored. And so 917 00:52:56,160 --> 00:52:59,240 Speaker 1: if you suddenly like pull the plug on some research 918 00:52:59,400 --> 00:53:01,919 Speaker 1: like things can just get destroyed. 919 00:53:01,640 --> 00:53:04,279 Speaker 2: To the point where you can, yeah, like where are 920 00:53:04,280 --> 00:53:05,280 Speaker 2: we keeping the information? 921 00:53:05,400 --> 00:53:10,240 Speaker 1: Yeah? Absolutely so send a picture of that poor little 922 00:53:10,680 --> 00:53:17,080 Speaker 1: uh tortilla sauce covered ringtail cat to your senator today. 923 00:53:19,320 --> 00:53:22,200 Speaker 1: So before we go, let's play a little game to 924 00:53:22,640 --> 00:53:25,359 Speaker 1: you know, you know, let's end on a positive note, 925 00:53:25,400 --> 00:53:28,239 Speaker 1: which is that animals sound fun. We're gonna play a 926 00:53:28,239 --> 00:53:30,840 Speaker 1: little game called guests Who's squawk in the Mystery Animal 927 00:53:30,920 --> 00:53:33,080 Speaker 1: Sound game. Every week I play mystery animal sound and 928 00:53:33,080 --> 00:53:34,799 Speaker 1: you the listener to you, the guests try to guess 929 00:53:35,040 --> 00:53:38,120 Speaker 1: who is making that sound. Last week's Mystery animal sound, 930 00:53:39,120 --> 00:53:41,319 Speaker 1: the hint was this, don't stick your head in the 931 00:53:41,400 --> 00:53:53,360 Speaker 1: sand for this one, all right, you got any guesses, Pulvi, 932 00:53:55,000 --> 00:54:01,000 Speaker 1: that sounds kind of like owl y cowy, interesting like booting. 933 00:54:02,239 --> 00:54:06,080 Speaker 1: That is that is a really interesting guess. And you 934 00:54:06,280 --> 00:54:08,360 Speaker 1: are on the right track because this is a bird, 935 00:54:09,160 --> 00:54:13,200 Speaker 1: but this is actually an ostrich. 936 00:54:13,360 --> 00:54:14,280 Speaker 2: Oh my god. 937 00:54:14,560 --> 00:54:19,320 Speaker 1: Yeah. Congratulations to Aaron Kay and Mary d. For guessing correctly. 938 00:54:19,400 --> 00:54:24,080 Speaker 1: This is a male ostrich booming male ostriches. 939 00:54:23,960 --> 00:54:28,080 Speaker 2: Three boom boom like that like that TikTok guy three booms, 940 00:54:28,120 --> 00:54:30,719 Speaker 2: I give that five booms. That guy the rizzler, What 941 00:54:30,840 --> 00:54:32,040 Speaker 2: is it? I don't know. 942 00:54:32,200 --> 00:54:35,040 Speaker 1: I'm not on TikTok enough to know this, but I. 943 00:54:35,000 --> 00:54:39,160 Speaker 2: Barely I know it from like memes on other social medias. 944 00:54:40,320 --> 00:54:43,239 Speaker 1: But this is a male ostrich booming. Male Ostriches make 945 00:54:43,280 --> 00:54:45,839 Speaker 1: this sound to stick out their territorial or to try 946 00:54:45,840 --> 00:54:49,160 Speaker 1: to attract the ladies. And don't lie to me. Listening 947 00:54:49,160 --> 00:54:52,040 Speaker 1: to this, you're a little bit interested, right like, oh yeah, 948 00:54:52,080 --> 00:54:57,080 Speaker 1: that sounds like a hot and sexy ostrich. If the 949 00:54:57,120 --> 00:54:59,600 Speaker 1: female is impressed, the male might have a chance to 950 00:54:59,640 --> 00:55:02,920 Speaker 1: offer a mating dance where he flutters his beautiful fluffy 951 00:55:02,920 --> 00:55:06,520 Speaker 1: feathers around like a burlesque dancer, and if she's impressed, 952 00:55:06,640 --> 00:55:09,839 Speaker 1: she will allow him to mate with her. Uh So, 953 00:55:10,160 --> 00:55:14,840 Speaker 1: you know ostriches really they. 954 00:55:14,719 --> 00:55:18,160 Speaker 2: Just went to the Liver Living Desert Zoo in Palm 955 00:55:18,239 --> 00:55:20,719 Speaker 2: Desert and I got to feed giraffes and it was 956 00:55:20,800 --> 00:55:24,680 Speaker 2: like a holistic experience for me. And then we saw 957 00:55:24,719 --> 00:55:27,120 Speaker 2: them running. First of all, giraffes run like they're inslaw 958 00:55:27,160 --> 00:55:29,560 Speaker 2: motion like the whole time, like it's not slowed down 959 00:55:29,680 --> 00:55:31,600 Speaker 2: at all. They just like run like that. And then 960 00:55:31,680 --> 00:55:34,200 Speaker 2: also I think they were like it looked like ostriches 961 00:55:34,200 --> 00:55:38,240 Speaker 2: from Afar in the same little area as the giraffes, 962 00:55:38,280 --> 00:55:40,960 Speaker 2: and it was really cool to see them like be 963 00:55:41,160 --> 00:55:43,560 Speaker 2: in the same spot and like interact. 964 00:55:43,560 --> 00:55:47,480 Speaker 1: It was the long next squad. Yeah for long next, 965 00:55:47,600 --> 00:55:48,280 Speaker 1: long next. 966 00:55:48,120 --> 00:55:49,719 Speaker 2: Squad, long neck hive. 967 00:55:49,920 --> 00:55:54,640 Speaker 1: Rise up, all right onto this week's mister animal sound. 968 00:55:54,640 --> 00:56:00,360 Speaker 1: The hint is this, some people just have a prickly personality. 969 00:56:01,400 --> 00:56:03,640 Speaker 2: Okay, I think I know it from contact closed. 970 00:56:03,719 --> 00:56:10,759 Speaker 1: Yeah, anythink right, You're absolutely correct, but yes, the I 971 00:56:10,840 --> 00:56:14,040 Speaker 1: will I will quack out the correct answer, but everyone 972 00:56:14,080 --> 00:56:15,560 Speaker 1: will know POLIVI was right. 973 00:56:16,320 --> 00:56:17,320 Speaker 2: Yay. 974 00:56:17,520 --> 00:56:22,640 Speaker 1: You win the satisfaction of knowing that you are one 975 00:56:22,840 --> 00:56:24,280 Speaker 1: with mother nature. 976 00:56:25,400 --> 00:56:26,279 Speaker 2: That's huge for me. 977 00:56:26,600 --> 00:56:27,120 Speaker 1: This is crazy. 978 00:56:27,120 --> 00:56:28,760 Speaker 2: I don't think I've ever gotten one of these riders, 979 00:56:28,840 --> 00:56:29,760 Speaker 2: which really happy. 980 00:56:30,560 --> 00:56:34,319 Speaker 1: Yes, it's fantastic gifts. Absolutely correct. If you think you 981 00:56:34,360 --> 00:56:35,920 Speaker 1: know who's making that sound, you can write to me 982 00:56:36,040 --> 00:56:39,200 Speaker 1: at Creature feature pot at gmail dot com. Also, if 983 00:56:39,200 --> 00:56:42,000 Speaker 1: you you are or no park rangers and you want 984 00:56:42,000 --> 00:56:44,320 Speaker 1: to share your stories. Also get in touch with me 985 00:56:44,400 --> 00:56:48,040 Speaker 1: there creature feature pot at gmail dot com. Uh POLIVI 986 00:56:48,200 --> 00:56:50,680 Speaker 1: thank you so much for joining me the gate to 987 00:56:51,600 --> 00:56:53,799 Speaker 1: joining me today. Where can people find you? 988 00:56:54,760 --> 00:56:57,360 Speaker 2: I'm at Paula Viganalan p A L l A v 989 00:56:57,520 --> 00:57:00,160 Speaker 2: I g U n A l A n everywhere except 990 00:57:00,000 --> 00:57:01,640 Speaker 2: this time just call it, which is cool. 991 00:57:01,800 --> 00:57:04,520 Speaker 1: Whoa you got in there? I wish I had just 992 00:57:04,600 --> 00:57:07,640 Speaker 1: gotten Katie. I won Katie. 993 00:57:08,080 --> 00:57:10,800 Speaker 2: Pretty early, and then I just didn't use it for 994 00:57:10,840 --> 00:57:12,080 Speaker 2: a year. But now I'm like, you think it a 995 00:57:12,080 --> 00:57:16,560 Speaker 2: lot since it's fun and yeah, I run with my 996 00:57:16,640 --> 00:57:20,040 Speaker 2: friends a show at the comedy store called DATS Recognition Comedy. 997 00:57:20,080 --> 00:57:22,960 Speaker 2: I'm also like, I really need you guys to follow 998 00:57:22,960 --> 00:57:26,040 Speaker 2: me on social media and like come to my shows 999 00:57:26,040 --> 00:57:29,680 Speaker 2: because I am unemployed, okay, like many park rangers right now, 1000 00:57:30,080 --> 00:57:32,800 Speaker 2: and I am trying to tour and so I'm going 1001 00:57:32,840 --> 00:57:35,600 Speaker 2: to like Portland, I'm gonna go to SS I'm going 1002 00:57:35,640 --> 00:57:37,640 Speaker 2: to text it like I'm trying to tour. I have 1003 00:57:37,720 --> 00:57:40,600 Speaker 2: two dogs. Okay, dog sitting is expensive. You guys are 1004 00:57:40,640 --> 00:57:45,320 Speaker 2: animal lovers, Please sponsor my dogs. Okay, so come to shows, 1005 00:57:45,400 --> 00:57:48,480 Speaker 2: pay me money, help me do this profession. 1006 00:57:49,040 --> 00:57:53,440 Speaker 1: Like take the most pathetic photo of your dogs as 1007 00:57:53,480 --> 00:57:54,400 Speaker 1: you can of them. 1008 00:57:54,200 --> 00:57:58,000 Speaker 2: Looking I'm so sad a picture of me wet in 1009 00:57:58,240 --> 00:57:59,640 Speaker 2: afternoon tortilla. 1010 00:57:59,640 --> 00:58:03,720 Speaker 1: A greetin a tortilla factory gets stuck in it. 1011 00:58:03,880 --> 00:58:06,760 Speaker 2: I have the grease. I'm constantly around stuck. 1012 00:58:06,560 --> 00:58:09,840 Speaker 1: In a grease tube and then get rescued and then 1013 00:58:10,000 --> 00:58:12,600 Speaker 1: start like be like, come to my comedy show. Otherwise 1014 00:58:12,640 --> 00:58:15,080 Speaker 1: I have to resort to licking tortilla grease out of 1015 00:58:15,120 --> 00:58:15,720 Speaker 1: a tube. 1016 00:58:15,920 --> 00:58:18,959 Speaker 2: One hundred. That's already me right now, So I'm gonna 1017 00:58:18,960 --> 00:58:19,200 Speaker 2: post it. 1018 00:58:19,400 --> 00:58:21,840 Speaker 1: Guy. If you want to save pull A B from 1019 00:58:21,880 --> 00:58:25,400 Speaker 1: a fate of being stuck in tortilla factory grease tubes, 1020 00:58:25,520 --> 00:58:28,440 Speaker 1: go to her shows. Check her out. Hell yeah, thank 1021 00:58:28,480 --> 00:58:30,480 Speaker 1: you guys so much for listening. If you're enjoying the 1022 00:58:30,480 --> 00:58:32,720 Speaker 1: show and you leave a rating your review that tangibly 1023 00:58:32,800 --> 00:58:37,000 Speaker 1: helps me. Thanks to the Space Classics for their super 1024 00:58:37,000 --> 00:58:40,360 Speaker 1: awesome song x so Lumina. Creature features a production of 1025 00:58:40,400 --> 00:58:42,880 Speaker 1: iHeart Radio. For more podcasts like the one you just heard, 1026 00:58:42,960 --> 00:58:47,240 Speaker 1: visit the iHeartRadio app Apple past I'll do that again. 1027 00:58:50,040 --> 00:58:53,000 Speaker 1: Creature features a production of iHeart Radio for more podcasts 1028 00:58:53,160 --> 00:58:55,280 Speaker 1: like the one you just heard. Visit the iHeart Radio app, 1029 00:58:55,280 --> 00:58:57,720 Speaker 1: Apple podcasts, or hey, guess what wherever you listen to 1030 00:58:57,760 --> 00:59:01,000 Speaker 1: your favorite shows. I can't tell you what to do. 1031 00:59:01,080 --> 00:59:04,400 Speaker 1: I'm not your mother, but do try not to get 1032 00:59:04,440 --> 00:59:08,760 Speaker 1: stuck in a tortilla factory grease pipe. It's you will 1033 00:59:08,800 --> 00:59:13,600 Speaker 1: have to get so many babs, so many babs. All right, guys, 1034 00:59:13,640 --> 00:59:18,560 Speaker 1: see you next Wednesday,