1 00:00:06,640 --> 00:00:10,160 Speaker 1: Welcome to Creature feature production of I Heart Radio. I'm 2 00:00:10,200 --> 00:00:13,920 Speaker 1: your host of Many Parasites, Katie Golden. I studied psychology 3 00:00:13,920 --> 00:00:17,720 Speaker 1: and evolutionary biology, and today we're having a little Halloween 4 00:00:17,840 --> 00:00:22,000 Speaker 1: after party discussing some horror tropes you can find right 5 00:00:22,079 --> 00:00:28,360 Speaker 1: in nature. Evil, deadly lakes, fungus that isn't fun, terrifying antics, 6 00:00:28,800 --> 00:00:32,280 Speaker 1: and things that go bump in the night. Discover this 7 00:00:32,360 --> 00:00:34,720 Speaker 1: more as we answer the angel question, what does the 8 00:00:34,800 --> 00:00:39,680 Speaker 1: fox say? Is it? Joining me today are two horror 9 00:00:39,720 --> 00:00:45,160 Speaker 1: movie specialists and hosts of the Gamefully Unemployed podcasts, Tom 10 00:00:45,240 --> 00:00:55,360 Speaker 1: Ryman and David Bell. Oh spooky sounds Between us, we're 11 00:00:55,360 --> 00:01:00,800 Speaker 1: also probably hosting tons of parasites. Oh yeah, my skin 12 00:01:00,920 --> 00:01:05,360 Speaker 1: is rippling. Everyone has mites on their eyelashes, so you know, 13 00:01:05,920 --> 00:01:10,600 Speaker 1: m There are symbiotes. They're not really positive or negative. 14 00:01:10,640 --> 00:01:14,240 Speaker 1: They just sit there and eat your dead skin. It's 15 00:01:14,480 --> 00:01:16,800 Speaker 1: I still feel like they're they're getting something over on 16 00:01:16,880 --> 00:01:19,640 Speaker 1: me though. I las spiders. Yeah probably. I don't think 17 00:01:19,680 --> 00:01:22,000 Speaker 1: they actually do anything good for you, so they're, you know, 18 00:01:22,200 --> 00:01:26,720 Speaker 1: just kind of sitting on theres a get a job. 19 00:01:26,920 --> 00:01:29,520 Speaker 1: I think it's fun though, because you're never truly alone. 20 00:01:29,720 --> 00:01:33,120 Speaker 1: You're never alone when you got ice spiders, little tiny 21 00:01:33,160 --> 00:01:36,640 Speaker 1: ice spiders. Are they wait, do they look like spiders? 22 00:01:36,720 --> 00:01:39,600 Speaker 1: They look like spiders. They're actually mites, which are you know, 23 00:01:39,680 --> 00:01:43,800 Speaker 1: related to spiders. They're not actually spiders. I like to 24 00:01:43,840 --> 00:01:47,520 Speaker 1: picture my might swearing jaunty little hats. Yeah, they probably are. 25 00:01:48,280 --> 00:01:50,080 Speaker 1: I like. I like the idea of them, like sort 26 00:01:50,080 --> 00:01:53,480 Speaker 1: of matching my outfit every day. Like, hey, you're wearing 27 00:01:53,480 --> 00:01:58,600 Speaker 1: a flamingo shirt. Me too. Yeah. Cute, very courteous little 28 00:01:58,600 --> 00:02:03,040 Speaker 1: eye spiders. But guys, enough of the cute talk about spiders. 29 00:02:03,080 --> 00:02:09,840 Speaker 1: Let's talk about haunted deadly lakes. That's right, spoo spoop 30 00:02:10,120 --> 00:02:15,600 Speaker 1: spoo sky lakes. You did say lakes, right, Like, well, 31 00:02:15,639 --> 00:02:18,839 Speaker 1: this is one leg. I'm sure there are other spooky lakes. Look, 32 00:02:18,880 --> 00:02:22,000 Speaker 1: I'm not saying that this is the only spooky lake, 33 00:02:22,600 --> 00:02:28,280 Speaker 1: can I. I I think all lakes are spooky. They're 34 00:02:28,400 --> 00:02:34,120 Speaker 1: just they're giant like bodies of water of like stagnant water, 35 00:02:34,840 --> 00:02:37,680 Speaker 1: which is things in them that's spooky. You don't want 36 00:02:37,680 --> 00:02:41,840 Speaker 1: to go in those. I wouldn't say stagnant water necessarily, 37 00:02:41,880 --> 00:02:45,840 Speaker 1: but still yeah, still water, which is uh, yeah, you know, 38 00:02:46,360 --> 00:02:50,800 Speaker 1: I just assume if every lake is loaded with ghosts. Yeah, 39 00:02:50,840 --> 00:02:53,160 Speaker 1: it's got to be loaded with all the ghosts of 40 00:02:53,200 --> 00:02:58,360 Speaker 1: the micro organisms, right like tiny just really haunted by 41 00:02:58,400 --> 00:03:05,120 Speaker 1: jack fish. Yeah, fish with unfinished business, finished fish business, 42 00:03:05,160 --> 00:03:07,760 Speaker 1: a turtle that never got to say goodbye to its mom. 43 00:03:09,680 --> 00:03:12,920 Speaker 1: That's actually sad you brought the podcast down. Yeah. I 44 00:03:12,919 --> 00:03:15,399 Speaker 1: thought I thought the fish business would be like, Oh, 45 00:03:15,480 --> 00:03:17,800 Speaker 1: I really wanted to pick up that pebble in my 46 00:03:17,840 --> 00:03:21,360 Speaker 1: mouth and spit it back out really badly, and I 47 00:03:21,440 --> 00:03:24,600 Speaker 1: never got to write. I feel like it would be 48 00:03:25,200 --> 00:03:28,200 Speaker 1: be like I wanted to try like swimming in a 49 00:03:28,240 --> 00:03:30,840 Speaker 1: loop de loop and then I hit my head on 50 00:03:30,880 --> 00:03:33,519 Speaker 1: a rock and died. But now I'm going to try 51 00:03:33,520 --> 00:03:37,000 Speaker 1: it again. But yeah, no, this is an actual spooky lake. 52 00:03:37,160 --> 00:03:41,480 Speaker 1: So this is a lake that turns dead animals into 53 00:03:41,680 --> 00:03:47,400 Speaker 1: terrifying stone sculptures. I mean that sounds pretty dope. It's 54 00:03:47,600 --> 00:03:52,480 Speaker 1: it's it's pretty tight. Yeah, it's pretty sounds like it 55 00:03:52,520 --> 00:03:58,040 Speaker 1: turns them into fun collectibles, into precious moments. The moment 56 00:03:58,120 --> 00:04:02,119 Speaker 1: of death isn't that precious though, you know. Yeah. Lake 57 00:04:02,240 --> 00:04:07,280 Speaker 1: Natrone in northern Tanzania a salt lake that is highly alkaline. 58 00:04:07,400 --> 00:04:11,119 Speaker 1: So if you're highly alkaline, you have a very high pH. 59 00:04:11,280 --> 00:04:18,120 Speaker 1: So you're basic, You're you're basic, like a basic bit right, Yeah? Wait, 60 00:04:18,160 --> 00:04:22,440 Speaker 1: this lake is a basic lake, is very basic. It's 61 00:04:22,480 --> 00:04:25,440 Speaker 1: a basic lake. I got you know what. I followed 62 00:04:25,480 --> 00:04:28,000 Speaker 1: this lake on Instagram and everybody got that. But it's 63 00:04:28,560 --> 00:04:32,280 Speaker 1: not basic like basic, but it's basic like it is 64 00:04:32,480 --> 00:04:35,200 Speaker 1: full of base, as in it has a high pH. 65 00:04:35,400 --> 00:04:38,880 Speaker 1: Like there's assets low pH, and there's bases high pH 66 00:04:38,960 --> 00:04:42,400 Speaker 1: and acids can be very caustic, and bases can be 67 00:04:42,520 --> 00:04:46,360 Speaker 1: very caustic as well. So it is so basic due 68 00:04:46,360 --> 00:04:50,599 Speaker 1: to high amounts of natron found in the lake. Natron 69 00:04:50,800 --> 00:04:55,920 Speaker 1: is a naturally occurring basic high P mineral salt. This 70 00:04:56,000 --> 00:04:59,839 Speaker 1: gives the lake a pH of over twelve, which is 71 00:04:59,839 --> 00:05:04,479 Speaker 1: a about as high as ammonia. Sure. Yeah cool. You 72 00:05:04,480 --> 00:05:07,200 Speaker 1: could say you could have said anything and I would. Yeah. 73 00:05:09,040 --> 00:05:11,320 Speaker 1: I don't know. Yeah, I don't know what any of 74 00:05:11,320 --> 00:05:15,960 Speaker 1: that means making this up. It's got a pH is 75 00:05:16,120 --> 00:05:20,719 Speaker 1: high as glorge. Oh yeah, glory. Yeah, I remember hearing 76 00:05:20,760 --> 00:05:24,160 Speaker 1: about glorge in high school. Yeah, it's really a powerful 77 00:05:24,200 --> 00:05:29,960 Speaker 1: household solvent. Yeah. Well, so the lake is only about 78 00:05:30,040 --> 00:05:33,840 Speaker 1: ten ft deep, which is about three meters, but thirty 79 00:05:33,960 --> 00:05:38,719 Speaker 1: five miles long about fifty seven kilometers long, and the 80 00:05:38,800 --> 00:05:42,960 Speaker 1: lake is pretty hot. It's about a hundred degrees fahrenheit, 81 00:05:43,000 --> 00:05:47,120 Speaker 1: if not more. And it is the world's most caustic lake. 82 00:05:48,680 --> 00:05:52,920 Speaker 1: Mm hmm, No, you know it'll cackle if you go 83 00:05:52,960 --> 00:05:56,240 Speaker 1: on it. Yeah, it's so caustic. It shouts at people 84 00:05:56,240 --> 00:06:00,160 Speaker 1: as they walk by. Yeah, it's like this lake is 85 00:06:00,240 --> 00:06:04,480 Speaker 1: like a real, real, real trash lake. Like Gilbert Gottfried's 86 00:06:04,560 --> 00:06:10,400 Speaker 1: voice turned into water, the liquefied voice of Gilbert gotfreed, 87 00:06:10,960 --> 00:06:14,960 Speaker 1: Gilfert Godfried's voice melted across ten miles or ever, why 88 00:06:15,080 --> 00:06:17,760 Speaker 1: it was. The pictures that you have here is this 89 00:06:18,160 --> 00:06:22,120 Speaker 1: is this the lake? This red, this terrifying red splotch 90 00:06:22,440 --> 00:06:25,840 Speaker 1: of land. Yes, I'm gonna say I appreciate that it's 91 00:06:25,880 --> 00:06:29,520 Speaker 1: blood red. That is very considerate of the lake, right, 92 00:06:29,960 --> 00:06:33,880 Speaker 1: truth and advertising. Right, Yeah, So the satellite images of 93 00:06:33,920 --> 00:06:37,120 Speaker 1: the lake show a creepy kind of portal to hell 94 00:06:37,480 --> 00:06:41,400 Speaker 1: red gouge in the Earth's surface, and even up close 95 00:06:41,440 --> 00:06:43,640 Speaker 1: to the lake can be red. So not in all 96 00:06:43,680 --> 00:06:45,400 Speaker 1: parts of the lake are read. It kind of depends 97 00:06:45,440 --> 00:06:47,880 Speaker 1: on what part of the lake you're in. Like their 98 00:06:48,040 --> 00:06:50,719 Speaker 1: shallower bits, they're deeper bits, they're a bit sort of 99 00:06:51,240 --> 00:06:54,640 Speaker 1: closer to the shoreline, that might be bluer, but like 100 00:06:54,720 --> 00:06:56,400 Speaker 1: in the center of the lake, it may be redder. 101 00:06:56,480 --> 00:07:01,919 Speaker 1: It also, so it's red because of ciano bacteria that 102 00:07:02,000 --> 00:07:08,440 Speaker 1: has this deep red pigment. So cyanobacteria are these little um, 103 00:07:09,080 --> 00:07:13,920 Speaker 1: very tiny organisms that also they can either live independently 104 00:07:14,120 --> 00:07:16,280 Speaker 1: or they can live in red algae, and that's what 105 00:07:16,400 --> 00:07:19,920 Speaker 1: gives red algae that bright red color. That's what happens 106 00:07:19,920 --> 00:07:22,320 Speaker 1: like when you have a red tide, not not the 107 00:07:22,360 --> 00:07:26,040 Speaker 1: euphemism for a lady's period, but an actual red tide 108 00:07:26,280 --> 00:07:30,160 Speaker 1: sham in the ocean. And not not to be confused 109 00:07:30,160 --> 00:07:34,680 Speaker 1: with the Tony Scott film Crimson Tide classic film. So 110 00:07:35,120 --> 00:07:40,280 Speaker 1: other than microorganisms, little life finds this lake hospitable save 111 00:07:40,360 --> 00:07:43,360 Speaker 1: for a few fish that live around the less salty 112 00:07:43,440 --> 00:07:51,720 Speaker 1: and caustic margins of the lake. And also flamingos. Flamingos 113 00:07:51,720 --> 00:07:54,080 Speaker 1: are hanging out in this lake. Flamingos are hanging out 114 00:07:54,080 --> 00:07:56,280 Speaker 1: in this lake, so they actually feed on some of 115 00:07:56,320 --> 00:08:00,320 Speaker 1: the algae and they because they can fly, they can 116 00:08:00,360 --> 00:08:04,840 Speaker 1: actually fly into these mud flats that form seasonally due 117 00:08:04,880 --> 00:08:10,400 Speaker 1: to evaporation and breathe there lay their eggs and allow 118 00:08:10,440 --> 00:08:13,080 Speaker 1: their young to hatch, and that actually keeps them safe 119 00:08:13,720 --> 00:08:19,040 Speaker 1: from predators because basically they're on these little islands and 120 00:08:19,360 --> 00:08:23,200 Speaker 1: predators don't want to have to swim through a blood red, hellish, 121 00:08:23,960 --> 00:08:28,560 Speaker 1: highly basic, caustic lake. It's like it's like how they 122 00:08:28,560 --> 00:08:30,960 Speaker 1: always say, if you get attacked by a bear, light 123 00:08:31,000 --> 00:08:34,640 Speaker 1: yourself on fire and then the bear won't touch you, 124 00:08:34,800 --> 00:08:36,840 Speaker 1: be gonna have anything to do with that, right, But 125 00:08:36,880 --> 00:08:40,720 Speaker 1: the flamingos can basically survive it because they're on those 126 00:08:40,800 --> 00:08:44,880 Speaker 1: mud flats and they can fly and their their hatchlings 127 00:08:44,920 --> 00:08:48,040 Speaker 1: when they hatch. Basically they have to time it very 128 00:08:48,080 --> 00:08:51,280 Speaker 1: specifically so that they can walk across a land bridge 129 00:08:51,320 --> 00:08:55,280 Speaker 1: that forms with evaporation, and they have to be pretty 130 00:08:55,360 --> 00:08:59,160 Speaker 1: fast about it though, because young flamingos can actually die 131 00:08:59,840 --> 00:09:03,920 Speaker 1: on the journey from these these salt uh salt lakes, 132 00:09:04,000 --> 00:09:06,880 Speaker 1: like if their legs start to get too wet because 133 00:09:06,960 --> 00:09:09,800 Speaker 1: salt crystals start to form and it weighs them down 134 00:09:09,800 --> 00:09:12,760 Speaker 1: and it can actually kill them if they just get 135 00:09:12,800 --> 00:09:15,120 Speaker 1: so weighed down by the salt crystals forming on their 136 00:09:15,200 --> 00:09:19,079 Speaker 1: legs that they can't move. So this is after they're born. 137 00:09:19,360 --> 00:09:24,000 Speaker 1: They have to get out of this lake. Yes, that's awful. 138 00:09:24,120 --> 00:09:27,800 Speaker 1: That's like real high risk reward here. It's it's it's 139 00:09:28,000 --> 00:09:31,880 Speaker 1: building in the middle of like an acid moat. Well, right, 140 00:09:31,920 --> 00:09:34,360 Speaker 1: but then if you're surrounded by predators that want to 141 00:09:34,400 --> 00:09:36,840 Speaker 1: eat your babies and they don't want to go through 142 00:09:36,840 --> 00:09:40,000 Speaker 1: the acid moat and sorry, guys, it's not an acid moat. 143 00:09:40,440 --> 00:09:44,480 Speaker 1: It's a basic mode, basic basic. But like it's just 144 00:09:44,520 --> 00:09:47,040 Speaker 1: they didn't ask for that. It's it's like it has 145 00:09:47,120 --> 00:09:50,480 Speaker 1: to be born. Yeah, just like welcome to the world. 146 00:09:50,920 --> 00:09:53,680 Speaker 1: Now you have to get through the Mario lava level. 147 00:09:53,880 --> 00:09:56,360 Speaker 1: I love I love the emo Flamingo. It's just got 148 00:09:56,360 --> 00:09:58,920 Speaker 1: like one little tuft of like black feathers and it 149 00:09:59,080 --> 00:10:05,079 Speaker 1: has to be born an acoustic lake. Mom die in 150 00:10:05,200 --> 00:10:10,400 Speaker 1: its feathers black. That's great, But for most birds, this 151 00:10:10,559 --> 00:10:15,079 Speaker 1: lake is a deadly temptress because migrating birds will crash 152 00:10:15,160 --> 00:10:19,480 Speaker 1: into the lake surface. It's waters are highly reflective due 153 00:10:19,559 --> 00:10:24,199 Speaker 1: to the dense mineral content, and it forms a natural mirror. 154 00:10:25,600 --> 00:10:29,920 Speaker 1: Do they think it's more sky. They think it's more skyle. Literally, 155 00:10:31,240 --> 00:10:35,680 Speaker 1: they're like wow, sky direction. They're like, well, I've never 156 00:10:35,679 --> 00:10:37,920 Speaker 1: seen that before. This is gonna be awesome. I mean, 157 00:10:37,960 --> 00:10:40,680 Speaker 1: it's probably very disorienting because you look down and there's 158 00:10:40,720 --> 00:10:43,400 Speaker 1: just more sky and you're like, huh, I got more 159 00:10:43,400 --> 00:10:48,520 Speaker 1: sky to go in. Yeah, some bird scientists thinks they've 160 00:10:48,559 --> 00:10:53,480 Speaker 1: discovered a window into another dimension. O. Man. Growing up, 161 00:10:53,520 --> 00:10:55,440 Speaker 1: we had a lot of windows and we would you know, 162 00:10:55,480 --> 00:10:57,600 Speaker 1: the birds would hit it. So I remember one year 163 00:10:57,679 --> 00:10:59,920 Speaker 1: my parents had the bright idea of putting like butter 164 00:11:00,040 --> 00:11:04,320 Speaker 1: fly stickers on the windows, and so they're just more 165 00:11:04,360 --> 00:11:10,280 Speaker 1: birds slammed into it, but hungry birds. You should have 166 00:11:10,320 --> 00:11:14,720 Speaker 1: put a pis somatic butterflies, butterflies with warning coloration on 167 00:11:14,760 --> 00:11:19,400 Speaker 1: the windows, Dave's mom, or just like a big owl. 168 00:11:20,320 --> 00:11:24,320 Speaker 1: Yeah that they sell hock dee cows you can put 169 00:11:25,400 --> 00:11:27,760 Speaker 1: that would be super awesome. Though you just have a 170 00:11:27,800 --> 00:11:32,800 Speaker 1: bunch of screaming hawks on your windows. I don't really 171 00:11:32,800 --> 00:11:35,320 Speaker 1: have a problem with birds crashing into our our windows, 172 00:11:35,320 --> 00:11:36,679 Speaker 1: but now I just want to cover them all in 173 00:11:36,880 --> 00:11:44,160 Speaker 1: in hocte cows just blazing ferocious socks. That's protecting the birds. 174 00:11:45,720 --> 00:11:48,000 Speaker 1: But yeah, so like they will crash into this and 175 00:11:48,040 --> 00:11:50,559 Speaker 1: if you're you know, flying, and then you suddenly crash 176 00:11:50,600 --> 00:11:55,320 Speaker 1: into a highly caustic lake at full speed, you can die. 177 00:11:55,360 --> 00:11:57,640 Speaker 1: Either just from the impact or you know, from the 178 00:11:57,800 --> 00:12:01,480 Speaker 1: caustic lake. Them being murdered by a lake is just 179 00:12:01,559 --> 00:12:05,920 Speaker 1: the start of the horror story because then inside the 180 00:12:05,960 --> 00:12:09,800 Speaker 1: water of the lake, the bodies of these dead animals 181 00:12:09,840 --> 00:12:14,760 Speaker 1: will be turned into McCobb's sculptures. So the dead animals, 182 00:12:15,040 --> 00:12:20,760 Speaker 1: semi decayed bodies are preserved through calcification, So calcium salts 183 00:12:20,800 --> 00:12:25,000 Speaker 1: in the lake will be deposited into soft tissue, turning 184 00:12:25,040 --> 00:12:30,480 Speaker 1: it into like this hard semi mummified dead bird or 185 00:12:30,559 --> 00:12:34,160 Speaker 1: other animals. There's like bats sometimes get in there as well, 186 00:12:35,880 --> 00:12:37,800 Speaker 1: but it's still all sleep birds. So I want you 187 00:12:37,800 --> 00:12:40,360 Speaker 1: guys to take a look through. I'll also provide a 188 00:12:40,400 --> 00:12:44,480 Speaker 1: link to these in the show notes. But this gallery 189 00:12:44,520 --> 00:12:51,480 Speaker 1: of calcified animals that were turned into statues by lake neutron, 190 00:12:51,720 --> 00:12:54,440 Speaker 1: which is not just to clarify something about these pictures. 191 00:12:55,480 --> 00:12:59,760 Speaker 1: They were calcified, turned into statues, and then some jerk 192 00:12:59,840 --> 00:13:01,960 Speaker 1: for photographer fished them out of the water and put 193 00:13:02,000 --> 00:13:05,960 Speaker 1: them on these perches, right yep, okay, because they didn't 194 00:13:06,080 --> 00:13:11,839 Speaker 1: calcify in these poses twigs. According to the photographer, they 195 00:13:11,840 --> 00:13:15,000 Speaker 1: were in these poses, but they were not like sitting 196 00:13:15,000 --> 00:13:18,600 Speaker 1: on a branch so they were collected by him and 197 00:13:18,760 --> 00:13:23,640 Speaker 1: local I guess volunteers. I don't. I don't know what 198 00:13:23,640 --> 00:13:27,560 Speaker 1: what Briberry system went on to get locals. So just like, hey, 199 00:13:27,920 --> 00:13:29,880 Speaker 1: get some dead birds from me, will you. So this 200 00:13:29,960 --> 00:13:33,640 Speaker 1: is photographer Nick Brandt who took these photos, and he 201 00:13:33,720 --> 00:13:37,640 Speaker 1: would get acquire the dead birds and sometimes dead bats 202 00:13:38,080 --> 00:13:42,880 Speaker 1: and pose them by just taking their hardened, calcified body 203 00:13:43,040 --> 00:13:46,199 Speaker 1: and putting it on a branch and taking a photo. 204 00:13:46,320 --> 00:13:50,120 Speaker 1: But he says that he didn't manipulate their bodies anyway, 205 00:13:50,160 --> 00:13:51,800 Speaker 1: like trying to pose them. I don't even think you 206 00:13:51,880 --> 00:13:58,480 Speaker 1: could break break Man. The goth flamingo would love these 207 00:13:58,520 --> 00:14:03,320 Speaker 1: in its room. They have a whole whole thing of him. Yeah, 208 00:14:03,679 --> 00:14:05,720 Speaker 1: if all lined up on the wardrobe trying to shock 209 00:14:05,800 --> 00:14:09,720 Speaker 1: its parents. Yeah, if you guys could get calcified. Um, 210 00:14:09,760 --> 00:14:12,840 Speaker 1: if you if that's how you go getting calcified rapidly? 211 00:14:13,200 --> 00:14:16,640 Speaker 1: What pose would you strike? Because these birds, they chose 212 00:14:16,640 --> 00:14:19,520 Speaker 1: a good pose. I would probably go in an attack pose, 213 00:14:20,120 --> 00:14:24,760 Speaker 1: attack pose. Yeah, with my fangs bared. I would hope 214 00:14:24,800 --> 00:14:27,040 Speaker 1: to be holding a guitar so I could be wailing 215 00:14:27,040 --> 00:14:30,160 Speaker 1: on a guitar in the pose. We can make this happen, Dave, 216 00:14:30,240 --> 00:14:32,040 Speaker 1: we can, we can, you can. We can go to 217 00:14:32,120 --> 00:14:34,280 Speaker 1: Tanzania and you can jump into the lake with a 218 00:14:34,320 --> 00:14:38,240 Speaker 1: guitar and just jump in this freaking sarlac pit. Yeah. 219 00:14:38,480 --> 00:14:41,120 Speaker 1: I think I would have like one hand like a 220 00:14:41,280 --> 00:14:44,560 Speaker 1: kimbo and kind of like sassily be sort of jetting 221 00:14:44,560 --> 00:14:46,880 Speaker 1: my hip out and then like one hand sort of 222 00:14:46,920 --> 00:14:49,040 Speaker 1: like blowing a kiss. And then I feel like that 223 00:14:49,080 --> 00:14:54,040 Speaker 1: would be cool for people to Instagram post with, oh yeah, 224 00:14:54,320 --> 00:14:56,480 Speaker 1: make a little money while you're dead, right, and then 225 00:14:56,560 --> 00:14:59,760 Speaker 1: charge people. People could put fun like coins in my 226 00:14:59,840 --> 00:15:03,560 Speaker 1: hand and then my bony, calcified fingers like clasp over 227 00:15:03,600 --> 00:15:09,000 Speaker 1: the coin and I'll be like the is struck. Yeah, 228 00:15:09,200 --> 00:15:13,240 Speaker 1: there's okay. It's so have they like stuck cameras in 229 00:15:13,280 --> 00:15:15,240 Speaker 1: this lake? Have they looked in the part where the 230 00:15:15,240 --> 00:15:20,000 Speaker 1: animals can't go? I don't. I mean, it's not that 231 00:15:20,080 --> 00:15:23,240 Speaker 1: no animals can survive in this like, uh, fish can. 232 00:15:23,440 --> 00:15:26,600 Speaker 1: Some fish, very hardy fish can actually live in certain 233 00:15:26,640 --> 00:15:31,800 Speaker 1: parts of the lake. I mean they're stout fish, fisher, 234 00:15:31,920 --> 00:15:37,120 Speaker 1: bulletproof fish going around. Dun't bar me. I don't know 235 00:15:37,160 --> 00:15:41,880 Speaker 1: what they're complaining about. Dun't bar me. I just find 236 00:15:41,920 --> 00:15:44,560 Speaker 1: it hard to like you're describing like one of those 237 00:15:44,640 --> 00:15:48,400 Speaker 1: you know, those weird flowers that like spiders fall in 238 00:15:48,520 --> 00:15:51,520 Speaker 1: and bugs fall in and they drown and eats them. 239 00:15:51,640 --> 00:15:54,840 Speaker 1: Like it just seems like it's some elaborate trap, right, 240 00:15:55,080 --> 00:15:58,360 Speaker 1: But it's just a lake. Yeah, but what's the lake? 241 00:15:58,440 --> 00:16:01,240 Speaker 1: Want the lake? Yeah, I feel like like, yeah, it's 242 00:16:01,360 --> 00:16:04,080 Speaker 1: entirely possible. We'd go to the bottom of this lake 243 00:16:04,400 --> 00:16:11,080 Speaker 1: and find like a mouth, yeah, hello, big big, like 244 00:16:11,120 --> 00:16:20,040 Speaker 1: big juicy lips, like yeah, just a human mouth. Well yeah, 245 00:16:20,280 --> 00:16:22,000 Speaker 1: you know, I don't know if there have been like 246 00:16:22,160 --> 00:16:25,600 Speaker 1: underwater videos taken, I don't know if you would get 247 00:16:25,760 --> 00:16:29,400 Speaker 1: much Also, if you if you got film exposed to 248 00:16:29,440 --> 00:16:32,680 Speaker 1: the water, like if somehow water got into your film 249 00:16:32,800 --> 00:16:36,960 Speaker 1: or on your camera, it would destroy the footage. It's yeah, 250 00:16:37,120 --> 00:16:40,520 Speaker 1: it's a racket, like we we don't know what's down there, right, Yeah, 251 00:16:40,720 --> 00:16:43,400 Speaker 1: it's it's it's at the very least, it's a portal 252 00:16:43,440 --> 00:16:46,800 Speaker 1: to hell. What if it's this photographer. What if he 253 00:16:46,920 --> 00:16:49,400 Speaker 1: like turns into like a like a like a snake 254 00:16:49,520 --> 00:16:52,080 Speaker 1: or something and like slithers into the water at night 255 00:16:52,240 --> 00:16:56,200 Speaker 1: like a silky Yeah, and it's it's the lake's elaborate 256 00:16:56,280 --> 00:17:01,600 Speaker 1: scam to sell black and white photography of animals. I 257 00:17:02,280 --> 00:17:07,399 Speaker 1: like that that this malevolent blood Red likes ultimate evil 258 00:17:07,520 --> 00:17:12,920 Speaker 1: scam is photography. Oh yeah, hey, look sometimes monsters want, 259 00:17:13,080 --> 00:17:16,920 Speaker 1: you know, to be artists too. But these are these 260 00:17:16,960 --> 00:17:20,359 Speaker 1: are astounding photos. There's a wholeful a mingo, a bat 261 00:17:21,359 --> 00:17:24,439 Speaker 1: uh swallow, some other bird I can't really tell what 262 00:17:24,560 --> 00:17:30,359 Speaker 1: it is anymore, and an entire eagle, and I think 263 00:17:30,400 --> 00:17:33,560 Speaker 1: a dove. Who I think the dove is my favorite 264 00:17:33,560 --> 00:17:35,800 Speaker 1: because its wings are sort of folded in front of it. 265 00:17:35,800 --> 00:17:38,440 Speaker 1: It looks very much like an angel of Death kind 266 00:17:38,440 --> 00:17:42,399 Speaker 1: of thing going on. Yeah, it looks like a like 267 00:17:42,440 --> 00:17:45,199 Speaker 1: a prop for the movie The Crow, right right, or 268 00:17:45,240 --> 00:17:49,640 Speaker 1: like a Gearmo del Toro creation. Yeah, yeah, again, good 269 00:17:49,680 --> 00:17:53,119 Speaker 1: on these birds of taking these majestic poses. At the 270 00:17:53,119 --> 00:17:56,040 Speaker 1: moment of their death, They're like, I'm dying, but I 271 00:17:56,160 --> 00:18:03,080 Speaker 1: must pull my finger. There's a cheese space in a 272 00:18:03,160 --> 00:18:07,119 Speaker 1: in a peace sign. Yeah. I mean, I think that 273 00:18:07,400 --> 00:18:10,840 Speaker 1: being turned into a statue is sort of a It's 274 00:18:10,840 --> 00:18:12,760 Speaker 1: a it's a theme in horror movies, right, like in 275 00:18:12,880 --> 00:18:16,320 Speaker 1: House of Wax, where they like turn horny teenagers into 276 00:18:16,359 --> 00:18:21,000 Speaker 1: wax statues. Greek mythology like Medusa turning people into stone statues. 277 00:18:21,119 --> 00:18:28,320 Speaker 1: I guess, horny Greeks, the classic story of gargoyles the cartoon, Right, 278 00:18:28,760 --> 00:18:31,480 Speaker 1: that's sort of the that's sort of the opposite problem. Yeah, 279 00:18:31,600 --> 00:18:35,000 Speaker 1: that's that's that's a good point, um, Tom, if we 280 00:18:35,119 --> 00:18:38,200 Speaker 1: were we're talking about horror movies, Tom, we we literally 281 00:18:38,240 --> 00:18:43,040 Speaker 1: just watched a movie like this, or should I say 282 00:18:43,080 --> 00:18:46,560 Speaker 1: a segment in a movie, Tom, Yeah, creep show too. Yeah. 283 00:18:46,600 --> 00:18:50,000 Speaker 1: The raft it's about a lake where a bunch of 284 00:18:50,040 --> 00:18:53,400 Speaker 1: college kids, you know, going on on one of those 285 00:18:53,440 --> 00:18:55,840 Speaker 1: wooden rafts that's like anchored in the middle of the 286 00:18:55,960 --> 00:19:00,919 Speaker 1: lake to bone uh and uh, there's in horror movies 287 00:19:00,960 --> 00:19:05,400 Speaker 1: you can never have sex without like consequences, in this 288 00:19:05,480 --> 00:19:08,239 Speaker 1: case being attacked by what appears to be like a 289 00:19:08,240 --> 00:19:12,440 Speaker 1: gooey trash bag that floats around the lake and dissolves them, 290 00:19:12,960 --> 00:19:16,440 Speaker 1: eats them. Yeah, that's pretty nearly. That's cool. That is 291 00:19:16,520 --> 00:19:18,160 Speaker 1: kind of like this. Yeah. I was going to ask 292 00:19:18,200 --> 00:19:21,200 Speaker 1: you guys if they are like killer lakes in horror movies, 293 00:19:21,240 --> 00:19:24,080 Speaker 1: and it sounds like there are just the one, really 294 00:19:24,400 --> 00:19:27,000 Speaker 1: that one. Yeah, I don't know, you know, there's some. 295 00:19:28,840 --> 00:19:30,359 Speaker 1: I mean, it's not really a horror movie. But in 296 00:19:30,440 --> 00:19:33,919 Speaker 1: Dante's Peak, the lake turns into acid. Yeah, and and 297 00:19:33,960 --> 00:19:38,520 Speaker 1: eats Grandmama, eats Grandma. Yeah she kind of Yeah, she 298 00:19:38,640 --> 00:19:41,359 Speaker 1: totally has it coming in the in the context of 299 00:19:41,400 --> 00:19:46,560 Speaker 1: that film, Grandma, it's very satisfying. It's a villain death 300 00:19:48,000 --> 00:19:49,879 Speaker 1: when you think about it, She's the chief villain of 301 00:19:49,920 --> 00:19:52,680 Speaker 1: the piece. I like how this podcast has suddenly taken 302 00:19:52,720 --> 00:19:58,280 Speaker 1: a very anti Grandma's dance Grandma. Yeah. Like if you 303 00:19:58,320 --> 00:20:01,560 Speaker 1: watch Dante's Peak, you would be like, oh, yeah, I 304 00:20:01,600 --> 00:20:05,080 Speaker 1: know exactly what you're talking. We're saying Grandma's in general 305 00:20:05,119 --> 00:20:07,480 Speaker 1: are cool, and we don't we don't want you to 306 00:20:07,520 --> 00:20:10,400 Speaker 1: get devoured by legs of acid. Yeah, we should say 307 00:20:10,440 --> 00:20:18,960 Speaker 1: the character who I believe is named Ruth. Ruth. Just 308 00:20:19,040 --> 00:20:21,000 Speaker 1: before we move on to the next topic, I want 309 00:20:21,000 --> 00:20:25,560 Speaker 1: to do sort of an honorable mention for spooky horror 310 00:20:25,600 --> 00:20:31,760 Speaker 1: movie environment. So this would be the clathrus are carry 311 00:20:32,000 --> 00:20:36,240 Speaker 1: fungus which is also known as the octopus, stinkhorn, the squid, word, mushroom, 312 00:20:36,600 --> 00:20:41,080 Speaker 1: or Devon's fingers. So it is a fungus that looks 313 00:20:41,119 --> 00:20:44,520 Speaker 1: like a tentacled alien bursting out of an egg, which 314 00:20:44,560 --> 00:20:48,600 Speaker 1: I think is pretty neat. Yeah, why does this exist? 315 00:20:49,240 --> 00:20:53,320 Speaker 1: How can I avoid it? Um? So to answer why 316 00:20:53,359 --> 00:20:58,119 Speaker 1: it exists? Uh, I don't. I mean that's very deeply philosophical. 317 00:20:58,440 --> 00:21:02,440 Speaker 1: In short, basically, these tentacle arms come out in order 318 00:21:02,480 --> 00:21:07,280 Speaker 1: to distribute its spores, and they smell like rotting flesh 319 00:21:07,320 --> 00:21:11,919 Speaker 1: when they're mature to attract flies and other pollinators. I 320 00:21:11,920 --> 00:21:14,919 Speaker 1: guess that actually didn't answer why they exist, but just 321 00:21:15,040 --> 00:21:18,719 Speaker 1: added on to sort of more of how they exist. 322 00:21:19,480 --> 00:21:23,439 Speaker 1: So basically, the it looks like a white egg, and 323 00:21:23,480 --> 00:21:27,760 Speaker 1: then out of the white egg are red tentacle arms 324 00:21:27,760 --> 00:21:31,840 Speaker 1: with black goo inside of them, sort of bursting out 325 00:21:31,880 --> 00:21:34,359 Speaker 1: of the eggs. And sometimes they come and hold clusters, 326 00:21:34,359 --> 00:21:38,160 Speaker 1: so it looks like a nest of little eldric demons. 327 00:21:38,960 --> 00:21:42,960 Speaker 1: It's the shrimp fingers and beetlejuice. Yeah, that's exactly what 328 00:21:43,000 --> 00:21:45,280 Speaker 1: it looks like. Yeah, that was the first thing that 329 00:21:45,359 --> 00:21:49,240 Speaker 1: came to mind. I don't remember shrimp fingers. Uh. It's 330 00:21:49,320 --> 00:21:55,760 Speaker 1: during the famous scene where she dances and sings. Uh. 331 00:21:56,600 --> 00:22:02,800 Speaker 1: And then at the end their meals grab them, grab 332 00:22:02,880 --> 00:22:05,040 Speaker 1: their faces and throw them. That's fun. That's what these 333 00:22:05,040 --> 00:22:10,119 Speaker 1: fungus do too. No, not really, they do smell like 334 00:22:10,160 --> 00:22:13,159 Speaker 1: dead flesh and oh and then this is just a 335 00:22:13,200 --> 00:22:17,960 Speaker 1: fun thing. From the Wikipedia sentence says, quote the young 336 00:22:18,080 --> 00:22:22,480 Speaker 1: fungus erupts from a sub rumpant egg by forming into 337 00:22:22,520 --> 00:22:27,639 Speaker 1: four to seven elongated slender arms, initially erect and attached 338 00:22:27,680 --> 00:22:31,719 Speaker 1: at the top. So I never actually have heard the 339 00:22:31,840 --> 00:22:37,760 Speaker 1: term suber rumpant, and I googled it, and every everything 340 00:22:37,880 --> 00:22:41,560 Speaker 1: on Google just led back to this Wikipedia article. So 341 00:22:42,440 --> 00:22:44,439 Speaker 1: I don't know if this is a real word or not. 342 00:22:44,920 --> 00:22:48,840 Speaker 1: Rumpant is a real word. It means bursting forth through 343 00:22:48,920 --> 00:22:53,320 Speaker 1: a surface. But I guess like sub or rumpant means 344 00:22:53,440 --> 00:22:57,120 Speaker 1: like the egg is the thing from which the tentacle 345 00:22:57,960 --> 00:23:01,919 Speaker 1: fungus erupts. I don't know, but I'm just sounds like 346 00:23:02,000 --> 00:23:06,040 Speaker 1: somebody's making stuff up on Wikipedia. Kind of sounds like 347 00:23:06,080 --> 00:23:09,040 Speaker 1: somebody's making stuff up on Wikipedia, but it's it was 348 00:23:09,080 --> 00:23:12,800 Speaker 1: trying to slide suborumpant in there. It's like it's a 349 00:23:12,920 --> 00:23:16,359 Speaker 1: perfect crime, right. But I'm like super into this word, 350 00:23:16,440 --> 00:23:18,639 Speaker 1: so I kind of wanted to be a real word. 351 00:23:18,800 --> 00:23:22,320 Speaker 1: So I'm just gonna start using subarumpant and act like 352 00:23:23,359 --> 00:23:26,280 Speaker 1: you don't know what's subarumpant means that embarrassing for you. 353 00:23:28,520 --> 00:23:31,919 Speaker 1: I'm just I'm now automatically thinking of horror movies. This 354 00:23:32,000 --> 00:23:36,320 Speaker 1: reminds me. Splinter comes to mind. Say, it's not quite 355 00:23:36,320 --> 00:23:37,879 Speaker 1: the same, but that's I was trying to think of 356 00:23:37,880 --> 00:23:40,920 Speaker 1: what our fungal horror movies. Uh, And of course there's 357 00:23:40,960 --> 00:23:43,760 Speaker 1: The Last of Us with um like it's often a 358 00:23:43,880 --> 00:23:47,280 Speaker 1: zombie genre. Splinters similar to US as a game where 359 00:23:47,720 --> 00:23:51,400 Speaker 1: zombies are taken over by the court accepts Fungus, which 360 00:23:51,440 --> 00:23:55,440 Speaker 1: is actually based on a real fungus that infects ants 361 00:23:55,440 --> 00:24:00,240 Speaker 1: and other insects and bursts from them, like some times 362 00:24:00,280 --> 00:24:03,440 Speaker 1: from their heads into a fruiting body that releases spores, 363 00:24:03,480 --> 00:24:05,480 Speaker 1: which is pretty horrifying. I think we've talked about it 364 00:24:05,520 --> 00:24:07,720 Speaker 1: on the show before, but yeah, it's pretty cool. Yeah. 365 00:24:07,880 --> 00:24:12,520 Speaker 1: Also the movie Cargo, which was like a zombie movie 366 00:24:12,720 --> 00:24:17,800 Speaker 1: with Martin Freeman that not Australian, the Australian Outback, and 367 00:24:17,840 --> 00:24:21,639 Speaker 1: I think that him and a baby, him and a baby, 368 00:24:21,840 --> 00:24:24,560 Speaker 1: and I think it wasn't that whole. There was like 369 00:24:24,600 --> 00:24:28,680 Speaker 1: sort of I think they based some of their Yeah, 370 00:24:28,760 --> 00:24:32,240 Speaker 1: it's more zombie ish. It was a good, very good premise, 371 00:24:32,320 --> 00:24:34,720 Speaker 1: which is that he's trying to get this this. I 372 00:24:34,760 --> 00:24:38,840 Speaker 1: think it's a baby to safety having been bitten. So 373 00:24:38,880 --> 00:24:41,280 Speaker 1: he knows that in a certain amount of time he's 374 00:24:41,280 --> 00:24:44,439 Speaker 1: gonna eat that baby. Like he's just gonna he's not 375 00:24:44,480 --> 00:24:47,320 Speaker 1: gonna he's gonna be a zombie. And then that baby 376 00:24:47,400 --> 00:24:51,800 Speaker 1: is screwed. Bay, Yeah, the baby. I don't think that 377 00:24:51,800 --> 00:24:55,000 Speaker 1: baby could handle this. Oh, but you know what it is. 378 00:24:55,040 --> 00:24:57,680 Speaker 1: It's not that it's not that the virus itself is 379 00:24:57,720 --> 00:25:00,600 Speaker 1: a fungus, but they based the human beho aaviors on 380 00:25:00,680 --> 00:25:04,240 Speaker 1: the behaviors of ants that have been infected with Court accepts. 381 00:25:04,240 --> 00:25:07,840 Speaker 1: So like the humans in a stage of infection, they 382 00:25:07,920 --> 00:25:10,880 Speaker 1: are become very like photo sensitive and like hide their 383 00:25:10,920 --> 00:25:17,119 Speaker 1: heads in the ground then burst forth becoming fully zombified. Um, 384 00:25:17,240 --> 00:25:20,080 Speaker 1: And I think it's with ants, it's not quite the 385 00:25:20,119 --> 00:25:23,600 Speaker 1: same thing. They just go crazy and walk up a 386 00:25:23,680 --> 00:25:25,840 Speaker 1: stem and then like clamp down on the stem and 387 00:25:25,840 --> 00:25:27,879 Speaker 1: start to clamp their head onto the stem and just 388 00:25:27,920 --> 00:25:29,920 Speaker 1: like stay in that locked pose. So I think that's 389 00:25:29,960 --> 00:25:33,399 Speaker 1: actually really I like that idea of like an infection 390 00:25:33,480 --> 00:25:37,000 Speaker 1: sort of like having you do this weird behavior in 391 00:25:37,119 --> 00:25:41,560 Speaker 1: service of the virus or fungus fungal infection. A non 392 00:25:41,720 --> 00:25:45,399 Speaker 1: zombie option. It's not really a fungus. I'm cheating, but 393 00:25:45,800 --> 00:25:50,280 Speaker 1: the movie Apostle has sort of a fungal quality to 394 00:25:50,440 --> 00:25:54,280 Speaker 1: what's going on. It's it's more like nature. Yeah, this 395 00:25:54,440 --> 00:25:59,240 Speaker 1: is also this is also a little reminiscent of Annihilation. Yes, yes, 396 00:25:59,400 --> 00:26:04,200 Speaker 1: oh yeah. God. I couldn't watch that movie like all 397 00:26:04,240 --> 00:26:07,240 Speaker 1: the way through, but I have just watched bits and 398 00:26:07,280 --> 00:26:11,320 Speaker 1: pieces of it to get the overall vibe. E didn't 399 00:26:11,359 --> 00:26:16,119 Speaker 1: like the tummy worms, I didn't like the that's going 400 00:26:16,160 --> 00:26:18,000 Speaker 1: to say, did you make it to the Horror Bear? 401 00:26:18,080 --> 00:26:22,160 Speaker 1: And yes you did. Yeah you your love of animals. 402 00:26:22,200 --> 00:26:24,840 Speaker 1: I feel like there's certain horror movies that would fascinate 403 00:26:24,880 --> 00:26:28,080 Speaker 1: you to some extent and horrify Yeah, Apostle being one 404 00:26:28,119 --> 00:26:31,200 Speaker 1: of them. Yeah. It's funny because while I think I'm 405 00:26:31,320 --> 00:26:36,440 Speaker 1: extremely empathetic towards humans, seeing animals suffer in movies somehow 406 00:26:37,400 --> 00:26:39,600 Speaker 1: is worse. Not that I not that I think that 407 00:26:39,680 --> 00:26:42,560 Speaker 1: I like value animals over humans. I think it's like 408 00:26:42,600 --> 00:26:45,000 Speaker 1: when I see a human actor suffering in a movie, 409 00:26:45,000 --> 00:26:47,359 Speaker 1: I'm like, Okay, part of my brain is like, oh no, 410 00:26:47,880 --> 00:26:49,560 Speaker 1: I'm upset, But then part of my brain is like, 411 00:26:49,600 --> 00:26:52,199 Speaker 1: that's a human actor. You know they're they're acting. Right 412 00:26:52,320 --> 00:26:54,560 Speaker 1: When I see like a dog in a movie, even 413 00:26:54,600 --> 00:26:57,840 Speaker 1: if it's even if I logically know this dog is 414 00:26:57,880 --> 00:27:01,600 Speaker 1: trained to make this sound, it's not actually scared. The 415 00:27:01,680 --> 00:27:05,800 Speaker 1: concept of a dog actor portraying fear but not actually 416 00:27:05,840 --> 00:27:09,600 Speaker 1: being afraid doesn't really resonate with me. So I'm just like, oh, no, baby, 417 00:27:09,680 --> 00:27:12,640 Speaker 1: Like in the Thing, the worst scene in that movie 418 00:27:12,760 --> 00:27:15,639 Speaker 1: is the dog being attacked by the thing. They're like 419 00:27:15,760 --> 00:27:19,840 Speaker 1: making these horrible scared dog noises. And I'm sure, at 420 00:27:19,920 --> 00:27:21,880 Speaker 1: least I hope very much that these were just really 421 00:27:21,920 --> 00:27:24,840 Speaker 1: well trained dogs. First of all, it's um white Thing 422 00:27:25,440 --> 00:27:27,879 Speaker 1: is one of the dogs. The dog actor who played 423 00:27:27,880 --> 00:27:32,080 Speaker 1: white Fing is the main dog in that I think, right, yeah, 424 00:27:32,119 --> 00:27:35,280 Speaker 1: I think it wor if you watch some of those 425 00:27:35,280 --> 00:27:38,480 Speaker 1: shots where the dogs are getting like sprayed with thing goo, yeah, 426 00:27:38,760 --> 00:27:42,200 Speaker 1: like you're definitely seeing irritated dogs. I don't think you're 427 00:27:42,200 --> 00:27:45,359 Speaker 1: seeing dogs in like afraid, but I think you're seeing 428 00:27:45,400 --> 00:27:49,600 Speaker 1: dogs being like what the hell is man? What is this? Right? 429 00:27:49,640 --> 00:27:51,960 Speaker 1: But there's like a dog that tries to bite its 430 00:27:51,960 --> 00:27:56,000 Speaker 1: way out of the cage because it's so scared. It's like, oh, puppy, 431 00:27:56,280 --> 00:27:59,879 Speaker 1: probably peanut butter all these I know, I know, right, 432 00:28:00,119 --> 00:28:02,720 Speaker 1: but like, screw all these people, like save the puppies. 433 00:28:03,680 --> 00:28:06,080 Speaker 1: My favorite is when a dog or animals trying to 434 00:28:06,080 --> 00:28:08,679 Speaker 1: be vicious and you can kind of tell they're just 435 00:28:08,800 --> 00:28:13,720 Speaker 1: having TILSA. That's so interesting about the and this is 436 00:28:13,760 --> 00:28:16,840 Speaker 1: a total tangent but I just watched it recently. So 437 00:28:16,920 --> 00:28:19,280 Speaker 1: the dog is infected by the thing, which is this 438 00:28:19,520 --> 00:28:26,479 Speaker 1: shape shifting alien evil entity, and the dog actor is 439 00:28:26,560 --> 00:28:30,240 Speaker 1: so good at being kind of uncanny the way it's 440 00:28:30,280 --> 00:28:33,639 Speaker 1: it's such a good dogs, such a good dog actor, 441 00:28:33,720 --> 00:28:36,840 Speaker 1: and it kind of is creepy, but it's also like 442 00:28:37,680 --> 00:28:39,920 Speaker 1: I'm just so proud of such a good good boy. 443 00:28:40,080 --> 00:28:43,400 Speaker 1: What a good boy. It's white thing like that. That's 444 00:28:43,520 --> 00:28:48,880 Speaker 1: that is like the Jack Nicholson of dogs. Uh, it's great. Yeah, 445 00:28:48,920 --> 00:28:52,360 Speaker 1: the name is Jet Jet. The dog was in the 446 00:28:52,440 --> 00:28:55,680 Speaker 1: thing and white thing and white thing to get him, 447 00:28:55,920 --> 00:28:59,240 Speaker 1: get him an Oscar or an Oscar Mayer weener. I know, 448 00:28:59,320 --> 00:29:01,600 Speaker 1: we're I know, far down the rabbit hole. I just 449 00:29:01,640 --> 00:29:05,040 Speaker 1: have to say. The dog has one self credit where 450 00:29:05,040 --> 00:29:10,280 Speaker 1: the dog plays itself and this is blowing my mind. Uh, 451 00:29:10,280 --> 00:29:14,720 Speaker 1: it plays itself in the video documentary Dead Kennedy's the 452 00:29:14,800 --> 00:29:19,000 Speaker 1: early Years, a documentary about the punk band The Dead Kennedy's. 453 00:29:19,560 --> 00:29:23,480 Speaker 1: I don't know why White Fame is in that, but 454 00:29:25,160 --> 00:29:27,480 Speaker 1: Jet the Dog was there in the formative years of 455 00:29:27,520 --> 00:29:29,440 Speaker 1: the Dead Kennedys, so they couldn't they couldn't do a 456 00:29:29,480 --> 00:29:32,680 Speaker 1: comprehensive documentary without talking to him. Right was Jed the 457 00:29:32,760 --> 00:29:36,760 Speaker 1: first singer. The cast of this documentary is the four 458 00:29:36,800 --> 00:29:40,520 Speaker 1: members of The Dead Kennedy's and Jed. That's all that's 459 00:29:40,560 --> 00:29:43,920 Speaker 1: listed on IMDV. The dog in a pair of glasses 460 00:29:44,000 --> 00:29:48,480 Speaker 1: like facing count. Yeah, well, you know, I do there 461 00:29:48,520 --> 00:29:51,000 Speaker 1: early years, and to be frank with you, it was 462 00:29:51,080 --> 00:30:00,480 Speaker 1: their sound was pretty rough. So now we're going to 463 00:30:00,600 --> 00:30:05,080 Speaker 1: talk about ants. Ants can be scary, but ants could 464 00:30:05,120 --> 00:30:09,400 Speaker 1: have their own horror movies like Attack of the Ant. Mimics. 465 00:30:09,840 --> 00:30:13,720 Speaker 1: There are species of predatory insects and arachnids that mimic 466 00:30:13,800 --> 00:30:19,440 Speaker 1: ants visually, behaviorally, and sometimes through pheromones. Reasons for the 467 00:30:19,480 --> 00:30:22,760 Speaker 1: mimicry range from being able to sneakily live among the 468 00:30:22,800 --> 00:30:28,080 Speaker 1: ants to stealing the ant's identity to avoid predators, Predators 469 00:30:28,120 --> 00:30:31,520 Speaker 1: who are rightfully afraid of the wrath of an ant colony. 470 00:30:31,800 --> 00:30:35,840 Speaker 1: Some mimics are ruthless murderers using their ant shape to 471 00:30:35,920 --> 00:30:38,320 Speaker 1: sneak up on an ant, kill it, and eat it, 472 00:30:38,640 --> 00:30:42,640 Speaker 1: like John Carpenter's The Thing. So before the break, we 473 00:30:42,640 --> 00:30:45,560 Speaker 1: were just talking about the Thing, and I was kind 474 00:30:45,560 --> 00:30:50,560 Speaker 1: of there aren't that many like shape shifting super animals 475 00:30:50,600 --> 00:30:55,600 Speaker 1: that can assume the form of any organism. Unfortunately, But 476 00:30:56,000 --> 00:31:00,440 Speaker 1: when you think of evolution as sort of like it, 477 00:31:00,880 --> 00:31:05,160 Speaker 1: like on this grander scale of evolution, shaping animals into 478 00:31:05,200 --> 00:31:08,960 Speaker 1: things in order to prey upon other animals, that behaves 479 00:31:09,080 --> 00:31:12,320 Speaker 1: very much like the Thing. And so I want you 480 00:31:12,360 --> 00:31:16,200 Speaker 1: to take a look at these photos because it shows 481 00:31:16,640 --> 00:31:20,520 Speaker 1: a couple of ant mimics. So the first photo is 482 00:31:20,720 --> 00:31:24,680 Speaker 1: of a jumping spider ant mimic. Can you tell which 483 00:31:24,720 --> 00:31:28,000 Speaker 1: one is the ant, which one is the spider? Yes, 484 00:31:28,080 --> 00:31:31,080 Speaker 1: But until I knew what these pictures were of, I 485 00:31:31,240 --> 00:31:35,640 Speaker 1: just assumed I was looking at two ants. I'm very 486 00:31:35,680 --> 00:31:38,480 Speaker 1: I'm surprised, like now looking at him, like, oh, that 487 00:31:38,680 --> 00:31:42,000 Speaker 1: is a spider pretending doing its darndest to be an ant. 488 00:31:42,400 --> 00:31:47,960 Speaker 1: This is a real It's kind of cute. Yeah, this 489 00:31:47,960 --> 00:31:51,080 Speaker 1: this spider is really this is this is diabolical. Yeah, 490 00:31:51,760 --> 00:31:54,000 Speaker 1: Like I feel like if you saw this spider and 491 00:31:54,040 --> 00:31:56,320 Speaker 1: like squinted at it, he'd be like, don't don't blow 492 00:31:56,320 --> 00:32:01,400 Speaker 1: this for me. Shut up, dude, don't be an aren't 493 00:32:02,680 --> 00:32:06,960 Speaker 1: Well this first one is a little less diabolical, I think, 494 00:32:07,000 --> 00:32:10,680 Speaker 1: because this is actually a jumping spider mimicking an ant, 495 00:32:10,800 --> 00:32:14,320 Speaker 1: not to prey on the ants, but actually to steal 496 00:32:14,360 --> 00:32:18,360 Speaker 1: their identities so other spiders don't prey on it. Because 497 00:32:18,640 --> 00:32:22,000 Speaker 1: if a spider eats an ant, a real ant, it 498 00:32:22,160 --> 00:32:25,600 Speaker 1: runs the risk of the ants sending out distress pheromones 499 00:32:25,640 --> 00:32:28,440 Speaker 1: and then the whole colony coming in and attacking killing 500 00:32:28,440 --> 00:32:31,680 Speaker 1: the spider, which happens frequently. So spiders are like, okay, 501 00:32:31,680 --> 00:32:33,800 Speaker 1: I don't want to, like, you know, attack an ant. 502 00:32:34,120 --> 00:32:37,160 Speaker 1: So the jumping spider, which is often smaller spiders are 503 00:32:37,160 --> 00:32:39,520 Speaker 1: often the prey of bigger spiders, and the jumping spider, 504 00:32:39,600 --> 00:32:42,960 Speaker 1: a cute, little baby spider, is often the prey of 505 00:32:43,000 --> 00:32:46,600 Speaker 1: bigger spiders, so by imitating an ant, it is actually 506 00:32:47,160 --> 00:32:50,920 Speaker 1: standing a better chance of avoiding predation from larger spiders. 507 00:32:51,480 --> 00:32:54,760 Speaker 1: I love that a spider eating an ant will erupt 508 00:32:54,800 --> 00:32:58,280 Speaker 1: into a gang fight. Yeah, Like they'll just cut they'll 509 00:32:58,320 --> 00:33:03,120 Speaker 1: just come out and stump at spiders as right, No, 510 00:33:03,280 --> 00:33:08,200 Speaker 1: I mean like that's they have. That is their whole thing, right, safety, numbers, 511 00:33:08,280 --> 00:33:11,880 Speaker 1: safety and the colony. And if you you you have 512 00:33:12,080 --> 00:33:15,120 Speaker 1: to establish that basically you can't mess with us, or 513 00:33:15,160 --> 00:33:18,640 Speaker 1: else you get the whole whole colony up your butt. 514 00:33:19,160 --> 00:33:24,080 Speaker 1: Sometimes literally, Yeah, it's it's like the entire philosophy of 515 00:33:24,120 --> 00:33:26,560 Speaker 1: the ant I feel like is they showed up on 516 00:33:26,560 --> 00:33:30,000 Speaker 1: this earth and they were like, crap, we're ants were 517 00:33:30,080 --> 00:33:35,320 Speaker 1: like the smallest things we better like stick together exactly, 518 00:33:35,360 --> 00:33:39,560 Speaker 1: that's all we have. They probably start out as solitary insects, 519 00:33:39,640 --> 00:33:42,800 Speaker 1: and it ended up the more social they were, the 520 00:33:42,840 --> 00:33:48,120 Speaker 1: more successful they were. So the second photos are interesting 521 00:33:48,200 --> 00:33:52,240 Speaker 1: because this is a little more devious. Now these are 522 00:33:53,160 --> 00:33:57,480 Speaker 1: not ants. They look basically the first one especially looks 523 00:33:57,480 --> 00:34:01,040 Speaker 1: exactly like an ant, but this is actually the ant 524 00:34:01,200 --> 00:34:07,600 Speaker 1: mimicking predatory spider called the Karena ant like jumper, and 525 00:34:07,880 --> 00:34:11,080 Speaker 1: they are found in Southeast Asia. They mimic weaver ants, 526 00:34:11,320 --> 00:34:14,279 Speaker 1: and this is a form of aggressive mimicry because this 527 00:34:14,360 --> 00:34:17,240 Speaker 1: spider will pretend to be an ant, you know, sneak 528 00:34:17,320 --> 00:34:20,799 Speaker 1: up to an aunt, be like hello, fellow aunt, and 529 00:34:20,840 --> 00:34:23,359 Speaker 1: then you know, eat it if it gets caught by 530 00:34:23,400 --> 00:34:27,680 Speaker 1: another ant. It's like just doing normal ants stuff, you know, 531 00:34:28,520 --> 00:34:32,960 Speaker 1: taking care of this dead body, and they're like, I'm 532 00:34:33,000 --> 00:34:35,480 Speaker 1: going to have to report you and we're gonna have to. 533 00:34:38,000 --> 00:34:42,760 Speaker 1: Don't be a total buzz killed dude. This ants pretty 534 00:34:42,760 --> 00:34:48,080 Speaker 1: suss exact. Yeah. And then the and that's the female. 535 00:34:48,160 --> 00:34:50,879 Speaker 1: The female looks very much like an ant, and it's 536 00:34:50,920 --> 00:34:53,400 Speaker 1: like front legs kind of look like the feelers of 537 00:34:53,440 --> 00:34:56,000 Speaker 1: the ant even though their legs and they'll actually hold 538 00:34:56,040 --> 00:34:59,160 Speaker 1: them kind of like feelers and mimic the ant's behavior. 539 00:34:59,560 --> 00:35:05,560 Speaker 1: And male karinga ant like jumper spiders, actually are away crazier. 540 00:35:05,560 --> 00:35:07,080 Speaker 1: And I think I may have mentioned this on the 541 00:35:07,080 --> 00:35:09,640 Speaker 1: show before, but there's another detail that I want to 542 00:35:09,680 --> 00:35:13,719 Speaker 1: point out. So male karnga ant like jumper spiders, look 543 00:35:13,800 --> 00:35:17,439 Speaker 1: like two ants where one ant is holding the other 544 00:35:17,520 --> 00:35:21,600 Speaker 1: quote unquote ant, but it's just one spider, and like 545 00:35:21,840 --> 00:35:27,960 Speaker 1: the second ant is, it's giant things. So unlike the female, 546 00:35:28,160 --> 00:35:31,440 Speaker 1: it needs to compete with other males in mating, so 547 00:35:31,480 --> 00:35:34,480 Speaker 1: it needs these big set of things. But ants don't 548 00:35:34,520 --> 00:35:40,560 Speaker 1: have generally speaking, giant long fangs, so in order to 549 00:35:40,640 --> 00:35:44,480 Speaker 1: continue to pass off as an ant, it makes itself 550 00:35:44,520 --> 00:35:48,279 Speaker 1: look like two ants one carrying the other, except for 551 00:35:48,320 --> 00:35:51,520 Speaker 1: the horrifying moment that one of the ants splits open 552 00:35:51,640 --> 00:35:56,480 Speaker 1: into a giant set of fangs. It's the it's the 553 00:35:56,480 --> 00:36:01,040 Speaker 1: spider equivalent of two kids in a trench coat. Yeah, 554 00:36:01,080 --> 00:36:04,200 Speaker 1: the spiders really having to juggle a lot of things, right, 555 00:36:05,080 --> 00:36:07,239 Speaker 1: but yeah, it is. It's like it's like the thing 556 00:36:07,320 --> 00:36:09,160 Speaker 1: if the thing had to look like it was holding 557 00:36:09,160 --> 00:36:13,160 Speaker 1: a child, right, like then the child burst into tentacles 558 00:36:13,480 --> 00:36:17,120 Speaker 1: just has like like you know, child has like one 559 00:36:17,120 --> 00:36:19,560 Speaker 1: of the other ones like on the shoulders, and he's like, hey, guys, 560 00:36:19,640 --> 00:36:23,239 Speaker 1: this normal stuff. I love how these ants, like are 561 00:36:23,280 --> 00:36:28,160 Speaker 1: these spiders The female one has like terrifying spider mandibles 562 00:36:28,280 --> 00:36:31,240 Speaker 1: like the but like ants do too, just like slightly 563 00:36:31,280 --> 00:36:35,200 Speaker 1: different ones. So like an observant aunt would just be like, oh, 564 00:36:35,280 --> 00:36:39,520 Speaker 1: you're slightly more terrifying looking than us, not much more, 565 00:36:39,560 --> 00:36:43,120 Speaker 1: but your your creepy mouth is even creepier for some reason, right, 566 00:36:43,120 --> 00:36:45,440 Speaker 1: And they probably do a lot of like since just 567 00:36:45,560 --> 00:36:49,600 Speaker 1: sort of by feel, by tactile recognition, so probably their 568 00:36:49,600 --> 00:36:53,000 Speaker 1: eyesight is not super great, so but by like just 569 00:36:53,120 --> 00:36:56,839 Speaker 1: sweeping a leg over the spiders like oh you're you're, you're, 570 00:36:57,280 --> 00:37:01,520 Speaker 1: you're basically ant shaped, right, yeah, the male one, though, 571 00:37:01,560 --> 00:37:05,480 Speaker 1: it just feels like evolution just continuing to like right 572 00:37:05,640 --> 00:37:09,560 Speaker 1: over itself over and over again, like not erasing anything, 573 00:37:09,680 --> 00:37:13,080 Speaker 1: just adding and adding, like the like the female has 574 00:37:13,480 --> 00:37:17,120 Speaker 1: mastered it. That thing looks like an ant. The male 575 00:37:17,520 --> 00:37:21,359 Speaker 1: looks like a goblin. Yeah, females walking around like, hey, 576 00:37:21,400 --> 00:37:23,960 Speaker 1: I'm an aunt. The man was walking like him. I'm 577 00:37:24,680 --> 00:37:32,239 Speaker 1: everybody's like it comes. Hey, guys, just two ants. I 578 00:37:32,280 --> 00:37:35,120 Speaker 1: don't think that guy's two ants. I don't know what 579 00:37:35,160 --> 00:37:43,719 Speaker 1: that is aunt favorite beer. We were talking about Annihilation earlier, 580 00:37:43,800 --> 00:37:46,560 Speaker 1: but it is interesting because, like when you look at 581 00:37:46,600 --> 00:37:51,720 Speaker 1: evolution on a larger scale, that idea of weird transformations, 582 00:37:51,880 --> 00:37:55,600 Speaker 1: like in a weird melding of like different forms. Actually, 583 00:37:56,040 --> 00:37:59,160 Speaker 1: while it doesn't really happen across species like it does 584 00:37:59,520 --> 00:38:04,960 Speaker 1: in were distantly related species, in Annihilation, it does certainly happen. 585 00:38:05,040 --> 00:38:08,400 Speaker 1: We're like, we just had an episode actually Aban Bridget 586 00:38:08,400 --> 00:38:11,680 Speaker 1: We're on and we talked about carsonization, where everything just 587 00:38:11,719 --> 00:38:16,839 Speaker 1: starts to turn into crabs, like every uh, everything is crap, 588 00:38:17,200 --> 00:38:21,640 Speaker 1: Everything is crabs. Every crustacean starts to like evolve into 589 00:38:21,680 --> 00:38:27,000 Speaker 1: crab form at some point, I preferred like everything. You're 590 00:38:27,080 --> 00:38:29,080 Speaker 1: just like you turn on the faucet and it's like 591 00:38:29,120 --> 00:38:34,000 Speaker 1: crabs spiders. Spiders are starting to be more. They're like 592 00:38:34,120 --> 00:38:37,520 Speaker 1: crab spiders and look, maybe humans are next. I don't 593 00:38:37,600 --> 00:38:41,000 Speaker 1: have any quote unquote research to back that up, but 594 00:38:42,040 --> 00:38:45,280 Speaker 1: I like the idea that Mother Nature is like endgame 595 00:38:45,360 --> 00:38:50,080 Speaker 1: is crab like that Crab game. Yeah, we're all just 596 00:38:50,440 --> 00:38:53,520 Speaker 1: we're all just on our way to be crabs. Different 597 00:38:53,560 --> 00:38:56,719 Speaker 1: different age of Ultron kind of thing where he does 598 00:38:56,760 --> 00:39:01,839 Speaker 1: the he does this finger snap and everyone gets turned 599 00:39:01,920 --> 00:39:04,239 Speaker 1: to crabs. That would have been a better one. That'd 600 00:39:04,239 --> 00:39:07,800 Speaker 1: been a better wish, better magic gauntlet. Wish my wish. 601 00:39:08,840 --> 00:39:15,440 Speaker 1: Everyone's crabs now crab world. So another horror movie trope 602 00:39:15,520 --> 00:39:18,960 Speaker 1: that ants do is that scene in World war Z, 603 00:39:19,400 --> 00:39:21,759 Speaker 1: you know, the one where all the it's like the 604 00:39:21,800 --> 00:39:23,960 Speaker 1: only good scene in the World war Z the movie, 605 00:39:24,040 --> 00:39:26,799 Speaker 1: but like where all the zombies are piling on top 606 00:39:26,840 --> 00:39:31,320 Speaker 1: of each other to get over this wall. So ants 607 00:39:31,400 --> 00:39:35,840 Speaker 1: do this where they form bridges out of their bodies. 608 00:39:35,920 --> 00:39:38,920 Speaker 1: So at first it sounds, you know, pretty innocent and 609 00:39:39,000 --> 00:39:42,600 Speaker 1: simple enough, like these ants kind of cooperating together maybe, 610 00:39:42,800 --> 00:39:44,960 Speaker 1: but like when you actually look at the reality and 611 00:39:45,040 --> 00:39:47,880 Speaker 1: science behind it. It is very scary and it's like 612 00:39:48,280 --> 00:39:51,080 Speaker 1: even worse in some ways than that World Wars Z 613 00:39:51,320 --> 00:39:53,359 Speaker 1: scene because like in the World War Z scene, they're 614 00:39:53,400 --> 00:39:56,960 Speaker 1: just sort of creating like a pile, a zombie pile. 615 00:39:57,080 --> 00:40:00,520 Speaker 1: You know. It's like, okay, yeah, I guess kind of threatening. 616 00:40:01,080 --> 00:40:04,280 Speaker 1: So army ants have this behavior where they can actually 617 00:40:04,360 --> 00:40:09,120 Speaker 1: make these long bridge chains of ants. So I want 618 00:40:09,160 --> 00:40:13,080 Speaker 1: you guys to check out that video just for a second. Oh, 619 00:40:13,120 --> 00:40:15,520 Speaker 1: I've seen this. Yeah, I want to hang off of it. 620 00:40:15,560 --> 00:40:17,399 Speaker 1: Do you think you think they'd let me hang off 621 00:40:17,400 --> 00:40:21,279 Speaker 1: of it? No? Maybe? Don't you think I just end 622 00:40:21,360 --> 00:40:25,359 Speaker 1: up covered in ants? Maybe he dress as a big aunt, like, hey, 623 00:40:25,440 --> 00:40:27,760 Speaker 1: I'm here, I am also an aunt because they seem 624 00:40:27,800 --> 00:40:33,040 Speaker 1: pretty too. Yeah, describe what you're seeing here. It looks 625 00:40:33,080 --> 00:40:36,680 Speaker 1: like a jump rope like it. It's it's the awning 626 00:40:36,680 --> 00:40:40,240 Speaker 1: of a house, and it looks like from afar someone 627 00:40:40,320 --> 00:40:45,400 Speaker 1: has hung like maybe a cable of some sort off 628 00:40:45,440 --> 00:40:50,000 Speaker 1: off the edge of the house. Cable you could like 629 00:40:50,080 --> 00:40:52,600 Speaker 1: plant something on it, and then once you press play, 630 00:40:52,680 --> 00:40:56,640 Speaker 1: it does indeed begin to move and it it appears 631 00:40:56,680 --> 00:41:01,160 Speaker 1: to be honestly the most useless ant bridge I've seen 632 00:41:01,800 --> 00:41:06,280 Speaker 1: because they're forming this big loop list like drooping loop 633 00:41:06,640 --> 00:41:09,080 Speaker 1: so that they can get the equivalent of like one 634 00:41:09,120 --> 00:41:12,520 Speaker 1: and a half feet that they could probably just crawl 635 00:41:12,600 --> 00:41:14,799 Speaker 1: on the awning to get. It does seem like they're 636 00:41:14,800 --> 00:41:17,120 Speaker 1: showing off. So it's like a it's it's a big 637 00:41:17,200 --> 00:41:20,759 Speaker 1: chip purely made out of ants, this big chain of 638 00:41:20,800 --> 00:41:24,600 Speaker 1: ants like thick as a thick as a big cable 639 00:41:25,080 --> 00:41:27,200 Speaker 1: that goes from like sort of one end to the 640 00:41:27,280 --> 00:41:30,960 Speaker 1: awning sort of loops down and then goes up towards 641 00:41:31,040 --> 00:41:35,360 Speaker 1: what is actually a wasps nest. These are army ants. 642 00:41:35,360 --> 00:41:38,760 Speaker 1: So army ants describe a number of species of ants 643 00:41:38,880 --> 00:41:43,160 Speaker 1: that form aggressive groups of foraging ants, and this can 644 00:41:43,239 --> 00:41:47,319 Speaker 1: result in rivers of ants, towers of ants, and just 645 00:41:48,160 --> 00:41:53,759 Speaker 1: huge bridges of undulating ants. And when you you look 646 00:41:53,800 --> 00:41:56,359 Speaker 1: at this, it's like, okay, so why how are they 647 00:41:56,400 --> 00:41:58,440 Speaker 1: doing this? Like are they do they have some kind 648 00:41:58,440 --> 00:42:01,400 Speaker 1: of like pheromone signal where they're like, okay, make a bridge, 649 00:42:01,640 --> 00:42:04,680 Speaker 1: or is it some kind of altruism sort of thing 650 00:42:04,880 --> 00:42:09,800 Speaker 1: or like cooperation or emergent multimind or like the queen 651 00:42:09,960 --> 00:42:14,200 Speaker 1: going like okay, guys, go form a bridge. And the 652 00:42:14,280 --> 00:42:20,640 Speaker 1: reality is actually kind of frustratingly simple. So there is 653 00:42:21,040 --> 00:42:23,200 Speaker 1: just this very and we actually talked about this, I 654 00:42:23,239 --> 00:42:26,680 Speaker 1: think last week, just about how a very intelligent seeming 655 00:42:26,680 --> 00:42:30,439 Speaker 1: behavior can actually be really dumb simple behavior. But once 656 00:42:30,480 --> 00:42:33,920 Speaker 1: you multiply it by a bunch of individuals, the swarm 657 00:42:34,040 --> 00:42:38,000 Speaker 1: actually seems to be acting very intelligently. So here's the 658 00:42:38,040 --> 00:42:41,799 Speaker 1: basic algorithm that researchers have worked out that each dumb 659 00:42:41,880 --> 00:42:45,200 Speaker 1: little aunt brain does. So aunt comes across a gap 660 00:42:45,600 --> 00:42:49,560 Speaker 1: and it pauses because you know, it's like, oh, a gap, 661 00:42:49,880 --> 00:42:53,120 Speaker 1: and it stops. And then another aunt comes from behind 662 00:42:53,400 --> 00:42:57,000 Speaker 1: the first aunt, and that ant walks over the first 663 00:42:57,040 --> 00:42:59,280 Speaker 1: ant and then gets to the end of the first 664 00:42:59,320 --> 00:43:03,280 Speaker 1: ant and stops, and it's like, oh, I can't walk anymore. 665 00:43:03,840 --> 00:43:07,360 Speaker 1: And the first ant, when another ant is walking on 666 00:43:07,440 --> 00:43:11,839 Speaker 1: top of its back, it just instinctively freezes. And then 667 00:43:12,280 --> 00:43:15,160 Speaker 1: so when there are so this keeps happening over and 668 00:43:15,200 --> 00:43:18,439 Speaker 1: over again. Right, So it's like now there's like two 669 00:43:18,440 --> 00:43:20,879 Speaker 1: ants that are like stopped because like the first ant 670 00:43:21,040 --> 00:43:24,279 Speaker 1: is like, oh, someone's on top of me. I freeze now, 671 00:43:24,360 --> 00:43:26,200 Speaker 1: and then the second ant is like, oh, I can't 672 00:43:26,200 --> 00:43:29,160 Speaker 1: walk anymore. I stopped walking now. And the third ant 673 00:43:29,200 --> 00:43:32,319 Speaker 1: comes walks over both of them. They're like, okay, we're 674 00:43:32,400 --> 00:43:35,440 Speaker 1: stopped now. But this keeps happening over and over again 675 00:43:35,600 --> 00:43:39,360 Speaker 1: until you have an actual bridge of ants between the gap, 676 00:43:39,520 --> 00:43:43,239 Speaker 1: and then ants can start to cross it. So basically, 677 00:43:43,800 --> 00:43:47,440 Speaker 1: when there are enough ants trampling on the frozen ants backs, 678 00:43:47,520 --> 00:43:49,880 Speaker 1: they will stay in place because there's so much foot 679 00:43:49,880 --> 00:43:52,759 Speaker 1: traffic on top of them. But when traffic starts to 680 00:43:52,880 --> 00:43:57,480 Speaker 1: lighten up, they'll actually start to break apart and keep moving, 681 00:43:57,520 --> 00:43:59,840 Speaker 1: like as soon as they don't have so many ants 682 00:44:00,160 --> 00:44:04,239 Speaker 1: trampling over them. And this is like this very stupidly 683 00:44:04,480 --> 00:44:08,360 Speaker 1: simple algorithm, but then you multiply that times thousands and 684 00:44:08,440 --> 00:44:11,480 Speaker 1: thousands of ants, and that actually results in this very 685 00:44:11,600 --> 00:44:15,960 Speaker 1: complex group behavior that allows them to build bridges which 686 00:44:16,080 --> 00:44:20,920 Speaker 1: can increase movement efficiency and reach places of interest. Now, 687 00:44:21,080 --> 00:44:24,120 Speaker 1: in this case, it is interesting because like this looks 688 00:44:24,320 --> 00:44:28,120 Speaker 1: to be fairly unintelligent, right, like why would you form 689 00:44:28,200 --> 00:44:30,160 Speaker 1: this big loop of ants when you could just like 690 00:44:30,280 --> 00:44:34,319 Speaker 1: walk from the hive back to the like, So they're 691 00:44:34,360 --> 00:44:38,680 Speaker 1: they're going to the wasps nest in order to rate it, 692 00:44:38,800 --> 00:44:41,080 Speaker 1: like get all the larva and stuff and eat eat 693 00:44:41,120 --> 00:44:43,680 Speaker 1: all these things, and then what they'll do is they 694 00:44:43,800 --> 00:44:46,360 Speaker 1: like break apart their prey and then like bring it 695 00:44:46,440 --> 00:44:50,760 Speaker 1: back to their ant colony. But the fact that they've 696 00:44:50,760 --> 00:44:54,720 Speaker 1: formed the seemingly like superfluous loop instead of just walking 697 00:44:54,719 --> 00:44:58,640 Speaker 1: across the awning. It could either just be sort of 698 00:44:58,680 --> 00:45:01,359 Speaker 1: the algorithm just being kind of dumb. I mean, like 699 00:45:01,440 --> 00:45:04,400 Speaker 1: any computer programmer probably knows when this happens when you 700 00:45:04,440 --> 00:45:08,280 Speaker 1: write a program, and sometimes it's not completely efficient because 701 00:45:08,440 --> 00:45:11,560 Speaker 1: it just happens to start this behavior that will keep going. 702 00:45:12,480 --> 00:45:14,840 Speaker 1: Or it could be that like there are ants that 703 00:45:14,880 --> 00:45:17,320 Speaker 1: are trying to walk across the roof, but it's harder 704 00:45:17,400 --> 00:45:21,560 Speaker 1: for them to carry things on this flat surface upside 705 00:45:21,600 --> 00:45:26,799 Speaker 1: down or something. I'm not sure. It's very interesting. They're 706 00:45:26,840 --> 00:45:29,759 Speaker 1: just trying to get their their their wiggles out. I 707 00:45:29,840 --> 00:45:33,000 Speaker 1: was gonna I was gonna make a joke about like 708 00:45:33,080 --> 00:45:36,280 Speaker 1: the the uselessness of being one of those bridge ants 709 00:45:36,760 --> 00:45:40,440 Speaker 1: just sitting there like in one place, not not serving 710 00:45:40,480 --> 00:45:43,960 Speaker 1: a very simple purpose to make this flimsy bridge for 711 00:45:44,000 --> 00:45:46,480 Speaker 1: the better ants to like walk across. And then I 712 00:45:46,520 --> 00:45:51,239 Speaker 1: remembered like society and jobs, and was like, oh, all right, 713 00:45:51,719 --> 00:45:55,120 Speaker 1: you remember we live in a society. Yeah, we live 714 00:45:55,160 --> 00:45:57,680 Speaker 1: in a society. Do the ants get to like talk 715 00:45:57,719 --> 00:45:59,920 Speaker 1: to each other, at least when they're in the bridge, 716 00:46:00,280 --> 00:46:03,759 Speaker 1: you know, how's your how's your aunt wife? And then 717 00:46:03,760 --> 00:46:06,200 Speaker 1: the other times like we're all sisters, what are you 718 00:46:06,239 --> 00:46:09,200 Speaker 1: talking about? And then the third ants like I'm not 719 00:46:09,320 --> 00:46:15,040 Speaker 1: a spider, guys, a spider, the spider would know how 720 00:46:15,080 --> 00:46:17,400 Speaker 1: to do it right. The spider would mess it up, 721 00:46:18,160 --> 00:46:21,560 Speaker 1: really give it give itself away in this situation, who 722 00:46:22,719 --> 00:46:26,160 Speaker 1: do you guys? What do you mean? Hang eight? I mean, 723 00:46:29,600 --> 00:46:32,160 Speaker 1: is there is there a Pixar movie in this where 724 00:46:32,160 --> 00:46:35,080 Speaker 1: a spider like is gonna eat the ants? And then 725 00:46:35,120 --> 00:46:37,160 Speaker 1: like or it's just it's just trying to get away 726 00:46:37,200 --> 00:46:40,359 Speaker 1: from its spider family and does this and then like 727 00:46:40,520 --> 00:46:42,760 Speaker 1: it's you know, the ants find out and they accept 728 00:46:42,840 --> 00:46:51,359 Speaker 1: them anyway. So let's talk about ancient aunt vampires. Let 729 00:46:51,360 --> 00:46:54,000 Speaker 1: me tell the story of this ancient ant vampire, and 730 00:46:54,120 --> 00:46:57,440 Speaker 1: someone please write a fan fiction. Make it really, make 731 00:46:57,480 --> 00:47:04,360 Speaker 1: it really horny and inappropriate. Yes, would be vampire right? Nice, 732 00:47:04,960 --> 00:47:09,440 Speaker 1: very good. So a million year old chunk of amber 733 00:47:09,560 --> 00:47:14,720 Speaker 1: was found with the demonic vampire hell ant inside. So 734 00:47:15,040 --> 00:47:18,080 Speaker 1: this ant is extinct for now, we do have it 735 00:47:18,160 --> 00:47:21,000 Speaker 1: trapped in amber, so you know, you know where that 736 00:47:21,239 --> 00:47:25,480 Speaker 1: it's blood and make dinosaurs. Yeah, I mean make just 737 00:47:25,560 --> 00:47:28,480 Speaker 1: make more of these ants and call it aunt Park 738 00:47:28,719 --> 00:47:36,040 Speaker 1: and people still die and go out of business part 739 00:47:36,320 --> 00:47:41,120 Speaker 1: by each gigantic island. Uh set up big fences and 740 00:47:41,160 --> 00:47:45,160 Speaker 1: just release the It's like that seeing this the big 741 00:47:45,200 --> 00:47:50,040 Speaker 1: reveal where the two paleontologists are like, they're like, oh 742 00:47:50,080 --> 00:47:53,000 Speaker 1: my god, there's actually dinosaurs, except like one. They're like 743 00:47:53,680 --> 00:47:55,560 Speaker 1: the music swells and you look out and there's like 744 00:47:55,640 --> 00:47:57,839 Speaker 1: nothing there, and then they're like, you know down there, 745 00:47:57,920 --> 00:48:02,640 Speaker 1: and then it's like donna na closer. Done on. I 746 00:48:02,719 --> 00:48:05,239 Speaker 1: still can't know. Okay there. I think that's one right 747 00:48:05,280 --> 00:48:09,360 Speaker 1: of it done on on on. There's one Jeff Goldblum 748 00:48:09,360 --> 00:48:11,440 Speaker 1: type who's like, you can't do this and they're like, 749 00:48:11,640 --> 00:48:14,359 Speaker 1: what you think it's irresponsible? Like no, it's just a 750 00:48:14,400 --> 00:48:18,080 Speaker 1: bad business, terrible idea. Nobody's gonna pay money to see 751 00:48:18,080 --> 00:48:21,239 Speaker 1: these ants. I don't care about the morality. It's just 752 00:48:21,960 --> 00:48:27,520 Speaker 1: it's just there ants. Well, I think these ants are cool, 753 00:48:27,600 --> 00:48:31,120 Speaker 1: you guys anything. I think if you hear about these ants, 754 00:48:31,120 --> 00:48:34,000 Speaker 1: you'll think they're cool too. So this is called a 755 00:48:34,280 --> 00:48:42,239 Speaker 1: lingua mar Max vladdy Sure, lingua mar Max Vladdie and 756 00:48:42,280 --> 00:48:47,240 Speaker 1: I'm imagining that Vladdie is referencing Vlad like a vampire, 757 00:48:48,480 --> 00:48:51,440 Speaker 1: a species in a group of ants called hell ants, 758 00:48:51,760 --> 00:48:57,280 Speaker 1: because their mandibles were just giant sides, like big curved blades. 759 00:48:57,840 --> 00:49:02,279 Speaker 1: So these sides like job swooped down on the underside 760 00:49:02,280 --> 00:49:06,120 Speaker 1: of the jaw and snap upwards and like this very 761 00:49:06,600 --> 00:49:12,600 Speaker 1: very violent underbite. Most modern ants, like their mandibles move horizontally, 762 00:49:12,640 --> 00:49:15,480 Speaker 1: like side to side, you know, just a little kind 763 00:49:15,480 --> 00:49:18,040 Speaker 1: of thinging on there. But these ones it was like 764 00:49:18,160 --> 00:49:21,319 Speaker 1: up and down, like this sort of upside down guillotine 765 00:49:21,400 --> 00:49:25,439 Speaker 1: made out of sickles. And their jaws are surrounded by 766 00:49:25,680 --> 00:49:29,279 Speaker 1: sensitive hairs that allowed the jaw to snap shut. So 767 00:49:29,400 --> 00:49:31,880 Speaker 1: like these trigger hairs that if something brushes against them, 768 00:49:31,880 --> 00:49:35,520 Speaker 1: the jaw is kind of flap shut, which probably easily 769 00:49:35,560 --> 00:49:40,480 Speaker 1: decapitated unsuspecting prey. And on the upper part of their 770 00:49:40,600 --> 00:49:45,600 Speaker 1: jaw is a hard, flat anvil that actually had metal 771 00:49:45,760 --> 00:49:49,840 Speaker 1: particles in it to reinforce it. So basically they have 772 00:49:49,960 --> 00:49:52,479 Speaker 1: like a chopping block on the top of their jaw 773 00:49:52,640 --> 00:49:55,239 Speaker 1: and like a big axe on the bottom of their 774 00:49:55,320 --> 00:49:59,480 Speaker 1: jaw that comes up and chops against this like anvil, 775 00:49:59,640 --> 00:50:03,520 Speaker 1: and if it doesn't decapitate their prey. It like crushes 776 00:50:03,560 --> 00:50:08,719 Speaker 1: it or punctures it. And uh also, um, there are 777 00:50:08,840 --> 00:50:12,560 Speaker 1: vampires because when you have a guillotine on your face, 778 00:50:12,680 --> 00:50:16,279 Speaker 1: you can't really chew, so they had to suck the 779 00:50:16,320 --> 00:50:22,920 Speaker 1: blood and other essential goo out of their victims. Just 780 00:50:23,000 --> 00:50:27,560 Speaker 1: dudes like trap chaw the heman villain. Yeah, this ant's 781 00:50:27,600 --> 00:50:32,920 Speaker 1: ready for the spider, the spider. Like this is like 782 00:50:32,960 --> 00:50:36,120 Speaker 1: a reverse trap like the spider. It would come up like, hey, 783 00:50:36,120 --> 00:50:39,080 Speaker 1: I'm just an ant. If the spider comes in there, 784 00:50:39,080 --> 00:50:44,640 Speaker 1: like the Steve BUSSETI meme, Hello fellow, it's only seeing 785 00:50:44,640 --> 00:50:47,120 Speaker 1: the ant from from the behind, and then the ant 786 00:50:47,160 --> 00:50:51,880 Speaker 1: turns around, so it's like, yeah, yeah, this thing, this 787 00:50:51,960 --> 00:50:54,440 Speaker 1: is a cool ant. Why don't we have these ants anymore? 788 00:50:55,080 --> 00:50:59,560 Speaker 1: I mean potentially trading off your ability to chew things 789 00:50:59,760 --> 00:51:06,879 Speaker 1: with a giant guillotine face. I guess probably like the 790 00:51:06,960 --> 00:51:11,360 Speaker 1: more streamlined ants one out in that. Yeah, yeah, but 791 00:51:11,400 --> 00:51:14,960 Speaker 1: they're less cool. Yeah. I feel like evolution would have 792 00:51:15,040 --> 00:51:18,640 Speaker 1: favored them if they existed when we existed, and like 793 00:51:18,760 --> 00:51:23,399 Speaker 1: ant farms would be a more lucrative business. We'd love 794 00:51:23,440 --> 00:51:26,000 Speaker 1: these ants. I would I would have an ant farm. 795 00:51:27,080 --> 00:51:31,640 Speaker 1: I mean artificial selection. Definitely in terms of our human preferences. 796 00:51:31,680 --> 00:51:37,600 Speaker 1: We do love a monster, look at love a good monster. Yeah, 797 00:51:37,880 --> 00:51:42,600 Speaker 1: this is basically the pug of ants. Let's let's let's 798 00:51:42,640 --> 00:51:45,520 Speaker 1: do like weird cross breeding until all of their legs 799 00:51:45,560 --> 00:51:51,359 Speaker 1: are sickles too. Yeah about pugs right, yes, yeah, talking 800 00:51:51,360 --> 00:51:55,560 Speaker 1: about turning pugs into just these little knife beasts. Ye cute, 801 00:51:56,440 --> 00:52:02,680 Speaker 1: dug the pugs, but it's not nice. Yeah. Ants can 802 00:52:02,719 --> 00:52:06,520 Speaker 1: be pests at picnics, but are they actually dangerous to humans? 803 00:52:06,880 --> 00:52:09,399 Speaker 1: While most ants may not be able to kill you, 804 00:52:09,640 --> 00:52:14,080 Speaker 1: some species can. The Maricopa harvester ant found in the 805 00:52:14,160 --> 00:52:18,120 Speaker 1: southwest United States and in Mexico have been a more 806 00:52:18,239 --> 00:52:22,600 Speaker 1: potent than honey bees that produces extreme pain and humans. 807 00:52:23,000 --> 00:52:26,839 Speaker 1: It can also be potentially deadly because they send out 808 00:52:26,880 --> 00:52:30,560 Speaker 1: an alarm pheromone that triggers other ants to sting as well. 809 00:52:31,040 --> 00:52:33,719 Speaker 1: A few hundred stings and you may be dead meat 810 00:52:33,760 --> 00:52:36,960 Speaker 1: if you don't get medical attention. When we return, we're 811 00:52:36,960 --> 00:52:39,960 Speaker 1: going to play a little auditory game, So turn your 812 00:52:40,000 --> 00:52:48,359 Speaker 1: headphones up and your lights out. Imagine you're camping, the 813 00:52:48,440 --> 00:52:51,720 Speaker 1: sun has set, the stars are out, and you're sitting 814 00:52:51,800 --> 00:52:56,200 Speaker 1: by a dim dying camp fire. There's the din of crickets, 815 00:52:56,239 --> 00:52:59,680 Speaker 1: the wind blowing through the trees, and all of a sudden, 816 00:53:00,040 --> 00:53:13,960 Speaker 1: you here. So, guys, we're going to play a game. 817 00:53:14,719 --> 00:53:17,520 Speaker 1: I'm gonna play a sound, and you're gonna guess what 818 00:53:17,560 --> 00:53:21,879 Speaker 1: it is. Okay, do you guess what that one was? Yeah? 819 00:53:22,080 --> 00:53:28,239 Speaker 1: Go for it. Um, I don't know. I feel like, 820 00:53:28,400 --> 00:53:31,680 Speaker 1: is it is it? Is it? Bobcat gold Swate, Yeah, 821 00:53:31,920 --> 00:53:36,080 Speaker 1: it is it? Bobcat gold sway on acid in the woods. 822 00:53:37,120 --> 00:53:41,920 Speaker 1: UM's no, all right. The first instinct some kind of bird, 823 00:53:42,440 --> 00:53:45,719 Speaker 1: because birds are allowed all the time, and so that 824 00:53:45,760 --> 00:53:48,440 Speaker 1: sounds like some sort of crow. But I could actually 825 00:53:48,480 --> 00:53:53,080 Speaker 1: see it being some kind of actual like Bobcat, not gold, 826 00:53:53,480 --> 00:53:58,320 Speaker 1: not gold slate, but also gold Swate sounds gold regular, regular, 827 00:53:58,680 --> 00:54:04,759 Speaker 1: Bob Bobcat classic. This is actually the call of a 828 00:54:04,920 --> 00:54:09,320 Speaker 1: red fox, which is like when I think of a fox, 829 00:54:09,400 --> 00:54:11,000 Speaker 1: I don't think I think of them sort of maybe 830 00:54:11,000 --> 00:54:13,600 Speaker 1: going like rank or a meal. They don't really mew, 831 00:54:13,840 --> 00:54:15,840 Speaker 1: but you know, I just think like a fox noise 832 00:54:15,880 --> 00:54:21,160 Speaker 1: to me is definitely not like ra Yeah, like an 833 00:54:21,200 --> 00:54:27,200 Speaker 1: existential screen. Yeah, they make like weird chirping noises. They 834 00:54:27,280 --> 00:54:31,560 Speaker 1: do that too. Yeah, fox noises are really unique. That's 835 00:54:31,640 --> 00:54:35,440 Speaker 1: the that's the that's that. I guess what was a 836 00:54:35,520 --> 00:54:39,239 Speaker 1: Swedish music video with the Fox saying like wrap up 837 00:54:42,239 --> 00:54:44,440 Speaker 1: and that isn't it? They were wrong? Yeah, no, that 838 00:54:44,560 --> 00:54:47,600 Speaker 1: is not what the fox there. The Fox does sometimes 839 00:54:47,600 --> 00:54:50,880 Speaker 1: say that as well, But they also say this and 840 00:54:50,920 --> 00:54:55,680 Speaker 1: this is either a territory warning call or I don't know, 841 00:54:55,800 --> 00:54:58,759 Speaker 1: potentially a noise they make while they're mating. I think 842 00:54:58,840 --> 00:55:01,560 Speaker 1: this one is the territory morning call. But they do 843 00:55:01,680 --> 00:55:04,480 Speaker 1: make weird screams while they're making as well. I like that. 844 00:55:04,640 --> 00:55:07,320 Speaker 1: We apparently can't tell the difference between those two things. 845 00:55:07,360 --> 00:55:12,680 Speaker 1: I'm sure a foxologists could, but I care one of 846 00:55:12,760 --> 00:55:18,760 Speaker 1: them big city scientists. I'm no big city Fox lawyer. 847 00:55:20,920 --> 00:55:24,120 Speaker 1: I'm going to play another sound for you to guess 848 00:55:24,760 --> 00:55:47,560 Speaker 1: and one and a two and here we go, all right. 849 00:55:50,440 --> 00:55:53,440 Speaker 1: That had an evolution, Like at first I thought was 850 00:55:53,560 --> 00:55:56,880 Speaker 1: someone distantly having a party. I thought somebody was like 851 00:55:56,920 --> 00:55:59,840 Speaker 1: playing some steel drums for a second, and then I 852 00:55:59,880 --> 00:56:02,400 Speaker 1: was like, oh, is a coffee maker running out of water? 853 00:56:03,120 --> 00:56:06,479 Speaker 1: And then I was like, oh am I hearing hell? Yeah? 854 00:56:06,840 --> 00:56:14,400 Speaker 1: Is this hell? Um? Is Satan choking? Satan's choking on 855 00:56:14,440 --> 00:56:18,279 Speaker 1: a pretzel? Satan's chicken bones stuck in his throat. Yeah, 856 00:56:18,400 --> 00:56:21,560 Speaker 1: I'm going to guess some sort of monkey or ape. Oh, 857 00:56:21,600 --> 00:56:26,440 Speaker 1: I'm gonna guess some sort of reptile or amphibious creature 858 00:56:26,480 --> 00:56:28,560 Speaker 1: like a frog or something. Yeah, like some sort of 859 00:56:28,600 --> 00:56:34,920 Speaker 1: stupid toad. This is actually a koala. I don't like 860 00:56:35,000 --> 00:56:38,680 Speaker 1: that at all. Get that right out of here. This 861 00:56:38,760 --> 00:56:44,440 Speaker 1: is a male koala showing dominance behavior, announcing his position 862 00:56:44,640 --> 00:56:49,560 Speaker 1: with a low, growling rumble. And this is so the 863 00:56:49,680 --> 00:56:53,120 Speaker 1: koalas don't have to fight as much. So like if 864 00:56:53,160 --> 00:56:56,720 Speaker 1: they have a territorial call, much like in other animals 865 00:56:56,719 --> 00:57:01,719 Speaker 1: that have territorial calls, they are announcing their presence basically saying, hey, 866 00:57:01,760 --> 00:57:05,040 Speaker 1: this is my area, and that just kind of helps 867 00:57:05,480 --> 00:57:08,839 Speaker 1: reduce the amount of scuffles they have to get into. 868 00:57:09,440 --> 00:57:13,480 Speaker 1: And koalas will scuffle. They seem cute and cuddly, but 869 00:57:13,600 --> 00:57:18,600 Speaker 1: don't they are. Yeah. Is this the koala equivalent? Like 870 00:57:19,000 --> 00:57:21,160 Speaker 1: if you have property and you don't want people to 871 00:57:21,200 --> 00:57:24,040 Speaker 1: wander on, you can hang like a bunch of doll 872 00:57:24,120 --> 00:57:27,200 Speaker 1: heads and nobody's coming. You know, no one's going to 873 00:57:27,320 --> 00:57:31,680 Speaker 1: cross that property line. Is this the koala equivalent where 874 00:57:31,680 --> 00:57:34,440 Speaker 1: they're like and other qualies like I don't know, I 875 00:57:34,480 --> 00:57:37,880 Speaker 1: don't know what that playing kid rock really loud? Ye 876 00:57:38,680 --> 00:57:42,520 Speaker 1: your speakers, Yeah, I don't do it both that in 877 00:57:42,600 --> 00:57:45,760 Speaker 1: dull heads that Yeah, you're guaranteed not to get any guests, 878 00:57:46,960 --> 00:57:58,880 Speaker 1: all right. So now onto the next sound and just 879 00:57:58,960 --> 00:58:09,440 Speaker 1: a little, a little additional one here. So what do 880 00:58:09,520 --> 00:58:14,480 Speaker 1: you think that is a poltergeist? I think it's I 881 00:58:14,520 --> 00:58:18,760 Speaker 1: think it's a Nicolas Cage performance. You know, what it 882 00:58:18,800 --> 00:58:21,880 Speaker 1: does sound like is one of those rubber chickens that 883 00:58:21,960 --> 00:58:24,800 Speaker 1: you squeeze and then when you release it like screams. 884 00:58:25,240 --> 00:58:27,960 Speaker 1: I got a little bit of wolf howl at the end, 885 00:58:28,480 --> 00:58:32,800 Speaker 1: and so I'm guessing it's some sort of dog beast. 886 00:58:33,840 --> 00:58:38,560 Speaker 1: I'm thinking of bird a right, Dave, You're actually very 887 00:58:38,560 --> 00:58:42,880 Speaker 1: close on this one. This is a new Guinea singing dog, 888 00:58:43,280 --> 00:58:47,160 Speaker 1: which actually is probably makes the same sound as the 889 00:58:47,320 --> 00:58:51,800 Speaker 1: new Guinea Highland wild dogs because they're very very closely related. 890 00:58:52,160 --> 00:58:55,520 Speaker 1: So a little background. The new Guinea singing dogs are 891 00:58:55,640 --> 00:59:00,919 Speaker 1: dogs that were probably domesticated from Highland wild dogs or 892 00:59:01,200 --> 00:59:04,560 Speaker 1: even just tamed. I don't know how genetically different they 893 00:59:04,560 --> 00:59:07,400 Speaker 1: are from the wild version of these dogs. They do 894 00:59:07,480 --> 00:59:11,760 Speaker 1: not bark. Instead, they sing or how which often has 895 00:59:11,880 --> 00:59:16,840 Speaker 1: that spooky thing at the end where it sounds haunted. 896 00:59:16,880 --> 00:59:18,640 Speaker 1: I'll play it for you again to see you remember. 897 00:59:26,640 --> 00:59:32,640 Speaker 1: And what's interesting is that wolves and other wild canines 898 00:59:32,800 --> 00:59:36,280 Speaker 1: do not typically bark, at least not in the same 899 00:59:36,320 --> 00:59:40,240 Speaker 1: way that dogs bark, because barking was an adaptation that 900 00:59:40,320 --> 00:59:46,120 Speaker 1: domesticated dogs developed after humans selected for watchdogs. So it's 901 00:59:46,240 --> 00:59:51,240 Speaker 1: very significant that these dogs do not bark much because 902 00:59:51,240 --> 00:59:55,280 Speaker 1: it indicates that they are more wild and earlier on 903 00:59:55,400 --> 01:00:00,520 Speaker 1: the evolutionary tree than your typical dog. So it's there's 904 01:00:00,560 --> 01:00:03,240 Speaker 1: a lot of like debate about like where they are 905 01:00:03,280 --> 01:00:06,880 Speaker 1: in terms of dogs evolution from their wolf like ancestors, 906 01:00:07,400 --> 01:00:11,040 Speaker 1: But it seems like it may be sort of a 907 01:00:11,080 --> 01:00:15,040 Speaker 1: separate branch that like remained wild for a while longer 908 01:00:15,520 --> 01:00:19,400 Speaker 1: before humans sort of re like took that sort of 909 01:00:19,400 --> 01:00:24,840 Speaker 1: like wonky branch and then domesticated them a little more. Okay, 910 01:00:24,840 --> 01:00:27,280 Speaker 1: so there was domestication involved, because I'm looking at a 911 01:00:27,280 --> 01:00:30,440 Speaker 1: picture and it looks like a domesticated dog. I have 912 01:00:30,480 --> 01:00:35,240 Speaker 1: a theory, sure is that we domesticated them then they 913 01:00:35,280 --> 01:00:39,720 Speaker 1: started doing that and we stopped domesticating them. We were like, oh, 914 01:00:39,760 --> 01:00:43,479 Speaker 1: never mind, I can't have you in our house every 915 01:00:43,520 --> 01:00:47,520 Speaker 1: if every time the mailman comes, I think I've crossed 916 01:00:47,560 --> 01:00:53,400 Speaker 1: over into that. No, thank you, no, thank you, dog. 917 01:00:53,480 --> 01:00:57,080 Speaker 1: You win, you win this round of domestication. Here's a 918 01:00:57,120 --> 01:01:00,160 Speaker 1: fun fact. They can rotate their pause to help them 919 01:01:00,160 --> 01:01:04,200 Speaker 1: catch prey or open door knobs. You know. Oh no, oh, 920 01:01:04,240 --> 01:01:06,160 Speaker 1: that's not good. I don't need this thing coming into 921 01:01:06,160 --> 01:01:10,600 Speaker 1: my house again. You get one. It walks into your 922 01:01:10,720 --> 01:01:14,960 Speaker 1: room and like opens the door and goes it's knock, 923 01:01:15,080 --> 01:01:17,840 Speaker 1: door knob, just slowly turns in a little dog face 924 01:01:17,920 --> 01:01:23,720 Speaker 1: sticks and it's like, not interested. Dog. I don't need 925 01:01:23,800 --> 01:01:27,520 Speaker 1: any of this. So now here's my last sound for 926 01:01:27,560 --> 01:01:41,439 Speaker 1: you guys to guess about. And what do you think 927 01:01:41,520 --> 01:01:46,440 Speaker 1: is making that sound? I'm gonna go with wishful thinking 928 01:01:47,200 --> 01:01:50,520 Speaker 1: and say it's a worm I wanted to be. I 929 01:01:50,560 --> 01:01:57,120 Speaker 1: want a screaming worm to exist yet like an angry bat. Yeah, 930 01:01:57,280 --> 01:02:00,720 Speaker 1: I can see something like that. This is actually a 931 01:02:00,920 --> 01:02:07,120 Speaker 1: barn owl. So most owls make a lovely little like sound, 932 01:02:07,360 --> 01:02:12,800 Speaker 1: but barn owls scream like they're being murdered. And the 933 01:02:12,960 --> 01:02:16,800 Speaker 1: call is used by males to attract mates and to 934 01:02:17,000 --> 01:02:21,640 Speaker 1: invite females to check out potential nest sites, whereas females 935 01:02:21,800 --> 01:02:25,600 Speaker 1: use the screeching call to ask males to give them food. 936 01:02:26,200 --> 01:02:29,800 Speaker 1: So it's actually a pretty like sweet thing. Basically, these 937 01:02:29,840 --> 01:02:32,880 Speaker 1: owls are screaming at each other, but then in the subtitles, 938 01:02:32,920 --> 01:02:36,480 Speaker 1: it's like, honey, would you like to come over and 939 01:02:36,560 --> 01:02:38,320 Speaker 1: check out this nesting side. I think it has an 940 01:02:38,320 --> 01:02:42,160 Speaker 1: excellent view. Honey, could you get me that dead mouse? 941 01:02:42,200 --> 01:02:47,200 Speaker 1: I'm feeling kind of peckish? Right? Yeah, that owls are 942 01:02:47,240 --> 01:02:52,200 Speaker 1: the weirdest things we have. Yeah, there's sky cats. They 943 01:02:52,200 --> 01:02:55,800 Speaker 1: don't they don't. They don't seem to have like bones. 944 01:02:56,120 --> 01:02:59,840 Speaker 1: They do have bones. I don't know they're they're they're real. 945 01:03:00,160 --> 01:03:03,000 Speaker 1: They don't have bones, but they have ears that are asymmetrical, 946 01:03:03,080 --> 01:03:05,920 Speaker 1: so one earhole is lower than the other earhole to 947 01:03:05,960 --> 01:03:12,720 Speaker 1: give them more depth perception with their hearing. Okay, um, yeah, alright, 948 01:03:12,720 --> 01:03:16,600 Speaker 1: cool the sound of a of a defeated man. You 949 01:03:16,600 --> 01:03:21,960 Speaker 1: you you implied they established owl relationship with these screams. 950 01:03:21,960 --> 01:03:25,800 Speaker 1: You can both be a come on like to sort 951 01:03:25,840 --> 01:03:28,480 Speaker 1: of I was thinking, like, hey, baby, check out my path, right, 952 01:03:28,600 --> 01:03:31,560 Speaker 1: like to seduce some mate, But it can also be 953 01:03:31,680 --> 01:03:34,520 Speaker 1: to communicate with a mate, like check out this nesting site, 954 01:03:34,720 --> 01:03:37,400 Speaker 1: or I'm hungry, please feed me, which is what the 955 01:03:37,440 --> 01:03:43,160 Speaker 1: sound that I make when I'm hungry. Also there's yeah, 956 01:03:43,640 --> 01:03:46,760 Speaker 1: it's just I will. This is exactly the kind of 957 01:03:46,800 --> 01:03:49,480 Speaker 1: the kind of malarchy i'd expect an owl to do 958 01:03:49,800 --> 01:03:52,680 Speaker 1: because they gotta make They're just having a casual conversation 959 01:03:52,680 --> 01:03:55,920 Speaker 1: and they got to freak everybody out around them because 960 01:03:55,960 --> 01:04:00,080 Speaker 1: that's just what they do. Yeah, yeah, I mean, I 961 01:04:00,080 --> 01:04:02,760 Speaker 1: I do like an owl. I also like how you 962 01:04:02,800 --> 01:04:05,240 Speaker 1: look at you like sort of lift up there sort 963 01:04:05,240 --> 01:04:07,560 Speaker 1: of skirts skirt feathers and you lift them up in 964 01:04:07,600 --> 01:04:10,360 Speaker 1: their legs are just big and swollen. It's very good. 965 01:04:11,040 --> 01:04:15,120 Speaker 1: I'm not against I'm not against owls. It's just there's 966 01:04:15,160 --> 01:04:17,920 Speaker 1: always what now with owls. Like if I saw an 967 01:04:17,960 --> 01:04:23,600 Speaker 1: owl and then it suddenly like like turned into two owls, 968 01:04:23,600 --> 01:04:26,560 Speaker 1: like separated the two, I'd be like, I guess that's 969 01:04:26,560 --> 01:04:28,920 Speaker 1: the thing they can do, because like, nothing would be 970 01:04:28,960 --> 01:04:32,280 Speaker 1: surprised me about owls. They're they're weird little creatures that 971 01:04:32,400 --> 01:04:35,240 Speaker 1: just flutter around and go about your like what are 972 01:04:35,360 --> 01:04:38,760 Speaker 1: what is their world? There's nothing better than a group 973 01:04:38,880 --> 01:04:43,040 Speaker 1: of baby barn owls sort of as a group because 974 01:04:43,080 --> 01:04:46,640 Speaker 1: their feathers haven't really grown in yet, and they're very defensive. 975 01:04:46,800 --> 01:04:48,960 Speaker 1: So you take a video of them and they're kind 976 01:04:48,960 --> 01:04:51,560 Speaker 1: of waving their head around like what are you going 977 01:04:51,600 --> 01:04:53,720 Speaker 1: to do about it? Huh broke, what are you gonna 978 01:04:53,760 --> 01:04:56,360 Speaker 1: do about it? And they're like basically naked. They look 979 01:04:56,440 --> 01:04:59,720 Speaker 1: like aliens and probably one of them's gotta like a mouse, 980 01:04:59,800 --> 01:05:01,480 Speaker 1: how down its throat? Like? There are a lot of 981 01:05:01,560 --> 01:05:04,720 Speaker 1: videos that you can see where you know, barn owls 982 01:05:04,800 --> 01:05:09,160 Speaker 1: just top notch, top notch animals in terms of just 983 01:05:09,440 --> 01:05:14,880 Speaker 1: making a dramatic scene, the real Edged Lords. Yeah, have 984 01:05:14,960 --> 01:05:19,000 Speaker 1: you seen the owl documentary um Legends of the Guardians 985 01:05:19,640 --> 01:05:23,720 Speaker 1: the Owls of Goole? No? I have not, so clearly 986 01:05:23,760 --> 01:05:28,920 Speaker 1: I don't know everything about owls. Have you seen a Dave? Yes, 987 01:05:29,000 --> 01:05:32,840 Speaker 1: this is a good movie. M hmm. It's definitely got 988 01:05:32,840 --> 01:05:36,120 Speaker 1: a lot of owls in it. Yeah, it's definitely of 989 01:05:36,360 --> 01:05:42,680 Speaker 1: one owl? How many els? Too many owls? Like a 990 01:05:42,760 --> 01:05:48,040 Speaker 1: whole lot of owls? Are telling me is that this 991 01:05:48,120 --> 01:05:54,760 Speaker 1: movie was not a hoot, not a hoot. It has 992 01:05:54,800 --> 01:05:58,880 Speaker 1: owl fascists in it. Well, alright, so I'm gonna go 993 01:05:58,920 --> 01:06:01,440 Speaker 1: with not a just gonna do one more. We're going 994 01:06:01,480 --> 01:06:03,400 Speaker 1: to do one more sound. We're going to end the 995 01:06:03,440 --> 01:06:08,960 Speaker 1: episode on that note. What do you think that is? Shoot? 996 01:06:10,440 --> 01:06:15,120 Speaker 1: Oh man, that's definitely like, yeah, that's some some kind 997 01:06:15,160 --> 01:06:21,560 Speaker 1: of really angry extinct creature. Possibly that is the rare 998 01:06:22,200 --> 01:06:29,240 Speaker 1: brown tufted, red chested to malan. Yeah. Yeah, and that 999 01:06:29,400 --> 01:06:34,000 Speaker 1: is the call that it makes during mating. Uh huh 1000 01:06:35,520 --> 01:06:39,080 Speaker 1: oh god, you just really disturbed me with the implication 1001 01:06:39,200 --> 01:06:44,520 Speaker 1: that every time he makes that sound he's horned, because 1002 01:06:44,520 --> 01:06:48,160 Speaker 1: he makes that sound a lot he does. Yeah. Well, 1003 01:06:48,160 --> 01:06:51,160 Speaker 1: thank you guys so much for joining me today and 1004 01:06:51,200 --> 01:06:55,240 Speaker 1: playing my animal sound guessing game and checking out some 1005 01:06:55,520 --> 01:07:02,760 Speaker 1: real life animal horror movies. Where can the people find you? Uh? 1006 01:07:02,800 --> 01:07:06,400 Speaker 1: We were? We have a Patreon for our podcast network 1007 01:07:06,440 --> 01:07:09,800 Speaker 1: called Gamefully Unemployed. You can check us out at patreon 1008 01:07:09,840 --> 01:07:14,160 Speaker 1: dot com slash gamefully Unemployed. And also thank you for 1009 01:07:14,200 --> 01:07:19,120 Speaker 1: having having us on. Yeah. Always a delight. Indeed, this 1010 01:07:19,160 --> 01:07:21,840 Speaker 1: was fun. I've been meaning to have Tom on for 1011 01:07:21,840 --> 01:07:25,240 Speaker 1: a while, but he can only come on at midnight 1012 01:07:25,880 --> 01:07:31,080 Speaker 1: on the present Moon. Yeah. No, it's it's a whole thing. Yeah, 1013 01:07:31,320 --> 01:07:33,160 Speaker 1: every time I do a podcast with him, I have 1014 01:07:33,280 --> 01:07:37,120 Speaker 1: to I have to crack open like a skull has 1015 01:07:37,240 --> 01:07:39,120 Speaker 1: to have. He has to have a blood meal to 1016 01:07:39,560 --> 01:07:42,520 Speaker 1: have the energy to get through an episode. You gotta 1017 01:07:42,560 --> 01:07:46,960 Speaker 1: you have to play a haunting European folk song backwards. 1018 01:07:48,800 --> 01:07:53,840 Speaker 1: You can find the parent cast on the internet at 1019 01:07:53,840 --> 01:07:57,560 Speaker 1: Creature on Instagram, at Creature feet Pod. On Twitter, that's 1020 01:07:57,600 --> 01:08:01,920 Speaker 1: E E T. You can find me Katie Golden K 1021 01:08:02,280 --> 01:08:04,160 Speaker 1: T I E G O L D I N on 1022 01:08:04,200 --> 01:08:08,120 Speaker 1: Twitter just my Katie thoughts. You can email me with 1023 01:08:08,240 --> 01:08:13,080 Speaker 1: cute pictures of your pets at the email actions Creature 1024 01:08:13,120 --> 01:08:17,400 Speaker 1: feature pot at gmail dot com. Send me your pets 1025 01:08:17,439 --> 01:08:20,200 Speaker 1: to your questions, or if you find a cool b 1026 01:08:21,439 --> 01:08:24,600 Speaker 1: a cool twig I don't know, send suck it to 1027 01:08:25,000 --> 01:08:28,360 Speaker 1: send send Katie bees. Yeah, do you have a mailing 1028 01:08:28,400 --> 01:08:34,679 Speaker 1: address for the bees po box? B B And thank 1029 01:08:34,720 --> 01:08:37,559 Speaker 1: you so much for listening. I really do appreciate it. 1030 01:08:37,600 --> 01:08:41,679 Speaker 1: If you're enjoying the show, please leave a rating or review. 1031 01:08:42,080 --> 01:08:45,360 Speaker 1: It really helps the podcast and I do read all 1032 01:08:45,439 --> 01:08:48,920 Speaker 1: of the reviews and it makes me feel good inside. 1033 01:08:49,400 --> 01:08:52,000 Speaker 1: Thanks to the Space Classics for their super awesome song 1034 01:08:52,200 --> 01:08:55,320 Speaker 1: ex Aluminate Creature Features of production of I Heart Radio. 1035 01:08:55,439 --> 01:08:58,639 Speaker 1: For more podcasts like the one you just heard, visit 1036 01:08:58,640 --> 01:09:01,400 Speaker 1: the I Heart Radio app app podcast or Hey Guess what. 1037 01:09:01,760 --> 01:09:17,600 Speaker 1: Wherever you with your favorite shows. See you next Wednesday,