1 00:00:01,440 --> 00:00:04,920 Speaker 1: Welcome to Stuff You Should Know, a production of iHeartRadio. 2 00:00:11,119 --> 00:00:13,399 Speaker 2: Hey, and welcome to the podcast. I'm Josh, and there's 3 00:00:13,480 --> 00:00:15,720 Speaker 2: Chuck and Jerry's here for the moment and this is 4 00:00:15,800 --> 00:00:19,080 Speaker 2: Stuff you should know the podcast. 5 00:00:19,600 --> 00:00:25,360 Speaker 1: That's right. This is one of my ideas. I believe 6 00:00:25,360 --> 00:00:27,800 Speaker 1: Olivia helped us with this because I am on a 7 00:00:27,840 --> 00:00:31,120 Speaker 1: mission to get my daughter to watch the movie Anaconda. 8 00:00:31,760 --> 00:00:32,400 Speaker 2: The first one? 9 00:00:33,200 --> 00:00:33,920 Speaker 1: Was there another one? 10 00:00:34,240 --> 00:00:35,480 Speaker 2: I think they remade it? Yeah? 11 00:00:36,080 --> 00:00:38,800 Speaker 1: Oh, I mean if we're talking about the one with 12 00:00:39,200 --> 00:00:43,000 Speaker 1: John Boyd and Ice Cube and Owen Wilson, that's the 13 00:00:43,000 --> 00:00:43,800 Speaker 1: one I'm talking about. 14 00:00:43,880 --> 00:00:47,080 Speaker 2: Don't forget j Lo. She's the star that's it. 15 00:00:47,120 --> 00:00:50,200 Speaker 1: Well, arguably the stars, that big slithery snake. 16 00:00:50,800 --> 00:00:53,560 Speaker 2: I guess. So. I watched it for the very first 17 00:00:53,600 --> 00:00:54,400 Speaker 2: time last night. 18 00:00:54,760 --> 00:00:55,640 Speaker 1: Oh did you really? 19 00:00:55,960 --> 00:00:56,760 Speaker 2: It's not good? 20 00:00:57,240 --> 00:00:57,320 Speaker 1: No? 21 00:00:57,440 --> 00:01:00,440 Speaker 2: I know. I mean it's not one of those it's 22 00:01:00,480 --> 00:01:02,960 Speaker 2: like so bad it's good. It's just kind of bad. 23 00:01:03,360 --> 00:01:05,039 Speaker 1: Oh, I see, I think it's kind of a fun 24 00:01:05,080 --> 00:01:10,600 Speaker 1: bad movie. Are friends of the podcast the flop House. 25 00:01:11,280 --> 00:01:13,959 Speaker 1: The Bad Movie podcast has been around for as long 26 00:01:14,000 --> 00:01:16,720 Speaker 1: as we have. Those guys are great. Their rating system 27 00:01:16,880 --> 00:01:21,000 Speaker 1: is good, bad movie, bad, bad movie, or movie I 28 00:01:21,080 --> 00:01:23,399 Speaker 1: kind of liked, so it's kind of fun. 29 00:01:23,480 --> 00:01:25,000 Speaker 2: Did they raid Anna Conda? Do you know? 30 00:01:25,520 --> 00:01:28,440 Speaker 1: I don't know that they've ever done this one. I'll 31 00:01:28,440 --> 00:01:30,120 Speaker 1: have to ask Dan about that. 32 00:01:30,640 --> 00:01:33,320 Speaker 2: Well, I'm giving it a bad, bad movie, Okay. 33 00:01:33,440 --> 00:01:35,160 Speaker 1: I remember it as being good bad and for a 34 00:01:35,440 --> 00:01:38,520 Speaker 1: you know, almost ten year old like she would like it. 35 00:01:39,120 --> 00:01:42,360 Speaker 2: Yeah, totally. There's a lot of Jaws homage to it. 36 00:01:42,440 --> 00:01:45,039 Speaker 2: So I'm sure that's one reason you like it subconsciously. 37 00:01:45,640 --> 00:01:48,000 Speaker 1: Yeah. I had a just before we get going again 38 00:01:48,000 --> 00:01:52,320 Speaker 1: while we're on movies, a very humbling dad moment, which 39 00:01:52,360 --> 00:01:54,919 Speaker 1: is a reminder that you can't necessarily make your favorite 40 00:01:54,920 --> 00:01:59,600 Speaker 1: stuff your kid's favorite stuff. We've tried to watch Army 41 00:01:59,640 --> 00:02:03,560 Speaker 1: of Dark aka Evil Dead three and she made it 42 00:02:03,600 --> 00:02:05,520 Speaker 1: through about forty minutes and I thought she was liking it, 43 00:02:05,560 --> 00:02:07,680 Speaker 1: and then she went, yeah, can we turn this off? 44 00:02:07,720 --> 00:02:10,520 Speaker 1: And I was so heartbroken. I was like, oh, oh really. 45 00:02:11,160 --> 00:02:12,400 Speaker 1: I was like, you don't think it's kind of fun 46 00:02:12,440 --> 00:02:14,000 Speaker 1: and funny and weird and she was like, yeah, but 47 00:02:14,040 --> 00:02:14,799 Speaker 1: it's just not my thing. 48 00:02:14,800 --> 00:02:19,600 Speaker 2: And I was like, okay, man, did you tried her 49 00:02:19,639 --> 00:02:20,200 Speaker 2: out of the will? 50 00:02:21,120 --> 00:02:24,160 Speaker 1: Yeah? That's it. Sorry. Bruce Campbell gets it all Now. 51 00:02:25,160 --> 00:02:26,840 Speaker 2: Do you know what she didn't like about it? 52 00:02:27,560 --> 00:02:31,080 Speaker 1: Uh? No, I mean it wasn't too scary because she 53 00:02:31,160 --> 00:02:35,399 Speaker 1: doesn't mind scary stuff. It was funny, she was lad. 54 00:02:35,440 --> 00:02:36,760 Speaker 1: I don't know. I thought she was into it. It 55 00:02:36,760 --> 00:02:39,200 Speaker 1: may have just been the mood. Maybe a try again later, 56 00:02:39,240 --> 00:02:40,400 Speaker 1: because that's happened before. 57 00:02:41,040 --> 00:02:43,560 Speaker 2: Have you ever seen Bubba Ho Tep with Bruce Campbell? 58 00:02:43,919 --> 00:02:46,400 Speaker 1: You bet, your sweet Bibi I have. It's a great movie. 59 00:02:46,680 --> 00:02:48,320 Speaker 2: I wonder if she would like that, Like maybe she 60 00:02:48,360 --> 00:02:50,280 Speaker 2: didn't like all the skeletons that he had to fight 61 00:02:50,280 --> 00:02:52,480 Speaker 2: and stuff like that, but she would like Bruce Campbell 62 00:02:52,560 --> 00:02:53,200 Speaker 2: doing his thing. 63 00:02:53,919 --> 00:02:56,239 Speaker 1: Yeah, I mean, who doesn't. I think Bruce Campbell is 64 00:02:57,120 --> 00:02:58,160 Speaker 1: appeals to all ages. 65 00:02:58,560 --> 00:03:01,560 Speaker 2: He really does. And that's our Bruce Campbell's story. 66 00:03:02,080 --> 00:03:04,120 Speaker 1: All right, Should we do a good old fashioned stuff 67 00:03:04,120 --> 00:03:05,440 Speaker 1: you should know animal episode? 68 00:03:05,600 --> 00:03:08,520 Speaker 2: Yeah, this is definitely that. We're talking Anaconda's for those 69 00:03:08,560 --> 00:03:10,600 Speaker 2: of you who didn't bother to look at the title, 70 00:03:11,639 --> 00:03:17,480 Speaker 2: and Anaconda's are giant, massive snakes, the world's heaviest snake, 71 00:03:18,040 --> 00:03:21,680 Speaker 2: like by far, not the world's longest, but they're not 72 00:03:21,840 --> 00:03:25,280 Speaker 2: too much shorter than the world's longest, so they're just 73 00:03:25,320 --> 00:03:29,080 Speaker 2: a massive giant snake. They're BoA's, which means they like 74 00:03:29,120 --> 00:03:32,120 Speaker 2: to constrict you. They're big enough that if you're a human, 75 00:03:32,520 --> 00:03:35,720 Speaker 2: they could constrict around you and kill you and eat 76 00:03:35,760 --> 00:03:39,480 Speaker 2: you if they wanted to. Luckily, they don't really have 77 00:03:39,680 --> 00:03:43,120 Speaker 2: much to do with humans. Apparently our buns are not 78 00:03:43,200 --> 00:03:46,280 Speaker 2: substantial enough for their liking, and so they don't want 79 00:03:46,360 --> 00:03:49,160 Speaker 2: none of us. 80 00:03:50,840 --> 00:03:53,440 Speaker 1: And just remember, everyone, you can decide bins or sit ups, 81 00:03:54,160 --> 00:03:55,280 Speaker 1: but please don't lose that butt. 82 00:03:55,560 --> 00:03:58,280 Speaker 2: Nope, not if you want a anaconda to eat you. 83 00:03:58,800 --> 00:04:01,640 Speaker 1: I just reference that specific part of that song this 84 00:04:01,680 --> 00:04:04,400 Speaker 1: past weekend because that is my favorite part of that song, 85 00:04:04,440 --> 00:04:05,800 Speaker 1: which is one of my favorite. 86 00:04:05,440 --> 00:04:07,520 Speaker 2: Songs, the side bends and sit ups part. 87 00:04:07,840 --> 00:04:12,320 Speaker 1: No, just that whole sort of section starting with workout 88 00:04:12,320 --> 00:04:17,719 Speaker 1: tapes by Fonda. It's just I don't know it's again, sir, 89 00:04:17,760 --> 00:04:20,240 Speaker 1: mixedco Loot. How we've talked about him a lot lately. 90 00:04:20,279 --> 00:04:22,600 Speaker 2: I feel like, yeah, he's come up a couple of times, 91 00:04:22,920 --> 00:04:24,400 Speaker 2: almost as much as Billy Joel. 92 00:04:25,080 --> 00:04:26,719 Speaker 1: They should do a mashup. 93 00:04:28,240 --> 00:04:32,359 Speaker 2: So yes, So anacondas are giant and scary, but strangely 94 00:04:32,400 --> 00:04:35,080 Speaker 2: they're not really anything to be scared of. According to 95 00:04:35,160 --> 00:04:37,200 Speaker 2: science and people who don't live around them. 96 00:04:37,360 --> 00:04:41,680 Speaker 1: Yeah, they are a member of the unctus genus, which 97 00:04:41,720 --> 00:04:44,080 Speaker 1: means good swimmer in Greek. And as we'll see, they 98 00:04:44,080 --> 00:04:47,839 Speaker 1: are great swimmers and they are part of the I 99 00:04:48,000 --> 00:04:48,840 Speaker 1: even look this up. 100 00:04:50,240 --> 00:04:52,200 Speaker 2: I think it's like it's spelled. 101 00:04:52,040 --> 00:04:56,039 Speaker 1: All right, say it then, bowie day Okay, I saw 102 00:04:56,120 --> 00:04:58,400 Speaker 1: e though I think we've been pronouncing d e a 103 00:04:58,560 --> 00:04:58,920 Speaker 1: e wrong. 104 00:04:58,960 --> 00:05:03,440 Speaker 2: I think it's a d Bowiiti, m, You're back on 105 00:05:03,480 --> 00:05:06,000 Speaker 2: that bowbo thing again, and I'm pretty sure it's bowide 106 00:05:06,320 --> 00:05:09,720 Speaker 2: Maybe how about boi de, But. 107 00:05:09,640 --> 00:05:12,120 Speaker 1: That is known as a true boa. They are non venomous, 108 00:05:12,120 --> 00:05:15,680 Speaker 1: so they're not gonna They're not gonna kill you with venom. 109 00:05:16,120 --> 00:05:19,159 Speaker 1: They're just gonna give you a big, warm hug. But 110 00:05:19,160 --> 00:05:21,640 Speaker 1: they're not after you again. Like you said, they snakes 111 00:05:21,640 --> 00:05:24,200 Speaker 1: generally don't want to be around people at all, so 112 00:05:24,240 --> 00:05:26,080 Speaker 1: it's certainly not like the movie where they are on 113 00:05:26,160 --> 00:05:26,640 Speaker 1: the attack. 114 00:05:27,240 --> 00:05:29,960 Speaker 2: No, and I mean they say so many lies about 115 00:05:29,960 --> 00:05:31,359 Speaker 2: Ana Conda's in that movie. 116 00:05:31,600 --> 00:05:33,560 Speaker 1: It's like, yeah, bad, real bad. 117 00:05:33,720 --> 00:05:36,760 Speaker 2: Yeah. Yeah. Luckily most of the people who saw that 118 00:05:36,839 --> 00:05:39,440 Speaker 2: movie probably don't live around ana Conas and don't have 119 00:05:39,520 --> 00:05:41,800 Speaker 2: a chance to kill them. But it was like that 120 00:05:41,920 --> 00:05:45,200 Speaker 2: level of lies and smears against the anta condas in 121 00:05:45,200 --> 00:05:45,679 Speaker 2: that movie. 122 00:05:46,120 --> 00:05:48,479 Speaker 1: Yeah. One thing that the movie did get right and 123 00:05:48,480 --> 00:05:50,680 Speaker 1: that I mentioned is that they are great, great swimmers. 124 00:05:51,040 --> 00:05:53,479 Speaker 1: They have those eyes and the nose on top of 125 00:05:53,520 --> 00:05:56,400 Speaker 1: the head, so they can barely keep their little top 126 00:05:56,440 --> 00:05:58,920 Speaker 1: of their head out of the water and still be 127 00:05:58,920 --> 00:06:02,480 Speaker 1: below water, which is a terrifying thought. Although mostly when 128 00:06:02,480 --> 00:06:05,640 Speaker 1: I've seen them, they're kind of swimming on top of 129 00:06:05,680 --> 00:06:07,039 Speaker 1: the water like you see a lot of snakes do. 130 00:06:07,080 --> 00:06:09,120 Speaker 1: But they can hold their breath for like ten minutes, right, 131 00:06:09,160 --> 00:06:10,240 Speaker 1: and just like fully dive. 132 00:06:10,520 --> 00:06:15,240 Speaker 2: Yeah, yeah, ten minutes. Like the more you learn about anaconda, 133 00:06:15,279 --> 00:06:18,280 Speaker 2: is this, the more unsettling they are. Like it's good 134 00:06:18,320 --> 00:06:20,240 Speaker 2: that they don't really want to have much to do 135 00:06:20,320 --> 00:06:23,279 Speaker 2: with humans, but if they wanted to, like, we would 136 00:06:23,320 --> 00:06:24,440 Speaker 2: be in trouble for sure. 137 00:06:24,920 --> 00:06:28,360 Speaker 1: Yeah. Absolutely, Because they love the water so much. They 138 00:06:28,440 --> 00:06:32,720 Speaker 1: obviously live in the swamps of the world, slow flowing rivers. 139 00:06:33,440 --> 00:06:37,839 Speaker 1: If there are places that are flooded annually or seasonally, 140 00:06:38,960 --> 00:06:41,120 Speaker 1: they will be there during those times, and when it's 141 00:06:41,160 --> 00:06:44,119 Speaker 1: not they will probably travel to wetter climbs or maybe 142 00:06:44,120 --> 00:06:46,400 Speaker 1: just burrow down in the mud. But they'll also go 143 00:06:46,440 --> 00:06:49,160 Speaker 1: into the jungle and forest here and there. Just they 144 00:06:49,200 --> 00:06:50,400 Speaker 1: really like the water though. 145 00:06:50,400 --> 00:06:53,040 Speaker 2: Yeah, all fresh water. Though they're not salt tolerant, which 146 00:06:53,080 --> 00:06:55,560 Speaker 2: was not immediately apparent to me. I had to look 147 00:06:55,600 --> 00:06:55,920 Speaker 2: it up. 148 00:06:56,400 --> 00:06:58,520 Speaker 1: Oh you thought there could be like an ocean anaconda. 149 00:06:58,600 --> 00:07:01,280 Speaker 2: Well, I'll explain why later on. How about that. I'm 150 00:07:01,279 --> 00:07:02,479 Speaker 2: going to save that one for later. 151 00:07:02,640 --> 00:07:04,760 Speaker 1: My thinking, are you going to say the word bracash 152 00:07:04,800 --> 00:07:05,320 Speaker 1: at any point? 153 00:07:05,920 --> 00:07:06,320 Speaker 2: I may? 154 00:07:06,720 --> 00:07:07,040 Speaker 1: Okay. 155 00:07:07,640 --> 00:07:11,200 Speaker 2: So, just because they're snakes, they have the Jacobson's organ 156 00:07:11,360 --> 00:07:13,520 Speaker 2: in their mouth, the roof of their mouth. It's prominently 157 00:07:13,560 --> 00:07:16,440 Speaker 2: featured in the movie Anaconda because I think like bears 158 00:07:16,480 --> 00:07:19,840 Speaker 2: its fangs at the camera like every thirty forty seconds. Yeah, 159 00:07:19,840 --> 00:07:22,240 Speaker 2: and there's it's Jacobson's organ, the big hole in the 160 00:07:22,280 --> 00:07:26,080 Speaker 2: back of the roof of its mouth. And because whenever 161 00:07:26,120 --> 00:07:29,040 Speaker 2: you see a snake flicker its tongue really quickly, what 162 00:07:29,120 --> 00:07:31,680 Speaker 2: it's doing is it's sampling the air and transferring it 163 00:07:31,720 --> 00:07:35,320 Speaker 2: to the Jacobson's organ, which analyzes it and says, there's 164 00:07:35,400 --> 00:07:38,320 Speaker 2: a cap of bara right over there, let's go eat it. 165 00:07:39,040 --> 00:07:43,600 Speaker 1: Yes, they can. Also the heat signatures can be recognized, 166 00:07:43,640 --> 00:07:46,720 Speaker 1: so part of finding that animal is their warm blood. 167 00:07:46,800 --> 00:07:49,000 Speaker 1: But they also use it to find a nice cool 168 00:07:49,000 --> 00:07:51,000 Speaker 1: place to go rest after they've had a big meal, 169 00:07:51,240 --> 00:07:52,000 Speaker 1: which we'll get to. 170 00:07:52,480 --> 00:07:54,280 Speaker 2: That's the yeah, and that's a different one. That's the 171 00:07:54,320 --> 00:07:56,480 Speaker 2: pit organ. This is just nuts. 172 00:07:56,680 --> 00:07:57,640 Speaker 1: Oh yeah, yeah, so. 173 00:07:58,080 --> 00:08:02,840 Speaker 2: That's the one that so one the Jacobsen's senses smells 174 00:08:03,200 --> 00:08:06,280 Speaker 2: in the air. Pit organs, like you said, sense heat, 175 00:08:06,840 --> 00:08:11,640 Speaker 2: and the pit organs transfer these this these electrical impulses 176 00:08:11,640 --> 00:08:17,000 Speaker 2: based on thermal signatures to their optic center and it 177 00:08:17,000 --> 00:08:22,120 Speaker 2: gets integrated with their vision so they can see like 178 00:08:22,160 --> 00:08:26,520 Speaker 2: a capa bara again, plain as day, in complete darkness, 179 00:08:26,720 --> 00:08:27,560 Speaker 2: just like predator. 180 00:08:28,560 --> 00:08:32,680 Speaker 1: Yeah, it's I mean we think we've never we've never 181 00:08:32,720 --> 00:08:34,880 Speaker 1: asked them to draw a picture of what that looks like. 182 00:08:35,000 --> 00:08:38,440 Speaker 1: It's true, but this is the best we can figure. 183 00:08:38,760 --> 00:08:40,440 Speaker 2: But I mean that kind of goes to show just 184 00:08:40,440 --> 00:08:43,480 Speaker 2: how amazing science can be, that that we basically walk 185 00:08:43,520 --> 00:08:47,360 Speaker 2: around thinking like we know what anaconda's vision looks like, 186 00:08:47,400 --> 00:08:49,720 Speaker 2: even though yeah, no Ana Conda's ever told us. 187 00:08:49,960 --> 00:08:52,360 Speaker 1: Yeah, I mean that's the same with whether an animal 188 00:08:52,480 --> 00:08:54,880 Speaker 1: is colorblind. I'm always like, well, how do you know? Sure, 189 00:08:55,640 --> 00:08:59,640 Speaker 1: So if you want to talk couple. Speaking of colors, 190 00:09:00,320 --> 00:09:02,120 Speaker 1: we'll get to the nitty gritty of sort of the 191 00:09:02,520 --> 00:09:05,760 Speaker 1: different kinds of anacondas, but for now we'll just say 192 00:09:05,800 --> 00:09:07,920 Speaker 1: the green ones are the ones that are really really big. 193 00:09:08,600 --> 00:09:11,160 Speaker 1: They're bigger than the yellow ones. They're the heaviest snake 194 00:09:11,200 --> 00:09:14,440 Speaker 1: in the world. Like you said, basically, I think you 195 00:09:14,480 --> 00:09:17,040 Speaker 1: mentioned not the longest that goes to the reticulated python, 196 00:09:17,640 --> 00:09:21,880 Speaker 1: but the female anaconda green anaconda is larger than the male, 197 00:09:22,520 --> 00:09:28,840 Speaker 1: anywhere from fifteen to thirty feet even sometimes that's at 198 00:09:28,920 --> 00:09:31,200 Speaker 1: the very high end. I think they're generally, you know, 199 00:09:31,240 --> 00:09:33,160 Speaker 1: fifteen to twenty feet and weigh about one hundred and 200 00:09:33,200 --> 00:09:35,679 Speaker 1: fifty to two hundred pounds, whereas the males are only 201 00:09:35,720 --> 00:09:37,920 Speaker 1: about nine to ten feet and one hundred to one 202 00:09:38,000 --> 00:09:40,400 Speaker 1: hundred and twenty pounds. Still a very large snake. 203 00:09:40,480 --> 00:09:43,160 Speaker 2: That's a giant snake still. And yeah, that thirty foot 204 00:09:43,200 --> 00:09:48,120 Speaker 2: one that's supposedly the record, although it's not obvious where 205 00:09:48,160 --> 00:09:51,800 Speaker 2: that came from, but supposedly the record anaconda is thirty 206 00:09:51,800 --> 00:09:54,880 Speaker 2: feet long and five hundred and fifty pounds. Right. Again, 207 00:09:55,000 --> 00:09:58,240 Speaker 2: that's not we don't know who said that originally, but 208 00:09:58,360 --> 00:10:01,000 Speaker 2: there was we know for a fact, a snake and 209 00:10:01,040 --> 00:10:04,240 Speaker 2: a green anaconda female that was about four hundred and 210 00:10:04,280 --> 00:10:08,600 Speaker 2: forty pounds and twenty feet long. So they do get giant. 211 00:10:08,600 --> 00:10:12,040 Speaker 2: I mean they are so big and you look up, 212 00:10:12,160 --> 00:10:15,000 Speaker 2: like go look up pictures and videos of green ana 213 00:10:15,040 --> 00:10:17,240 Speaker 2: condas and you'll be like, wow, it's a big snake. 214 00:10:17,440 --> 00:10:19,120 Speaker 2: And then see if you can find one next to 215 00:10:19,200 --> 00:10:22,120 Speaker 2: like a human or something for scale, and you will 216 00:10:22,160 --> 00:10:24,520 Speaker 2: just be blown away by how giant these things are. 217 00:10:24,880 --> 00:10:28,920 Speaker 1: Yeah, like a banana. Also be wary because there are 218 00:10:28,960 --> 00:10:34,480 Speaker 1: a lot of fake pictures and videos of giant anacondas. Yes, 219 00:10:34,800 --> 00:10:37,320 Speaker 1: and it's just harder to tell these days. I saw 220 00:10:37,320 --> 00:10:40,480 Speaker 1: some video from like helicopters above a river where it's like, 221 00:10:40,520 --> 00:10:42,840 Speaker 1: there's no way this thing is that big because they 222 00:10:42,840 --> 00:10:45,120 Speaker 1: were sixty feet long and as big around as a 223 00:10:45,160 --> 00:10:47,920 Speaker 1: basketball and they look really good. 224 00:10:48,360 --> 00:10:52,400 Speaker 2: Yeah, but yeah, and they're hard to tell. Yeah. Like 225 00:10:52,440 --> 00:10:55,000 Speaker 2: you said, I saw one and it was curling around 226 00:10:55,040 --> 00:10:58,000 Speaker 2: this lion and I was like, wait a minute, these 227 00:10:58,040 --> 00:11:00,320 Speaker 2: things are only in South America and lions are not 228 00:11:00,360 --> 00:11:03,080 Speaker 2: in South America. That was the only way I like, 229 00:11:03,120 --> 00:11:04,680 Speaker 2: I had to stop and think about it, because it 230 00:11:04,720 --> 00:11:05,720 Speaker 2: looks so realistic. 231 00:11:06,240 --> 00:11:08,199 Speaker 1: Yeah, yeah, it's like, can you just. 232 00:11:08,160 --> 00:11:11,000 Speaker 2: Be amazed by the national world as it is? Like, 233 00:11:12,040 --> 00:11:14,440 Speaker 2: does everything have to be pushed to the extreme for 234 00:11:14,520 --> 00:11:15,560 Speaker 2: you to get your jolly's? 235 00:11:15,880 --> 00:11:19,120 Speaker 1: I'm with you, buddy, I had the same thought, So 236 00:11:19,160 --> 00:11:21,880 Speaker 1: I mentioned the yellows are smaller. They're nine to ten 237 00:11:21,920 --> 00:11:24,360 Speaker 1: pounds for the females, which are larger than the males 238 00:11:24,400 --> 00:11:28,360 Speaker 1: because they're only about six feet long, which is again 239 00:11:28,520 --> 00:11:33,120 Speaker 1: still a very big snake, and they can top one 240 00:11:33,160 --> 00:11:36,480 Speaker 1: hundred pounds. A yellow one can. Like all snakes, they 241 00:11:36,520 --> 00:11:39,880 Speaker 1: have intermediate growth, which means they're always growing. It slows 242 00:11:39,920 --> 00:11:43,920 Speaker 1: down in adulthood, but the snakes keep growing forever. 243 00:11:44,600 --> 00:11:46,920 Speaker 2: Yeah. And there was one other dimension that we left out, 244 00:11:46,960 --> 00:11:50,520 Speaker 2: and that is those green anacondas can get to about 245 00:11:50,640 --> 00:11:54,319 Speaker 2: twelve inches or a third of a meter in diameter. Yeah, 246 00:11:54,600 --> 00:11:57,000 Speaker 2: that's an old thicky, is what they call that. 247 00:11:59,559 --> 00:12:01,600 Speaker 1: And how long do they live, Josh for. 248 00:12:01,559 --> 00:12:03,400 Speaker 2: A while, actually, in the in the wild, up to 249 00:12:03,440 --> 00:12:07,160 Speaker 2: twenty years on average, and then because the wild is 250 00:12:07,160 --> 00:12:10,800 Speaker 2: so much more dangerous than a cushy zoo, in captivity 251 00:12:10,800 --> 00:12:13,320 Speaker 2: they can live up to thirty years. They're just not 252 00:12:13,440 --> 00:12:15,720 Speaker 2: as happy as the ones in the wild. The ones 253 00:12:15,720 --> 00:12:18,040 Speaker 2: in a wild are like, live fast, die young, leave 254 00:12:18,080 --> 00:12:21,240 Speaker 2: a beautiful corpse. The ones in captivity are like, I'm 255 00:12:21,280 --> 00:12:23,520 Speaker 2: gonna get soft, but I'll live to an old age. 256 00:12:23,800 --> 00:12:26,280 Speaker 1: That's right. Just throw me a cappy, buyra in here 257 00:12:26,320 --> 00:12:27,360 Speaker 1: so I can have some lunch. 258 00:12:27,760 --> 00:12:30,560 Speaker 2: Right, They're like camping byron? Can can I get a 259 00:12:30,640 --> 00:12:31,240 Speaker 2: tep here? 260 00:12:32,480 --> 00:12:35,280 Speaker 1: They are apex predators, so nothing is gonna come after 261 00:12:35,320 --> 00:12:39,760 Speaker 1: the anacondah. They're just it's not gonna happen. They feed 262 00:12:39,800 --> 00:12:44,120 Speaker 1: on fish, they feed on reptiles. We mentioned mammals. They'll 263 00:12:44,160 --> 00:12:48,280 Speaker 1: eat a deer. They'll eat a cayman. Although I did 264 00:12:48,320 --> 00:12:50,840 Speaker 1: see a cayman stand off a Nana conda because I 265 00:12:50,840 --> 00:12:52,920 Speaker 1: think it was one of the smaller Randa condas, so 266 00:12:52,960 --> 00:12:53,680 Speaker 1: I got out of there. 267 00:12:53,920 --> 00:12:56,800 Speaker 2: That's the caymans are like the mini crocodiles. 268 00:12:56,280 --> 00:12:59,120 Speaker 1: Right, yeah, but they're they're still, you know, got some 269 00:12:59,160 --> 00:12:59,800 Speaker 1: size to them. 270 00:13:00,080 --> 00:13:02,400 Speaker 2: Sure, sure, but I just want to make sure it's 271 00:13:02,440 --> 00:13:04,240 Speaker 2: thinking of the right animal totally. 272 00:13:04,920 --> 00:13:07,280 Speaker 1: And they kill things like you would think they're constrictors. 273 00:13:07,280 --> 00:13:09,480 Speaker 1: So they grab it, they grab it around the neck, 274 00:13:09,679 --> 00:13:13,800 Speaker 1: they coil that body and they squeeze it. And I 275 00:13:14,000 --> 00:13:16,560 Speaker 1: always heard that like, oh, they'll crush your internal organs 276 00:13:16,559 --> 00:13:19,360 Speaker 1: and your break your rib cage. They're really not doing that, 277 00:13:19,400 --> 00:13:20,840 Speaker 1: And this is kind of a cool little fact. What 278 00:13:20,840 --> 00:13:25,120 Speaker 1: they're doing is they're stopping the blood flow and you 279 00:13:25,240 --> 00:13:28,720 Speaker 1: end up having heart failure because or a stroke because 280 00:13:28,720 --> 00:13:30,640 Speaker 1: you have no blood reaching your brain or your heart, 281 00:13:31,240 --> 00:13:35,720 Speaker 1: and you lose consciousness. They can bite if you're smaller, 282 00:13:35,760 --> 00:13:37,680 Speaker 1: but they're generally going to constrict you to death. 283 00:13:37,880 --> 00:13:40,000 Speaker 2: Yeah. And the reason that they don't break your bones 284 00:13:40,080 --> 00:13:44,199 Speaker 2: is because they don't want bones sticking out of your 285 00:13:44,240 --> 00:13:48,000 Speaker 2: body on the way down their gullet as they're digesting you, 286 00:13:48,040 --> 00:13:50,200 Speaker 2: So they use a little bit of finesse I think. 287 00:13:50,440 --> 00:13:52,640 Speaker 1: Yeah, because they swallow you whole, you know, that's the idea. 288 00:13:52,679 --> 00:13:55,959 Speaker 1: That's why when you see constrictors with those big bulges, 289 00:13:56,360 --> 00:13:58,040 Speaker 1: that is like a pig or something. 290 00:13:58,160 --> 00:13:59,360 Speaker 2: It's probably John Boyd. 291 00:14:01,000 --> 00:14:06,000 Speaker 1: I wish it was, but we should say that they don't, 292 00:14:06,080 --> 00:14:08,480 Speaker 1: you know, because they're eating such big things, they don't 293 00:14:08,480 --> 00:14:10,720 Speaker 1: have to eat very much. They can go months between 294 00:14:10,760 --> 00:14:13,040 Speaker 1: eating meals and it can take weeks and weeks for 295 00:14:13,080 --> 00:14:15,400 Speaker 1: them to digest. So they'll just sneak away to a 296 00:14:15,440 --> 00:14:17,959 Speaker 1: nice cool place and digest on the download for a 297 00:14:18,000 --> 00:14:21,160 Speaker 1: little while, and there was one reporter but captive anacona 298 00:14:21,200 --> 00:14:23,600 Speaker 1: that live for two years without eating. 299 00:14:23,560 --> 00:14:27,280 Speaker 2: Right, and they normally keep to themselves. They have their 300 00:14:27,280 --> 00:14:29,440 Speaker 2: own hunting territories, but most of the time they're like, 301 00:14:29,520 --> 00:14:31,720 Speaker 2: I just leave me alone. I'm just over here doing 302 00:14:31,760 --> 00:14:35,560 Speaker 2: my thing. Except they come together from April to May 303 00:14:35,720 --> 00:14:41,040 Speaker 2: during breeding season, and they're polyandrous, which means that a 304 00:14:41,120 --> 00:14:46,400 Speaker 2: single female will mate with multiple males, as opposed to polygamous, 305 00:14:46,760 --> 00:14:49,880 Speaker 2: which means a single male will mate with multiple females, 306 00:14:50,360 --> 00:14:52,560 Speaker 2: and they will mate in what's called the breeding ball. 307 00:14:52,720 --> 00:14:55,360 Speaker 2: And if you want to be unsettled to your core, 308 00:14:56,000 --> 00:14:58,880 Speaker 2: look up green and Aconda breeding ball. 309 00:14:59,280 --> 00:15:04,040 Speaker 1: Yeah, breed is the stuff of nightmares for sure. That's 310 00:15:04,120 --> 00:15:07,160 Speaker 1: like as many as thirteen snakes sometimes just having a 311 00:15:07,160 --> 00:15:11,040 Speaker 1: big old snake party with each other. That's not how 312 00:15:11,080 --> 00:15:12,880 Speaker 1: it always goes down, though, a lot of times the 313 00:15:12,920 --> 00:15:16,720 Speaker 1: females will spend an entire mating season with just one dude. 314 00:15:17,600 --> 00:15:21,120 Speaker 1: But that dude may be lunch after they're impregnated, because 315 00:15:21,160 --> 00:15:23,640 Speaker 1: the female may just eat that male because they've just 316 00:15:23,640 --> 00:15:26,480 Speaker 1: gotten pregnant and they need to bed down for seven 317 00:15:26,520 --> 00:15:29,720 Speaker 1: months without eating again. So ts for you, pal. 318 00:15:29,920 --> 00:15:34,160 Speaker 2: Yeah, that's something in the animal kingdom called sexual cannibalism. Yeah, 319 00:15:34,400 --> 00:15:38,040 Speaker 2: sexual cannibals is maybe the greatest band name we've run 320 00:15:38,080 --> 00:15:38,800 Speaker 2: across so far. 321 00:15:40,040 --> 00:15:41,840 Speaker 1: Yeah, they open for the fine young cannibals. 322 00:15:42,000 --> 00:15:45,680 Speaker 2: Yeah, exactly. And I just one other thing about that. 323 00:15:45,720 --> 00:15:50,120 Speaker 2: I read some species of males will sacrifice themselves to 324 00:15:50,160 --> 00:15:53,440 Speaker 2: be cannibalized after mating. And there was a study of 325 00:15:54,240 --> 00:15:56,880 Speaker 2: fisher spiders or dark fish or spiders something like that 326 00:15:57,680 --> 00:16:00,440 Speaker 2: where they found that after the female eats the male, 327 00:16:01,240 --> 00:16:05,320 Speaker 2: she has more success like healthier offspring and more offspring 328 00:16:05,520 --> 00:16:08,480 Speaker 2: when she eats the male than if she immediately ate 329 00:16:08,520 --> 00:16:10,960 Speaker 2: an alternative prey like a cricket or something like that. 330 00:16:11,080 --> 00:16:15,960 Speaker 2: So there's something involved in that exchange that helps reproduction 331 00:16:16,120 --> 00:16:19,920 Speaker 2: and natural selection go full steam ahead, I guess. And 332 00:16:20,040 --> 00:16:21,440 Speaker 2: whatever species says. 333 00:16:21,200 --> 00:16:23,400 Speaker 1: That, Wow, that's super interesting. 334 00:16:23,440 --> 00:16:24,080 Speaker 2: I thought so too. 335 00:16:25,440 --> 00:16:28,800 Speaker 1: They mate, the green ones, that is, mate every other 336 00:16:28,880 --> 00:16:31,240 Speaker 1: year because it's a lot. I think we could admit 337 00:16:31,360 --> 00:16:36,200 Speaker 1: that that big sex ball that they formed sometimes for weeks, yeah, 338 00:16:36,200 --> 00:16:38,080 Speaker 1: and just you know, the seven month pregnancy and they're 339 00:16:38,120 --> 00:16:39,480 Speaker 1: not eating. It's just a lot. So they do this 340 00:16:39,560 --> 00:16:43,080 Speaker 1: every other year. Greens have about thirty babies at a time. 341 00:16:43,640 --> 00:16:46,600 Speaker 1: Yellow ones have about forty, but there is at least 342 00:16:46,640 --> 00:16:49,720 Speaker 1: one verified case of a green and a conda having 343 00:16:49,800 --> 00:16:50,720 Speaker 1: eighty two baby. 344 00:16:50,760 --> 00:16:56,080 Speaker 2: And aconda snakes, yeah that's I mean that poor snake. Yeah, 345 00:16:56,120 --> 00:16:59,880 Speaker 2: it's like my ache and back. They have live births too. 346 00:17:00,040 --> 00:17:03,040 Speaker 2: They're viviparous rather than oviparis. They don't lay eggs like 347 00:17:03,080 --> 00:17:07,360 Speaker 2: some kinds of snakes. And regardless however the baby comes out, 348 00:17:07,400 --> 00:17:10,720 Speaker 2: they don't do any parenting. They're just done. They have 349 00:17:10,800 --> 00:17:13,520 Speaker 2: their babies and they just slither off and the babies 350 00:17:13,520 --> 00:17:16,639 Speaker 2: are on their own immediately and they just start swimming 351 00:17:16,680 --> 00:17:20,000 Speaker 2: around and eating whatever is in the area. And then 352 00:17:20,280 --> 00:17:22,840 Speaker 2: after three or four years they get into their own 353 00:17:22,880 --> 00:17:26,720 Speaker 2: breeding ball situations and the circle of life just keeps 354 00:17:26,720 --> 00:17:27,439 Speaker 2: continuing on. 355 00:17:28,119 --> 00:17:30,359 Speaker 1: Yeah, and those babies are a couple of feet long, 356 00:17:31,320 --> 00:17:37,199 Speaker 1: and that feels like a pretty good place to break. Yeah. Yeah, 357 00:17:37,320 --> 00:17:39,879 Speaker 1: I don't know why I said ya as opposed to nay. 358 00:17:40,040 --> 00:18:06,600 Speaker 2: We'll be right back, so, chuck. There are different species 359 00:18:06,680 --> 00:18:10,000 Speaker 2: of anaconda's and one of the things that's extremely interesting 360 00:18:10,000 --> 00:18:13,879 Speaker 2: about this that I guess the taxonomy of anacondas is 361 00:18:13,880 --> 00:18:17,639 Speaker 2: that very recently they've shaken things up. I mean, if 362 00:18:17,680 --> 00:18:19,920 Speaker 2: you're a herpetologist, this is one of the most exciting 363 00:18:19,960 --> 00:18:21,840 Speaker 2: things in your field to come along in a really 364 00:18:21,880 --> 00:18:25,720 Speaker 2: long time. I'm guessing yeah, I bet you're right. So originally, 365 00:18:25,880 --> 00:18:31,360 Speaker 2: up until very recently, scientists divided anacondas into four species. 366 00:18:31,400 --> 00:18:36,320 Speaker 2: There was the green anticonda Eunectes marinus, which we talked 367 00:18:36,320 --> 00:18:42,679 Speaker 2: about basically this whole time, yellow anaconda Eunectes notaeus, the 368 00:18:42,800 --> 00:18:46,159 Speaker 2: benny doesn't even it's not even called an anaconda, that's 369 00:18:46,200 --> 00:18:50,359 Speaker 2: how odd it is. That's Eunctes beniensis. And then the 370 00:18:50,440 --> 00:18:57,200 Speaker 2: dark spotted anacona anaconda, which is Eunectes deshausen seal deshow 371 00:18:57,320 --> 00:19:01,720 Speaker 2: and seal? Did I say that right, mister German pronunciation? Guy? 372 00:19:02,040 --> 00:19:03,560 Speaker 1: I think that is an eye at the end and 373 00:19:03,600 --> 00:19:04,080 Speaker 1: on an. 374 00:19:04,080 --> 00:19:07,719 Speaker 2: L des showing see. 375 00:19:08,480 --> 00:19:12,080 Speaker 1: I think that is exactly right. It's definitely a German word. 376 00:19:12,320 --> 00:19:14,600 Speaker 2: So those four species are the ones that they've they've 377 00:19:14,600 --> 00:19:18,680 Speaker 2: considered anti condas since time immemorial. But within the last 378 00:19:18,800 --> 00:19:20,800 Speaker 2: year or so they're like, this is all wrong. We 379 00:19:20,880 --> 00:19:25,040 Speaker 2: need to reconfigure stuff into like a new breeding ball 380 00:19:25,080 --> 00:19:26,920 Speaker 2: of species of anaconda. 381 00:19:27,560 --> 00:19:30,560 Speaker 1: Yeah, there was a paper, as Emily likes to say, 382 00:19:30,560 --> 00:19:36,200 Speaker 1: probably a white paper from last year, where an international 383 00:19:36,200 --> 00:19:40,320 Speaker 1: team of scientists got together. They had probably the leading 384 00:19:40,320 --> 00:19:44,879 Speaker 1: anaconda expert in the world, Jesus Revas of New Mexico 385 00:19:44,960 --> 00:19:47,560 Speaker 1: Highlands University, and they got together and said, guys, I 386 00:19:47,560 --> 00:19:49,600 Speaker 1: think we gotta we gotta dig in a little deeper. 387 00:19:49,640 --> 00:19:52,120 Speaker 1: We're being a little lazy, and we got to rename 388 00:19:52,200 --> 00:19:57,280 Speaker 1: these reclassify these these snakes. We're gonna split these green 389 00:19:57,280 --> 00:20:00,760 Speaker 1: anacondas into two species, and we're gonna combined the other 390 00:20:00,800 --> 00:20:04,760 Speaker 1: three into one. And Will Smith somehow has something to 391 00:20:04,800 --> 00:20:05,119 Speaker 1: do with this. 392 00:20:05,680 --> 00:20:09,399 Speaker 2: Yeah, interestingly, So they've studied anacondas for decades and decades 393 00:20:09,440 --> 00:20:11,600 Speaker 2: to try to figure out the taxonomy is correct, because 394 00:20:11,840 --> 00:20:14,440 Speaker 2: I mean, when LINEA started taxonomy, it was all based 395 00:20:14,440 --> 00:20:16,439 Speaker 2: on like, this thing looks like this thing, And as 396 00:20:16,480 --> 00:20:18,960 Speaker 2: we've gotten better at genetic analysis, we've been like, well, 397 00:20:18,960 --> 00:20:21,480 Speaker 2: just because it looks like it, actually they're not very 398 00:20:21,560 --> 00:20:25,520 Speaker 2: related at all. That's been the case with anaconda's. But 399 00:20:25,640 --> 00:20:29,439 Speaker 2: a big chunk of the work that's been done, the 400 00:20:29,480 --> 00:20:32,160 Speaker 2: research that's been done that led to this was done 401 00:20:32,480 --> 00:20:37,120 Speaker 2: through a National Geographic Show poll to poll with Will Smith. Yeah, 402 00:20:37,200 --> 00:20:40,439 Speaker 2: there is apparently at least one episode where one of 403 00:20:40,440 --> 00:20:43,000 Speaker 2: the leaders of the way Irani people, his name was 404 00:20:43,040 --> 00:20:47,240 Speaker 2: Pente Behua, he said, Hey, Will Smith, why don't you 405 00:20:47,280 --> 00:20:50,280 Speaker 2: guys come to Ecuador and we'll hang out in the 406 00:20:50,320 --> 00:20:54,840 Speaker 2: Amazon and we'll lead you around and show you anacondas 407 00:20:54,840 --> 00:20:57,080 Speaker 2: and you guys can capture them and test them and 408 00:20:57,400 --> 00:21:00,760 Speaker 2: release them back. And that's exactly what happened. And from 409 00:21:00,800 --> 00:21:03,320 Speaker 2: that they took all sorts of blood samples and tissue 410 00:21:03,320 --> 00:21:06,040 Speaker 2: samples and did it genetic analysis and they're like, we 411 00:21:06,359 --> 00:21:07,399 Speaker 2: got this way wrong. 412 00:21:08,080 --> 00:21:10,879 Speaker 1: Yeah, And Will Smith said, what did the five fingers 413 00:21:10,920 --> 00:21:11,639 Speaker 1: say to the face? 414 00:21:12,040 --> 00:21:14,919 Speaker 2: I know, man, that's that is gonna be tough for 415 00:21:15,000 --> 00:21:16,359 Speaker 2: him to ever live down. 416 00:21:17,119 --> 00:21:19,840 Speaker 1: It's because it's one of the weirdest public things that's 417 00:21:19,880 --> 00:21:22,040 Speaker 1: ever happened, televised things it's ever happened. 418 00:21:22,119 --> 00:21:22,919 Speaker 2: It was weird. 419 00:21:23,160 --> 00:21:25,359 Speaker 1: Yeah, it's still mind boggling to think about. And I 420 00:21:25,359 --> 00:21:27,639 Speaker 1: remember seeing it live just being like what did I 421 00:21:27,720 --> 00:21:28,080 Speaker 1: just see? 422 00:21:28,160 --> 00:21:30,600 Speaker 2: Yeah? No, same here. I'm pretty sure I saw it 423 00:21:30,640 --> 00:21:33,359 Speaker 2: live and not a replay, but it was. But also 424 00:21:33,440 --> 00:21:35,479 Speaker 2: the violence of it, I think is what it's going 425 00:21:35,560 --> 00:21:36,919 Speaker 2: to make it so hard to live down. It was 426 00:21:37,000 --> 00:21:41,240 Speaker 2: just an ugly, ugly thing. It really was crazy. 427 00:21:42,000 --> 00:21:46,520 Speaker 1: Oh man, so strange. So they did some research and 428 00:21:46,560 --> 00:21:48,320 Speaker 1: again you said that, you know, once we sort of 429 00:21:48,320 --> 00:21:50,360 Speaker 1: get into the genetics, just because something looks like something 430 00:21:50,400 --> 00:21:52,960 Speaker 1: doesn't mean much. So they did that. They got into 431 00:21:53,040 --> 00:21:58,080 Speaker 1: the genetics of these snakes, and they found that the 432 00:21:58,119 --> 00:22:02,639 Speaker 1: two green anaconda types, because you know they reclassified, were 433 00:22:03,280 --> 00:22:06,840 Speaker 1: split up. They were they diverged because of probably plate 434 00:22:06,880 --> 00:22:10,679 Speaker 1: tectonic activity about ten million years ago, when plates smashed 435 00:22:10,680 --> 00:22:13,320 Speaker 1: together and created a big like ridge or a mountain range, 436 00:22:13,359 --> 00:22:15,359 Speaker 1: and all of a sudden, it's like the Berlin Wall, 437 00:22:15,920 --> 00:22:18,080 Speaker 1: and they were split up. And they look a lot 438 00:22:18,119 --> 00:22:19,800 Speaker 1: alike if you look like them, like you were saying, 439 00:22:19,840 --> 00:22:23,200 Speaker 1: but their genomes differ by about five and a half percent, 440 00:22:23,240 --> 00:22:24,679 Speaker 1: which is a lot genetically. 441 00:22:25,000 --> 00:22:27,480 Speaker 2: Yeah, humans and chimps are separated by about two percent, 442 00:22:27,560 --> 00:22:30,399 Speaker 2: and these are identical looking snakes, so they are definitely 443 00:22:30,440 --> 00:22:33,119 Speaker 2: different species. And it just goes to show you, like 444 00:22:33,160 --> 00:22:39,480 Speaker 2: how species put into very similar habitats a long time ago, 445 00:22:39,840 --> 00:22:43,080 Speaker 2: that those small changes that spread out and out and 446 00:22:43,119 --> 00:22:46,480 Speaker 2: out over millions of years can have huge sweeping effects 447 00:22:46,480 --> 00:22:50,919 Speaker 2: that their genomes could be divergent by five percent just 448 00:22:51,000 --> 00:22:53,240 Speaker 2: over that time, which is the basis of chaos theory. 449 00:22:54,000 --> 00:22:58,479 Speaker 2: Oh really Yeah, the little tiny changes inputs early on 450 00:22:58,560 --> 00:23:01,840 Speaker 2: over a long enough span of time, completely different things 451 00:23:02,160 --> 00:23:04,160 Speaker 2: over long spans of time. 452 00:23:04,720 --> 00:23:07,440 Speaker 1: You should say that all as Jeff Goldbloom. 453 00:23:08,240 --> 00:23:11,080 Speaker 2: I can't. I wish I could do a Jeff Goldbloom. Yeah, 454 00:23:11,520 --> 00:23:13,960 Speaker 2: that would be amazing. I saw him once in person 455 00:23:14,000 --> 00:23:17,639 Speaker 2: outside of the What's the place we always stayed for 456 00:23:17,720 --> 00:23:18,359 Speaker 2: sketch fiest. 457 00:23:19,080 --> 00:23:21,200 Speaker 1: I saw him outside the hotel too. He was there 458 00:23:21,359 --> 00:23:23,240 Speaker 1: the same time, and I was at one point even 459 00:23:23,280 --> 00:23:25,439 Speaker 1: in a little circular group with friends, I knew that 460 00:23:25,560 --> 00:23:28,359 Speaker 1: knew him, and I just stayed quiet and tried to 461 00:23:28,400 --> 00:23:30,200 Speaker 1: just be among Jeff Goldbloom. 462 00:23:30,280 --> 00:23:32,360 Speaker 2: I feel like we talked about this at the San 463 00:23:32,400 --> 00:23:33,359 Speaker 2: Francisco show. 464 00:23:34,119 --> 00:23:37,000 Speaker 1: I think so. And my takeaway just from being near 465 00:23:37,080 --> 00:23:40,320 Speaker 1: him is that boy, he was a charming, lovely guy 466 00:23:40,400 --> 00:23:43,320 Speaker 1: that seemed like he wanted every interaction with the person 467 00:23:43,359 --> 00:23:45,679 Speaker 1: to leave thinking like, what a great dude that guy is. 468 00:23:45,800 --> 00:23:50,560 Speaker 2: Andy smells like a million dollars, a million bucks. So, yeah, 469 00:23:50,560 --> 00:23:52,240 Speaker 2: I wish I could do a Jeff Goldblum too, I 470 00:23:52,240 --> 00:23:53,200 Speaker 2: guess is what I'm trying. 471 00:23:53,040 --> 00:23:57,240 Speaker 1: To say, so we should mention the range quickly before 472 00:23:57,280 --> 00:24:03,320 Speaker 1: we probably break again. The greens obviously almost all of 473 00:24:03,359 --> 00:24:07,520 Speaker 1: Brazil and other parts of South America east of the 474 00:24:07,520 --> 00:24:11,479 Speaker 1: Andes up the northern Venezuela coast. You can find them 475 00:24:11,520 --> 00:24:16,200 Speaker 1: as far south as Paraguay, and interestingly, also maybe unlucky 476 00:24:16,200 --> 00:24:18,240 Speaker 1: for them, on the Caribbean island of Trinidad. 477 00:24:18,359 --> 00:24:21,840 Speaker 2: Yes, okay, now here's where the salt tolerance thing comes up. 478 00:24:22,320 --> 00:24:24,560 Speaker 2: I could not figure out if you look at a map, 479 00:24:24,640 --> 00:24:29,160 Speaker 2: Trinidad is there's a part of Venezuela that's no more 480 00:24:29,200 --> 00:24:33,520 Speaker 2: than ten miles away from Trinidad and Tobago, the islands 481 00:24:33,600 --> 00:24:37,720 Speaker 2: right off of Venezuela. So these things can swim and 482 00:24:37,800 --> 00:24:39,800 Speaker 2: hold their breath for ten minutes. I was like, how 483 00:24:39,840 --> 00:24:42,480 Speaker 2: did they get to Trinidad? Did they swim? I still 484 00:24:42,520 --> 00:24:44,720 Speaker 2: have no idea how they got to Trinidad. It had 485 00:24:44,760 --> 00:24:48,200 Speaker 2: to have been, you know, at a point in time 486 00:24:48,200 --> 00:24:52,280 Speaker 2: when Trinidad was still fused to maybe to South America 487 00:24:52,400 --> 00:24:54,439 Speaker 2: or like maybe the sea levels were lower so there 488 00:24:54,480 --> 00:24:56,919 Speaker 2: was a land bridge. I don't know, but that's how 489 00:24:56,960 --> 00:24:59,520 Speaker 2: I found out that they're not salt tolerant they're only 490 00:25:00,200 --> 00:25:04,520 Speaker 2: freshwater snakes, because no, they couldn't have swam to Trinidad. 491 00:25:04,560 --> 00:25:05,320 Speaker 2: That's the answer to. 492 00:25:05,359 --> 00:25:08,840 Speaker 1: That, even if they vaselined up and wore the the 493 00:25:08,880 --> 00:25:11,440 Speaker 1: goggles and the skull cap. 494 00:25:12,080 --> 00:25:13,560 Speaker 2: And the bike shorts. 495 00:25:14,119 --> 00:25:16,280 Speaker 1: Yeah, oh yeah, they were bike shorts these days. 496 00:25:16,400 --> 00:25:19,160 Speaker 2: What was it that Pee Wee Herman thing in Pee 497 00:25:19,200 --> 00:25:21,800 Speaker 2: Wee's Big Adventure? He said, oh, yeah, he's talking about 498 00:25:21,840 --> 00:25:23,679 Speaker 2: blowing your mind. He's like, have you ever seen a 499 00:25:23,960 --> 00:25:28,119 Speaker 2: snake wear a vest? You remember that part? That's Youmi's 500 00:25:28,119 --> 00:25:29,159 Speaker 2: favorite part in the entire. 501 00:25:29,200 --> 00:25:31,040 Speaker 1: I don't remember that part. That's funny. I thought I 502 00:25:31,119 --> 00:25:33,760 Speaker 1: knew that movie inside out. That's very funny. I've not 503 00:25:33,800 --> 00:25:35,720 Speaker 1: seen that documentary yet on Pee Wee Herman. I heard 504 00:25:35,720 --> 00:25:37,120 Speaker 1: it's really really good, though. 505 00:25:36,960 --> 00:25:38,480 Speaker 2: Yeah, we just watched it. It is very good. 506 00:25:39,040 --> 00:25:39,200 Speaker 1: Yeah. 507 00:25:39,280 --> 00:25:42,119 Speaker 2: There's also one we're watching called Chimp Crazy by the 508 00:25:42,119 --> 00:25:43,360 Speaker 2: guy who did Tiger. 509 00:25:43,119 --> 00:25:44,920 Speaker 1: King No No thanks. 510 00:25:45,119 --> 00:25:48,040 Speaker 2: It's it's not as hard to watch as you would think. 511 00:25:48,080 --> 00:25:51,600 Speaker 2: It's more human interest stuff, but yeah, I mean there's 512 00:25:51,640 --> 00:25:55,760 Speaker 2: still it's weird because you it's you empathize with both sides. 513 00:25:56,119 --> 00:25:57,800 Speaker 2: It's one of those documentaries. 514 00:25:58,359 --> 00:26:00,600 Speaker 1: I'm one of the few people that didn't any interest 515 00:26:00,720 --> 00:26:03,680 Speaker 1: or watch tiger Was it Tiger What Tiger King? 516 00:26:04,040 --> 00:26:06,640 Speaker 2: You kind of missed out? Man? That was something? 517 00:26:07,520 --> 00:26:08,760 Speaker 1: Yeah, I don't feel like it did. 518 00:26:08,960 --> 00:26:11,760 Speaker 2: Okay, well then yeah you might not like Chimp Crazy 519 00:26:11,800 --> 00:26:13,600 Speaker 2: then if you didn't want to watch Tiger King. 520 00:26:14,200 --> 00:26:17,359 Speaker 1: All right, shall we take that break? Yes, all right, 521 00:26:17,400 --> 00:26:20,000 Speaker 1: we'll be back and talk about human interactions with anacondas 522 00:26:20,080 --> 00:26:46,199 Speaker 1: right after this. So we mentioned that you're probably not 523 00:26:46,400 --> 00:26:50,000 Speaker 1: in danger around in anaconda. I don't know if i'd 524 00:26:50,000 --> 00:26:52,440 Speaker 1: go like partying with one, but you know, we said 525 00:26:52,440 --> 00:26:54,520 Speaker 1: they may eat like every couple of months. So if 526 00:26:54,520 --> 00:26:57,240 Speaker 1: you know for a fact that anaconda has eaten something, 527 00:26:57,560 --> 00:26:59,680 Speaker 1: those are probably the videos you're seeing on the internet. 528 00:26:59,680 --> 00:27:03,640 Speaker 1: When they're people like, you know, doing like documentary work 529 00:27:03,640 --> 00:27:05,760 Speaker 1: on anacondas, they probably know that that thing is eaten. 530 00:27:06,000 --> 00:27:08,800 Speaker 2: Yeah. Interestingly, there was a study that found that humans 531 00:27:09,119 --> 00:27:13,840 Speaker 2: who live around anaconas see a full anaconda as far 532 00:27:13,920 --> 00:27:16,760 Speaker 2: less threatening than one that doesn't have a big pot belly. 533 00:27:17,359 --> 00:27:20,439 Speaker 1: Yeah, I would say, so it makes sense. There was 534 00:27:20,480 --> 00:27:22,480 Speaker 1: a book that I don't even know if we should mention, 535 00:27:22,560 --> 00:27:25,000 Speaker 1: but a book from the fifties called Giant Snake Hunt 536 00:27:25,080 --> 00:27:28,399 Speaker 1: by a guy named Ralph Blomberg who claimed two definite 537 00:27:28,440 --> 00:27:30,760 Speaker 1: cases of people being killed by snakes. But I think 538 00:27:30,800 --> 00:27:34,960 Speaker 1: that book is probably not accurate, is my guess. There 539 00:27:35,040 --> 00:27:39,919 Speaker 1: is a video that I watched from Terra Santa, Brazil 540 00:27:40,480 --> 00:27:42,360 Speaker 1: that has a guy I'm sure you watch this too, 541 00:27:42,359 --> 00:27:45,399 Speaker 1: and anaconda standing or the guy was standing rather in 542 00:27:45,440 --> 00:27:47,879 Speaker 1: like chest deep water in a river in Brazil, and 543 00:27:47,960 --> 00:27:50,639 Speaker 1: anaconda was wrapped around him, and that his buddies up 544 00:27:50,880 --> 00:27:52,399 Speaker 1: on the boat were trying to get it off, and 545 00:27:52,480 --> 00:27:56,359 Speaker 1: he bit this snake near its head and the snake 546 00:27:56,440 --> 00:27:58,520 Speaker 1: released it and they got this guy out of there. 547 00:27:58,600 --> 00:28:01,520 Speaker 2: It was weird. If you listen close, his bite made 548 00:28:01,600 --> 00:28:04,560 Speaker 2: the same sound that Fred Flintstone makes when he bites 549 00:28:04,600 --> 00:28:08,679 Speaker 2: into something. That trump sound. I was really surprised. 550 00:28:09,400 --> 00:28:10,360 Speaker 1: It was very surprising. 551 00:28:11,200 --> 00:28:15,680 Speaker 2: So yeah, this is the that's really really rare that 552 00:28:15,680 --> 00:28:18,800 Speaker 2: that happens. And the guy was able to escape unharmed. 553 00:28:19,440 --> 00:28:21,760 Speaker 2: The point is as if if an ana konda wanted 554 00:28:21,800 --> 00:28:24,760 Speaker 2: to take you on, like you would be in big trouble. 555 00:28:25,080 --> 00:28:25,280 Speaker 1: Yeah. 556 00:28:25,359 --> 00:28:27,680 Speaker 2: Sure. It turns out that there are some people who 557 00:28:27,720 --> 00:28:30,480 Speaker 2: want an anaconda to take them on. There's a guy 558 00:28:30,560 --> 00:28:34,680 Speaker 2: named Paul Rizzoli, who, for all intents and purposes, his 559 00:28:34,840 --> 00:28:37,840 Speaker 2: chainsaw from summer school. Did you look this up and 560 00:28:37,840 --> 00:28:38,280 Speaker 2: see him? 561 00:28:39,040 --> 00:28:41,080 Speaker 1: I did, and I remember when this happened. 562 00:28:41,600 --> 00:28:44,680 Speaker 2: Okay, So Discovery Channel had a two hour special called 563 00:28:44,680 --> 00:28:48,240 Speaker 2: Eating Alive, wherein Paul Rissoli was out looking for a 564 00:28:48,280 --> 00:28:52,960 Speaker 2: giant anaconda to eat him and it was just pulse 565 00:28:53,000 --> 00:28:55,880 Speaker 2: pounding from the beginning to the last moment from what 566 00:28:55,960 --> 00:28:57,239 Speaker 2: I understand. 567 00:28:57,280 --> 00:29:00,600 Speaker 1: Yeah, he don't remember this. Oh boy. It was a 568 00:29:00,640 --> 00:29:04,040 Speaker 1: media disaster and I would like to think a low 569 00:29:04,080 --> 00:29:08,600 Speaker 1: point for Discovery Channel. But they made a carbon fiber 570 00:29:08,640 --> 00:29:12,160 Speaker 1: suit that he wore and he drenched himself in pig's blood. 571 00:29:13,320 --> 00:29:15,480 Speaker 1: And what he claimed was like, oh, I want to 572 00:29:15,480 --> 00:29:18,880 Speaker 1: bring awareness to the loss of habitats, you know, for 573 00:29:18,960 --> 00:29:21,640 Speaker 1: these snakes. But close to forty thousand people signed a 574 00:29:21,680 --> 00:29:25,280 Speaker 1: petition beforehand calling it animal abuse, saying you can't do 575 00:29:25,320 --> 00:29:28,920 Speaker 1: a show like this. The show itself was a disaster, 576 00:29:29,080 --> 00:29:34,080 Speaker 1: sort of a Heraldo digging for who is it Jimmy 577 00:29:34,120 --> 00:29:34,880 Speaker 1: Hawth or was it? 578 00:29:35,520 --> 00:29:38,120 Speaker 2: I don't know about Haffa. I know that he found 579 00:29:38,160 --> 00:29:39,200 Speaker 2: al Capone's vault. 580 00:29:39,520 --> 00:29:42,720 Speaker 1: Al Capone that was it that had nothing basically in it, 581 00:29:43,120 --> 00:29:44,760 Speaker 1: and that was kind of the deal here, where almost 582 00:29:44,800 --> 00:29:47,040 Speaker 1: all of the show is just prep In the last 583 00:29:47,080 --> 00:29:52,080 Speaker 1: fifteen minutes, this snake, this poor snake being exploited, tries 584 00:29:52,120 --> 00:29:54,360 Speaker 1: to bite him on the head and starts constricting him 585 00:29:54,360 --> 00:29:56,960 Speaker 1: and he's like, oh, oh my arm and he taps out, 586 00:29:57,000 --> 00:29:57,520 Speaker 1: and that was it. 587 00:29:57,600 --> 00:29:59,880 Speaker 2: Right. So, I think the rule of thumb here, Chuck, 588 00:29:59,920 --> 00:30:04,280 Speaker 2: is if you are in another animal's habitat messing with 589 00:30:04,360 --> 00:30:06,680 Speaker 2: it and there's a TV camera on you, you are 590 00:30:06,760 --> 00:30:10,680 Speaker 2: in the wrong. There is no exception to that. Agreed. 591 00:30:10,760 --> 00:30:13,320 Speaker 2: You are going into their house and messing with them 592 00:30:13,800 --> 00:30:17,360 Speaker 2: for your own benefit, and that's just wrong. It's wrong, 593 00:30:17,520 --> 00:30:18,440 Speaker 2: and don't do it. 594 00:30:19,120 --> 00:30:19,479 Speaker 1: Agreed. 595 00:30:19,920 --> 00:30:21,320 Speaker 2: Yeah, that's all I have to say about that. 596 00:30:21,760 --> 00:30:23,520 Speaker 1: I think we should mention a couple of these tweets though, 597 00:30:23,520 --> 00:30:24,560 Speaker 1: because they're pretty funny. 598 00:30:24,600 --> 00:30:27,920 Speaker 2: Totally. There was one person who said that they called 599 00:30:27,960 --> 00:30:31,480 Speaker 2: it eaten Alive because getting squeezed really hard didn't sound 600 00:30:31,480 --> 00:30:34,000 Speaker 2: as enticing. That's a good one. 601 00:30:34,720 --> 00:30:37,960 Speaker 1: Another one someone said, calling it hashtag eating the Lime 602 00:30:38,080 --> 00:30:39,800 Speaker 1: is like having a show on the Food Network about 603 00:30:39,800 --> 00:30:41,800 Speaker 1: cooking a turkey and all they do after two hours 604 00:30:41,840 --> 00:30:46,200 Speaker 1: is pre eat the oven good stuff roasted. 605 00:30:46,360 --> 00:30:49,040 Speaker 2: I don't remember it at all, and I don't remember 606 00:30:49,080 --> 00:30:51,240 Speaker 2: it being a disaster, but I could see that. 607 00:30:52,280 --> 00:30:55,920 Speaker 1: Yeah, as far as human interaction, you know, humans are 608 00:30:55,960 --> 00:30:59,200 Speaker 1: probably a bigger threat. Not probably, humans are a bigger 609 00:30:59,240 --> 00:31:00,920 Speaker 1: threat to anacon than they are to them. 610 00:31:01,000 --> 00:31:01,480 Speaker 2: Definitely. 611 00:31:03,000 --> 00:31:05,440 Speaker 1: A lot of times it will be preemptively killed in 612 00:31:05,480 --> 00:31:09,960 Speaker 1: a small community because of fear of like small kids 613 00:31:09,960 --> 00:31:12,040 Speaker 1: maybe a little bit more of a threat, or a 614 00:31:12,080 --> 00:31:16,280 Speaker 1: small elderly person perhaps, or your livestock. A lot of 615 00:31:16,320 --> 00:31:20,160 Speaker 1: times they'll describe this as retaliatory killing because they they 616 00:31:20,320 --> 00:31:21,880 Speaker 1: ate my prize year, so I'm going to kill it. 617 00:31:21,920 --> 00:31:24,240 Speaker 1: But they did at an actual study in Brazil in 618 00:31:24,280 --> 00:31:26,800 Speaker 1: twenty fifteen and they found it it's probably more of 619 00:31:26,800 --> 00:31:29,440 Speaker 1: a preemptive fear to keep them from doing something like that. 620 00:31:29,560 --> 00:31:33,160 Speaker 2: Right, And based on your Human Development Index score, which 621 00:31:33,200 --> 00:31:38,240 Speaker 2: is a rating of education level and standard of living 622 00:31:38,360 --> 00:31:41,800 Speaker 2: and income for an area, the lower that score, the 623 00:31:41,840 --> 00:31:45,560 Speaker 2: more likely you are to kill in anaconda. I feel 624 00:31:45,560 --> 00:31:48,080 Speaker 2: like that's a little bit slanted, because I feel like 625 00:31:48,840 --> 00:31:52,400 Speaker 2: people with high Human Development Index scores probably don't live 626 00:31:52,760 --> 00:31:55,760 Speaker 2: with anacondas in their yard, So I think that's a 627 00:31:55,800 --> 00:31:59,120 Speaker 2: little bit skewed. But I get the gist that you know, 628 00:31:59,200 --> 00:32:04,120 Speaker 2: the more you're educated about, say, animals, the less likely 629 00:32:04,160 --> 00:32:05,480 Speaker 2: you are to hurt them. 630 00:32:05,800 --> 00:32:06,040 Speaker 1: Yeah. 631 00:32:06,040 --> 00:32:10,080 Speaker 2: At the same time, the more educated you are, probably 632 00:32:10,080 --> 00:32:12,960 Speaker 2: the more removed you are from animals. So it's hard 633 00:32:12,960 --> 00:32:17,120 Speaker 2: to fault people who literally live among anacondas or other 634 00:32:17,160 --> 00:32:19,280 Speaker 2: things that they perceive as a threat killing them, even 635 00:32:19,320 --> 00:32:24,080 Speaker 2: though to US and the developed world or the global 636 00:32:24,120 --> 00:32:27,760 Speaker 2: North it seems just abhorrent. We don't have to deal 637 00:32:27,840 --> 00:32:30,160 Speaker 2: with that. So it's there's a certain amount of judgment 638 00:32:30,200 --> 00:32:32,760 Speaker 2: that you have to take perspective on either way. I 639 00:32:32,800 --> 00:32:34,920 Speaker 2: wish that no one would kill an anti conda, especially 640 00:32:34,920 --> 00:32:38,920 Speaker 2: if they leave humans alone. But I can't also put 641 00:32:38,920 --> 00:32:41,400 Speaker 2: myself in the shoes of the people who live among them, 642 00:32:41,480 --> 00:32:45,120 Speaker 2: I guess, is what I'm saying. Yeah, well said, I'm 643 00:32:45,120 --> 00:32:46,880 Speaker 2: glad you said that, because I'm out of breath. 644 00:32:47,200 --> 00:32:51,680 Speaker 1: No, that's great. Yeah, Obviously, a loss of habitat is 645 00:32:51,720 --> 00:32:55,440 Speaker 1: a problem for everything in South America, draining of wetlands 646 00:32:55,440 --> 00:32:58,680 Speaker 1: for agricultural use and just you know, clear cutting of 647 00:32:58,800 --> 00:33:02,760 Speaker 1: rainforests and things like that. Despite all this, UH, they're 648 00:33:02,760 --> 00:33:06,080 Speaker 1: in pretty good shape. The International Union for Conservation of 649 00:33:06,160 --> 00:33:11,320 Speaker 1: Nature and Natural Resources classified UH or they're currently classified 650 00:33:11,360 --> 00:33:13,080 Speaker 1: as of least concern. 651 00:33:14,400 --> 00:33:15,200 Speaker 2: That was surprising. 652 00:33:15,800 --> 00:33:19,360 Speaker 1: Yeah, I mean they're they're they're doing pretty good. You 653 00:33:19,440 --> 00:33:21,960 Speaker 1: might wonder about, like, well, what about these things, like 654 00:33:22,000 --> 00:33:23,440 Speaker 1: if people bring them over and all of a sudden 655 00:33:23,440 --> 00:33:26,320 Speaker 1: they're in the swamps of Florida. Uh, there are some 656 00:33:26,440 --> 00:33:30,040 Speaker 1: anacondas in Florida, but it's generally not a problem. The 657 00:33:30,080 --> 00:33:33,120 Speaker 1: Burmese python is, you know, very much on record as 658 00:33:33,160 --> 00:33:36,880 Speaker 1: being a much much bigger problem. But regardless, Florida has 659 00:33:36,920 --> 00:33:42,400 Speaker 1: a complete ban on anaconda's and they are prohibited as pets. 660 00:33:42,440 --> 00:33:45,200 Speaker 2: They said, don't even don't even think about it. We're Florida. 661 00:33:45,440 --> 00:33:47,480 Speaker 2: We'll we'll find you. We'll hunt you down and find 662 00:33:47,520 --> 00:33:49,920 Speaker 2: you if you release an anaconda here. One of the 663 00:33:49,960 --> 00:33:53,440 Speaker 2: reasons why they're they're not a big problem as an 664 00:33:53,480 --> 00:33:56,920 Speaker 2: invasive species is because they're really hard to keep as pets, 665 00:33:57,080 --> 00:34:03,080 Speaker 2: like you essentially need like a a zoo exhibit size place. 666 00:34:04,040 --> 00:34:07,080 Speaker 2: There's a word in there somewhere that I'm missing to 667 00:34:07,640 --> 00:34:10,840 Speaker 2: keep an anaconda like at your home. Most people can't 668 00:34:10,880 --> 00:34:13,399 Speaker 2: do that. So there's not a lot of pet ana 669 00:34:13,480 --> 00:34:15,960 Speaker 2: condas anywhere that could be released in the first place. 670 00:34:16,520 --> 00:34:18,480 Speaker 1: Yeah, So we're going to finish up with a little 671 00:34:18,480 --> 00:34:21,759 Speaker 1: bit on some of the more famous ana condas, first 672 00:34:21,760 --> 00:34:24,480 Speaker 1: of which has got to be Ana Julia. This is 673 00:34:24,520 --> 00:34:28,240 Speaker 1: a twenty footer, four hundred and forty pound female, obviously green, 674 00:34:29,040 --> 00:34:31,880 Speaker 1: and probably the most famous anaconda that lived in the 675 00:34:31,880 --> 00:34:35,440 Speaker 1: Foremosa River or near Benito, Brazil, because there's a lot 676 00:34:35,440 --> 00:34:40,360 Speaker 1: of ecotourism there and Anna Julia was just present a lot. 677 00:34:40,440 --> 00:34:44,160 Speaker 1: And the water there in the river around Benito's is 678 00:34:44,200 --> 00:34:46,240 Speaker 1: pretty clear as far as that kind of water goes, 679 00:34:46,640 --> 00:34:50,000 Speaker 1: and Anna Julia was not aggressive, so she was like, Hey, 680 00:34:50,080 --> 00:34:52,000 Speaker 1: if you want to make a documentary about me, I'm 681 00:34:52,080 --> 00:34:53,000 Speaker 1: right here, let's do it. 682 00:34:53,000 --> 00:34:54,680 Speaker 2: Come on in the water's fine. 683 00:34:54,880 --> 00:34:56,680 Speaker 1: Yeah, or maybe you don't come on in the water. 684 00:34:57,560 --> 00:35:00,800 Speaker 2: So there's a yeah. Well there's actually from that study 685 00:35:00,840 --> 00:35:03,880 Speaker 2: that pulled the pole national geographic thing that contributed to 686 00:35:04,000 --> 00:35:07,440 Speaker 2: a huge study that changed the species arrangement, the taxonomy. 687 00:35:07,880 --> 00:35:10,200 Speaker 2: One of the biologists involved in that, there's a video 688 00:35:10,800 --> 00:35:15,440 Speaker 2: of him swimming alongside Anna Julia and she's totally underwater, 689 00:35:15,560 --> 00:35:18,480 Speaker 2: just swimming along and does not seem at all bothered 690 00:35:18,480 --> 00:35:20,560 Speaker 2: by his presence. I mean, he's not like trying to 691 00:35:20,640 --> 00:35:23,640 Speaker 2: ride or anything like that. He's not putting any on her. 692 00:35:24,360 --> 00:35:27,440 Speaker 1: Was he the one wearing the freaking dress shirt? 693 00:35:28,239 --> 00:35:31,400 Speaker 2: I think so. Yeah, he was not dressed for snorkeling 694 00:35:31,520 --> 00:35:32,000 Speaker 2: or swimming. 695 00:35:32,320 --> 00:35:35,759 Speaker 1: It was very weird. Well, and I immediately went to 696 00:35:35,760 --> 00:35:37,600 Speaker 1: the comments. I'm like, surely I'm not the only one 697 00:35:37,640 --> 00:35:40,399 Speaker 1: that is noticing this, And of course everyone is like, well, 698 00:35:40,400 --> 00:35:42,680 Speaker 1: I see the guy dressed, you know, formal for the occasion, 699 00:35:42,680 --> 00:35:45,440 Speaker 1: and everyone's talking about this guy wearing I mean, it 700 00:35:45,440 --> 00:35:49,360 Speaker 1: may be one of those weird sort of moisture wicking 701 00:35:49,960 --> 00:35:53,120 Speaker 1: all weather outdoor shirts that just is a button up. 702 00:35:53,200 --> 00:35:55,000 Speaker 1: But why swimming in a button up? 703 00:35:55,080 --> 00:35:56,640 Speaker 2: I get the impression that he's Dutch. 704 00:35:57,800 --> 00:35:59,520 Speaker 1: Oh, that explained it. 705 00:35:59,840 --> 00:36:03,400 Speaker 2: So what's sad about it, though, is that Anna Julia 706 00:36:03,520 --> 00:36:08,160 Speaker 2: was found dead just a few weeks after this research 707 00:36:08,480 --> 00:36:10,799 Speaker 2: that she was a huge part of, like because she 708 00:36:10,880 --> 00:36:13,799 Speaker 2: was so docile, they were able to closely study and 709 00:36:13,840 --> 00:36:16,719 Speaker 2: observe her, and she contributed greatly to our understanding of 710 00:36:16,760 --> 00:36:19,480 Speaker 2: Ana Conda's and she died like five weeks after that 711 00:36:19,520 --> 00:36:22,680 Speaker 2: research was published, that big twenty twenty four paper, And 712 00:36:22,760 --> 00:36:26,040 Speaker 2: of course everybody's like, somebody like, who shot Anna Julia. 713 00:36:26,400 --> 00:36:29,080 Speaker 2: It was like a murder mystery that Netflix quickly made 714 00:36:29,120 --> 00:36:32,759 Speaker 2: a ten part series about. And it turns out that 715 00:36:32,800 --> 00:36:34,160 Speaker 2: she died of natural causes. 716 00:36:34,680 --> 00:36:37,360 Speaker 1: Yeah, which is sad, but good to know that she 717 00:36:37,480 --> 00:36:38,040 Speaker 1: was not killed. 718 00:36:38,280 --> 00:36:39,160 Speaker 2: Yeah, definitely. 719 00:36:39,680 --> 00:36:41,719 Speaker 1: If you live in Saint Louis, you're probably screaming at 720 00:36:41,800 --> 00:36:43,640 Speaker 1: us right now. You got to mention Jlo. Guys, you 721 00:36:43,680 --> 00:36:46,720 Speaker 1: got to mention j Lo. J Loo was the eighteen 722 00:36:46,760 --> 00:36:50,160 Speaker 1: foot two hundred and ten pound anaconda that lived for 723 00:36:50,200 --> 00:36:53,359 Speaker 1: about a dozen years at the Saint Louis Zoo. And 724 00:36:54,600 --> 00:36:57,120 Speaker 1: you know, feel what you want about zoos, but this 725 00:36:57,239 --> 00:37:01,560 Speaker 1: ana conda was saved, actually escaped being sold for meat 726 00:37:01,560 --> 00:37:05,960 Speaker 1: and skin at a Guyana market and an animal exporter 727 00:37:06,080 --> 00:37:09,759 Speaker 1: stepped in, bought the snake and brought to j Lo 728 00:37:10,080 --> 00:37:13,440 Speaker 1: to the zoo in twenty ten and was apparently the 729 00:37:13,480 --> 00:37:16,960 Speaker 1: star of the show. At they're developing herbetarium. 730 00:37:17,440 --> 00:37:21,080 Speaker 2: Yeah, and the animal exporter who brought her very famously 731 00:37:21,160 --> 00:37:24,359 Speaker 2: put her in what looked like a present box with 732 00:37:24,400 --> 00:37:25,960 Speaker 2: like a bow on it and everything. It was like 733 00:37:26,160 --> 00:37:28,080 Speaker 2: here you go, guys, and let him open it, and 734 00:37:28,120 --> 00:37:30,720 Speaker 2: all of a sudden, j Lo sprung out and coiled 735 00:37:30,719 --> 00:37:34,120 Speaker 2: herself in a very like happy, playful way around the 736 00:37:34,200 --> 00:37:34,880 Speaker 2: zoo keeper. 737 00:37:35,480 --> 00:37:37,040 Speaker 1: Yeah, kind of like a genuine hug. 738 00:37:37,160 --> 00:37:42,760 Speaker 2: Yeah, exactly, and slithered off. And because ana Conda's sound 739 00:37:43,040 --> 00:37:46,200 Speaker 2: just like this anaconda in the movie Anakanda, she went 740 00:37:46,400 --> 00:37:50,520 Speaker 2: eye as she slithered off, because that's the sound that 741 00:37:50,520 --> 00:37:51,359 Speaker 2: that snakes make. 742 00:37:53,800 --> 00:37:56,839 Speaker 1: That sounds sort of like the sound that the mummy makes. 743 00:37:56,880 --> 00:38:01,239 Speaker 1: Did you ever see that special? No, they they were 744 00:38:01,280 --> 00:38:03,840 Speaker 1: just talking about this on the Threedom podcast with Scott Ackerman, 745 00:38:03,880 --> 00:38:07,279 Speaker 1: Lauren Lapkins, and Paula Tompkins, where there was another one 746 00:38:07,280 --> 00:38:09,560 Speaker 1: of the specials. So let's recreate this thing that we 747 00:38:09,640 --> 00:38:12,520 Speaker 1: have no idea what it sounded like. And they tried 748 00:38:12,520 --> 00:38:16,600 Speaker 1: to recreate what a mummy sounded like by building this 749 00:38:16,760 --> 00:38:21,000 Speaker 1: i think a three D mummy voice box and passing 750 00:38:21,040 --> 00:38:23,040 Speaker 1: air through it. And it was just sort of like. 751 00:38:23,040 --> 00:38:29,280 Speaker 2: He a mummy, a dead human being that's been embalmed. Yeah, 752 00:38:29,320 --> 00:38:32,000 Speaker 2: that's bizarre. I mean, I'm sure they sounded like a 753 00:38:32,080 --> 00:38:34,720 Speaker 2: human pre mummy, and then they didn't sound like anything 754 00:38:34,719 --> 00:38:39,040 Speaker 2: because they were dead post mummification. That's just ah, I know, 755 00:38:40,239 --> 00:38:41,480 Speaker 2: my mind just got blown. 756 00:38:44,440 --> 00:38:47,480 Speaker 1: I'm with you. It was a very strange thing. Okay, 757 00:38:47,760 --> 00:38:49,040 Speaker 1: I don't know why they did it. I don't know 758 00:38:49,120 --> 00:38:50,840 Speaker 1: much about it other than hearing it on threeedom and 759 00:38:51,120 --> 00:38:52,640 Speaker 1: looking it up because I had to hear the sound. 760 00:38:53,160 --> 00:38:55,680 Speaker 2: Like. We may edit that gap out, but there is 761 00:38:55,719 --> 00:38:58,560 Speaker 2: a substantial pause where we were both just stunned thinking 762 00:38:58,560 --> 00:38:59,640 Speaker 2: about this for a second. 763 00:39:00,120 --> 00:39:01,520 Speaker 1: No, I think we should leave it in there, because 764 00:39:01,520 --> 00:39:03,160 Speaker 1: that was that was real life. 765 00:39:04,280 --> 00:39:06,239 Speaker 2: Who else, chuck? We got to mention Oliver from the 766 00:39:06,280 --> 00:39:07,360 Speaker 2: San Francisco Zoo. 767 00:39:08,000 --> 00:39:10,600 Speaker 1: Yeah, what's funny is I didn't. I was so caught 768 00:39:10,640 --> 00:39:13,280 Speaker 1: up in the sound that that mummy made. I didn't 769 00:39:13,320 --> 00:39:15,279 Speaker 1: even think about, like, what does that even mean? 770 00:39:15,520 --> 00:39:17,080 Speaker 2: Yeah, what are you doing? 771 00:39:17,200 --> 00:39:17,279 Speaker 1: Like? 772 00:39:17,320 --> 00:39:18,600 Speaker 2: Who thought of that idea? 773 00:39:19,320 --> 00:39:21,040 Speaker 1: Oh? I don't know. It's probably Discovery Channel. 774 00:39:21,440 --> 00:39:24,719 Speaker 2: So yeah, I mean, that's just bizarre. There's Oliver from 775 00:39:24,800 --> 00:39:28,040 Speaker 2: San Francisco Zoo. He may have been the oldest anaconda 776 00:39:29,040 --> 00:39:32,600 Speaker 2: to live in captivity. It was forty they think. And 777 00:39:32,640 --> 00:39:36,680 Speaker 2: then the oldest living snake in captivity is Annie, who 778 00:39:37,080 --> 00:39:40,640 Speaker 2: is in the Monte Casino Burg Gardens in Johannesburg, South Africa. 779 00:39:41,360 --> 00:39:46,759 Speaker 2: And in two twenty twenty one May fourteenth, twenty twenty one, 780 00:39:47,320 --> 00:39:50,560 Speaker 2: Guinness said that she was thirty seven years in three 781 00:39:50,680 --> 00:39:55,520 Speaker 2: hundred and seventeen days old. And since Olivia said that 782 00:39:55,560 --> 00:39:57,680 Speaker 2: she couldn't find any mention of her death and that 783 00:39:57,760 --> 00:40:00,719 Speaker 2: she she thinks that she's still there. She's coming up 784 00:40:00,719 --> 00:40:03,720 Speaker 2: on her forty second birthday. 785 00:40:03,960 --> 00:40:04,360 Speaker 1: Wow. 786 00:40:04,440 --> 00:40:07,319 Speaker 2: So yeah, on May sixty second, she'll be forty two 787 00:40:07,440 --> 00:40:07,919 Speaker 2: years old. 788 00:40:08,840 --> 00:40:10,120 Speaker 1: You know what they don't have in that bird? 789 00:40:10,120 --> 00:40:12,240 Speaker 2: Garden birds? 790 00:40:12,760 --> 00:40:13,000 Speaker 1: Yep. 791 00:40:14,760 --> 00:40:17,360 Speaker 2: That was great, And Chuck, we can't go any further. 792 00:40:17,920 --> 00:40:18,759 Speaker 1: All right, I'm done. 793 00:40:18,840 --> 00:40:21,640 Speaker 2: Okay, Well, Chuck's done because he just dropped the mic. 794 00:40:22,120 --> 00:40:23,960 Speaker 2: And since he did that, it's time for a listener. 795 00:40:24,040 --> 00:40:30,319 Speaker 1: Man, I'm gonna call this. Oh this is a fun 796 00:40:30,400 --> 00:40:32,200 Speaker 1: follow up. I always love it. And when we do 797 00:40:32,280 --> 00:40:36,560 Speaker 1: something on someone and like a family member writes in, 798 00:40:37,080 --> 00:40:41,959 Speaker 1: oh yeah, and that's what happened here with greed you dell. Hey, guys, 799 00:40:41,960 --> 00:40:45,680 Speaker 1: listening to the popcorn episode is delighted. You mentioned Charles Creeters, 800 00:40:46,440 --> 00:40:50,879 Speaker 1: my great great great grandfather. Here's some more information about 801 00:40:50,920 --> 00:40:52,840 Speaker 1: him and how he came to invent the popcorn machine. 802 00:40:53,160 --> 00:40:55,680 Speaker 1: He founded See Creators and Company in Chicago in eighteen 803 00:40:55,719 --> 00:40:58,600 Speaker 1: eighty five, initially building peanut roasters, patented the process of 804 00:40:58,600 --> 00:41:01,360 Speaker 1: popping popcorn and oil or seasoning as he called it, 805 00:41:01,400 --> 00:41:04,440 Speaker 1: to prevent popcorn from burning. In eighteen ninety three, patented 806 00:41:04,440 --> 00:41:07,160 Speaker 1: the first popcorn popper, which use a steam engine to 807 00:41:07,239 --> 00:41:09,439 Speaker 1: power it, and he debuted it at the eighteen ninety 808 00:41:09,440 --> 00:41:13,920 Speaker 1: three Colombian Exposition. At first, his invention wasn't getting much 809 00:41:13,920 --> 00:41:18,280 Speaker 1: attention until he started handing out freebacks of popcorn brilliant. 810 00:41:19,600 --> 00:41:22,680 Speaker 1: I love it. During the twentieth century early twentieth century, 811 00:41:22,719 --> 00:41:26,000 Speaker 1: as invention became a staple for street vendors, helping them 812 00:41:26,080 --> 00:41:29,440 Speaker 1: support themselves in their families, and today see Creators and 813 00:41:29,440 --> 00:41:33,600 Speaker 1: Companies a fifth generation family business. My grandfather, Charles D. Creators, 814 00:41:33,640 --> 00:41:35,960 Speaker 1: owns the company and both my uncles and my mom 815 00:41:36,080 --> 00:41:37,520 Speaker 1: still work there to this day. 816 00:41:37,719 --> 00:41:38,800 Speaker 2: Oh that's so cool. 817 00:41:39,440 --> 00:41:42,560 Speaker 1: I love that. That is from Garrett. I guess you Dell. 818 00:41:42,600 --> 00:41:45,080 Speaker 2: Thanks a lot, Garrett. This is a fantastic email. We 819 00:41:45,120 --> 00:41:46,960 Speaker 2: do love it when we talk about somebody and a 820 00:41:47,000 --> 00:41:51,120 Speaker 2: family member writes in, especially when they're not upset at us. 821 00:41:51,480 --> 00:41:53,600 Speaker 1: Yeah, and especially when they did something great like committing 822 00:41:53,640 --> 00:41:54,400 Speaker 1: the popcorn machine. 823 00:41:54,440 --> 00:41:57,719 Speaker 2: That's right. If you want to be like Garrett, you 824 00:41:57,719 --> 00:41:59,880 Speaker 2: can get in touch with us via email. You can 825 00:42:00,120 --> 00:42:06,080 Speaker 2: send it off to stuff podcast at iHeartRadio dot com. 826 00:42:06,200 --> 00:42:09,080 Speaker 1: Stuff you Should Know is a production of iHeartRadio. For 827 00:42:09,200 --> 00:42:13,359 Speaker 1: more podcasts myheart Radio, visit the iHeartRadio app, Apple Podcasts, 828 00:42:13,480 --> 00:42:15,320 Speaker 1: or wherever you listen to your favorite shows.