1 00:00:01,200 --> 00:00:04,640 Speaker 1: Welcome to Stuff you should Know from how Stuff Works 2 00:00:04,640 --> 00:00:14,480 Speaker 1: dot com. Hey, and welcome to the podcast. I'm Josh Clark. 3 00:00:14,560 --> 00:00:19,960 Speaker 1: There's Charles W. Chuck Bryant, and there's Jerry Roland and 4 00:00:20,200 --> 00:00:24,239 Speaker 1: stuff you should not. My vocal cords are about to 5 00:00:24,320 --> 00:00:28,320 Speaker 1: split wide open. Are they sure you don't sound weird? Oh? 6 00:00:28,360 --> 00:00:36,839 Speaker 1: Really nice? I'm very Josh like. What is that is? He? 7 00:00:37,920 --> 00:00:42,720 Speaker 1: I think that's how you pronounce it? Um? Wait, you 8 00:00:42,720 --> 00:00:47,120 Speaker 1: got a little uh threat thing? No, you know, like 9 00:00:47,159 --> 00:00:49,800 Speaker 1: when you just talk too much? Have you been talking 10 00:00:49,840 --> 00:00:54,200 Speaker 1: too much? I guess, or you're stressed. I was under 11 00:00:54,240 --> 00:00:57,080 Speaker 1: the impression that, aside from these two hours, you just 12 00:00:57,080 --> 00:00:59,920 Speaker 1: sort of sit in silence and you and you meet 13 00:01:00,000 --> 00:01:05,920 Speaker 1: pantomime right everything we do? Uh, interpretive dance. Yeah, I 14 00:01:05,920 --> 00:01:09,640 Speaker 1: gotta say my my vocal courts. Babe. Well, I'm sorry 15 00:01:09,680 --> 00:01:12,000 Speaker 1: to hear that you sound normal. Well, I'm glad I 16 00:01:12,040 --> 00:01:13,720 Speaker 1: saund normal because I don't feel like I do. But 17 00:01:13,760 --> 00:01:17,039 Speaker 1: if I sound normal, who cares about how I feel? Oh? 18 00:01:17,120 --> 00:01:23,679 Speaker 1: Come on, everyone cares? No. Uh. This podcast, by the way, 19 00:01:24,000 --> 00:01:27,160 Speaker 1: has perhaps the best band name ever right there in 20 00:01:27,160 --> 00:01:32,200 Speaker 1: its title. I think it's overdone. Charismatic Megafauna. What do 21 00:01:32,280 --> 00:01:34,880 Speaker 1: you mean, like there's so many bands name that, or 22 00:01:34,920 --> 00:01:37,720 Speaker 1: you just think the name is too much the ladder 23 00:01:37,760 --> 00:01:41,920 Speaker 1: of those two, he's pretty good now, charismatic Mega fauna. 24 00:01:42,000 --> 00:01:45,720 Speaker 1: I mean maybe for your second band, your side gig. No, no, no, 25 00:01:46,000 --> 00:01:48,440 Speaker 1: like the second before you know, your third, fourth or 26 00:01:48,480 --> 00:01:52,240 Speaker 1: fifth one where you finally hit it. I'm still waiting 27 00:01:52,280 --> 00:01:58,880 Speaker 1: on that. Are you know the first? But a hobby 28 00:01:59,720 --> 00:02:03,680 Speaker 1: that offen the omega and nothing in between? How do 29 00:02:03,720 --> 00:02:07,840 Speaker 1: you like my Latin? Is that Greek? Now this is 30 00:02:07,880 --> 00:02:10,600 Speaker 1: off to a terrible start. No, this is great. So 31 00:02:10,760 --> 00:02:13,720 Speaker 1: I saw a T shirt the other day. Um, I 32 00:02:13,720 --> 00:02:15,760 Speaker 1: should give credit worre credits due you me saw a 33 00:02:15,760 --> 00:02:17,160 Speaker 1: T shirt the other day and showed it to me. 34 00:02:17,240 --> 00:02:20,000 Speaker 1: It's pretty awesome, you know. Um it was a World 35 00:02:20,000 --> 00:02:24,760 Speaker 1: Wildlife Fund logo because you were just walking around kicking rocks. 36 00:02:24,600 --> 00:02:27,920 Speaker 1: She's not looking up. Look up every up, she panomimes, 37 00:02:28,000 --> 00:02:33,480 Speaker 1: look up now, pano back. Um it was the World 38 00:02:33,480 --> 00:02:37,840 Speaker 1: Wildlife Fund logo with the panda, but there was another 39 00:02:37,919 --> 00:02:41,400 Speaker 1: panda coming up behind it with a folding chair, which 40 00:02:41,440 --> 00:02:44,359 Speaker 1: is a play on the w WF. I've seen that before. Great, 41 00:02:44,639 --> 00:02:49,240 Speaker 1: great T shirt, um, But the fact that the panda 42 00:02:49,440 --> 00:02:54,919 Speaker 1: is the front man for the World Wildlife Foundation, one 43 00:02:54,919 --> 00:02:59,840 Speaker 1: of the biggest conservation organizations in the entire world. Is 44 00:03:00,120 --> 00:03:04,960 Speaker 1: actually a pretty good um example of the use of 45 00:03:05,000 --> 00:03:10,639 Speaker 1: a charismatic megafauna. Yeah um, which is also called a 46 00:03:10,680 --> 00:03:14,200 Speaker 1: flagship species, and it's um a term that came around 47 00:03:14,200 --> 00:03:16,639 Speaker 1: in the eighties. I tried to find track it back 48 00:03:16,680 --> 00:03:18,799 Speaker 1: to the person who thought of it. Couldn't either. I 49 00:03:18,800 --> 00:03:24,320 Speaker 1: couldn't do it. Let's go with Jack Hannah, all right, possible, Yeah, 50 00:03:24,360 --> 00:03:29,240 Speaker 1: it's possible. But basically it's very simple. This is a 51 00:03:29,320 --> 00:03:34,080 Speaker 1: koala or a panda right now, but sort of yes, um, 52 00:03:34,120 --> 00:03:39,440 Speaker 1: it's an animal that is like the poster child in 53 00:03:39,560 --> 00:03:45,280 Speaker 1: advertising for zoos and conservation groups because they're so stinking 54 00:03:45,440 --> 00:03:49,680 Speaker 1: cute and charismatic that people open their wallets to give 55 00:03:49,720 --> 00:03:53,400 Speaker 1: money towards conservation efforts. You just make it rain on them. Yeah, Like, 56 00:03:53,480 --> 00:03:56,560 Speaker 1: look at that panda. I can't My wallet is out 57 00:03:56,640 --> 00:04:00,200 Speaker 1: all of a sudden, and I'm just pulling Benjamin's out 58 00:04:00,280 --> 00:04:04,160 Speaker 1: and dropping them along this pandis trail. Yeah, that is 59 00:04:04,280 --> 00:04:07,560 Speaker 1: charismatic megafauna. It is. It's it's as simple as that. 60 00:04:07,920 --> 00:04:10,880 Speaker 1: And along the way, since it was kind of picked 61 00:04:10,960 --> 00:04:15,360 Speaker 1: up and coined and started to take seriously by conservationists. 62 00:04:15,400 --> 00:04:18,840 Speaker 1: It's become you know, much bigger and debated and everything. 63 00:04:18,880 --> 00:04:22,320 Speaker 1: But it really helps to understand it and bring it 64 00:04:22,360 --> 00:04:24,920 Speaker 1: down to size when you realize that it's actually it's 65 00:04:24,920 --> 00:04:31,560 Speaker 1: a conservation idea, but it's actually a marketing term. That's 66 00:04:31,600 --> 00:04:33,800 Speaker 1: That's what the whole thing is that it has nothing 67 00:04:33,839 --> 00:04:37,640 Speaker 1: to do with the importance of the species to its ecosystem, 68 00:04:37,800 --> 00:04:41,640 Speaker 1: not necessarily. It doesn't even necessarily have to do with, um, 69 00:04:42,160 --> 00:04:46,880 Speaker 1: how endangered the species is. UM. It really has to 70 00:04:46,960 --> 00:04:51,520 Speaker 1: do with how cute and relatable humans find the species 71 00:04:51,920 --> 00:04:57,240 Speaker 1: so that it will generate the most financial contributions possible 72 00:04:57,640 --> 00:05:01,400 Speaker 1: towards conservation. Yeah, it's pretty int thing. And this UM 73 00:05:01,440 --> 00:05:03,600 Speaker 1: we did an episode I think a pretty good one 74 00:05:03,600 --> 00:05:06,960 Speaker 1: on zoos quite a while back, and the controversy around 75 00:05:07,000 --> 00:05:09,080 Speaker 1: zoos and if we should even have zoos, and I 76 00:05:09,120 --> 00:05:11,760 Speaker 1: think I think I remember us both sort of agreeing 77 00:05:11,800 --> 00:05:16,800 Speaker 1: like some zoos are terrible, and then most zoos are. 78 00:05:16,839 --> 00:05:19,000 Speaker 1: I don't know about most, but many zoos these days 79 00:05:19,000 --> 00:05:23,000 Speaker 1: do such great work they are now necessary. And um 80 00:05:23,120 --> 00:05:26,680 Speaker 1: two conservation efforts or go a long way towards conservation efforts, 81 00:05:26,720 --> 00:05:30,479 Speaker 1: but we still like it's a little creepy sometimes when 82 00:05:30,480 --> 00:05:33,880 Speaker 1: you see an elephant that should roam for thousands of 83 00:05:33,880 --> 00:05:37,039 Speaker 1: miles in a you know, relatively small area, it makes 84 00:05:37,080 --> 00:05:41,240 Speaker 1: you think they who knows? Yeah, But then like, man, 85 00:05:41,279 --> 00:05:43,160 Speaker 1: it's just that thing with zoos again. Then you also 86 00:05:43,200 --> 00:05:45,000 Speaker 1: see like a child get inspired to grow up to 87 00:05:45,040 --> 00:05:46,680 Speaker 1: be a zoologists because they fell in love with the 88 00:05:46,680 --> 00:05:49,440 Speaker 1: elephant at the zoo, and then they lead conservation efforts. 89 00:05:49,440 --> 00:05:52,440 Speaker 1: So there's captive breeding programs that bring animals back from 90 00:05:52,480 --> 00:05:55,960 Speaker 1: the verge of extinction. Um, right, all this is stuff 91 00:05:56,040 --> 00:05:58,960 Speaker 1: to happen, but how often does it actually happen? Is? 92 00:05:59,680 --> 00:06:02,680 Speaker 1: I think the conservation efforts are constantly happening at most 93 00:06:02,760 --> 00:06:06,920 Speaker 1: zoos you need specifically bringing an animal back. Yeah, how 94 00:06:06,920 --> 00:06:10,640 Speaker 1: many zoologists are actually inspired by going to a zoo 95 00:06:10,680 --> 00:06:13,560 Speaker 1: as a child, like I mean, and is there a 96 00:06:13,600 --> 00:06:15,360 Speaker 1: better way to do it? I'm sure we got into 97 00:06:15,400 --> 00:06:18,279 Speaker 1: this in the in the Zoos episode. Since that, I 98 00:06:18,320 --> 00:06:20,080 Speaker 1: don't think I've been to a zoo. I think I've 99 00:06:20,080 --> 00:06:21,640 Speaker 1: been to a zoo once and I was like, I 100 00:06:21,680 --> 00:06:24,159 Speaker 1: can't go to zoos anymore. Well, I went to the 101 00:06:24,200 --> 00:06:27,760 Speaker 1: San Diego Zoo when we did our show there. Um, 102 00:06:27,800 --> 00:06:30,840 Speaker 1: and now I'm a member of the Atlanta Zoo because 103 00:06:30,839 --> 00:06:33,680 Speaker 1: I have a small child, And it's a great thing 104 00:06:33,800 --> 00:06:37,520 Speaker 1: to do with a small kid because it introduces them 105 00:06:37,520 --> 00:06:39,920 Speaker 1: the animals, which they love. It's really neat for them 106 00:06:39,960 --> 00:06:42,159 Speaker 1: to be able to see these things in person, and 107 00:06:42,279 --> 00:06:45,880 Speaker 1: it quite frankly wears her out, which is kind of 108 00:06:46,040 --> 00:06:49,160 Speaker 1: the one thing you're trying to do. Disappearance your child exhausted. 109 00:06:49,480 --> 00:06:52,840 Speaker 1: How crazy that chimpanzee is from being locked up its 110 00:06:52,880 --> 00:06:55,080 Speaker 1: whole life, Like I bet you can't run from one 111 00:06:55,520 --> 00:07:01,480 Speaker 1: animal exhibiting zookosis to the next as fast as you can. Um. So, anyway, 112 00:07:01,480 --> 00:07:03,600 Speaker 1: I've been to the Atlanta Zoo here a few times 113 00:07:03,600 --> 00:07:06,400 Speaker 1: recently because of that, and still have mixed feelings, you know, 114 00:07:07,400 --> 00:07:10,160 Speaker 1: but it's hard to not see like your twenty old 115 00:07:10,160 --> 00:07:13,560 Speaker 1: delight at seeing. I mean, one of these visits, we 116 00:07:13,600 --> 00:07:17,680 Speaker 1: caught a full on ape show. Really yeah, Like you know, 117 00:07:17,760 --> 00:07:20,360 Speaker 1: sometimes you go to the zoo and everyone's hiding. You're like, yeah, 118 00:07:20,440 --> 00:07:23,320 Speaker 1: well that's neat. There's a tiger behind that rock somewhere. 119 00:07:23,880 --> 00:07:27,120 Speaker 1: But um, we had a good day where these this 120 00:07:27,280 --> 00:07:31,480 Speaker 1: family of apes was just playing like crazy and like 121 00:07:31,560 --> 00:07:36,640 Speaker 1: this huge was it a gorilla? I can never remember 122 00:07:36,680 --> 00:07:40,760 Speaker 1: which monkeys which are apes. I think a gorilla is 123 00:07:40,760 --> 00:07:45,120 Speaker 1: a great ape. Well, this big daddy gorilla, I mean, 124 00:07:45,160 --> 00:07:48,160 Speaker 1: just to see the strength of this dude moving around 125 00:07:48,240 --> 00:07:51,520 Speaker 1: and jumping around was amazing. And he would jump off 126 00:07:51,560 --> 00:07:54,000 Speaker 1: of a rock and clap his hands, and the little 127 00:07:54,080 --> 00:07:58,400 Speaker 1: kids were playing little baby gorillas and everyone was just 128 00:07:58,440 --> 00:08:02,040 Speaker 1: like literally in awe of what they were witnessing. It 129 00:08:02,160 --> 00:08:06,640 Speaker 1: was like they pumped them full of steroids cocaine they did. 130 00:08:07,640 --> 00:08:13,239 Speaker 1: Right then, that guerrilla family was showing off their charisma. Yeah, 131 00:08:13,480 --> 00:08:18,640 Speaker 1: they have natural inherent charisma as far as um being 132 00:08:18,800 --> 00:08:23,040 Speaker 1: a charismatic species goes, because they're so relatable by humans. 133 00:08:23,200 --> 00:08:24,800 Speaker 1: Well yeah, I mean that's one of the things like, hey, 134 00:08:24,840 --> 00:08:26,720 Speaker 1: this one kind of looks like you. Don't you like 135 00:08:26,800 --> 00:08:28,800 Speaker 1: it more than other animals? Don't you want to give 136 00:08:28,880 --> 00:08:31,640 Speaker 1: us some money to protect them in the wild. And 137 00:08:31,680 --> 00:08:34,880 Speaker 1: that's the point of the charismatic mega fauna usage. Yeah, 138 00:08:34,920 --> 00:08:42,959 Speaker 1: that we're talking guerrillas, pandas, kualas, tigers, dolphins, killer whales. 139 00:08:43,600 --> 00:08:47,800 Speaker 1: Thanks free Willy. Uh. They include lions in here, and 140 00:08:47,800 --> 00:08:51,320 Speaker 1: I guess so because they're magnificent. But lions don't do 141 00:08:51,360 --> 00:08:54,040 Speaker 1: a lot. Most of the big cats just sort of 142 00:08:54,080 --> 00:08:56,760 Speaker 1: lay around. Sure, they're not running around like the gorillas. 143 00:08:57,400 --> 00:08:59,120 Speaker 1: You gotta throw your beer can at them to get 144 00:08:59,160 --> 00:09:01,959 Speaker 1: them going. They had an elephant paint a picture. They 145 00:09:01,960 --> 00:09:09,080 Speaker 1: did this little like it's a zoo, huh. They Yeah, 146 00:09:09,080 --> 00:09:11,439 Speaker 1: they put a paintbrush in its mouth and would hold 147 00:09:11,520 --> 00:09:14,760 Speaker 1: up a canvas and the elephant would like someone else, 148 00:09:14,800 --> 00:09:17,440 Speaker 1: it's smacko with the riding crop until it But you 149 00:09:17,480 --> 00:09:20,440 Speaker 1: want to know it wasn't like that. But that's actually 150 00:09:20,480 --> 00:09:23,920 Speaker 1: you can buy um paintings by elephants, but apparently they're 151 00:09:24,000 --> 00:09:27,040 Speaker 1: not very well treated. Yeah, I don't think that's. I 152 00:09:27,080 --> 00:09:29,720 Speaker 1: think at the Atlanta Zoo they treat their animals very nicely. Sure, sure, 153 00:09:29,760 --> 00:09:32,960 Speaker 1: I'm not saying that, but I mean on the internet 154 00:09:33,000 --> 00:09:35,719 Speaker 1: you can buy paintings by elephants, and yeah, if you 155 00:09:35,760 --> 00:09:38,360 Speaker 1: actually look into how the elephants are treated, probably wouldn't 156 00:09:38,400 --> 00:09:40,400 Speaker 1: want the painting. I'm sorry. I don't mean to be 157 00:09:40,520 --> 00:09:43,080 Speaker 1: super activist person, but I don't. I don't mind. It's 158 00:09:43,080 --> 00:09:45,440 Speaker 1: a you know, it's a controversy. And you know what, 159 00:09:45,480 --> 00:09:48,680 Speaker 1: there was a tiger there that was clearly exhibiting zukosis. 160 00:09:49,040 --> 00:09:51,560 Speaker 1: He was pacing back and forth, and all I could 161 00:09:51,559 --> 00:09:54,040 Speaker 1: do was think about how much that sucks for that 162 00:09:54,080 --> 00:09:56,559 Speaker 1: tiger to be there. Well, it goes to that solitary 163 00:09:56,600 --> 00:09:59,800 Speaker 1: confinement thing the episode that we did, it's virtually the 164 00:09:59,800 --> 00:10:01,840 Speaker 1: same thing. I think you even brought up suitcases in 165 00:10:01,880 --> 00:10:05,880 Speaker 1: that episode too. You know, man, that's quite a long winded, 166 00:10:06,040 --> 00:10:08,080 Speaker 1: uh sort of intro. Huh, I guess so should we 167 00:10:08,080 --> 00:10:10,120 Speaker 1: take a break already? And yeah, I'm a little worked out. 168 00:10:10,160 --> 00:10:38,040 Speaker 1: Get it back on the tracks. Yeah, all right, I 169 00:10:38,120 --> 00:10:43,319 Speaker 1: shot Josh with a sedative from an elephant gun. Now 170 00:10:43,320 --> 00:10:46,200 Speaker 1: you're drifting off, I'm a little I'm feeling pretty good. 171 00:10:46,840 --> 00:10:50,120 Speaker 1: We got a pretty good bush. All right. So we're 172 00:10:50,120 --> 00:10:53,559 Speaker 1: talking about well a lot of things, but let's get 173 00:10:53,559 --> 00:10:58,440 Speaker 1: back to characteristic, charismatic. What's wrong with me today? So 174 00:10:58,480 --> 00:11:02,760 Speaker 1: I read this this article UM on charismatic mega fauna 175 00:11:02,920 --> 00:11:07,000 Speaker 1: and then it was a survey of other journal like 176 00:11:07,040 --> 00:11:10,559 Speaker 1: scholarly articles UM, and I think they read like seventy 177 00:11:10,559 --> 00:11:12,960 Speaker 1: of them because they're basically trying to figure out what 178 00:11:13,160 --> 00:11:18,079 Speaker 1: a charismatic mega fauna definition was. UM. Apparently it was 179 00:11:18,160 --> 00:11:20,480 Speaker 1: just all over the place. It was. It's it's extremely 180 00:11:20,520 --> 00:11:22,480 Speaker 1: non scientific, and I think it is part of the 181 00:11:22,520 --> 00:11:25,240 Speaker 1: problem because it's a marketing tool. Man. These people were 182 00:11:25,280 --> 00:11:27,920 Speaker 1: trying to like whip it into shape. The best definition 183 00:11:28,000 --> 00:11:32,560 Speaker 1: they found, um or, the best explanation of what makes 184 00:11:32,760 --> 00:11:37,000 Speaker 1: an animal charismatic was from a paper called Non Human 185 00:11:37,080 --> 00:11:40,720 Speaker 1: Charisma by A. Jay Lorimer written in two thousand seven. 186 00:11:41,600 --> 00:11:47,520 Speaker 1: Um there were I think four points. One was detectability 187 00:11:47,520 --> 00:11:51,400 Speaker 1: and distinctiveness. Anybody can look at a pan and be like, 188 00:11:51,440 --> 00:11:55,080 Speaker 1: that's panda. Oh yeah, I love panda's. Look at there's 189 00:11:55,120 --> 00:11:57,480 Speaker 1: one right there, there's a panda. Well, and I think 190 00:11:57,720 --> 00:12:00,160 Speaker 1: um In the they interviewed a couple of zool just 191 00:12:00,200 --> 00:12:01,880 Speaker 1: some one of them and said, you might even know 192 00:12:02,320 --> 00:12:06,079 Speaker 1: a few facts about this. It's just a regular non 193 00:12:06,200 --> 00:12:13,440 Speaker 1: zoo enthusiast, Like panda's eat bamboo. Well, I was gonna 194 00:12:13,440 --> 00:12:15,240 Speaker 1: say that, but then I thought that was a koala, 195 00:12:15,360 --> 00:12:19,680 Speaker 1: and I was gonna koalaz eucalyptus. Yeah, yeah, that's right, yeah, 196 00:12:19,679 --> 00:12:24,160 Speaker 1: pantasy bamboo by the bushel. But you can point out 197 00:12:24,200 --> 00:12:26,360 Speaker 1: a pan and you're not like, I can't tell if 198 00:12:26,360 --> 00:12:28,760 Speaker 1: that's a camel rat or a humpback rat. You know, 199 00:12:28,880 --> 00:12:31,600 Speaker 1: like where it's it's just the same as everything else. 200 00:12:31,640 --> 00:12:34,760 Speaker 1: It has to be its own thing. That is really 201 00:12:34,920 --> 00:12:39,920 Speaker 1: that stands out. Another one is socioeconomic biases, So basically 202 00:12:40,040 --> 00:12:45,360 Speaker 1: how a society feels about the animal, right, So like 203 00:12:45,400 --> 00:12:49,280 Speaker 1: do I want to kill the rat or hug the panda? Exactly? 204 00:12:49,600 --> 00:12:52,719 Speaker 1: That's exactly right. Um. Aesthetics is another one, like is 205 00:12:52,760 --> 00:12:55,960 Speaker 1: it cute? Is it cuddly? Is it beautiful? Is it majestic? 206 00:12:56,160 --> 00:13:01,600 Speaker 1: Does it look like um, you know, uh uh, I 207 00:13:01,600 --> 00:13:05,160 Speaker 1: don't know a fat dude, right, you know, does it 208 00:13:05,240 --> 00:13:06,680 Speaker 1: like kind of look like it should be wearing a 209 00:13:06,720 --> 00:13:08,920 Speaker 1: hard hat and carrying like a lunch pail that kind 210 00:13:08,920 --> 00:13:12,080 Speaker 1: of thing. Is it relatable? Yeah, that panda, it looks 211 00:13:12,120 --> 00:13:14,640 Speaker 1: like Kevin James was wearing a black lone range of mask. 212 00:13:15,480 --> 00:13:19,120 Speaker 1: He doesn't love Kevin James wearing a black clone arrangement man. 213 00:13:19,720 --> 00:13:23,240 Speaker 1: And then the last one is the potential to generate satisfaction. Right. 214 00:13:24,240 --> 00:13:28,480 Speaker 1: So let's say that you see a panda and you're like, 215 00:13:28,520 --> 00:13:30,440 Speaker 1: I want to know what that is. I want to 216 00:13:30,440 --> 00:13:33,400 Speaker 1: know all about pandas, and you find out pandas are 217 00:13:33,440 --> 00:13:36,760 Speaker 1: really boring. There's not a lot to them. There's not 218 00:13:36,800 --> 00:13:40,280 Speaker 1: a lot to be said. Um, they do they don't 219 00:13:40,280 --> 00:13:44,280 Speaker 1: do anything it's not going to generate much satisfaction intellectually. 220 00:13:44,559 --> 00:13:47,520 Speaker 1: So if if you have an animal that checks all 221 00:13:47,520 --> 00:13:50,719 Speaker 1: these boxes, it's relatable, your society feels good about it. 222 00:13:50,720 --> 00:13:53,640 Speaker 1: It's cute, it's cuddly, it stands out on its own, 223 00:13:54,120 --> 00:13:56,520 Speaker 1: and and um, it has a lot, a lot to 224 00:13:56,600 --> 00:14:02,640 Speaker 1: offer intellectually, You've got a charismatic animal. Yeah, wow, I 225 00:14:02,720 --> 00:14:06,160 Speaker 1: like that. Well tell Ja Lormer, do you like it? 226 00:14:07,320 --> 00:14:11,240 Speaker 1: Jay Loremer? If you're out there, it's wonderful work. Uh. 227 00:14:11,320 --> 00:14:13,360 Speaker 1: So we're gonna cover sort of the good points and 228 00:14:13,400 --> 00:14:18,200 Speaker 1: bad points about this characterization. But um, when it works 229 00:14:18,440 --> 00:14:22,000 Speaker 1: is when the character uh keep saying characteristic, what is 230 00:14:22,000 --> 00:14:25,240 Speaker 1: wrong with me? Charismatic Megaphona functions as what's known as 231 00:14:25,240 --> 00:14:30,040 Speaker 1: an umbrella species, which is to say, um, because people 232 00:14:30,040 --> 00:14:33,560 Speaker 1: are giving money to some sort of conservation effort towards 233 00:14:33,560 --> 00:14:39,360 Speaker 1: this animal. Um, it's helping two protect and serve other 234 00:14:39,440 --> 00:14:44,680 Speaker 1: animals within that ecosystem the cop Yeah. Yeah, And by 235 00:14:44,920 --> 00:14:47,640 Speaker 1: the way that that makes sense, it does it does? 236 00:14:47,840 --> 00:14:49,280 Speaker 1: You have to kind of step back and think about 237 00:14:49,320 --> 00:14:52,200 Speaker 1: it though, you know, like, how does protecting, say like 238 00:14:52,240 --> 00:14:56,080 Speaker 1: a wolf help the rest of the ecosystem. Well, a 239 00:14:56,160 --> 00:15:01,960 Speaker 1: wolf feeds on smaller animals, let's say small chill under 240 00:15:02,000 --> 00:15:06,600 Speaker 1: the right circumstances. Unfortunately, Um, they typically they'll feed on 241 00:15:06,680 --> 00:15:11,880 Speaker 1: smaller animals, which say feed on insects, which say, feed 242 00:15:11,920 --> 00:15:16,200 Speaker 1: on plants. Um. So that means that if a wolf 243 00:15:16,400 --> 00:15:20,680 Speaker 1: is happy and healthy and it's normal ecosystem, that means 244 00:15:20,720 --> 00:15:23,240 Speaker 1: that all these other species that make up the food 245 00:15:23,280 --> 00:15:25,600 Speaker 1: web that the wolf is a part of must be 246 00:15:25,720 --> 00:15:30,000 Speaker 1: happy and healthy too. So and that's it's an it's 247 00:15:30,040 --> 00:15:32,440 Speaker 1: an umbrella species, like you said, where if you take 248 00:15:32,480 --> 00:15:35,080 Speaker 1: care of the wolf, you're inadvertently taking care of the 249 00:15:35,120 --> 00:15:38,440 Speaker 1: rest of them. So that's fine. Yeah. And in one 250 00:15:38,440 --> 00:15:44,200 Speaker 1: of the interviews in here, um, who is this person Braccini? 251 00:15:44,520 --> 00:15:48,720 Speaker 1: Was that from the Atlanta Zoo. Yeah. Dr Stephanie Braccini, 252 00:15:49,320 --> 00:15:51,760 Speaker 1: she says, and this is to me kind of says 253 00:15:51,760 --> 00:15:56,640 Speaker 1: it all. It would be nice if endangered species status 254 00:15:56,760 --> 00:16:02,400 Speaker 1: was correlated to a charismatic variable, but that's not necessarily 255 00:16:02,640 --> 00:16:05,400 Speaker 1: or often the case. And she brings up the point 256 00:16:05,400 --> 00:16:10,600 Speaker 1: of muscles spanglers. Freshwater muscle is critically endangered but has 257 00:16:10,640 --> 00:16:14,600 Speaker 1: no charisma, so you know, there's no correlation there. In 258 00:16:14,680 --> 00:16:16,880 Speaker 1: case the panda, there is because they were endangered, and 259 00:16:16,920 --> 00:16:19,680 Speaker 1: I think now they're just threatened, right, But there's not 260 00:16:19,720 --> 00:16:21,400 Speaker 1: always that correlation. She's like, it would be kind of 261 00:16:21,400 --> 00:16:24,400 Speaker 1: great if this was you know, this is always the case. Yeah, 262 00:16:24,480 --> 00:16:28,640 Speaker 1: I think the point underlying the use of charismatic mega 263 00:16:28,720 --> 00:16:33,360 Speaker 1: fauna is just knowing that something is on the verge 264 00:16:33,400 --> 00:16:36,640 Speaker 1: of going extinct has been proven not to be enough 265 00:16:36,720 --> 00:16:39,240 Speaker 1: to get humans to act to do anything about it 266 00:16:40,040 --> 00:16:43,400 Speaker 1: has to be cute too, And so what conservationists are saying, 267 00:16:43,720 --> 00:16:47,840 Speaker 1: after God, you're so stupid, they say, Okay, we can 268 00:16:47,880 --> 00:16:51,720 Speaker 1: work with this. See this cute little animal, save this animal, 269 00:16:52,240 --> 00:16:54,720 Speaker 1: give us your money, and then they take it and 270 00:16:54,720 --> 00:16:57,760 Speaker 1: and actually use it for the whole ecosystem rather than 271 00:16:57,800 --> 00:17:00,520 Speaker 1: just the animal. Yeah, and that's such a human thing. 272 00:17:00,600 --> 00:17:03,440 Speaker 1: Like the same can and has been said about like 273 00:17:04,359 --> 00:17:10,040 Speaker 1: kidnapped children or uh or the sex trade, Like it 274 00:17:10,119 --> 00:17:14,280 Speaker 1: takes some you know, cute little blonde girl to make 275 00:17:14,280 --> 00:17:16,840 Speaker 1: the news, you know, right, And that's kind of always 276 00:17:16,880 --> 00:17:20,240 Speaker 1: been the case. Well, and it's not it's not just 277 00:17:20,760 --> 00:17:26,000 Speaker 1: social either. It's not just society, although society definitely values attractiveness. 278 00:17:26,040 --> 00:17:29,960 Speaker 1: There have been plenty of studies about people with facial differences, right, 279 00:17:30,000 --> 00:17:33,920 Speaker 1: which is Um, like the people used to call them 280 00:17:33,960 --> 00:17:36,920 Speaker 1: disfigured people. Now it's called facial differences. I think that's 281 00:17:36,920 --> 00:17:40,720 Speaker 1: a great improvement, right, But um, they have been studies 282 00:17:40,760 --> 00:17:45,320 Speaker 1: with babies and they prefer people who, um, don't have 283 00:17:45,400 --> 00:17:51,200 Speaker 1: facial differences, who follow more like a typical facial profile 284 00:17:51,280 --> 00:17:55,960 Speaker 1: or feature, right, compared to people who have facial differences. 285 00:17:56,040 --> 00:18:00,159 Speaker 1: And that suggests that it's hardwired. So babies pause up 286 00:18:00,160 --> 00:18:03,440 Speaker 1: on this. Yeah yeah, yeah, Um. And the idea that 287 00:18:03,800 --> 00:18:07,840 Speaker 1: you're basically born to prefer, say, facial symmetry or something 288 00:18:07,920 --> 00:18:10,320 Speaker 1: like that, it really kind of falls in line with 289 00:18:10,359 --> 00:18:14,080 Speaker 1: this too. It's almost like you you can't help but say, yes, 290 00:18:14,200 --> 00:18:17,800 Speaker 1: I care about this cute little baby pand or whatever 291 00:18:17,880 --> 00:18:22,480 Speaker 1: because it's cute, whereas this other thing that is way 292 00:18:22,480 --> 00:18:26,840 Speaker 1: more endangered and deserves our attention way more because it's 293 00:18:26,840 --> 00:18:30,280 Speaker 1: actually a keystone species, which we'll talk about. Um, it's 294 00:18:30,320 --> 00:18:32,840 Speaker 1: not cute, so I can't really care about it. I'm 295 00:18:32,880 --> 00:18:35,280 Speaker 1: not hardwired to do that. Yeah, it's kind of like 296 00:18:35,320 --> 00:18:37,880 Speaker 1: that thing we've talked about before and I think recently, 297 00:18:37,880 --> 00:18:41,560 Speaker 1: where you prefer things that look like you because evolutionarily 298 00:18:41,600 --> 00:18:44,199 Speaker 1: anything else Back in Took Took's days might have been 299 00:18:44,200 --> 00:18:47,600 Speaker 1: a threat exactly. Yeah, right, So it's easy to be 300 00:18:47,720 --> 00:18:51,080 Speaker 1: hard on people, but when you kind of look at 301 00:18:51,119 --> 00:18:55,000 Speaker 1: the evolutionary aspect of it, like, you know, well they 302 00:18:55,080 --> 00:18:58,520 Speaker 1: did to understand as well. Yeah, that whole in group 303 00:18:58,520 --> 00:19:01,080 Speaker 1: outgroup thing. If we can get past that, it seems 304 00:19:01,080 --> 00:19:06,159 Speaker 1: like we are we've evolved socially faster than we've evolved biologically, 305 00:19:06,960 --> 00:19:09,280 Speaker 1: and that it just hasn't kept up. If we could 306 00:19:09,320 --> 00:19:11,760 Speaker 1: just get past that whole in group out group thing, 307 00:19:12,480 --> 00:19:14,720 Speaker 1: who knows what kind of world we'd be living in. 308 00:19:14,800 --> 00:19:17,680 Speaker 1: High school would be so great. Yeah, everybody would be like, 309 00:19:17,720 --> 00:19:23,680 Speaker 1: I love high school. So um. You talked about keystone species. Uh, 310 00:19:23,840 --> 00:19:28,240 Speaker 1: that is a species that actually performs like a really 311 00:19:28,359 --> 00:19:32,159 Speaker 1: vital role in their ecosystem. Yeah, where like if you 312 00:19:32,200 --> 00:19:36,480 Speaker 1: took them out, the ecosystem would be so altered, so 313 00:19:36,560 --> 00:19:39,960 Speaker 1: drastically altered, it probably wouldn't resemble itself any longer. It 314 00:19:40,000 --> 00:19:44,000 Speaker 1: may just go away altogether, like a honeybee or like coral. Yeah, 315 00:19:44,080 --> 00:19:47,080 Speaker 1: you know where like if it's gone, you're in trouble. 316 00:19:47,400 --> 00:19:50,879 Speaker 1: The thing is is a lot of charismatic megafauna aren't 317 00:19:50,920 --> 00:19:54,800 Speaker 1: keystone species. It actually doesn't really matter as far as 318 00:19:54,840 --> 00:19:58,600 Speaker 1: the ecosystem is concerned. If the pandas there, so there's 319 00:19:58,640 --> 00:20:01,760 Speaker 1: some other species in that ecosystem that will do the 320 00:20:01,840 --> 00:20:05,200 Speaker 1: same play the same role that the panda oil. There's 321 00:20:05,240 --> 00:20:07,760 Speaker 1: pandas right now listening that said. Did you just hear 322 00:20:07,840 --> 00:20:11,200 Speaker 1: that guy? Let's go kid him. Have you ever seen 323 00:20:11,240 --> 00:20:14,720 Speaker 1: a panda attack and kill a podcaster? Yes? Once, It's 324 00:20:14,880 --> 00:20:20,439 Speaker 1: very distressing. Pandas are supposed to be super vicious, are they? Oh? Yeah, 325 00:20:20,560 --> 00:20:23,440 Speaker 1: I thought that was a koala. Koala's as well. They're 326 00:20:23,480 --> 00:20:27,159 Speaker 1: all vicious, aren't they. Did you see the giraffe give birth? No? 327 00:20:27,400 --> 00:20:30,000 Speaker 1: I heard a lot of people talking about sitting around 328 00:20:30,000 --> 00:20:32,760 Speaker 1: and watching it forever and ever, but I didn't check 329 00:20:32,760 --> 00:20:35,720 Speaker 1: it out. It was hilariously sponsored. The webcam was sponsored 330 00:20:35,720 --> 00:20:40,400 Speaker 1: by Toys r US. You know Jeffrey giraffe, his family. 331 00:20:40,440 --> 00:20:45,920 Speaker 1: Well there you go. Interesting. Um, there's no accident, right, 332 00:20:46,200 --> 00:20:50,199 Speaker 1: I don't think so. Uh. They're also something called or 333 00:20:50,240 --> 00:20:53,360 Speaker 1: there is also something called an indicator species. And this 334 00:20:53,480 --> 00:20:56,080 Speaker 1: is like if you want to know how an ecosystem 335 00:20:56,160 --> 00:21:01,000 Speaker 1: is going. Uh, like, let's say, how's the the bayou doing. 336 00:21:01,240 --> 00:21:04,080 Speaker 1: Let's go look at the crayfish, because that would be 337 00:21:04,080 --> 00:21:06,280 Speaker 1: a good indicator of how everything else is doing. If 338 00:21:06,280 --> 00:21:08,760 Speaker 1: the crayfish numbers are down, that means something's going on, right, 339 00:21:09,119 --> 00:21:11,199 Speaker 1: or if there's if the canaries are dying off in 340 00:21:11,240 --> 00:21:16,159 Speaker 1: the coal mine, you've got gas right. Well. But in 341 00:21:16,200 --> 00:21:20,800 Speaker 1: the same way though, it's just uh, an umbrella species 342 00:21:20,840 --> 00:21:23,720 Speaker 1: can also be an indicator species, and that like if 343 00:21:23,720 --> 00:21:26,360 Speaker 1: the wolf can't survive, that means that all the other 344 00:21:26,400 --> 00:21:28,840 Speaker 1: parts of the food web are messed up too, and 345 00:21:28,880 --> 00:21:31,240 Speaker 1: they can also be an indicator species. Yeah. I don't 346 00:21:31,240 --> 00:21:35,879 Speaker 1: think that's that's how indicator species is used every time, 347 00:21:35,920 --> 00:21:38,960 Speaker 1: but it's a it's a an argument in favor of 348 00:21:39,080 --> 00:21:43,560 Speaker 1: using charismatic megafauna for conservation. Um. So we've been talking 349 00:21:43,560 --> 00:21:45,719 Speaker 1: a lot about you know, people want to give the 350 00:21:45,720 --> 00:21:48,320 Speaker 1: things that look like them and that are cute. Uh, 351 00:21:48,440 --> 00:21:50,399 Speaker 1: that this has been proven out with studies. We're not 352 00:21:50,440 --> 00:21:54,119 Speaker 1: just bloviating. Um well, I guess we are. But in 353 00:21:54,160 --> 00:21:57,359 Speaker 1: addition to bloviating, we're not making stuff up because the 354 00:21:57,520 --> 00:22:02,159 Speaker 1: University of Arizona go wildcats right, Yes, they did a 355 00:22:02,200 --> 00:22:06,440 Speaker 1: study and did find that people support preservation efforts. Oh wait, 356 00:22:06,480 --> 00:22:12,560 Speaker 1: now that's the sun devils. No, that's airs on state. Okay, Yeah, wildcats. Uh, 357 00:22:12,720 --> 00:22:16,840 Speaker 1: people did support efforts for animals that are attractive and 358 00:22:16,880 --> 00:22:20,080 Speaker 1: that do look more human. Um. And they even found 359 00:22:20,080 --> 00:22:27,160 Speaker 1: that women support uh scary animals even less than men. Right, 360 00:22:27,280 --> 00:22:31,360 Speaker 1: Like you know, preservation for a snake population or uh 361 00:22:31,400 --> 00:22:34,000 Speaker 1: maybe an insect or something. Yeah, so this is like 362 00:22:34,040 --> 00:22:41,200 Speaker 1: a barn as In approach to conservation. Yeah, promoting conservation. Um. 363 00:22:41,240 --> 00:22:46,760 Speaker 1: Also if you're if you are using charismatic megafauna for conservation, 364 00:22:47,320 --> 00:22:51,280 Speaker 1: um like it. It actually can have beneficial results, right, 365 00:22:51,320 --> 00:22:54,560 Speaker 1: It's not just like theoretically this should help. Like elephants, 366 00:22:54,560 --> 00:22:57,520 Speaker 1: everybody loves elephants. There's not a personal life who doesn't 367 00:22:57,520 --> 00:23:01,600 Speaker 1: like elephants in the West, I should say, right, um, 368 00:23:01,760 --> 00:23:06,200 Speaker 1: the and who knows why. They're very cute, they're very sweet, 369 00:23:06,320 --> 00:23:08,520 Speaker 1: they grieve over their dead, they do all sorts of 370 00:23:08,560 --> 00:23:13,760 Speaker 1: interesting stuff, right, Um. And they've used elephants to uh 371 00:23:14,000 --> 00:23:18,600 Speaker 1: basically as poster species for poaching campaigns. A lot more 372 00:23:18,640 --> 00:23:22,080 Speaker 1: than just elephants are poached. Everything from whale sharks to 373 00:23:22,520 --> 00:23:28,399 Speaker 1: rhinos to uh, well, elephants are poached. But the idea 374 00:23:28,400 --> 00:23:31,560 Speaker 1: of giving money to andy poaching campaigns because you you 375 00:23:31,600 --> 00:23:34,480 Speaker 1: feel like I want to help that elephant here's a check. 376 00:23:35,080 --> 00:23:37,560 Speaker 1: It's actually going and helping all these other species as well. 377 00:23:37,640 --> 00:23:40,879 Speaker 1: There's supposedly there's like thirty five thousand species that are 378 00:23:40,920 --> 00:23:45,080 Speaker 1: subject to poaching. Yeah, and the other example they've given 379 00:23:45,080 --> 00:23:48,040 Speaker 1: this article is the American bald eagle, which in the 380 00:23:48,080 --> 00:23:50,840 Speaker 1: sixties and seventies there was a big movement They're like, 381 00:23:50,880 --> 00:23:55,240 Speaker 1: this is America's bird. Yeah, dang it. You know Ben 382 00:23:55,280 --> 00:23:58,080 Speaker 1: Franklin wanted the turkey. I think I didn't know that 383 00:23:59,400 --> 00:24:04,119 Speaker 1: very interesting, not that you're ducking no, that would have 384 00:24:04,160 --> 00:24:07,840 Speaker 1: been even better. But yeah, in the sixties and seventies, 385 00:24:07,840 --> 00:24:09,720 Speaker 1: people were like, this is America's bird, we have to 386 00:24:09,720 --> 00:24:13,480 Speaker 1: save the American bald eagle. Um, and it worked there. 387 00:24:13,560 --> 00:24:16,440 Speaker 1: I think it's not even endangered any longer, right, I 388 00:24:16,480 --> 00:24:20,080 Speaker 1: don't think so. My in laws just saw one in Florida. Yeah, 389 00:24:20,480 --> 00:24:24,560 Speaker 1: pretty neat. Yeah, kind of just think associate them with 390 00:24:24,560 --> 00:24:27,960 Speaker 1: like Alaska and yeah, Pacific Northwest. But there was along 391 00:24:28,000 --> 00:24:31,679 Speaker 1: the Gulf. Yeah, there's like a whole group in the Gulf, 392 00:24:31,720 --> 00:24:34,320 Speaker 1: and there's a whole group up in the Great White Way. 393 00:24:35,359 --> 00:24:38,280 Speaker 1: Well above that, that's the Great White Way. I think 394 00:24:38,280 --> 00:24:41,200 Speaker 1: it's Broadway, isn't it. I don't know, I've never heard 395 00:24:41,440 --> 00:24:45,119 Speaker 1: the Broadway or Canada. I think it's Broadway. But I 396 00:24:45,160 --> 00:24:48,200 Speaker 1: thought it was Canada because I heard Scott Thompson from 397 00:24:48,200 --> 00:24:51,439 Speaker 1: the Kids in the Hall called Broadway that. So I 398 00:24:51,480 --> 00:24:53,440 Speaker 1: was like, I guess he's talking about Canada, and then 399 00:24:53,480 --> 00:24:55,520 Speaker 1: I found out he's like, it was Broadway. I think 400 00:24:55,560 --> 00:24:58,120 Speaker 1: it's Broadway. That was way more complex than I thought. 401 00:24:59,359 --> 00:25:02,520 Speaker 1: Um and the panda, you know, we mentioned um there 402 00:25:03,240 --> 00:25:07,840 Speaker 1: come back. They have a wild population increase over the 403 00:25:07,880 --> 00:25:12,440 Speaker 1: past ten or so years, largely because you know, people 404 00:25:12,440 --> 00:25:16,040 Speaker 1: love pandas. They'll open up the wallet. And again, I 405 00:25:16,040 --> 00:25:19,960 Speaker 1: mean not necessarily specifically with pandas, but with some species. 406 00:25:20,000 --> 00:25:23,800 Speaker 1: If you can say their their populations coming back in 407 00:25:23,880 --> 00:25:27,959 Speaker 1: the wild, then it also indicates that the their ecosystem 408 00:25:28,080 --> 00:25:33,160 Speaker 1: is getting better healthy again as well. So that's all 409 00:25:33,200 --> 00:25:36,879 Speaker 1: well and good. It's good that it it's made some money, 410 00:25:37,320 --> 00:25:41,120 Speaker 1: right sure, but there's also plenty of criticisms to using 411 00:25:41,200 --> 00:25:44,080 Speaker 1: charismatic mega fauna. Uh and let's take a break and 412 00:25:44,080 --> 00:26:12,120 Speaker 1: we'll talk about it right after this. So Chuck, yes, 413 00:26:12,840 --> 00:26:16,080 Speaker 1: what's what's the problem with using a cute panda or 414 00:26:16,119 --> 00:26:20,600 Speaker 1: an elephant or something like that to get money for conservation. 415 00:26:20,760 --> 00:26:24,760 Speaker 1: How could there be anything wrong with it? Well, that's there. 416 00:26:24,760 --> 00:26:27,480 Speaker 1: Another word for this is the Bambi effect, like when 417 00:26:27,480 --> 00:26:30,560 Speaker 1: you care only about the cute thing. Um. And they 418 00:26:30,600 --> 00:26:34,720 Speaker 1: interviewed for our own article, it's interesting that the Atlanta 419 00:26:34,840 --> 00:26:38,080 Speaker 1: Zoo u zoologists was like, this is kind of great 420 00:26:38,080 --> 00:26:41,399 Speaker 1: and it's working. And then they interviewed Christina Simmons of 421 00:26:41,400 --> 00:26:46,840 Speaker 1: the San Diego Zoo Global UH, and she was a 422 00:26:46,880 --> 00:26:48,600 Speaker 1: little more like, you know what, this is an eighties 423 00:26:48,640 --> 00:26:52,440 Speaker 1: thing and we have moved past that here in San Diego. 424 00:26:53,359 --> 00:26:57,040 Speaker 1: Ignore that panda on the brochure. We've moved past it. Yeah. 425 00:26:57,119 --> 00:26:59,159 Speaker 1: I thought that was funny. The article pointed out that 426 00:26:59,200 --> 00:27:03,359 Speaker 1: they had plenty of charismatic species on their website even 427 00:27:03,400 --> 00:27:06,080 Speaker 1: though they supposedly moved past it, So apparently in their 428 00:27:06,160 --> 00:27:10,000 Speaker 1: projects they stopped focusing on charismatic Mega font is what 429 00:27:10,040 --> 00:27:12,399 Speaker 1: she was saying, right, Yeah, she said that they m 430 00:27:13,200 --> 00:27:16,240 Speaker 1: what they're trying to do is focus on an environment 431 00:27:17,359 --> 00:27:20,360 Speaker 1: more than like. It's not like they don't focus on animals, 432 00:27:20,359 --> 00:27:22,920 Speaker 1: but they try to look at at it from an uh. 433 00:27:23,160 --> 00:27:25,840 Speaker 1: I guess from an ecosystem point of view? Is that right? 434 00:27:26,800 --> 00:27:29,560 Speaker 1: I think so? Or they're looking more at animals that 435 00:27:29,800 --> 00:27:34,240 Speaker 1: um have a bigger impact on their ecosystem, right than 436 00:27:34,400 --> 00:27:39,040 Speaker 1: than charismatic megafaunta Mike right, Yeah, and and um, I 437 00:27:39,040 --> 00:27:40,679 Speaker 1: don't think it was or maybe it was her. They 438 00:27:40,760 --> 00:27:42,520 Speaker 1: kind of put it in an interesting way that I 439 00:27:42,520 --> 00:27:45,280 Speaker 1: hadn't thought of. It sort of creates a class struggle, 440 00:27:45,960 --> 00:27:51,359 Speaker 1: a bit um between quote wealthy animal end quote and 441 00:27:51,400 --> 00:27:55,120 Speaker 1: a poor animal as far as their richness being determined 442 00:27:55,160 --> 00:27:58,480 Speaker 1: by their likability. Yeah, and I mean it's as simple 443 00:27:58,520 --> 00:28:02,199 Speaker 1: as that. And it's not just public awareness of you know, 444 00:28:02,320 --> 00:28:06,359 Speaker 1: these species being endangered, whereas there's plenty of other species 445 00:28:06,400 --> 00:28:09,639 Speaker 1: that aren't charismatic that are way more in trouble and 446 00:28:09,720 --> 00:28:13,520 Speaker 1: in danger of being extinct. Um, it's scientific money too, 447 00:28:13,640 --> 00:28:18,320 Speaker 1: Like scientists need funding to do their studies. And if 448 00:28:18,359 --> 00:28:22,080 Speaker 1: there's plenty of funding around to focus on pandas but 449 00:28:22,280 --> 00:28:26,280 Speaker 1: not say, those muscles that went extinct, well there's gonna 450 00:28:26,280 --> 00:28:29,320 Speaker 1: be a lot more scientific study directed towards pandas and 451 00:28:29,359 --> 00:28:32,840 Speaker 1: saving pandas than saving those muscles, even though those muscles 452 00:28:32,840 --> 00:28:37,639 Speaker 1: probably keep their aquatic ecosystem clean, whereas pandas just poop 453 00:28:37,720 --> 00:28:42,000 Speaker 1: everywhere and they don't do anything to clean up their ecosystem. 454 00:28:42,040 --> 00:28:44,800 Speaker 1: I wonder what the scientific ethics are. Maybe a researcher 455 00:28:44,800 --> 00:28:49,040 Speaker 1: can tell us about where funding goes, like if you know, 456 00:28:49,080 --> 00:28:50,800 Speaker 1: if they're like, well, let's divert some of that to 457 00:28:51,120 --> 00:28:54,800 Speaker 1: um this other species, whereas the individual who donate might 458 00:28:54,800 --> 00:28:57,760 Speaker 1: be like, no, just pandas. Well. That was actually brought 459 00:28:57,880 --> 00:29:00,719 Speaker 1: up in the in this larger article that survey of 460 00:29:00,760 --> 00:29:03,920 Speaker 1: like the seventy other articles about charismatic megafauna, and they 461 00:29:03,920 --> 00:29:07,200 Speaker 1: said that that could be an issue. Some donors want 462 00:29:07,240 --> 00:29:09,840 Speaker 1: to know that their money is going towards what they 463 00:29:09,920 --> 00:29:13,040 Speaker 1: donated it. And if you think you donated it to 464 00:29:13,080 --> 00:29:15,920 Speaker 1: save pandas, and these guys are being like, yeah, yeah, 465 00:29:15,960 --> 00:29:19,280 Speaker 1: we're helping pandas, but we're also helping these snakes. But 466 00:29:19,400 --> 00:29:23,120 Speaker 1: you hate snakes. You might be unhappy that your money's 467 00:29:23,160 --> 00:29:26,360 Speaker 1: helping snakes, you though the snakes really need the help. Yeah. 468 00:29:26,400 --> 00:29:28,440 Speaker 1: One thing I have noticed with donation sites is a 469 00:29:28,480 --> 00:29:30,160 Speaker 1: lot of times they'll have that and then let's say, 470 00:29:30,280 --> 00:29:32,200 Speaker 1: would you also like to donate five dollars to the 471 00:29:32,240 --> 00:29:36,840 Speaker 1: general fund um stuff, you know, so you can help 472 00:29:36,840 --> 00:29:39,960 Speaker 1: the snake. Yeah, And there's not one that says the 473 00:29:40,000 --> 00:29:43,360 Speaker 1: general fund and no, but no, snakes right now, there's 474 00:29:43,400 --> 00:29:46,520 Speaker 1: not an option you're doing. You're donating the snakes with 475 00:29:46,560 --> 00:29:49,400 Speaker 1: the general fund. You know, there's also the issue of 476 00:29:49,440 --> 00:29:54,840 Speaker 1: it being a totally unscientific idea. It's completely subjective. Like 477 00:29:54,920 --> 00:29:57,560 Speaker 1: even here in the West, people are like, well, lions 478 00:29:57,560 --> 00:30:01,120 Speaker 1: are beautiful and majestic, but if you talk to um 479 00:30:01,240 --> 00:30:04,920 Speaker 1: school kids in Tanzania, they'll say, actually, lions are quite 480 00:30:04,960 --> 00:30:08,680 Speaker 1: fearsome because we live near them, and um, I have 481 00:30:08,960 --> 00:30:12,120 Speaker 1: a friend whose uncle was killed by a lion. Right, 482 00:30:12,600 --> 00:30:16,840 Speaker 1: so you can't even agree on what what um what 483 00:30:17,760 --> 00:30:21,560 Speaker 1: animals have charisma? Even even you know, it seems like 484 00:30:22,120 --> 00:30:26,000 Speaker 1: a foregone conclusion to us, the people who are carrying 485 00:30:26,040 --> 00:30:29,200 Speaker 1: out these conservation efforts and who are donating the conservation 486 00:30:29,240 --> 00:30:32,640 Speaker 1: dollars aren't the ones who have to actually live with 487 00:30:32,960 --> 00:30:36,719 Speaker 1: these animals as well. Right, So, if you're an organization 488 00:30:36,760 --> 00:30:39,640 Speaker 1: who's getting conservation dollars from these people to save these 489 00:30:39,680 --> 00:30:43,360 Speaker 1: animals that the locals actually hate, you're gonna have a 490 00:30:43,360 --> 00:30:46,880 Speaker 1: problem here. So what are some of the solutions to 491 00:30:46,960 --> 00:30:51,240 Speaker 1: these to to what what can you do as a 492 00:30:51,320 --> 00:30:56,520 Speaker 1: conservationist if you're facing this this issue where you need 493 00:30:56,640 --> 00:30:59,600 Speaker 1: money but you also need to be realistic at the 494 00:30:59,640 --> 00:31:03,560 Speaker 1: feeling you have an answer and wait. Well, one of 495 00:31:03,600 --> 00:31:07,000 Speaker 1: the one of the great suggestions that I've run across 496 00:31:07,120 --> 00:31:11,479 Speaker 1: is um you can talk about these species that people like, 497 00:31:12,120 --> 00:31:16,040 Speaker 1: but just talk about them in in realistic terms and 498 00:31:16,080 --> 00:31:18,479 Speaker 1: don't say how cute they are and all that stuff. Yeah, 499 00:31:18,600 --> 00:31:20,880 Speaker 1: or don't make it sound like they're the most important 500 00:31:20,920 --> 00:31:23,440 Speaker 1: animal on the planet, right, like put it in its 501 00:31:23,480 --> 00:31:27,960 Speaker 1: relative context, right. Or this one is even better. Take 502 00:31:28,000 --> 00:31:31,720 Speaker 1: an actual keystone species from an ecosystem that's in real 503 00:31:31,840 --> 00:31:35,720 Speaker 1: danger of becoming instinct, and then put your marketing people 504 00:31:35,840 --> 00:31:40,760 Speaker 1: to work on creating charisma for that animal, because you 505 00:31:40,800 --> 00:31:43,400 Speaker 1: know what, they could do that in most cases, unless 506 00:31:43,400 --> 00:31:47,400 Speaker 1: it's a komodo dragon. No, it's actually a really great 507 00:31:47,440 --> 00:31:51,240 Speaker 1: example of of them doing that. Well. I was about 508 00:31:51,400 --> 00:31:53,880 Speaker 1: the reason I mentioned that because I was that was 509 00:31:53,920 --> 00:31:56,040 Speaker 1: one of my favorite animals at the Atlanta Zoo. Was. 510 00:31:56,080 --> 00:31:58,720 Speaker 1: I could sit around and watch that komodo dragon for days. Yeah, 511 00:31:58,800 --> 00:32:01,440 Speaker 1: he was so cool looking, but a lot of people 512 00:32:01,480 --> 00:32:05,000 Speaker 1: might not think so. So Like Charon Stone, apparently there 513 00:32:05,080 --> 00:32:08,560 Speaker 1: was a huge what Jaron Stone's ex husband was bitten 514 00:32:08,560 --> 00:32:12,080 Speaker 1: by a komodo dragon very famously? Was he hurt? Ye 515 00:32:12,400 --> 00:32:15,320 Speaker 1: did he die, No, that's not why he's an ex. 516 00:32:15,480 --> 00:32:17,719 Speaker 1: Did he lose a toe? Well, I should say he's 517 00:32:17,760 --> 00:32:19,800 Speaker 1: an ex because he got bitten by the komodo dragon, 518 00:32:19,880 --> 00:32:21,760 Speaker 1: but just because she was embarrassed by it, so she 519 00:32:21,840 --> 00:32:25,960 Speaker 1: divorced him. No, okay, she's like, oh my god, I 520 00:32:25,960 --> 00:32:28,480 Speaker 1: can't even go out in public now see you later. 521 00:32:28,640 --> 00:32:31,840 Speaker 1: You've mortified me. Yeah. I figured you would have known 522 00:32:31,880 --> 00:32:34,240 Speaker 1: about that. It was a very not funny for him, 523 00:32:34,960 --> 00:32:39,160 Speaker 1: funny for everybody everyone else. No, but apparently there was 524 00:32:39,200 --> 00:32:42,840 Speaker 1: a big local push to save komodo dragons. They were 525 00:32:42,840 --> 00:32:46,360 Speaker 1: not well liked, but they put some top marketing people 526 00:32:46,400 --> 00:32:49,120 Speaker 1: on it and gave the komodo dragon chrisma, like just 527 00:32:49,160 --> 00:32:52,360 Speaker 1: pointing to a panda bear and being like pretty cute. Huh. 528 00:32:52,520 --> 00:32:55,880 Speaker 1: That doesn't take any marketing skill. It takes real marketing 529 00:32:55,880 --> 00:32:59,960 Speaker 1: skill to take a hated and reviled animal that needs 530 00:33:00,320 --> 00:33:04,200 Speaker 1: human help and make it charming. You know who could 531 00:33:04,240 --> 00:33:09,720 Speaker 1: solve all of this, God Disney. Oh yeah, you know. 532 00:33:10,640 --> 00:33:12,640 Speaker 1: All you gotta do is make a movie about a 533 00:33:12,680 --> 00:33:16,120 Speaker 1: Komodo dragon is the hero. Sure, and and literally that 534 00:33:16,120 --> 00:33:21,200 Speaker 1: would change everything. Somebody needs to throw out Walt Disney. Yeah, 535 00:33:21,480 --> 00:33:24,080 Speaker 1: he's still frozen. I don't know if that's true or 536 00:33:24,120 --> 00:33:26,400 Speaker 1: an urban legend or not. We should get Holly from 537 00:33:26,400 --> 00:33:28,200 Speaker 1: my stuff you miss in history class in here. Well, 538 00:33:28,240 --> 00:33:30,680 Speaker 1: we did an episode on criegenics, and I'm sure we 539 00:33:30,800 --> 00:33:33,000 Speaker 1: covered it, but that was a long time ago. Holly, 540 00:33:33,040 --> 00:33:34,840 Speaker 1: for all I know, might have Walt Disney frozen in 541 00:33:34,880 --> 00:33:40,280 Speaker 1: her house. She might you know, being held captive. Uh 542 00:33:40,320 --> 00:33:42,640 Speaker 1: So should we talk a little bit about bio diversity. 543 00:33:43,040 --> 00:33:45,120 Speaker 1: I think we should and why that's important because that's 544 00:33:45,160 --> 00:33:47,360 Speaker 1: kind of what we're talking about here in a roundabout ways. 545 00:33:48,000 --> 00:33:52,920 Speaker 1: A healthy ecosystem depends on biodiversity. And that doesn't just 546 00:33:53,120 --> 00:33:57,720 Speaker 1: mean what's known as species diversity or species richness, which is, 547 00:33:58,400 --> 00:34:00,480 Speaker 1: you know, a lot of different animals. That's what most 548 00:34:00,480 --> 00:34:02,640 Speaker 1: people think of when they think of biodiversity. It's a 549 00:34:02,680 --> 00:34:05,480 Speaker 1: lot more complex than that. Yeah, So there's, um, there's 550 00:34:05,560 --> 00:34:08,560 Speaker 1: species diversity, like you said, there's also a genetic diversity, 551 00:34:09,600 --> 00:34:13,520 Speaker 1: which is the combined number of genes that's available to 552 00:34:13,960 --> 00:34:18,880 Speaker 1: uh species worldwide. And the more genetic diversity of species 553 00:34:18,920 --> 00:34:23,480 Speaker 1: have them, the easier it can withstand um things like disease. 554 00:34:24,239 --> 00:34:28,200 Speaker 1: Uh Yeah, some individuals are gonna die, but overall the 555 00:34:28,320 --> 00:34:31,000 Speaker 1: species should be able to survive it because there's probably 556 00:34:31,040 --> 00:34:33,960 Speaker 1: a gene in there somewhere that can combat this disease 557 00:34:34,000 --> 00:34:36,759 Speaker 1: or is immune to this disease, and they'll develop an 558 00:34:36,760 --> 00:34:39,760 Speaker 1: immunity to it. The species will go on. So species 559 00:34:39,800 --> 00:34:43,040 Speaker 1: diversity is a very important type of biodiversity too. Yeah, 560 00:34:43,080 --> 00:34:47,120 Speaker 1: like bald eagle again, genetic diversity. Sorry, yeah, yeah, bald 561 00:34:47,120 --> 00:34:50,759 Speaker 1: eagle good example because they are spread out all over, Uh, 562 00:34:50,840 --> 00:34:53,000 Speaker 1: well not all over, but in those certain places in 563 00:34:53,000 --> 00:34:56,680 Speaker 1: North America give them good genetic diversity. Uh, Thus they 564 00:34:56,680 --> 00:35:01,000 Speaker 1: were able to come back. The cheetah um not so much. 565 00:35:01,080 --> 00:35:03,160 Speaker 1: Back in the day, there was only one species, I 566 00:35:03,200 --> 00:35:06,080 Speaker 1: think around ten thousand years ago. Yeah, I didn't see 567 00:35:06,080 --> 00:35:08,440 Speaker 1: what happened to the species or the cheated Did you 568 00:35:08,480 --> 00:35:10,759 Speaker 1: what all the other species? Yeah, I don't know. That's 569 00:35:10,760 --> 00:35:20,680 Speaker 1: pretty bizarre. Just one survived, Yeah, the uh sen Nick's jubats. 570 00:35:20,920 --> 00:35:25,080 Speaker 1: I think that's right. In Africa and um, that was 571 00:35:25,120 --> 00:35:27,440 Speaker 1: a problem because when you just have one species, you're 572 00:35:27,480 --> 00:35:30,480 Speaker 1: in breeding a lot and your genetic diversity goes way 573 00:35:30,520 --> 00:35:33,120 Speaker 1: down and all of a sudden, you uh, one thing 574 00:35:33,160 --> 00:35:35,399 Speaker 1: could come along and wipe you out. Exactly when one 575 00:35:35,480 --> 00:35:39,800 Speaker 1: disease or something um And then there's also ecosystem diversity, 576 00:35:39,840 --> 00:35:43,000 Speaker 1: which is the number of different types of ecosystems around 577 00:35:43,040 --> 00:35:45,439 Speaker 1: the world, and the more you have those, the better 578 00:35:45,480 --> 00:35:48,400 Speaker 1: off you are. It's kind of like bio diversity is 579 00:35:48,440 --> 00:35:50,400 Speaker 1: a really good example of not having all of your 580 00:35:50,400 --> 00:35:53,879 Speaker 1: eggs in one basket. Yeah, you want to diversify. It's 581 00:35:53,920 --> 00:35:57,680 Speaker 1: the same thing with stocks and bonds, that's right, you know. Uh, 582 00:35:57,680 --> 00:35:59,920 Speaker 1: And as humans, bio diversity is a big deal because 583 00:36:01,239 --> 00:36:06,040 Speaker 1: of medicine that we use that comes from plants. Let's say, uh, 584 00:36:07,400 --> 00:36:11,160 Speaker 1: what else, clothes that we wear from plants, and animal fibers, 585 00:36:11,880 --> 00:36:14,879 Speaker 1: what we eat. That's another big one too. Can't forget that. Yeah, 586 00:36:14,920 --> 00:36:16,919 Speaker 1: And the point is it's all linked, like you talked 587 00:36:16,920 --> 00:36:21,000 Speaker 1: about earlier. The wolf population will have a or the 588 00:36:21,000 --> 00:36:24,200 Speaker 1: honeybee population will have an effect on down the line 589 00:36:24,520 --> 00:36:27,640 Speaker 1: because it's all one big linked puzzle, and something like 590 00:36:27,719 --> 00:36:31,200 Speaker 1: colony collapse disorder can foul it up to the point 591 00:36:31,200 --> 00:36:34,560 Speaker 1: where just because the honeybee are the crop production as 592 00:36:34,560 --> 00:36:38,279 Speaker 1: a whole in the United States is in trouble right right, 593 00:36:38,360 --> 00:36:41,680 Speaker 1: So there's and it seems kind of remedial that to 594 00:36:41,800 --> 00:36:44,120 Speaker 1: go over it, but it's important to point out, like, 595 00:36:44,160 --> 00:36:47,319 Speaker 1: what's at stake here when you're talking about extinction? Right, 596 00:36:47,400 --> 00:36:50,279 Speaker 1: It's not like, oh, we don't have honey anymore, right now, 597 00:36:50,320 --> 00:36:54,439 Speaker 1: there's the entire ecosystems can fail, And when entire ecosystems fail, 598 00:36:54,480 --> 00:36:56,719 Speaker 1: the world gets a little less bio diverse. And when 599 00:36:56,719 --> 00:36:59,440 Speaker 1: that happens, it's a little more fragile, and it just 600 00:36:59,520 --> 00:37:02,240 Speaker 1: keeps getting set up more and more and more for 601 00:37:02,360 --> 00:37:05,520 Speaker 1: some sort of larger collapse that's more than just say 602 00:37:05,560 --> 00:37:10,600 Speaker 1: a honeybee collapse. UM and apparently the big one, the 603 00:37:10,640 --> 00:37:15,799 Speaker 1: big daddy as far as UM as reduction of biodiversity goes, Well, 604 00:37:15,800 --> 00:37:19,719 Speaker 1: there's two of them. One is invasive species. Yeah, I 605 00:37:19,719 --> 00:37:22,680 Speaker 1: didn't know we should do a show on We're gonna 606 00:37:22,680 --> 00:37:24,719 Speaker 1: do one on cuts at one point. I don't know 607 00:37:24,800 --> 00:37:27,400 Speaker 1: if that's two separate shows or not. I don't know, 608 00:37:27,480 --> 00:37:30,400 Speaker 1: but I did and realized that invasive species caused that 609 00:37:30,480 --> 00:37:33,919 Speaker 1: much damage. Yeah, there's something like um half of all 610 00:37:33,960 --> 00:37:38,799 Speaker 1: of the extinction special extinctions since the sixteen hundreds they 611 00:37:38,840 --> 00:37:42,279 Speaker 1: attribute to invasive species, where it's just you know, you've 612 00:37:42,320 --> 00:37:46,759 Speaker 1: got a species that's introduced into a new um ecosystem, 613 00:37:46,920 --> 00:37:50,399 Speaker 1: doesn't have any predators, so it it preys on other 614 00:37:50,480 --> 00:37:54,560 Speaker 1: things and reproduces unchecked and just totally throws off the ecosystem. Right. 615 00:37:55,040 --> 00:37:59,959 Speaker 1: Half of extinction comes from invasive species, and then another third, 616 00:38:00,080 --> 00:38:03,480 Speaker 1: six percent apparently comes from deforestation, right yeah, I mean 617 00:38:03,480 --> 00:38:06,279 Speaker 1: the other two big ones are over hunting, um, like 618 00:38:06,320 --> 00:38:10,160 Speaker 1: we were talking about with like the rhino and elephants 619 00:38:10,200 --> 00:38:13,840 Speaker 1: and stuff like that, and back in our pigeons episode 620 00:38:14,800 --> 00:38:17,680 Speaker 1: literally calls the extinction of the passenger pigeon. Uh. And 621 00:38:17,719 --> 00:38:21,080 Speaker 1: then climate changes the fourth which um, sort of just 622 00:38:21,080 --> 00:38:23,520 Speaker 1: getting started on that one. So I would that's an 623 00:38:23,520 --> 00:38:27,279 Speaker 1: increasingly becoming a problem with animals force from their habitats. 624 00:38:27,760 --> 00:38:31,279 Speaker 1: But deforestation is the big daddy. Yeah, and apparently one 625 00:38:31,320 --> 00:38:34,120 Speaker 1: of the big issues with deforestation, although there has been 626 00:38:34,160 --> 00:38:38,480 Speaker 1: a lot of headway made with slowing deforestation. Um. But 627 00:38:38,560 --> 00:38:43,000 Speaker 1: the rainforest is particularly vulnerable because it covers about seven 628 00:38:43,040 --> 00:38:47,680 Speaker 1: percent of Earth's land mass, but it houses about half 629 00:38:47,680 --> 00:38:51,240 Speaker 1: of Earth's species. That's crazy, right, So there's that problem 630 00:38:51,280 --> 00:38:53,600 Speaker 1: with a lot of eggs in one basket. If you 631 00:38:53,680 --> 00:38:57,080 Speaker 1: mess with that basket, you're you're in big trouble. I 632 00:38:57,080 --> 00:39:02,279 Speaker 1: think that's how the saying goes, right. So um, one 633 00:39:02,320 --> 00:39:05,319 Speaker 1: of the problems with deforestation is that if you are 634 00:39:06,080 --> 00:39:10,680 Speaker 1: developing economy and you've got a lot of economic activity 635 00:39:10,800 --> 00:39:13,839 Speaker 1: that can be gained by cutting down the rainforest, it's 636 00:39:13,920 --> 00:39:17,360 Speaker 1: kind of tough de fault that that economy to say, 637 00:39:17,400 --> 00:39:21,560 Speaker 1: what are you doing? You know, we as humanity need that. 638 00:39:21,560 --> 00:39:26,879 Speaker 1: That's nature's pharmacy, right. Um. There's also apparently a lot 639 00:39:26,920 --> 00:39:31,319 Speaker 1: of issue with indigenous peoples in rainforests as well, that 640 00:39:31,440 --> 00:39:33,239 Speaker 1: a lot of them are like, well they're indigenous people, 641 00:39:33,239 --> 00:39:35,920 Speaker 1: they know what they're doing. Well, they're also like deforesting 642 00:39:36,719 --> 00:39:39,440 Speaker 1: the rainforest themselves as well. So there's a lot of 643 00:39:39,480 --> 00:39:43,840 Speaker 1: programs that have been put into place to reduce deforestation, 644 00:39:44,080 --> 00:39:46,759 Speaker 1: and like I said, they're having an effect. Apparently, within 645 00:39:46,800 --> 00:39:51,239 Speaker 1: the last couple of years, deforestation has fallen like year 646 00:39:51,320 --> 00:39:54,759 Speaker 1: over year in Brazil, which is where a lot of 647 00:39:54,760 --> 00:39:59,160 Speaker 1: it was happening. So the idea of deforestation not happening 648 00:39:59,280 --> 00:40:03,319 Speaker 1: in UM Brazil are happening less. That's a big deal. Yeah, 649 00:40:03,360 --> 00:40:07,360 Speaker 1: And they have found a direct correlation between um the 650 00:40:07,760 --> 00:40:14,879 Speaker 1: local economy being less reliant on the rainforest and having 651 00:40:14,880 --> 00:40:17,400 Speaker 1: like a healthy economy doesn't that doesn't depend on the 652 00:40:17,480 --> 00:40:22,279 Speaker 1: rainforest and deforestation decreasing, so it's you know, it's not 653 00:40:22,400 --> 00:40:26,120 Speaker 1: rocket science, and thanks to Don Henley it's all getting 654 00:40:26,160 --> 00:40:30,560 Speaker 1: better and Al Gore and Tom Petty. All Don Henley 655 00:40:30,600 --> 00:40:33,520 Speaker 1: does is helped the rainforest and be a jerk and 656 00:40:33,560 --> 00:40:37,480 Speaker 1: sue people. Who does he sue dude? Done. Henley sues everybody, 657 00:40:37,600 --> 00:40:42,160 Speaker 1: sue everybody, shoes, sue. He sues Sharon Stone's husband. I 658 00:40:42,200 --> 00:40:44,680 Speaker 1: think so now he's sort of a notorious jerk as 659 00:40:44,680 --> 00:40:49,040 Speaker 1: far as like, oh you you know you used this 660 00:40:49,120 --> 00:40:52,080 Speaker 1: Eagle song when you weren't supposed to and taking you 661 00:40:52,120 --> 00:40:54,480 Speaker 1: to court and then I'll cut you. Man. He like 662 00:40:54,600 --> 00:40:57,320 Speaker 1: one of my favorite bands, and then I'll cut you. 663 00:40:57,880 --> 00:41:01,880 Speaker 1: That's not a peaceful, easy feeling at all. Um Okerville 664 00:41:01,920 --> 00:41:05,480 Speaker 1: River one of my favorite bands. They kind of reworked 665 00:41:05,520 --> 00:41:09,200 Speaker 1: a Don Henley song as a homage and a tribute 666 00:41:09,360 --> 00:41:11,719 Speaker 1: and it didn't even like I think they just put 667 00:41:11,719 --> 00:41:13,160 Speaker 1: it on the web. They weren't like trying to make 668 00:41:13,239 --> 00:41:16,120 Speaker 1: money off of it, and they're like, man, we love 669 00:41:16,160 --> 00:41:17,680 Speaker 1: this song. We kind of reworked it and like here 670 00:41:17,719 --> 00:41:20,319 Speaker 1: it is. And he was like, shut it down, get 671 00:41:20,320 --> 00:41:23,799 Speaker 1: it off the internet. I'm suing you, little indie band. Yeah, 672 00:41:23,880 --> 00:41:27,680 Speaker 1: And then will Chef there, uh, their lead singer and songwriter. 673 00:41:28,239 --> 00:41:32,120 Speaker 1: He was just sort of like, man, really thanks a lot. Yeah, 674 00:41:32,160 --> 00:41:35,959 Speaker 1: I'm gonna have my Eagles tattooed. Grade it off, no more, 675 00:41:38,160 --> 00:41:40,839 Speaker 1: no more homages to you, sir. It was the end 676 00:41:40,840 --> 00:41:46,040 Speaker 1: of will Chef's innocence about Don Henley. Uh, I'm gonna 677 00:41:46,040 --> 00:41:49,200 Speaker 1: see Joe Walsh to More Night and Tom Petty he's 678 00:41:49,200 --> 00:41:53,000 Speaker 1: opening up, wow, which I'm pretty excited about. Usually openers 679 00:41:53,000 --> 00:41:55,680 Speaker 1: at those big shows or I don't know, they don't 680 00:41:55,680 --> 00:42:00,120 Speaker 1: do a good job pairing them sometimes. Yeah. Like I 681 00:42:00,200 --> 00:42:02,120 Speaker 1: saw Elton John once and he had these two cello 682 00:42:02,200 --> 00:42:07,680 Speaker 1: players yo yo maa yeah, and his and his brother. No. 683 00:42:08,040 --> 00:42:09,439 Speaker 1: It was I mean it was kind of neat. That's 684 00:42:09,480 --> 00:42:12,240 Speaker 1: the only cello player and they were I can't remember 685 00:42:12,239 --> 00:42:14,040 Speaker 1: their names, and I'm sure there are tons of people 686 00:42:14,080 --> 00:42:17,040 Speaker 1: that are fans of these guys because they play like 687 00:42:17,040 --> 00:42:18,759 Speaker 1: like A C. D C songs on the cello and 688 00:42:18,800 --> 00:42:20,560 Speaker 1: it's really sort of yah. I mean it was cool, 689 00:42:21,280 --> 00:42:23,960 Speaker 1: but I don't know, like I just wanted to. I 690 00:42:24,040 --> 00:42:26,359 Speaker 1: want to see Joe Walsh open up for everybody, so 691 00:42:26,560 --> 00:42:29,200 Speaker 1: um you me and I went and saw Cindy lawper 692 00:42:29,280 --> 00:42:33,000 Speaker 1: a couple of years ago, and Dr John opened for Yeah, 693 00:42:33,040 --> 00:42:35,320 Speaker 1: that's not a good pairing. It well, so it was 694 00:42:35,360 --> 00:42:39,880 Speaker 1: an amazing show, both of them were, but um, it 695 00:42:39,920 --> 00:42:42,760 Speaker 1: was like the Doctor John show happened, and then everyone left, 696 00:42:43,280 --> 00:42:46,120 Speaker 1: everyone came in for Cindy Lauper. It was a very 697 00:42:46,160 --> 00:42:49,160 Speaker 1: weird pairing. I think Cindy Lauper's is like a Doctor 698 00:42:49,239 --> 00:42:51,040 Speaker 1: John fan and wanted to make sure he got some 699 00:42:51,080 --> 00:42:53,600 Speaker 1: money that year or something right. But it was like 700 00:42:53,800 --> 00:42:56,680 Speaker 1: two different shows, like an early show in a late 701 00:42:56,719 --> 00:42:59,360 Speaker 1: show as far as the audience was concerned. Yeah, I 702 00:42:59,400 --> 00:43:01,480 Speaker 1: saw Josh Grobin open up for Iron Maid, and I 703 00:43:01,480 --> 00:43:04,040 Speaker 1: thought that was strange too. Well, Bruce Dickinson is a 704 00:43:04,040 --> 00:43:09,319 Speaker 1: well known operatic singer. Oh that's true, so I can Yeah, 705 00:43:09,600 --> 00:43:14,360 Speaker 1: tattooed millionaire pilot man. Not what a great ending? Or 706 00:43:14,400 --> 00:43:17,400 Speaker 1: are we done? Did you have anything else? Nope? All right. 707 00:43:17,560 --> 00:43:20,320 Speaker 1: If you want to know more about Iron Maiden bio diversity, 708 00:43:20,440 --> 00:43:24,000 Speaker 1: Josh Groban, yo yo, ma, all that jazz, type those 709 00:43:24,040 --> 00:43:26,080 Speaker 1: words in the search bar at how stuff works dot 710 00:43:26,160 --> 00:43:29,680 Speaker 1: com and press your luck. Since I said press your luck, 711 00:43:29,719 --> 00:43:34,319 Speaker 1: it's time for listener mail All that Jazz, and then 712 00:43:34,360 --> 00:43:38,759 Speaker 1: of which was jazz. Alright, Um, I wonder where that 713 00:43:38,880 --> 00:43:42,240 Speaker 1: term came from. Just I think it's from the Great 714 00:43:42,280 --> 00:43:46,480 Speaker 1: White Way, right. I mean there was a show called 715 00:43:46,480 --> 00:43:50,440 Speaker 1: All That Jazz, But I invent that, I think, So okay, 716 00:43:50,800 --> 00:43:53,040 Speaker 1: that's all it. This is from I'm gonna call this 717 00:43:53,080 --> 00:43:57,480 Speaker 1: from our old buddy, Sarah Law. Who's our oldest. Um. 718 00:43:57,560 --> 00:44:01,040 Speaker 1: I always say oldest like she's night long the longest lasting, 719 00:44:01,160 --> 00:44:07,000 Speaker 1: longest running band. Yeah, long standing listeners from Canada. Hey, guys, Josh, 720 00:44:07,160 --> 00:44:12,000 Speaker 1: Chuck and Jerry. Can you still not spell Jerry? Right, 721 00:44:12,040 --> 00:44:15,000 Speaker 1: Sarah after all these years, I just spell it Gary 722 00:44:15,120 --> 00:44:19,959 Speaker 1: with a G Gary j E r I everybody, Um, 723 00:44:20,000 --> 00:44:21,680 Speaker 1: I know you guys love animals, so I thought it'd 724 00:44:21,680 --> 00:44:24,640 Speaker 1: be great if you could share this, uh stuff you shnow. 725 00:44:24,719 --> 00:44:27,520 Speaker 1: Army story friend needed to give up his cat for 726 00:44:27,560 --> 00:44:30,439 Speaker 1: adoption because he's moving out of the United States due 727 00:44:30,440 --> 00:44:33,080 Speaker 1: to health issues of the cat. Shelters would not take her. 728 00:44:33,640 --> 00:44:35,600 Speaker 1: He was going to have to put her down, which 729 00:44:36,200 --> 00:44:39,160 Speaker 1: I can't believe that's the solution, Like I gotta move, 730 00:44:39,200 --> 00:44:42,640 Speaker 1: I'll just put you down. That aside. Um, I put 731 00:44:42,640 --> 00:44:45,439 Speaker 1: out a ninth hour call. I think it's eleventh hour 732 00:44:45,480 --> 00:44:48,279 Speaker 1: in the United States. Apparently in candidates a night hour. 733 00:44:49,360 --> 00:44:51,920 Speaker 1: Uh put out a night hour call to this stuffy 734 00:44:51,960 --> 00:44:56,080 Speaker 1: snow army and a nice person named Kevin Lyman asked 735 00:44:56,120 --> 00:44:59,120 Speaker 1: everyone he knew if they could take her. And I'm 736 00:44:59,120 --> 00:45:02,440 Speaker 1: happy to say that Evan's coworker cat. But the k 737 00:45:03,600 --> 00:45:06,200 Speaker 1: picked Ava up and Ava as a cat from the 738 00:45:06,280 --> 00:45:09,359 Speaker 1: vet appointment to save her life and then took her 739 00:45:09,400 --> 00:45:12,560 Speaker 1: to be put down. No, I saw a picture. This 740 00:45:12,560 --> 00:45:16,319 Speaker 1: cat was adorable. Uh, never underestimate the power of the stuff. 741 00:45:16,320 --> 00:45:18,600 Speaker 1: You should know, Army and I think she shared this 742 00:45:18,640 --> 00:45:21,000 Speaker 1: on Facebook and it, you know, it kind of happened that. Yeah, 743 00:45:21,040 --> 00:45:24,080 Speaker 1: that's great. I love the show. Thank you for enriching 744 00:45:24,080 --> 00:45:26,920 Speaker 1: our lives in so many ways. Your Canadian friend Sarah 745 00:45:26,920 --> 00:45:29,880 Speaker 1: O x O thinks a lot. Sarah though was a 746 00:45:29,920 --> 00:45:32,759 Speaker 1: great story. Yeah, it was appropriate for this. I told 747 00:45:32,760 --> 00:45:34,640 Speaker 1: Sarah that, oh yeah, do you think about that? Cats 748 00:45:34,640 --> 00:45:39,759 Speaker 1: are charismatic mini fauna. I told Sarah, we uh, an 749 00:45:39,760 --> 00:45:42,640 Speaker 1: all likelihood are going to be coming up to the 750 00:45:42,640 --> 00:45:45,400 Speaker 1: Great White Way, and I hope that's what it is 751 00:45:46,080 --> 00:45:48,200 Speaker 1: for some shows this year. We're gonna be hit in Canada. 752 00:45:48,200 --> 00:45:51,640 Speaker 1: I think so at least one. Yeah, we've been teasing 753 00:45:51,719 --> 00:45:54,359 Speaker 1: these shows, but we're kind of nailing it all down. 754 00:45:55,080 --> 00:45:57,319 Speaker 1: So listen up, all eight of you who still listen 755 00:45:57,360 --> 00:45:59,480 Speaker 1: this deep into the show. We might be coming to 756 00:45:59,560 --> 00:46:02,840 Speaker 1: a town near you. Yeah, and let everybody else know. Uh. 757 00:46:02,920 --> 00:46:04,279 Speaker 1: If you want to get in touch with this, you 758 00:46:04,280 --> 00:46:06,440 Speaker 1: can tweet to us at s Y s K podcast. 759 00:46:06,520 --> 00:46:08,920 Speaker 1: You can join us on Facebook dot com slash stuff 760 00:46:08,920 --> 00:46:11,240 Speaker 1: you Should Know. You can send us email to stuff 761 00:46:11,280 --> 00:46:14,000 Speaker 1: Podcast at how stuff works dot com. Has always joined 762 00:46:14,080 --> 00:46:16,080 Speaker 1: us at our home on the web, Stuff you Should 763 00:46:16,080 --> 00:46:22,640 Speaker 1: Know dot com. For more on this and thousands of 764 00:46:22,680 --> 00:46:35,399 Speaker 1: other topics. Is it how stuff Works dot com