1 00:00:00,160 --> 00:00:02,719 Speaker 1: Guess what. Well, what's that, Mango? So I was looking 2 00:00:02,759 --> 00:00:05,240 Speaker 1: online and I found this description for a job that's 3 00:00:05,400 --> 00:00:09,840 Speaker 1: definitely not for us. Professional cat cutler. Yeah, I'd have 4 00:00:09,880 --> 00:00:11,800 Speaker 1: to agree with that. And first of all, why is 5 00:00:11,840 --> 00:00:15,120 Speaker 1: that a job? So? I have no idea. And this 6 00:00:15,200 --> 00:00:18,040 Speaker 1: posting is from late January this year and it was 7 00:00:18,079 --> 00:00:21,160 Speaker 1: put up by a cat's only veterinary clinic in Ireland. 8 00:00:21,200 --> 00:00:23,320 Speaker 1: But here's a list of some of the questions you'd 9 00:00:23,360 --> 00:00:25,040 Speaker 1: have to answer to see if this job is right 10 00:00:25,079 --> 00:00:27,760 Speaker 1: for you, and these are all real. Are you a 11 00:00:27,800 --> 00:00:31,440 Speaker 1: crazy cat person and love cats already? I'm thinking that's 12 00:00:31,440 --> 00:00:37,239 Speaker 1: all right. Does catitude come to you naturally? So I 13 00:00:37,240 --> 00:00:40,519 Speaker 1: wouldn't say we have high cattitude levels? Have you counted 14 00:00:40,600 --> 00:00:43,480 Speaker 1: kittens before you go to sleep? Do you feed stray 15 00:00:43,520 --> 00:00:46,599 Speaker 1: cats in your locality? Does pett and cats make you 16 00:00:46,640 --> 00:00:49,920 Speaker 1: warm and fuzzy? I mean, I gotta be honest, Mango, 17 00:00:50,000 --> 00:00:52,120 Speaker 1: I can't say that any of those sound like me. 18 00:00:53,440 --> 00:00:55,640 Speaker 1: So I can't think of a job you're less suited for. 19 00:00:56,000 --> 00:00:59,279 Speaker 1: And the job basically involves calming down skittish cats and 20 00:00:59,400 --> 00:01:02,160 Speaker 1: Mr me doggying them into a zen like space so 21 00:01:02,280 --> 00:01:04,800 Speaker 1: the vets can see them. But one of the biggest 22 00:01:04,840 --> 00:01:07,200 Speaker 1: criticisms of our show has been that we're not kind 23 00:01:07,360 --> 00:01:10,120 Speaker 1: enough to cats on the program. You are, of course 24 00:01:10,120 --> 00:01:12,640 Speaker 1: scared of them, and I have let's call it a 25 00:01:12,840 --> 00:01:15,360 Speaker 1: healthy respect for them. So I thought it was time 26 00:01:15,400 --> 00:01:19,520 Speaker 1: for a cat intervention, or a cattervention. We're gonna increase 27 00:01:19,520 --> 00:01:21,560 Speaker 1: our empathy of cats and try to understand them a 28 00:01:21,600 --> 00:01:24,760 Speaker 1: little better and maybe even call out some of their achievements, 29 00:01:24,800 --> 00:01:26,880 Speaker 1: and perhaps by the end of this all you and 30 00:01:26,920 --> 00:01:29,400 Speaker 1: I will be begging for that cat cuddling job. Well 31 00:01:29,400 --> 00:01:31,600 Speaker 1: I'm not sure I see that happening, but let's dive in. 32 00:01:53,720 --> 00:01:56,320 Speaker 1: Heay their podcast listeners, Welcome to Part Time Genius. I'm 33 00:01:56,320 --> 00:01:58,560 Speaker 1: Will Pearson and as always I'm joined by my good 34 00:01:58,560 --> 00:02:01,840 Speaker 1: friend Man Guesho Ticketer and sitting behind that soundproof glass 35 00:02:01,880 --> 00:02:05,480 Speaker 1: surrounded by cat themed music albums, and there are far 36 00:02:05,560 --> 00:02:07,520 Speaker 1: more of these than I expected from him. But he's 37 00:02:07,560 --> 00:02:13,160 Speaker 1: got cat power. Cat Stevens, I think Latigre Acoustic Kitty 38 00:02:13,240 --> 00:02:15,160 Speaker 1: and I didn't see the album cover for this, but 39 00:02:15,360 --> 00:02:18,360 Speaker 1: I swear is that Garfields smooth Jazz I hear playing 40 00:02:18,360 --> 00:02:21,200 Speaker 1: in the background. It is so Tristan was showing me 41 00:02:21,240 --> 00:02:25,200 Speaker 1: this earlier. It's all Garfield inspired music, but my favorite 42 00:02:25,320 --> 00:02:28,519 Speaker 1: is that is where it's at, you know, because Garfield 43 00:02:28,560 --> 00:02:32,440 Speaker 1: needs a lot, right Thanks for explaining that that guy 44 00:02:32,480 --> 00:02:34,920 Speaker 1: has the best taste and novelty albums, and that of 45 00:02:34,960 --> 00:02:38,440 Speaker 1: course is our friend and producer Tristan McNeil, now Mango. 46 00:02:38,560 --> 00:02:41,880 Speaker 1: As you know, we've gotten some criticism about not being 47 00:02:41,960 --> 00:02:43,600 Speaker 1: cat friendly enough on the show, and I have to 48 00:02:43,639 --> 00:02:46,920 Speaker 1: be honest, it's a little bit surprising how much we've 49 00:02:46,919 --> 00:02:49,519 Speaker 1: heard from listeners about this. Yeah, I mean it was 50 00:02:49,560 --> 00:02:52,720 Speaker 1: really shocking to me too, and I actually love all animals, 51 00:02:52,800 --> 00:02:56,320 Speaker 1: or at least most furry animals. And you know this, 52 00:02:56,400 --> 00:02:58,800 Speaker 1: but maybe some listeners don't. There was a long period 53 00:02:58,800 --> 00:03:00,560 Speaker 1: of my life where I've dreamed had become a vet. 54 00:03:01,000 --> 00:03:03,680 Speaker 1: And also, for the record, we had cats on a 55 00:03:03,720 --> 00:03:06,320 Speaker 1: bunch of covers of Metal Flass. Plus the first story 56 00:03:06,360 --> 00:03:07,960 Speaker 1: I wrote on metal fast dot com was about a 57 00:03:07,960 --> 00:03:10,600 Speaker 1: cat piano, so I had no idea where he came 58 00:03:10,639 --> 00:03:14,440 Speaker 1: across this anti cat's right, you wrote about what was 59 00:03:14,440 --> 00:03:17,360 Speaker 1: it called the cats and Clavier. It was this musical 60 00:03:17,400 --> 00:03:20,040 Speaker 1: instrument that I think it was. It was inmitted to 61 00:03:20,360 --> 00:03:23,239 Speaker 1: cheer up a prince or something. Is that right. Yeah, 62 00:03:23,400 --> 00:03:26,000 Speaker 1: So it was like a piano, but instead of strings, 63 00:03:26,040 --> 00:03:28,320 Speaker 1: you just put kittens in a box behind each key 64 00:03:28,400 --> 00:03:30,919 Speaker 1: and it was supposed to gently prod the kitten to 65 00:03:31,080 --> 00:03:34,040 Speaker 1: yaw in tune. And there was this modern version of 66 00:03:34,040 --> 00:03:35,960 Speaker 1: it that was made with toy cats all tuned to 67 00:03:36,000 --> 00:03:38,960 Speaker 1: different notes with this dude playing over the rainbow on 68 00:03:39,040 --> 00:03:41,000 Speaker 1: them by squeezing them in order. I mean, there's a 69 00:03:41,080 --> 00:03:45,240 Speaker 1: video this on YouTube, but all that mewing isn't exactly music, 70 00:03:45,320 --> 00:03:48,720 Speaker 1: but it's also not not music either. I have definitely 71 00:03:48,760 --> 00:03:51,200 Speaker 1: seen that video a few times and it's pretty great. 72 00:03:51,320 --> 00:03:54,760 Speaker 1: And you know, it is interesting how polarizing cats are. 73 00:03:55,120 --> 00:03:57,840 Speaker 1: And for the record, I should say I don't hate cats. 74 00:03:57,960 --> 00:04:00,680 Speaker 1: I just happened to be terrified of cats. When I 75 00:04:00,720 --> 00:04:04,080 Speaker 1: was growing up. I was across the street from Triplet Boys. 76 00:04:04,440 --> 00:04:07,480 Speaker 1: They had a family cat, and not intentionally but just 77 00:04:07,640 --> 00:04:10,800 Speaker 1: by being Triplet Boys, they tortured this cat, and the 78 00:04:10,920 --> 00:04:14,160 Speaker 1: cat decided to take out all of its anger on 79 00:04:14,320 --> 00:04:17,120 Speaker 1: me for some reason and attacked me every time I 80 00:04:17,160 --> 00:04:19,360 Speaker 1: came over there. So I just wanted to put that 81 00:04:19,400 --> 00:04:21,400 Speaker 1: out there. But it has been really weird as we 82 00:04:21,440 --> 00:04:23,800 Speaker 1: just make these little jokes about cats on the show. 83 00:04:23,880 --> 00:04:26,640 Speaker 1: These I guess we think of them as like throwaway comments, 84 00:04:27,000 --> 00:04:29,560 Speaker 1: and then the angry letters that we hear from people 85 00:04:29,600 --> 00:04:31,280 Speaker 1: about I don't know if I can listen to this 86 00:04:31,320 --> 00:04:34,120 Speaker 1: show because you guys hate cats. But this we, we 87 00:04:34,200 --> 00:04:38,080 Speaker 1: apparently are not alone in this polarizing world of cats. 88 00:04:38,160 --> 00:04:41,000 Speaker 1: I actually found this quote by the American writer Carl 89 00:04:41,080 --> 00:04:43,640 Speaker 1: van Vechten, and he wrote a book called Tiger in 90 00:04:43,720 --> 00:04:46,920 Speaker 1: the House, which is really all about house cats. And 91 00:04:47,040 --> 00:04:50,599 Speaker 1: here's how he talks about people's strong feelings about cats. 92 00:04:50,640 --> 00:04:52,440 Speaker 1: And I actually really like this quote. So he says, 93 00:04:53,040 --> 00:04:55,760 Speaker 1: one is permitted to assume an attitude of placid and 94 00:04:55,800 --> 00:05:00,560 Speaker 1: difference in some matters elephants, cockatoo's h g well Sweden, 95 00:05:00,720 --> 00:05:04,920 Speaker 1: roast beef, puccini, even Mormonism. But in the matter of cats, 96 00:05:04,960 --> 00:05:08,200 Speaker 1: it seems necessary to take a firm stand. The cat 97 00:05:08,320 --> 00:05:13,200 Speaker 1: himself insists upon this. He invariably inspires strong feelings. He 98 00:05:13,320 --> 00:05:17,039 Speaker 1: is indeed the only animal who does well. It is 99 00:05:17,080 --> 00:05:20,080 Speaker 1: true that cats definitely inspire strong feelings. And when we've 100 00:05:20,120 --> 00:05:22,400 Speaker 1: joked on the show about not being cat lovers, people 101 00:05:22,400 --> 00:05:24,720 Speaker 1: have written in and said, uh, you know who also 102 00:05:24,800 --> 00:05:32,159 Speaker 1: hated cats? Hitler and also Napoleon and Mussolini, and I 103 00:05:32,240 --> 00:05:34,520 Speaker 1: looked this up. It's true they were cat hitters. Like 104 00:05:34,680 --> 00:05:37,080 Speaker 1: I mean, I'm sure all three of them also hated 105 00:05:37,120 --> 00:05:40,680 Speaker 1: like broccoli and homework, So it doesn't really mean that 106 00:05:40,800 --> 00:05:43,120 Speaker 1: much like a lot of people, just like a lot 107 00:05:43,160 --> 00:05:45,520 Speaker 1: of things. But I was intrigued by the comments, so 108 00:05:45,720 --> 00:05:48,760 Speaker 1: I looked up other famous cat hitters in history. And 109 00:05:49,320 --> 00:05:51,440 Speaker 1: it's not a good look for us to be perceived 110 00:05:51,440 --> 00:05:54,920 Speaker 1: this way. And so in addition to Napoleon and Mussolini, 111 00:05:55,240 --> 00:06:00,640 Speaker 1: you've got Genghis Khan Stalin also hated cats. Caesar Alexander 112 00:06:00,720 --> 00:06:03,520 Speaker 1: the Great, Eisenhower, for some reason, is on the list, 113 00:06:03,520 --> 00:06:07,200 Speaker 1: but frankly, I'm a little surprised at Polpon and Daman 114 00:06:07,279 --> 00:06:10,120 Speaker 1: aren't on there as well. To round out the limbs, 115 00:06:10,839 --> 00:06:14,360 Speaker 1: a lot of terrible people, I mean, aside aside from Eisenhower, 116 00:06:14,400 --> 00:06:18,400 Speaker 1: who we love for building highways and infrastructure, of infrastructure. 117 00:06:18,480 --> 00:06:21,320 Speaker 1: I love infrastructure. But you know, I think what's worse 118 00:06:21,400 --> 00:06:23,920 Speaker 1: than the list of horrible people is when cat fans 119 00:06:23,960 --> 00:06:26,479 Speaker 1: tell you about all the great people who were obsessed 120 00:06:26,520 --> 00:06:29,760 Speaker 1: with cats. You've got Abe Lincoln, who was notorious for 121 00:06:29,839 --> 00:06:32,040 Speaker 1: his love of cats, and his wife Mary Todd once 122 00:06:32,040 --> 00:06:35,120 Speaker 1: said that cats were his only hobby. Also, they've got 123 00:06:35,120 --> 00:06:39,799 Speaker 1: the prophet Mohammed, Nicola Tesla, St. Francis of ASSISI, Mark Twain, 124 00:06:39,920 --> 00:06:43,599 Speaker 1: Florence Nightingale, Catherine the Great, Charles Mingus, and all of 125 00:06:43,640 --> 00:06:48,160 Speaker 1: the Brontes, all the Brontes, even Brandwell Bronte I checked 126 00:06:48,200 --> 00:06:53,839 Speaker 1: up on this mango. They got Brandwell Well. Obviously, of 127 00:06:53,880 --> 00:06:57,279 Speaker 1: those two sample sets, i'd I'd rather be associated with 128 00:06:57,320 --> 00:07:00,279 Speaker 1: the cat lovers and the cat hitters. But I was 129 00:07:00,360 --> 00:07:02,359 Speaker 1: trying to figure out why it is that dictators and 130 00:07:02,360 --> 00:07:06,160 Speaker 1: world conquerors don't like cats. And here's one theory about 131 00:07:06,160 --> 00:07:08,320 Speaker 1: it that I found that's popular on cat sites, and 132 00:07:08,360 --> 00:07:11,480 Speaker 1: it goes like this quote. It might just be that 133 00:07:11,600 --> 00:07:14,600 Speaker 1: cat people who have dreams of dominating the world can't 134 00:07:14,640 --> 00:07:17,400 Speaker 1: get used to the idea that cats won't submit to them. 135 00:07:17,600 --> 00:07:21,000 Speaker 1: So is the idea that like, cats are just too 136 00:07:21,000 --> 00:07:25,400 Speaker 1: independent minded for dictators or what exactly? And truthfully, that's 137 00:07:25,440 --> 00:07:28,440 Speaker 1: also a big part of what cat people like about cats. 138 00:07:28,480 --> 00:07:32,040 Speaker 1: They're total independence, right, Like people are always saying cats 139 00:07:32,040 --> 00:07:35,120 Speaker 1: have more personality than dogs and that they're less needy 140 00:07:35,360 --> 00:07:38,240 Speaker 1: and they're like a little more badass and rock and 141 00:07:38,320 --> 00:07:41,200 Speaker 1: roll or something. And in fact, this is a little 142 00:07:41,240 --> 00:07:44,240 Speaker 1: off topic, but one of the cat origin stories I read, 143 00:07:44,480 --> 00:07:47,160 Speaker 1: and this is an Islamic tale I believe, is that 144 00:07:47,240 --> 00:07:49,880 Speaker 1: Noah was on his arc and during the storm, he 145 00:07:49,920 --> 00:07:52,400 Speaker 1: became really afraid that the mice on board would eat 146 00:07:52,400 --> 00:07:55,120 Speaker 1: all the food, or even worse, that they'd nibble through 147 00:07:55,120 --> 00:07:57,440 Speaker 1: the floors and create these holes in the arc, kind 148 00:07:57,440 --> 00:07:59,920 Speaker 1: of just like putting all the other animals and jeopardies. 149 00:08:00,040 --> 00:08:03,160 Speaker 1: So he prayed for a solution, and God answered his 150 00:08:03,200 --> 00:08:06,679 Speaker 1: wishes by having a lion sneeze, and out of both 151 00:08:06,760 --> 00:08:10,800 Speaker 1: nostrils from that sneeze emerged two cats, which is I 152 00:08:10,840 --> 00:08:13,080 Speaker 1: guess how cats came to be. And I mean, it's 153 00:08:13,160 --> 00:08:15,720 Speaker 1: kind of a sweet origin story in terms of myths, 154 00:08:15,840 --> 00:08:18,000 Speaker 1: But I feel like you can interpret the story in 155 00:08:18,040 --> 00:08:21,920 Speaker 1: two ways, right, Like cats are either God's gift to humanity, 156 00:08:21,960 --> 00:08:26,080 Speaker 1: like what adorable little God bless you they are, or 157 00:08:26,360 --> 00:08:28,520 Speaker 1: no one needed a ruthless killing machine on the ship 158 00:08:28,600 --> 00:08:32,360 Speaker 1: and God provided cats. I think I'm might lane towards 159 00:08:32,320 --> 00:08:33,880 Speaker 1: the latter of it. I'm gonna be careful. I don't 160 00:08:33,880 --> 00:08:36,200 Speaker 1: need any more hate mail about this, but I have 161 00:08:36,200 --> 00:08:39,240 Speaker 1: a different question here. Mago like, how useless is every 162 00:08:39,280 --> 00:08:41,640 Speaker 1: other animal on the arc, Like why couldn't any of 163 00:08:41,640 --> 00:08:45,840 Speaker 1: the owls on board pitch in for this effort? I know, well, 164 00:08:46,000 --> 00:08:48,880 Speaker 1: I mean, the truth is cats are incredible hunting machines. 165 00:08:48,920 --> 00:08:50,880 Speaker 1: And I read this crazy story in the New York 166 00:08:50,920 --> 00:08:54,040 Speaker 1: Times from five years ago, and that's when the Smithsonian's 167 00:08:54,120 --> 00:08:57,320 Speaker 1: Conservation Biology Institute teamed up with the US Fish and 168 00:08:57,360 --> 00:09:00,080 Speaker 1: Wildlife Service to do some research on cats, and they 169 00:09:00,080 --> 00:09:02,560 Speaker 1: wanted to identify how much wildlife these cats were killing 170 00:09:02,559 --> 00:09:05,440 Speaker 1: every year, so they used cameras and create this new 171 00:09:05,480 --> 00:09:09,080 Speaker 1: math model, and basically they were stunned by the results. 172 00:09:09,200 --> 00:09:12,200 Speaker 1: So listen to this between feral and domestic cats. The 173 00:09:12,240 --> 00:09:14,120 Speaker 1: domestic ones, you know, are the ones that get to 174 00:09:14,200 --> 00:09:17,920 Speaker 1: roam outdoors while sleeping indoors. Together, they kill about two 175 00:09:17,960 --> 00:09:22,320 Speaker 1: point four billion birds every year. And also they killed 176 00:09:22,320 --> 00:09:25,520 Speaker 1: twelve point three billion mammals a year, and most of 177 00:09:25,520 --> 00:09:28,840 Speaker 1: those those things like shrews and chipmunks and bowls, along 178 00:09:28,880 --> 00:09:31,319 Speaker 1: with mice. I kind of want to know how they 179 00:09:31,360 --> 00:09:34,800 Speaker 1: came up with that estimate of twelve point three billion mammals, 180 00:09:34,800 --> 00:09:38,360 Speaker 1: but either way, it's insane and terrifying. So I don't 181 00:09:38,440 --> 00:09:40,880 Speaker 1: understand like, why would this make me like cats? More 182 00:09:41,160 --> 00:09:43,520 Speaker 1: so we've talked about this on the program before, but 183 00:09:44,040 --> 00:09:47,040 Speaker 1: those mousers are also keeping places like Disney parks and 184 00:09:47,120 --> 00:09:50,880 Speaker 1: houses and also city streets more free of vermin. And also, 185 00:09:51,120 --> 00:09:53,360 Speaker 1: I I've read this thing about how they're all these 186 00:09:53,400 --> 00:09:57,160 Speaker 1: cat islands in Japan that are super popular as tourist destinations, 187 00:09:57,200 --> 00:10:00,360 Speaker 1: just places where they're all these feral cats, And initially 188 00:10:00,440 --> 00:10:03,440 Speaker 1: I was thinking, like, who wants to go to these islands? 189 00:10:03,480 --> 00:10:06,040 Speaker 1: But one of the arguments I was reading online that 190 00:10:06,160 --> 00:10:08,640 Speaker 1: I had actually never thought about was most people can 191 00:10:08,679 --> 00:10:11,520 Speaker 1: go to a cat island and not be terrified because 192 00:10:11,559 --> 00:10:14,199 Speaker 1: these small feral cats aren't going to bother you. They 193 00:10:14,240 --> 00:10:16,680 Speaker 1: just don't care about you. But you know, if you 194 00:10:16,720 --> 00:10:18,760 Speaker 1: went to a wild dog island and they were just 195 00:10:18,920 --> 00:10:22,440 Speaker 1: wild packs of you know, feral dogs there, you'd be terrified, 196 00:10:22,600 --> 00:10:25,800 Speaker 1: like you want to call animal control because roaming packs 197 00:10:25,800 --> 00:10:28,720 Speaker 1: of wild dogs aren't fun. But you know, the cats 198 00:10:28,760 --> 00:10:31,480 Speaker 1: don't have that herd mentality. I mean, that's an interesting point. 199 00:10:31,520 --> 00:10:33,480 Speaker 1: But to be fair, if you put the word feral 200 00:10:33,559 --> 00:10:36,160 Speaker 1: in front of any animal, like, I don't want to 201 00:10:36,200 --> 00:10:39,160 Speaker 1: be near those and I have no desire to hang 202 00:10:39,200 --> 00:10:42,319 Speaker 1: out with I don't know, like Australia's feral camel population 203 00:10:42,559 --> 00:10:44,760 Speaker 1: or any of these other animals, but you know, you 204 00:10:44,800 --> 00:10:47,720 Speaker 1: started talking about cat origins and and killer cats, and 205 00:10:47,760 --> 00:10:49,520 Speaker 1: you were talking about how cat lovers tend to love 206 00:10:49,559 --> 00:10:52,240 Speaker 1: the animals independence And actually I had a story that 207 00:10:52,280 --> 00:10:55,040 Speaker 1: I wanted to share just real quick. So while freethinking 208 00:10:55,080 --> 00:10:57,840 Speaker 1: critters might be great for pet owners, they're not great 209 00:10:57,880 --> 00:11:00,280 Speaker 1: for filmmakers. I was reading this interer you with the 210 00:11:00,360 --> 00:11:03,080 Speaker 1: Cohen brothers about filming inside Lewin Davis, and they were 211 00:11:03,080 --> 00:11:05,280 Speaker 1: talking about how hard it was to shoot the cat 212 00:11:05,360 --> 00:11:07,680 Speaker 1: in the movie. So here's a quote from an NPR 213 00:11:07,760 --> 00:11:10,400 Speaker 1: interview that Ethan Cohen did, and he says, the whole 214 00:11:10,440 --> 00:11:13,400 Speaker 1: exercise of shooting a cat is pretty nightmarish because they 215 00:11:13,480 --> 00:11:16,000 Speaker 1: don't care about anything. They don't want to do what 216 00:11:16,120 --> 00:11:18,480 Speaker 1: you want them to do. As the animal trainer said 217 00:11:18,480 --> 00:11:21,080 Speaker 1: to us, a dog wants to please you. A cat 218 00:11:21,160 --> 00:11:25,040 Speaker 1: only wants to please itself. It was just this long, painstaking, 219 00:11:25,240 --> 00:11:28,120 Speaker 1: frustrating day shooting the cat, which to me is a 220 00:11:28,160 --> 00:11:30,280 Speaker 1: little refreshing. You know that cats don't want to be 221 00:11:30,280 --> 00:11:33,840 Speaker 1: seen as film stars, but you know, I've seen Lewin Davison. 222 00:11:34,000 --> 00:11:36,360 Speaker 1: I loved it, But how do they get all those 223 00:11:36,360 --> 00:11:39,559 Speaker 1: shots eventually? Like, I'm guessing they didn't use c g I. Well, 224 00:11:39,600 --> 00:11:41,760 Speaker 1: first of all, they used a lot of cats, and 225 00:11:41,760 --> 00:11:44,920 Speaker 1: a cat trainer told them specifically to use a marmalade 226 00:11:44,960 --> 00:11:47,560 Speaker 1: orange tabby because it's easier to get a lot of 227 00:11:47,559 --> 00:11:49,960 Speaker 1: them on hand. So they had three or four cats 228 00:11:50,000 --> 00:11:53,000 Speaker 1: ready for each scene, and essentially they had to find 229 00:11:53,040 --> 00:11:55,720 Speaker 1: cats that had a predisposition for doing whatever it was 230 00:11:55,760 --> 00:11:58,160 Speaker 1: that they were looking for. So, like, if you needed 231 00:11:58,160 --> 00:12:00,320 Speaker 1: a fidgety cat to jump out of someone's hand ends, 232 00:12:00,600 --> 00:12:02,240 Speaker 1: you have to find a cat that tends to do 233 00:12:02,280 --> 00:12:04,480 Speaker 1: that all the time and hates to be held. So 234 00:12:04,559 --> 00:12:06,360 Speaker 1: you get that type of cat for one angle. But 235 00:12:06,400 --> 00:12:08,120 Speaker 1: then you know, if you want them to rub against 236 00:12:08,120 --> 00:12:10,800 Speaker 1: the table or run down a fire escape, you need 237 00:12:10,800 --> 00:12:13,280 Speaker 1: to find the cat that wants to do that naturally. 238 00:12:13,320 --> 00:12:16,080 Speaker 1: And even then when they had those cats on hand, 239 00:12:16,080 --> 00:12:19,800 Speaker 1: the cats rarely did what they wanted. The Cohen Brothers 240 00:12:19,800 --> 00:12:22,840 Speaker 1: actually compared the experience to having to film a vulture 241 00:12:22,920 --> 00:12:26,000 Speaker 1: in True Grit. They said the vulture was awful, and 242 00:12:26,000 --> 00:12:30,000 Speaker 1: they said that was even by vulture standards, And even 243 00:12:30,000 --> 00:12:32,800 Speaker 1: though the experience was really frustrating. They'd take filming a 244 00:12:32,960 --> 00:12:37,360 Speaker 1: vulture scene over a cat scene any day, so that 245 00:12:37,360 --> 00:12:39,600 Speaker 1: that is ridiculous. And I do love that story. But 246 00:12:39,920 --> 00:12:42,800 Speaker 1: here's the thing, and maybe it's something that will increase 247 00:12:42,840 --> 00:12:45,760 Speaker 1: our own empathy for cats, But I don't actually think 248 00:12:45,800 --> 00:12:48,560 Speaker 1: it's a cat's fault that they're so independent. And why 249 00:12:48,640 --> 00:12:51,440 Speaker 1: is that? Because there's a theory that cats aren't actually 250 00:12:51,440 --> 00:12:55,319 Speaker 1: domesticated animals. They've never had to be domesticated. But even 251 00:12:55,360 --> 00:12:59,040 Speaker 1: more than that, the theory goes, these clever, adorable beasts 252 00:12:59,040 --> 00:13:02,880 Speaker 1: have over a thousands of years, actually domesticated us. But 253 00:13:03,080 --> 00:13:05,079 Speaker 1: before we talk about that, let's take a little break. 254 00:13:18,880 --> 00:13:21,400 Speaker 1: Welcome back to Part Time Genius, and we're talking cats. 255 00:13:21,720 --> 00:13:23,240 Speaker 1: So a mango. I know you're going to tell us 256 00:13:23,280 --> 00:13:26,480 Speaker 1: about cats and domestication, but before we talk about a 257 00:13:26,480 --> 00:13:30,000 Speaker 1: cat in the household, let's talk about cats breaking up households. 258 00:13:30,040 --> 00:13:32,960 Speaker 1: And you know that totally unfair reputation they got for 259 00:13:33,040 --> 00:13:37,679 Speaker 1: causing divorces in America. So I obviously know people are 260 00:13:37,679 --> 00:13:40,199 Speaker 1: attached to their animals, but I've never heard about this trend. 261 00:13:40,240 --> 00:13:43,720 Speaker 1: So what's the scoop? Well, this comes from Natalie Zarelli 262 00:13:43,800 --> 00:13:46,600 Speaker 1: at Atlas Obscura, and she reports that once the Married 263 00:13:46,600 --> 00:13:49,600 Speaker 1: Women's Property Act took hold in America, there was actually 264 00:13:49,640 --> 00:13:52,720 Speaker 1: an uptick in the number of divorces, and essentially unhappy 265 00:13:52,720 --> 00:13:56,240 Speaker 1: couples weren't doomed to stay together, but you still had 266 00:13:56,280 --> 00:13:59,840 Speaker 1: to have someone at fault and it had to be irreconcilable. 267 00:14:00,040 --> 00:14:03,600 Speaker 1: So a big strategy from the nineteen tens going forward 268 00:14:03,960 --> 00:14:06,959 Speaker 1: where couples that they just started blaming their cats. That's 269 00:14:06,960 --> 00:14:09,320 Speaker 1: pretty crazy. I've never heard of that, you know. I 270 00:14:09,360 --> 00:14:11,440 Speaker 1: actually remember one of our friends from college had a 271 00:14:11,440 --> 00:14:14,320 Speaker 1: grandmother who got divorced, and he told me that the 272 00:14:14,360 --> 00:14:17,400 Speaker 1: couple staged her walking in on him with another woman, 273 00:14:17,960 --> 00:14:20,200 Speaker 1: and it was purely so that they had a traumatic 274 00:14:20,240 --> 00:14:22,760 Speaker 1: story to tell. The New York Chorus. But you know, 275 00:14:23,000 --> 00:14:25,880 Speaker 1: just blaming a cat would have been so much easier. Yeah, 276 00:14:25,880 --> 00:14:28,080 Speaker 1: I would say that would have been a lot easier. 277 00:14:28,600 --> 00:14:30,680 Speaker 1: There's actually a story from this piece in nineteen o 278 00:14:30,800 --> 00:14:33,280 Speaker 1: three where a man told the judge this horror story. 279 00:14:33,320 --> 00:14:36,080 Speaker 1: He says, a cat met him at every turn with 280 00:14:36,120 --> 00:14:40,000 Speaker 1: an angry and a chorus of blood curdling mews. Apparently 281 00:14:40,000 --> 00:14:42,240 Speaker 1: he find cats in his bed sheets and when he 282 00:14:42,280 --> 00:14:44,520 Speaker 1: tried to escape them. He was too scared to leave 283 00:14:44,560 --> 00:14:47,000 Speaker 1: the bed, you know, lest he should expose his bare 284 00:14:47,080 --> 00:14:49,840 Speaker 1: feet to the claws of numerous pussies and provoke a 285 00:14:49,880 --> 00:14:52,280 Speaker 1: melody that would ring in his ears for the rest 286 00:14:52,280 --> 00:14:56,240 Speaker 1: of the day. So that feels so dramatic. Well, he 287 00:14:56,360 --> 00:14:58,320 Speaker 1: really had to sell it to the judge. And you know, 288 00:14:58,520 --> 00:15:00,680 Speaker 1: if the judge asked why the husband didn't just get 289 00:15:00,760 --> 00:15:03,560 Speaker 1: rid of the cats, often there'd be some story about 290 00:15:03,600 --> 00:15:06,280 Speaker 1: his wife being involved in like the A s p c. A, 291 00:15:06,440 --> 00:15:09,880 Speaker 1: which I guess felt virtuous or something. So, I mean, 292 00:15:09,920 --> 00:15:11,880 Speaker 1: there were lots of these stories. Oh, there's tons of 293 00:15:11,920 --> 00:15:14,480 Speaker 1: these stories that There's actually also a Civil War veteran 294 00:15:14,480 --> 00:15:16,720 Speaker 1: who claims he could never sit in his easy chair 295 00:15:16,760 --> 00:15:19,720 Speaker 1: because the cat was always there hissing at him. There 296 00:15:19,800 --> 00:15:21,880 Speaker 1: was another there was a wife that said she didn't 297 00:15:21,880 --> 00:15:24,320 Speaker 1: mind her husband's profanity, but it was too much when 298 00:15:24,320 --> 00:15:28,200 Speaker 1: he heaved the family cat at her. And looking at 299 00:15:28,200 --> 00:15:31,000 Speaker 1: that case, apparently she wanted twelve hundred dollars for the 300 00:15:31,080 --> 00:15:35,320 Speaker 1: humiliation of being beamed by the family cat. Just unbelievable. 301 00:15:35,560 --> 00:15:37,280 Speaker 1: There was also another dude who was upset that his 302 00:15:37,320 --> 00:15:40,120 Speaker 1: wife kept fifty cats around the house and gave them 303 00:15:40,200 --> 00:15:43,640 Speaker 1: more attention than him. Well, I mean, fifty cats would 304 00:15:43,680 --> 00:15:46,720 Speaker 1: need a lot of attention. Well, in court, she testified 305 00:15:46,720 --> 00:15:49,880 Speaker 1: that she only had fifteen cats. But you know, since 306 00:15:49,920 --> 00:15:52,680 Speaker 1: her husband didn't come home most nights, they were both 307 00:15:52,760 --> 00:15:55,200 Speaker 1: interested in splitting up. And you know, most of these 308 00:15:55,240 --> 00:15:58,920 Speaker 1: stories were either made up or just greatly exaggerated. So 309 00:15:59,160 --> 00:16:02,480 Speaker 1: how long did this cat blaming go on for? According 310 00:16:02,520 --> 00:16:06,000 Speaker 1: to the article, cats were scapegoats for really about a century, 311 00:16:06,000 --> 00:16:09,160 Speaker 1: and it wasn't until nineteen sixty nine, when no fault 312 00:16:09,200 --> 00:16:12,800 Speaker 1: divorce laws started becoming adopted by states that suddenly all 313 00:16:12,840 --> 00:16:16,360 Speaker 1: the cat blaming disappeared from the newspaper stories, which is 314 00:16:16,400 --> 00:16:19,080 Speaker 1: pretty insane. And uh, you know you feel sorry for 315 00:16:19,120 --> 00:16:22,080 Speaker 1: the cats. I know it's it's true. It's weird to 316 00:16:22,120 --> 00:16:24,040 Speaker 1: say that, but I actually do feel a little sorry 317 00:16:24,040 --> 00:16:25,880 Speaker 1: for them. But you were going to talk a little 318 00:16:25,880 --> 00:16:29,200 Speaker 1: bit about this idea that cats aren't really domesticated. Yeah, so, 319 00:16:29,360 --> 00:16:32,000 Speaker 1: you know, aside from that lion sneezing theory about cats, 320 00:16:32,160 --> 00:16:35,120 Speaker 1: researchers have actually found cat bones near human bones for 321 00:16:35,160 --> 00:16:37,640 Speaker 1: a while. There's a New Yorker piece on this, but 322 00:16:37,920 --> 00:16:40,720 Speaker 1: in China, by analyzing the bones and teeth of cats 323 00:16:40,680 --> 00:16:43,760 Speaker 1: skeletons from about five thousand years ago. Scientists can actually 324 00:16:43,800 --> 00:16:46,720 Speaker 1: show that cats were eating rodents and grains as well 325 00:16:46,760 --> 00:16:51,760 Speaker 1: as leftovers from human meals. And basically cats were opportunistic, right, Like, 326 00:16:52,040 --> 00:16:55,440 Speaker 1: they realized that rodents were plentiful around these farmers stores 327 00:16:55,480 --> 00:16:59,440 Speaker 1: of grain, so they ingratiated themselves. And people were opportunistic. 328 00:16:59,480 --> 00:17:01,640 Speaker 1: They were us that cats would kill off the disease 329 00:17:01,680 --> 00:17:04,960 Speaker 1: carrying vermin for them, and it was relatively little investment, 330 00:17:05,119 --> 00:17:07,280 Speaker 1: Like they didn't actually have to train the cats. All 331 00:17:07,320 --> 00:17:09,360 Speaker 1: they had to do was give them some shelter and 332 00:17:09,760 --> 00:17:12,080 Speaker 1: like a little extra food to eat, and then just 333 00:17:12,200 --> 00:17:15,720 Speaker 1: lean on their natural instincts. It was totally symbiotic. But 334 00:17:16,200 --> 00:17:18,560 Speaker 1: you know, cats were never bred for traits the way 335 00:17:18,720 --> 00:17:21,199 Speaker 1: dogs or cattle were. Like, you know, you look at 336 00:17:21,200 --> 00:17:23,240 Speaker 1: a docs and then you see how that dog was 337 00:17:23,280 --> 00:17:25,720 Speaker 1: bred to go after badgers, right, it was supposed to 338 00:17:25,800 --> 00:17:29,040 Speaker 1: chase badgers down badger holes and it's fearless, but it's 339 00:17:29,080 --> 00:17:31,520 Speaker 1: also shape for that, with that sort of long noodle 340 00:17:31,600 --> 00:17:34,240 Speaker 1: like shape. And uh, you know, cat reading is a 341 00:17:34,280 --> 00:17:37,679 Speaker 1: relatively recent phenomenon by the comparison, So I mean, are 342 00:17:37,720 --> 00:17:40,120 Speaker 1: there ways to prove out this theory that cats are 343 00:17:40,119 --> 00:17:43,920 Speaker 1: only semi in domesticated. Yeah, there definitely are. So there's 344 00:17:43,920 --> 00:17:47,800 Speaker 1: this geneticist at Washington University in St. Louis named Wesley Warren, 345 00:17:48,280 --> 00:17:50,760 Speaker 1: and apparently he and his colleagues looked at DNA from 346 00:17:50,800 --> 00:17:53,880 Speaker 1: wildcats and breeds of domestic cats. And this is from 347 00:17:53,880 --> 00:17:57,359 Speaker 1: the New Yorker again. The research showed that genetically cats 348 00:17:57,359 --> 00:18:00,320 Speaker 1: have actually diverged far less from their wildcats ants sisters 349 00:18:00,400 --> 00:18:02,719 Speaker 1: than dogs have from wolves. You know, you can kind 350 00:18:02,760 --> 00:18:04,600 Speaker 1: of see this in the wild, right, Like house cats 351 00:18:04,640 --> 00:18:07,240 Speaker 1: are better hunters than dogs. They can they can also 352 00:18:07,359 --> 00:18:10,119 Speaker 1: fend for themselves in the wild. And according to the piece, 353 00:18:10,280 --> 00:18:13,920 Speaker 1: feral cats have even routinely bred with their wildcat cousins. 354 00:18:14,280 --> 00:18:18,160 Speaker 1: And according to Warren quote it's not the true differentiation 355 00:18:18,200 --> 00:18:21,320 Speaker 1: you see between wolf and dog by comparison. His belief 356 00:18:21,400 --> 00:18:24,639 Speaker 1: is that the modern cat isn't fully domesticated. That is 357 00:18:24,680 --> 00:18:27,600 Speaker 1: pretty interesting, and to be honest, it kind of explains 358 00:18:27,680 --> 00:18:31,040 Speaker 1: why I don't fully trust them and I do still 359 00:18:31,080 --> 00:18:33,920 Speaker 1: almost feel sorry for them, though, well you shouldn't feel 360 00:18:33,920 --> 00:18:36,160 Speaker 1: too sorry for them, because some people like to joke 361 00:18:36,200 --> 00:18:39,560 Speaker 1: that these wildcats have actually domesticated us, and you know, 362 00:18:39,640 --> 00:18:43,480 Speaker 1: they've obviously stayed aloof while we keeping them shelter and 363 00:18:43,520 --> 00:18:46,760 Speaker 1: putting scratching posts in our houses and allow them to 364 00:18:46,840 --> 00:18:49,639 Speaker 1: go to the bathroom indoors. But the biggest argument for 365 00:18:49,680 --> 00:18:52,200 Speaker 1: them having trained does is that they have conditioned humans 366 00:18:52,240 --> 00:18:55,919 Speaker 1: to feed them on demand with something called solicitation purring. 367 00:18:56,440 --> 00:19:00,000 Speaker 1: So this comes from the journal Current Biology. But scientists 368 00:19:00,119 --> 00:19:03,600 Speaker 1: Karen McComb from the University of Sussex analyze the acoustic 369 00:19:03,680 --> 00:19:06,639 Speaker 1: structure of cat purs and she actually realized that cats 370 00:19:06,720 --> 00:19:11,440 Speaker 1: dramatically exaggerate their purs all to elicit this emotional response 371 00:19:11,480 --> 00:19:14,960 Speaker 1: from humans. Apparently it's the same frequency that babies cry at. 372 00:19:15,000 --> 00:19:17,760 Speaker 1: And it isn't all cats that do this, it's just 373 00:19:17,920 --> 00:19:21,480 Speaker 1: cats that have one on one relationships with humans. That 374 00:19:21,680 --> 00:19:25,440 Speaker 1: is pretty manipulative. I mean it's impressive, but it's pretty manipulative. Yeah, 375 00:19:25,520 --> 00:19:27,439 Speaker 1: I mean, they've got us on a tight leash. And 376 00:19:27,480 --> 00:19:29,879 Speaker 1: also they have a behavior where they rub up against 377 00:19:29,920 --> 00:19:32,040 Speaker 1: our legs. As you know, we pull a can out 378 00:19:32,080 --> 00:19:35,080 Speaker 1: to get their food, and that's supposedly rewarding us for 379 00:19:35,160 --> 00:19:37,800 Speaker 1: being good to them. But there's one more thing that 380 00:19:37,880 --> 00:19:41,280 Speaker 1: people site as felines clever control over humans, and that's 381 00:19:41,320 --> 00:19:44,040 Speaker 1: that we actually taste test their food for them. You know, 382 00:19:44,119 --> 00:19:47,120 Speaker 1: I know we talked about humans taste testing dog food before, 383 00:19:47,160 --> 00:19:49,520 Speaker 1: but I can't remember, like, why do they do that again? 384 00:19:49,800 --> 00:19:52,479 Speaker 1: So this comes from a Brock University study from Canada. 385 00:19:52,560 --> 00:19:55,679 Speaker 1: But basically, the pet food industry has noticed over the 386 00:19:55,720 --> 00:19:59,800 Speaker 1: years that cats are fussy eaters and they're quote unreliable 387 00:20:00,240 --> 00:20:03,240 Speaker 1: expensive test subjects in the pursuit of more appealing cat 388 00:20:03,280 --> 00:20:06,639 Speaker 1: food flavors, and the study basically showed that human taste 389 00:20:06,640 --> 00:20:09,720 Speaker 1: panels are you know, a much more cost effective way 390 00:20:09,760 --> 00:20:12,560 Speaker 1: to test can cat food. Apparently, the paper lists of 391 00:20:12,600 --> 00:20:17,240 Speaker 1: methodology for human testers to quote profile the flavor and 392 00:20:17,320 --> 00:20:21,159 Speaker 1: texture of a range of cat food products, including evaluating 393 00:20:21,240 --> 00:20:26,160 Speaker 1: meat chunk and gravy to gel constituents gross you know. So, 394 00:20:26,280 --> 00:20:29,240 Speaker 1: you know, if we're gonna keep keeping our feline masters happy, 395 00:20:29,640 --> 00:20:31,280 Speaker 1: more people are going to have to get into the 396 00:20:31,320 --> 00:20:34,520 Speaker 1: cat food tasting business. Well. I definitely have come away 397 00:20:34,600 --> 00:20:37,160 Speaker 1: with some understanding of why cats act the way they do, 398 00:20:37,359 --> 00:20:40,040 Speaker 1: and and maybe even a little admiration for how they 399 00:20:40,080 --> 00:20:42,359 Speaker 1: manipulate it. But why don't we talk about how cats 400 00:20:42,359 --> 00:20:45,520 Speaker 1: became so popular in the first place. Let's take a 401 00:20:45,560 --> 00:21:01,160 Speaker 1: quick break first, welcome back to Part Time Genius where 402 00:21:01,160 --> 00:21:04,239 Speaker 1: we're talking cats. All right, Mango. So obviously we know 403 00:21:04,320 --> 00:21:07,159 Speaker 1: that the Internet has done a lot for cat appreciation, 404 00:21:07,280 --> 00:21:10,040 Speaker 1: and you know, you had grumpy cat Little Bob ruling 405 00:21:10,040 --> 00:21:12,440 Speaker 1: the internet for a while, and all that I can 406 00:21:12,520 --> 00:21:15,800 Speaker 1: has cheeseburger memes being such a big thing for a while. 407 00:21:16,280 --> 00:21:18,800 Speaker 1: But but actually, looking back, Time Magazine kind of predicted 408 00:21:18,840 --> 00:21:22,000 Speaker 1: this trend way back in nineteen eighty one, right, that's right, 409 00:21:22,160 --> 00:21:24,280 Speaker 1: And you and I found an old Time magazine cover 410 00:21:24,320 --> 00:21:26,640 Speaker 1: story from nineteen eight one that declared that cats were 411 00:21:26,680 --> 00:21:29,840 Speaker 1: the hot new thing. But uh, I'd almost argued that 412 00:21:29,880 --> 00:21:31,960 Speaker 1: the thing that truly brought cats to the level of 413 00:21:32,000 --> 00:21:35,399 Speaker 1: popularity and endearment there at now isn't the Internet or 414 00:21:35,560 --> 00:21:39,000 Speaker 1: Morris or even Garfield comics, which are some of the 415 00:21:39,000 --> 00:21:40,520 Speaker 1: things that are in this Time article, and I do 416 00:21:40,560 --> 00:21:43,080 Speaker 1: think we should talk about them, definitely. But one of 417 00:21:43,080 --> 00:21:45,440 Speaker 1: the things I saw that writer Paul Ford points to 418 00:21:45,680 --> 00:21:47,919 Speaker 1: is the rise of kitty litter, which is actually a 419 00:21:48,000 --> 00:21:51,080 Speaker 1: relatively recent invention. I didn't realize this. It only came 420 00:21:51,080 --> 00:21:55,480 Speaker 1: about in ninete so what were people doing before then? 421 00:21:55,680 --> 00:21:58,440 Speaker 1: So I had the same question, and basically they had 422 00:21:58,520 --> 00:22:02,040 Speaker 1: sandboxes outside they'd let their cats go in the yard. Anyway, 423 00:22:02,080 --> 00:22:04,800 Speaker 1: the story is pretty interesting and Ford wrote this up 424 00:22:04,800 --> 00:22:08,280 Speaker 1: for Medium. But basically, this woman's sandbox for a cat 425 00:22:08,400 --> 00:22:10,920 Speaker 1: was frozen, so she came to buy some sawdust from 426 00:22:10,920 --> 00:22:13,639 Speaker 1: a local mill in Michigan. And the guy's name was 427 00:22:13,720 --> 00:22:15,840 Speaker 1: at Low. He had been working for his dad's mill 428 00:22:15,880 --> 00:22:18,360 Speaker 1: at the time, and when she described what she wanted 429 00:22:18,359 --> 00:22:21,080 Speaker 1: for her cat, he gave her an alternative. He had 430 00:22:21,080 --> 00:22:24,000 Speaker 1: this kil and dried granulated clay that they just started 431 00:22:24,080 --> 00:22:27,159 Speaker 1: using for grease spills at the mill, And when she 432 00:22:27,200 --> 00:22:29,880 Speaker 1: came back for more, he started labeling a kitty litter 433 00:22:29,960 --> 00:22:32,720 Speaker 1: and tried marketing it. But what's amazing is what a 434 00:22:32,760 --> 00:22:35,199 Speaker 1: business it became. So, according to his obit in the 435 00:22:35,200 --> 00:22:38,240 Speaker 1: New York Times, he sold the product to Ralston Purina 436 00:22:38,359 --> 00:22:41,639 Speaker 1: for two d million dollars. And listen to this, he 437 00:22:41,720 --> 00:22:46,560 Speaker 1: owned twenty two homes, a private railroad, a stable of quarterhouses, 438 00:22:46,960 --> 00:22:50,919 Speaker 1: and an entire Michigan town. Isn't that incredible? So so 439 00:22:50,960 --> 00:22:55,119 Speaker 1: basically kitty letter changed how we interacted with cats. Yeah, so, 440 00:22:55,200 --> 00:22:58,280 Speaker 1: like all cats were indoor outdoor cats until the advent 441 00:22:58,320 --> 00:23:00,920 Speaker 1: of kitty litter and then slowed more and more cats 442 00:23:01,000 --> 00:23:03,480 Speaker 1: game house bound. But it's also starting to think about 443 00:23:03,560 --> 00:23:07,080 Speaker 1: how much kitty litter we use. So according to Ford's research, 444 00:23:07,359 --> 00:23:10,840 Speaker 1: about twenty companies strip mind about four billion pounds of 445 00:23:10,840 --> 00:23:14,439 Speaker 1: the necessary clay each year, four billion pounds. And and 446 00:23:14,520 --> 00:23:18,600 Speaker 1: by comparison, Ford sites the Great Pyramid of Giza only 447 00:23:18,600 --> 00:23:22,080 Speaker 1: ways thirteen billion pounds. I like that, that's the comparison 448 00:23:22,080 --> 00:23:23,800 Speaker 1: to you. So all right, so then you're saying, with 449 00:23:23,840 --> 00:23:26,200 Speaker 1: three or four years of work, you could actually build 450 00:23:26,200 --> 00:23:30,360 Speaker 1: this impressive pyramid of kitty letter then, which is amazing. 451 00:23:30,359 --> 00:23:32,200 Speaker 1: But all right, well let's talk about this time article 452 00:23:32,280 --> 00:23:34,960 Speaker 1: that because it is pretty fun blind for it. So 453 00:23:35,320 --> 00:23:38,919 Speaker 1: this piece basically argued that the nine eighties were this 454 00:23:39,000 --> 00:23:41,760 Speaker 1: time that really primed the world to love cats, right, yeah, 455 00:23:41,760 --> 00:23:43,800 Speaker 1: And here's just a few of the indicators they show 456 00:23:43,840 --> 00:23:46,240 Speaker 1: that cats were on the rise. So the point you 457 00:23:46,280 --> 00:23:48,720 Speaker 1: made earlier, these cat litter boxes in the eighties were 458 00:23:48,720 --> 00:23:51,680 Speaker 1: now oder proof and kick proof, and that made keeping 459 00:23:51,680 --> 00:23:53,399 Speaker 1: a box where your cat poops in the house far 460 00:23:53,520 --> 00:23:56,920 Speaker 1: more appealing than it previously was. There were also three 461 00:23:56,960 --> 00:24:00,400 Speaker 1: different Garfield books on the best seller list which cat 462 00:24:00,480 --> 00:24:03,119 Speaker 1: humor had truly arrived. I'm not sure what it says 463 00:24:03,200 --> 00:24:06,359 Speaker 1: about the taste of people in the nineteen eighties that 464 00:24:06,480 --> 00:24:08,720 Speaker 1: three of them were on the bestseller list. And then 465 00:24:08,840 --> 00:24:11,840 Speaker 1: California suddenly there were a cat everything's. You could find 466 00:24:12,080 --> 00:24:14,560 Speaker 1: a cat resort at, a cat department store, a cat 467 00:24:14,600 --> 00:24:18,440 Speaker 1: rest home, a rent a cat agency, a cat dating service. 468 00:24:18,520 --> 00:24:20,320 Speaker 1: I have no idea what that is, but it was 469 00:24:20,359 --> 00:24:24,239 Speaker 1: one of the things. Cats psychics, cat acting coaches, and 470 00:24:24,280 --> 00:24:27,960 Speaker 1: of course a special annual contest to judge cat's meouse. 471 00:24:28,920 --> 00:24:30,680 Speaker 1: And then at that time you had Mars, the cat 472 00:24:30,720 --> 00:24:33,760 Speaker 1: who was officially declared a celebrity cat, you know, essentially 473 00:24:33,760 --> 00:24:36,760 Speaker 1: the feline Burt Reynolds, if you will. And then, as 474 00:24:36,800 --> 00:24:40,640 Speaker 1: the story reported, cats were quickly gaining on dogs. According 475 00:24:40,680 --> 00:24:43,520 Speaker 1: to the article, thirty four million cats had worked their 476 00:24:43,560 --> 00:24:47,040 Speaker 1: way into homes, which was a fifty increase over the 477 00:24:47,119 --> 00:24:50,040 Speaker 1: last decade. Now if you look at those numbers, now 478 00:24:50,119 --> 00:24:53,439 Speaker 1: some reports have cats that closer to nine billion cats 479 00:24:53,440 --> 00:24:55,800 Speaker 1: in homes, you know, plus the thirty or forty million 480 00:24:55,840 --> 00:24:58,280 Speaker 1: feral community cats that you know, they're the ones that 481 00:24:58,359 --> 00:25:00,880 Speaker 1: keep rodents at bay. Yeah, yeah, I guess for all 482 00:25:00,920 --> 00:25:03,440 Speaker 1: the jokes about this cat trend like, cats have really 483 00:25:03,480 --> 00:25:06,000 Speaker 1: grown on us as a culture. And while you and 484 00:25:06,040 --> 00:25:08,360 Speaker 1: I might not be cat people yet, I do think 485 00:25:08,359 --> 00:25:11,520 Speaker 1: we have to grudgingly admit that they're pretty amazing creatures. 486 00:25:12,119 --> 00:25:14,439 Speaker 1: I mean, I'm not sure I'm there just yet, but 487 00:25:14,520 --> 00:25:17,000 Speaker 1: maybe after a few amazing facts. So let's start the 488 00:25:17,000 --> 00:25:28,199 Speaker 1: fact off. Do you know that jazz musician Charles Mingus 489 00:25:28,240 --> 00:25:31,520 Speaker 1: trained his cat Nightlife to go on the toilet. In fact, 490 00:25:31,520 --> 00:25:34,080 Speaker 1: he even wrote a step by step manuel called the 491 00:25:34,160 --> 00:25:38,120 Speaker 1: Charles Mingus Catalog for Toilet Training your cat. Well, there 492 00:25:38,200 --> 00:25:40,680 Speaker 1: is at least one thing you cannot train a cat 493 00:25:40,720 --> 00:25:43,520 Speaker 1: to do, and that's hold a candle for you. According 494 00:25:43,560 --> 00:25:46,480 Speaker 1: to the folks at Qui, Dante desperately tried teaching his 495 00:25:46,560 --> 00:25:48,880 Speaker 1: cat to hold a candle for him so he could 496 00:25:48,880 --> 00:25:53,119 Speaker 1: write at night, but to no avail, I mean, stupid Dante, Like, 497 00:25:53,119 --> 00:25:55,359 Speaker 1: why wouldn't you just get a candle holder? Doesn't make 498 00:25:55,359 --> 00:25:59,159 Speaker 1: it never occurred to him for some reason. So you know, 499 00:25:59,200 --> 00:26:01,040 Speaker 1: I I know if you will always talk about cats 500 00:26:01,080 --> 00:26:03,600 Speaker 1: incredible ability to land on their feet, but did you 501 00:26:03,640 --> 00:26:07,200 Speaker 1: know that cats can survive falls from sixty feet? Now, 502 00:26:07,440 --> 00:26:10,200 Speaker 1: obviously this isn't a suggestion for listeners to go test 503 00:26:10,240 --> 00:26:12,479 Speaker 1: this out on their cat. Far from it. But uh, 504 00:26:12,840 --> 00:26:16,800 Speaker 1: in a study on cats that had fallen from tall buildings, 505 00:26:17,080 --> 00:26:20,960 Speaker 1: apparently of them survived, though they did have injuries. And 506 00:26:21,080 --> 00:26:23,480 Speaker 1: this comes from our old pal bill domain. But the 507 00:26:23,520 --> 00:26:25,879 Speaker 1: study found that cats that fell from heights of seven 508 00:26:25,920 --> 00:26:28,920 Speaker 1: to thirty two stories were less likely to die than 509 00:26:28,960 --> 00:26:31,720 Speaker 1: those that fell from two to six stories, which makes 510 00:26:31,760 --> 00:26:35,160 Speaker 1: no sense. So the scientists know why this is. So 511 00:26:35,400 --> 00:26:38,040 Speaker 1: there's actually a lot of theories and and there's been 512 00:26:38,080 --> 00:26:40,000 Speaker 1: a lot of research into it. And part of it 513 00:26:40,119 --> 00:26:42,600 Speaker 1: might be that because cats bodies act as a bit 514 00:26:42,600 --> 00:26:44,960 Speaker 1: of a parachute, and part of it might be that 515 00:26:45,000 --> 00:26:48,159 Speaker 1: cats relax once they've fallen a certain distance. And you know, 516 00:26:48,280 --> 00:26:51,040 Speaker 1: the reason babies and stuff men often survive accidents is 517 00:26:51,080 --> 00:26:53,200 Speaker 1: that they bounced because they don't tense up their muscles. 518 00:26:53,680 --> 00:26:56,240 Speaker 1: I mean, I always love that buttered cat paradox, you know, 519 00:26:56,280 --> 00:26:58,760 Speaker 1: because cats always land on their feet and butter bread 520 00:26:58,800 --> 00:27:01,679 Speaker 1: always lands face down. So like if you tie a 521 00:27:01,720 --> 00:27:04,240 Speaker 1: piece of buttered bread to a cat's back and then 522 00:27:04,440 --> 00:27:07,560 Speaker 1: drop it, well the cat just like hover above the floor. 523 00:27:08,960 --> 00:27:11,600 Speaker 1: I love that. So here's a quick one about cats 524 00:27:11,640 --> 00:27:14,119 Speaker 1: making the world a better place. So in two thousand 525 00:27:14,240 --> 00:27:17,000 Speaker 1: seven the New York Times. Before that, Thailand was shaming 526 00:27:17,040 --> 00:27:20,080 Speaker 1: wayward cops. You know, these were the officers who were littering, 527 00:27:20,280 --> 00:27:23,000 Speaker 1: or parking in the wrong place, or even showing little 528 00:27:23,000 --> 00:27:26,199 Speaker 1: abuses of power. And they did this with an unusual method. 529 00:27:26,480 --> 00:27:30,480 Speaker 1: They started making them wear pink Hello Kitty arm bands. And, 530 00:27:30,600 --> 00:27:33,840 Speaker 1: as a police chief told The Times after the policy 531 00:27:33,880 --> 00:27:36,840 Speaker 1: came out, police were scared, it will be very embarrassing 532 00:27:36,880 --> 00:27:40,360 Speaker 1: to walk around with Hello Kitty on your arm. What's strange, though, 533 00:27:40,400 --> 00:27:42,480 Speaker 1: is that this is actually the second variation on this 534 00:27:42,640 --> 00:27:45,960 Speaker 1: arm band technique. So there was a previous iteration where 535 00:27:46,000 --> 00:27:50,440 Speaker 1: they gave bad cops plaid arm bands. But unfortunately the 536 00:27:50,440 --> 00:27:53,200 Speaker 1: they were seen as like gestures of pride or something, 537 00:27:53,200 --> 00:27:55,440 Speaker 1: and they started taking them home and treating them like metals. 538 00:27:56,119 --> 00:27:58,160 Speaker 1: All right, well, here's a strange bit of science. According 539 00:27:58,200 --> 00:28:01,760 Speaker 1: to News, scientists, cats don't understand the cause and effect 540 00:28:01,840 --> 00:28:04,159 Speaker 1: of tugging on a string. You'll have to explain what 541 00:28:04,160 --> 00:28:05,600 Speaker 1: do you mean by this. Well, there was a study 542 00:28:05,640 --> 00:28:08,320 Speaker 1: at Canterbury christ Church University in the UK and there 543 00:28:08,359 --> 00:28:10,200 Speaker 1: was a team of researchers and what they did was 544 00:28:10,240 --> 00:28:12,840 Speaker 1: they attached fish or biscuit trees to the end of 545 00:28:12,920 --> 00:28:15,760 Speaker 1: one string, and then they put another string with no 546 00:28:15,840 --> 00:28:19,360 Speaker 1: treat attached. And according to the researchers, the cats couldn't 547 00:28:19,359 --> 00:28:24,000 Speaker 1: see the cause and effect. The story states, chimps, parrots, ravens, 548 00:28:24,119 --> 00:28:26,000 Speaker 1: they all understand that tugging on one end of a 549 00:28:26,040 --> 00:28:29,399 Speaker 1: string will bring a treat closer. But cats don't, and 550 00:28:29,400 --> 00:28:32,920 Speaker 1: there aren't alone. So pigeons and human infants also don't 551 00:28:32,960 --> 00:28:35,960 Speaker 1: pick up on this, and for the record, neither do dogs. 552 00:28:36,320 --> 00:28:38,360 Speaker 1: So speaking of cats and dogs, did you know that 553 00:28:38,440 --> 00:28:41,120 Speaker 1: if your dogs overweight, there's actually a good chance you'll 554 00:28:41,120 --> 00:28:44,360 Speaker 1: be overweight too? And in two thousand and ten, the 555 00:28:44,440 --> 00:28:47,680 Speaker 1: journal Public Health Nutrition published a study from Amsterdam that 556 00:28:47,720 --> 00:28:51,200 Speaker 1: showed that there's a significant relationship between overweight dogs and 557 00:28:51,240 --> 00:28:53,240 Speaker 1: the b m I of their owners. But if your 558 00:28:53,280 --> 00:28:56,200 Speaker 1: cat is overweight, it's not a good predictor of whether 559 00:28:56,240 --> 00:28:58,840 Speaker 1: you'll be overweight. It's because you and your cat are 560 00:28:58,880 --> 00:29:01,280 Speaker 1: just you know, on your own, living your best lives. 561 00:29:01,720 --> 00:29:04,680 Speaker 1: Is that what it is? Okay? All right, Well here's 562 00:29:04,680 --> 00:29:07,440 Speaker 1: a strange one. So Japan is obsessed with cats, right, 563 00:29:07,520 --> 00:29:09,800 Speaker 1: and that's that's no surprise. Obviously, it's the land of 564 00:29:09,800 --> 00:29:13,000 Speaker 1: waving porcelain cats that sit in stores and responsible for 565 00:29:13,040 --> 00:29:16,120 Speaker 1: Hello Kitty, and I think it's where cat cafes started. 566 00:29:16,160 --> 00:29:18,560 Speaker 1: But but now also they have cat bars and cat 567 00:29:18,640 --> 00:29:22,520 Speaker 1: cafe train cars, so they are definitely cat obsessed. There's 568 00:29:22,520 --> 00:29:25,760 Speaker 1: even a hand lotion that's now cat paw scented, so 569 00:29:25,760 --> 00:29:28,000 Speaker 1: your hands can smell more like the bottom of your cats. 570 00:29:28,440 --> 00:29:30,760 Speaker 1: I don't know why people want this, but it is 571 00:29:30,800 --> 00:29:33,480 Speaker 1: available now. But you know how cats make biscuits in 572 00:29:33,520 --> 00:29:35,760 Speaker 1: the morning, right, Yeah, that's when they kind of like 573 00:29:35,760 --> 00:29:38,480 Speaker 1: wake you up and gently need on owners chests in 574 00:29:38,520 --> 00:29:41,280 Speaker 1: the morning for attention. So the craziest story I read 575 00:29:41,360 --> 00:29:43,640 Speaker 1: is that there's a spa in Japan where they offer 576 00:29:43,680 --> 00:29:47,160 Speaker 1: these cat treatments as back massages. You can actually pay 577 00:29:47,280 --> 00:29:50,480 Speaker 1: to have a cat need your back. It was really 578 00:29:50,960 --> 00:29:55,320 Speaker 1: hard for me to even just say that. Stapid so 579 00:29:55,440 --> 00:29:59,280 Speaker 1: ter It's both amazing and terrifying to me. So do 580 00:29:59,400 --> 00:30:01,520 Speaker 1: you know that hats aren't actually the only creatures they 581 00:30:01,520 --> 00:30:05,600 Speaker 1: get hairballs? Cows and rabbits get them too. That's weird alright. 582 00:30:05,600 --> 00:30:08,040 Speaker 1: So here's one about Mark Twain, the notorious cat lover, 583 00:30:08,080 --> 00:30:11,000 Speaker 1: as we mentioned earlier. Now, one thing he truly enjoyed 584 00:30:11,080 --> 00:30:14,000 Speaker 1: was giving his cats strange names. So here are a 585 00:30:14,080 --> 00:30:20,480 Speaker 1: few of them. He had Appollinaris, Beasel, bub blather, Skite, Buffalo, Bill, Satan, Sourmash, 586 00:30:20,560 --> 00:30:24,760 Speaker 1: Soapy Sell, Pestilence, and Bambino. And actually I have one 587 00:30:24,800 --> 00:30:28,600 Speaker 1: more fact about Twain. Apparently Bambino escaped one day and 588 00:30:28,640 --> 00:30:30,960 Speaker 1: Twain was so worried that he did what any cat 589 00:30:31,000 --> 00:30:32,840 Speaker 1: lover would do, and he put an ad in the 590 00:30:32,840 --> 00:30:36,280 Speaker 1: New York newspapers and offered a five dollar reward for this. 591 00:30:36,680 --> 00:30:40,000 Speaker 1: It was a large and intensely black cat. Now, Bambino 592 00:30:40,080 --> 00:30:42,040 Speaker 1: showed up on his own in a few days, but 593 00:30:42,440 --> 00:30:45,200 Speaker 1: putting an ad in the paper was a huge mistake. 594 00:30:45,760 --> 00:30:48,680 Speaker 1: Years later, people were still using it as an excuse 595 00:30:48,760 --> 00:30:51,080 Speaker 1: to try to meet Mark Twain. They would just show 596 00:30:51,200 --> 00:30:53,920 Speaker 1: up at his door with like random cat that they claimed, 597 00:30:54,080 --> 00:30:59,280 Speaker 1: we're definitely Bambino. Well, you know, I thought I had 598 00:30:59,320 --> 00:31:01,360 Speaker 1: you with my Hello Pitti fact, but I think you 599 00:31:01,480 --> 00:31:03,600 Speaker 1: best to meet with that Mark Twain one too, So 600 00:31:03,880 --> 00:31:06,320 Speaker 1: I'm actually gonna give you the Cat Fact Trophy today. Wow, 601 00:31:06,360 --> 00:31:09,280 Speaker 1: it is truly an honor, And listeners, I hope you've 602 00:31:09,400 --> 00:31:11,920 Speaker 1: enjoyed today's list of facts about cats. If we have 603 00:31:12,040 --> 00:31:15,120 Speaker 1: forgotten any great fact, please send those to us. We'd 604 00:31:15,120 --> 00:31:17,239 Speaker 1: love to hear from you. Part Time Genius and How 605 00:31:17,320 --> 00:31:19,800 Speaker 1: Stuff Works dot com. You can also call our fact 606 00:31:19,840 --> 00:31:22,800 Speaker 1: hot line one eight four four pt Genius or hit 607 00:31:22,880 --> 00:31:25,480 Speaker 1: us up on Facebook or Twitter. I hope we have 608 00:31:25,520 --> 00:31:27,960 Speaker 1: redeemed ourselves a little bit with all the cat lovers 609 00:31:28,000 --> 00:31:30,720 Speaker 1: out there with today's little vote. I have a bit 610 00:31:30,760 --> 00:31:33,840 Speaker 1: more respect for cats now. But thank you guys for listening. 611 00:31:47,680 --> 00:31:50,200 Speaker 1: Thanks again for listening. Part Time Genius is a production 612 00:31:50,200 --> 00:31:52,680 Speaker 1: of How Stuff Works and wouldn't be possible without several 613 00:31:52,720 --> 00:31:55,240 Speaker 1: brilliant people who do the important things we couldn't even 614 00:31:55,240 --> 00:31:58,560 Speaker 1: begin to understand. CHRISTA McNeil does the editing thing. Noel 615 00:31:58,600 --> 00:32:01,160 Speaker 1: Brown made the theme song and does mixy mixy sound thing. 616 00:32:01,680 --> 00:32:04,760 Speaker 1: Jerry Rowland does the exact producer thing. Gave Louesier is 617 00:32:04,800 --> 00:32:07,520 Speaker 1: our lead researcher, with support from the research Army including 618 00:32:07,520 --> 00:32:10,440 Speaker 1: Austin Thompson, Nolan Brown and Lucas Adams and Eve Jeff 619 00:32:10,480 --> 00:32:12,640 Speaker 1: Cook gets the show to your ears. Good job, Eves. 620 00:32:12,800 --> 00:32:14,720 Speaker 1: If you like what you heard, we hope you'll subscribe. 621 00:32:14,720 --> 00:32:16,600 Speaker 1: And if you really really like what you've heard maybe 622 00:32:16,640 --> 00:32:18,520 Speaker 1: you could leave a good review for us. Do we 623 00:32:18,640 --> 00:32:20,440 Speaker 1: do we forget Jason? Jason who