1 00:00:03,080 --> 00:00:05,960 Speaker 1: Welcome to Stuff to Blow Your Mind from how Stuff 2 00:00:06,000 --> 00:00:14,040 Speaker 1: Works dot com. Hey are welcome to Stuff to Blow 3 00:00:14,080 --> 00:00:16,439 Speaker 1: your Mind. My name is Robert Lamb and I'm Julie 4 00:00:16,520 --> 00:00:20,120 Speaker 1: Kai E Douglas. Oh yeah, that's your your new nickname now, 5 00:00:20,360 --> 00:00:24,439 Speaker 1: I just want to try it out. Kawai kai. Yeah, 6 00:00:24,480 --> 00:00:26,520 Speaker 1: I don't know. I don't think that people usually call 7 00:00:26,600 --> 00:00:30,080 Speaker 1: me cute that, which is what kawaii essentially means in Japanese. 8 00:00:30,560 --> 00:00:33,320 Speaker 1: M Yeah, what is it? What is cute? What does 9 00:00:33,360 --> 00:00:36,440 Speaker 1: it mean to be cute as a person is a thing? Like? 10 00:00:36,520 --> 00:00:38,920 Speaker 1: What does that label mean within our culture? Well, I 11 00:00:38,960 --> 00:00:42,040 Speaker 1: think the United States it's more of an outward appearance, 12 00:00:42,479 --> 00:00:45,640 Speaker 1: whereas in Japanese culture it is sort of this whole 13 00:00:45,800 --> 00:00:51,680 Speaker 1: industrial complex of absolute cuteness. Yes, yes, definitely in Japan, 14 00:00:51,760 --> 00:00:55,760 Speaker 1: kauai is big business and has been for for decades now. Um, 15 00:00:55,760 --> 00:00:58,080 Speaker 1: but certainly cute holds a lot of power here in 16 00:00:58,120 --> 00:01:00,720 Speaker 1: the States as well throughout most of the rest of 17 00:01:00,720 --> 00:01:04,000 Speaker 1: the world. I mean, even just looking around in this room, 18 00:01:04,040 --> 00:01:07,200 Speaker 1: we can see some little bits of cute peking their way, 19 00:01:07,200 --> 00:01:09,480 Speaker 1: and there's a there's a wooden monkey over there on 20 00:01:09,600 --> 00:01:14,240 Speaker 1: Noel's desk. There's Pablo Picasso in his underwear. Picture of 21 00:01:14,319 --> 00:01:17,160 Speaker 1: Pablo Picasso is underway. Yes, I don't know how cute 22 00:01:17,200 --> 00:01:20,440 Speaker 1: that is, but but the monkey's cute to eliminate extent, 23 00:01:20,520 --> 00:01:22,720 Speaker 1: the dinosaur is cute. And if you go around our death, 24 00:01:22,800 --> 00:01:25,800 Speaker 1: like any workplace, you're gonna find various totems of cute, 25 00:01:26,120 --> 00:01:30,759 Speaker 1: various little, uh little icons of cuteness that just some 26 00:01:30,800 --> 00:01:34,440 Speaker 1: degree empower the individual who has it. That's right. So 27 00:01:34,520 --> 00:01:37,240 Speaker 1: we are going to explore this concept of kauai e 28 00:01:37,440 --> 00:01:39,920 Speaker 1: and we're gonna do it through a couple of different 29 00:01:40,000 --> 00:01:43,720 Speaker 1: vectors here, one of which is, of course, uh, one 30 00:01:43,760 --> 00:01:46,640 Speaker 1: of the big exports of the Internet, and I'm not 31 00:01:46,680 --> 00:01:51,160 Speaker 1: talking about porn, but the other thing cats cats. Yes, yes, 32 00:01:51,200 --> 00:01:54,000 Speaker 1: So it should come as no surprise anyone that, of 33 00:01:54,040 --> 00:01:56,840 Speaker 1: course the Internet is full of cat videos, cat photos, 34 00:01:56,880 --> 00:02:00,040 Speaker 1: cat memes, images, gifts, you name it. I mean, in 35 00:02:00,080 --> 00:02:03,600 Speaker 1: any given day, you're probably bombarded with at least two 36 00:02:03,680 --> 00:02:05,800 Speaker 1: or three of these things, right, and if you act 37 00:02:05,880 --> 00:02:08,760 Speaker 1: actively seeking them out, if you're actively consuming them, then 38 00:02:08,800 --> 00:02:10,760 Speaker 1: there's no end in sight. You could get on a 39 00:02:10,800 --> 00:02:12,600 Speaker 1: kick one day and just keep going that you starve 40 00:02:12,639 --> 00:02:16,399 Speaker 1: to death. You could you would just fall down that 41 00:02:16,560 --> 00:02:20,240 Speaker 1: cat wormhole and and you're right, you can fill your 42 00:02:20,240 --> 00:02:23,680 Speaker 1: head with with all these sorts of images. And actually, 43 00:02:23,760 --> 00:02:28,840 Speaker 1: there is an artificial neural network that Google's ex Laboratory 44 00:02:28,880 --> 00:02:33,320 Speaker 1: and Stanford University have been working on. And again, this 45 00:02:33,400 --> 00:02:37,000 Speaker 1: is a large scale neural network. It's distributed across sixteen 46 00:02:37,000 --> 00:02:40,359 Speaker 1: thousand process of course, and researchers trained models with more 47 00:02:40,400 --> 00:02:43,040 Speaker 1: than one billion connections. And they found that this network, 48 00:02:43,080 --> 00:02:45,520 Speaker 1: when it sort of ran off on its own, it 49 00:02:45,720 --> 00:02:49,080 Speaker 1: learned how to identify a cat after a week of 50 00:02:49,120 --> 00:02:52,800 Speaker 1: watching YouTube videos. That is how prevalent this subject is 51 00:02:53,240 --> 00:02:56,760 Speaker 1: on the internet. Yeah, they fit at random thumbnails of images, 52 00:02:57,600 --> 00:03:00,880 Speaker 1: each one extracted from ten million YouTube big eos. And 53 00:03:01,200 --> 00:03:04,600 Speaker 1: it ends up having to basically invent the concept of 54 00:03:04,639 --> 00:03:07,920 Speaker 1: the cat in processing all of this data, figuring out right, 55 00:03:07,960 --> 00:03:09,480 Speaker 1: what's at the heart of this? What is this about? 56 00:03:09,560 --> 00:03:11,960 Speaker 1: What is what? What? What is all this data telling me? 57 00:03:12,000 --> 00:03:14,160 Speaker 1: It is telling me this is a cat, this is 58 00:03:14,200 --> 00:03:16,600 Speaker 1: the form of the cat, and uh and and then 59 00:03:16,919 --> 00:03:19,960 Speaker 1: and then everything else stems from that. And so you 60 00:03:20,080 --> 00:03:24,559 Speaker 1: have someone like philosopher Dan Dennett, who who's talking about 61 00:03:24,600 --> 00:03:28,000 Speaker 1: these sort of super normal stimuli, and he's talking about 62 00:03:28,000 --> 00:03:32,640 Speaker 1: super normal stimuli like chocolate cake. He's saying that there 63 00:03:32,639 --> 00:03:35,240 Speaker 1: are certain things in our environment that we see that 64 00:03:35,360 --> 00:03:39,920 Speaker 1: really get us ramped up, and that cats, babies, these 65 00:03:40,000 --> 00:03:44,000 Speaker 1: all maybe the sort of super stimuli that works UM 66 00:03:44,240 --> 00:03:47,840 Speaker 1: on this sort of evolution and instinctual preference. So if 67 00:03:47,840 --> 00:03:50,200 Speaker 1: you look at a chocolate cake, for instance, Um, that 68 00:03:50,320 --> 00:03:54,160 Speaker 1: is a high energy food, right, You like the chocolate 69 00:03:54,200 --> 00:03:56,880 Speaker 1: cake not because it's chocolate cake, but because you know 70 00:03:57,560 --> 00:03:59,880 Speaker 1: that it's going to be a huge shot of glucose, 71 00:04:00,040 --> 00:04:03,119 Speaker 1: and that you know, from an evolutionary perspective, that would 72 00:04:03,120 --> 00:04:05,160 Speaker 1: be helpful for us to have stores with that, right, Yes, 73 00:04:05,160 --> 00:04:07,320 Speaker 1: because in the ancient past, of course, a big chocolate 74 00:04:07,320 --> 00:04:09,760 Speaker 1: cake was hard to come by, or certainly that much sugar, 75 00:04:09,760 --> 00:04:11,440 Speaker 1: that much energy in one place was hard to come by. 76 00:04:11,440 --> 00:04:14,040 Speaker 1: You had to jump on it. And uh, it's the 77 00:04:14,120 --> 00:04:16,919 Speaker 1: chocolate cake example is great too because if anyone remembers 78 00:04:16,920 --> 00:04:20,480 Speaker 1: back to our episodes on decision fatigue UM and in 79 00:04:20,880 --> 00:04:23,200 Speaker 1: neural load and how that how we carry that through 80 00:04:23,240 --> 00:04:26,640 Speaker 1: the day. The experiments that studied it, Uh, most of 81 00:04:26,640 --> 00:04:29,479 Speaker 1: the time they seem to incorporate chocolate cake in one 82 00:04:29,480 --> 00:04:32,599 Speaker 1: form another, using that as the temptation as to your 83 00:04:32,920 --> 00:04:36,839 Speaker 1: to your willpower to your your problem solving ability. Let's 84 00:04:36,839 --> 00:04:38,520 Speaker 1: see what happens when we throw a chocolate cake in 85 00:04:38,560 --> 00:04:41,560 Speaker 1: your direction. Not literally, uh though that would be awesome 86 00:04:41,560 --> 00:04:43,719 Speaker 1: as well, but but we'll put it in your vicinity 87 00:04:43,720 --> 00:04:46,960 Speaker 1: and see how it affects your brain power and low behold, 88 00:04:47,040 --> 00:04:51,520 Speaker 1: it just really tinkered with people's ability to think rationally. Yeah, 89 00:04:51,520 --> 00:04:54,000 Speaker 1: because suddenly I have to at least resist it. And 90 00:04:54,080 --> 00:04:55,400 Speaker 1: in a way, it's like I have to fight that 91 00:04:55,480 --> 00:04:57,599 Speaker 1: chocolate cake. It's like it's like you're going through a 92 00:04:57,680 --> 00:05:00,160 Speaker 1: dungeon and you're trying to get to the treasure. Then 93 00:05:00,200 --> 00:05:02,280 Speaker 1: you have to fight a troll along the way. It's 94 00:05:02,320 --> 00:05:04,920 Speaker 1: the same thing, except the battles taking place inside your 95 00:05:04,920 --> 00:05:09,480 Speaker 1: mind as you try to resist the irresistible glucose temptation 96 00:05:09,560 --> 00:05:12,719 Speaker 1: of the cake. So Dannatt would say that a super 97 00:05:12,920 --> 00:05:16,400 Speaker 1: normal stimuli for cuteness, of course, would be babies. He says, 98 00:05:16,440 --> 00:05:18,560 Speaker 1: it's important that we love babies that will not be 99 00:05:18,640 --> 00:05:22,120 Speaker 1: put off by saying messy diapers. He says, so babies 100 00:05:22,160 --> 00:05:24,800 Speaker 1: have to attract our affection in our nurturing, and they do. 101 00:05:25,040 --> 00:05:26,840 Speaker 1: And so that's when you begin to really look at 102 00:05:26,839 --> 00:05:29,760 Speaker 1: not just babies, but cats and puppies and really anything 103 00:05:29,760 --> 00:05:34,520 Speaker 1: that embodies this idea of innocence and vulnerability and and 104 00:05:34,680 --> 00:05:38,159 Speaker 1: this sort of parental instinct that we'll talk a little 105 00:05:38,200 --> 00:05:41,479 Speaker 1: bit more about. But this is this idea that cats 106 00:05:41,640 --> 00:05:45,680 Speaker 1: perhaps have arrested our attention because of this instinct because 107 00:05:45,720 --> 00:05:48,200 Speaker 1: they look like babies essentially, and then play it up 108 00:05:48,200 --> 00:05:50,920 Speaker 1: to as we've discussed before, crying in a way that 109 00:05:51,040 --> 00:05:55,000 Speaker 1: mimics the cries of a baby, et cetera. Yes, now 110 00:05:55,040 --> 00:05:57,160 Speaker 1: I wanted to mention this because we are going to 111 00:05:57,240 --> 00:06:01,200 Speaker 1: go dive into this kawaii or going to dive more 112 00:06:01,320 --> 00:06:04,520 Speaker 1: into cats and the culture of cats on the internet. 113 00:06:04,560 --> 00:06:08,000 Speaker 1: But there's something called cute aggression, and I think, I 114 00:06:08,000 --> 00:06:10,720 Speaker 1: don't know, part of me is sort of, you know, 115 00:06:10,800 --> 00:06:14,000 Speaker 1: one eyebrow raised about this study and it just sounds 116 00:06:14,000 --> 00:06:17,719 Speaker 1: like a tumbler page. It's actually a study actually theory. Yeah. 117 00:06:18,000 --> 00:06:21,360 Speaker 1: So Rebecca Dyer, she's a grad student psychology at Yale University, 118 00:06:21,360 --> 00:06:24,320 Speaker 1: took one nine people and she had them look at 119 00:06:24,360 --> 00:06:28,240 Speaker 1: pictures of animals. The categories were cute, funny, and neutral 120 00:06:28,320 --> 00:06:33,080 Speaker 1: photos actually specifically of puppies, and then the participants rated 121 00:06:33,120 --> 00:06:36,200 Speaker 1: how they felt about the pictures agreeing or disagreeing with 122 00:06:36,279 --> 00:06:40,920 Speaker 1: statements like I just can't handle it, meaning the cuteness um, 123 00:06:41,360 --> 00:06:43,080 Speaker 1: or whether whether or not it made them want to 124 00:06:43,120 --> 00:06:46,440 Speaker 1: squeeze something, or if they were seized with the impulse 125 00:06:46,520 --> 00:06:50,960 Speaker 1: to vocalize after seeing one of these pictures like so cute. 126 00:06:51,360 --> 00:06:54,080 Speaker 1: So researchers found that the cute or the animal, the 127 00:06:54,160 --> 00:06:58,440 Speaker 1: more aggressive the response. Okay, okay, So now they follow 128 00:06:58,520 --> 00:07:02,440 Speaker 1: up with a non verbal study and participants. Participants are 129 00:07:02,480 --> 00:07:05,120 Speaker 1: given bubble wrap and they're told to just go to 130 00:07:05,120 --> 00:07:08,440 Speaker 1: town with it, okay, and they watch a slide show 131 00:07:08,560 --> 00:07:12,440 Speaker 1: of cute and then funny and then neutral pictures of animals, 132 00:07:12,880 --> 00:07:15,320 Speaker 1: and then lo and behold. Which you find is that 133 00:07:15,480 --> 00:07:19,880 Speaker 1: more bubbles were popped during the cute slide shows as 134 00:07:19,880 --> 00:07:23,600 Speaker 1: opposed to the funny pictures of animals or the neutral 135 00:07:23,600 --> 00:07:26,040 Speaker 1: pictures of animals. Now, the data is not that crazy. 136 00:07:26,080 --> 00:07:28,680 Speaker 1: I mean, we're talking about hundred and twenty pops for 137 00:07:28,680 --> 00:07:32,920 Speaker 1: the cuteness um, eight pops for the funny, and only 138 00:07:32,920 --> 00:07:35,360 Speaker 1: one hundred or excuse me, and one hundred for the neutral. 139 00:07:35,720 --> 00:07:39,080 Speaker 1: So you know, the data Here's not like putting this 140 00:07:39,080 --> 00:07:42,080 Speaker 1: this strong information out there to say like people are 141 00:07:42,160 --> 00:07:45,720 Speaker 1: just bursting with cute aggression. And you know, but they 142 00:07:45,720 --> 00:07:48,640 Speaker 1: are saying, Rebecca Dye or at least is saying it 143 00:07:48,720 --> 00:07:51,680 Speaker 1: could be the sort of pent up frustration at not 144 00:07:51,760 --> 00:07:54,440 Speaker 1: being able to reach through those photos and cuddle that 145 00:07:54,600 --> 00:07:57,240 Speaker 1: baby or that puppy because you just want to touch it, 146 00:07:57,280 --> 00:07:59,320 Speaker 1: you don't want to bite it. Well, and that's what 147 00:07:59,360 --> 00:08:02,200 Speaker 1: we've talked about the before. How how sometimes there are 148 00:08:02,200 --> 00:08:04,880 Speaker 1: these there are people who will say that baby is 149 00:08:04,880 --> 00:08:07,400 Speaker 1: so cute, I just want to eat it. Yeah, and 150 00:08:07,440 --> 00:08:10,120 Speaker 1: on some level, you you actually do. On some level, 151 00:08:10,200 --> 00:08:14,520 Speaker 1: you're being fooled into into equating the baby's cuteness and 152 00:08:14,560 --> 00:08:16,240 Speaker 1: the face of the baby, the shape of the baby, 153 00:08:16,600 --> 00:08:19,760 Speaker 1: the baby nous of the creature. Equating it with something 154 00:08:19,760 --> 00:08:22,400 Speaker 1: you would actually gorge on is found in the barest, 155 00:08:23,240 --> 00:08:26,840 Speaker 1: which is kind of awful. Yeah. Alright, well, on that note, 156 00:08:26,840 --> 00:08:29,360 Speaker 1: maybe we should take a break here and when we 157 00:08:29,400 --> 00:08:39,760 Speaker 1: get back we'll get more into this idea of quite 158 00:08:40,960 --> 00:08:43,480 Speaker 1: all right, we're back. You know, another thing about that study, 159 00:08:43,840 --> 00:08:46,480 Speaker 1: I had never heard of a study using the bubble 160 00:08:46,520 --> 00:08:50,360 Speaker 1: wrap uh method before. I really hope that become standardized 161 00:08:50,400 --> 00:08:52,960 Speaker 1: to the point where we see movies about serial killers 162 00:08:53,240 --> 00:08:55,600 Speaker 1: where like a potential serial killer is being forced to 163 00:08:55,679 --> 00:08:58,240 Speaker 1: look at, you know, accident photos gets a rise out 164 00:08:58,240 --> 00:08:59,880 Speaker 1: of him. And so it's like, you know, and Anthony 165 00:09:00,000 --> 00:09:02,480 Speaker 1: Hopkins Hannibal like characters sitting there with the grim face, 166 00:09:02,520 --> 00:09:05,240 Speaker 1: watching grim footage and then popping bubble rap, and it 167 00:09:05,320 --> 00:09:07,680 Speaker 1: just becomes really so much a part of how we 168 00:09:07,720 --> 00:09:11,560 Speaker 1: determine unconscious thoughts that even the CIA begins to use it, right, 169 00:09:11,840 --> 00:09:15,320 Speaker 1: just just orders with like vast reams of the stuff. Yeah, 170 00:09:15,559 --> 00:09:18,280 Speaker 1: and then people are probably more willing participants because who 171 00:09:18,320 --> 00:09:21,040 Speaker 1: doesn't love to pop bubble wrap? Everyone? Everyone loves it, 172 00:09:21,080 --> 00:09:25,559 Speaker 1: even dogs love it. Sure it's not as fine, all right. Kawaii. 173 00:09:25,760 --> 00:09:28,000 Speaker 1: Um we we touched on it at the beginning of 174 00:09:28,080 --> 00:09:30,760 Speaker 1: the episode, but I kind of see it. This is 175 00:09:30,920 --> 00:09:33,400 Speaker 1: very reductionist because it really we could do an entire 176 00:09:33,480 --> 00:09:36,719 Speaker 1: podcast on Japanese culture in kawaii, but um, it's sort 177 00:09:36,720 --> 00:09:41,040 Speaker 1: of this Hello Kitty ization is certainly the the easiest 178 00:09:41,280 --> 00:09:45,920 Speaker 1: example and certainly the most widespread example of of Japanese 179 00:09:45,920 --> 00:09:50,400 Speaker 1: culture Kawaii cute culture because it's it's everywhere now, and 180 00:09:50,440 --> 00:09:52,920 Speaker 1: it's it's it's the big eyes, it's the cute creature 181 00:09:53,320 --> 00:09:55,960 Speaker 1: and it and it also has this sort of Japanese 182 00:09:56,000 --> 00:09:59,199 Speaker 1: school girl quality to it. And then that's, according to 183 00:09:59,600 --> 00:10:03,680 Speaker 1: some cultural historians, that's kind of the the origin of 184 00:10:03,760 --> 00:10:07,400 Speaker 1: the Kauaii movement in Japan anyway, that it you go 185 00:10:07,400 --> 00:10:09,920 Speaker 1: back to the nineteen seventies, you find this kitten writing, 186 00:10:10,040 --> 00:10:14,000 Speaker 1: this cute handwriting they call it among schools, right because 187 00:10:14,040 --> 00:10:16,400 Speaker 1: it wasn't really all that readaful. I mean, it got, 188 00:10:16,559 --> 00:10:18,960 Speaker 1: you know, to the point where it's just big round 189 00:10:19,080 --> 00:10:22,200 Speaker 1: characters and faces and stars and uh and the and 190 00:10:22,280 --> 00:10:24,480 Speaker 1: the teacher who was saying, no, this is not actual writing. 191 00:10:24,840 --> 00:10:26,800 Speaker 1: But then it blows up. It starts showing up in 192 00:10:26,880 --> 00:10:28,880 Speaker 1: comic I mean not in common boost been magazines, but 193 00:10:28,880 --> 00:10:33,520 Speaker 1: then ultimately in Magna and other forms, and eventually becomes 194 00:10:33,520 --> 00:10:36,000 Speaker 1: this huge industry with stuff like Hello Kitty, which is 195 00:10:36,040 --> 00:10:39,040 Speaker 1: just all over the world and and and attached to 196 00:10:39,080 --> 00:10:42,000 Speaker 1: so many different products. Yeah, and if you look really 197 00:10:42,040 --> 00:10:44,959 Speaker 1: deeply into kauai, you will begin to see that it's 198 00:10:45,000 --> 00:10:48,640 Speaker 1: not just the products the clothing, um even food items, 199 00:10:48,720 --> 00:10:50,800 Speaker 1: or even some of the logos that are on airplanes 200 00:10:50,960 --> 00:10:56,480 Speaker 1: in some um government entities, but it's also behavior and 201 00:10:56,520 --> 00:11:00,920 Speaker 1: mannerism among both genders. And it really is this preoccupation 202 00:11:01,080 --> 00:11:06,319 Speaker 1: with um not just cuteness, but youth and innocence. So 203 00:11:06,480 --> 00:11:08,920 Speaker 1: it's this, uh, sort of an arrested development. I look 204 00:11:08,920 --> 00:11:11,120 Speaker 1: at it that way, not the TV show, but in 205 00:11:11,200 --> 00:11:15,600 Speaker 1: terms of, you know, trying to stave off aging and 206 00:11:15,840 --> 00:11:19,920 Speaker 1: all of the sort of responsibility and perhaps the less 207 00:11:19,960 --> 00:11:23,960 Speaker 1: fun aspects of life as you get older. Yeah, and 208 00:11:24,000 --> 00:11:27,080 Speaker 1: then probably encapsulates a lot of nostalgia as well, because 209 00:11:27,120 --> 00:11:29,960 Speaker 1: you grow older, you end up still catching attaching these 210 00:11:30,000 --> 00:11:34,040 Speaker 1: cute icons in this qualification of just about every aspect 211 00:11:34,040 --> 00:11:36,559 Speaker 1: of life, and therefore you keep it kind of tethered 212 00:11:36,720 --> 00:11:39,400 Speaker 1: to youth and tethered to youth culture. You know what's 213 00:11:39,400 --> 00:11:42,720 Speaker 1: interesting about that too, is that if you seize onto 214 00:11:42,720 --> 00:11:44,880 Speaker 1: this idea of kai and you see them to this 215 00:11:45,000 --> 00:11:49,240 Speaker 1: idea of embodying these aspects of cuteness and big eidness 216 00:11:49,320 --> 00:11:53,280 Speaker 1: and innocence, then perhaps in a way you're thinking to 217 00:11:53,360 --> 00:11:56,720 Speaker 1: yourself on a subconscious level, at least you know, I 218 00:11:56,720 --> 00:11:59,520 Speaker 1: will be more protected out there in society, which then 219 00:11:59,559 --> 00:12:02,319 Speaker 1: brings up this whole idea of you know, how do 220 00:12:02,360 --> 00:12:06,160 Speaker 1: we really how much of this parental response is responsible 221 00:12:06,200 --> 00:12:09,480 Speaker 1: for our behavior in the way that we interact with 222 00:12:09,520 --> 00:12:13,240 Speaker 1: things that are cute. Now, another bit of Japanese cuteness 223 00:12:13,280 --> 00:12:16,600 Speaker 1: that instantly comes to mind is the the lucky cat. 224 00:12:17,200 --> 00:12:19,760 Speaker 1: If you find all you find it all over Asia, 225 00:12:19,760 --> 00:12:22,120 Speaker 1: and you you find it increasingly everywhere in the United 226 00:12:22,120 --> 00:12:24,320 Speaker 1: States as well. Of course, the little generally like a 227 00:12:24,360 --> 00:12:29,520 Speaker 1: gold plastic cat, big eyes and it's it's waving its 228 00:12:29,520 --> 00:12:33,480 Speaker 1: little paw in the air. Uh. These are officially called 229 00:12:33,720 --> 00:12:37,320 Speaker 1: maneki nicko or beckoning cats. And I was looking up 230 00:12:37,360 --> 00:12:39,040 Speaker 1: some stuff back because I'm well, how does that tie 231 00:12:39,040 --> 00:12:43,040 Speaker 1: into cute culture? Because as I suspected, that's older in 232 00:12:43,080 --> 00:12:45,680 Speaker 1: its roots than the Hello Kitty. It dates back to 233 00:12:45,760 --> 00:12:48,640 Speaker 1: the the Edo period, which was between a sixteen o 234 00:12:48,760 --> 00:12:51,600 Speaker 1: three and eighteen sixties seven. Uh, And you know, it's 235 00:12:51,600 --> 00:12:54,160 Speaker 1: just sort of picked up steam over time. So even 236 00:12:54,160 --> 00:12:57,400 Speaker 1: though we look at the kitten writing in the seventies 237 00:12:57,720 --> 00:12:59,959 Speaker 1: and and the rise of Hello Kitty is sort of 238 00:13:00,080 --> 00:13:04,800 Speaker 1: the real um pivotal aspects of Hawaii, I feel like 239 00:13:04,800 --> 00:13:07,840 Speaker 1: that the roots were already there, if if nowhere else 240 00:13:07,960 --> 00:13:11,000 Speaker 1: in the presence of cats. I think you're right now. 241 00:13:11,040 --> 00:13:13,520 Speaker 1: I have this idea of you know, the thousands of 242 00:13:13,600 --> 00:13:15,680 Speaker 1: years from now, well people look back at you know, 243 00:13:15,720 --> 00:13:18,080 Speaker 1: sort of a saying, oh, the Ming dynasty thing, you know, 244 00:13:18,160 --> 00:13:21,720 Speaker 1: the rise of the Hello Kiddy dynasty, Because that really 245 00:13:21,880 --> 00:13:24,839 Speaker 1: is how pervasive kauai is. And I think in the 246 00:13:24,920 --> 00:13:29,360 Speaker 1: United States here were we have flavors of it um 247 00:13:29,440 --> 00:13:31,360 Speaker 1: and you know, just look around, as you say, like, 248 00:13:31,520 --> 00:13:33,040 Speaker 1: you know, we look around our office and we can 249 00:13:33,080 --> 00:13:36,720 Speaker 1: see that it's it's um interwoven into the way that 250 00:13:36,760 --> 00:13:39,840 Speaker 1: we decorate or we perceive certain aspects we have our life. 251 00:13:39,880 --> 00:13:43,160 Speaker 1: At least two adult members of the staff who are 252 00:13:43,200 --> 00:13:48,319 Speaker 1: Disney fanatics, and there's a lot of kauai tied up there. 253 00:13:48,600 --> 00:13:50,439 Speaker 1: And again, just about every other death has some sort 254 00:13:50,480 --> 00:13:52,600 Speaker 1: of token, some sort of little bit of kauai. I 255 00:13:52,600 --> 00:13:54,319 Speaker 1: feel like if you look closely enough, if you root 256 00:13:54,360 --> 00:13:56,280 Speaker 1: through their stuff, I mean really get in there and 257 00:13:56,320 --> 00:13:59,480 Speaker 1: in their privacy, you'll find some bit of cute that 258 00:13:59,679 --> 00:14:02,400 Speaker 1: is keeping them going. And that sounds kind of specific. 259 00:14:02,880 --> 00:14:05,760 Speaker 1: What have you found? Oh, all sorts of stuff. I'll 260 00:14:05,760 --> 00:14:08,319 Speaker 1: show you later. I have a box. Okay, So you're 261 00:14:08,320 --> 00:14:11,280 Speaker 1: probably wondering to yourself, are there any studies that can 262 00:14:11,320 --> 00:14:14,080 Speaker 1: support this cuteness, that can kind of give us a 263 00:14:14,120 --> 00:14:17,000 Speaker 1: better idea of why we react to this stuff the 264 00:14:17,000 --> 00:14:19,560 Speaker 1: way we do. Of course there is because you know 265 00:14:19,600 --> 00:14:22,400 Speaker 1: what we're talking about cute. We're talking about the way 266 00:14:22,440 --> 00:14:25,120 Speaker 1: that of kitten's face is cute to us because it 267 00:14:25,240 --> 00:14:28,800 Speaker 1: is reminiscent of the baby's face. And then what happens 268 00:14:28,800 --> 00:14:30,880 Speaker 1: when we look at the baby, right, that's the question. Well, 269 00:14:30,920 --> 00:14:32,240 Speaker 1: there have been studies that have looked at that. We 270 00:14:32,320 --> 00:14:34,960 Speaker 1: have the technology, of course to look inside the brain 271 00:14:35,040 --> 00:14:37,560 Speaker 1: to see how what kind of neural activity is going 272 00:14:37,560 --> 00:14:40,800 Speaker 1: on when we do different things. And there was there's 273 00:14:40,840 --> 00:14:43,320 Speaker 1: one particular study that we're looking at here, uh and 274 00:14:43,360 --> 00:14:45,880 Speaker 1: this was this involved the use of a meg scanner 275 00:14:46,600 --> 00:14:49,080 Speaker 1: and they were looking at parental responses to both puppy 276 00:14:49,120 --> 00:14:55,200 Speaker 1: faces and baby faces and then unfamiliar adult faces. Right, yes, Okay. 277 00:14:55,400 --> 00:14:58,840 Speaker 1: The really startling thing about this study is that when 278 00:14:59,360 --> 00:15:03,040 Speaker 1: participants looking at all of these pictures within one seventh 279 00:15:03,040 --> 00:15:06,680 Speaker 1: of a second, just a split second, literally, the medial 280 00:15:06,880 --> 00:15:10,080 Speaker 1: orbital frontal cortex, which is involved in emotional responses, lit 281 00:15:10,160 --> 00:15:12,600 Speaker 1: up like a pinball machine when people look at infant 282 00:15:12,640 --> 00:15:16,160 Speaker 1: and puppy faces, but was pretty, you know, relatively silent 283 00:15:16,720 --> 00:15:20,720 Speaker 1: when adult faces showed up. So kringele Bach Morton Kringelbach, 284 00:15:20,920 --> 00:15:25,320 Speaker 1: who ran the study calls this the parental instinct, and 285 00:15:25,400 --> 00:15:28,520 Speaker 1: he says these responses are almost certainly too fast to 286 00:15:28,560 --> 00:15:31,840 Speaker 1: be consciously controlled and are therefore perhaps instinctive. That's his 287 00:15:31,960 --> 00:15:34,680 Speaker 1: idea about it. Yeah, because we're talking about middleseconds here. 288 00:15:34,720 --> 00:15:37,760 Speaker 1: We're talking about just an instant of seeing that baby face, 289 00:15:37,800 --> 00:15:41,840 Speaker 1: that puppy face, and you are suddenly pacified. You suddenly 290 00:15:42,040 --> 00:15:46,000 Speaker 1: you're maybe put out of an aggressive spirit or irritated spirit, 291 00:15:46,200 --> 00:15:49,320 Speaker 1: and you have to somehow help the poor larval human 292 00:15:49,480 --> 00:15:51,560 Speaker 1: or dog. Yeah. And the thing is that it even 293 00:15:51,600 --> 00:15:55,680 Speaker 1: goes beyond visual processing, because people who are blowing from 294 00:15:55,760 --> 00:15:58,600 Speaker 1: birth have the same areas activated in their brains when 295 00:15:58,640 --> 00:16:02,040 Speaker 1: they hear the name of animals. So the concept of 296 00:16:02,080 --> 00:16:04,720 Speaker 1: animals or how we've painted them and language just goes 297 00:16:04,880 --> 00:16:09,400 Speaker 1: far beyond just pictures. Here. The idea is really standing 298 00:16:09,440 --> 00:16:13,360 Speaker 1: in for um, the experience. So that study makes a 299 00:16:13,360 --> 00:16:15,160 Speaker 1: lot of sense. I mean again, it just ties in 300 00:16:15,200 --> 00:16:17,600 Speaker 1: directly to the way we look at look at an infant, 301 00:16:17,600 --> 00:16:20,120 Speaker 1: at a kitten, at a puppy and uh and and 302 00:16:20,160 --> 00:16:22,400 Speaker 1: how we instantly want to care for it on some level. 303 00:16:22,560 --> 00:16:24,760 Speaker 1: And I feel like we all buy into that really easily. 304 00:16:24,960 --> 00:16:29,080 Speaker 1: But here's another idea that two twelve Japanese study looked at, 305 00:16:29,120 --> 00:16:32,200 Speaker 1: and this one was published in the Plos One. They 306 00:16:32,200 --> 00:16:34,320 Speaker 1: were asking, well, if I look at something cute, how 307 00:16:34,360 --> 00:16:39,040 Speaker 1: does it affect my attentiveness? Which which that question makes 308 00:16:39,040 --> 00:16:41,040 Speaker 1: me think of all these things that we were We 309 00:16:41,080 --> 00:16:44,440 Speaker 1: surround ourselves with these icons of cute, Like the cute 310 00:16:44,480 --> 00:16:46,200 Speaker 1: little lamp that I have on my desk. It's like 311 00:16:46,200 --> 00:16:48,760 Speaker 1: a little face um that I got an I kea 312 00:16:48,880 --> 00:16:51,760 Speaker 1: years ago. What happens when I look at that? Is 313 00:16:51,800 --> 00:16:54,840 Speaker 1: it making me more relax? Is it making me more atentive? 314 00:16:54,920 --> 00:16:56,880 Speaker 1: Is it a just a distraction? Is all this cutest 315 00:16:56,880 --> 00:17:00,240 Speaker 1: a distraction? Well, in this study they looked into this. 316 00:17:00,640 --> 00:17:04,879 Speaker 1: They took participants and they viewed animal images and then 317 00:17:04,720 --> 00:17:07,560 Speaker 1: they tested them to see how they performed on various tasks, 318 00:17:08,119 --> 00:17:11,120 Speaker 1: and they found that participants who viewed infant animal images, 319 00:17:11,280 --> 00:17:14,119 Speaker 1: ones that were rated particularly cute, they were able to 320 00:17:14,160 --> 00:17:17,200 Speaker 1: perform pass better than those who viewed images of boring 321 00:17:17,240 --> 00:17:22,000 Speaker 1: adult animals. So it's interesting, right, because you're like, well, 322 00:17:22,400 --> 00:17:24,800 Speaker 1: is it really possible that if I look at a 323 00:17:24,840 --> 00:17:27,200 Speaker 1: cute object or a cute picture that I'll be able 324 00:17:27,240 --> 00:17:32,320 Speaker 1: to better? You know, concentrate on the task before me. 325 00:17:32,600 --> 00:17:35,440 Speaker 1: But I would indeed hang in there as the cute 326 00:17:35,480 --> 00:17:38,840 Speaker 1: cat hanging from the branch. I would want to to 327 00:17:38,840 --> 00:17:40,760 Speaker 1: to convey to you. I like, how you get that? 328 00:17:41,200 --> 00:17:44,080 Speaker 1: That was nice stuff? Um. But the thing is is 329 00:17:44,119 --> 00:17:47,840 Speaker 1: that each group of participants consisted of less than fifty 330 00:17:47,920 --> 00:17:50,159 Speaker 1: university students, and I think they did three different versions 331 00:17:50,440 --> 00:17:53,919 Speaker 1: of these attention tests. And then all of these fifty 332 00:17:54,200 --> 00:17:57,679 Speaker 1: university students were between the ages of eighteen and twenty two. 333 00:17:58,200 --> 00:18:01,240 Speaker 1: And so this is also taking play in Japanese culture, 334 00:18:01,320 --> 00:18:05,879 Speaker 1: where you know that the kawaii effect is much more pronounced, 335 00:18:06,400 --> 00:18:09,879 Speaker 1: which leads some people to say, perhaps there's not really 336 00:18:09,960 --> 00:18:15,320 Speaker 1: that much evidence here that cuteness could bolster your attentiveness. Yeah, 337 00:18:15,320 --> 00:18:17,280 Speaker 1: because if this held true, you would just want to 338 00:18:17,640 --> 00:18:21,480 Speaker 1: cuteify everything. You'd want a little cute faces and animals 339 00:18:21,640 --> 00:18:24,840 Speaker 1: just crawling all over just everything in your work life, 340 00:18:24,880 --> 00:18:27,640 Speaker 1: everything at home, just until you're just there's just an 341 00:18:27,680 --> 00:18:31,240 Speaker 1: overdose of cute all the time, just to keep you attentive. 342 00:18:32,160 --> 00:18:34,200 Speaker 1: And I have to say that might be distracting at 343 00:18:34,200 --> 00:18:38,919 Speaker 1: that point. Yeah, alright, so what about cuteness and a robot? 344 00:18:38,920 --> 00:18:42,080 Speaker 1: And I'm not talking about you, Arnie. Sorry, but I'm 345 00:18:42,080 --> 00:18:45,840 Speaker 1: talking about Kismut the robot. And we've actually met Kismut 346 00:18:46,040 --> 00:18:49,560 Speaker 1: before here on, at least in the episodes that we've described. 347 00:18:49,800 --> 00:18:52,919 Speaker 1: Kismutt is robot that has been used at M I 348 00:18:52,960 --> 00:18:55,919 Speaker 1: T and it is used to figure out sort of 349 00:18:55,920 --> 00:19:01,120 Speaker 1: the psychological ramifications of interactions between humans and robots, specifically children. 350 00:19:01,520 --> 00:19:06,359 Speaker 1: It kind of looks like a skinless robot Magua or Furby. Yeah, yeah, 351 00:19:06,359 --> 00:19:10,159 Speaker 1: Ferby definitely. It's got the furry ears, it's got huge eyes, 352 00:19:10,760 --> 00:19:14,240 Speaker 1: and it can make a lot of distinctive um faces 353 00:19:14,280 --> 00:19:17,280 Speaker 1: that that interact with the person. Yeah, and it works. Uh. 354 00:19:17,920 --> 00:19:20,680 Speaker 1: I think it works really well because it's not it's 355 00:19:20,680 --> 00:19:23,200 Speaker 1: not an attempted to human face, so you don't actually 356 00:19:23,320 --> 00:19:27,000 Speaker 1: get into that possibility of uncanny Valley. It's instead this 357 00:19:27,160 --> 00:19:30,600 Speaker 1: this non human but but it that it has human 358 00:19:30,680 --> 00:19:33,800 Speaker 1: qualities to it, and then it is successfully making all 359 00:19:33,840 --> 00:19:37,520 Speaker 1: these various faces and conveying emotion. At the bottom of this, 360 00:19:37,640 --> 00:19:40,760 Speaker 1: there's just cuteness. That's what reigns supreme about this robot 361 00:19:41,280 --> 00:19:44,320 Speaker 1: um other than its ability to interact with humans. So 362 00:19:44,800 --> 00:19:47,000 Speaker 1: what do you do? You take this robot and you 363 00:19:47,119 --> 00:19:50,800 Speaker 1: insert it into a study, which is headed up by 364 00:19:50,880 --> 00:19:54,399 Speaker 1: Terry Burnham at Harvard University along with Brian Hair. They 365 00:19:54,520 --> 00:19:58,480 Speaker 1: pitted nine volunteers against each other anonymously in games where 366 00:19:58,760 --> 00:20:00,879 Speaker 1: they had to donate money or withhold. It's sort of 367 00:20:00,880 --> 00:20:03,800 Speaker 1: the classic scenario we've seen over and over again. They 368 00:20:03,800 --> 00:20:06,200 Speaker 1: can donate it into a communal pot and that would 369 00:20:06,280 --> 00:20:09,040 Speaker 1: yield the most money, but only if other people donated 370 00:20:09,080 --> 00:20:12,360 Speaker 1: to So the researchers split the group into two. Half 371 00:20:12,440 --> 00:20:15,360 Speaker 1: made their choices undisturbed at computer screens, while the other 372 00:20:15,440 --> 00:20:20,639 Speaker 1: half were faced with the photo of this absolute adorable kisman. Now, 373 00:20:20,680 --> 00:20:25,280 Speaker 1: the players who gazed at Kismut gave thirty more to 374 00:20:25,320 --> 00:20:27,879 Speaker 1: the pot than others, and Vernam and Hare believed that 375 00:20:27,920 --> 00:20:31,400 Speaker 1: at some subconscious level they were aware of being watched, 376 00:20:31,480 --> 00:20:34,280 Speaker 1: or they sort of took that as being watched just 377 00:20:34,359 --> 00:20:38,280 Speaker 1: looking at this photo. Um, but it may have something 378 00:20:38,320 --> 00:20:41,720 Speaker 1: also to do with our brain kind of carrying out 379 00:20:41,720 --> 00:20:46,040 Speaker 1: this decision making with this cute, this representation of cuteness 380 00:20:46,080 --> 00:20:48,399 Speaker 1: in front of us. Yeah, because how hard and selfish 381 00:20:48,440 --> 00:20:50,640 Speaker 1: can you be in the presence of like a really 382 00:20:50,680 --> 00:20:53,399 Speaker 1: cute kitten or an adorable baby. Not so much in 383 00:20:53,600 --> 00:20:56,000 Speaker 1: even in the processing of it of thinking thinking, oh, 384 00:20:56,080 --> 00:20:57,880 Speaker 1: this is cute, and you know that melts my heart 385 00:20:57,880 --> 00:21:00,639 Speaker 1: a little bit. But in that those micro sect that 386 00:21:00,680 --> 00:21:04,400 Speaker 1: we talked about, of seeing this cute image and that, 387 00:21:05,000 --> 00:21:07,359 Speaker 1: you know, against every fiber in your your your body, 388 00:21:07,400 --> 00:21:10,080 Speaker 1: any defense you may have you may have up against 389 00:21:10,080 --> 00:21:12,400 Speaker 1: that cuteness and against the idea of giving your money 390 00:21:12,440 --> 00:21:15,959 Speaker 1: away or or or or letting your your temper go 391 00:21:16,040 --> 00:21:18,159 Speaker 1: down a bit, it kind of creeps in past all 392 00:21:18,160 --> 00:21:21,840 Speaker 1: those defenses and deactivates you. Well, what I love too, 393 00:21:22,000 --> 00:21:26,399 Speaker 1: is this idea that you could manipulate altruistic behavior with 394 00:21:26,480 --> 00:21:29,680 Speaker 1: a pair of fake eyeballs, right just staring at you, 395 00:21:30,359 --> 00:21:34,800 Speaker 1: adorable fake eyeballs. All right, Well, we're gonna take one 396 00:21:34,800 --> 00:21:37,040 Speaker 1: more break, and when we come back, we're gonna talk 397 00:21:37,040 --> 00:21:39,119 Speaker 1: a little bit more about Kauai and a little bit 398 00:21:39,160 --> 00:21:51,880 Speaker 1: more about cats. All right, we're back. Okay. So there 399 00:21:52,000 --> 00:21:55,840 Speaker 1: is a wonderful article from Wired magazine called In Search 400 00:21:55,920 --> 00:21:59,280 Speaker 1: of the Living, purring, singing Heart of the Online Cat 401 00:21:59,359 --> 00:22:04,320 Speaker 1: Industrial Complex. Uh. The author, Gideon Lewis Krause, cites a 402 00:22:04,359 --> 00:22:08,280 Speaker 1: couple of different studies to try to explain why cats 403 00:22:08,520 --> 00:22:11,280 Speaker 1: rule the Internet. And it's very interesting. Yeah, it is 404 00:22:11,320 --> 00:22:15,240 Speaker 1: a very long discussion of the power of cats, the 405 00:22:15,240 --> 00:22:18,000 Speaker 1: power of feelines, but it is I would say it's 406 00:22:18,080 --> 00:22:20,880 Speaker 1: must read for anyone who is a self aware cat 407 00:22:20,960 --> 00:22:24,919 Speaker 1: person because she really gets into how we interact with 408 00:22:24,960 --> 00:22:28,640 Speaker 1: the feelines, how the feelines to limited extent and interact 409 00:22:28,680 --> 00:22:32,840 Speaker 1: with us, and how this becomes a metaphor for the 410 00:22:32,880 --> 00:22:35,840 Speaker 1: way we approach life itself. Yeah, and if you're very 411 00:22:35,840 --> 00:22:38,520 Speaker 1: interested in Japanese culture, this is also a great way 412 00:22:38,560 --> 00:22:41,480 Speaker 1: to sort of plunge in and see how that's played out. 413 00:22:42,240 --> 00:22:45,119 Speaker 1: The first study that was mentioned in this article is 414 00:22:45,119 --> 00:22:47,880 Speaker 1: a study of internet habits of two hundred and six 415 00:22:47,960 --> 00:22:50,640 Speaker 1: teams or a University of Science and Technology students. Now 416 00:22:51,760 --> 00:22:54,800 Speaker 1: of these students were deemed depressed after they were being 417 00:22:55,560 --> 00:22:58,199 Speaker 1: after they were surveyed, so there's this sort of you know, 418 00:22:58,400 --> 00:23:02,840 Speaker 1: pat standard survey to assess levels of depression that was 419 00:23:03,000 --> 00:23:05,320 Speaker 1: administered to them. So they figured out that, you know, 420 00:23:05,400 --> 00:23:09,200 Speaker 1: within the sample size of these people are depressed. So 421 00:23:09,320 --> 00:23:13,320 Speaker 1: they found two things in this Internet usage UM. By 422 00:23:13,320 --> 00:23:17,399 Speaker 1: the way, they also had access to the amount of 423 00:23:17,800 --> 00:23:21,800 Speaker 1: UM activity they had online, not specifically what sights they 424 00:23:21,800 --> 00:23:24,960 Speaker 1: went to, but the kind of activity like for instance, 425 00:23:25,200 --> 00:23:29,280 Speaker 1: file sharing, checking their email, surfing, the way of looking 426 00:23:29,320 --> 00:23:33,240 Speaker 1: at images, looking at videos. Yeah, and so to findings 427 00:23:33,240 --> 00:23:37,720 Speaker 1: in general, the more participant score on the survey indicated depression, 428 00:23:37,760 --> 00:23:41,040 Speaker 1: the more his or her Internet usage included, uh, those 429 00:23:41,080 --> 00:23:43,280 Speaker 1: features as you say. So there was a lot of 430 00:23:43,280 --> 00:23:47,880 Speaker 1: file sharing, high levels of that, especially with music and movies. 431 00:23:48,400 --> 00:23:51,480 Speaker 1: And second, they found patterns of Internet usage that were 432 00:23:51,520 --> 00:23:55,880 Speaker 1: statistically high among people with depressive symptoms compared with those 433 00:23:55,880 --> 00:23:59,480 Speaker 1: without the symptoms. So, for example, people with depressive symptoms 434 00:23:59,680 --> 00:24:03,840 Speaker 1: tend to engage in a lot of email usage, so 435 00:24:03,960 --> 00:24:07,080 Speaker 1: they were sending emails right and left and um. This 436 00:24:07,200 --> 00:24:10,760 Speaker 1: correlated with some research that was done by psychologist Janet 437 00:24:10,840 --> 00:24:15,520 Speaker 1: Moorehan Martin, and Phyllis Schumacher. They found that frequent checking 438 00:24:15,520 --> 00:24:19,080 Speaker 1: of email rate may relate to high levels of anxiety, 439 00:24:19,200 --> 00:24:23,280 Speaker 1: and then of course that correlates to depressive symptoms. Well, 440 00:24:23,320 --> 00:24:25,040 Speaker 1: I can definitely see where checking your email all the 441 00:24:25,040 --> 00:24:28,840 Speaker 1: time would be depressing, because that's where we get our 442 00:24:28,840 --> 00:24:31,320 Speaker 1: bills these days. That's where bad news is just as 443 00:24:31,359 --> 00:24:33,720 Speaker 1: likely to come in via email as it is to 444 00:24:33,720 --> 00:24:35,800 Speaker 1: come in over the phone. Yeah, and I think it's 445 00:24:35,840 --> 00:24:38,520 Speaker 1: you know, just the the act doing that over and 446 00:24:38,600 --> 00:24:43,800 Speaker 1: over again, sort of bullies. This underlying anxiety, Yes, that 447 00:24:44,000 --> 00:24:46,320 Speaker 1: is at the root of all of this, and so, um, 448 00:24:46,320 --> 00:24:47,959 Speaker 1: the study is really interesting. I won't go into all 449 00:24:47,960 --> 00:24:52,400 Speaker 1: the different points that correlated with depressive symptoms, but those 450 00:24:52,400 --> 00:24:55,359 Speaker 1: are just a couple of the highlights. Um. Lewis Crofts, 451 00:24:55,440 --> 00:24:58,120 Speaker 1: the the author of this article I'm Wired, then looked 452 00:24:58,160 --> 00:25:00,560 Speaker 1: at this other study because he felt like these two 453 00:25:00,640 --> 00:25:04,040 Speaker 1: kind of dovetailed together really nicely. Because first you have 454 00:25:04,160 --> 00:25:06,920 Speaker 1: the study of just you know, if you're if you're depressive, 455 00:25:06,960 --> 00:25:10,480 Speaker 1: then perhaps you're a higher user of the Internet, or 456 00:25:10,600 --> 00:25:15,080 Speaker 1: you you're watching more videos and possibly suggested in this article, 457 00:25:15,400 --> 00:25:17,320 Speaker 1: you're seeking out more cat videos. You're seeing now more 458 00:25:17,320 --> 00:25:20,640 Speaker 1: cute videos. Are You're going to cute overload to get 459 00:25:20,680 --> 00:25:24,920 Speaker 1: that dose of cute fluffiness into your life. So he says, 460 00:25:25,000 --> 00:25:27,159 Speaker 1: you know that they did not know what exactly the 461 00:25:27,200 --> 00:25:29,840 Speaker 1: content was, but you know, it stands to reason that 462 00:25:29,880 --> 00:25:32,439 Speaker 1: cats would be part of some of that, all right. 463 00:25:32,520 --> 00:25:35,760 Speaker 1: So the second study, which is called Factors Influencing the 464 00:25:35,760 --> 00:25:39,840 Speaker 1: Temporal Patterns of dietic behaviors and Interactions between domestic cats 465 00:25:39,840 --> 00:25:43,960 Speaker 1: and their owners. The conclusion quote that the higher the 466 00:25:44,000 --> 00:25:47,280 Speaker 1: proportion of all successful intents to interact with the cat 467 00:25:47,400 --> 00:25:49,480 Speaker 1: that were due to the cat. The longer was the 468 00:25:49,560 --> 00:25:52,320 Speaker 1: duration of the interactions. So he says that, in other words, 469 00:25:52,320 --> 00:25:55,399 Speaker 1: your cat will like you best if you pretend that 470 00:25:55,520 --> 00:25:58,720 Speaker 1: you don't desperately want to play with it. I love 471 00:25:58,800 --> 00:26:02,639 Speaker 1: this study even has not one a prize with the 472 00:26:02,640 --> 00:26:05,960 Speaker 1: ignobles it should. I mean, it's a very interesting study 473 00:26:05,960 --> 00:26:09,480 Speaker 1: and a revealing study, but it reveals something that scientifically 474 00:26:09,520 --> 00:26:12,160 Speaker 1: that cat owners pretty much already know that. You bring 475 00:26:12,240 --> 00:26:15,160 Speaker 1: somebody into the house who's allergic to the cat, who 476 00:26:15,280 --> 00:26:18,040 Speaker 1: who who does not like the cat, That's who the 477 00:26:18,080 --> 00:26:20,440 Speaker 1: cat is going to insist on walking on and climbing 478 00:26:20,520 --> 00:26:23,080 Speaker 1: up on and rubbing against and everything else under the sun. 479 00:26:23,440 --> 00:26:27,160 Speaker 1: You bring in a toddler who wants nothing more than 480 00:26:27,200 --> 00:26:29,520 Speaker 1: to pet the cat for hours and hours on end, 481 00:26:30,000 --> 00:26:32,040 Speaker 1: the cat is going to avoid that child like the plague. 482 00:26:32,160 --> 00:26:34,480 Speaker 1: That's right, and it's great that there's finally a study 483 00:26:34,520 --> 00:26:37,399 Speaker 1: that says this is this is what's happening here, because 484 00:26:37,440 --> 00:26:40,200 Speaker 1: all of us have suspected it. Um. The other part 485 00:26:40,240 --> 00:26:42,399 Speaker 1: of the study was that the more neurotic cat owner, 486 00:26:42,440 --> 00:26:45,280 Speaker 1: the more desperate for fuzzy comfort and nesley security and 487 00:26:45,359 --> 00:26:48,320 Speaker 1: unconditional affection, which is essentially what we were just talking about. 488 00:26:48,480 --> 00:26:51,080 Speaker 1: And then of course the brief of the interactions. So 489 00:26:51,480 --> 00:26:53,960 Speaker 1: I think it's just important to state that as the 490 00:26:54,000 --> 00:26:57,960 Speaker 1: owner and and and the cat that dynamic because Lewis 491 00:26:58,040 --> 00:27:00,000 Speaker 1: Kraft says, hey, what do we do on the interner 492 00:27:00,040 --> 00:27:02,240 Speaker 1: that all day long we like things and then we 493 00:27:02,359 --> 00:27:04,360 Speaker 1: sit around and we wait for things that we do 494 00:27:04,440 --> 00:27:07,480 Speaker 1: to be liked, And he says that we check all 495 00:27:07,480 --> 00:27:10,720 Speaker 1: the analytics and all the retreats, and this is where 496 00:27:10,720 --> 00:27:16,280 Speaker 1: those cats come in, because cats essentially are us trying 497 00:27:16,320 --> 00:27:20,680 Speaker 1: to gain approval. Yes, so there is huge symbol of 498 00:27:20,720 --> 00:27:23,760 Speaker 1: these interactions that we have between us. Yeah, when the 499 00:27:23,800 --> 00:27:26,400 Speaker 1: cat shows you attention, you have you sort of won 500 00:27:26,480 --> 00:27:29,200 Speaker 1: that attention. You have to you have to continually rewin 501 00:27:29,400 --> 00:27:31,960 Speaker 1: that cat's attention because otherwise, because at any given point 502 00:27:32,000 --> 00:27:33,640 Speaker 1: a day, okay will be like, hey, I really want 503 00:27:33,640 --> 00:27:35,359 Speaker 1: to leave the house and never see you again. Is 504 00:27:35,359 --> 00:27:37,760 Speaker 1: that cool? Uh? And then I will happen if you 505 00:27:37,800 --> 00:27:39,720 Speaker 1: allow it to. And then if the cat remains in 506 00:27:39,720 --> 00:27:41,240 Speaker 1: your house, you have to you have to sort of 507 00:27:41,359 --> 00:27:43,160 Speaker 1: play it cool or you sometimes you have to coax 508 00:27:43,200 --> 00:27:46,080 Speaker 1: the cat and to get the reward of the cute face, 509 00:27:46,480 --> 00:27:50,159 Speaker 1: of the warmth against your body, the furry feeling of 510 00:27:50,240 --> 00:27:52,639 Speaker 1: holding the cat, and of course the health ben offense. 511 00:27:52,640 --> 00:27:54,640 Speaker 1: They've been numerous studies that have looked at the health 512 00:27:54,640 --> 00:27:56,639 Speaker 1: ben if it's of cat ownership. But then again, the 513 00:27:56,680 --> 00:27:58,359 Speaker 1: more you chase after it, the more you try and 514 00:27:58,359 --> 00:28:00,240 Speaker 1: make it your own, the more likely that have penis 515 00:28:00,320 --> 00:28:02,760 Speaker 1: is going to crawl under the bed and hide from you. Yeah, 516 00:28:02,760 --> 00:28:04,840 Speaker 1: And it's sort of like if if you seek out 517 00:28:04,880 --> 00:28:08,720 Speaker 1: these pictures and these videos of cats, then on some 518 00:28:08,880 --> 00:28:12,960 Speaker 1: level you're you're courting approval from them. And it says, 519 00:28:13,119 --> 00:28:14,440 Speaker 1: you know, if you see a picture of a cat 520 00:28:14,480 --> 00:28:17,159 Speaker 1: and says, oh hi, it's not you know, it's the 521 00:28:17,200 --> 00:28:19,760 Speaker 1: cat's not saying oh, hello, hello, look at me, the 522 00:28:19,800 --> 00:28:22,600 Speaker 1: cat saying oh I didn't see standing there. It's that 523 00:28:22,720 --> 00:28:25,360 Speaker 1: sort of attitude. And so I love how he weaves 524 00:28:25,640 --> 00:28:29,359 Speaker 1: all of this together, this internet usage. So in that sense, 525 00:28:29,440 --> 00:28:32,159 Speaker 1: be the Lucky Cat is really a cat video that 526 00:28:32,200 --> 00:28:35,359 Speaker 1: takes back to the Edo period because it's a beckoning cat. 527 00:28:35,400 --> 00:28:38,400 Speaker 1: The cat is waving, the cat is saying hi, hello, 528 00:28:39,000 --> 00:28:41,680 Speaker 1: and and actually acknowledging you, even though it's just a 529 00:28:41,680 --> 00:28:46,719 Speaker 1: mechanical cat or or just even an unmoving uh image 530 00:28:46,720 --> 00:28:48,960 Speaker 1: of a cat. It's waving to you, it's beckoning to you, 531 00:28:49,000 --> 00:28:52,560 Speaker 1: and therefore it's approving of you. Messengers like the unrequited love. 532 00:28:53,040 --> 00:28:55,720 Speaker 1: And finally you have this cat saying yes, come here, 533 00:28:56,040 --> 00:28:58,880 Speaker 1: I will fold you into my arms. And then you 534 00:28:58,960 --> 00:29:02,000 Speaker 1: have somebody that got frustrated and said, forget it. I'm 535 00:29:02,000 --> 00:29:03,640 Speaker 1: not going to try and len these cats approval anymore. 536 00:29:03,640 --> 00:29:07,240 Speaker 1: I'm gonna make myself one out of stone, or I'm 537 00:29:07,280 --> 00:29:10,000 Speaker 1: gonna make one that actually mechanically waves at me, and 538 00:29:10,040 --> 00:29:12,520 Speaker 1: that will do it. It would be my cat gollumn, yes, 539 00:29:12,600 --> 00:29:17,440 Speaker 1: cat go yeah. Um. Clay Sharkey has an interesting TED 540 00:29:17,520 --> 00:29:21,360 Speaker 1: talk and he talks about something called cognitive surplus, and 541 00:29:21,400 --> 00:29:24,640 Speaker 1: then he weaves that into l O L cats and 542 00:29:24,680 --> 00:29:27,840 Speaker 1: he says that cognitive surplus is the ability of the 543 00:29:27,840 --> 00:29:31,800 Speaker 1: world's population to volunteer and to contribute and collaborate on large, 544 00:29:31,800 --> 00:29:35,040 Speaker 1: sometimes global projects. So he uses l O L cuts 545 00:29:35,080 --> 00:29:38,120 Speaker 1: as an example. Right, a lot of people from all 546 00:29:38,120 --> 00:29:42,200 Speaker 1: over the world contributing to this one effort essentially just 547 00:29:42,240 --> 00:29:44,320 Speaker 1: to make all of this laugh, which is a great thing. 548 00:29:44,760 --> 00:29:48,520 Speaker 1: And he says that um, it is made up of 549 00:29:48,560 --> 00:29:51,040 Speaker 1: two things this cognitive surplus. He says that it's the 550 00:29:51,080 --> 00:29:53,480 Speaker 1: world's free time and talents. And he says, the world 551 00:29:53,520 --> 00:29:55,720 Speaker 1: has over a trillion hours a year of free time 552 00:29:55,720 --> 00:29:58,360 Speaker 1: to commit these shared projects. I kind of I don't 553 00:29:58,400 --> 00:30:00,280 Speaker 1: know where he came up with that, staff, but that's 554 00:30:00,280 --> 00:30:03,640 Speaker 1: a lot. And then he says that, um, you know, 555 00:30:04,120 --> 00:30:09,600 Speaker 1: we as a collective power of world changing behavior, if 556 00:30:09,840 --> 00:30:12,920 Speaker 1: we can do the ll L cats that we could 557 00:30:13,240 --> 00:30:18,480 Speaker 1: potentially with that those trillions of hours actually committed to 558 00:30:18,560 --> 00:30:22,120 Speaker 1: something that is meaningful, I mean beyond making all of 559 00:30:22,160 --> 00:30:24,480 Speaker 1: us laugh, because that is meaningful. So he's saying, hey, 560 00:30:24,480 --> 00:30:26,360 Speaker 1: if you've got time to ll okay, you've got time 561 00:30:26,400 --> 00:30:29,680 Speaker 1: to cure cancer. I think he's saying, we can all 562 00:30:29,720 --> 00:30:32,080 Speaker 1: maybe not cure cancer, but you know, we could all 563 00:30:32,160 --> 00:30:34,000 Speaker 1: freak at least love each other a little more. We 564 00:30:34,000 --> 00:30:35,480 Speaker 1: could love each other a little bit more. We could 565 00:30:35,480 --> 00:30:39,720 Speaker 1: pool our efforts to try to tackle certain problems that 566 00:30:39,800 --> 00:30:43,800 Speaker 1: would rely upon individual efforts, um to to give their 567 00:30:43,800 --> 00:30:47,600 Speaker 1: talents to this one thing. It's an interesting concept. It's 568 00:30:47,720 --> 00:30:50,440 Speaker 1: very ted. It is it's very ted. Yeah, and it 569 00:30:50,480 --> 00:30:52,680 Speaker 1: does make me think again of cuteness as a as 570 00:30:52,720 --> 00:30:55,400 Speaker 1: an icon, cuteness as as an object of worship, a 571 00:30:55,440 --> 00:30:58,160 Speaker 1: little adorable cat made out of plastic that you put 572 00:30:58,200 --> 00:31:01,080 Speaker 1: on your desk and in a sense, you pray to 573 00:31:01,200 --> 00:31:03,280 Speaker 1: every time you look at it. You're you maybe not, 574 00:31:03,360 --> 00:31:06,680 Speaker 1: you're actually not Actually you're not actually saying any kind 575 00:31:06,720 --> 00:31:09,960 Speaker 1: of a prayer, but you are looking to it and 576 00:31:10,040 --> 00:31:13,880 Speaker 1: investing some level of cognitive energy into it and expecting 577 00:31:13,920 --> 00:31:16,080 Speaker 1: to gain from it. There you go. I mean, this 578 00:31:16,160 --> 00:31:18,720 Speaker 1: is as good as it gets when it comes to 579 00:31:18,760 --> 00:31:23,040 Speaker 1: trying to explain the love of cats, the obsession with 580 00:31:23,160 --> 00:31:26,920 Speaker 1: cats on the internet, and then touching on this idea 581 00:31:27,080 --> 00:31:31,000 Speaker 1: of kauai and uh, the ways in which it colors 582 00:31:31,000 --> 00:31:35,000 Speaker 1: our perception. All right, So there you have it, kauaite cute. Um. 583 00:31:35,040 --> 00:31:37,800 Speaker 1: I'm sure everyone has some little bit of insight on 584 00:31:37,840 --> 00:31:39,800 Speaker 1: this to share, and we would love to hear about it. 585 00:31:39,880 --> 00:31:42,880 Speaker 1: We'd love to know what is the little icon of 586 00:31:42,960 --> 00:31:46,600 Speaker 1: cute that empowers you throughout the day, or what is 587 00:31:46,640 --> 00:31:48,400 Speaker 1: the what is a little bit of cuteness that you 588 00:31:48,440 --> 00:31:53,160 Speaker 1: absolutely detest and uh and would I would actually interfere 589 00:31:53,200 --> 00:31:55,000 Speaker 1: with your productivity during the course of the day. Let 590 00:31:55,080 --> 00:31:56,360 Speaker 1: us know about that as well. You can find us 591 00:31:56,360 --> 00:31:58,640 Speaker 1: in all the usual places. Stuff to about your Mind 592 00:31:58,680 --> 00:32:00,680 Speaker 1: dot com as the mothership, but we're all so on Tumbler, 593 00:32:00,720 --> 00:32:04,840 Speaker 1: Facebook and Twitter, Google Plus, YouTube, Blower Mind, Stuff Show 594 00:32:04,920 --> 00:32:06,520 Speaker 1: and Julie. If they want to send us a good 595 00:32:06,520 --> 00:32:08,920 Speaker 1: old fashioned email, where can they do that? Well, it's 596 00:32:08,960 --> 00:32:11,200 Speaker 1: really quite easy. All you have to do is send 597 00:32:11,240 --> 00:32:19,040 Speaker 1: us an email at Blow the Mind at Discovery dot com, 598 00:32:15,960 --> 00:32:21,600 Speaker 1: YEA for moralness and thousands of other topics. Does it? 599 00:32:21,680 --> 00:32:28,800 Speaker 1: How stuff works dot com