1 00:00:03,800 --> 00:00:06,680 Speaker 1: Welcome to Stuff to Blow Your Mind from how Stuff 2 00:00:06,680 --> 00:00:13,840 Speaker 1: Works dot com. Hey, welcome to Stuff to Blow your Mind. 3 00:00:13,840 --> 00:00:17,160 Speaker 1: My name is Robert Lamb and I'm Julie Douglas. Julie. Uh, 4 00:00:17,400 --> 00:00:19,160 Speaker 1: you've seen a movie baby, right? You saw that as 5 00:00:19,200 --> 00:00:22,040 Speaker 1: a child. I did, yeahard by that right, Yeah, just 6 00:00:22,079 --> 00:00:26,040 Speaker 1: like everyone else. Um. Looking at Bandy, one can't help 7 00:00:26,079 --> 00:00:28,520 Speaker 1: but think this does not look like a real deer. 8 00:00:29,600 --> 00:00:31,800 Speaker 1: Its eyes are way too big. Like I would hate 9 00:00:31,800 --> 00:00:36,519 Speaker 1: to see the animal like a realistic bandy, you know, 10 00:00:36,560 --> 00:00:39,239 Speaker 1: because its eyes would just be enormous and like, if 11 00:00:39,240 --> 00:00:41,959 Speaker 1: it took actual shape, it would be monstrous and very 12 00:00:42,120 --> 00:00:44,159 Speaker 1: it would be kind of bizarre. It would look like 13 00:00:44,200 --> 00:00:46,920 Speaker 1: a like an alien, like like a little gray alien 14 00:00:46,960 --> 00:00:49,360 Speaker 1: with the giant eyes, except the in dear form, Yeah, 15 00:00:49,479 --> 00:00:53,199 Speaker 1: but illustrated quite cute, right, yeah, in illustrated form, it's 16 00:00:53,240 --> 00:00:56,360 Speaker 1: it's very adorable. Yeah. And some might even argue that 17 00:00:56,440 --> 00:00:59,040 Speaker 1: Bambi was the beginnings of what we know as kawaii, 18 00:00:59,240 --> 00:01:06,679 Speaker 1: which is sort of embracing of all things cute. Yeah. Yeah, 19 00:01:06,720 --> 00:01:08,959 Speaker 1: and in the age of like L O L cats 20 00:01:09,080 --> 00:01:12,520 Speaker 1: and you know, cute puppies sneezing or panda sneezing and 21 00:01:12,640 --> 00:01:16,040 Speaker 1: everything else that we're seeing on the internet. It's undeniable 22 00:01:16,120 --> 00:01:19,880 Speaker 1: that people have a connection to this cuteness that these 23 00:01:19,920 --> 00:01:24,479 Speaker 1: animals um and it kind of brings into question our 24 00:01:24,520 --> 00:01:27,360 Speaker 1: relationship with animals and the way that we treat them 25 00:01:27,440 --> 00:01:30,240 Speaker 1: and we think about them. Right, Like with Bamby, they 26 00:01:30,280 --> 00:01:32,760 Speaker 1: actually started off with real deer, right, they brought in 27 00:01:32,800 --> 00:01:36,960 Speaker 1: real deer. Yeah. Yeah, so so just so everybody knows 28 00:01:37,040 --> 00:01:40,399 Speaker 1: that the reason why we have this babyfied Bamby, this 29 00:01:40,560 --> 00:01:45,440 Speaker 1: this big eyed, doeyide fawn, is because Disney was such 30 00:01:45,480 --> 00:01:48,639 Speaker 1: a stickler for detail that that at first he said, okay, 31 00:01:48,680 --> 00:01:50,840 Speaker 1: you know what, we need to really make sure that 32 00:01:51,000 --> 00:01:55,040 Speaker 1: Bambi is rendered as a realistically as possible. So he 33 00:01:55,120 --> 00:01:58,320 Speaker 1: had a pair of fawns shipped in from Maine and 34 00:01:58,360 --> 00:02:02,760 Speaker 1: then he made his artists wat an autonomoust dissect the 35 00:02:02,800 --> 00:02:06,320 Speaker 1: carcass of a newborn deer that resulted from that pair, 36 00:02:07,160 --> 00:02:10,000 Speaker 1: and the sketches they produced were were really perfect, right, 37 00:02:10,440 --> 00:02:13,840 Speaker 1: they were very realistic. But Disney realized right off the 38 00:02:13,840 --> 00:02:16,399 Speaker 1: bat that this was a mistake. This wasn't gonna sell, 39 00:02:16,480 --> 00:02:20,160 Speaker 1: This was not didn't test well with audiences, right right, 40 00:02:20,160 --> 00:02:23,400 Speaker 1: This reality wasn't really gonna hook audiences the way that 41 00:02:23,440 --> 00:02:25,840 Speaker 1: he wanted them to be emotionally hooked from the storyline. 42 00:02:26,280 --> 00:02:28,520 Speaker 1: So he had his artists go back to the drawing 43 00:02:28,560 --> 00:02:32,079 Speaker 1: board and they made them more cuddly. Um. And this 44 00:02:32,120 --> 00:02:34,880 Speaker 1: is this is actually from how Herzog's really great book 45 00:02:34,919 --> 00:02:37,079 Speaker 1: called Some We Love, Some We Hate, and Some We Eat, 46 00:02:37,120 --> 00:02:43,400 Speaker 1: which looks at our tenuous relationship with animals and um 47 00:02:43,480 --> 00:02:46,040 Speaker 1: he says that Bambi was essentially morphed into a surrogate 48 00:02:46,120 --> 00:02:52,119 Speaker 1: human baby. Wow. Yeah, it's a I mean, and then 49 00:02:52,800 --> 00:02:54,760 Speaker 1: it just had It does make you really think about this, 50 00:02:54,800 --> 00:02:58,080 Speaker 1: this complex relationship that we have with animals, especially like 51 00:02:58,120 --> 00:03:00,760 Speaker 1: in this case where guys are sitting I'm thinking about 52 00:03:00,800 --> 00:03:04,520 Speaker 1: how these cute animals are gonna appeal to two children 53 00:03:04,560 --> 00:03:08,520 Speaker 1: even as they're dissecting their carcasses and planning out Bambi. 54 00:03:08,680 --> 00:03:11,560 Speaker 1: You know, you generally don't think of the various um, 55 00:03:12,360 --> 00:03:16,440 Speaker 1: well not Vivia sections, but dissections involved with with your 56 00:03:16,520 --> 00:03:19,840 Speaker 1: with your beloved Disney films. I'm hoping this was the 57 00:03:19,880 --> 00:03:23,400 Speaker 1: only one they really did that for who knows. You know, 58 00:03:23,520 --> 00:03:25,320 Speaker 1: you have to know, you start to think about all 59 00:03:25,360 --> 00:03:28,320 Speaker 1: the past films that they did and wonder that's where 60 00:03:28,320 --> 00:03:34,360 Speaker 1: that come from. Yeah, got to the bottom of that, 61 00:03:35,640 --> 00:03:38,760 Speaker 1: but I mean from hell Herzog's perspective in his book, 62 00:03:38,800 --> 00:03:41,760 Speaker 1: this is exactly the problem that we have here is that, uh, 63 00:03:41,800 --> 00:03:44,240 Speaker 1: you know, here's who's on the one hand, trying to 64 00:03:44,240 --> 00:03:46,680 Speaker 1: to make this animal really connect with people and make 65 00:03:46,720 --> 00:03:48,960 Speaker 1: it look more like a baby. On the other hand, 66 00:03:49,400 --> 00:03:52,760 Speaker 1: you know that Disney thinks nothing of uh you know, 67 00:03:52,800 --> 00:03:55,560 Speaker 1: taking the life of this little fawn in order to 68 00:03:56,160 --> 00:03:59,400 Speaker 1: create something like this just for our pleasure, right, And 69 00:03:59,440 --> 00:04:01,680 Speaker 1: of course that this this drawls right into the idea 70 00:04:01,840 --> 00:04:05,480 Speaker 1: of that like we're we're attracted to, say a cat 71 00:04:05,640 --> 00:04:08,360 Speaker 1: or a dog because it has been especially a kitten 72 00:04:08,760 --> 00:04:11,920 Speaker 1: where it has oversized eyes, or or a puppy it 73 00:04:11,960 --> 00:04:16,280 Speaker 1: has oversized eyes. And this, uh, this not completely humanlike face, 74 00:04:16,360 --> 00:04:20,240 Speaker 1: but still the snout is less less pronounced than dogs 75 00:04:20,279 --> 00:04:23,640 Speaker 1: generally when they're when they're smaller, and uh so it 76 00:04:23,720 --> 00:04:25,880 Speaker 1: looks a little bit like a baby. Like it calls 77 00:04:25,920 --> 00:04:29,599 Speaker 1: to mind an infant child. And therefore we have this 78 00:04:29,640 --> 00:04:32,320 Speaker 1: paternal instinct that's kicking in when we look at it. Yeah. Yeah, 79 00:04:32,360 --> 00:04:35,080 Speaker 1: we've talked about the parental instinct before. In fact, we 80 00:04:35,120 --> 00:04:38,800 Speaker 1: talked about it in Our Dogs podcasts and uh in 81 00:04:38,880 --> 00:04:44,679 Speaker 1: Nova's Dogs Decoded. Psychologists Morton Klingelbach put adults into meg scanners, 82 00:04:44,680 --> 00:04:48,719 Speaker 1: which are these really cool supercharge scanners or neuro imagers, 83 00:04:48,800 --> 00:04:52,600 Speaker 1: and then they showed photos to people while they are 84 00:04:52,600 --> 00:04:55,760 Speaker 1: in the scanner of unfamiliar adult faces, infant faces, and 85 00:04:55,880 --> 00:04:59,520 Speaker 1: puppy faces, and within one seventh of a second, the 86 00:04:59,600 --> 00:05:03,360 Speaker 1: medial orbital frontal cortex, which is involved in emotional responses, 87 00:05:03,760 --> 00:05:05,760 Speaker 1: lit up like a pinball machine when people looked at 88 00:05:05,839 --> 00:05:08,960 Speaker 1: infants and puppy faces. And this is what they were 89 00:05:09,000 --> 00:05:12,600 Speaker 1: calling the parental instinct, like you can't not respond to 90 00:05:12,640 --> 00:05:15,840 Speaker 1: these animals, um, and there's the here's the kicker though, 91 00:05:15,880 --> 00:05:18,800 Speaker 1: which I thought was really interesting. Even in people who 92 00:05:18,839 --> 00:05:22,880 Speaker 1: are blind from birth, they have the same areas activated 93 00:05:22,880 --> 00:05:25,479 Speaker 1: in their brains when they hear the names of animals. 94 00:05:26,320 --> 00:05:28,839 Speaker 1: So so it sort of points to this concept of 95 00:05:28,880 --> 00:05:32,080 Speaker 1: animals or how we've painted them in language, which goes 96 00:05:32,160 --> 00:05:37,000 Speaker 1: far beyond visual processing. Baby seal instantly, like it's sort 97 00:05:37,040 --> 00:05:39,680 Speaker 1: of light up, yeah, certain things. Yeah, And even if 98 00:05:39,680 --> 00:05:41,640 Speaker 1: you don't have a visual of that, if you've been 99 00:05:41,640 --> 00:05:44,000 Speaker 1: blind from birth, you have an idea of what a 100 00:05:44,000 --> 00:05:51,039 Speaker 1: baby seal means in our language into humans of scorpions, Uh, repulsion, 101 00:05:51,279 --> 00:05:55,320 Speaker 1: Yeah exactly. Yeah. Yeah. So, um kitten kitten on a 102 00:05:55,320 --> 00:06:02,080 Speaker 1: tricycle heart melting right now? Yeah, Um kitten farts erupting 103 00:06:04,440 --> 00:06:08,320 Speaker 1: from the kitten sitting here in the tricycle. Yeah. Uh so, 104 00:06:08,440 --> 00:06:11,040 Speaker 1: I mean it does kind of, you know, make us 105 00:06:11,040 --> 00:06:14,000 Speaker 1: ask this question of why do some animals elicit these 106 00:06:14,000 --> 00:06:18,599 Speaker 1: warm and fuzzy feelings while others illicit repulsion. They're they're 107 00:06:18,640 --> 00:06:21,840 Speaker 1: all beams right right? Yeah, Like how much of it 108 00:06:21,880 --> 00:06:25,080 Speaker 1: is has learned? Like you learned to say hey to 109 00:06:25,120 --> 00:06:27,880 Speaker 1: snake just because you hear people say, oh that's gross, 110 00:06:28,200 --> 00:06:31,480 Speaker 1: or you hear stories about it biting people and housing 111 00:06:31,560 --> 00:06:35,520 Speaker 1: a lot of swelling and death, or is if there's 112 00:06:35,560 --> 00:06:38,400 Speaker 1: something deeper? Is there something ingrained in us to be 113 00:06:38,520 --> 00:06:41,720 Speaker 1: wary of snakes? Right? Yeah? Well, and some scientists would 114 00:06:41,720 --> 00:06:44,960 Speaker 1: say that it's something we learned, and other scientists say 115 00:06:45,000 --> 00:06:48,960 Speaker 1: that we're hardwired to fear snakes. Snakes are a great example. 116 00:06:49,680 --> 00:06:53,520 Speaker 1: Lynn Isabelle of the University of California Davis posits that 117 00:06:53,600 --> 00:06:57,039 Speaker 1: the primate brain specializes in visually detecting snakes, and she 118 00:06:57,120 --> 00:07:00,760 Speaker 1: says that, um, you know our pastix variance shape the 119 00:07:00,760 --> 00:07:03,360 Speaker 1: brains that we have today. And then if you take 120 00:07:03,400 --> 00:07:05,080 Speaker 1: a bunch of kids and you ask them to look 121 00:07:05,120 --> 00:07:09,800 Speaker 1: at pictures, they're far more likely to pick out the 122 00:07:09,920 --> 00:07:13,880 Speaker 1: snake very quickly than say a flower or a caterpillar 123 00:07:14,400 --> 00:07:17,840 Speaker 1: in those pictures. So they're sort of hone in on 124 00:07:17,920 --> 00:07:20,920 Speaker 1: the snakes and that this is an instinct and it 125 00:07:21,000 --> 00:07:25,320 Speaker 1: does kind of, uh, it does bring up an interesting 126 00:07:25,360 --> 00:07:28,240 Speaker 1: question about whether or not you can inherit that. And 127 00:07:28,320 --> 00:07:32,080 Speaker 1: there was a Science Daily article called Epigenetic memory Key 128 00:07:32,120 --> 00:07:36,320 Speaker 1: to Nature Versus Nurture, and it says that organisms can 129 00:07:36,360 --> 00:07:40,200 Speaker 1: create a biological memory of some variable conditions like the 130 00:07:40,280 --> 00:07:44,360 Speaker 1: quality of nutrition or a temperature or something that, um, 131 00:07:44,560 --> 00:07:47,360 Speaker 1: you might need to be scared of, essentially, and that 132 00:07:47,480 --> 00:07:52,440 Speaker 1: this discovery essentially just explains why you would have this 133 00:07:52,520 --> 00:07:56,160 Speaker 1: pass down from daughter cell to the next generation. So 134 00:07:56,280 --> 00:07:58,960 Speaker 1: it's like a switch that's flipped on depending on what 135 00:07:59,040 --> 00:08:02,280 Speaker 1: the conditions are for that certain for that organism. All right, 136 00:08:02,280 --> 00:08:05,800 Speaker 1: So if this organism grows up in snake country, then uh, 137 00:08:05,840 --> 00:08:08,440 Speaker 1: the epogen nake changes will take place to make that 138 00:08:08,480 --> 00:08:11,239 Speaker 1: person be wary of snakes. Where if someone is growing 139 00:08:11,280 --> 00:08:14,560 Speaker 1: up in a northern region or on or An island 140 00:08:14,560 --> 00:08:18,400 Speaker 1: where all the snakes have been driven out by a priest. Yes, 141 00:08:19,040 --> 00:08:23,280 Speaker 1: but again it gets tricky here because hell Herzog again 142 00:08:23,320 --> 00:08:27,360 Speaker 1: in the book, points to New Guinea and tribespeople who 143 00:08:27,440 --> 00:08:31,080 Speaker 1: have a high venomous snake population with further, snakes are venomous, 144 00:08:31,360 --> 00:08:33,840 Speaker 1: So you would think that they would fear snakes, they 145 00:08:33,840 --> 00:08:36,680 Speaker 1: would never touch them, But in fact, they're really good 146 00:08:36,720 --> 00:08:38,640 Speaker 1: at ferreting out the ones that are non venomous, the 147 00:08:38,640 --> 00:08:40,120 Speaker 1: ones that are venomous, and then the ones that are 148 00:08:40,160 --> 00:08:42,800 Speaker 1: non venomous they eat for dinner. Okay, well, I mean 149 00:08:42,800 --> 00:08:45,120 Speaker 1: that makes sense though they're living they're living there there, 150 00:08:45,200 --> 00:08:48,120 Speaker 1: they know the local terrain, they know the local animals 151 00:08:48,480 --> 00:08:50,640 Speaker 1: and uh, and they know exactly which ones they can 152 00:08:50,640 --> 00:08:52,560 Speaker 1: cook for dinner and which one need to be avoided 153 00:08:52,600 --> 00:08:55,160 Speaker 1: like the plague. So they have specifically adapted. But that 154 00:08:55,280 --> 00:08:58,880 Speaker 1: that doesn't explain why people in North America are so 155 00:08:59,000 --> 00:09:02,640 Speaker 1: fearful of snakes. You're far more likely to be killed 156 00:09:02,640 --> 00:09:04,960 Speaker 1: by a dog than from a snake, according to hell 157 00:09:05,040 --> 00:09:06,760 Speaker 1: Hers Well, yeah, but I mean we still have some 158 00:09:06,880 --> 00:09:13,280 Speaker 1: very poisonous snakes, cotton mouths, copper heads, rattlers, right, true, true, 159 00:09:13,400 --> 00:09:15,520 Speaker 1: And there's they're scary, folks, I get it. And dogs 160 00:09:15,559 --> 00:09:19,360 Speaker 1: aren't quite as scary unless they're coojo yeah. Yeah. Or 161 00:09:19,360 --> 00:09:22,400 Speaker 1: my neighbor's dog. My neighbor's dog is quite scary. Yeah, 162 00:09:22,559 --> 00:09:24,800 Speaker 1: what kind of dog. I don't know. I think it's 163 00:09:24,840 --> 00:09:30,400 Speaker 1: a pitpole. Sorry. Yeah, they can be a little less scary. Yeah. 164 00:09:30,400 --> 00:09:33,280 Speaker 1: See there, I am. I'm just I'm playing into the 165 00:09:33,320 --> 00:09:36,320 Speaker 1: whole risk thing here about whether or not the risk 166 00:09:36,440 --> 00:09:39,920 Speaker 1: is actually there. Um. But again, going back to this, 167 00:09:40,120 --> 00:09:44,200 Speaker 1: to this relationship with us and animals, hair Zog really 168 00:09:44,240 --> 00:09:47,600 Speaker 1: looks at this uncomfortable relationship with animals we have, and 169 00:09:47,640 --> 00:09:50,240 Speaker 1: it's uncomfortable, not just with snakes, So okay, they can 170 00:09:50,280 --> 00:09:53,520 Speaker 1: be a danger, this uncomfortable relationship and the fact that 171 00:09:53,559 --> 00:09:56,280 Speaker 1: we eat some of them, and we make these deliberate 172 00:09:56,320 --> 00:09:59,000 Speaker 1: choices to eat some of them and to keep others 173 00:09:59,040 --> 00:10:03,280 Speaker 1: as pets or just look at them. Yeah, mine, and 174 00:10:04,040 --> 00:10:06,120 Speaker 1: I guess that, yea. One of the things about about 175 00:10:06,120 --> 00:10:08,600 Speaker 1: this scenario that that fascinates me, of course, is that 176 00:10:09,000 --> 00:10:11,200 Speaker 1: you have you can look at like two extremes, like 177 00:10:11,240 --> 00:10:13,160 Speaker 1: the person who is like a diet in the wool 178 00:10:13,200 --> 00:10:15,560 Speaker 1: meat eater who is just one of those people that 179 00:10:15,640 --> 00:10:18,960 Speaker 1: maybe has like a really kind of annoying extremist attitude 180 00:10:18,960 --> 00:10:21,640 Speaker 1: about it, where it's like, yeah, kind of like everything 181 00:10:21,720 --> 00:10:24,560 Speaker 1: exists for me to potentially grill and eat, and if 182 00:10:24,559 --> 00:10:26,280 Speaker 1: I can't eat it, then don't waste my time with it. 183 00:10:26,559 --> 00:10:28,400 Speaker 1: And then on the other hand, you can you can 184 00:10:28,440 --> 00:10:31,800 Speaker 1: have the the equally annoying, like uber vegan kind of 185 00:10:31,840 --> 00:10:36,600 Speaker 1: stereotype where they fill this deep emotional connection with all 186 00:10:36,760 --> 00:10:40,480 Speaker 1: life forms and therefore aren't going to eat anything in 187 00:10:40,520 --> 00:10:43,400 Speaker 1: there that will fall Yeah, exactly so. But but the 188 00:10:43,920 --> 00:10:46,720 Speaker 1: reality is most people fall somewhere in between, and and 189 00:10:46,760 --> 00:10:49,679 Speaker 1: it ends up being this complex relationship of I mean, 190 00:10:49,760 --> 00:10:52,880 Speaker 1: to a certain extances, kind of pick and choose, and 191 00:10:52,920 --> 00:10:55,640 Speaker 1: then that is grafted into this world view we have 192 00:10:55,800 --> 00:10:58,920 Speaker 1: where it's okay to eat this, but not this this. 193 00:10:59,080 --> 00:11:02,760 Speaker 1: Animals are friends, this one is our ancestral enemy, uh, 194 00:11:02,800 --> 00:11:05,000 Speaker 1: the snake, and then this one, uh, this one's kind 195 00:11:05,000 --> 00:11:06,640 Speaker 1: of in a gray area, and we just don't think 196 00:11:06,679 --> 00:11:08,320 Speaker 1: about them as much. Well. And I think that the 197 00:11:08,320 --> 00:11:11,760 Speaker 1: reason why people are considering the question of eating meat 198 00:11:11,800 --> 00:11:14,520 Speaker 1: so much these days is when are resources right? We 199 00:11:14,559 --> 00:11:17,840 Speaker 1: don't have that much land left to to to raise 200 00:11:18,160 --> 00:11:21,760 Speaker 1: cows and pigs and everything else that's meat oriented as 201 00:11:21,800 --> 00:11:24,480 Speaker 1: we used to. And yet our consumption is at all 202 00:11:24,520 --> 00:11:26,640 Speaker 1: time high, right yeah, I feel like a lot of it. 203 00:11:27,440 --> 00:11:30,320 Speaker 1: You know, there's people reaching the point where they're they're like, whoa, yeah, 204 00:11:30,840 --> 00:11:32,920 Speaker 1: my family really ate a lot of meat. Was that 205 00:11:33,000 --> 00:11:35,600 Speaker 1: really necessary to eat that much meat all the time? 206 00:11:35,679 --> 00:11:38,880 Speaker 1: Because it grows from being a necessity or or or 207 00:11:38,920 --> 00:11:40,760 Speaker 1: something we just have every now and then. I mean, 208 00:11:40,880 --> 00:11:45,080 Speaker 1: studies have shown that as as country's populations become more prosperous, 209 00:11:45,200 --> 00:11:47,240 Speaker 1: they eat more meat. Well you see that in India 210 00:11:47,280 --> 00:11:49,640 Speaker 1: and China, right. Um. In fact, the same sort of 211 00:11:49,640 --> 00:11:52,400 Speaker 1: factory farming practices are beginning to be practiced there, which 212 00:11:52,840 --> 00:11:55,720 Speaker 1: as as a whole other podcast about the ramifications of 213 00:11:55,760 --> 00:11:58,520 Speaker 1: that our environment. But it does sort of drawn to 214 00:11:58,679 --> 00:12:03,720 Speaker 1: question this or actually sort of underscores this problem of Okay, 215 00:12:03,720 --> 00:12:06,760 Speaker 1: well we have so much at our disposal for the 216 00:12:06,760 --> 00:12:10,880 Speaker 1: most part people living in in um in industrialized nations. 217 00:12:11,080 --> 00:12:13,040 Speaker 1: And you have brought this up the other day that 218 00:12:13,120 --> 00:12:18,439 Speaker 1: you saw a chicken biscuit snack and you say, ridiculous thing. Yeah, 219 00:12:18,480 --> 00:12:20,760 Speaker 1: it was on a billboard at like a fast food restaurant, 220 00:12:20,800 --> 00:12:24,480 Speaker 1: and there you know, it's likes chicken biscuit snack, and 221 00:12:24,480 --> 00:12:26,400 Speaker 1: and that made me feel kind of weird because I'm like, 222 00:12:26,440 --> 00:12:30,040 Speaker 1: I really don't need an animal to die for my snack. Like, 223 00:12:30,120 --> 00:12:31,880 Speaker 1: for my snack, I can just do with some fruit 224 00:12:32,120 --> 00:12:35,480 Speaker 1: or some snack mix um, or just some gum and 225 00:12:35,520 --> 00:12:38,280 Speaker 1: some water or something. But but an animal doesn't need 226 00:12:38,320 --> 00:12:40,360 Speaker 1: to die for my for my snack. An animal doesn't 227 00:12:40,360 --> 00:12:42,480 Speaker 1: need to die for my breakfast. I think, you know, 228 00:12:42,760 --> 00:12:46,840 Speaker 1: maybe my brunch on a special occasion, sometimes my lunch 229 00:12:47,400 --> 00:12:50,240 Speaker 1: and dinner, you know, a couple of times a week, 230 00:12:50,240 --> 00:12:52,200 Speaker 1: if it's like a fish or something, I guess yeah. 231 00:12:52,240 --> 00:12:54,440 Speaker 1: And so that's the sort of environment we're living in, 232 00:12:54,559 --> 00:12:56,360 Speaker 1: is that we have so much at our disposal that 233 00:12:56,400 --> 00:12:58,240 Speaker 1: you start to back up and say, do we really 234 00:12:58,280 --> 00:13:01,520 Speaker 1: need to have a chicken skit as a snack? Um? 235 00:13:01,559 --> 00:13:02,959 Speaker 1: You know, back in the day, you should be that 236 00:13:03,000 --> 00:13:04,560 Speaker 1: you would kill a chicken and you would eat it 237 00:13:04,640 --> 00:13:07,440 Speaker 1: from you know, from head to tail right, you would 238 00:13:07,559 --> 00:13:10,720 Speaker 1: use every single part. And although there are some movements 239 00:13:10,720 --> 00:13:12,840 Speaker 1: that are getting back to that, for the most part, 240 00:13:12,880 --> 00:13:15,360 Speaker 1: Americans are getting a bucket of chicken and calling it 241 00:13:15,440 --> 00:13:19,440 Speaker 1: a day. Right. Um, So there's there's that sort of 242 00:13:19,520 --> 00:13:22,839 Speaker 1: looming out there, right, that's just an odd sort of 243 00:13:22,880 --> 00:13:26,600 Speaker 1: circumstance that we find ourselves in. But Hell's Herzog wants 244 00:13:26,640 --> 00:13:29,920 Speaker 1: to look at it even a little bit closer again. 245 00:13:30,040 --> 00:13:32,640 Speaker 1: Why do we have this sort of uncomfortable relationship when 246 00:13:32,679 --> 00:13:35,920 Speaker 1: we're looking at animals for for meat source or even 247 00:13:35,960 --> 00:13:39,400 Speaker 1: just killing animals? Um He writes about a game warden 248 00:13:39,400 --> 00:13:43,160 Speaker 1: in an African village where baboons destroy crops and raise 249 00:13:43,240 --> 00:13:45,679 Speaker 1: the hackles of the local humans because of course that 250 00:13:45,800 --> 00:13:49,000 Speaker 1: the babanians are threatening their food source right, their vegetables 251 00:13:49,000 --> 00:13:51,440 Speaker 1: and so on and so forth. It's so annoys them 252 00:13:51,520 --> 00:13:53,480 Speaker 1: that they actually trapped them in pits at night and 253 00:13:53,480 --> 00:13:55,920 Speaker 1: then they kill them in the morning. But they feel 254 00:13:55,960 --> 00:13:59,120 Speaker 1: bad about this and actually have a saying in Swahili 255 00:13:59,400 --> 00:14:01,959 Speaker 1: that is never look a bad boot in the eye. 256 00:14:02,400 --> 00:14:06,679 Speaker 1: It's it's a good idea general, because they're yeah, they're 257 00:14:07,240 --> 00:14:10,880 Speaker 1: I find bad Boom's rather creepy and fearsome, you do 258 00:14:11,320 --> 00:14:15,199 Speaker 1: is the well their hignees are are certainly add to it, 259 00:14:15,240 --> 00:14:16,679 Speaker 1: because it's like, but I mean the front of them, 260 00:14:16,720 --> 00:14:19,360 Speaker 1: they tend to be pretty fearsome, and then their behinds 261 00:14:19,360 --> 00:14:21,520 Speaker 1: are just kind of gross. But it's it's like all 262 00:14:21,640 --> 00:14:23,720 Speaker 1: rainbow in the back and then yeah, you're right, a 263 00:14:23,760 --> 00:14:25,440 Speaker 1: little bit fangy in the front. Yeah, I mean they're 264 00:14:25,440 --> 00:14:28,440 Speaker 1: they're fascinating animals, but yeah there and then you see 265 00:14:28,520 --> 00:14:31,480 Speaker 1: videos of them. I mean I've watched a lot of 266 00:14:32,320 --> 00:14:36,560 Speaker 1: like Discovery, BBC Nature documentaries over the last few years, 267 00:14:36,640 --> 00:14:40,880 Speaker 1: and yeah, like edinburrow hanging out, watching bad boon's like 268 00:14:40,960 --> 00:14:46,440 Speaker 1: run down livestock um and eat things that there. And 269 00:14:46,520 --> 00:14:49,720 Speaker 1: I also with monkeys, I mean, monkeys can often walk 270 00:14:49,800 --> 00:14:53,960 Speaker 1: that that line between the adorable and the grotesque because 271 00:14:54,240 --> 00:14:56,480 Speaker 1: because on one hand, you look at a baby monkey 272 00:14:56,520 --> 00:14:58,320 Speaker 1: and you kind of see a baby infant. You see, 273 00:14:58,360 --> 00:15:01,520 Speaker 1: like some you see some positive spects of humanity wrapped 274 00:15:01,600 --> 00:15:05,000 Speaker 1: up in that child infant. But I mean if you 275 00:15:05,040 --> 00:15:08,000 Speaker 1: see like this ferocious looking monkey with a weird foul 276 00:15:08,040 --> 00:15:10,880 Speaker 1: us chasing down an animal and then ripping into its throat, 277 00:15:11,160 --> 00:15:14,240 Speaker 1: it still calls to mind some some very human qualities, 278 00:15:14,240 --> 00:15:18,080 Speaker 1: but not the ones you want to see magnified. Oh yeah. Yeah. 279 00:15:18,160 --> 00:15:20,160 Speaker 1: And and to your point too about baboons, they're not 280 00:15:20,200 --> 00:15:22,880 Speaker 1: so cuddly right there. They are a little bit scary, 281 00:15:23,200 --> 00:15:25,800 Speaker 1: and yet they're saying, don't look the baboon in the eye. 282 00:15:25,880 --> 00:15:28,160 Speaker 1: The reason is that the villagers can't help but see 283 00:15:28,200 --> 00:15:31,680 Speaker 1: themselves in the baboon, right and eye kind of something 284 00:15:31,680 --> 00:15:34,400 Speaker 1: that there is that connection. It's and it's one of 285 00:15:34,440 --> 00:15:37,440 Speaker 1: those things like hanging out with our with one's pet. 286 00:15:37,920 --> 00:15:39,840 Speaker 1: There are aspects of it that never get old, like 287 00:15:39,840 --> 00:15:43,400 Speaker 1: you never stopped finding your pet adorable. But but I 288 00:15:43,640 --> 00:15:46,240 Speaker 1: find myself, especially since I only came into that really 289 00:15:46,240 --> 00:15:48,160 Speaker 1: having like an indoor pet in the last few years, 290 00:15:48,520 --> 00:15:50,640 Speaker 1: like I'll look into the cat's eyes and the cat 291 00:15:50,640 --> 00:15:53,240 Speaker 1: will be looking into my eyes and I'm it's, you know, 292 00:15:53,320 --> 00:15:55,680 Speaker 1: kind of an outrageous overstatement of the obvious, but it's 293 00:15:55,880 --> 00:15:58,960 Speaker 1: it's just kind of mind blowing that we're connecting on 294 00:15:59,040 --> 00:16:02,240 Speaker 1: some level. I mean, we can't talk killing a connection 295 00:16:02,280 --> 00:16:04,640 Speaker 1: for sure. Yeah, well, I mean, but she's connecting with 296 00:16:04,640 --> 00:16:07,120 Speaker 1: me because she's looking at my eyes. She's she's she's 297 00:16:07,160 --> 00:16:10,160 Speaker 1: looking to you know, to my sight center. She's saying, 298 00:16:10,280 --> 00:16:13,120 Speaker 1: give me more tuna. Well, yeah, I'm not I'm not 299 00:16:13,160 --> 00:16:15,160 Speaker 1: saying that you know that we're having a deep spiritual 300 00:16:15,200 --> 00:16:18,560 Speaker 1: thing or that we're talking about book, but but yeah, 301 00:16:18,680 --> 00:16:20,120 Speaker 1: so I can totally see why you would want to 302 00:16:20,120 --> 00:16:23,320 Speaker 1: avoid looking into the batman's eyes because then you're there's 303 00:16:23,360 --> 00:16:26,720 Speaker 1: that that brief moment of connection and with this, uh, 304 00:16:26,760 --> 00:16:30,440 Speaker 1: this this thing that looks very human in many ways, 305 00:16:30,440 --> 00:16:32,240 Speaker 1: and then you're about to kill it. All right, we'll 306 00:16:32,280 --> 00:16:34,000 Speaker 1: be back in a moment, and we're going to discuss 307 00:16:34,000 --> 00:16:37,600 Speaker 1: pigs and we're also going to discuss Amazonians in their 308 00:16:38,200 --> 00:16:43,520 Speaker 1: odd relationship to my keys. This podcast is brought to 309 00:16:43,520 --> 00:16:47,160 Speaker 1: you by Intel, the sponsors of Tomorrow and the Discovery Channel. 310 00:16:47,800 --> 00:16:51,760 Speaker 1: At Intel, we believe curiosity is the spark which drives innovation. 311 00:16:52,480 --> 00:16:55,720 Speaker 1: Join us at curiosity dot com and explore the answers 312 00:16:55,800 --> 00:17:00,760 Speaker 1: to life's questions. And we're back. Before we get into 313 00:17:01,040 --> 00:17:04,160 Speaker 1: some more interesting animal relationships, I want to point out 314 00:17:04,200 --> 00:17:06,800 Speaker 1: that that there have been some studies that have shown 315 00:17:06,800 --> 00:17:08,760 Speaker 1: that there are some portions of the brain that light 316 00:17:08,840 --> 00:17:12,280 Speaker 1: up when we see animals, but not human faces or objects. 317 00:17:12,359 --> 00:17:15,000 Speaker 1: So it really underlines that the brain has evolved to 318 00:17:15,080 --> 00:17:18,280 Speaker 1: specialize in processing information about animals. And this is that 319 00:17:18,320 --> 00:17:21,320 Speaker 1: parental instinct we were talking about. We again, you know, 320 00:17:21,600 --> 00:17:24,720 Speaker 1: when you're looking at your cat and you guys are connecting, 321 00:17:24,720 --> 00:17:27,280 Speaker 1: there's something going on there, probably for both of you. 322 00:17:27,480 --> 00:17:30,240 Speaker 1: Because we've talked about this exchange of oxytocin before too, 323 00:17:30,600 --> 00:17:34,200 Speaker 1: particularly with dogs um and oxytocin being that feel good 324 00:17:34,640 --> 00:17:39,320 Speaker 1: hormone that you usually associate between moms and new babies. 325 00:17:40,359 --> 00:17:43,760 Speaker 1: So that's there, there's that's all underlying that. But again, 326 00:17:44,200 --> 00:17:46,560 Speaker 1: why why don't we look at a pig which is 327 00:17:46,960 --> 00:17:49,960 Speaker 1: far smarter than a dog and say, ah, that that 328 00:17:50,040 --> 00:17:53,520 Speaker 1: pig is so smart and um, such a great fella 329 00:17:53,680 --> 00:17:56,639 Speaker 1: or gal. You know, we should spare them the acts, 330 00:17:57,359 --> 00:17:59,679 Speaker 1: you know, why why them? Yeah? Why is there this 331 00:17:59,800 --> 00:18:04,479 Speaker 1: in net bacon phenomenon that refuses to die? Uh? Like, 332 00:18:04,800 --> 00:18:07,000 Speaker 1: why why is that? Okay? Why is that that hip? 333 00:18:07,080 --> 00:18:09,920 Speaker 1: When you know the pig is smarter than the cat 334 00:18:10,400 --> 00:18:12,920 Speaker 1: and and you know, probably smarter than the dog too, 335 00:18:13,320 --> 00:18:15,440 Speaker 1: and uh yeah, we're a lot of us are totally 336 00:18:15,440 --> 00:18:18,600 Speaker 1: fine with that becoming breakfast. Well, because somewhere along the 337 00:18:18,600 --> 00:18:22,840 Speaker 1: way someone discovered bacon, right, and that's it's delicious. That's 338 00:18:22,880 --> 00:18:25,560 Speaker 1: what everybody's thinking right now, and not everybody. They're gonna 339 00:18:25,880 --> 00:18:27,600 Speaker 1: I guarantee this, some people out there that are just 340 00:18:27,640 --> 00:18:30,560 Speaker 1: a little over bacon. Well, I don't know. A full disclosure, 341 00:18:30,640 --> 00:18:33,879 Speaker 1: I'm a vegetarian, and I will say that bacon is delicious. 342 00:18:33,920 --> 00:18:36,920 Speaker 1: I do recall this, and I've actually heard of studies 343 00:18:36,960 --> 00:18:39,879 Speaker 1: before that say that bacon is like the gateway drug 344 00:18:40,080 --> 00:18:43,960 Speaker 1: to meet. Really. Yeah, so you could tempt anyone into 345 00:18:44,000 --> 00:18:46,280 Speaker 1: meet if you were to, I guess put a couple 346 00:18:46,320 --> 00:18:50,840 Speaker 1: of strips before someone's nose. Oh, I don't know about that. 347 00:18:51,080 --> 00:18:54,000 Speaker 1: I don't know. I'm not as big on bacon these days. 348 00:18:54,920 --> 00:18:58,000 Speaker 1: I mean the interest in here for bacon eaters or 349 00:18:58,040 --> 00:19:03,720 Speaker 1: actually for a former bacon eaters. Former bacon eaters, yes, reformed. Yeah. 350 00:19:03,800 --> 00:19:07,280 Speaker 1: So let's talk about these amazon Ians. Um, yeah, there's 351 00:19:07,320 --> 00:19:11,040 Speaker 1: a tribe in the Amazon. They are the Awa garage 352 00:19:11,640 --> 00:19:14,760 Speaker 1: tribe that they're They were covered in the recent BBC 353 00:19:14,880 --> 00:19:17,879 Speaker 1: Discovery co production Human Planet. If you haven't seen that, 354 00:19:17,920 --> 00:19:20,240 Speaker 1: I highly recommend. It's a fascinating show. The show itself 355 00:19:20,280 --> 00:19:23,880 Speaker 1: goes around the world looks at different human old human 356 00:19:23,880 --> 00:19:27,800 Speaker 1: customs that are still practiced, uh for the not for tourists, 357 00:19:27,840 --> 00:19:29,639 Speaker 1: but for the act itself or the you know, the 358 00:19:29,640 --> 00:19:32,320 Speaker 1: benefit of the act and this particular tribe. They will 359 00:19:32,600 --> 00:19:34,520 Speaker 1: they will go out and they will hunt monkeys like 360 00:19:34,560 --> 00:19:36,240 Speaker 1: monkeys are a huge part of their diet. They will 361 00:19:36,280 --> 00:19:39,080 Speaker 1: catch some monkeys of very species, bring them home, chop 362 00:19:39,119 --> 00:19:42,560 Speaker 1: them up, put them in the stewpot. Everybody's watching. Everybody is, 363 00:19:42,840 --> 00:19:45,320 Speaker 1: you know, dipping into the pot and eating some monkey flesh. 364 00:19:45,400 --> 00:19:48,040 Speaker 1: And you know, there's the most natural thing in the 365 00:19:48,080 --> 00:19:51,000 Speaker 1: world for the great source of protein. But they'll find 366 00:19:51,040 --> 00:19:54,080 Speaker 1: themselves some positions where they've killed a mother monkey. It 367 00:19:54,080 --> 00:19:56,880 Speaker 1: would be these baby monkeys. So they'll bring them back. Uh, 368 00:19:56,920 --> 00:19:59,520 Speaker 1: and they will care for them as pets and uh 369 00:19:59,560 --> 00:20:02,040 Speaker 1: and and even in a way more than pets, because 370 00:20:02,080 --> 00:20:05,800 Speaker 1: if there's an infant monkey that needs needs breastfeeding, a 371 00:20:05,880 --> 00:20:09,640 Speaker 1: human mother will actually breastfeed the monkey. Okay, so that's 372 00:20:09,680 --> 00:20:11,920 Speaker 1: that's just weird. The pet part I kind of understand. 373 00:20:12,080 --> 00:20:16,040 Speaker 1: But the actual like taking the monkey into the family 374 00:20:16,640 --> 00:20:19,520 Speaker 1: and then giving it nourishment from your own breast, well 375 00:20:19,560 --> 00:20:22,040 Speaker 1: they're but they're they're making that connections, that parental connections. 376 00:20:22,240 --> 00:20:24,600 Speaker 1: It's just kind of like the next step, right, But 377 00:20:24,640 --> 00:20:27,000 Speaker 1: how could you have that in this you know, how 378 00:20:27,000 --> 00:20:29,960 Speaker 1: could you have a slaughter of monkeys, but then I 379 00:20:30,160 --> 00:20:33,200 Speaker 1: have the nurturing of monkeys. That's the interesting part about 380 00:20:33,240 --> 00:20:35,600 Speaker 1: it because and it's important to note too that these 381 00:20:35,640 --> 00:20:37,719 Speaker 1: these monkeys they raise, they don't like raise them up 382 00:20:37,720 --> 00:20:40,359 Speaker 1: and then eat them. These monkeys have are once you 383 00:20:40,359 --> 00:20:42,760 Speaker 1: take them home, once they grow up, when they've grown 384 00:20:42,800 --> 00:20:45,359 Speaker 1: up with you, they have sort of privileged status. And 385 00:20:45,400 --> 00:20:47,960 Speaker 1: it's not just monkeys, they're just they're just like an 386 00:20:47,960 --> 00:20:52,880 Speaker 1: animal loving tribe. They they love like their their their villages, 387 00:20:52,960 --> 00:20:56,320 Speaker 1: just like crawling with animals of various descriptions there. They're 388 00:20:56,680 --> 00:20:59,840 Speaker 1: they're like the crazy cat lady, except uh, not limited 389 00:20:59,840 --> 00:21:04,119 Speaker 1: to two felines. All right. There's actually another group that 390 00:21:04,160 --> 00:21:08,159 Speaker 1: they cover on their the bish Bishnoy women. This is 391 00:21:08,160 --> 00:21:11,280 Speaker 1: in India, and they actually breastfeed orphan gazelles and bishnoy 392 00:21:11,560 --> 00:21:13,800 Speaker 1: if I'm saying that correctly. This is a Hindu sect 393 00:21:13,800 --> 00:21:18,679 Speaker 1: of vegetarian vegetarians and really hold nature and high esteem. 394 00:21:18,680 --> 00:21:21,400 Speaker 1: It's kind of a kind of an echo Dharma kind 395 00:21:21,400 --> 00:21:24,280 Speaker 1: of thing. But yeah, the the Amazonian tribe those the 396 00:21:24,280 --> 00:21:27,480 Speaker 1: most interesting one because because they're they're they're not vegetarians. 397 00:21:27,520 --> 00:21:30,639 Speaker 1: They will eat they eat monkeys regularly as part of 398 00:21:30,680 --> 00:21:32,600 Speaker 1: their diet, but then they also raise them as pets. 399 00:21:32,600 --> 00:21:35,000 Speaker 1: They so they on one level they can connect with 400 00:21:35,040 --> 00:21:37,520 Speaker 1: them with with the same they'll have the same species 401 00:21:37,520 --> 00:21:39,760 Speaker 1: of monkey, the same and it will be a pet 402 00:21:39,800 --> 00:21:42,040 Speaker 1: on one side and dinner on the other. So how 403 00:21:42,040 --> 00:21:44,360 Speaker 1: do you end up create creating the world viewing? Well, 404 00:21:44,400 --> 00:21:47,800 Speaker 1: maybe maybe that's the cognitive dissonance. They're right, Okay, it's 405 00:21:47,880 --> 00:21:51,000 Speaker 1: there's there's got to be some sort of tension, right, 406 00:21:51,160 --> 00:21:54,160 Speaker 1: or some sort of friction between these two acts, And 407 00:21:54,520 --> 00:21:59,040 Speaker 1: by becoming a surrogate mother to these orphans, perhaps that's 408 00:21:59,119 --> 00:22:02,720 Speaker 1: neutralizing the fact and that's where that's where you're lessening 409 00:22:02,720 --> 00:22:06,200 Speaker 1: the cognitive dissonance. Yeah, I don't know. I mean, I 410 00:22:06,640 --> 00:22:08,959 Speaker 1: know I'm describing a human thing to to a primate, 411 00:22:09,040 --> 00:22:13,280 Speaker 1: but you know, it's it's a It is very interesting 412 00:22:13,280 --> 00:22:15,000 Speaker 1: that they do this. They don't have to do this, 413 00:22:16,520 --> 00:22:19,680 Speaker 1: but it's really it's really not that different from from 414 00:22:19,960 --> 00:22:22,720 Speaker 1: the complex worldviews of the rest of us take on 415 00:22:23,119 --> 00:22:26,439 Speaker 1: to to make sense of their thinking about war. Well, no, 416 00:22:26,520 --> 00:22:29,480 Speaker 1: I'm just I'm just thinking about diet in general. I mean, yeah, 417 00:22:29,520 --> 00:22:31,400 Speaker 1: you could get into the war as well. I mean, 418 00:22:31,400 --> 00:22:35,200 Speaker 1: it basically comes down to heuristic framing, right. In psychology, 419 00:22:35,720 --> 00:22:40,360 Speaker 1: heuristics it's all about efficient rules hard coded into evolutionary process. 420 00:22:40,520 --> 00:22:43,000 Speaker 1: It basically explains how we make decisions, how we come 421 00:22:43,040 --> 00:22:46,520 Speaker 1: to judgments, and well, how our logic is flawed sometimes 422 00:22:46,640 --> 00:22:48,879 Speaker 1: because yeah, yeah, because you end up having flawed logic 423 00:22:48,920 --> 00:22:51,800 Speaker 1: built into the program. Yeah, exactly. We create this framework 424 00:22:51,840 --> 00:22:53,320 Speaker 1: and then we sort of never go outside of the 425 00:22:53,320 --> 00:22:56,040 Speaker 1: framework because once we build it in there, then you 426 00:22:56,160 --> 00:22:58,800 Speaker 1: feel like you've answered your questions. Right. Yeah, it's kind 427 00:22:58,800 --> 00:23:02,200 Speaker 1: of an ethical operating system. Some things will work really 428 00:23:02,200 --> 00:23:04,200 Speaker 1: well with it, but then occasionally you'll have a loophole 429 00:23:04,280 --> 00:23:08,520 Speaker 1: that is h exploited by some viral logic. I guess 430 00:23:08,920 --> 00:23:12,000 Speaker 1: if you will, like, for instance, my own framing system 431 00:23:12,040 --> 00:23:14,920 Speaker 1: self analyzing here about my own consumption of meat, because 432 00:23:15,000 --> 00:23:17,320 Speaker 1: I even though I eat less meat than than I 433 00:23:17,400 --> 00:23:21,760 Speaker 1: used to take. Take cephalopods, all right. The cuttlefish is 434 00:23:21,760 --> 00:23:25,000 Speaker 1: an animal that I think is an amazing creature. I 435 00:23:25,000 --> 00:23:28,040 Speaker 1: think they're very adorable. I've never eaten one, and I 436 00:23:28,640 --> 00:23:31,240 Speaker 1: can safely say I will I will probably never eat 437 00:23:31,600 --> 00:23:34,320 Speaker 1: a cuttlefish because they're just they're just too high on 438 00:23:34,400 --> 00:23:37,040 Speaker 1: the on the cute fascinating creature list, and I have 439 00:23:37,119 --> 00:23:40,400 Speaker 1: no experience tasting them and no interest in tasting them. 440 00:23:40,640 --> 00:23:43,439 Speaker 1: All right, didn't take the OCTOPI the octopy is a 441 00:23:43,440 --> 00:23:46,760 Speaker 1: creature that I have eaten before, uh, generally and sushi. 442 00:23:46,840 --> 00:23:48,600 Speaker 1: And then I learned more about the species, and I 443 00:23:48,600 --> 00:23:50,879 Speaker 1: found out that some octopier are as smart as a cat, 444 00:23:51,560 --> 00:23:53,040 Speaker 1: and so I like the cat, I'm not gonna eat 445 00:23:53,040 --> 00:23:54,840 Speaker 1: the cat. And then but then the thought of this 446 00:23:54,880 --> 00:23:57,760 Speaker 1: octopi being the octopus being as smart as the cat, 447 00:23:57,880 --> 00:24:00,880 Speaker 1: I've I've suddenly just really adverse to eating guy. So 448 00:24:00,880 --> 00:24:03,320 Speaker 1: so my esteem for the creature itself and it's intelligence 449 00:24:03,400 --> 00:24:05,720 Speaker 1: is higher. But also I was never really that impressed 450 00:24:05,760 --> 00:24:10,800 Speaker 1: with the taste of octopi, so um did a low returning, 451 00:24:11,119 --> 00:24:15,080 Speaker 1: low returning investment there. Now the squid, however, I haven't 452 00:24:15,119 --> 00:24:18,359 Speaker 1: read that much indicating that the squid is is as 453 00:24:18,400 --> 00:24:21,359 Speaker 1: smart as a cat and the taste of the squid 454 00:24:21,480 --> 00:24:25,080 Speaker 1: is that much better. So it's perfectly fine with me 455 00:24:25,160 --> 00:24:28,560 Speaker 1: to eat squid like I have no ethical and kind 456 00:24:28,680 --> 00:24:31,879 Speaker 1: that makes look a sense really, rather than you're transposing 457 00:24:31,920 --> 00:24:35,200 Speaker 1: a cat face onto an octopus, which is adorable. I 458 00:24:35,240 --> 00:24:37,360 Speaker 1: think my wife had a dream like that once where 459 00:24:37,640 --> 00:24:39,760 Speaker 1: where she had an octopi with a cat with a 460 00:24:39,840 --> 00:24:42,200 Speaker 1: cat's head and it was all fuzzy. Did she really 461 00:24:43,200 --> 00:24:45,240 Speaker 1: that's pretty cool? Yeah, And her brother was trying to 462 00:24:45,400 --> 00:24:47,439 Speaker 1: take it from her something. Of course, he was, he 463 00:24:47,480 --> 00:24:49,240 Speaker 1: wanted it. It was that cool. So a lot of 464 00:24:49,240 --> 00:24:52,600 Speaker 1: this is pointing to this problem of having a theory 465 00:24:52,640 --> 00:24:54,960 Speaker 1: of mind. And this is what haw her Zog says 466 00:24:55,000 --> 00:24:57,080 Speaker 1: in the book, This theory of mind. Yeah, this is 467 00:24:57,119 --> 00:24:59,480 Speaker 1: the This is the whole human thing where you can't 468 00:25:00,400 --> 00:25:03,679 Speaker 1: look at another person, another animal, etcetera without sort of 469 00:25:03,680 --> 00:25:07,159 Speaker 1: putting yourself in in that creature's shoes to try and 470 00:25:07,200 --> 00:25:09,960 Speaker 1: think as it thinks on on a very human level. 471 00:25:10,000 --> 00:25:12,399 Speaker 1: This is important because it allows us to empathize with people, 472 00:25:12,480 --> 00:25:14,560 Speaker 1: to try and understand where they're coming from and better 473 00:25:14,560 --> 00:25:16,720 Speaker 1: communicate with them, to better work with them. You know, 474 00:25:16,760 --> 00:25:18,320 Speaker 1: it's the whole reason they have that test and blade 475 00:25:18,359 --> 00:25:21,479 Speaker 1: runner for the for the replicants to to see if 476 00:25:21,480 --> 00:25:23,800 Speaker 1: they were a replicant or not, because the tels were 477 00:25:23,800 --> 00:25:27,359 Speaker 1: in their ability to empathize with somebody else. But with animals, 478 00:25:27,400 --> 00:25:30,080 Speaker 1: of course, it's very It's also very useful in hunting 479 00:25:30,119 --> 00:25:32,720 Speaker 1: them and figuring out what they're doing, because you can't 480 00:25:33,359 --> 00:25:35,280 Speaker 1: ask the cat, hey, what are you up to? You 481 00:25:35,320 --> 00:25:37,480 Speaker 1: have to you have to use the theory of mind 482 00:25:37,520 --> 00:25:39,320 Speaker 1: to try and figure out what it's doing, or the 483 00:25:39,400 --> 00:25:41,320 Speaker 1: chicken that you're trying to chase around the yard, or 484 00:25:41,359 --> 00:25:44,000 Speaker 1: the deer that you're hunting in here in the forest. 485 00:25:44,280 --> 00:25:46,760 Speaker 1: This is the crux of the problem though, because in 486 00:25:46,880 --> 00:25:49,520 Speaker 1: order for you to inhabit the mind of another, whether 487 00:25:49,600 --> 00:25:52,439 Speaker 1: it be you know, a saber tooth tiger or your 488 00:25:52,480 --> 00:25:55,320 Speaker 1: next door neighbor, you have to get in think like them, 489 00:25:55,320 --> 00:25:58,959 Speaker 1: try to predict the future, and empathize like you cannot 490 00:25:58,960 --> 00:26:04,240 Speaker 1: take the empathy away from the prediction model, right, because 491 00:26:04,240 --> 00:26:07,800 Speaker 1: it's sort of hardwired in there. So this is what 492 00:26:07,840 --> 00:26:10,199 Speaker 1: I think leads to feelings of conflicts. So if you 493 00:26:10,280 --> 00:26:12,840 Speaker 1: connect with your potential food source and you ascribe some 494 00:26:12,920 --> 00:26:14,919 Speaker 1: of your own attributes to them, because you're going to 495 00:26:15,000 --> 00:26:18,400 Speaker 1: write and it project yourself onto them, You're gonna unconsciously 496 00:26:18,440 --> 00:26:21,359 Speaker 1: be defining this creature in the shadow of yourself. It's 497 00:26:21,400 --> 00:26:24,159 Speaker 1: like a hitman that gets to know the duty he's 498 00:26:24,200 --> 00:26:27,159 Speaker 1: supposed to whack, right, That's right, you could objectifying that 499 00:26:27,240 --> 00:26:30,360 Speaker 1: person um and you are. And so in this case though, 500 00:26:30,400 --> 00:26:32,600 Speaker 1: if you're you're hunting this, you're about to eat this creature. 501 00:26:32,640 --> 00:26:34,840 Speaker 1: And how Herzog would even say that that all of 502 00:26:34,880 --> 00:26:38,160 Speaker 1: a sudden you you might be feeling something like cannibalism, 503 00:26:38,800 --> 00:26:41,760 Speaker 1: which I think is really interesting, and he even talks 504 00:26:41,800 --> 00:26:47,040 Speaker 1: to about how uh this Columbia University. University historian Richard 505 00:26:47,040 --> 00:26:50,320 Speaker 1: Bullyett says that the more distant we've become from the 506 00:26:50,359 --> 00:26:54,200 Speaker 1: creatures that produce food and fiber and hides, the closer 507 00:26:54,240 --> 00:26:57,040 Speaker 1: our relationships with pets have become, and the more meat 508 00:26:57,119 --> 00:26:59,440 Speaker 1: we eat, the more we feel guilty about it, because 509 00:26:59,440 --> 00:27:02,639 Speaker 1: we've come to know animals as less as them and 510 00:27:02,680 --> 00:27:05,560 Speaker 1: more as us. Yeah. But of course, if you're depending 511 00:27:05,720 --> 00:27:08,800 Speaker 1: on on some forms of meat and some markets, for me, 512 00:27:09,280 --> 00:27:11,639 Speaker 1: you're you're you're so far removed from the source that 513 00:27:11,720 --> 00:27:14,360 Speaker 1: you don't even you know, you have kids that that 514 00:27:14,359 --> 00:27:16,760 Speaker 1: that don't know that a hamburger is a cow, you know, 515 00:27:16,800 --> 00:27:19,000 Speaker 1: for for the longest, because you know, how would you know? 516 00:27:19,320 --> 00:27:21,159 Speaker 1: Well this is then that's the interesting point you make, 517 00:27:21,200 --> 00:27:24,080 Speaker 1: because this is when I for myself personally, and this 518 00:27:24,119 --> 00:27:26,840 Speaker 1: is by the way, I am a vegetarian and this 519 00:27:26,920 --> 00:27:28,960 Speaker 1: is a personal choice, and I'm not, you know, foisting 520 00:27:28,960 --> 00:27:33,400 Speaker 1: this onto anyone, but I am going to say that 521 00:27:33,400 --> 00:27:36,560 Speaker 1: that for me, that the weird point the disconnect came 522 00:27:36,600 --> 00:27:39,879 Speaker 1: when I realized that once again I was opening this 523 00:27:40,040 --> 00:27:43,800 Speaker 1: package of chicken boneless chicken, and I was sliding it 524 00:27:43,800 --> 00:27:47,160 Speaker 1: out into the frying pan and and trying my best 525 00:27:47,200 --> 00:27:49,520 Speaker 1: not to touch it. And I would never touch meat, 526 00:27:49,560 --> 00:27:52,240 Speaker 1: and so I started really like, that's ridiculous that I'm 527 00:27:52,280 --> 00:27:55,200 Speaker 1: about to eat this thing. I cannot touch it. I 528 00:27:55,200 --> 00:27:58,320 Speaker 1: cannot get myself to to touch the flesh of it. Yeah, 529 00:27:58,359 --> 00:28:00,760 Speaker 1: because like the act of cooking is like a transformation. 530 00:28:01,400 --> 00:28:05,680 Speaker 1: It transfers it from flesh to food, and eating food 531 00:28:05,720 --> 00:28:07,480 Speaker 1: is no problem. And yeah, and so many of us 532 00:28:07,720 --> 00:28:10,000 Speaker 1: don't really, especially if you if you're not really a 533 00:28:10,080 --> 00:28:11,760 Speaker 1: cook at all, if you, like say, you just depend 534 00:28:11,840 --> 00:28:14,639 Speaker 1: on fast food as you're or or some sort of 535 00:28:14,680 --> 00:28:19,639 Speaker 1: like microwavable type of prepackaged process thing, you're not really 536 00:28:19,680 --> 00:28:23,560 Speaker 1: touching flesh that much. You're always dealing with food. You've 537 00:28:23,600 --> 00:28:27,399 Speaker 1: got the process part of it, right. So anyway, says again, 538 00:28:27,520 --> 00:28:31,200 Speaker 1: you know, here's pointing to this problem at least for me, 539 00:28:31,720 --> 00:28:34,040 Speaker 1: which was okay, if I if I can't, if I 540 00:28:34,040 --> 00:28:36,240 Speaker 1: can't get my head around doing this one act and 541 00:28:36,320 --> 00:28:38,600 Speaker 1: yet I can do this other act, then then somehow 542 00:28:38,680 --> 00:28:41,520 Speaker 1: for me personally, there's a disconnect that I need to 543 00:28:41,560 --> 00:28:45,040 Speaker 1: square myself with um. And I thought it was really 544 00:28:45,040 --> 00:28:48,840 Speaker 1: interesting that hell, Herzog talks about how we do this 545 00:28:48,920 --> 00:28:51,280 Speaker 1: on some level sometimes either we know, make a conscious 546 00:28:51,320 --> 00:28:54,080 Speaker 1: decision stop eating meat, or you know, we try to 547 00:28:54,120 --> 00:28:58,920 Speaker 1: be better about eating responsibly, right, like you know, like 548 00:28:58,920 --> 00:29:01,160 Speaker 1: cutting it down to not think, um, you know, a 549 00:29:01,240 --> 00:29:04,600 Speaker 1: chicken biscuit for a snack, or or of course another 550 00:29:04,640 --> 00:29:07,520 Speaker 1: one is it's I I've heard it put that you 551 00:29:07,520 --> 00:29:09,640 Speaker 1: should only have your meat serving should be about the 552 00:29:09,640 --> 00:29:12,440 Speaker 1: size of a wallet, and and if you're eating more 553 00:29:12,480 --> 00:29:15,040 Speaker 1: than that, then you're being meat arosco. Or if Michael 554 00:29:15,040 --> 00:29:17,520 Speaker 1: Pollan says, I think something along the lines that during 555 00:29:17,520 --> 00:29:19,520 Speaker 1: the day he's a vegetarian, at night he's a carnivore 556 00:29:20,360 --> 00:29:24,240 Speaker 1: along those lines, and that's because he's he's a wearewolf, right, 557 00:29:24,320 --> 00:29:27,680 Speaker 1: you can't help it. That's an inherited genetic condition like 558 00:29:27,840 --> 00:29:31,680 Speaker 1: mild mannard and that button up shirt. But no, U 559 00:29:32,360 --> 00:29:35,800 Speaker 1: beneath that exterior is a werewolf. But then they also 560 00:29:35,840 --> 00:29:40,160 Speaker 1: say that there's something called semantic moral distancing. That's another tactic. Yeah, 561 00:29:40,160 --> 00:29:42,680 Speaker 1: this is where you're getting into this, like the also 562 00:29:42,720 --> 00:29:44,720 Speaker 1: the CycL linguistics, the use of language, and of course 563 00:29:44,760 --> 00:29:47,120 Speaker 1: in the use of meaning, because the way I'm sort 564 00:29:47,120 --> 00:29:49,680 Speaker 1: of looking at it here is you could you have 565 00:29:49,760 --> 00:29:52,880 Speaker 1: like a simple arrangement like the hitman and the duty's 566 00:29:52,880 --> 00:29:55,960 Speaker 1: gonna whack the person. And then the animal kingdom where 567 00:29:56,440 --> 00:29:58,760 Speaker 1: I am human, everything else is other and I can 568 00:29:58,760 --> 00:30:02,720 Speaker 1: eat anything that's other. Other is objectifying things. Right, But 569 00:30:02,760 --> 00:30:05,280 Speaker 1: then when I use that theory of mind, everything that 570 00:30:05,400 --> 00:30:12,000 Speaker 1: is other potentially becomes to varying degrees me yes, or 571 00:30:12,280 --> 00:30:18,560 Speaker 1: or at least my species. Distance yourself then from me 572 00:30:18,760 --> 00:30:22,080 Speaker 1: than me and you and the other god we're going 573 00:30:22,120 --> 00:30:25,520 Speaker 1: to need so the system, you know, just immediately like 574 00:30:25,560 --> 00:30:28,320 Speaker 1: there's just a quantum leap and its complexity, just its 575 00:30:28,320 --> 00:30:32,520 Speaker 1: semantic complexity, and and so suddenly our world view isn't 576 00:30:32,520 --> 00:30:35,320 Speaker 1: one of us and other of me and then potential food. 577 00:30:35,600 --> 00:30:40,800 Speaker 1: But this this multilayered view in which some things are foods, 578 00:30:40,800 --> 00:30:43,240 Speaker 1: some things are not, some things are are pets, some 579 00:30:43,480 --> 00:30:46,960 Speaker 1: things are flesh, some things are food. It's um. And 580 00:30:47,240 --> 00:30:50,760 Speaker 1: in cyclinguistics they would say, you know, is it that 581 00:30:50,800 --> 00:30:55,720 Speaker 1: we are determining uh? Are we determining our reality through language? 582 00:30:56,160 --> 00:30:59,120 Speaker 1: Or are we defining reality through language? Right? Like it 583 00:30:59,280 --> 00:31:01,960 Speaker 1: like it's like the the flesh food thing. Um, if 584 00:31:01,960 --> 00:31:04,800 Speaker 1: you go to go to the fast food restaurant. You're 585 00:31:04,880 --> 00:31:07,080 Speaker 1: not going to order, Hey give me some dead cow? 586 00:31:07,160 --> 00:31:09,200 Speaker 1: Can you? Can you give me some heated dead cow 587 00:31:09,560 --> 00:31:11,360 Speaker 1: on some bread, because that would be great. Now you 588 00:31:11,400 --> 00:31:14,160 Speaker 1: just ask for a hamburger, and I mean that's and 589 00:31:14,160 --> 00:31:16,240 Speaker 1: and to a to a lesser extent, what is the hamburger? 590 00:31:16,360 --> 00:31:21,320 Speaker 1: It's beef, it's not it's yeah, it's like like all 591 00:31:21,360 --> 00:31:27,240 Speaker 1: these different levels of semantics, different different language differences between 592 00:31:27,680 --> 00:31:30,760 Speaker 1: the food and the flesh, between the thing we're consuming 593 00:31:30,760 --> 00:31:32,480 Speaker 1: in the animal. Yeah. And see you see that that 594 00:31:32,600 --> 00:31:35,840 Speaker 1: moral distancing right through language. And you see that you're 595 00:31:35,840 --> 00:31:40,080 Speaker 1: that we're painting our existence through language, right, we're painting 596 00:31:40,120 --> 00:31:42,360 Speaker 1: this particular reality for us. I'm going to eat a 597 00:31:42,400 --> 00:31:45,360 Speaker 1: hamburger through language, as opposed to I'm about to eat 598 00:31:45,400 --> 00:31:47,480 Speaker 1: some cow meat as you say, are a cow dead 599 00:31:47,520 --> 00:31:50,560 Speaker 1: cow meat? Um? And you see this all through. It's 600 00:31:50,600 --> 00:31:52,640 Speaker 1: not just with animals. You see this at the corporate 601 00:31:52,720 --> 00:31:58,280 Speaker 1: level too, right. Um. You here downsizing or elimination instead 602 00:31:58,280 --> 00:32:01,160 Speaker 1: of you know, I just sacked you or something that 603 00:32:01,640 --> 00:32:04,280 Speaker 1: feels a little bit more true, and or you say 604 00:32:04,400 --> 00:32:07,200 Speaker 1: we wish you you're the best in your future endeavors 605 00:32:07,440 --> 00:32:09,320 Speaker 1: as opposed to don't let the door hit you in 606 00:32:09,320 --> 00:32:11,560 Speaker 1: the butt on the way out right, right, um. And 607 00:32:11,600 --> 00:32:14,000 Speaker 1: these are these little niceties, these a little moral distancing. 608 00:32:14,040 --> 00:32:16,200 Speaker 1: And again in the food world, you can see this 609 00:32:16,240 --> 00:32:18,680 Speaker 1: all over the place. I mean, bacon is a great example, right, 610 00:32:18,720 --> 00:32:21,960 Speaker 1: why don't we just call it again? Except the Germans though, 611 00:32:22,000 --> 00:32:25,360 Speaker 1: And that's the really fascinating thing, because in Germany, if 612 00:32:25,400 --> 00:32:29,360 Speaker 1: you're ordering some, if you're talking about pork, you just 613 00:32:29,400 --> 00:32:32,560 Speaker 1: say swine flesh, which is which is pig flesh or 614 00:32:32,960 --> 00:32:35,680 Speaker 1: rain flesh for cow flesh. They're they're a lot more direct. 615 00:32:36,040 --> 00:32:38,560 Speaker 1: They're so hard nosed as Germans. You kind of I 616 00:32:38,560 --> 00:32:41,600 Speaker 1: gotta admire that, you know, because there's there's no uh, 617 00:32:42,400 --> 00:32:45,000 Speaker 1: there's no lifting of the veil there, the veil has 618 00:32:45,040 --> 00:32:48,760 Speaker 1: been lifted. Um. And I thought this was interesting too, 619 00:32:48,800 --> 00:32:53,040 Speaker 1: And hail Herzog's books. He talks about how powerful it is, 620 00:32:53,120 --> 00:32:56,280 Speaker 1: this uh, this language of cycle linguistics, that if you 621 00:32:56,320 --> 00:33:00,240 Speaker 1: look at something like the Patagonian toothfish, that doesn't sound 622 00:33:00,240 --> 00:33:03,320 Speaker 1: to appetizing, right, Yeah, I'm just imagining a fish like 623 00:33:03,360 --> 00:33:09,080 Speaker 1: get embedded with teeth exactly, Sean, just looking eyes, spiny teeth, 624 00:33:09,520 --> 00:33:11,680 Speaker 1: just not something you necessarily want to eat. Um. And 625 00:33:11,720 --> 00:33:14,800 Speaker 1: it really that's what that sounds like, right, patagony and 626 00:33:14,840 --> 00:33:20,720 Speaker 1: toothfish sounds very prehistoric. But behold the Chilean sea bass. Oh, 627 00:33:20,840 --> 00:33:23,640 Speaker 1: now it sounds tasty. Doesn't that sound like a foodie's 628 00:33:24,200 --> 00:33:26,920 Speaker 1: biggest dream there? Well, that's like the dolphin, right, not 629 00:33:26,920 --> 00:33:30,400 Speaker 1: not the dolphin, the mammal, but the dolphin fish to 630 00:33:30,800 --> 00:33:32,560 Speaker 1: better market. I believe that's the one that they now 631 00:33:32,600 --> 00:33:34,960 Speaker 1: call my am I right, yeah, that's right, because that 632 00:33:35,040 --> 00:33:38,760 Speaker 1: sounds delightful, whereas dolphin it sounds particularly problematic because for 633 00:33:38,800 --> 00:33:41,040 Speaker 1: some reason it has the same name as this mammal 634 00:33:41,160 --> 00:33:44,960 Speaker 1: that is uh is you know, crazy smart? Yeah? I 635 00:33:44,960 --> 00:33:46,880 Speaker 1: mean you don't want to eat flipper? Right, um. And 636 00:33:46,920 --> 00:33:49,520 Speaker 1: then they also talked about to the Canadian government describing 637 00:33:49,600 --> 00:33:52,760 Speaker 1: a seal hunt right as a harvest, a coal, a 638 00:33:52,800 --> 00:33:55,280 Speaker 1: management plan. And you've got Peta on the other side 639 00:33:55,400 --> 00:33:58,360 Speaker 1: saying no, it's a massacre, it's a slaughter, it's centrocity. 640 00:33:58,520 --> 00:34:03,080 Speaker 1: So it's very interesting to see how how approaching um 641 00:34:03,120 --> 00:34:05,840 Speaker 1: this reality for each for no matter where you are 642 00:34:05,840 --> 00:34:09,120 Speaker 1: on the side of the issue. Yeah, there's language, you 643 00:34:09,200 --> 00:34:12,800 Speaker 1: can you can summon the appropriate language to to color 644 00:34:12,840 --> 00:34:15,480 Speaker 1: it however you want. Yeah, so I don't know. I 645 00:34:15,520 --> 00:34:18,440 Speaker 1: do think it's interesting too that Peter started using Save 646 00:34:18,520 --> 00:34:20,520 Speaker 1: the Sea Kittens to try to get people a little 647 00:34:20,520 --> 00:34:25,400 Speaker 1: bit more aware of fish as as um you know, 648 00:34:25,480 --> 00:34:29,800 Speaker 1: I guess as as peschetarians might look at them, um like, hey, 649 00:34:30,120 --> 00:34:33,600 Speaker 1: don't we eat the fish the little kittens. Yeah, I 650 00:34:33,600 --> 00:34:36,640 Speaker 1: don't know about sea kitten. Yeah, but I did think 651 00:34:36,680 --> 00:34:40,279 Speaker 1: it was interesting the creative use of language there. So 652 00:34:40,280 --> 00:34:43,279 Speaker 1: there you go. Some some thoughts on this. Um, it's 653 00:34:43,360 --> 00:34:49,320 Speaker 1: it's tricky business, this this subject. Yeah, it's um and 654 00:34:49,000 --> 00:34:51,840 Speaker 1: and and I definitely want to reiterate, you know, not 655 00:34:51,840 --> 00:34:56,160 Speaker 1: not being judging about anybody's decisions on what they eat 656 00:34:56,239 --> 00:34:59,880 Speaker 1: and why they eat it. But I guess I can, 657 00:35:00,000 --> 00:35:03,759 Speaker 1: I do tend to to air toward, uh digging the 658 00:35:03,920 --> 00:35:06,840 Speaker 1: idea that that we should be at least a little 659 00:35:06,840 --> 00:35:10,439 Speaker 1: open about about why we eat the things we eat 660 00:35:10,680 --> 00:35:12,600 Speaker 1: and uh and even even if we're not open all 661 00:35:12,640 --> 00:35:14,200 Speaker 1: the time about it, that it will at least have 662 00:35:14,280 --> 00:35:18,120 Speaker 1: those moments of clarity where we we realize that that, well, 663 00:35:18,160 --> 00:35:20,759 Speaker 1: this this thing that I'm eating, it's delicious as heck, 664 00:35:20,800 --> 00:35:22,799 Speaker 1: but it also used to be a thing running around 665 00:35:22,840 --> 00:35:26,160 Speaker 1: on four legs. And that's not necessarily good, not necessarily bad, 666 00:35:26,239 --> 00:35:29,080 Speaker 1: but I think it's an important reality. Um, you've only 667 00:35:29,239 --> 00:35:33,759 Speaker 1: in dealing with the logistics of our current food situation. Well, 668 00:35:33,800 --> 00:35:35,719 Speaker 1: and I think to write now because you say the 669 00:35:35,760 --> 00:35:38,200 Speaker 1: current food food situation. This is not a conversation we'd 670 00:35:38,200 --> 00:35:40,279 Speaker 1: be having a hundred years ago, because probably you or 671 00:35:40,280 --> 00:35:42,480 Speaker 1: I would be out in the backyard ringing a chicken's 672 00:35:42,520 --> 00:35:45,839 Speaker 1: neck and you wouldn't you would understand what it took 673 00:35:45,880 --> 00:35:48,560 Speaker 1: to get that to the plate, and our podcast would 674 00:35:48,560 --> 00:35:51,239 Speaker 1: be Uh, what format would it be on? I guess 675 00:35:51,239 --> 00:35:55,640 Speaker 1: we've been like an old record or what was the tube? Uh? Yeah, 676 00:35:55,719 --> 00:35:58,440 Speaker 1: I don't know. You see a hundred years ago, well, gosh, 677 00:35:58,640 --> 00:36:00,640 Speaker 1: I don't even think the talkies were in. Maybe it 678 00:36:00,680 --> 00:36:04,200 Speaker 1: would be a newspaper columns it would have yeah, yeah, 679 00:36:05,880 --> 00:36:08,359 Speaker 1: I don't know, make up your reality there. Well cool. 680 00:36:08,480 --> 00:36:10,880 Speaker 1: If any of you have any thoughts, definitely let us know. 681 00:36:11,000 --> 00:36:14,280 Speaker 1: We would love to hear everyone's thoughts about our food situations, 682 00:36:14,320 --> 00:36:15,520 Speaker 1: you know, and we want to hear from you know, 683 00:36:15,560 --> 00:36:20,239 Speaker 1: if you're a hardcore vegan or a nugent esque. If 684 00:36:20,239 --> 00:36:23,160 Speaker 1: you are Ted Nugent, we want to hear from you. Yeah. Maybe, 685 00:36:23,320 --> 00:36:26,040 Speaker 1: and uh in all the places you fall in between. 686 00:36:26,120 --> 00:36:28,840 Speaker 1: Let us know. There are there animals that, uh that 687 00:36:28,960 --> 00:36:31,880 Speaker 1: you're that everyone else seems fine with eating that you 688 00:36:32,320 --> 00:36:35,040 Speaker 1: rule out. Are there animals that no one wants to eat, 689 00:36:35,080 --> 00:36:36,640 Speaker 1: but do you think would be a great thing to 690 00:36:36,640 --> 00:36:40,279 Speaker 1: cook up? Let us know. Yeah, and also Zuckerman, if 691 00:36:40,280 --> 00:36:41,879 Speaker 1: you're out there, we want to hear from you, because 692 00:36:41,880 --> 00:36:44,919 Speaker 1: apparently he's doing this whole thing from from food. He's 693 00:36:44,960 --> 00:36:47,640 Speaker 1: only going to eat animals that he kills personally. Yeah, 694 00:36:47,960 --> 00:36:50,160 Speaker 1: which is I don't know, that's just kind of creepy. 695 00:36:50,280 --> 00:36:52,560 Speaker 1: It's just and in a little old kind of macho 696 00:36:52,920 --> 00:36:55,160 Speaker 1: for me. I mean, someone who has a lot of 697 00:36:55,160 --> 00:36:56,719 Speaker 1: time on their hands and a lot of money in 698 00:36:56,719 --> 00:37:00,480 Speaker 1: their pockets. Yeah, just applies to animals that now a veggie. 699 00:37:00,680 --> 00:37:06,400 Speaker 1: He's not Upen's not he's not slaughtering egg plants. Yeah alright, 700 00:37:06,400 --> 00:37:07,960 Speaker 1: well yeah, let us know. You can find us on 701 00:37:07,960 --> 00:37:10,000 Speaker 1: Facebook and Twitter. We are blow the Mind on both 702 00:37:10,000 --> 00:37:12,720 Speaker 1: of those, and you can also drop us an email 703 00:37:12,760 --> 00:37:20,200 Speaker 1: at blow the Mind at how stuff works dot com. 704 00:37:20,280 --> 00:37:22,840 Speaker 1: Be sure to check out our new video podcast, Stuff 705 00:37:22,920 --> 00:37:25,520 Speaker 1: from the Future. Join how Stuff Work staff as we 706 00:37:25,600 --> 00:37:29,120 Speaker 1: explore the most promising and perplexing possibilities of tomorrow,