1 00:00:00,080 --> 00:00:01,640 Speaker 1: I'm Manny, I'm Noah. 2 00:00:01,360 --> 00:00:03,440 Speaker 2: And this is Devin, and this is no such thing. 3 00:00:03,640 --> 00:00:06,240 Speaker 2: A show where we settle our dumb arguments in yours 4 00:00:06,280 --> 00:00:10,520 Speaker 2: by actually doing the research. On today's episode, are suburban 5 00:00:10,560 --> 00:00:12,400 Speaker 2: dogs happier than city dogs. 6 00:00:13,320 --> 00:00:16,439 Speaker 3: I'm a scientist, so I have a lot of trouble 7 00:00:16,640 --> 00:00:19,079 Speaker 3: giving black and white answers. But if I had to 8 00:00:19,079 --> 00:00:23,840 Speaker 3: give a black and white answer, I would say. 9 00:00:23,079 --> 00:00:29,360 Speaker 4: No, there's no no such thing, no such thing, such thing. 10 00:00:38,520 --> 00:00:39,600 Speaker 5: Maybe you'll make them back. 11 00:00:44,159 --> 00:00:48,559 Speaker 2: Hey, uh, this is Devin. Thought this would be a 12 00:00:48,560 --> 00:00:52,000 Speaker 2: good way to start this week's episode. I'm not walking 13 00:00:52,080 --> 00:00:56,200 Speaker 2: my dog, Allie. I guess this episode this week is 14 00:00:56,320 --> 00:01:01,200 Speaker 2: kind of about something I've been grappling with. When I 15 00:01:01,200 --> 00:01:03,960 Speaker 2: first moved to the city, I was someone who was 16 00:01:04,360 --> 00:01:07,000 Speaker 2: pretty dead set on not having a dog in the city. 17 00:01:07,040 --> 00:01:09,160 Speaker 2: I thought it was really sad to see dogs in 18 00:01:09,160 --> 00:01:12,440 Speaker 2: a city, you know, washing him just like poop on 19 00:01:12,480 --> 00:01:16,000 Speaker 2: the sidewalk. I thought, like, there's no place for them 20 00:01:16,000 --> 00:01:18,399 Speaker 2: to really run around. They don't have enough space. The 21 00:01:18,440 --> 00:01:26,560 Speaker 2: apartments are way too small. But now it's been going 22 00:01:26,600 --> 00:01:30,399 Speaker 2: on five years now that I myself have owned the 23 00:01:30,480 --> 00:01:35,640 Speaker 2: dog in the city, and I think, you know, COVID 24 00:01:35,800 --> 00:01:40,600 Speaker 2: was a pretty good time for me to put aside 25 00:01:41,480 --> 00:01:44,040 Speaker 2: all these preconceived notions I had about dogs in the 26 00:01:44,120 --> 00:01:47,760 Speaker 2: city because I was bored in the house. But now 27 00:01:49,800 --> 00:01:54,000 Speaker 2: I'm starting to think about it, if that was a 28 00:01:54,040 --> 00:01:58,520 Speaker 2: selfish choice, and if I'm really doing the right thing. 29 00:01:59,640 --> 00:02:03,240 Speaker 2: I have my dog ally live in the city versus 30 00:02:03,320 --> 00:02:08,080 Speaker 2: like being in a suburbs, are on a farm somewhere. 31 00:02:09,080 --> 00:02:10,760 Speaker 4: What made you think about this now? 32 00:02:11,680 --> 00:02:15,359 Speaker 2: So we're recording this right after the holidays, and around 33 00:02:15,360 --> 00:02:17,320 Speaker 2: the holidays, you know a lot of people go home 34 00:02:17,360 --> 00:02:20,160 Speaker 2: and bring their dogs with them. So I've been seeing 35 00:02:20,280 --> 00:02:23,120 Speaker 2: all these tiktoks. So I'll share this in a group 36 00:02:23,120 --> 00:02:27,320 Speaker 2: and I'll have you guys describe them. But at a 37 00:02:27,360 --> 00:02:32,560 Speaker 2: top level, I'll say they these tiktoks are people documenting 38 00:02:32,880 --> 00:02:39,080 Speaker 2: their city dogs going to the suburbs or let's say 39 00:02:39,080 --> 00:02:47,200 Speaker 2: a more rural area. This is all right. 40 00:02:47,320 --> 00:02:50,200 Speaker 4: The onscreen text says, when you bring your dog from 41 00:02:50,200 --> 00:02:53,760 Speaker 4: your apartment to your parents' house for the holidays, and 42 00:02:53,840 --> 00:02:57,160 Speaker 4: the dog is kind of running around the house, obviously 43 00:02:57,280 --> 00:03:02,120 Speaker 4: very excited, wagging its tape, perhaps excited at the amount 44 00:03:02,120 --> 00:03:03,079 Speaker 4: of space that's in there. 45 00:03:04,120 --> 00:03:06,600 Speaker 2: That's one let's put that into one bucket of videos. 46 00:03:07,080 --> 00:03:09,560 Speaker 2: The second bucket of videos I'm seeing are people who 47 00:03:09,600 --> 00:03:13,120 Speaker 2: are moving from the city to the suburbs a Morboro 48 00:03:13,320 --> 00:03:16,480 Speaker 2: area lift their dogs. So let me say, you just TikTok. 49 00:03:19,960 --> 00:03:23,560 Speaker 4: The caption says, introducing our apartment dog to his new 50 00:03:23,600 --> 00:03:25,560 Speaker 4: house and his very own backyard. 51 00:03:25,760 --> 00:03:26,800 Speaker 1: And it is really sweet. 52 00:03:26,960 --> 00:03:30,280 Speaker 4: You can clearly tell that this dog is so happy 53 00:03:30,320 --> 00:03:35,600 Speaker 4: about the green, the greenery h in the space and 54 00:03:35,760 --> 00:03:40,760 Speaker 4: just being able to sprint. Like there are no situations 55 00:03:40,760 --> 00:03:43,400 Speaker 4: in New York that I've seen where a dog can 56 00:03:43,480 --> 00:03:45,280 Speaker 4: just sprint unless it's at a park. 57 00:03:45,560 --> 00:03:48,680 Speaker 2: Yeah, all flee showers, right, It's only a certain amount of. 58 00:03:48,600 --> 00:03:51,840 Speaker 4: Time at someone's apartment, you cannot. A dog cannot sprint 59 00:03:51,960 --> 00:03:54,320 Speaker 4: because it will immediately just be at the other end 60 00:03:54,320 --> 00:03:54,400 Speaker 4: of it. 61 00:03:54,520 --> 00:03:57,640 Speaker 2: We're not in that text bragget where you could sprint 62 00:03:57,640 --> 00:04:02,440 Speaker 2: through the apartment oli tries. But so yeah, this stuff has, 63 00:04:02,600 --> 00:04:05,760 Speaker 2: you know, has me thinking, I'm at the point of 64 00:04:05,800 --> 00:04:07,880 Speaker 2: my life where I am in no rush to leave 65 00:04:07,920 --> 00:04:09,680 Speaker 2: the city. I think I could live the rest of 66 00:04:09,720 --> 00:04:12,680 Speaker 2: my life living in the city. But I am starting 67 00:04:12,680 --> 00:04:15,920 Speaker 2: to think and be reminded of this hesitation I had 68 00:04:16,000 --> 00:04:18,680 Speaker 2: initially about having a dog in a city where it's like, 69 00:04:19,520 --> 00:04:22,240 Speaker 2: is he actually living a worst off life in the 70 00:04:22,279 --> 00:04:26,360 Speaker 2: city because I want a dog and I want to 71 00:04:26,400 --> 00:04:29,039 Speaker 2: live in the city. Would he be happier if I 72 00:04:29,120 --> 00:04:30,039 Speaker 2: moved to the suburbs? 73 00:04:30,640 --> 00:04:32,680 Speaker 4: And I don't want to make you feel any worse, 74 00:04:32,720 --> 00:04:33,960 Speaker 4: but you got a big ass dog. 75 00:04:34,040 --> 00:04:37,200 Speaker 2: I have a huge dog. And that was another thing 76 00:04:37,240 --> 00:04:38,520 Speaker 2: that I said. I said, if I'm going to have 77 00:04:38,560 --> 00:04:41,440 Speaker 2: a dog in a city, he can't be big. But 78 00:04:42,120 --> 00:04:46,799 Speaker 2: Ali is eighty plus pounds, so he's a big boy. 79 00:04:49,320 --> 00:04:53,440 Speaker 2: And I do wonder if there's enough room for him here, 80 00:04:53,880 --> 00:04:56,320 Speaker 2: if he would enjoy life more if we were in 81 00:04:56,360 --> 00:04:59,320 Speaker 2: the suburbs. Now, Noah, you also have a dog here. 82 00:04:59,440 --> 00:05:03,480 Speaker 5: Yeah, he he hates the city. He's smaller, he's about 83 00:05:03,480 --> 00:05:07,000 Speaker 5: thirty pounds. His name is Yeah, his name is riz Rizzo, 84 00:05:07,920 --> 00:05:11,359 Speaker 5: and we got him a couple of years ago now, 85 00:05:12,000 --> 00:05:15,160 Speaker 5: and yeah, he's never liked I think he likes us now, 86 00:05:15,200 --> 00:05:17,000 Speaker 5: but he hasn't liked the city. You can tell he 87 00:05:17,080 --> 00:05:20,440 Speaker 5: just doesn't like being outside. He's anxious and he's very 88 00:05:20,760 --> 00:05:24,880 Speaker 5: just like reactive to noise and stuff. Our man's on prozac. 89 00:05:24,880 --> 00:05:28,200 Speaker 2: Now, yeah, Rozak before which I. 90 00:05:28,120 --> 00:05:30,719 Speaker 4: Guess helps, but how do you identify that when the 91 00:05:30,760 --> 00:05:32,400 Speaker 4: dog needs to take that kind of. 92 00:05:32,320 --> 00:05:36,000 Speaker 5: Medication, like it like he would basically if we take 93 00:05:36,040 --> 00:05:37,680 Speaker 5: him out on a walk, he would like shut down 94 00:05:37,720 --> 00:05:40,479 Speaker 5: and like try to just sit and like be really 95 00:05:40,520 --> 00:05:42,320 Speaker 5: freeze up. And this has helped with that, I think 96 00:05:42,360 --> 00:05:45,279 Speaker 5: at least. But then you know, we'll take him to 97 00:05:45,560 --> 00:05:50,880 Speaker 5: Julia's family in Virginia. They have a huge backdoor area 98 00:05:51,320 --> 00:05:53,520 Speaker 5: fenced in so he can take him off leash and 99 00:05:53,520 --> 00:05:56,520 Speaker 5: he runs around there and it's like obviously he's having 100 00:05:56,560 --> 00:05:59,640 Speaker 5: way more fight versus like yeah versus like we'll try 101 00:05:59,640 --> 00:06:02,000 Speaker 5: to take him to Prospect Park or something, but he's 102 00:06:02,040 --> 00:06:04,960 Speaker 5: so nervous. Just it's more like the walk over. 103 00:06:04,800 --> 00:06:06,520 Speaker 1: There, it's ten to. 104 00:06:06,520 --> 00:06:10,479 Speaker 5: Fifteen minutes, and he just gets so worked up in 105 00:06:10,520 --> 00:06:12,040 Speaker 5: there that then like we get there and he just 106 00:06:12,120 --> 00:06:14,720 Speaker 5: kind of wants to just go home. But when you 107 00:06:14,800 --> 00:06:17,239 Speaker 5: do take him to that backyard area, he's like running 108 00:06:17,279 --> 00:06:18,919 Speaker 5: around and doing kind of what we just saw in 109 00:06:18,960 --> 00:06:21,760 Speaker 5: the stick Tuck, like something clearly happier. Yeah, and just 110 00:06:21,800 --> 00:06:23,800 Speaker 5: like just more relaxed and exploring. 111 00:06:24,080 --> 00:06:29,000 Speaker 2: So yeah, I guess the question is, knowing what we 112 00:06:29,080 --> 00:06:35,120 Speaker 2: know now, do we think suburban dogs on a wole 113 00:06:35,760 --> 00:06:39,200 Speaker 2: are happier than city dogs. Many will start with you 114 00:06:39,279 --> 00:06:41,880 Speaker 2: since you don't have any dog in this way. 115 00:06:41,880 --> 00:06:47,560 Speaker 4: Okay, very nice, very nice. Yeah, just as someone who's 116 00:06:47,600 --> 00:06:49,719 Speaker 4: like so removed from this. To me, it's kind of 117 00:06:49,720 --> 00:06:52,599 Speaker 4: a no brainer, like, yeah, the big the more grass, 118 00:06:52,640 --> 00:06:55,440 Speaker 4: the more space, the dogs are probably gonna be happier. 119 00:06:55,480 --> 00:06:57,599 Speaker 4: But I don't own a dog. Maybe, but if I 120 00:06:57,680 --> 00:07:00,640 Speaker 4: had owned a dog, there'd be more new to it. 121 00:07:00,920 --> 00:07:03,280 Speaker 4: To me, it seems like definitely. 122 00:07:05,000 --> 00:07:07,479 Speaker 2: Yeah, I you know, I think the reason why we're 123 00:07:07,480 --> 00:07:09,440 Speaker 2: here is because I think I agree. 124 00:07:09,800 --> 00:07:12,240 Speaker 4: Another question for me is like, all right, if it 125 00:07:12,240 --> 00:07:15,000 Speaker 4: does turn out to be the case that suburb dogs 126 00:07:15,000 --> 00:07:18,280 Speaker 4: are way happier, at what point is it unethical to 127 00:07:18,360 --> 00:07:19,600 Speaker 4: have a dog in the city. 128 00:07:20,240 --> 00:07:26,680 Speaker 2: Wow. Yeah, it's a really good point not to. 129 00:07:26,640 --> 00:07:29,000 Speaker 4: Put my two dog owning friends on the spot that 130 00:07:29,040 --> 00:07:31,560 Speaker 4: I'm just saying, like I'm not I don't think dogs 131 00:07:31,880 --> 00:07:34,840 Speaker 4: can't be happy in the city, No, no, but are 132 00:07:34,920 --> 00:07:35,760 Speaker 4: they supposed to be here? 133 00:07:36,680 --> 00:07:39,679 Speaker 5: My suspicion would be overall most dogs would be happier 134 00:07:39,720 --> 00:07:44,920 Speaker 5: with more space, more quiet. Generally, I like dogs are individual, 135 00:07:45,600 --> 00:07:47,680 Speaker 5: like not just be a dog oled lover, but it's 136 00:07:47,720 --> 00:07:50,440 Speaker 5: like they are different. So like some dogs can't even 137 00:07:50,440 --> 00:07:52,600 Speaker 5: see other dogs that they're gonna flip out, allowing that, 138 00:07:52,640 --> 00:07:56,360 Speaker 5: like every dog is an individual, I do wonder kind of, 139 00:07:56,400 --> 00:07:58,320 Speaker 5: all right, if all the basic needs are met, they're 140 00:07:58,320 --> 00:08:01,280 Speaker 5: getting attention, food, and every everything else that makes him happy. 141 00:08:02,600 --> 00:08:04,800 Speaker 5: I don't know, if you know, on a grander scale, 142 00:08:05,240 --> 00:08:08,640 Speaker 5: if one year in the city would be that much 143 00:08:08,680 --> 00:08:12,720 Speaker 5: worse necessarily than one year in the country, because like, I. 144 00:08:12,720 --> 00:08:14,320 Speaker 1: Don't think like my dog's miserable. 145 00:08:14,800 --> 00:08:18,840 Speaker 5: I know if we moved next month, you know, upstate 146 00:08:19,000 --> 00:08:23,360 Speaker 5: or something and had a backyard, I would see different 147 00:08:23,360 --> 00:08:26,160 Speaker 5: behavior from him that I would interpret as being happier. 148 00:08:27,360 --> 00:08:30,640 Speaker 5: You know, Like, I don't know if someone could make 149 00:08:30,680 --> 00:08:33,320 Speaker 5: an argument that the city is better for any dog. 150 00:08:34,880 --> 00:08:36,720 Speaker 2: After the break, we go inside the mind of a 151 00:08:36,760 --> 00:08:39,480 Speaker 2: dog and see what they see, smell. 152 00:08:39,480 --> 00:08:39,719 Speaker 3: And know. 153 00:08:53,160 --> 00:08:53,880 Speaker 2: Okay, we're back. 154 00:08:54,320 --> 00:08:55,560 Speaker 1: I'm I'm Noah. 155 00:08:55,920 --> 00:08:58,720 Speaker 2: This is Devin. So last time we talked, we were 156 00:08:58,720 --> 00:09:01,560 Speaker 2: trying to figure out if dogs in the city are 157 00:09:01,559 --> 00:09:04,679 Speaker 2: living worse off lives than dogs who live in the suburbs. 158 00:09:05,000 --> 00:09:08,600 Speaker 2: So as I was looking into people who study dogs, 159 00:09:08,640 --> 00:09:11,440 Speaker 2: there was one name that I kept seeing an article 160 00:09:11,520 --> 00:09:12,280 Speaker 2: after article. 161 00:09:12,559 --> 00:09:16,680 Speaker 3: I'm Alexandra Horowitz. I'm a senior research fellow of the 162 00:09:16,720 --> 00:09:19,319 Speaker 3: Dog Cognition Lab at Barnard College. 163 00:09:19,520 --> 00:09:22,680 Speaker 2: So Alexandra is one of the leading dog cognition experts 164 00:09:22,720 --> 00:09:26,120 Speaker 2: in North America. If you read anything about dog cognition, 165 00:09:26,400 --> 00:09:29,959 Speaker 2: it's either a study she's done, or she's being asked 166 00:09:30,040 --> 00:09:32,520 Speaker 2: to interpret a study that someone else has done. And 167 00:09:32,559 --> 00:09:35,400 Speaker 2: she's also written an entire book on it. It's called 168 00:09:35,600 --> 00:09:38,880 Speaker 2: Inside of a Dog What Dogs See, Smell and Know. 169 00:09:39,559 --> 00:09:41,880 Speaker 2: So as I was reading through her book to prepare 170 00:09:41,920 --> 00:09:45,160 Speaker 2: for this interview, I quickly realized that I knew very 171 00:09:45,200 --> 00:09:47,480 Speaker 2: little about dogs. You know, I've grown up with dogs 172 00:09:47,520 --> 00:09:50,040 Speaker 2: my whole life, and I've thought I knew a lot 173 00:09:50,120 --> 00:09:54,280 Speaker 2: about them. So before we get to our answer, I 174 00:09:54,320 --> 00:09:55,800 Speaker 2: feel like it would be helpful for us to do 175 00:09:55,840 --> 00:09:58,839 Speaker 2: a little spark note version going through the book and 176 00:09:59,160 --> 00:10:02,360 Speaker 2: learning a bit more about what dogs see, smell. 177 00:10:02,559 --> 00:10:05,720 Speaker 5: And now. 178 00:10:07,480 --> 00:10:09,760 Speaker 2: Chapter one, how wolves became Dogs. 179 00:10:10,400 --> 00:10:15,320 Speaker 3: The story of domestication is actually constantly being evolved as 180 00:10:15,480 --> 00:10:19,440 Speaker 3: we have new or more powerful ways to study what 181 00:10:19,559 --> 00:10:24,080 Speaker 3: happened thousands of years ago. Our best guest now, based 182 00:10:24,120 --> 00:10:31,920 Speaker 3: on genetic evidence, is that dogs diverged from some ancestor wolf, 183 00:10:32,320 --> 00:10:35,720 Speaker 3: an ancestor of the current gray wolf that you see 184 00:10:35,720 --> 00:10:40,120 Speaker 3: in North America. Probably fourteen to twenty thousand years ago. 185 00:10:40,320 --> 00:10:44,800 Speaker 3: There were probably multiple domestication events, meaning different places at 186 00:10:44,840 --> 00:10:48,800 Speaker 3: different times, and maybe even repeatedly in a place where 187 00:10:49,080 --> 00:10:52,520 Speaker 3: there was a group of these proto dogs or like 188 00:10:52,840 --> 00:10:58,000 Speaker 3: friendly wolves who started to distinguish themselves from the other 189 00:10:58,040 --> 00:11:03,360 Speaker 3: wolves and started to affiliate with people, probably breeding intentional 190 00:11:03,440 --> 00:11:07,040 Speaker 3: breeding where I picked two dogs I like, and I 191 00:11:07,120 --> 00:11:09,440 Speaker 3: make them breed and I get a new dog that 192 00:11:09,480 --> 00:11:12,000 Speaker 3: has all the great features of those two dogs. That 193 00:11:12,040 --> 00:11:14,560 Speaker 3: didn't happen for quite a long time. It was basically 194 00:11:14,800 --> 00:11:19,079 Speaker 3: just self selection on the part of these wolves who 195 00:11:19,120 --> 00:11:22,520 Speaker 3: wanted to be around people, and also some self selection 196 00:11:22,600 --> 00:11:25,720 Speaker 3: of people who were agreeable to breeding around these wolves. 197 00:11:26,080 --> 00:11:30,920 Speaker 3: That started domestication, and eventually it became purebred breeding, and 198 00:11:31,080 --> 00:11:33,280 Speaker 3: now you have pugs. 199 00:11:36,160 --> 00:11:39,640 Speaker 4: I'm having trouble imagining the first guy who was like, 200 00:11:40,000 --> 00:11:44,200 Speaker 4: I need this thing to be mine to a fucking wolf. 201 00:11:45,040 --> 00:11:46,520 Speaker 4: What was wrong with that person? 202 00:11:46,640 --> 00:11:47,760 Speaker 2: Wolves are kind of cute. 203 00:11:48,120 --> 00:11:51,040 Speaker 4: No no, no, they look great. They look sick, But 204 00:11:51,080 --> 00:11:55,280 Speaker 4: I'm saying that I want one, but I wouldn't try 205 00:11:55,320 --> 00:11:55,760 Speaker 4: to do it. 206 00:11:55,760 --> 00:11:57,520 Speaker 5: It's you know, survival of the fittest sort of thing 207 00:11:57,559 --> 00:12:00,200 Speaker 5: where you would be doing a lot more crazy up 208 00:12:00,200 --> 00:12:01,840 Speaker 5: in your life. So yes, you would feel maybe more 209 00:12:01,880 --> 00:12:04,520 Speaker 5: equipped to even tackle that sort of exactly point no 210 00:12:04,559 --> 00:12:05,280 Speaker 5: offense bottom. 211 00:12:05,320 --> 00:12:06,640 Speaker 1: You know, you want to be able to go out 212 00:12:06,640 --> 00:12:07,920 Speaker 1: there and you're a different type of made. 213 00:12:08,000 --> 00:12:11,360 Speaker 4: Yeah, it's like we had real men back then, none 214 00:12:11,400 --> 00:12:13,880 Speaker 4: taking I've got the softest hands of anyone I know. 215 00:12:16,200 --> 00:12:21,120 Speaker 2: Chapter two, Making your Dog so jumping off of pugs. 216 00:12:21,200 --> 00:12:21,360 Speaker 4: Right. 217 00:12:21,760 --> 00:12:25,560 Speaker 2: Dog breeds are always a big topic of discussion. We 218 00:12:25,679 --> 00:12:30,760 Speaker 2: as a culture love to associate certain breeds with certain things, 219 00:12:31,280 --> 00:12:33,720 Speaker 2: so we think about like how pitbulls have such a 220 00:12:33,720 --> 00:12:40,080 Speaker 2: bad rap excel bullies And she has interesting analogy in 221 00:12:40,120 --> 00:12:45,480 Speaker 2: her book where she talks about how certain breeds have 222 00:12:46,120 --> 00:12:51,280 Speaker 2: certain tendencies and she compares that to addiction and humans. 223 00:12:51,840 --> 00:12:53,200 Speaker 1: M I'm intrigued. 224 00:12:56,160 --> 00:12:59,360 Speaker 3: Yeah, I wonder if it was the best malogy to use. 225 00:12:59,440 --> 00:13:03,200 Speaker 3: But you know, people like to think that when you 226 00:13:03,240 --> 00:13:05,120 Speaker 3: get a pure bred dog, you're getting a kind of 227 00:13:05,160 --> 00:13:09,400 Speaker 3: guaranteed dog whose behavior is guaranteed. You know, if you 228 00:13:09,480 --> 00:13:12,600 Speaker 3: want a dog to herd your sheep, you're not going 229 00:13:12,679 --> 00:13:15,520 Speaker 3: to get yourself like a Maltese. Right, you're going to 230 00:13:15,559 --> 00:13:18,400 Speaker 3: get yourself a certain kind of dog who is bred 231 00:13:19,160 --> 00:13:22,640 Speaker 3: to herd sheep. But no dog comes out of the 232 00:13:23,080 --> 00:13:27,880 Speaker 3: womb hurting sheep. Right, They just have a propensity to 233 00:13:28,400 --> 00:13:31,880 Speaker 3: do types of things which to us looks like hurting sheep, 234 00:13:31,960 --> 00:13:35,920 Speaker 3: right to respond to human signaling, to be sensitive to 235 00:13:36,000 --> 00:13:39,120 Speaker 3: the motion of animals that are sort of sheep sized, 236 00:13:40,200 --> 00:13:43,520 Speaker 3: to want to kind of get them all in one place, 237 00:13:43,600 --> 00:13:48,160 Speaker 3: and importantly not to predate them, not to kill them. 238 00:13:48,679 --> 00:13:52,600 Speaker 3: So it has that tendency, you still have to shape 239 00:13:52,600 --> 00:13:55,640 Speaker 3: that tendency. So, for instance, if a sheep dog never 240 00:13:55,720 --> 00:13:59,040 Speaker 3: meets any sheep, they might do sort of hurting like 241 00:13:59,160 --> 00:14:04,120 Speaker 3: things with little kids or with people who enter your house, 242 00:14:04,600 --> 00:14:06,640 Speaker 3: but it's never going to look like sheep hurting, and 243 00:14:06,720 --> 00:14:08,719 Speaker 3: of course they'll never heard sheep, you know. 244 00:14:08,920 --> 00:14:10,040 Speaker 6: And similarly with our. 245 00:14:09,920 --> 00:14:15,640 Speaker 3: Genetic tendencies, we might have tendencies towards certain behaviors, but 246 00:14:15,679 --> 00:14:19,360 Speaker 3: if you're never exposed to any instances of that behavior, 247 00:14:19,400 --> 00:14:22,320 Speaker 3: that tendency won't manifest in the way it will somebody 248 00:14:22,320 --> 00:14:24,440 Speaker 3: else who is exposed to it. Right, it does have 249 00:14:24,480 --> 00:14:30,120 Speaker 3: an opportunity to take lots of an addictive substance. That 250 00:14:30,200 --> 00:14:33,880 Speaker 3: person if they have a tendency to addiction, is more 251 00:14:34,000 --> 00:14:36,800 Speaker 3: likely to become addicted to the substance. But if they 252 00:14:36,840 --> 00:14:40,240 Speaker 3: never have the exposure, they're not gonna become addicted. For 253 00:14:40,320 --> 00:14:43,680 Speaker 3: dogs like pitbulls, you know, people think, well, that dog 254 00:14:43,840 --> 00:14:48,160 Speaker 3: is bred to be aggressive by the way. It's pitbulls now, 255 00:14:48,200 --> 00:14:51,920 Speaker 3: But it used to be Doberman pincher, used to be Rottweilers, 256 00:14:52,000 --> 00:14:55,080 Speaker 3: used to be German shepherds, right. We just that says 257 00:14:55,080 --> 00:14:57,600 Speaker 3: something about us, not about the dogs. And what it 258 00:14:57,640 --> 00:15:00,280 Speaker 3: says about us is that we have used these dogs 259 00:15:00,280 --> 00:15:05,880 Speaker 3: in ways which are occasionally aggressive, and therefore the whole 260 00:15:05,920 --> 00:15:09,800 Speaker 3: breed gets marked as being aggressive. But around the turn 261 00:15:09,840 --> 00:15:15,880 Speaker 3: of the twentieth century, piples were nannies for people's kids. 262 00:15:16,000 --> 00:15:18,760 Speaker 3: They were seen as gentle, sweet dogs. The dog hasn't 263 00:15:18,800 --> 00:15:19,520 Speaker 3: changed that much. 264 00:15:19,880 --> 00:15:22,200 Speaker 2: I think we've both done the DNA test for our dogs. 265 00:15:22,240 --> 00:15:22,360 Speaker 5: Yea. 266 00:15:23,480 --> 00:15:27,640 Speaker 2: In her books she has this a footnote that's basically 267 00:15:27,640 --> 00:15:31,840 Speaker 2: calling out the accuracy of these tests. Sounds a bit 268 00:15:31,880 --> 00:15:34,560 Speaker 2: word because these tests are not exactly cheap. It's spent 269 00:15:34,600 --> 00:15:36,360 Speaker 2: a little bit of money on it. So did I 270 00:15:36,440 --> 00:15:40,040 Speaker 2: waste my money getting a DNA test for my dog? 271 00:15:40,280 --> 00:15:42,440 Speaker 2: And then like oh, I know he's some sort of shepherd. 272 00:15:42,440 --> 00:15:44,760 Speaker 2: Makes I want to see what all the other breeds are. Well. 273 00:15:44,800 --> 00:15:46,880 Speaker 3: I wrote it in two thousand and seven, it came 274 00:15:46,880 --> 00:15:50,640 Speaker 3: out in two thousand and nine. I'm revising it now, 275 00:15:50,760 --> 00:15:56,320 Speaker 3: and the DNA tests have advanced considerably since that's I 276 00:15:56,320 --> 00:15:58,320 Speaker 3: don't think you wasted your money, But it depends on 277 00:15:58,360 --> 00:16:01,960 Speaker 3: what you wanted with that. If you have a very 278 00:16:02,040 --> 00:16:05,120 Speaker 3: unusual breed or a dog where nobody else with that 279 00:16:05,240 --> 00:16:09,840 Speaker 3: dog has submitted their dog for DNA analysis, you probably 280 00:16:09,840 --> 00:16:12,680 Speaker 3: wouldn't get as a result on your dog that it 281 00:16:12,800 --> 00:16:15,960 Speaker 3: is that breed. They're just looking at similarities of the 282 00:16:16,000 --> 00:16:19,720 Speaker 3: genome to other breeds they have on file, and so 283 00:16:19,840 --> 00:16:22,040 Speaker 3: even you if you get your result and it's like 284 00:16:22,080 --> 00:16:28,840 Speaker 3: a shepherd pity mix, let's say I don't know correctly, yeah, 285 00:16:29,320 --> 00:16:33,680 Speaker 3: And then what it's saying is like, you know, some 286 00:16:33,720 --> 00:16:36,920 Speaker 3: of the genome is very close to shepherds, other shepherds. 287 00:16:36,920 --> 00:16:39,200 Speaker 3: We have on file people who say they have a 288 00:16:39,240 --> 00:16:42,560 Speaker 3: German Shepherd or a Dutch shepherd, and some of the 289 00:16:42,640 --> 00:16:46,600 Speaker 3: genome is close to these other dogs genomes. So we 290 00:16:46,640 --> 00:16:48,720 Speaker 3: have on file where we know it's a Staffordshire bull 291 00:16:48,800 --> 00:16:51,280 Speaker 3: Terrier or some other dog which we call a pity, 292 00:16:51,720 --> 00:16:55,400 Speaker 3: and it's similar in that way. But that doesn't mean 293 00:16:55,480 --> 00:16:58,480 Speaker 3: that the dad of your or the mom was a 294 00:16:58,480 --> 00:16:59,520 Speaker 3: pity and the dad was a. 295 00:16:59,440 --> 00:17:00,400 Speaker 6: Shepherd, right. 296 00:17:00,440 --> 00:17:05,240 Speaker 3: It means that, like, overall they're closely. They're like they've 297 00:17:05,280 --> 00:17:08,600 Speaker 3: got cousins, they got similar to aunts and uncles, and right, 298 00:17:08,680 --> 00:17:09,919 Speaker 3: it's most similar. 299 00:17:09,560 --> 00:17:11,600 Speaker 2: To So she is like, you should think about these 300 00:17:11,640 --> 00:17:16,040 Speaker 2: tests as like ancestry dot com and not like paternity tests. 301 00:17:16,560 --> 00:17:17,440 Speaker 1: Yeah, yeah, yeah. 302 00:17:19,240 --> 00:17:25,280 Speaker 2: Chapter three, Training Dogs, there is this world of dog 303 00:17:25,359 --> 00:17:27,639 Speaker 2: TikTok that is really upset with the current way that 304 00:17:27,680 --> 00:17:31,080 Speaker 2: people treat dogs. They don't like this new what they 305 00:17:31,119 --> 00:17:34,080 Speaker 2: call gentle parenting of dogs. Right, they're like, why you 306 00:17:34,119 --> 00:17:36,480 Speaker 2: shouldn't let your dog in your bed. You gotta be 307 00:17:36,560 --> 00:17:38,520 Speaker 2: the alpha the pack. You don't show the dog whose 308 00:17:38,520 --> 00:17:40,720 Speaker 2: boss dog is gonna come for you exactly. But she 309 00:17:40,960 --> 00:17:44,760 Speaker 2: says that this you need to be alpha thing is 310 00:17:44,800 --> 00:17:48,400 Speaker 2: actually based on a huge misconception with wolves. 311 00:17:50,520 --> 00:17:52,679 Speaker 3: I wrote the book like over fifteen years ago, and 312 00:17:52,720 --> 00:17:56,119 Speaker 3: this idea is still really sticky idea. It came from 313 00:17:56,240 --> 00:17:58,439 Speaker 3: where it was popularized by Sasar Milan. 314 00:18:00,119 --> 00:18:04,040 Speaker 7: When good dogs go bad, there's one man who's their 315 00:18:04,160 --> 00:18:06,600 Speaker 7: best friend sees you a line. 316 00:18:07,680 --> 00:18:09,399 Speaker 2: No dog is too much for me to handle. 317 00:18:10,160 --> 00:18:12,800 Speaker 3: Who talks about that as part of his philosophy that 318 00:18:12,880 --> 00:18:16,240 Speaker 3: wolves live impacts where there's an alpha, and so again 319 00:18:16,320 --> 00:18:19,760 Speaker 3: looking at natural behavior of relatives, which makes sense in 320 00:18:19,800 --> 00:18:23,959 Speaker 3: some cases for some reasons, and saying like, so in 321 00:18:24,000 --> 00:18:27,240 Speaker 3: your pack, in your house, you have to be the 322 00:18:27,240 --> 00:18:28,120 Speaker 3: alpha of your dog. 323 00:18:28,200 --> 00:18:29,760 Speaker 6: Otherwise they al sort of be the alpha of you. 324 00:18:30,240 --> 00:18:34,520 Speaker 3: Unfortunately, it's super wrong. And what's wrong is, you know, 325 00:18:34,560 --> 00:18:37,280 Speaker 3: at the time, that's how we thought wolf packs lived. 326 00:18:37,720 --> 00:18:39,800 Speaker 3: That's because it was hard to study wolves in the 327 00:18:39,800 --> 00:18:42,879 Speaker 3: wild because we didn't This was pre GPS, et cetera. 328 00:18:43,800 --> 00:18:47,680 Speaker 3: So people studying wolves studied captive wolves, and in particular, 329 00:18:47,680 --> 00:18:51,000 Speaker 3: a guy named Schenkel studied a bunch of captive wolves 330 00:18:51,840 --> 00:18:56,520 Speaker 3: who were just coincidentally, I guess, mostly like teenage male wolves, 331 00:18:57,280 --> 00:18:59,840 Speaker 3: and they were captive, and they were in a small enclosure. 332 00:19:00,000 --> 00:19:02,320 Speaker 3: And what he observed through looking at their behavior is 333 00:19:02,320 --> 00:19:04,320 Speaker 3: that they formed a little bit of a dominance hierarchy 334 00:19:04,880 --> 00:19:06,880 Speaker 3: where there were some wolves who called them the alphas, 335 00:19:08,000 --> 00:19:11,520 Speaker 3: who would eat first right, who'd get the first new resource, etc. 336 00:19:11,800 --> 00:19:14,000 Speaker 3: Could sleep where they wanted, et cetera. And then there 337 00:19:14,000 --> 00:19:18,160 Speaker 3: were other wolves who kind of like tried to fight 338 00:19:18,280 --> 00:19:20,600 Speaker 3: them for that position when they were prepared, sort of 339 00:19:20,600 --> 00:19:21,399 Speaker 3: the beta wolves. 340 00:19:21,600 --> 00:19:23,840 Speaker 6: So it was a power struggle, is what he saw. 341 00:19:24,800 --> 00:19:27,600 Speaker 3: But as it turned out, when people started actually studying 342 00:19:27,600 --> 00:19:30,080 Speaker 3: wolves in the wild, they observed that actually wolves live 343 00:19:30,160 --> 00:19:33,520 Speaker 3: in family packs. They're not a bunch of teenage boys 344 00:19:33,560 --> 00:19:37,200 Speaker 3: hanging out together in a small space. Instead, they're families, 345 00:19:37,600 --> 00:19:40,320 Speaker 3: which is great actually makes dogs. It easy for dogs 346 00:19:40,320 --> 00:19:43,560 Speaker 3: to kind of fit in our family where if there 347 00:19:43,600 --> 00:19:46,080 Speaker 3: is an alpha, that's just the parents. Yeah, I mean 348 00:19:46,160 --> 00:19:48,840 Speaker 3: parents aren't alphas in a way. They sort of control, 349 00:19:49,040 --> 00:19:53,240 Speaker 3: but they don't control through violence, and the young are 350 00:19:53,240 --> 00:19:56,879 Speaker 3: not trying to overtake the parents ever, right, Like the 351 00:19:56,960 --> 00:20:00,200 Speaker 3: parent's control is about like keeping the family unit together. There, 352 00:20:00,600 --> 00:20:03,360 Speaker 3: the parents' control is because they know how things go. 353 00:20:04,480 --> 00:20:09,040 Speaker 3: So wolves live in family units with their young and 354 00:20:09,080 --> 00:20:14,680 Speaker 3: maybe they're young's young and there is no dominance hierarchy 355 00:20:14,800 --> 00:20:17,080 Speaker 3: that the way that people are thinking. So the alpha 356 00:20:17,080 --> 00:20:19,840 Speaker 3: tack idea that then we should bring this antiquated idea 357 00:20:20,560 --> 00:20:25,920 Speaker 3: of wolf behavior into our living with dogs is bananas 358 00:20:26,440 --> 00:20:29,280 Speaker 3: at best, it's just a weird idea. At worst, it's 359 00:20:29,320 --> 00:20:35,360 Speaker 3: like just cruel and is leading to this ridiculous relationship 360 00:20:35,400 --> 00:20:40,040 Speaker 3: with your dog where you're punishing them for no reason. 361 00:20:40,160 --> 00:20:43,440 Speaker 3: So it's going to create a fear based relationship. So, yeah, 362 00:20:43,440 --> 00:20:47,200 Speaker 3: it's bad. I'm sorry to hear. It's still on TikTok 363 00:20:47,320 --> 00:20:48,280 Speaker 3: making the sounds. 364 00:20:48,560 --> 00:20:52,320 Speaker 2: Yeah it is, But I feel like it's evolving right 365 00:20:52,440 --> 00:20:55,800 Speaker 2: in like I think about even now, like the way 366 00:20:56,040 --> 00:20:58,879 Speaker 2: arm raising my dog versus like growing up in a 367 00:20:58,960 --> 00:21:02,040 Speaker 2: way like my dad talk about the family dog right 368 00:21:02,480 --> 00:21:04,240 Speaker 2: like you're saying for me, it's more so like how 369 00:21:04,240 --> 00:21:06,920 Speaker 2: do I keep you safe and under control? But there 370 00:21:07,040 --> 00:21:11,000 Speaker 2: is still this this sect of people basically being like 371 00:21:11,320 --> 00:21:13,600 Speaker 2: if you don't dominate your dog, your dog will dominate you. 372 00:21:13,840 --> 00:21:17,320 Speaker 3: Yeah, which has never happened. Dogs don't dominate people. Dogs 373 00:21:17,400 --> 00:21:22,639 Speaker 3: out of fear or fright or excitement. My bite might 374 00:21:22,840 --> 00:21:26,240 Speaker 3: try to grab food out of your hand. Whatever, it's 375 00:21:26,280 --> 00:21:27,040 Speaker 3: not dominating. 376 00:21:27,240 --> 00:21:27,479 Speaker 8: You know. 377 00:21:27,640 --> 00:21:30,040 Speaker 3: They're not ready to take control the household, take on 378 00:21:30,119 --> 00:21:34,520 Speaker 3: the taxes, the car. They're not trying to do that stuff. 379 00:21:35,400 --> 00:21:37,359 Speaker 3: They are trying to understand how to live in a 380 00:21:37,440 --> 00:21:40,919 Speaker 3: human household. And it's not obvious to dogs. There are 381 00:21:40,920 --> 00:21:44,080 Speaker 3: a whole other species. I find it super paradoxical that 382 00:21:44,160 --> 00:21:48,400 Speaker 3: we want to live with dogs because they are not human, right, 383 00:21:48,440 --> 00:21:51,520 Speaker 3: because they are different, they act differently, and then for 384 00:21:51,560 --> 00:21:53,480 Speaker 3: some reason we don't want to let them be dogs. 385 00:21:53,560 --> 00:21:56,399 Speaker 6: Yeah, we're worried about them being dogs. There is a 386 00:21:56,480 --> 00:21:57,680 Speaker 6: balance to be struck. 387 00:21:57,880 --> 00:22:00,800 Speaker 3: As you're saying, you still have to if you're living 388 00:22:00,800 --> 00:22:02,879 Speaker 3: in dogs around other people, you still have to make 389 00:22:02,920 --> 00:22:06,000 Speaker 3: sure they don't injure other people. So there's something, there's 390 00:22:06,040 --> 00:22:11,720 Speaker 3: some kind of control or managing or just understanding that 391 00:22:12,440 --> 00:22:16,639 Speaker 3: you need to impart to them. But it's not. You 392 00:22:16,680 --> 00:22:19,439 Speaker 3: don't need to dominate them. They're not going to dominate you. 393 00:22:21,400 --> 00:22:23,000 Speaker 3: And that's a shame. 394 00:22:23,240 --> 00:22:27,919 Speaker 4: That's really interesting. This was kind of a foundational like 395 00:22:29,200 --> 00:22:33,160 Speaker 4: structure of Caesar millions like teachings and that yeah show. 396 00:22:33,280 --> 00:22:38,360 Speaker 2: It was all about being the alpha and showing the dogs. Look, 397 00:22:38,520 --> 00:22:41,440 Speaker 2: he got results, right, And I don't even think she 398 00:22:41,480 --> 00:22:43,520 Speaker 2: would deny that he got results, but I think, yeah, 399 00:22:43,600 --> 00:22:46,600 Speaker 2: she's saying, it's like it's fear based results, right, Like 400 00:22:46,640 --> 00:22:48,560 Speaker 2: the dog is only doing the thing because it is 401 00:22:48,640 --> 00:22:51,040 Speaker 2: afraid of you. It is not doing the thing because 402 00:22:51,040 --> 00:22:56,000 Speaker 2: it thinks it's the right thing to do. Chapter four, 403 00:22:57,160 --> 00:23:02,480 Speaker 2: The sensus so dogs have this really cool way of breathing. 404 00:23:05,720 --> 00:23:09,000 Speaker 3: Their whole anatomy is constructed to kind of enable them 405 00:23:09,040 --> 00:23:10,040 Speaker 3: to smell the world. 406 00:23:10,520 --> 00:23:11,680 Speaker 6: They're really good sniffers. 407 00:23:11,680 --> 00:23:14,840 Speaker 3: They can sniff like seven times a second, whereas if 408 00:23:14,880 --> 00:23:17,760 Speaker 3: we do that, we would hyperventilate. When you get a 409 00:23:17,800 --> 00:23:20,520 Speaker 3: smell in your nose and you want to get rid 410 00:23:20,520 --> 00:23:22,320 Speaker 3: of it, we know how to do that. You like, 411 00:23:22,440 --> 00:23:24,840 Speaker 3: exhale the smell, like you sort of shoot it at 412 00:23:24,840 --> 00:23:29,040 Speaker 3: your nose as best you can. But if dogs, if 413 00:23:29,080 --> 00:23:31,359 Speaker 3: they're seeing the world through smell, they don't want to 414 00:23:31,400 --> 00:23:33,000 Speaker 3: shoot that image out of their. 415 00:23:32,920 --> 00:23:36,520 Speaker 8: Nose, right, so they actually exhale through the side slits 416 00:23:36,640 --> 00:23:40,040 Speaker 8: of their nose, those little slits which you can visibly 417 00:23:40,080 --> 00:23:43,760 Speaker 8: see on your dog, and that allows them to kind 418 00:23:43,800 --> 00:23:48,520 Speaker 8: of continue to let odors come in through the main banarees, 419 00:23:48,560 --> 00:23:49,480 Speaker 8: the main nostril. 420 00:23:50,080 --> 00:23:52,760 Speaker 1: So that's why they're better at following sense and exacts. 421 00:23:52,800 --> 00:23:58,120 Speaker 2: And she talks about it in terms of like thinking 422 00:23:58,119 --> 00:24:00,800 Speaker 2: about us blinking be sort of like. 423 00:24:00,960 --> 00:24:05,400 Speaker 3: With vision, if you needed to take these really long blinks, 424 00:24:06,040 --> 00:24:08,080 Speaker 3: you know, as long as your eyes were open, you 425 00:24:08,119 --> 00:24:11,200 Speaker 3: need to blink them shut. We don't we blink very briefly. 426 00:24:11,680 --> 00:24:16,920 Speaker 3: Why because closing our eyes disappears the world suddenly. For them, 427 00:24:17,280 --> 00:24:20,800 Speaker 3: sending odors out their nose means they're not getting any 428 00:24:20,960 --> 00:24:24,040 Speaker 3: information about the smells of the world. So they have 429 00:24:24,119 --> 00:24:29,080 Speaker 3: this continual stream and they exhale separately, and that exhale 430 00:24:29,080 --> 00:24:32,680 Speaker 3: actually also sort of stirs up odors, more odors maybe 431 00:24:32,720 --> 00:24:35,040 Speaker 3: from the grounds that could be rushed into their nose. 432 00:24:35,119 --> 00:24:35,960 Speaker 6: So that's very cool. 433 00:24:36,359 --> 00:24:39,160 Speaker 2: So study show that trained dogs can actually smell out 434 00:24:39,240 --> 00:24:43,240 Speaker 2: cancer at pretty high rates. Wow, cancer, Yeah, if they're training, 435 00:24:43,280 --> 00:24:45,760 Speaker 2: you know, obviously there have to be trained to know what 436 00:24:45,800 --> 00:24:46,679 Speaker 2: cancer smells like. 437 00:24:47,000 --> 00:24:48,840 Speaker 4: I didn't know cancer had a smell. 438 00:24:49,520 --> 00:24:52,159 Speaker 2: It does dogs, and dogs are pretty good at detecting it. 439 00:24:52,440 --> 00:24:52,720 Speaker 4: Wow. 440 00:24:53,000 --> 00:24:54,560 Speaker 1: I guess if they can smell drugs, why not? 441 00:24:54,760 --> 00:24:58,760 Speaker 2: Yeah? When cancer cancer something probably more helpful exactly. 442 00:24:58,560 --> 00:25:02,679 Speaker 4: Yeah, stop finding my drugs. 443 00:25:04,080 --> 00:25:07,919 Speaker 3: And their whole anatomy is really constructed to allow them 444 00:25:08,000 --> 00:25:11,119 Speaker 3: to smell more richly than we do. Which is not 445 00:25:11,160 --> 00:25:13,000 Speaker 3: to say they don't have great vision as well. Their 446 00:25:13,040 --> 00:25:15,960 Speaker 3: vision is fine. They have two color vision. 447 00:25:16,440 --> 00:25:17,399 Speaker 7: They're not color blind. 448 00:25:17,440 --> 00:25:23,600 Speaker 2: They are not color blind. What they're not color blindsion? 449 00:25:27,000 --> 00:25:28,520 Speaker 1: How does their vision compare to ours? 450 00:25:30,920 --> 00:25:34,040 Speaker 3: They can have a wider peripheral field than we do, 451 00:25:34,119 --> 00:25:36,560 Speaker 3: so they can see more out of the sides. The 452 00:25:36,600 --> 00:25:40,040 Speaker 3: science clearly shows that they have two color vision, sort 453 00:25:40,080 --> 00:25:43,000 Speaker 3: of like maybe like what it's like for us at dusk, 454 00:25:43,160 --> 00:25:45,919 Speaker 3: you know, when the bright colors of outdoors become just 455 00:25:45,960 --> 00:25:49,439 Speaker 3: sort of muted, and they actually have a faster flicker 456 00:25:49,520 --> 00:25:51,640 Speaker 3: fusion rate than we do, which means like the rate 457 00:25:51,640 --> 00:25:55,800 Speaker 3: at which their eyes turn the series of snapshots that 458 00:25:55,840 --> 00:25:59,600 Speaker 3: we're taking all the time into the feeling of smooth motion. 459 00:26:01,359 --> 00:26:03,399 Speaker 3: And the result of that is that they can notice 460 00:26:03,520 --> 00:26:06,240 Speaker 3: things that flicker because they're designed for human eyes, like 461 00:26:06,280 --> 00:26:11,080 Speaker 3: fluorescent lights, they notice them flickering. So their perceptual world, 462 00:26:11,119 --> 00:26:14,439 Speaker 3: between the smell and the vision, just getting a glimpse 463 00:26:14,480 --> 00:26:16,800 Speaker 3: at that, you start to see like, oh yeah, they're 464 00:26:16,840 --> 00:26:20,600 Speaker 3: living in like a slightly parallel universe to ours. What 465 00:26:20,720 --> 00:26:24,360 Speaker 3: they're going to notice and be concerned with and care 466 00:26:24,440 --> 00:26:27,120 Speaker 3: about is going to be a little different than us 467 00:26:27,160 --> 00:26:31,919 Speaker 3: staring at our screens, right, things like that. That's you know, 468 00:26:31,960 --> 00:26:33,920 Speaker 3: some dogs will look at a screen, but that's not 469 00:26:33,960 --> 00:26:35,960 Speaker 3: going to be mostly engaging to them. Now, if there 470 00:26:36,000 --> 00:26:38,880 Speaker 3: were an odor screen and odors were shooting out of there, 471 00:26:39,920 --> 00:26:40,880 Speaker 3: you know, thumbs up. 472 00:26:42,720 --> 00:26:44,520 Speaker 1: The kind of frame rate thing is interesting. 473 00:26:45,680 --> 00:26:49,159 Speaker 2: Yeah, I wonder if someone has made a you know, 474 00:26:49,320 --> 00:26:52,240 Speaker 2: how they have for dogs. There's like a channel it's 475 00:26:52,240 --> 00:26:55,320 Speaker 2: like TV for dogs, or there's some YouTube. I wonder 476 00:26:55,320 --> 00:26:56,480 Speaker 2: if they changed the frame rate on it. 477 00:26:56,840 --> 00:26:58,439 Speaker 1: I mean, yeah, they better if if they're with it. 478 00:26:58,960 --> 00:27:01,160 Speaker 5: Yeah, Oh I hope. So over there for the dog's sick, 479 00:27:01,280 --> 00:27:03,879 Speaker 5: I mean, I hate seeing you know, when you go 480 00:27:03,920 --> 00:27:06,440 Speaker 5: to some people's houses and they have emotions smoothing on 481 00:27:07,240 --> 00:27:09,119 Speaker 5: watching a regular movie or something. 482 00:27:09,240 --> 00:27:10,200 Speaker 1: Does your dog watch TV? 483 00:27:11,520 --> 00:27:15,720 Speaker 2: Not really? If there's a certain noise, he'll look over, 484 00:27:16,280 --> 00:27:20,040 Speaker 2: like crying babies, what about dog dogs barking? He'll look 485 00:27:20,040 --> 00:27:23,560 Speaker 2: at and try to turn his head. At chapter five, 486 00:27:24,320 --> 00:27:27,359 Speaker 2: what a dog knows? All right, So now this takes 487 00:27:27,480 --> 00:27:32,120 Speaker 2: us to a little segment I'm gonna call is Ali racist? 488 00:27:32,640 --> 00:27:34,840 Speaker 1: Oh yeah, wow, let's get to it. 489 00:27:34,880 --> 00:27:39,560 Speaker 2: Okay, my ex is a white lady, and there will 490 00:27:39,600 --> 00:27:43,560 Speaker 2: be times where I take Ali to the park and 491 00:27:43,600 --> 00:27:47,920 Speaker 2: he'll see a white woman walking and he'll sprint over 492 00:27:47,960 --> 00:27:51,800 Speaker 2: to that person, get kind of close, and then it 493 00:27:51,800 --> 00:27:54,000 Speaker 2: seems like, oh, he sort of realizes, oh, this is 494 00:27:54,040 --> 00:27:55,919 Speaker 2: not Sarah, this is not who I think it is. 495 00:27:55,960 --> 00:27:59,199 Speaker 2: And then he started just walks away Sarah. When she 496 00:27:59,280 --> 00:28:01,399 Speaker 2: walks Ali, she says he will do the same thing 497 00:28:01,400 --> 00:28:03,160 Speaker 2: if he sees like a black guy walking with sort 498 00:28:03,200 --> 00:28:07,280 Speaker 2: of longer hair. And initially I was like, oh, our 499 00:28:07,359 --> 00:28:09,440 Speaker 2: dogs to some of the grey I don't want to 500 00:28:09,440 --> 00:28:13,720 Speaker 2: say racist, but you know, like they have sort of like, yeah, 501 00:28:14,000 --> 00:28:17,639 Speaker 2: these are exactly these associations. But then you talk a 502 00:28:17,640 --> 00:28:20,119 Speaker 2: bit about you know, like people from the military when 503 00:28:20,160 --> 00:28:22,280 Speaker 2: they come home after being gone for a long time, 504 00:28:22,320 --> 00:28:24,359 Speaker 2: how it usually takes the dog like a second or 505 00:28:24,400 --> 00:28:28,919 Speaker 2: two to recognize them. Hen talk to why that is. 506 00:28:30,240 --> 00:28:34,080 Speaker 3: Yeah, yeah, so it's not they aren't using vision, right, 507 00:28:34,160 --> 00:28:37,160 Speaker 3: So there are some visual cues that that might be Sarah, 508 00:28:37,320 --> 00:28:40,600 Speaker 3: or when Ali's with Sarah, that might be you. Some 509 00:28:40,720 --> 00:28:46,040 Speaker 3: visual clues include skin color, body shape, or size, like 510 00:28:46,160 --> 00:28:49,320 Speaker 3: also where you might expect to see somebody or not. Right, 511 00:28:49,520 --> 00:28:53,400 Speaker 3: All of those things are clues. But then on closer examination, 512 00:28:53,560 --> 00:28:55,640 Speaker 3: they really identify you by your smell. 513 00:28:56,040 --> 00:28:58,920 Speaker 6: I mean, they know us by her smell. That's the ultimate. 514 00:28:59,680 --> 00:29:02,240 Speaker 3: If somebody looked just like me but smell different, they 515 00:29:02,240 --> 00:29:05,560 Speaker 3: wouldn't think it's me. They smell just like me but 516 00:29:05,640 --> 00:29:07,400 Speaker 3: look a little different. I think that would give them 517 00:29:07,400 --> 00:29:09,600 Speaker 3: a little bit of pause, but they would kind of 518 00:29:09,600 --> 00:29:13,840 Speaker 3: believe it's me, right, So what's happening is they're always 519 00:29:13,920 --> 00:29:17,640 Speaker 3: rushing over to that white lady and being like yes, 520 00:29:17,720 --> 00:29:22,600 Speaker 3: and then like, oh no, it does not smell like Sarah. 521 00:29:22,840 --> 00:29:24,560 Speaker 1: Yeah, I mean I believe it. I mean Rizzo. 522 00:29:25,880 --> 00:29:28,600 Speaker 5: I've been walked by and like there'll be like some 523 00:29:28,640 --> 00:29:30,760 Speaker 5: white woman getting out of an uber or something on 524 00:29:30,760 --> 00:29:31,880 Speaker 5: a black and he's like jumping. 525 00:29:31,960 --> 00:29:32,280 Speaker 3: It's like. 526 00:29:34,080 --> 00:29:36,640 Speaker 5: Or like it's like I'm walking him, but then some 527 00:29:38,040 --> 00:29:40,200 Speaker 5: short white guy walks by and he's jumping on it. 528 00:29:40,200 --> 00:29:41,720 Speaker 1: It's like, look, like, who do you think is walking 529 00:29:41,920 --> 00:29:42,400 Speaker 1: right now? 530 00:29:43,000 --> 00:29:45,400 Speaker 2: He's like there's two of you. Yes, you're a twin. 531 00:29:47,320 --> 00:29:50,440 Speaker 1: Yeah. 532 00:29:50,440 --> 00:29:52,200 Speaker 2: So you know they're a little bit racist, but they're 533 00:29:52,200 --> 00:29:57,080 Speaker 2: also really good at reading like human behavior, right, Like 534 00:29:57,720 --> 00:30:02,200 Speaker 2: if dogs notice something is off, they really really like 535 00:30:02,280 --> 00:30:06,440 Speaker 2: tune into that. Alie gets to me into trouble. This 536 00:30:06,680 --> 00:30:08,920 Speaker 2: a lot. If I'm walking around the neighborhood and someone's 537 00:30:08,960 --> 00:30:12,080 Speaker 2: acting a bit off, like he'll just stop and stare 538 00:30:12,520 --> 00:30:14,200 Speaker 2: and I'm like come on, come on, come on, and 539 00:30:14,240 --> 00:30:17,160 Speaker 2: it's like, yeah, we are so good at like noticing 540 00:30:17,160 --> 00:30:20,560 Speaker 2: the thing and like keeping it moving. And like dogs like, yeah, 541 00:30:20,600 --> 00:30:23,160 Speaker 2: when they notice the thing, it's like he just zeros 542 00:30:23,360 --> 00:30:28,080 Speaker 2: in on it. Like why are they so attuned to 543 00:30:28,880 --> 00:30:32,040 Speaker 2: I guess things that like are even just a little bit, 544 00:30:32,080 --> 00:30:34,560 Speaker 2: like even someone walking with like a limp, right, Like 545 00:30:35,120 --> 00:30:38,280 Speaker 2: that's something that he picks up on immediately totally. 546 00:30:38,760 --> 00:30:40,600 Speaker 3: Yeah, you know, I think kids are like this too 547 00:30:41,520 --> 00:30:43,960 Speaker 3: for a similar reason, Like they're not in our culture 548 00:30:44,640 --> 00:30:47,880 Speaker 3: like you just you just said, we see somebody who's 549 00:30:47,960 --> 00:30:51,120 Speaker 3: acting a little aberrant, like we move a little bit away, 550 00:30:51,200 --> 00:30:53,080 Speaker 3: or we don't stare right at them. We don't want 551 00:30:53,120 --> 00:30:56,760 Speaker 3: to provoke that person or make them feel uncomfortable or 552 00:30:56,760 --> 00:31:00,360 Speaker 3: whatever it is. And the dog doesn't have any of 553 00:31:00,360 --> 00:31:07,880 Speaker 3: that sensibility, right, so instead the dog, you know, stares 554 00:31:08,040 --> 00:31:12,160 Speaker 3: trying to get more information. We think it's rude. They're 555 00:31:12,240 --> 00:31:15,640 Speaker 3: just trying to understand what that creature is doing. 556 00:31:15,840 --> 00:31:16,040 Speaker 5: Right? 557 00:31:16,160 --> 00:31:18,360 Speaker 3: Is that a threat? Is that something you know I 558 00:31:18,360 --> 00:31:22,520 Speaker 3: should alert you to. They might start barking right like hey, look, hey, look, 559 00:31:22,560 --> 00:31:26,200 Speaker 3: And you're like I'm trying not to look, and I'm like, hey, look. 560 00:31:31,560 --> 00:31:38,120 Speaker 2: You've probably seen there's this dog uses buttons to communicate. 561 00:31:38,280 --> 00:31:39,480 Speaker 4: Oh yeah, I've seen this. 562 00:31:39,560 --> 00:31:40,440 Speaker 1: I've been following us. 563 00:31:40,400 --> 00:31:44,840 Speaker 2: For a long time to communicate with achievements, allegedly. Allegedly. 564 00:31:45,480 --> 00:31:48,200 Speaker 2: I have very strong opinions about this. I have no 565 00:31:48,320 --> 00:31:51,120 Speaker 2: science to back it up, but I have very strong opinions. 566 00:31:51,320 --> 00:31:53,320 Speaker 2: So one of the big dogs that does this is 567 00:31:53,320 --> 00:31:57,960 Speaker 2: Bunny on TikTok. I trust that Bunny uses the buttons 568 00:31:58,000 --> 00:32:01,320 Speaker 2: to say, I want to eat, I want to go outside. 569 00:32:01,800 --> 00:32:05,160 Speaker 2: Basic commands. Right, All of our dogs do this to something. 570 00:32:05,160 --> 00:32:06,400 Speaker 2: They're not pressing buttons. 571 00:32:06,120 --> 00:32:08,240 Speaker 1: But they do it to you when you're just looking 572 00:32:08,280 --> 00:32:08,480 Speaker 1: at you. 573 00:32:09,280 --> 00:32:09,480 Speaker 7: Yeah. 574 00:32:09,920 --> 00:32:13,240 Speaker 2: Ali does the thing now where when he wants a treat, 575 00:32:13,280 --> 00:32:15,600 Speaker 2: he'll literally just sit by where. 576 00:32:15,360 --> 00:32:15,840 Speaker 7: The treats are. 577 00:32:16,080 --> 00:32:19,040 Speaker 2: Yeah, and I know that means he wants to treat. 578 00:32:19,240 --> 00:32:23,480 Speaker 2: That's how he's communicating with it. Where Bunny starts to 579 00:32:23,520 --> 00:32:29,320 Speaker 2: lose me is they got Bunny talking about like I'm 580 00:32:29,320 --> 00:32:32,440 Speaker 2: depressed and my antidepressants. 581 00:32:34,720 --> 00:32:38,520 Speaker 6: You're big sad? Why because dad? 582 00:32:38,560 --> 00:32:38,960 Speaker 2: Bye? 583 00:32:39,760 --> 00:32:40,600 Speaker 4: Are you big sad? 584 00:32:40,640 --> 00:32:41,280 Speaker 6: Because Dad? 585 00:32:41,320 --> 00:32:44,440 Speaker 4: By this is tough to watch. 586 00:32:45,400 --> 00:32:50,040 Speaker 1: Okayd do medicine. 587 00:32:50,240 --> 00:32:52,520 Speaker 5: I can only speak for my dog, but my dog 588 00:32:52,600 --> 00:32:55,760 Speaker 5: is not having thoughts. I look at those eyes and 589 00:32:55,800 --> 00:32:57,800 Speaker 5: there's there's not a lot going on here. 590 00:32:59,400 --> 00:33:02,080 Speaker 2: How are you communicating to the dog that you're depressed. 591 00:33:02,680 --> 00:33:05,000 Speaker 2: How are you communicating to the dog that if you 592 00:33:05,120 --> 00:33:06,920 Speaker 2: take this thing, it's going to make you feel better. 593 00:33:07,160 --> 00:33:11,080 Speaker 3: Yeah, what people are hopeful about with the buttons is 594 00:33:11,080 --> 00:33:14,160 Speaker 3: that their dogs are saying something they can't say otherwise. 595 00:33:15,120 --> 00:33:19,440 Speaker 3: But it's it's not scientific to say that they are, Like, 596 00:33:19,480 --> 00:33:22,840 Speaker 3: we have no way of confirming or denying it. That's 597 00:33:23,840 --> 00:33:26,600 Speaker 3: that's the thing. It's just like every other kind of 598 00:33:26,600 --> 00:33:28,080 Speaker 3: anthropomorphism we've made. 599 00:33:31,280 --> 00:33:34,000 Speaker 2: So since we did this interview, a new study came out, 600 00:33:34,120 --> 00:33:37,360 Speaker 2: with the big headline being a study indicates that some 601 00:33:37,560 --> 00:33:40,480 Speaker 2: dogs are able to express themselves by pressing buttons in 602 00:33:40,520 --> 00:33:45,080 Speaker 2: two or more word combinations that are neither random nor accidental. 603 00:33:45,600 --> 00:33:49,560 Speaker 2: So I followed up with Alexandra on this and she 604 00:33:49,680 --> 00:33:52,320 Speaker 2: was a bit skeptical. She said, it seems to show 605 00:33:52,360 --> 00:33:55,960 Speaker 2: that at a population level, so not individual dogs doing this, 606 00:33:56,080 --> 00:33:59,960 Speaker 2: but the whole group, certain two word phrases happen more 607 00:34:00,080 --> 00:34:03,560 Speaker 2: often it would be expected by chance. She also said, 608 00:34:03,680 --> 00:34:06,719 Speaker 2: if the buttons are meaningful for the dogs, you know 609 00:34:06,760 --> 00:34:10,080 Speaker 2: they're using them non randomly to actually say things, then 610 00:34:10,120 --> 00:34:13,120 Speaker 2: you would expect that they would use them in all cases, 611 00:34:13,800 --> 00:34:17,680 Speaker 2: non randomly, not randomly in some cases and non randomly 612 00:34:17,719 --> 00:34:21,520 Speaker 2: in others. So she said it also didn't really seem 613 00:34:21,520 --> 00:34:25,040 Speaker 2: to show that the dogs comprehended at the level at 614 00:34:25,120 --> 00:34:28,480 Speaker 2: least we think of comprehension, because some of the phrases 615 00:34:28,560 --> 00:34:31,399 Speaker 2: just didn't really make sense. So one of the top 616 00:34:31,400 --> 00:34:37,359 Speaker 2: phrases is go outside plus other and help plus other. 617 00:34:38,600 --> 00:34:42,680 Speaker 2: Those don't really make any sense. And then sort of 618 00:34:42,719 --> 00:34:45,839 Speaker 2: like the last caveat or red flag that she gave 619 00:34:46,400 --> 00:34:49,000 Speaker 2: is that this was self reported, which she said is 620 00:34:49,040 --> 00:34:52,799 Speaker 2: just like why be frouled upon in behavioral science, there's 621 00:34:52,840 --> 00:34:56,560 Speaker 2: just too much human psychology that lets us remember the 622 00:34:56,600 --> 00:34:59,399 Speaker 2: things we want to and discount the things we don't 623 00:34:59,400 --> 00:34:59,680 Speaker 2: want to. 624 00:35:02,120 --> 00:35:06,320 Speaker 3: I think that many dogs understand about six to ten words, 625 00:35:07,440 --> 00:35:10,440 Speaker 3: and that's only if you use them really clearly in 626 00:35:10,560 --> 00:35:16,960 Speaker 3: very specific cases. Right. They don't obviously speak of vocal language, 627 00:35:17,600 --> 00:35:20,600 Speaker 3: you know, they communicate in other ways, but they're flexible 628 00:35:20,680 --> 00:35:22,800 Speaker 3: enough so that they can understand a couple of words 629 00:35:22,840 --> 00:35:26,759 Speaker 3: if you use them carefully in the same way over time. Right. 630 00:35:26,840 --> 00:35:28,480 Speaker 6: We don't usually tend to do that. 631 00:35:29,040 --> 00:35:32,120 Speaker 3: Oh, we say, I say to my dog, you know, 632 00:35:32,680 --> 00:35:33,759 Speaker 3: do you want to go for a walk? Do you 633 00:35:33,800 --> 00:35:37,680 Speaker 3: want to go outside? Should we go outside, where's your leash? 634 00:35:37,680 --> 00:35:39,759 Speaker 3: I'll say all sorts of things which mean the same 635 00:35:39,800 --> 00:35:42,440 Speaker 3: thing to me, but unless I say them clearly to 636 00:35:42,520 --> 00:35:45,040 Speaker 3: the dog, it's going to take a long time for 637 00:35:45,080 --> 00:35:48,000 Speaker 3: them to learn what those mean. But now I've said 638 00:35:48,000 --> 00:35:49,640 Speaker 3: do you want to go for a walk enough that 639 00:35:49,719 --> 00:35:53,239 Speaker 3: if I say that in any context, they know what 640 00:35:53,280 --> 00:35:54,759 Speaker 3: I mean. So you can't say that. You have to 641 00:35:54,760 --> 00:35:57,719 Speaker 3: spell it out. Yeah, like you're talking to somebody else 642 00:35:57,719 --> 00:35:58,160 Speaker 3: about it. 643 00:35:58,480 --> 00:35:59,520 Speaker 6: So what is that? 644 00:35:59,520 --> 00:36:02,520 Speaker 3: That's some kind of language understanding, But it's not the 645 00:36:02,560 --> 00:36:04,680 Speaker 3: same as our kind of language understanding, right, It's like 646 00:36:04,760 --> 00:36:08,319 Speaker 3: word learning. They've learned words like I've learned that his 647 00:36:08,480 --> 00:36:11,719 Speaker 3: tail wag mean means a different thing if it's a 648 00:36:11,760 --> 00:36:13,320 Speaker 3: high tail wag than a low tail wag. 649 00:36:13,360 --> 00:36:18,120 Speaker 6: Like I can speak tail, but that doesn't mean I'm 650 00:36:18,160 --> 00:36:18,520 Speaker 6: a dog. 651 00:36:18,920 --> 00:36:19,080 Speaker 2: Right. 652 00:36:19,280 --> 00:36:22,440 Speaker 3: And because they can use they can learn some words. 653 00:36:22,480 --> 00:36:25,719 Speaker 3: If we use them deliberately in the same way, that 654 00:36:25,800 --> 00:36:28,640 Speaker 3: doesn't mean that they speak our language. Now, there are 655 00:36:28,680 --> 00:36:31,720 Speaker 3: some of these amazing dogs word learning dogs like Chaser. 656 00:36:32,560 --> 00:36:35,960 Speaker 7: Chaser walk up beloved six year old border colleague of 657 00:36:35,960 --> 00:36:40,320 Speaker 7: psychology professor John Pilly Good Girl. John has taught Chaser 658 00:36:40,360 --> 00:36:44,279 Speaker 7: to ten an extremely large, if unconventional herd of a 659 00:36:44,360 --> 00:36:47,759 Speaker 7: thousand toys, and she knows the name of every single 660 00:36:47,800 --> 00:36:50,760 Speaker 7: one of these A hope. I find this hard to believe, 661 00:36:50,840 --> 00:36:54,200 Speaker 7: so I test Chaser's memory with a random sampling. Chaser 662 00:36:54,719 --> 00:37:01,200 Speaker 7: find inky. Well, she got one right. 663 00:37:01,360 --> 00:37:06,920 Speaker 3: I mean, she was so cool and her owner, John Pilley, 664 00:37:07,440 --> 00:37:10,680 Speaker 3: could ask her to like get a toy or touch 665 00:37:10,719 --> 00:37:13,640 Speaker 3: it or do different things with these toys, right, But 666 00:37:13,800 --> 00:37:16,760 Speaker 3: he spent hours every day playing with her and teaching 667 00:37:16,760 --> 00:37:17,920 Speaker 3: her these words. 668 00:37:18,480 --> 00:37:20,920 Speaker 6: She seemed to love it. But she's unusual. 669 00:37:20,920 --> 00:37:22,520 Speaker 3: There aren't a lot of dogs like that, and there 670 00:37:22,520 --> 00:37:24,360 Speaker 3: aren't a lot of people that deal with their dogs 671 00:37:24,440 --> 00:37:27,520 Speaker 3: like that. They're just really different communicative specimen. But it 672 00:37:27,560 --> 00:37:31,680 Speaker 3: doesn't mean that they don't understand any things that we say, 673 00:37:31,680 --> 00:37:34,719 Speaker 3: and it doesn't mean they don't have a rich communicative vocabulary. 674 00:37:34,880 --> 00:37:38,120 Speaker 3: It's just made up of other types of sounds and behaviors. 675 00:37:39,040 --> 00:37:41,239 Speaker 2: All right, We're gonna take one more break and then 676 00:37:41,360 --> 00:37:51,600 Speaker 2: finally get an answer to our question. Chapter six, the question. 677 00:37:52,600 --> 00:37:59,600 Speaker 2: Let's get to our big question. Our city dogs less 678 00:37:59,640 --> 00:38:02,040 Speaker 2: happy than suburban dogs. 679 00:38:03,280 --> 00:38:06,319 Speaker 3: So I'm a scientist, so I have a lot of 680 00:38:06,320 --> 00:38:09,680 Speaker 3: trouble giving black and white answers. If I had to 681 00:38:09,680 --> 00:38:11,839 Speaker 3: give a black and white answer, I mean that point 682 00:38:11,920 --> 00:38:15,400 Speaker 3: is there's no one kind of suburban dog. There's no 683 00:38:15,520 --> 00:38:18,680 Speaker 3: one kind of city dog. And I don't know Ali, 684 00:38:18,840 --> 00:38:22,719 Speaker 3: so I don't know where he thrives. But if I 685 00:38:22,760 --> 00:38:24,680 Speaker 3: had to give a black and white answer, I would say, 686 00:38:24,719 --> 00:38:26,560 Speaker 3: if he's used to the city, he wouldn't be happy 687 00:38:26,600 --> 00:38:32,960 Speaker 3: in the suburbs. And that's because the stimulation in the 688 00:38:32,960 --> 00:38:37,799 Speaker 3: city is like thrilling for some dogs too much, right, 689 00:38:37,880 --> 00:38:39,960 Speaker 3: But I think for a lot of dogs it is 690 00:38:40,600 --> 00:38:44,080 Speaker 3: a great environment, and for a reason you alluded to, 691 00:38:44,239 --> 00:38:48,400 Speaker 3: which is that you need to be intentional about his life. 692 00:38:48,840 --> 00:38:51,400 Speaker 3: When you put a dog in the yard, what do 693 00:38:51,400 --> 00:38:54,160 Speaker 3: you think happens in the yard? I mean, if you 694 00:38:54,160 --> 00:38:56,520 Speaker 3: ever looked out in the yard, if you're living in 695 00:38:56,520 --> 00:38:59,960 Speaker 3: your suburban home, some dogs are sitting there and happily 696 00:39:00,080 --> 00:39:01,400 Speaker 3: watching squirrels or whatever. 697 00:39:01,719 --> 00:39:02,799 Speaker 6: No dog is just. 698 00:39:02,960 --> 00:39:07,520 Speaker 3: Running around all day, running around and excited and thrilled 699 00:39:07,800 --> 00:39:11,600 Speaker 3: by themselves. They are by themselves, they're trying to find 700 00:39:11,640 --> 00:39:14,799 Speaker 3: something to do. You've given them a bigger space than 701 00:39:14,920 --> 00:39:18,400 Speaker 3: a living room or a crate, and there might be 702 00:39:18,480 --> 00:39:20,839 Speaker 3: more going on outside than the living room of the crate, 703 00:39:20,920 --> 00:39:22,640 Speaker 3: but it's still just by themselves. 704 00:39:23,760 --> 00:39:26,719 Speaker 6: In the city, we're much more. 705 00:39:26,480 --> 00:39:29,440 Speaker 3: Conscious of leaving them by themselves, and we do it 706 00:39:29,480 --> 00:39:32,920 Speaker 3: a lot less. We find them other dogs to play with, 707 00:39:33,440 --> 00:39:35,920 Speaker 3: we go to off leash hours, we make sure that 708 00:39:35,960 --> 00:39:37,920 Speaker 3: we're not going to be gone too long because we 709 00:39:38,000 --> 00:39:42,200 Speaker 3: realize that we're their social company. We think about when 710 00:39:42,280 --> 00:39:44,960 Speaker 3: they need to pee, and we take them out for that, 711 00:39:45,200 --> 00:39:48,560 Speaker 3: you know. So we're so much more intentional with respect 712 00:39:48,560 --> 00:39:51,279 Speaker 3: to the dog that it turns out, I think a 713 00:39:51,320 --> 00:39:55,120 Speaker 3: lot of their life is really improved for it. They 714 00:39:55,120 --> 00:39:59,760 Speaker 3: also wind up having a lot more dog interactions. Suburban 715 00:39:59,800 --> 00:40:04,160 Speaker 3: dog sometimes we'll have zero dog interactions. They might bark 716 00:40:04,200 --> 00:40:06,480 Speaker 3: at a dog who passes by who's being walked by, 717 00:40:06,800 --> 00:40:09,839 Speaker 3: but they might never really interact with them with their dog. 718 00:40:10,360 --> 00:40:12,920 Speaker 3: And I can't imagine that being a great dog life 719 00:40:13,800 --> 00:40:18,480 Speaker 3: under any circumstances. And dogs are social creatures, social with 720 00:40:18,520 --> 00:40:22,919 Speaker 3: dogs or social with people, or both, and no dog 721 00:40:22,960 --> 00:40:25,760 Speaker 3: wants to be left alone most of its life, whether 722 00:40:25,920 --> 00:40:29,480 Speaker 3: it's in an apartment or in a yard. So I 723 00:40:29,480 --> 00:40:31,239 Speaker 3: don't I mean, I think people talk to me all 724 00:40:31,280 --> 00:40:33,319 Speaker 3: the time about how they feel guilt about leaving their 725 00:40:33,320 --> 00:40:37,240 Speaker 3: dogs alone. And I don't say that they should feel guilt, 726 00:40:37,239 --> 00:40:40,600 Speaker 3: but I'm glad that they're thinking about their dog's experience, because, yeah, 727 00:40:40,640 --> 00:40:46,239 Speaker 3: they're captive to our situation. Now, a better scenario for 728 00:40:46,320 --> 00:40:51,560 Speaker 3: the dog, in some ways might be when they can 729 00:40:51,640 --> 00:40:54,759 Speaker 3: run free. Right Like when I was a kid, we 730 00:40:54,920 --> 00:40:58,440 Speaker 3: let our dogs out at night. We just let them 731 00:40:58,480 --> 00:41:01,480 Speaker 3: out of the house. Lived in a kind of suburban 732 00:41:01,520 --> 00:41:06,879 Speaker 3: area where I guess it wasn't hugely populated. For some reason, 733 00:41:06,920 --> 00:41:09,520 Speaker 3: we didn't think it was dangerous. Now I would never 734 00:41:09,600 --> 00:41:12,200 Speaker 3: do that. I would never do it, But we did 735 00:41:12,239 --> 00:41:17,600 Speaker 3: allow my dog to have his own experiences, un controlled 736 00:41:17,640 --> 00:41:22,360 Speaker 3: by a leash, making decisions and choices. He came back 737 00:41:23,040 --> 00:41:25,480 Speaker 3: when he wanted to come back, except for the time 738 00:41:25,560 --> 00:41:27,040 Speaker 3: we sit by car and it took him a long 739 00:41:27,080 --> 00:41:29,120 Speaker 3: time to get back, And that's why we don't do that. 740 00:41:29,600 --> 00:41:32,680 Speaker 3: But you know, he got to make choices and do 741 00:41:32,800 --> 00:41:36,200 Speaker 3: what he wanted to do and cavort and run or sit, 742 00:41:36,960 --> 00:41:41,080 Speaker 3: you know, and the world was his oyster. That feels 743 00:41:41,120 --> 00:41:44,560 Speaker 3: like the ideal scenario for dogs. Now, it's not safe. 744 00:41:44,640 --> 00:41:48,640 Speaker 3: I don't think we should do that. But then just 745 00:41:49,520 --> 00:41:52,920 Speaker 3: putting them in a yard and assuming that that satisfies 746 00:41:52,960 --> 00:41:56,200 Speaker 3: the same impulse, it doesn't satisfy the same impulse. I 747 00:41:56,239 --> 00:41:59,680 Speaker 3: feel really sad for lots of suburban dogs. I see them, 748 00:42:00,320 --> 00:42:04,880 Speaker 3: you know, in a dog kennel or on a long lead, 749 00:42:05,640 --> 00:42:08,759 Speaker 3: or just left outside, and mostly they're just hugging the 750 00:42:08,760 --> 00:42:11,960 Speaker 3: fence or looking right at the door, waiting to go in, 751 00:42:12,160 --> 00:42:14,120 Speaker 3: or waiting for somebody to go by so they can 752 00:42:14,200 --> 00:42:18,879 Speaker 3: maybe have an interaction. That's that's no way to live 753 00:42:18,920 --> 00:42:20,440 Speaker 3: a life. 754 00:42:22,760 --> 00:42:25,719 Speaker 2: So what I hear you saying is both, you know, 755 00:42:25,880 --> 00:42:28,280 Speaker 2: like you're saying like it's like a when you're talking 756 00:42:28,320 --> 00:42:29,759 Speaker 2: to a doctor. It's like, I don't know what your 757 00:42:29,800 --> 00:42:34,120 Speaker 2: particular situation is, right, Like, I think Ali actually to 758 00:42:34,239 --> 00:42:37,960 Speaker 2: your point, I think he does enjoy the stimuli of 759 00:42:38,040 --> 00:42:41,319 Speaker 2: the city. He loves being outside and seeing all his 760 00:42:41,480 --> 00:42:44,600 Speaker 2: dog friends, and you know, you can just tell he's excited. 761 00:42:44,880 --> 00:42:49,000 Speaker 2: But then it's also, like you're saying, just living in 762 00:42:49,000 --> 00:42:51,080 Speaker 2: one place or another does not determine how good of 763 00:42:51,120 --> 00:42:53,440 Speaker 2: a dog owner you are. Like, just simply being in 764 00:42:53,440 --> 00:42:55,279 Speaker 2: the suburbs doesn't mean your dog is going to live 765 00:42:55,320 --> 00:42:57,840 Speaker 2: a better life if you're not actually actively doing anything 766 00:42:57,880 --> 00:43:00,760 Speaker 2: to make sure that your dog is being stimulated outside 767 00:43:00,800 --> 00:43:02,960 Speaker 2: of like, all right, you're in the backyard. Cool, like 768 00:43:03,040 --> 00:43:03,800 Speaker 2: now you're inside? 769 00:43:03,880 --> 00:43:07,640 Speaker 3: Yeah, yeah, yeah, so yeah, I think no dog. 770 00:43:08,000 --> 00:43:09,120 Speaker 6: You know, all dogs are different. 771 00:43:09,800 --> 00:43:14,600 Speaker 3: They're fearful, they're excited by stimuli, really different dogs. Some 772 00:43:14,800 --> 00:43:17,000 Speaker 3: really like playing with other dogs. Some just really want 773 00:43:17,000 --> 00:43:18,759 Speaker 3: to be around their people all the time. You know, 774 00:43:18,880 --> 00:43:21,200 Speaker 3: are you allowing them to do that in both these cases? 775 00:43:21,719 --> 00:43:24,200 Speaker 3: And how much do the people think about what the 776 00:43:24,280 --> 00:43:27,000 Speaker 3: dogs need and want and what they're doing right now? 777 00:43:27,400 --> 00:43:28,479 Speaker 6: You know, most people who. 778 00:43:28,440 --> 00:43:31,200 Speaker 3: Live in in city with a dog, if you said, 779 00:43:31,440 --> 00:43:35,160 Speaker 3: right now, where's your dog, they know the dog is 780 00:43:35,200 --> 00:43:37,279 Speaker 3: like right there, and they know when they're going to 781 00:43:37,320 --> 00:43:40,120 Speaker 3: take their dog out again, they're thinking about it. If 782 00:43:40,120 --> 00:43:43,880 Speaker 3: the good dog people in the suburbs, you know, who 783 00:43:43,960 --> 00:43:45,920 Speaker 3: knows where the dog is. You know, it's a different 784 00:43:45,960 --> 00:43:48,080 Speaker 3: type of connection with your dog, and it's a different 785 00:43:48,120 --> 00:43:50,120 Speaker 3: type of responsibility for your dog. 786 00:43:50,560 --> 00:43:54,799 Speaker 6: And for you know, for the two I live with 787 00:43:54,840 --> 00:43:56,840 Speaker 6: two dogs right now. It's another good example. 788 00:43:57,360 --> 00:44:00,880 Speaker 3: They both love it when we go into a rural 789 00:44:00,920 --> 00:44:03,480 Speaker 3: area and there's like a fenced area where they can 790 00:44:03,560 --> 00:44:06,879 Speaker 3: just hang out. But most of the time they want 791 00:44:06,880 --> 00:44:09,480 Speaker 3: to just be with us on the couch. Right, And 792 00:44:09,600 --> 00:44:12,200 Speaker 3: one of the dogs wants to have a ball tossed 793 00:44:12,200 --> 00:44:15,479 Speaker 3: again and again. Yeah, you know, the yard doesn't toss 794 00:44:15,520 --> 00:44:19,479 Speaker 3: the ball, right, I have to be there tossing the ball, right. 795 00:44:19,560 --> 00:44:23,719 Speaker 3: And so a yard is not a satisfaction. It's just 796 00:44:23,760 --> 00:44:29,359 Speaker 3: the way that we grew up. And if you had 797 00:44:29,360 --> 00:44:33,360 Speaker 3: asked me this question one hundred years ago, the question 798 00:44:33,360 --> 00:44:35,720 Speaker 3: would have been like, you know, should we have dogs 799 00:44:35,760 --> 00:44:40,359 Speaker 3: wandering through city streets or you know, should we keep 800 00:44:40,400 --> 00:44:43,680 Speaker 3: them only in kennels? And like, neither of those is 801 00:44:43,719 --> 00:44:47,160 Speaker 3: perfect for every dog either, right, But it's just very 802 00:44:47,400 --> 00:44:50,960 Speaker 3: locally culturally. This is the kind of dichotomy that we 803 00:44:51,000 --> 00:44:54,360 Speaker 3: see now. People love to say dogs in cities, I 804 00:44:54,400 --> 00:44:57,080 Speaker 3: don't have a good life. Dogs lives in the city 805 00:44:57,120 --> 00:45:00,960 Speaker 3: can be excellent, just great, full of other dogs, full 806 00:45:01,000 --> 00:45:05,680 Speaker 3: of a lot of attention from people, smells, imagine the smells. 807 00:45:05,239 --> 00:45:07,560 Speaker 6: And on the streets of New York City. 808 00:45:07,640 --> 00:45:11,799 Speaker 3: I mean it's delicious, right, So it has its own 809 00:45:11,800 --> 00:45:14,840 Speaker 3: set of stimuli with a good dog person, it's a 810 00:45:14,840 --> 00:45:15,680 Speaker 3: great scenario. 811 00:45:16,600 --> 00:45:23,000 Speaker 4: Well, a lot of that surprised me, even I'm even 812 00:45:23,280 --> 00:45:26,480 Speaker 4: questioning my initial reaction to some of those tiktoks we 813 00:45:26,480 --> 00:45:29,200 Speaker 4: were seeing, which is that Like I'm like, oh, this 814 00:45:29,280 --> 00:45:32,720 Speaker 4: dog clearly prefers this environment. But as she was saying, 815 00:45:33,880 --> 00:45:37,800 Speaker 4: it just wasn't used to it. It's excited about something different, exploring, 816 00:45:37,880 --> 00:45:40,600 Speaker 4: running around a little bit, and then maybe the next 817 00:45:40,600 --> 00:45:44,560 Speaker 4: TikTok taking them a week later, it's just fucking bored sitting. 818 00:45:45,040 --> 00:45:46,920 Speaker 5: Well yeah, well, I mean in some ways it made 819 00:45:46,960 --> 00:45:49,719 Speaker 5: me feel better, like at least I am giving my 820 00:45:49,800 --> 00:45:52,960 Speaker 5: dog a lot of attention. Yeah, my dog personally, I know, 821 00:45:53,040 --> 00:45:56,799 Speaker 5: would prefer a quieter place. Yeah, but you know, at 822 00:45:56,920 --> 00:45:57,920 Speaker 5: least it's like, well, it. 823 00:45:57,880 --> 00:45:59,319 Speaker 4: Doesn't mean you're ruining his life. 824 00:45:59,400 --> 00:46:02,279 Speaker 5: Yeah, I don't think he's not as miserable as he 825 00:46:02,320 --> 00:46:02,640 Speaker 5: could be. 826 00:46:03,600 --> 00:46:08,600 Speaker 2: Well you can have riz in the suburbs and not 827 00:46:08,719 --> 00:46:13,000 Speaker 2: be as attentive and yeah exactly. Yeah, you know, it 828 00:46:13,080 --> 00:46:15,879 Speaker 2: could go to any other direction right where he could be. 829 00:46:16,120 --> 00:46:18,040 Speaker 2: You know, he would have been happy if he was 830 00:46:18,040 --> 00:46:18,719 Speaker 2: in the city. 831 00:46:19,040 --> 00:46:21,439 Speaker 5: Then he's getting antsy and stuff because we're not doing much. 832 00:46:21,560 --> 00:46:23,960 Speaker 5: I will say, when we were in Virginia, even like 833 00:46:24,000 --> 00:46:25,839 Speaker 5: by you know, we were there for a little over 834 00:46:25,880 --> 00:46:29,000 Speaker 5: a week. At a certain point, maybe five days in, 835 00:46:29,920 --> 00:46:31,759 Speaker 5: he went on on a walk and then was kind 836 00:46:31,760 --> 00:46:33,239 Speaker 5: of like, I'm done, I want to go back, even 837 00:46:33,239 --> 00:46:35,400 Speaker 5: though we were outside and with the other dogs and 838 00:46:36,400 --> 00:46:38,880 Speaker 5: all the stuff. So it's kind of like, once you 839 00:46:38,920 --> 00:46:40,879 Speaker 5: get used to something, it's not going to be as 840 00:46:40,920 --> 00:46:42,840 Speaker 5: fun anymore, you know. 841 00:46:43,000 --> 00:46:44,279 Speaker 1: Yeah, in some ways. 842 00:46:44,120 --> 00:46:48,480 Speaker 2: I guess this definitely made me feel better, obviously, but 843 00:46:48,560 --> 00:46:51,839 Speaker 2: I think the big my big takeaway from it was 844 00:46:51,920 --> 00:46:57,359 Speaker 2: like being intentional about how your dog is spending their time. Yeah, right, 845 00:46:57,440 --> 00:46:59,360 Speaker 2: Like you said, so much of what our dogs do 846 00:46:59,480 --> 00:47:04,040 Speaker 2: day to day is dependent on what we do with them. 847 00:47:04,680 --> 00:47:09,400 Speaker 2: And it's not even like she talks about in her book. Right, 848 00:47:09,440 --> 00:47:11,399 Speaker 2: it's not just taking your dog out for a walk. 849 00:47:11,440 --> 00:47:15,239 Speaker 2: It's letting your dog sometimes dictate where they want to walk. Right, 850 00:47:15,280 --> 00:47:17,040 Speaker 2: It's not always I want to walk this, where we're 851 00:47:17,080 --> 00:47:18,799 Speaker 2: going this, where we're doing this thing you're on a leash. 852 00:47:18,840 --> 00:47:22,200 Speaker 2: It's like maybe this walk, I'll let you lead, and 853 00:47:22,239 --> 00:47:24,319 Speaker 2: maybe like we don't need to get around the block. 854 00:47:24,360 --> 00:47:26,839 Speaker 2: We'll just going to be outside for thirty minutes, and 855 00:47:27,120 --> 00:47:28,600 Speaker 2: if you want to smell a tree for twenty of 856 00:47:28,600 --> 00:47:31,160 Speaker 2: those minutes, that's fine. We can stand here for twenty minutes. 857 00:47:31,920 --> 00:47:37,000 Speaker 2: So something that I'm since I've done this interview, been 858 00:47:37,000 --> 00:47:41,040 Speaker 2: considering is how can I do more things? Yeah, living 859 00:47:41,200 --> 00:47:43,799 Speaker 2: knowing that I'm living in the city, knowing that he 860 00:47:43,840 --> 00:47:46,239 Speaker 2: doesn't maybe have as much room to run around. How 861 00:47:46,280 --> 00:47:49,480 Speaker 2: can I have him explore in different ways, even if 862 00:47:49,480 --> 00:47:52,360 Speaker 2: it's just going for a walk. How can I be 863 00:47:52,360 --> 00:47:57,719 Speaker 2: more intentional about that stuff? Someone on TikTok said, like, 864 00:47:58,080 --> 00:48:00,120 Speaker 2: a good way to think about it is like being 865 00:48:00,160 --> 00:48:02,880 Speaker 2: outside with your dog and them smelling it's their TikTok. 866 00:48:03,719 --> 00:48:03,919 Speaker 5: Yeah. 867 00:48:04,040 --> 00:48:07,960 Speaker 2: Yeah, so as annoyed as you are that they're sniffing 868 00:48:08,000 --> 00:48:11,640 Speaker 2: the tree for three minutes. Yeah, Like they can't watch TV, 869 00:48:11,719 --> 00:48:14,640 Speaker 2: they can't be on TikTok, their version of TikTok. So 870 00:48:15,000 --> 00:48:17,799 Speaker 2: you may think this is boring and you might want 871 00:48:17,840 --> 00:48:21,920 Speaker 2: to be like, let's go, But they are enjoying themselves 872 00:48:22,320 --> 00:48:24,520 Speaker 2: and you're the reason you're walking them is for them, 873 00:48:24,719 --> 00:48:25,840 Speaker 2: So just let them do today. 874 00:48:29,040 --> 00:48:31,600 Speaker 4: Yeah, it's funny to take the dog for a walk. 875 00:48:31,640 --> 00:48:34,040 Speaker 4: But then be like, yeah, and I. 876 00:48:37,360 --> 00:48:41,719 Speaker 2: Got a big dog and he got trust issues the dog. 877 00:48:41,760 --> 00:48:44,160 Speaker 2: I still miss you. I made mistakes the first time 878 00:48:44,360 --> 00:48:46,719 Speaker 2: and like the last time, sit you up with BM 879 00:48:47,160 --> 00:48:48,280 Speaker 2: That us just the sound. 880 00:48:48,120 --> 00:48:53,480 Speaker 8: Line again. 881 00:48:58,360 --> 00:48:58,680 Speaker 3: Again. 882 00:49:00,200 --> 00:49:03,360 Speaker 2: Thing is produced by Manny Fidelle, Noah Friedman and me 883 00:49:03,719 --> 00:49:08,120 Speaker 2: Devin Joseph. The theme song is by Manny. This song 884 00:49:08,280 --> 00:49:11,640 Speaker 2: is Big Dog by my band Maurice and it's featuring 885 00:49:11,760 --> 00:49:17,200 Speaker 2: Kenyon Thing certain self and Alli's on this track, too Beautiful. 886 00:49:17,239 --> 00:49:20,600 Speaker 2: Our guest this week list Alexandra Horowitz. Check out her 887 00:49:20,640 --> 00:49:22,960 Speaker 2: book Inside of a Dog. We'll put a link to 888 00:49:23,000 --> 00:49:25,399 Speaker 2: it in the newsletter. No such thing not show. 889 00:49:26,040 --> 00:49:26,600 Speaker 7: If you're a. 890 00:49:26,480 --> 00:49:29,160 Speaker 2: Fan of what we are doing, please give us five stars. 891 00:49:29,840 --> 00:49:32,319 Speaker 2: We got some haters giving one stars, so we gotta 892 00:49:32,320 --> 00:49:35,040 Speaker 2: get our ratings up. Our ratings are pretty good, but 893 00:49:35,120 --> 00:49:39,680 Speaker 2: it could be even higher, so five stars. We'll be 894 00:49:39,800 --> 00:50:05,600 Speaker 2: back next week with a new episode. 895 00:50:07,080 --> 00:50:11,640 Speaker 3: Oh one more thing that I I want to mention. 896 00:50:12,080 --> 00:50:13,800 Speaker 3: People say to me all the time, you can't have 897 00:50:13,840 --> 00:50:16,160 Speaker 3: a big dog in the city. You know, they can 898 00:50:16,280 --> 00:50:17,960 Speaker 3: run fast, they have a lot of energy, but they 899 00:50:18,000 --> 00:50:22,319 Speaker 3: also calm, yes, right, And what do they need like 900 00:50:22,320 --> 00:50:24,640 Speaker 3: a huge apartment to run around and all the time. No, 901 00:50:24,960 --> 00:50:27,839 Speaker 3: Allie's on the couch or whatever, right, Like, that's that's 902 00:50:27,840 --> 00:50:31,959 Speaker 3: what he's doing at. Little dogs, by contrast, are much 903 00:50:31,960 --> 00:50:34,880 Speaker 3: more high energy all the time. And it's our smaller 904 00:50:34,920 --> 00:50:38,399 Speaker 3: dog who's barking at things out the window, who's like, right, 905 00:50:38,480 --> 00:50:40,920 Speaker 3: on the edge of, you know, really excited. So I 906 00:50:41,000 --> 00:50:43,200 Speaker 3: feel like if you have a little dog, you shouldn't 907 00:50:43,200 --> 00:50:46,880 Speaker 3: live in the city. No, I'm not I'm not going 908 00:50:46,960 --> 00:50:47,799 Speaker 3: to come down that way.