1 00:00:15,356 --> 00:00:23,756 Speaker 1: Pushkin, How did you get into writing about raccoons. 2 00:00:24,076 --> 00:00:28,196 Speaker 2: I got into writing about raccoons because they started breaking 3 00:00:28,276 --> 00:00:32,596 Speaker 2: into my supposedly raccoon proof green ban named Toronto. 4 00:00:33,196 --> 00:00:36,276 Speaker 1: I'm talking with intrepid investigative reporter for the Toronto Star, 5 00:00:36,596 --> 00:00:41,156 Speaker 1: Amy Dempsey Raven. Typically she covers police wrongdoing, child welfare, 6 00:00:41,356 --> 00:00:45,396 Speaker 1: controversial homicides, but in twenty sixteen, when Toronto declared a 7 00:00:45,476 --> 00:00:49,276 Speaker 1: war on raccoons and unveiled a new raccoon resistant composting ben, 8 00:00:49,716 --> 00:00:53,396 Speaker 1: she realized it's time to get serious. 9 00:00:53,996 --> 00:00:57,596 Speaker 2: Mayor came out on this garbage truck and made all 10 00:00:57,636 --> 00:01:00,516 Speaker 2: of these promises, and I wondered. I thought to myself, 11 00:01:00,556 --> 00:01:02,076 Speaker 2: I'm going to keep an eye on things here. 12 00:01:03,156 --> 00:01:06,956 Speaker 1: This raccoon resistant ben cost the city thirty one million 13 00:01:06,996 --> 00:01:10,356 Speaker 1: Canadian dollars. But Toronto is own is the raccoon capital 14 00:01:10,396 --> 00:01:13,796 Speaker 1: of the world. Theoretically it's a point of pride, but 15 00:01:13,916 --> 00:01:16,476 Speaker 1: it's a little more complicated than that. If a race 16 00:01:16,516 --> 00:01:18,676 Speaker 1: of Martians took over your city, would you call it 17 00:01:18,716 --> 00:01:21,796 Speaker 1: the Martian capital of the world, only if you'd already 18 00:01:21,796 --> 00:01:23,276 Speaker 1: admitted defeat. 19 00:01:23,756 --> 00:01:27,596 Speaker 3: My first job after graduating was in Toronto, and I 20 00:01:27,596 --> 00:01:27,956 Speaker 3: had a. 21 00:01:27,916 --> 00:01:30,756 Speaker 1: Group house local man, Malcolm Gladwell. 22 00:01:31,076 --> 00:01:33,756 Speaker 3: I did not grow up in raccoon country, so I 23 00:01:33,756 --> 00:01:36,636 Speaker 3: had no idea something was making a racket so loud 24 00:01:37,156 --> 00:01:40,316 Speaker 3: and all night. Like when I say all night, I 25 00:01:40,396 --> 00:01:44,476 Speaker 3: mean without without stopping. From from the moment I went 26 00:01:44,516 --> 00:01:46,556 Speaker 3: to bed to the morning. I woke up, I couldn't sleep, 27 00:01:46,716 --> 00:01:49,156 Speaker 3: and I went my friends. A couple of my friends 28 00:01:49,196 --> 00:01:51,276 Speaker 3: were from Toronto, and I was like, what is going on? Like, oh, 29 00:01:51,316 --> 00:01:53,636 Speaker 3: it's raccoons. Like for them it was like, oh ye, 30 00:01:53,836 --> 00:01:55,956 Speaker 3: it's just like that's the deal here. 31 00:01:57,356 --> 00:02:01,196 Speaker 1: That was about forty years ago. Things have gotten much 32 00:02:01,596 --> 00:02:02,196 Speaker 1: much worse. 33 00:02:03,276 --> 00:02:05,116 Speaker 4: It doesn't get any more Toronto than this. 34 00:02:06,276 --> 00:02:08,716 Speaker 5: A raccoon inside a supermarket. 35 00:02:08,076 --> 00:02:13,436 Speaker 1: Here, raccoons in the garbage, Raccoons on the train, Oh god, 36 00:02:14,316 --> 00:02:15,796 Speaker 1: raccoons on the back deck. 37 00:02:16,516 --> 00:02:19,556 Speaker 4: Time to go down, buddy, time to go down. 38 00:02:19,676 --> 00:02:22,836 Speaker 5: You can't stay on this deck anymore that your viction day. 39 00:02:24,236 --> 00:02:26,516 Speaker 1: Raccoons have taken over the attics in a whole street 40 00:02:26,516 --> 00:02:29,316 Speaker 1: of houses and refused to leave. They brought traffic to 41 00:02:29,396 --> 00:02:32,756 Speaker 1: a screeching halt on Toronto's highways and just stood there. 42 00:02:33,236 --> 00:02:35,356 Speaker 1: They figured out how to open doors to houses and 43 00:02:35,396 --> 00:02:39,516 Speaker 1: refrigerators and stood on top of countertops, leftovers in their paws, 44 00:02:39,636 --> 00:02:42,716 Speaker 1: staring at freaked out homeowners as if to say, if 45 00:02:42,716 --> 00:02:45,116 Speaker 1: I wanted you here, I would have rung the bell. 46 00:02:46,356 --> 00:02:51,196 Speaker 1: Hence the priceya raccoon resistant bins, which surely no raccoon 47 00:02:51,236 --> 00:02:52,196 Speaker 1: would be able to open. 48 00:02:52,996 --> 00:02:56,716 Speaker 2: Soon after the rollout, we began hearing reports that raccoons 49 00:02:56,796 --> 00:03:01,356 Speaker 2: were outsmarting the bins, and the city said, now, that's 50 00:03:01,436 --> 00:03:05,636 Speaker 2: not really happening. But then one night they broke into mine. 51 00:03:06,156 --> 00:03:09,276 Speaker 1: Amy found herself wondering, how are raccoons smart enough to 52 00:03:09,316 --> 00:03:12,236 Speaker 1: open that bin? This was the question a historian of 53 00:03:12,236 --> 00:03:15,036 Speaker 1: science had found himself wondering one night when he looked 54 00:03:15,076 --> 00:03:17,956 Speaker 1: at his back deck in Toronto and saw composts all 55 00:03:17,956 --> 00:03:20,716 Speaker 1: over the place. He had an earlier version of the 56 00:03:20,716 --> 00:03:24,316 Speaker 1: compost bin, but here too, the raccoons had picked the lock. 57 00:03:24,876 --> 00:03:28,476 Speaker 1: Were they really just that smart? It turned out nobody 58 00:03:28,516 --> 00:03:32,956 Speaker 1: really knew. Raccoons had hardly been studied, basically, not at 59 00:03:32,956 --> 00:03:36,156 Speaker 1: all compared to other animals, like say, rats or monkeys. 60 00:03:36,796 --> 00:03:41,956 Speaker 1: This historian wanted to know why the midnight raid on 61 00:03:42,036 --> 00:03:44,916 Speaker 1: his compost bin would set in motion a sequence of 62 00:03:44,956 --> 00:03:47,876 Speaker 1: events that, in my own estimation, have come to Topple 63 00:03:47,996 --> 00:03:51,636 Speaker 1: an entire century of psychological theory and restored the raccoon 64 00:03:52,036 --> 00:03:55,916 Speaker 1: to its proper place, the dead center of how we 65 00:03:56,036 --> 00:03:57,596 Speaker 1: understand human beings. 66 00:04:00,476 --> 00:04:03,716 Speaker 3: Him Malcolm Gladwell, you're listening to Revisionist History, my show 67 00:04:03,756 --> 00:04:08,356 Speaker 3: about things overlooked, misunderstood and in praise of Toronto. You 68 00:04:08,396 --> 00:04:12,116 Speaker 3: may be familiar with the phrase lab rat. Perhaps you 69 00:04:12,196 --> 00:04:14,316 Speaker 3: are aware that many of the things we know about 70 00:04:14,356 --> 00:04:17,236 Speaker 3: human beings and the way we behave are based upon 71 00:04:17,236 --> 00:04:19,956 Speaker 3: the things we know about rats and the way they behave. 72 00:04:21,236 --> 00:04:24,476 Speaker 3: But in this episode, my colleague Ben the daph Haffrey 73 00:04:24,596 --> 00:04:27,396 Speaker 3: asks what if we picked the wrong animal. 74 00:04:33,196 --> 00:04:38,516 Speaker 1: Many historians of science will write about the greats Einstein, Freud, Oppenheimer, 75 00:04:38,796 --> 00:04:41,956 Speaker 1: the kind of research project not usually begun while scooping 76 00:04:42,036 --> 00:04:45,196 Speaker 1: up trash in your bathrobe on your back deck in Toronto. 77 00:04:45,396 --> 00:04:48,276 Speaker 1: But Michael Pettitt's always gotten into things sideways. 78 00:04:48,556 --> 00:04:51,956 Speaker 5: I have almost never written about kind of the dominant 79 00:04:51,996 --> 00:04:56,156 Speaker 5: people in the field. I personally find myself attracted to 80 00:04:57,716 --> 00:04:58,636 Speaker 5: the misfits. 81 00:04:59,076 --> 00:05:02,796 Speaker 1: Pettitt is a historian of psychology at York University in Toronto. 82 00:05:03,356 --> 00:05:05,516 Speaker 5: I work one morning, and of course the compost is 83 00:05:05,556 --> 00:05:07,356 Speaker 5: all over the deck, on scooping it up, because the 84 00:05:07,436 --> 00:05:11,036 Speaker 5: raccoons could very easily get into the lock, and as 85 00:05:11,076 --> 00:05:15,316 Speaker 5: in a start of psychology, I asked myself, Huh, I 86 00:05:15,356 --> 00:05:18,276 Speaker 5: wonder if anyone ever used a puzzle box with raccoons. 87 00:05:18,276 --> 00:05:19,476 Speaker 5: They seem really good at it. 88 00:05:19,916 --> 00:05:22,996 Speaker 1: Petitt knew all about scientists putting rats in mazes and 89 00:05:23,036 --> 00:05:26,836 Speaker 1: puzzly cages, the mainstream stuff. Who cares, But in all 90 00:05:26,876 --> 00:05:29,836 Speaker 1: his studies he had never heard of a raccoon in 91 00:05:29,876 --> 00:05:32,636 Speaker 1: a puzzle box. And yet here on his deck was 92 00:05:32,676 --> 00:05:36,396 Speaker 1: evidence that they were basically able to outsmart any human system. 93 00:05:37,076 --> 00:05:40,756 Speaker 5: These raccoons seemed very adept at doing locks, and so 94 00:05:40,836 --> 00:05:41,756 Speaker 5: I was just curious. 95 00:05:42,076 --> 00:05:44,996 Speaker 1: Michael was curious for good reason, not just because of 96 00:05:45,036 --> 00:05:48,716 Speaker 1: the locks situation. We've basically never known quite what to 97 00:05:48,756 --> 00:05:49,676 Speaker 1: make of raccoons. 98 00:05:50,436 --> 00:05:55,036 Speaker 5: You know, they aren't finates, but they're also not rodents, 99 00:05:55,756 --> 00:05:58,236 Speaker 5: So there's like there's something about them that they sort 100 00:05:58,276 --> 00:06:01,316 Speaker 5: of take on this role as kind of intermediary species. 101 00:06:01,516 --> 00:06:05,796 Speaker 5: There's this reputation of the raccoon for being this cunning, 102 00:06:06,316 --> 00:06:07,716 Speaker 5: intelligent trickster. 103 00:06:08,636 --> 00:06:10,916 Speaker 1: For a while, well, there wasn't even consensus on how 104 00:06:11,036 --> 00:06:15,236 Speaker 1: exactly they evolved. The famous naturalist Carl Lenaeus called them 105 00:06:15,316 --> 00:06:18,476 Speaker 1: Ursus louder or washer bear, because they like to rinse 106 00:06:18,516 --> 00:06:22,316 Speaker 1: their food and water, and he thought they descended from bears. Now, 107 00:06:22,356 --> 00:06:25,196 Speaker 1: for any true raccoon fans out there, I should note that, yes, 108 00:06:25,276 --> 00:06:28,516 Speaker 1: they aren't actually washing their food. They basically see you 109 00:06:28,596 --> 00:06:30,876 Speaker 1: with their paws, and their paws are more sensitive in 110 00:06:30,916 --> 00:06:33,556 Speaker 1: the water. This, by the way, is the instinct behind 111 00:06:33,556 --> 00:06:36,516 Speaker 1: that amazing Japanese TV show where they gave a raccoon 112 00:06:36,556 --> 00:06:40,196 Speaker 1: cotton candy, which the raccoon dutifully washed until they vanished. 113 00:06:40,756 --> 00:06:44,116 Speaker 1: But no, they're not washing and they're not bears. When 114 00:06:44,196 --> 00:06:46,596 Speaker 1: Christopher Columbus first set foot in the New World, he 115 00:06:46,676 --> 00:06:49,996 Speaker 1: remarked upon its quote clown like dogs, to which the 116 00:06:49,996 --> 00:06:52,676 Speaker 1: people of Italy said, Chris, what the hell are you 117 00:06:52,716 --> 00:06:57,636 Speaker 1: talking about? Until centuries later another naturalist realized, Oh, he's 118 00:06:57,636 --> 00:07:00,396 Speaker 1: talking about raccoons. They're their own thing. 119 00:07:03,436 --> 00:07:07,276 Speaker 5: They in some ways seem to be above the rodents, 120 00:07:07,836 --> 00:07:10,156 Speaker 5: and maybe even are carnivores. 121 00:07:10,756 --> 00:07:14,436 Speaker 1: Pettitt went looking for a history of raccoons science, specifically 122 00:07:14,436 --> 00:07:19,396 Speaker 1: about people investigating their intelligence, and found basically nothing. A 123 00:07:19,396 --> 00:07:23,516 Speaker 1: handful of scientists in one slim volume, in particular from 124 00:07:23,636 --> 00:07:29,236 Speaker 1: nineteen oh seven titled Concerning the Intelligence of Raccoons. It 125 00:07:29,316 --> 00:07:33,756 Speaker 1: was written by a man named Lawrence Cole, Frontier raccoonist. 126 00:07:34,676 --> 00:07:38,996 Speaker 5: So Lawrence Cole, in a lot of ways is a nobody. 127 00:07:39,556 --> 00:07:41,636 Speaker 5: You know, He's not someone if you go to a 128 00:07:41,716 --> 00:07:43,876 Speaker 5: history of psychology textbook and pull it off the shelf, 129 00:07:44,196 --> 00:07:47,716 Speaker 5: he's not someone that's particularly remarkable. 130 00:07:48,276 --> 00:07:50,876 Speaker 1: Lawrence Cole had done his graduate work at Harvard and 131 00:07:50,996 --> 00:07:54,196 Speaker 1: was part of a psychological movement that studied animals to 132 00:07:54,276 --> 00:07:58,796 Speaker 1: understand humans. In the nineteenth century, psychology had largely been 133 00:07:58,836 --> 00:08:01,676 Speaker 1: based on what people said about how they felt, which 134 00:08:01,716 --> 00:08:04,796 Speaker 1: was not super reliable. So why not instead observe how 135 00:08:04,836 --> 00:08:08,076 Speaker 1: animals behave and just extrapolate up the chain from there. 136 00:08:09,196 --> 00:08:11,756 Speaker 5: One absolutely says, it's not just our kind of our 137 00:08:11,796 --> 00:08:15,876 Speaker 5: physical formous human beings that is continuous with natural selection, 138 00:08:16,276 --> 00:08:18,476 Speaker 5: but also our psychological selves. 139 00:08:19,516 --> 00:08:23,076 Speaker 1: But which animal was best for the psychologists to study? 140 00:08:23,196 --> 00:08:26,796 Speaker 1: Any of them theoretically could work. Scientists were comparing species 141 00:08:26,836 --> 00:08:30,836 Speaker 1: across tests to see how they'd fare. People had studied chickens, dogs. 142 00:08:31,156 --> 00:08:34,196 Speaker 1: Coal's Advisor like the idea of studying monkeys, but monkeys 143 00:08:34,196 --> 00:08:37,076 Speaker 1: are super expensive. It would be helpful, though if there 144 00:08:37,076 --> 00:08:40,316 Speaker 1: were a kind of consensus, a linguis franca animal that 145 00:08:40,396 --> 00:08:41,916 Speaker 1: people could generalize from. 146 00:08:42,276 --> 00:08:47,596 Speaker 5: Through a series of circumstances, he acquires a small quality 147 00:08:47,636 --> 00:08:48,276 Speaker 5: of raccoons. 148 00:08:49,756 --> 00:08:51,836 Speaker 1: Cole still had to find an experiment of his own 149 00:08:51,876 --> 00:08:54,836 Speaker 1: to get his PhD. These raccoons seemed promising. 150 00:08:55,356 --> 00:08:57,396 Speaker 5: As far as Pool knew, no one had kind of 151 00:08:57,396 --> 00:09:02,396 Speaker 5: put raccoons through these motions. So that's adoptrible dissertation. I 152 00:09:02,396 --> 00:09:05,716 Speaker 5: can run these studies with these raccoons, right, whatever the 153 00:09:05,796 --> 00:09:09,516 Speaker 5: data is, I can say I have added to our 154 00:09:09,596 --> 00:09:11,196 Speaker 5: knowledge of compared to psychology. 155 00:09:11,676 --> 00:09:13,556 Speaker 1: He probably had a hunch that this was going to 156 00:09:13,596 --> 00:09:14,156 Speaker 1: be interesting. 157 00:09:14,636 --> 00:09:16,676 Speaker 5: I don't know if raccoons were the most charismatic of 158 00:09:16,716 --> 00:09:20,676 Speaker 5: our fauna, but raccoons they're kind of fun. 159 00:09:22,436 --> 00:09:24,516 Speaker 1: I think they're the most charismatic of our fauna. 160 00:09:24,956 --> 00:09:28,676 Speaker 5: Well, they're annoying, but they're like they're lovable scamps. Right. 161 00:09:29,516 --> 00:09:32,556 Speaker 1: Cole began running tests on the raccoons. He put them 162 00:09:32,556 --> 00:09:35,276 Speaker 1: in boxes with complicated locks every day for a whole 163 00:09:35,316 --> 00:09:40,396 Speaker 1: academic year, and he found they were incredible any box. 164 00:09:40,436 --> 00:09:43,596 Speaker 1: It seemed any puzzle the raccoon could solve it. And 165 00:09:43,636 --> 00:09:46,116 Speaker 1: what's more, the animal wasn't just going through the motions. 166 00:09:46,676 --> 00:09:51,236 Speaker 1: The raccoons seemed curious about what he was doing, and 167 00:09:51,276 --> 00:09:54,876 Speaker 1: Cole thought there was evidence that raccoons could hold images 168 00:09:54,916 --> 00:09:58,436 Speaker 1: in their mind. Nobody was making these kinds of claims 169 00:09:58,476 --> 00:10:02,316 Speaker 1: about other animals, so Cole started publishing his research, writing 170 00:10:02,356 --> 00:10:06,556 Speaker 1: the Leading Figures in Psychology, saying, Hey, these raccoons are 171 00:10:06,556 --> 00:10:11,556 Speaker 1: really unusually intelligent, maybe intelligent as monkeys, which seems to 172 00:10:11,596 --> 00:10:13,916 Speaker 1: me like it should make them a great model organism 173 00:10:13,956 --> 00:10:18,436 Speaker 1: for people. Except there was a movement that was growing 174 00:10:18,476 --> 00:10:22,396 Speaker 1: swiftly within Cole's field, right around them, which was explicitly 175 00:10:22,476 --> 00:10:26,156 Speaker 1: uncomfortable with any talk of an animal having a mind, 176 00:10:26,556 --> 00:10:29,316 Speaker 1: and it was fast becoming the only show in town. 177 00:10:30,316 --> 00:10:35,836 Speaker 1: It was called behaviorism. All this history is documented in 178 00:10:35,876 --> 00:10:39,396 Speaker 1: an amazing article by Michael Pettitt titled The Problem of 179 00:10:39,476 --> 00:10:43,116 Speaker 1: Raccoon Intelligence in Behaviorist America, which is one of my 180 00:10:43,196 --> 00:10:47,236 Speaker 1: favorite academic essays of all time, because the raccoon was 181 00:10:47,276 --> 00:10:50,956 Speaker 1: indeed a problem. 182 00:10:49,716 --> 00:10:53,716 Speaker 6: So it was no surprise to us that a lot 183 00:10:53,756 --> 00:10:57,596 Speaker 6: of psychologists steered clear of coon's. 184 00:10:58,076 --> 00:11:00,356 Speaker 1: Bob Bailey, he used to be the top guy at 185 00:11:00,356 --> 00:11:04,836 Speaker 1: a legendary behaviorist organization called Animal Behavior Enterprises. The founders 186 00:11:04,836 --> 00:11:08,036 Speaker 1: of that company wrote an infamous paper questioning the fundamentals 187 00:11:08,036 --> 00:11:11,476 Speaker 1: of behaviorism, the idea that all animals were blank slates 188 00:11:11,476 --> 00:11:14,476 Speaker 1: you could write whatever you wanted on. A key example, 189 00:11:15,196 --> 00:11:17,956 Speaker 1: one raccoon they trained to put coins in the box. 190 00:11:18,556 --> 00:11:24,996 Speaker 6: After a hundred or so responses, the raccoon would start. 191 00:11:25,276 --> 00:11:28,356 Speaker 6: Instead of just picking up one coin and taking it 192 00:11:28,436 --> 00:11:30,956 Speaker 6: to the box and putting it in the box, the 193 00:11:31,076 --> 00:11:35,996 Speaker 6: raccoon would pick up two coins and then rub them together, 194 00:11:36,516 --> 00:11:42,076 Speaker 6: and would start walking towards the box, and then it 195 00:11:42,116 --> 00:11:47,156 Speaker 6: would stop and rub the coins together, and then it 196 00:11:47,196 --> 00:11:50,956 Speaker 6: would go to the box and then start to put 197 00:11:50,996 --> 00:11:54,876 Speaker 6: the coins in, and then stop and rub the coins together, 198 00:11:55,356 --> 00:11:57,876 Speaker 6: and then start to put the coins back in the box, 199 00:11:57,956 --> 00:12:04,116 Speaker 6: and stop and rub the coins together. Eventually it would 200 00:12:04,516 --> 00:12:08,196 Speaker 6: put the coins in the box. Most of the. 201 00:12:08,196 --> 00:12:11,836 Speaker 1: Time, potentially, and most of the time were bad news 202 00:12:11,836 --> 00:12:15,676 Speaker 1: for people trying to turn psychology into a reputable hard science. 203 00:12:16,476 --> 00:12:20,276 Speaker 1: That raccoon box situation came later on, but this exact 204 00:12:20,356 --> 00:12:23,316 Speaker 1: dynamic put a bit of a target on Lawrence Cole, 205 00:12:23,636 --> 00:12:26,756 Speaker 1: the frontier raccoonist. And if you know anything about the 206 00:12:26,796 --> 00:12:29,356 Speaker 1: history of psychology, you'll know how the problem of the 207 00:12:29,436 --> 00:12:33,516 Speaker 1: raccoon was solved raccoon erasure. The raccoon does not figure 208 00:12:33,556 --> 00:12:38,716 Speaker 1: prominently at all, but you know which animal does, the rat. 209 00:12:39,476 --> 00:12:42,876 Speaker 1: I'm curious about how you account for that historical process 210 00:12:42,916 --> 00:12:45,636 Speaker 1: of raccoon erasure that begins around them. 211 00:12:46,076 --> 00:12:49,996 Speaker 5: One of the problems with raccoons is they are a 212 00:12:50,156 --> 00:12:57,236 Speaker 5: much larger and more cumbersome species than your bread labyrocks right. 213 00:12:57,876 --> 00:13:04,676 Speaker 5: In terms of feeding, caging, maintenance, rats proved much more 214 00:13:05,356 --> 00:13:07,996 Speaker 5: docile than a debt. Again, if you want to have 215 00:13:08,236 --> 00:13:12,876 Speaker 5: decent numbers study right. They also reproduce quite readily. They 216 00:13:12,916 --> 00:13:15,156 Speaker 5: have very short greeding cycles, and you can kind of 217 00:13:15,156 --> 00:13:16,876 Speaker 5: build up the populations. 218 00:13:18,276 --> 00:13:21,876 Speaker 1: But it wasn't just about convenience. It was also difficult 219 00:13:21,956 --> 00:13:26,636 Speaker 1: to generalize from raccoon experiments. Rats, for example, behaved in predictable, 220 00:13:26,756 --> 00:13:31,956 Speaker 1: repeatable ways, raccoons not so much. How is a scientist 221 00:13:32,036 --> 00:13:34,636 Speaker 1: supposed to work with an animal who each spring gets 222 00:13:34,676 --> 00:13:37,836 Speaker 1: wanderlust and attempts to break out of their cage. What 223 00:13:37,876 --> 00:13:41,036 Speaker 1: do you do when your experimental raccoon colony does escape 224 00:13:41,276 --> 00:13:45,156 Speaker 1: and moves into your labs of ventilation system. As behaviorism 225 00:13:45,196 --> 00:13:48,796 Speaker 1: gains steam, scientists in the big cities attacked the nascent 226 00:13:48,836 --> 00:13:52,916 Speaker 1: science of raccoons. Wasn't this all a bit silly? Meanwhile, 227 00:13:52,956 --> 00:13:56,236 Speaker 1: other behaviorists complained that keeping raccoon colonies was really just 228 00:13:56,276 --> 00:13:58,796 Speaker 1: a huge pain in the neck, and so we got 229 00:13:58,836 --> 00:14:02,676 Speaker 1: the century of the rat into a lesser degree the pigeon. 230 00:14:03,276 --> 00:14:06,636 Speaker 5: This behaviorism is a theory of control. They are animals 231 00:14:06,676 --> 00:14:07,716 Speaker 5: that you could control. 232 00:14:08,556 --> 00:14:11,276 Speaker 1: Behavior thought they were studying an animal that stood in 233 00:14:11,356 --> 00:14:15,636 Speaker 1: for all human beings, but actually they wound up studying 234 00:14:15,836 --> 00:14:18,876 Speaker 1: a lot of lab rats, and that led us to 235 00:14:18,956 --> 00:14:23,756 Speaker 1: some pretty flawed conclusions about people. We'll be right back 236 00:14:31,076 --> 00:14:33,556 Speaker 1: for a little while now. I've been interested in how 237 00:14:33,636 --> 00:14:36,436 Speaker 1: the lab rat has shaped our understanding of human beings. 238 00:14:37,156 --> 00:14:40,316 Speaker 1: Rats are all over the history of psychology, Rat studies 239 00:14:40,316 --> 00:14:44,196 Speaker 1: of depression, rat studies of cooperation, rat studies of rationality. 240 00:14:44,676 --> 00:14:47,396 Speaker 1: Think about the way we speak ratin a maze, the 241 00:14:47,476 --> 00:14:50,836 Speaker 1: rat race, malrat, jim rat, smell a rat, or rat's nest. 242 00:14:51,276 --> 00:14:53,716 Speaker 1: It's all rats all the way down. I figured if 243 00:14:53,756 --> 00:14:56,236 Speaker 1: anyone could tell me about how exactly this all came 244 00:14:56,276 --> 00:14:58,836 Speaker 1: to be, it would be one of the leading rat 245 00:14:58,876 --> 00:15:03,156 Speaker 1: behavioral researchers in the country. Doctor Kelly Lambert at the 246 00:15:03,236 --> 00:15:05,276 Speaker 1: University of Richmond. 247 00:15:05,316 --> 00:15:07,516 Speaker 7: For most of psychology. It's just they were the only 248 00:15:07,556 --> 00:15:09,796 Speaker 7: show in town. If you want to to do research 249 00:15:09,836 --> 00:15:11,956 Speaker 7: with an animal model. When I was in graduate school 250 00:15:11,956 --> 00:15:14,516 Speaker 7: at the University of Georgia, this is what we had. 251 00:15:14,956 --> 00:15:17,516 Speaker 7: That was the only animal model you had. 252 00:15:18,596 --> 00:15:22,636 Speaker 1: Lambert loves rats. She's written a book called The Labrat Chronicles. 253 00:15:22,836 --> 00:15:27,516 Speaker 1: A neuroscientist reveals life lessons from the planet's most successful mammals. 254 00:15:28,116 --> 00:15:31,156 Speaker 1: She's particularly famous for experiments where she taught rats to 255 00:15:31,236 --> 00:15:34,396 Speaker 1: drive cars, which, if we're being honest, is really why 256 00:15:34,396 --> 00:15:35,236 Speaker 1: I've gone to Richmond. 257 00:15:35,996 --> 00:15:39,116 Speaker 7: So the idea was to train them. Get in the car, 258 00:15:39,156 --> 00:15:41,076 Speaker 7: you get a fruitleate, sit here and get a fruitly 259 00:15:41,356 --> 00:15:43,716 Speaker 7: But early on it was amazing that they seemed to 260 00:15:43,796 --> 00:15:46,516 Speaker 7: learn the concept of driving. So once we shaped them 261 00:15:46,556 --> 00:15:48,676 Speaker 7: and they learned to press the right lever to go right, 262 00:15:48,756 --> 00:15:51,116 Speaker 7: they seem to automatically know to press the left one 263 00:15:51,156 --> 00:15:51,716 Speaker 7: to go left. 264 00:15:52,516 --> 00:15:55,476 Speaker 1: If you've seen Stuart Little in his red convertible, you're 265 00:15:55,556 --> 00:15:57,836 Speaker 1: not even half prepared for the image of a lab 266 00:15:57,916 --> 00:16:00,516 Speaker 1: rat hunched over the dashboard on what appears to be 267 00:16:00,556 --> 00:16:04,316 Speaker 1: a monster truck, just careening towards a bunch of fruit loops. 268 00:16:08,196 --> 00:16:11,916 Speaker 1: Lambert loves were with her rats, but lately she's also 269 00:16:11,956 --> 00:16:15,036 Speaker 1: been questioning how the rat became the be all end 270 00:16:15,036 --> 00:16:17,436 Speaker 1: all for understanding human beings. 271 00:16:18,356 --> 00:16:20,956 Speaker 7: I don't think they made a decision about which model 272 00:16:21,036 --> 00:16:23,716 Speaker 7: organism should we use. The rat was already on board 273 00:16:23,956 --> 00:16:27,596 Speaker 7: for biomedical research, so it's practical to use the rat. 274 00:16:28,116 --> 00:16:31,196 Speaker 1: Basically, it's the lab rat industry. There was a whole 275 00:16:31,276 --> 00:16:35,196 Speaker 1: factory line system around producing lab rats via mass inbreeding, 276 00:16:35,596 --> 00:16:38,996 Speaker 1: premised on the fantasy that the inbred rats were basically 277 00:16:39,036 --> 00:16:40,356 Speaker 1: interchangeable with one another. 278 00:16:40,956 --> 00:16:45,076 Speaker 7: They bred brothers and sisters for twenty generations. Their intention 279 00:16:45,436 --> 00:16:48,516 Speaker 7: was the animals be as close to clones as possible, 280 00:16:49,036 --> 00:16:55,636 Speaker 7: and then whatever your manipulation was, diet, stress, movement, or whatever, 281 00:16:55,916 --> 00:16:59,356 Speaker 7: they felt confident that they saw a difference between the 282 00:16:59,396 --> 00:17:02,076 Speaker 7: experimental group that got it and the control group that didn't, 283 00:17:02,556 --> 00:17:06,716 Speaker 7: that that variable was the influential variable. 284 00:17:07,116 --> 00:17:09,676 Speaker 1: This was all taking off around the time and Cole's 285 00:17:09,716 --> 00:17:12,996 Speaker 1: work with raccoons was being cast aside. That kind of 286 00:17:13,076 --> 00:17:17,036 Speaker 1: inbreeding helped create rats who were much more docile and 287 00:17:17,116 --> 00:17:20,796 Speaker 1: easier to control than wild rats and certainly than raccoons, 288 00:17:21,316 --> 00:17:25,676 Speaker 1: which meant it gave the behaviorists easier, more reliable data, 289 00:17:26,076 --> 00:17:29,916 Speaker 1: and then it just took off. Soon. A prominent psychologist 290 00:17:29,956 --> 00:17:33,116 Speaker 1: described the field as being infected by a plague of rats. 291 00:17:33,476 --> 00:17:36,596 Speaker 1: Millions of dollars poured into rat studies. The leader of 292 00:17:36,636 --> 00:17:40,196 Speaker 1: the Yale Institute of Human Relations announced that anything he 293 00:17:40,236 --> 00:17:44,796 Speaker 1: observed about rats behaviors among other animals was quote identical 294 00:17:45,036 --> 00:17:48,316 Speaker 1: with those operative in man, even in his highest behavioral 295 00:17:48,396 --> 00:17:51,916 Speaker 1: achievements end quote. Let me play you a bit of 296 00:17:51,996 --> 00:17:54,916 Speaker 1: film that Yale Institute produced. I think it goes a 297 00:17:54,956 --> 00:17:58,116 Speaker 1: long way to showing exactly how confident these people were 298 00:17:58,236 --> 00:18:00,556 Speaker 1: in what studying rats could tell us about people. 299 00:18:01,476 --> 00:18:04,436 Speaker 8: Again, a mild electric shock and they administered through the 300 00:18:04,436 --> 00:18:06,556 Speaker 8: grid on the floor of the apparatus. 301 00:18:06,956 --> 00:18:09,516 Speaker 1: This film has always freaked me out. A rat in 302 00:18:09,556 --> 00:18:12,036 Speaker 1: a cage with an electric current running through the bars. 303 00:18:12,556 --> 00:18:14,356 Speaker 1: He's got to figure out how to turn it off. 304 00:18:14,996 --> 00:18:17,636 Speaker 8: This time, it can only be turned off by ropetaking 305 00:18:17,636 --> 00:18:20,996 Speaker 8: a wheel. The satiated animals starts responding as soon as 306 00:18:20,996 --> 00:18:22,076 Speaker 8: a drive is supplied. 307 00:18:23,076 --> 00:18:25,916 Speaker 1: The whole time that tone is sounding, the rat is 308 00:18:25,956 --> 00:18:28,876 Speaker 1: just frantically scrambling around his cage trying to figure out 309 00:18:28,916 --> 00:18:31,316 Speaker 1: how to make it stop. Then he starts pawing at 310 00:18:31,316 --> 00:18:32,956 Speaker 1: a wheel and it turns off. 311 00:18:33,636 --> 00:18:37,076 Speaker 8: The drive produced by electric shock is stronger than hunger. 312 00:18:37,916 --> 00:18:40,196 Speaker 1: It turns out zapping a rat is a good way 313 00:18:40,196 --> 00:18:42,836 Speaker 1: to get it to do anything, including violence. 314 00:18:43,316 --> 00:18:47,076 Speaker 8: Responding to another animal by striking him can also be learned. 315 00:18:47,156 --> 00:18:49,316 Speaker 8: All he needs is a little motivation. 316 00:18:51,996 --> 00:18:54,556 Speaker 1: If you could teach a rat to do anything, why 317 00:18:54,596 --> 00:18:57,836 Speaker 1: not a person. Suddenly the scary world of the twentieth 318 00:18:57,836 --> 00:19:01,276 Speaker 1: century began to seem a lot more manageable. Mass movements, 319 00:19:01,396 --> 00:19:05,156 Speaker 1: great depressions, whatever. Just find the right set of incentives 320 00:19:05,236 --> 00:19:08,076 Speaker 1: or punishments, and all of human behavior it could be 321 00:19:08,076 --> 00:19:09,516 Speaker 1: predicted and can controlled. 322 00:19:10,316 --> 00:19:14,436 Speaker 7: We started comparing that behavior to humans at a slot 323 00:19:14,436 --> 00:19:19,916 Speaker 7: machine or something. People I think started seeing humans as 324 00:19:19,996 --> 00:19:22,836 Speaker 7: big rats or rats as little humans. Always say that 325 00:19:22,876 --> 00:19:28,076 Speaker 7: we're not. We've got what six thousand mammalian species, and 326 00:19:28,116 --> 00:19:29,596 Speaker 7: we're going to pick one or two. 327 00:19:30,076 --> 00:19:32,676 Speaker 1: A few people question the dominance of the rat at first, 328 00:19:33,196 --> 00:19:37,796 Speaker 1: Why bother when it was working so well. This kind 329 00:19:37,836 --> 00:19:40,556 Speaker 1: of thing has always bothered me on a gut level. 330 00:19:40,716 --> 00:19:42,276 Speaker 1: I look in the mirror every day and I do 331 00:19:42,396 --> 00:19:44,916 Speaker 1: not see a rat staring back at me. At least 332 00:19:44,996 --> 00:19:48,436 Speaker 1: nonsense patching the hole in my bathroom wall. We aren't rats. 333 00:19:48,836 --> 00:19:52,356 Speaker 1: I'm not saying we can't learn anything about ourselves from animals, 334 00:19:52,756 --> 00:19:55,316 Speaker 1: but I am saying that you should never underestimate how 335 00:19:55,316 --> 00:19:57,556 Speaker 1: many of the things we think we know about human 336 00:19:57,596 --> 00:20:00,956 Speaker 1: beings are actually things we know about inbred rats with 337 00:20:01,036 --> 00:20:04,596 Speaker 1: brains the size of grapes kept in cages that sometimes 338 00:20:04,596 --> 00:20:05,316 Speaker 1: electrocute you. 339 00:20:06,236 --> 00:20:08,116 Speaker 7: And it's hard for me to think back about why 340 00:20:08,116 --> 00:20:10,836 Speaker 7: didn't I question that, or did I ask if there 341 00:20:10,836 --> 00:20:13,676 Speaker 7: are other models? And it's just become lightly that I've 342 00:20:13,716 --> 00:20:16,036 Speaker 7: had so many of these. Kelly, what the heck were 343 00:20:16,076 --> 00:20:17,556 Speaker 7: you thinking? All these years? 344 00:20:18,596 --> 00:20:21,076 Speaker 1: We built a science of human nature and one of 345 00:20:21,116 --> 00:20:25,076 Speaker 1: the strongest pillars was the labrat. And who is the labrat? 346 00:20:25,476 --> 00:20:28,996 Speaker 1: He's crucially not the raccoon. The raccoon lets it all 347 00:20:29,036 --> 00:20:33,796 Speaker 1: hang out. He's defiant, mischievous, crafty. If asked to participate 348 00:20:33,836 --> 00:20:37,436 Speaker 1: in a scientific experiment, he will inquire about payment than 349 00:20:37,516 --> 00:20:41,236 Speaker 1: callin sick. Not the rat. The rat is hard working 350 00:20:41,316 --> 00:20:45,596 Speaker 1: by instinct, diligent. He gnaws away, he navigates complex warrants. 351 00:20:45,636 --> 00:20:49,036 Speaker 1: He gets a perfect score on his SATs. He's rational. 352 00:20:49,756 --> 00:20:52,876 Speaker 1: Build the maze and he'll fall in line. He is 353 00:20:52,876 --> 00:20:55,556 Speaker 1: in short, a good animal for running the same test 354 00:20:55,716 --> 00:20:59,796 Speaker 1: again and again and again without complaint, while delivering consistent, 355 00:21:00,076 --> 00:21:05,356 Speaker 1: reliable data suggesting that we humans behave in consistent, reliable ways. 356 00:21:06,156 --> 00:21:08,996 Speaker 1: For all this, the rat has been rewarded by becoming 357 00:21:09,156 --> 00:21:13,116 Speaker 1: the only animals synonymous with the scientific laboratory. It's not 358 00:21:13,276 --> 00:21:18,116 Speaker 1: lab pigeon, it's not lab monkey, it's lab rat. But 359 00:21:18,236 --> 00:21:20,996 Speaker 1: I was beginning to wonder what if it should have 360 00:21:21,036 --> 00:21:31,436 Speaker 1: been lab raccoon. We'll be right back. Some years ago, 361 00:21:31,676 --> 00:21:34,676 Speaker 1: when Michael Pettitt was working on his ingenious article about 362 00:21:34,756 --> 00:21:37,636 Speaker 1: raccoon or rasure, he took a colleague out to lunch, 363 00:21:37,876 --> 00:21:42,596 Speaker 1: Suzanne MacDonald, behaviorist and expert in animal cognition. He told 364 00:21:42,596 --> 00:21:44,876 Speaker 1: her what he'd been learning about Lawrence Cole and the 365 00:21:44,916 --> 00:21:49,196 Speaker 1: early raccoon studies. She, a fellow Torontonian beset by the 366 00:21:49,196 --> 00:21:53,556 Speaker 1: plague of raccoons, was like, oh my god, how did 367 00:21:53,556 --> 00:21:54,036 Speaker 1: we miss this? 368 00:21:54,916 --> 00:21:57,236 Speaker 4: I originally had thought, and I told Mike this because 369 00:21:57,236 --> 00:22:00,316 Speaker 4: I thought it was a brilliant insight. Oh, they're they're 370 00:22:00,356 --> 00:22:01,756 Speaker 4: the monkeys of North America. 371 00:22:01,796 --> 00:22:03,916 Speaker 1: By monkeys of North America, you mean they fill a 372 00:22:04,076 --> 00:22:06,036 Speaker 1: certain ecological niche yeah. 373 00:22:05,876 --> 00:22:08,996 Speaker 4: Because we don't have monkeys, right, So it's just like, oh, well, 374 00:22:09,156 --> 00:22:11,516 Speaker 4: you know, maybe they're just like that. They're not primates, 375 00:22:11,556 --> 00:22:15,356 Speaker 4: but maybe they have evolved to cognitively to be like primates. 376 00:22:15,596 --> 00:22:19,516 Speaker 1: Traveling to study monkeys was expensive. If raccoons were like monkeys, 377 00:22:19,556 --> 00:22:22,476 Speaker 1: then living in Toronto was like living on safari. So 378 00:22:22,556 --> 00:22:26,436 Speaker 1: McDonald caught the Lawrence colebug. She began to study raccoons 379 00:22:26,876 --> 00:22:28,796 Speaker 1: and she's been doing it ever since. 380 00:22:29,076 --> 00:22:31,556 Speaker 4: Because we don't know very much, just trying to fill 381 00:22:31,596 --> 00:22:34,996 Speaker 4: gaps and trying to see what I find out about them, 382 00:22:35,236 --> 00:22:40,396 Speaker 4: and they are annoying little critters. So it's been challenging 383 00:22:40,476 --> 00:22:43,116 Speaker 4: and I wouldn't recommend it to most people. 384 00:22:44,356 --> 00:22:47,556 Speaker 1: McDonald has become one of the world's leading experts in raccoons, 385 00:22:47,796 --> 00:22:50,956 Speaker 1: and in particular the urban raccoons of Toronto, with whom 386 00:22:50,956 --> 00:22:54,396 Speaker 1: I think she feels a strong kinship. For instance, I've 387 00:22:54,436 --> 00:22:57,276 Speaker 1: seen people saying that there are one hundred thousand raccoons 388 00:22:57,276 --> 00:23:00,676 Speaker 1: in Toronto. Where did they get that number? McDonald told 389 00:23:00,676 --> 00:23:03,716 Speaker 1: me that she was the origin of that statistic, and 390 00:23:03,756 --> 00:23:05,796 Speaker 1: she just made a number up, which is exactly what 391 00:23:05,836 --> 00:23:08,796 Speaker 1: a raccoon would do. She gets it. So, after a 392 00:23:08,796 --> 00:23:12,276 Speaker 1: century of waiting I prepared to receive the good news 393 00:23:12,316 --> 00:23:15,876 Speaker 1: about the raccoon's true intelligence from the source. I leaned 394 00:23:15,916 --> 00:23:17,436 Speaker 1: back in my desk chair. 395 00:23:17,876 --> 00:23:20,996 Speaker 4: And I can tell you, having studied cognition and maybe raccoons, 396 00:23:21,116 --> 00:23:26,716 Speaker 4: they are dumber and sticks. They are so dumb, just terrible. 397 00:23:27,316 --> 00:23:30,116 Speaker 4: Every one of our little markers that we use for 398 00:23:30,196 --> 00:23:34,916 Speaker 4: animals cognition or intelligence or you know, developmental milestones are 399 00:23:34,916 --> 00:23:37,076 Speaker 4: going they just fail every single one. 400 00:23:37,636 --> 00:23:41,836 Speaker 1: How intriguing. I thought maybe the raccoons super intelligence develops 401 00:23:41,876 --> 00:23:42,836 Speaker 1: at a later age. 402 00:23:43,196 --> 00:23:44,516 Speaker 4: No, an adult not either. 403 00:23:45,076 --> 00:23:46,076 Speaker 1: This was not going well. 404 00:23:46,556 --> 00:23:49,916 Speaker 4: So honestly, that that is what I've disappointed me so much, 405 00:23:49,996 --> 00:23:52,796 Speaker 4: because I always thought, you know that raccoons are the 406 00:23:52,836 --> 00:23:55,636 Speaker 4: monkeys of North America, but they are not. 407 00:23:56,356 --> 00:23:59,196 Speaker 1: I was at this point trying not to look hugely depressed, 408 00:23:59,676 --> 00:24:01,476 Speaker 1: but McDonald just kept going. 409 00:24:02,276 --> 00:24:06,876 Speaker 4: So what they have done is a evolved to sort 410 00:24:06,876 --> 00:24:10,156 Speaker 4: of search and destroying. That seems to be their strategy 411 00:24:10,516 --> 00:24:13,516 Speaker 4: plus pecqual search and destroy and they find a thing 412 00:24:13,556 --> 00:24:16,596 Speaker 4: and they break it, right, But there are other situations 413 00:24:16,636 --> 00:24:18,636 Speaker 4: where you present them with a thing and you can 414 00:24:18,676 --> 00:24:20,756 Speaker 4: see them looking at it and figuring it out. Yeah, 415 00:24:20,836 --> 00:24:24,676 Speaker 4: raccoons don't do that. They're just like, what can I 416 00:24:24,756 --> 00:24:27,356 Speaker 4: do to knock this over? What can I do to 417 00:24:27,476 --> 00:24:30,436 Speaker 4: break this open? What can I do to get whatever 418 00:24:30,476 --> 00:24:33,516 Speaker 4: it is I need to get? And they just leave 419 00:24:33,676 --> 00:24:38,716 Speaker 4: destruction in their way. So they are not sitting and 420 00:24:38,916 --> 00:24:43,716 Speaker 4: thinking about things. They are all action, very little thought. 421 00:24:46,356 --> 00:24:48,396 Speaker 1: Here, I should just say that there's a lot we 422 00:24:48,436 --> 00:24:52,036 Speaker 1: still don't know about raccoons, and indeed McDonald still gets 423 00:24:52,076 --> 00:24:55,476 Speaker 1: a lot out of studying them too, especially the particularities 424 00:24:55,716 --> 00:24:59,796 Speaker 1: of urban raccoons. But still, I had wondered about this 425 00:24:59,876 --> 00:25:04,596 Speaker 1: question for years. Hearing that raccoons were morons actually was 426 00:25:04,676 --> 00:25:06,956 Speaker 1: kind of a bummer in my book. But you know 427 00:25:06,996 --> 00:25:08,836 Speaker 1: who was thrilled when I told them about it. 428 00:25:09,236 --> 00:25:12,756 Speaker 3: That's precisely why there's such a better model for human beings. 429 00:25:13,396 --> 00:25:16,196 Speaker 1: Again, local man Malcolm Gladwell. 430 00:25:16,596 --> 00:25:24,436 Speaker 3: They are clever, mischievous, vengeful, destructive, and profoundly stupid. That 431 00:25:25,036 --> 00:25:27,836 Speaker 3: is humanity. We observe the raccoon and we think there 432 00:25:27,916 --> 00:25:32,116 Speaker 3: is a kind of deep intelligence there that's fueling his behavior, 433 00:25:32,516 --> 00:25:37,236 Speaker 3: and there isn't. The raccoon just wants to mess things up, right, 434 00:25:37,756 --> 00:25:42,036 Speaker 3: He just and he's maniacal about it. He just wants 435 00:25:42,076 --> 00:25:46,116 Speaker 3: to destroy and he has a kind of surface cleverness 436 00:25:46,476 --> 00:25:50,436 Speaker 3: that serves those destructive impulses. So when I look at 437 00:25:50,476 --> 00:25:53,876 Speaker 3: the raccoon, I mean, do I need to say it? 438 00:25:53,876 --> 00:25:55,556 Speaker 3: It's Donald Trump? He's a raccoon. 439 00:25:55,716 --> 00:25:55,916 Speaker 4: Hey. 440 00:25:56,116 --> 00:25:58,196 Speaker 3: The problem with our the way we think about Trump 441 00:25:58,236 --> 00:26:02,076 Speaker 3: is at various points. You know, is Donald Trump a rat? No, 442 00:26:02,156 --> 00:26:02,876 Speaker 3: he's not a rat. 443 00:26:02,996 --> 00:26:03,836 Speaker 1: Nixon's a rat. 444 00:26:04,436 --> 00:26:06,756 Speaker 3: Nixon's a rat. 445 00:26:06,876 --> 00:26:07,876 Speaker 1: So is he a fox? 446 00:26:08,116 --> 00:26:12,236 Speaker 3: Sometimes people say crazy like a fox, crazy like a fox. No, 447 00:26:12,316 --> 00:26:16,276 Speaker 3: because the fox is actually a deeply intelligent animal, right well. 448 00:26:16,196 --> 00:26:19,196 Speaker 1: And crucially wary. The fox is wary. The raccoon is 449 00:26:19,236 --> 00:26:19,836 Speaker 1: not wary. 450 00:26:20,196 --> 00:26:24,356 Speaker 3: Yes, exactly, the fox wood stops to think and pause 451 00:26:24,436 --> 00:26:28,596 Speaker 3: and make a strategy, and you know, takes his time. 452 00:26:28,956 --> 00:26:31,636 Speaker 3: A raccoon would have fallen into the Russian orbit without 453 00:26:31,636 --> 00:26:35,596 Speaker 3: realizing it. The raccoon, you know, like a raccoon would 454 00:26:35,676 --> 00:26:39,236 Speaker 3: choose his running mates with carelessness and abandoned. I mean, 455 00:26:39,236 --> 00:26:42,076 Speaker 3: it's just like, it's all, it's all raccoon. It feels 456 00:26:42,116 --> 00:26:45,236 Speaker 3: like to call Trump a rat is to miss is 457 00:26:45,276 --> 00:26:49,356 Speaker 3: to completely misunderstand who he is. It's just a raccoon. 458 00:26:49,356 --> 00:26:51,956 Speaker 3: He's going to scrape outside your window all night and 459 00:26:52,036 --> 00:26:54,356 Speaker 3: like create a racket and just know everyone else will 460 00:26:54,356 --> 00:26:56,436 Speaker 3: be sleep with some groggy and he will be happy 461 00:26:56,436 --> 00:26:56,876 Speaker 3: in the morning. 462 00:26:57,156 --> 00:26:59,796 Speaker 1: There's also, I think crucially, if we're going back to 463 00:26:59,836 --> 00:27:02,556 Speaker 1: this kind of did we pick the wrong model organism? 464 00:27:02,596 --> 00:27:04,516 Speaker 1: What do we conclude about human beings if we think 465 00:27:04,516 --> 00:27:08,636 Speaker 1: they are like rats. Rats are very hard working. You 466 00:27:08,716 --> 00:27:12,236 Speaker 1: give them a task and they will do it ad nauseum, 467 00:27:12,676 --> 00:27:15,596 Speaker 1: just just they're happy to just keep getting the job done. 468 00:27:16,036 --> 00:27:19,036 Speaker 1: They are They live in little warrens. You put a 469 00:27:19,076 --> 00:27:20,676 Speaker 1: rat in amaze and knows exactly what to do, and 470 00:27:20,716 --> 00:27:23,996 Speaker 1: it's kind of like fine being an amaze. 471 00:27:24,436 --> 00:27:25,276 Speaker 3: Problem solvers. 472 00:27:25,356 --> 00:27:30,276 Speaker 1: They're problem solvers. They're sort of cautious about new things. 473 00:27:30,316 --> 00:27:32,556 Speaker 1: You talk to any exterminator. It's like very hard to 474 00:27:32,556 --> 00:27:35,356 Speaker 1: get a rat to eat poison. Like they they are 475 00:27:35,716 --> 00:27:37,916 Speaker 1: very careful about what they eat, what risks they take. 476 00:27:38,516 --> 00:27:45,516 Speaker 1: Raccoons are extremely disinhibited. They aren't wary at all. A 477 00:27:45,636 --> 00:27:48,796 Speaker 1: raccoon can live to like twenty in a lab. In 478 00:27:48,876 --> 00:27:51,316 Speaker 1: the wild, they tend to live two to three years 479 00:27:51,636 --> 00:27:53,476 Speaker 1: because they're just sort of like, what's that do and 480 00:27:53,516 --> 00:27:57,236 Speaker 1: they just like like could jam their fingers in a socket. 481 00:27:57,756 --> 00:28:00,796 Speaker 1: It's like and that's the end of the raccoon. We 482 00:28:00,916 --> 00:28:05,756 Speaker 1: built the world for rats, but we are functionally raccoons, 483 00:28:05,956 --> 00:28:08,476 Speaker 1: and so we are dissatisfied with the rat world. But 484 00:28:08,556 --> 00:28:10,676 Speaker 1: it is the fact that we have the rat world 485 00:28:11,036 --> 00:28:13,236 Speaker 1: that has kept us from blowing it all up in 486 00:28:13,276 --> 00:28:14,076 Speaker 1: our face so far. 487 00:28:14,316 --> 00:28:15,636 Speaker 5: No, yes, you can't. 488 00:28:15,756 --> 00:28:19,076 Speaker 3: What you never plan for in a world built on 489 00:28:20,436 --> 00:28:24,196 Speaker 3: rats on the rat model, is it someone instead of 490 00:28:24,196 --> 00:28:27,476 Speaker 3: trying to navigate the maze, just wants to burn it down. 491 00:28:28,076 --> 00:28:30,356 Speaker 3: That's the one thing. The ret is never going to 492 00:28:30,476 --> 00:28:33,596 Speaker 3: do that, and the rat's never going to effectively commit 493 00:28:33,636 --> 00:28:37,396 Speaker 3: a kind of institutional suicide. The raccoon just wants to 494 00:28:37,436 --> 00:28:39,116 Speaker 3: destroy things. 495 00:28:39,916 --> 00:28:42,676 Speaker 1: I did a complete one eighty on this story. I 496 00:28:42,716 --> 00:28:45,436 Speaker 1: started thinking that the rat model was a disgrace because 497 00:28:45,516 --> 00:28:48,916 Speaker 1: I had rats all wrong. I see now, it was 498 00:28:48,996 --> 00:28:53,916 Speaker 1: kind of utopian. Every need could be anticipated, every behavior nudged, 499 00:28:54,356 --> 00:28:59,316 Speaker 1: every outcome predicted, and every person satisfied. But there is 500 00:28:59,436 --> 00:29:03,836 Speaker 1: no one animal model for human behavior. Rats its own thing, 501 00:29:04,156 --> 00:29:07,916 Speaker 1: elab rats its own thing. Raccoons are really their own thing, 502 00:29:08,436 --> 00:29:10,916 Speaker 1: And we're not one or the other. We're all of 503 00:29:10,956 --> 00:29:15,276 Speaker 1: the above and something else. But these days it seems 504 00:29:15,316 --> 00:29:19,436 Speaker 1: clear we definitely did ourselves a disservice when we forgot 505 00:29:19,556 --> 00:29:27,916 Speaker 1: about the raccoon. Sadly I never got to come face 506 00:29:27,956 --> 00:29:30,676 Speaker 1: to face with a raccoon and reporting this story, but 507 00:29:30,756 --> 00:29:32,796 Speaker 1: I did get to meet a labrat. 508 00:29:35,756 --> 00:29:36,316 Speaker 3: Rooms. 509 00:29:37,436 --> 00:29:39,636 Speaker 7: I love designing tests for rats. 510 00:29:39,996 --> 00:29:42,556 Speaker 1: Kelly Lambert now studies all kinds of animals in all 511 00:29:42,636 --> 00:29:46,596 Speaker 1: kinds of places. She's particularly interested in wild animals these days, 512 00:29:46,836 --> 00:29:49,956 Speaker 1: but Lambert still has a soft spot for the labrat. 513 00:29:50,156 --> 00:29:52,836 Speaker 1: When I visited her at the University of Richmond, she 514 00:29:52,916 --> 00:29:55,876 Speaker 1: took me back into a locked set of rooms. There 515 00:29:55,876 --> 00:29:59,396 Speaker 1: were signs up that said quiet behavioral testing in progress, 516 00:30:00,156 --> 00:30:02,836 Speaker 1: and behind one of the doors a cage with two 517 00:30:02,916 --> 00:30:04,756 Speaker 1: rats she's been teaching to drive. 518 00:30:06,756 --> 00:30:10,716 Speaker 7: They're generally, you know, like kittens. I have to suit up. 519 00:30:10,796 --> 00:30:14,916 Speaker 7: It would bite my nose off. So they've been bread 520 00:30:15,236 --> 00:30:20,636 Speaker 7: to be able to handle them easily. So if I'm 521 00:30:20,636 --> 00:30:23,236 Speaker 7: looking at aggression or stress, this may not be the 522 00:30:23,276 --> 00:30:24,556 Speaker 7: best model to use. 523 00:30:25,236 --> 00:30:27,916 Speaker 1: I leaned closer to the rat. Lambert seemed to think 524 00:30:27,956 --> 00:30:30,356 Speaker 1: he was showing an unusual interest in my microphone. 525 00:30:31,916 --> 00:30:33,876 Speaker 7: You're more interested in the novel than the. 526 00:30:33,876 --> 00:30:36,476 Speaker 1: Food, more curious about the microphone. I wonder what it 527 00:30:36,516 --> 00:30:39,796 Speaker 1: is about that. Actually the rat was really grabbing at 528 00:30:39,796 --> 00:30:42,396 Speaker 1: the mic, pulling it closer to its snout. 529 00:30:43,036 --> 00:30:45,956 Speaker 7: Podcast rat, this is your first rat podcaster. 530 00:30:48,596 --> 00:30:51,636 Speaker 1: It was really weird. He wasn't climbing on the mic. 531 00:30:51,676 --> 00:30:53,956 Speaker 1: He was just yanking it right up to his face. 532 00:30:54,596 --> 00:30:56,476 Speaker 1: Not something you would have predicted if you know about 533 00:30:56,596 --> 00:31:00,196 Speaker 1: rats and how wary they are. A mystery. I felt 534 00:31:00,196 --> 00:31:02,356 Speaker 1: like maybe that rat was trying to tell me something. 535 00:31:03,076 --> 00:31:07,556 Speaker 1: Rats communicate via ultrasonic frequencies. So a few days later, 536 00:31:07,636 --> 00:31:11,596 Speaker 1: when I got home, processed the audio, pitch shifted it 537 00:31:11,636 --> 00:31:13,316 Speaker 1: down and hit play. 538 00:31:14,116 --> 00:31:16,196 Speaker 4: Have you ever seen a raccoon drive a car? Long 539 00:31:16,316 --> 00:31:17,676 Speaker 4: Live the Librat? 540 00:31:18,756 --> 00:31:22,316 Speaker 1: Sorry, buddy, I know you're right, but it's the raccoon's 541 00:31:22,356 --> 00:31:33,276 Speaker 1: time now. Revision of History is produced by me Ben 542 00:31:33,316 --> 00:31:37,716 Speaker 1: Mattip Haffrey, Lucy Sullivan, and Nina Bird Lawrence. Our editor 543 00:31:37,796 --> 00:31:42,476 Speaker 1: is Karen Schakerji, fact checking by Anica Robbins, original scoring 544 00:31:42,556 --> 00:31:46,436 Speaker 1: by Luis Kara, mixing and mastering on this episode by 545 00:31:46,436 --> 00:31:50,956 Speaker 1: Echo Mountain. Our executive producer is Jacob Smith. Special thanks 546 00:31:50,996 --> 00:31:54,196 Speaker 1: to Lizette Barton at the Doctors Nicholas and Dorothy Cummings 547 00:31:54,236 --> 00:31:56,996 Speaker 1: Center for the History of Psychology, and to Sarah Nix 548 00:31:57,196 --> 00:32:04,956 Speaker 1: and Greta Cone. I'm Bennatip Haffrey 549 00:32:09,196 --> 00:32:09,236 Speaker 8: O