1 00:00:02,640 --> 00:00:05,720 Speaker 1: Hey, everyone, welcome to Houndations. I'm your host Tony Peterson, 2 00:00:05,760 --> 00:00:08,520 Speaker 1: and today's episode is all about how smart dogs really 3 00:00:08,560 --> 00:00:17,599 Speaker 1: are and why that shouldn't matter to all of us. Look, 4 00:00:17,920 --> 00:00:20,479 Speaker 1: I know you have the smartest dog out there, but 5 00:00:20,560 --> 00:00:22,680 Speaker 1: the other guys who you see hunting the slews before 6 00:00:22,720 --> 00:00:26,560 Speaker 1: you definitely have some total blockheads. The intelligence of dogs 7 00:00:26,600 --> 00:00:29,360 Speaker 1: in general is as varied as it is in humans, 8 00:00:29,720 --> 00:00:32,640 Speaker 1: and it's also something that is part genetic, part good luck, 9 00:00:32,760 --> 00:00:36,440 Speaker 1: and part practice. It's a fun topic to explore, but 10 00:00:36,520 --> 00:00:39,559 Speaker 1: there are also some lessons in it that everyone can 11 00:00:39,600 --> 00:00:42,839 Speaker 1: take away and used to help sort of level up 12 00:00:42,840 --> 00:00:45,400 Speaker 1: the dog ownership experience, which is what I'm going to 13 00:00:45,400 --> 00:00:54,680 Speaker 1: talk about right now. Way back in nineteen oh four, 14 00:00:54,800 --> 00:00:57,640 Speaker 1: a French fellow by the name of Alfred Bennet was 15 00:00:57,720 --> 00:01:00,480 Speaker 1: tasked by the Paris School Board to develop a test 16 00:01:00,520 --> 00:01:03,680 Speaker 1: for children to see which ones would need special education. 17 00:01:04,640 --> 00:01:08,200 Speaker 1: He partnered up with a colleague, Theodore Simon, on the project. 18 00:01:09,160 --> 00:01:12,399 Speaker 1: They realized quickly that the test needs to show whether 19 00:01:12,480 --> 00:01:16,880 Speaker 1: the kids could handle intellectual tasks, not just recall information 20 00:01:17,040 --> 00:01:20,480 Speaker 1: they might have learned in school. The test they developed 21 00:01:20,520 --> 00:01:25,280 Speaker 1: involved having the kids imitate specific gestures, name objects and pictures, 22 00:01:25,360 --> 00:01:30,200 Speaker 1: repeat sentences of fifteen words, and follow simple commands. It 23 00:01:30,280 --> 00:01:34,000 Speaker 1: worked at least to establish a base level of intellectual 24 00:01:34,040 --> 00:01:38,360 Speaker 1: capability in kids, so Beney and Simon expanded their testing 25 00:01:38,440 --> 00:01:42,240 Speaker 1: procedures into bigger categories and to address a wider range 26 00:01:42,280 --> 00:01:46,399 Speaker 1: in children. Well. Their tests would go through quite a 27 00:01:46,400 --> 00:01:49,280 Speaker 1: bit of evolution over the years, and it did eventually 28 00:01:49,320 --> 00:01:52,200 Speaker 1: deliver unto the world a way to score intelligence, which 29 00:01:52,240 --> 00:01:56,840 Speaker 1: we now know as the IQ score. With the framework built, 30 00:01:57,040 --> 00:02:00,360 Speaker 1: testers would factor in a subject's age and then their abilities, 31 00:02:00,720 --> 00:02:04,160 Speaker 1: and it would spit out a specific score. This allowed 32 00:02:04,160 --> 00:02:07,080 Speaker 1: for the establishment of a baseline, but there was a problem. 33 00:02:07,720 --> 00:02:11,360 Speaker 1: It obviously isn't a static measurement because people grow and 34 00:02:11,480 --> 00:02:16,560 Speaker 1: change and learn and sometimes stop learning. So the IQ 35 00:02:16,720 --> 00:02:19,400 Speaker 1: score was a good indicator of intelligence within a kind 36 00:02:19,440 --> 00:02:23,639 Speaker 1: of a tight peer group, but not much more. Eventually, 37 00:02:23,680 --> 00:02:26,840 Speaker 1: a dude named David Weschler took a stab at making 38 00:02:26,880 --> 00:02:30,960 Speaker 1: intelligence tests more relevant to both adults and children, and 39 00:02:31,000 --> 00:02:33,240 Speaker 1: to tweak them in a way that was more representative 40 00:02:33,240 --> 00:02:37,280 Speaker 1: of overall intellect. These are what we'd call aptitude tests, 41 00:02:37,440 --> 00:02:40,120 Speaker 1: which can be a strong predictor of many things in life, 42 00:02:40,400 --> 00:02:43,239 Speaker 1: as opposed to achievement tests, which are designed to see 43 00:02:43,240 --> 00:02:46,480 Speaker 1: how much information on a given lesson someone has retained. 44 00:02:47,760 --> 00:02:50,639 Speaker 1: Over the last one hundred and twenty one years. Those 45 00:02:50,680 --> 00:02:54,280 Speaker 1: intelligence tests have been used for higher education employment, They 46 00:02:54,280 --> 00:02:57,400 Speaker 1: have applications in the armed forces, and are just a 47 00:02:57,600 --> 00:03:02,600 Speaker 1: generally interesting way to assess a person's potential. They are 48 00:03:02,680 --> 00:03:05,120 Speaker 1: far from perfect, but they are also pretty good at 49 00:03:05,120 --> 00:03:07,720 Speaker 1: what they are designed for. Now, we don't really have 50 00:03:07,800 --> 00:03:11,560 Speaker 1: a standardized test for dogs, but it's pretty commonly stated 51 00:03:11,600 --> 00:03:14,519 Speaker 1: that they have the brain power of a toddler, whatever 52 00:03:14,560 --> 00:03:19,040 Speaker 1: that actually means. The problem with measuring dog intelligence is 53 00:03:19,080 --> 00:03:22,720 Speaker 1: that dogs are like people in that the variance is huge, 54 00:03:23,440 --> 00:03:26,239 Speaker 1: and it really doesn't matter if you get a breed 55 00:03:26,520 --> 00:03:29,840 Speaker 1: like say at border Collies that is generally known to 56 00:03:29,880 --> 00:03:31,920 Speaker 1: be pretty smart, and you put it up against a 57 00:03:31,960 --> 00:03:35,200 Speaker 1: breed like the Dalmatian that is, you know, generally believed 58 00:03:35,200 --> 00:03:38,920 Speaker 1: to be a not quite as smart, what does that matter? 59 00:03:40,000 --> 00:03:42,440 Speaker 1: What matters to us as dog owners is how smart 60 00:03:42,480 --> 00:03:45,040 Speaker 1: our dogs are and what can we do with that 61 00:03:45,120 --> 00:03:49,680 Speaker 1: intelligence to help them become better dogs overall. But first, 62 00:03:50,120 --> 00:03:52,960 Speaker 1: at the very least, anyway, it's important to acknowledge something 63 00:03:52,960 --> 00:03:57,040 Speaker 1: about canine and brain power. We often confuse which is, 64 00:03:57,200 --> 00:04:02,240 Speaker 1: you know, repetition with knowledge. Take my two dogs, Luna 65 00:04:02,280 --> 00:04:05,040 Speaker 1: and Sadie. Five years ago, I would have told you 66 00:04:05,120 --> 00:04:08,320 Speaker 1: Luna is pretty dang smart, thank you very much. She 67 00:04:08,360 --> 00:04:10,440 Speaker 1: could find a rooster or a quail or a grouse, 68 00:04:10,520 --> 00:04:12,760 Speaker 1: or run hand signals into the chop to find a 69 00:04:12,800 --> 00:04:16,559 Speaker 1: down duck like an absolute machine. Training her wasn't hard 70 00:04:16,600 --> 00:04:19,599 Speaker 1: because all she wanted to do was train. But is 71 00:04:19,640 --> 00:04:23,960 Speaker 1: that smart? Her younger sister, Sadie, is a different kind 72 00:04:23,960 --> 00:04:26,880 Speaker 1: of beast. Sadie loves to show up for work, but 73 00:04:26,920 --> 00:04:30,080 Speaker 1: you can actually watch her solve problems and ask for help. 74 00:04:30,839 --> 00:04:34,240 Speaker 1: She doesn't have the mindless terminator drive of Luna when 75 00:04:34,240 --> 00:04:38,279 Speaker 1: it comes to retrieving drills or whatever, but she reasons, 76 00:04:38,440 --> 00:04:41,040 Speaker 1: or at least sure looks like she does, and when 77 00:04:41,080 --> 00:04:43,920 Speaker 1: she learns a lesson, it's like it sticks forever and 78 00:04:43,960 --> 00:04:47,679 Speaker 1: will never be a problem again. She also has better 79 00:04:47,720 --> 00:04:50,479 Speaker 1: blood than Luna overall, and that's the secret sauce to 80 00:04:50,520 --> 00:04:53,600 Speaker 1: the whole thing. A dog that comes from a line 81 00:04:53,600 --> 00:04:56,400 Speaker 1: of field trial champs and master hunters is a dog 82 00:04:56,440 --> 00:04:59,680 Speaker 1: that is going to have some generations of problem solving 83 00:04:59,760 --> 00:05:03,560 Speaker 1: cod in its genes. Think about it this way. If 84 00:05:03,600 --> 00:05:06,280 Speaker 1: you took a man who is a master chess champion, 85 00:05:06,640 --> 00:05:09,560 Speaker 1: and that man finds a wife who is an astrophysicist 86 00:05:09,800 --> 00:05:12,080 Speaker 1: who spends all day trying to solve the kinds of 87 00:05:12,080 --> 00:05:15,320 Speaker 1: mathematical equations that tell us what's going on in deep space, 88 00:05:16,279 --> 00:05:18,480 Speaker 1: you'd probably think that their child will be the kind 89 00:05:18,520 --> 00:05:20,719 Speaker 1: of kid who's not going to put his pants on 90 00:05:20,839 --> 00:05:23,120 Speaker 1: backwards and shove crans up his nose when he's eight. 91 00:05:23,560 --> 00:05:26,560 Speaker 1: It's not going to happen. When we think of genetics 92 00:05:26,560 --> 00:05:29,560 Speaker 1: and dogs, we often just think of body size or 93 00:05:29,720 --> 00:05:34,000 Speaker 1: fur color, or hunting drive and ability, maybe temperament, but 94 00:05:34,040 --> 00:05:38,039 Speaker 1: we don't think of intelligence and problem solving. Now, those 95 00:05:38,080 --> 00:05:41,320 Speaker 1: professional trainers out there, you know, the ones that folks 96 00:05:41,400 --> 00:05:43,520 Speaker 1: pay good money to in order to whip their dogs 97 00:05:43,520 --> 00:05:46,919 Speaker 1: into shape. Those trainers, they think about that stuff a lot, 98 00:05:47,600 --> 00:05:49,760 Speaker 1: and it's part of the reason their dogs are often 99 00:05:49,960 --> 00:05:53,400 Speaker 1: so dang good. Now, it's not the only reason, since 100 00:05:53,440 --> 00:05:55,880 Speaker 1: a shitty trainer could ruin the most well bred and 101 00:05:55,920 --> 00:05:58,839 Speaker 1: smartest dog out there in a hurry, But most of 102 00:05:58,880 --> 00:06:03,040 Speaker 1: them start with real good material, and that matters. Now 103 00:06:03,040 --> 00:06:05,880 Speaker 1: I've gone off track just a little bit here. Now 104 00:06:05,920 --> 00:06:08,479 Speaker 1: you can get a dog to a very reliable state 105 00:06:08,480 --> 00:06:12,520 Speaker 1: through repetition, and that's important. You won't get a dog 106 00:06:12,600 --> 00:06:15,080 Speaker 1: that can work double blind retrees with ease by not 107 00:06:15,160 --> 00:06:18,279 Speaker 1: training every single part of double blind retrieves a hell 108 00:06:18,279 --> 00:06:20,680 Speaker 1: of a lot of times over in a variety of 109 00:06:20,720 --> 00:06:25,080 Speaker 1: situations and around a pile of different distractions. How quickly 110 00:06:25,120 --> 00:06:27,880 Speaker 1: the lessons take and how well they stick will be 111 00:06:27,960 --> 00:06:32,680 Speaker 1: informed heavily by a dog's mental horsepower, though now. I 112 00:06:32,720 --> 00:06:35,480 Speaker 1: interviewed a guy named Phonsie Bissan quite a few years 113 00:06:35,480 --> 00:06:38,239 Speaker 1: ago for a different podcast I had, and I asked 114 00:06:38,320 --> 00:06:42,279 Speaker 1: him about his favorite breed, which is Border Collies. I 115 00:06:42,360 --> 00:06:44,960 Speaker 1: figured he would say they were the smartest dogs out there, 116 00:06:45,320 --> 00:06:48,080 Speaker 1: but he brought up an interesting anecdote about his dogs 117 00:06:48,080 --> 00:06:50,440 Speaker 1: that made me think. He said that he had a 118 00:06:50,440 --> 00:06:52,440 Speaker 1: particular dog that would ride in the back of his 119 00:06:52,480 --> 00:06:55,080 Speaker 1: truck when they were working sheep, and that the dog 120 00:06:55,120 --> 00:06:57,440 Speaker 1: would leap out and do his job at exactly the 121 00:06:57,480 --> 00:07:00,239 Speaker 1: moment it was supposed to. He said people were often 122 00:07:00,440 --> 00:07:03,400 Speaker 1: very impressed by that move and would comment on how 123 00:07:03,440 --> 00:07:06,359 Speaker 1: smart the dog must have been, but he knew that 124 00:07:06,400 --> 00:07:10,880 Speaker 1: the dog had done that move hundreds of times. To him, 125 00:07:10,960 --> 00:07:13,160 Speaker 1: it was just learn behavior and not a signal that 126 00:07:13,200 --> 00:07:15,640 Speaker 1: the dog was reasoning exactly when he should do his 127 00:07:15,760 --> 00:07:19,560 Speaker 1: job and how he should do it. Outwardly it appeared 128 00:07:19,600 --> 00:07:23,040 Speaker 1: as a big brain move, but inwardly it was mostly 129 00:07:23,120 --> 00:07:26,800 Speaker 1: evidence of repetition and practice. That's not to say that 130 00:07:26,880 --> 00:07:30,640 Speaker 1: dogs don't display crazy levels of intelligence at different points. 131 00:07:31,240 --> 00:07:33,640 Speaker 1: We've all seen videos of the dogs that can use 132 00:07:33,680 --> 00:07:36,760 Speaker 1: a soundboard to push different buttons, each of which then 133 00:07:36,800 --> 00:07:41,120 Speaker 1: produces a spoken word. There was a speech language pathologist 134 00:07:41,160 --> 00:07:44,000 Speaker 1: out in California sometime back who was working with a 135 00:07:44,080 --> 00:07:47,000 Speaker 1: Catahoula Blue Healer mix to see how far the dog 136 00:07:47,040 --> 00:07:50,560 Speaker 1: could go in stringing together words and communicating with her. 137 00:07:51,280 --> 00:07:54,200 Speaker 1: Her dog learned at first to use a single paw 138 00:07:54,240 --> 00:07:56,240 Speaker 1: to hit a button that would produce a word like 139 00:07:56,360 --> 00:08:00,200 Speaker 1: eat or play, and then eventually it would use two 140 00:08:00,320 --> 00:08:04,320 Speaker 1: pause to hit different buttons which could add qualifiers. Instead 141 00:08:04,320 --> 00:08:07,520 Speaker 1: of just eat, it would be eat now or play now, 142 00:08:07,640 --> 00:08:11,840 Speaker 1: which is pretty cool but could also be explained away 143 00:08:11,840 --> 00:08:14,680 Speaker 1: by repetition, although I'd like to think that dog is 144 00:08:14,720 --> 00:08:17,720 Speaker 1: doing more than that and is actually a reasoning out thoughts. 145 00:08:18,040 --> 00:08:21,240 Speaker 1: While having the first legitimate way to speak English to 146 00:08:21,320 --> 00:08:35,840 Speaker 1: a human, I also can't help. But think if you 147 00:08:35,920 --> 00:08:38,960 Speaker 1: trained a Labrador retriever like Luna to use that board, 148 00:08:39,480 --> 00:08:42,160 Speaker 1: all you would hear all day long is eat now, 149 00:08:42,480 --> 00:08:45,640 Speaker 1: Eat now, Eat now, until you threw that soundboard into 150 00:08:45,640 --> 00:08:49,240 Speaker 1: the backyard pond. There are some examples out there of 151 00:08:49,320 --> 00:08:52,280 Speaker 1: dogs doing things that just seem to indicate a higher 152 00:08:52,400 --> 00:08:55,800 Speaker 1: level of problem solving and reasoning than even those soundboard dogs. 153 00:08:56,360 --> 00:08:59,240 Speaker 1: One of the best examples I've ever heard came from 154 00:08:59,280 --> 00:09:01,840 Speaker 1: a buddy of mine I named Jordan Horrock, who is 155 00:09:01,880 --> 00:09:05,480 Speaker 1: a really, really good dog trainer with an affinity toward 156 00:09:05,559 --> 00:09:09,200 Speaker 1: English cockers. Horrock told me a story one time of 157 00:09:09,240 --> 00:09:11,720 Speaker 1: a male cocker that he had in his kennel who 158 00:09:11,800 --> 00:09:15,520 Speaker 1: was particularly crafty. This dog figured out how to open 159 00:09:15,559 --> 00:09:19,400 Speaker 1: the lock on his enclosure door and let himself out. Now, 160 00:09:19,440 --> 00:09:22,320 Speaker 1: that could be a happy accident for the dog, maybe 161 00:09:22,320 --> 00:09:25,079 Speaker 1: by just bumping the latch with its nose and noticing 162 00:09:25,080 --> 00:09:27,719 Speaker 1: that it moves, Or maybe at some point where in 163 00:09:27,800 --> 00:09:30,120 Speaker 1: Jordan's kids didn't fully engage it and the dog got 164 00:09:30,200 --> 00:09:34,040 Speaker 1: lucky and opened it. Who really knows what happened next 165 00:09:34,280 --> 00:09:37,080 Speaker 1: is a different story, though. Horrock said that when the 166 00:09:37,160 --> 00:09:40,240 Speaker 1: male figured out he could jail break himself he would 167 00:09:40,320 --> 00:09:43,160 Speaker 1: go along the run and open the doors only to 168 00:09:43,240 --> 00:09:46,280 Speaker 1: the females. I don't know how to describe that as 169 00:09:46,360 --> 00:09:49,600 Speaker 1: anything other than a big brain move. You leave your 170 00:09:49,600 --> 00:09:52,440 Speaker 1: competition locked up and give yourself free rein over all 171 00:09:52,520 --> 00:09:56,520 Speaker 1: the ladies. Stories like that point to a dog learning 172 00:09:56,600 --> 00:10:00,480 Speaker 1: something it hasn't been taught and then expand on that 173 00:10:00,559 --> 00:10:04,720 Speaker 1: knowledge to use it for a further advantage. This isn't 174 00:10:04,840 --> 00:10:07,480 Speaker 1: quite like jail breaking yourself and then having a party 175 00:10:07,480 --> 00:10:09,920 Speaker 1: with a bunch of females. But I took Luna down 176 00:10:09,960 --> 00:10:12,920 Speaker 1: to Nebraska when she was maybe five years old to 177 00:10:13,000 --> 00:10:15,000 Speaker 1: hunt across the state and see if we could find 178 00:10:15,000 --> 00:10:18,000 Speaker 1: some prairie chickens and sharpies and roosters and even quail 179 00:10:18,000 --> 00:10:20,480 Speaker 1: on the public land down there. And when we hit 180 00:10:20,520 --> 00:10:22,800 Speaker 1: a ridgetop on a property in the central part of 181 00:10:22,840 --> 00:10:25,360 Speaker 1: the state that I had deer hunted previously and I 182 00:10:25,440 --> 00:10:28,560 Speaker 1: knew held a couple covees of quail, I watched to 183 00:10:28,559 --> 00:10:31,560 Speaker 1: see how she'd handle it, and at one point she 184 00:10:31,640 --> 00:10:33,960 Speaker 1: poked her nose beneath a cedar tree and her tail 185 00:10:33,960 --> 00:10:36,920 Speaker 1: went into helicopter mode. I figured we were working with 186 00:10:36,960 --> 00:10:39,840 Speaker 1: some robins or something, since she had never seen or 187 00:10:39,880 --> 00:10:43,319 Speaker 1: smelled a quail in her life. When that covey busted 188 00:10:43,320 --> 00:10:46,040 Speaker 1: out of the backside of that tree, I fumbled with 189 00:10:46,080 --> 00:10:48,000 Speaker 1: my shotgun like it was my first time trying to 190 00:10:48,040 --> 00:10:51,240 Speaker 1: shoulder one while trying to find the safety and the trigger, 191 00:10:51,520 --> 00:10:53,320 Speaker 1: like I had just had a bad run with some 192 00:10:53,360 --> 00:10:56,679 Speaker 1: tequila and firecrackers and blown off most of my important digits. 193 00:10:57,520 --> 00:11:01,000 Speaker 1: Needless to say, that covey scattered without a shot being fired. 194 00:11:01,400 --> 00:11:03,520 Speaker 1: But as we worked the singles and then moved on 195 00:11:03,600 --> 00:11:06,640 Speaker 1: from those birds, I watched as she would read the 196 00:11:06,760 --> 00:11:10,760 Speaker 1: landscape and check underneath every single seater out there. It 197 00:11:10,840 --> 00:11:13,080 Speaker 1: was like watching her learn in real time, and it 198 00:11:13,120 --> 00:11:16,199 Speaker 1: was cool as hell. The thing about all that stuff 199 00:11:16,559 --> 00:11:18,800 Speaker 1: is that we look at dog intelligence not only as 200 00:11:18,920 --> 00:11:22,360 Speaker 1: kind of a general thing across whole breeds, sort of 201 00:11:22,400 --> 00:11:25,400 Speaker 1: like how on a nature documentary, some deep voice fella 202 00:11:25,840 --> 00:11:28,679 Speaker 1: will say something like, you know, gazelle's can leap twelve 203 00:11:28,679 --> 00:11:32,160 Speaker 1: feet in the air, but which gazelle's certainly not all 204 00:11:32,200 --> 00:11:35,360 Speaker 1: of them. Alex Hanold, who's one of the best mountain 205 00:11:35,360 --> 00:11:38,800 Speaker 1: climbers in the world, can free solo climb three thousand 206 00:11:38,880 --> 00:11:41,520 Speaker 1: or so feet of vertical rock without dying. But that 207 00:11:41,559 --> 00:11:44,640 Speaker 1: doesn't mean that I can. Even if I tried, I'd 208 00:11:44,640 --> 00:11:46,560 Speaker 1: slip off the rocks at the height of maybe a 209 00:11:46,600 --> 00:11:49,720 Speaker 1: basketball hoop from how sweaty my palms would be and 210 00:11:49,760 --> 00:11:52,480 Speaker 1: how slippery the rocks would be after I pissed myself. 211 00:11:53,559 --> 00:11:57,760 Speaker 1: Dog intelligence is all about the individual, and it's all 212 00:11:57,800 --> 00:12:01,440 Speaker 1: about what we do with the individual. This is maybe 213 00:12:01,480 --> 00:12:04,559 Speaker 1: the most important thing for us to acknowledge here. We 214 00:12:04,600 --> 00:12:08,480 Speaker 1: have control of how much we maximize our dogs' brains, 215 00:12:08,559 --> 00:12:11,480 Speaker 1: just like we have control over our own brains. With 216 00:12:11,600 --> 00:12:14,280 Speaker 1: our dogs. The biggest problem a lot of folks have 217 00:12:14,679 --> 00:12:18,240 Speaker 1: is they underestimate what dogs are really capable of, so 218 00:12:18,280 --> 00:12:21,880 Speaker 1: they never try to get them somewhere special. This is 219 00:12:21,920 --> 00:12:24,240 Speaker 1: maybe a poor example or maybe not. I don't know, 220 00:12:24,640 --> 00:12:26,160 Speaker 1: but when I found out that I was going to 221 00:12:26,240 --> 00:12:29,120 Speaker 1: have two little girls at the same time, I realized 222 00:12:29,160 --> 00:12:30,600 Speaker 1: that I didn't know a hell of a lot about 223 00:12:30,679 --> 00:12:33,480 Speaker 1: raising little girls. Much of the stuff I read about 224 00:12:33,520 --> 00:12:35,880 Speaker 1: it said that one of the things we have done 225 00:12:35,960 --> 00:12:39,079 Speaker 1: is a society for a long time, and it's sort 226 00:12:39,080 --> 00:12:42,680 Speaker 1: of an unconscious thing but still pretty damaging, is that 227 00:12:42,720 --> 00:12:46,160 Speaker 1: we focus on the aesthetics for the girls. With little boys. 228 00:12:46,240 --> 00:12:49,160 Speaker 1: We are quick to compliment them on being smart and 229 00:12:49,320 --> 00:12:53,280 Speaker 1: strong and you know, having some attributes that are generally 230 00:12:53,440 --> 00:12:58,000 Speaker 1: very positive and useful and admirable. But with little girls, 231 00:12:58,040 --> 00:12:59,960 Speaker 1: we are quick to point out how cute they are, 232 00:13:00,360 --> 00:13:03,280 Speaker 1: how we like their princess dresses, and our focus is 233 00:13:03,320 --> 00:13:07,040 Speaker 1: not on their brains or strength but their appearance. Now, 234 00:13:07,120 --> 00:13:09,960 Speaker 1: this can follow them throughout life, and it's a disservice 235 00:13:10,000 --> 00:13:12,120 Speaker 1: to them to condition them to believe their value is 236 00:13:12,160 --> 00:13:14,560 Speaker 1: locked up largely on their paint job and not what 237 00:13:14,640 --> 00:13:18,120 Speaker 1: they have going on under the hood. We often don't 238 00:13:18,200 --> 00:13:21,480 Speaker 1: think our dogs are capable of doing big brain things, 239 00:13:21,640 --> 00:13:23,840 Speaker 1: but that's because we either just don't ask them to 240 00:13:23,880 --> 00:13:27,600 Speaker 1: do those things, or more often, don't ask them in 241 00:13:27,640 --> 00:13:30,480 Speaker 1: a way that allows them to answer correctly. And the 242 00:13:30,559 --> 00:13:33,600 Speaker 1: more we don't ask them to solve problems, the worse 243 00:13:33,760 --> 00:13:37,400 Speaker 1: they get at solving problems. Looking at the brain like 244 00:13:37,440 --> 00:13:41,640 Speaker 1: it's a muscle that can atrophy is important. It isn't 245 00:13:41,640 --> 00:13:44,360 Speaker 1: a coincidence that an awful lot of the people who 246 00:13:44,440 --> 00:13:48,960 Speaker 1: are really successful in life also happen to be voracious readers. 247 00:13:49,760 --> 00:13:51,880 Speaker 1: Reading is kind of a cheat code to keeping your 248 00:13:51,920 --> 00:13:55,880 Speaker 1: brain's momentum moving in the right direction through learning and visualization. 249 00:13:56,000 --> 00:14:00,520 Speaker 1: And engagement, and that matters with dogs. The more we 250 00:14:00,600 --> 00:14:03,200 Speaker 1: work with them to solve different problems, the better they 251 00:14:03,240 --> 00:14:07,400 Speaker 1: get at solving them. Take finding a dead ruffed grouse, 252 00:14:07,400 --> 00:14:10,200 Speaker 1: for example, you go walk the logging roads on a 253 00:14:10,280 --> 00:14:13,040 Speaker 1: national forest and a bird flushes in the blink of 254 00:14:13,040 --> 00:14:15,839 Speaker 1: an eye, and somehow your string of shot finds it 255 00:14:16,080 --> 00:14:20,200 Speaker 1: before it gets away, and the grouse tumbles to the ground. Now, 256 00:14:20,200 --> 00:14:22,120 Speaker 1: if your dog didn't see it, it's going to have 257 00:14:22,160 --> 00:14:24,680 Speaker 1: to use your help to find it. If you walk 258 00:14:24,720 --> 00:14:26,720 Speaker 1: that dog in with the wind in its face and 259 00:14:26,760 --> 00:14:29,440 Speaker 1: tell it to haunt dead, hopefully your dog will work 260 00:14:29,480 --> 00:14:31,240 Speaker 1: along until it gets a whiff of the good stuff 261 00:14:31,240 --> 00:14:34,000 Speaker 1: and then retrieves it to hand. But you could also 262 00:14:34,120 --> 00:14:36,360 Speaker 1: just walk up and pick up the bird yourself if 263 00:14:36,360 --> 00:14:39,200 Speaker 1: you saw it fall, and the end result would still 264 00:14:39,240 --> 00:14:41,800 Speaker 1: be a tasty bird in your game bag, But your 265 00:14:41,840 --> 00:14:44,000 Speaker 1: dog wouldn't get the same chance to solve a little 266 00:14:44,040 --> 00:14:47,120 Speaker 1: problem out there. And for bird dog owners, that is 267 00:14:47,160 --> 00:14:49,400 Speaker 1: a problem that's going to come up a lot in 268 00:14:49,480 --> 00:14:53,720 Speaker 1: a variety of situations. There'll always be different variables to it. 269 00:14:54,360 --> 00:14:57,240 Speaker 1: Maybe that's too simple of an example, but helping a 270 00:14:57,280 --> 00:15:01,000 Speaker 1: dog develop into a smarter, more capable dog. Ug is 271 00:15:01,120 --> 00:15:04,360 Speaker 1: kind of simple. They need to solve problems, and it's 272 00:15:04,360 --> 00:15:06,080 Speaker 1: not only better for us to have a dog that 273 00:15:06,120 --> 00:15:09,560 Speaker 1: approaches situations with some level of reasoning bouncing around between 274 00:15:09,560 --> 00:15:14,120 Speaker 1: their ears, but it's just better for them. Mental exercise 275 00:15:14,320 --> 00:15:17,400 Speaker 1: is as important as physical exercise, and without it, a 276 00:15:17,440 --> 00:15:19,840 Speaker 1: dog isn't going to be as well behaved or as 277 00:15:19,880 --> 00:15:23,920 Speaker 1: fun to own. They just need to solve puzzles, and 278 00:15:23,960 --> 00:15:26,480 Speaker 1: the more puzzles they solve, the better they'll get at 279 00:15:26,520 --> 00:15:29,880 Speaker 1: solving them. This is maybe the final point I want 280 00:15:29,880 --> 00:15:32,720 Speaker 1: to drive home about this topic. I once interviewed a 281 00:15:32,760 --> 00:15:36,080 Speaker 1: woman who nearly won America's Got Talent with an act 282 00:15:36,120 --> 00:15:39,160 Speaker 1: she put on with her dog. If you watch that act, 283 00:15:39,360 --> 00:15:41,600 Speaker 1: you'd think her dog must be the smartest dog to 284 00:15:41,640 --> 00:15:44,800 Speaker 1: ever set a paw on planet Earth. Now, her dogs 285 00:15:44,800 --> 00:15:47,360 Speaker 1: aren't dummies, so I don't want to imply that, but 286 00:15:47,400 --> 00:15:50,680 Speaker 1: you know what else is true. She asks a lot 287 00:15:50,720 --> 00:15:54,880 Speaker 1: of her dogs. She works with them a ton every day. 288 00:15:55,600 --> 00:15:58,760 Speaker 1: She brought up new challenges, new tasks, and then she 289 00:15:58,800 --> 00:16:01,840 Speaker 1: would help them work through those tasks and help them 290 00:16:01,840 --> 00:16:05,400 Speaker 1: develop those individual skills that could eventually be daisy chained 291 00:16:05,440 --> 00:16:09,480 Speaker 1: together into something that is truly incredible to witness. Does 292 00:16:09,520 --> 00:16:12,880 Speaker 1: she have the most intelligent dogs on the planet. Probably not, 293 00:16:13,480 --> 00:16:15,360 Speaker 1: but she's taking dogs with a hell of a lot 294 00:16:15,360 --> 00:16:18,040 Speaker 1: of potential and then guiding her dogs to realize that 295 00:16:18,120 --> 00:16:21,200 Speaker 1: potential in a way that most folks would say is impossible. 296 00:16:21,800 --> 00:16:24,720 Speaker 1: It's not. We just either don't know what to ask 297 00:16:24,760 --> 00:16:28,080 Speaker 1: of our dogs, or worse, assume that our dogs have 298 00:16:28,120 --> 00:16:30,520 Speaker 1: a low ceiling for what they can handle, and so 299 00:16:30,560 --> 00:16:33,040 Speaker 1: we never check to see if they can bust right 300 00:16:33,080 --> 00:16:36,640 Speaker 1: through it and show us something that will make us 301 00:16:36,720 --> 00:16:41,400 Speaker 1: rethink their capabilities. One of the things that's really really 302 00:16:41,520 --> 00:16:45,520 Speaker 1: cool about that is that while their intelligence is theirs, 303 00:16:46,360 --> 00:16:50,880 Speaker 1: it's potential hinges on their relationship to us. Dogs will 304 00:16:50,960 --> 00:16:54,360 Speaker 1: literally ask us for help if they have the opportunity. 305 00:16:54,760 --> 00:16:58,640 Speaker 1: And you know who doesn't do that. Domesticated wolves. They 306 00:16:58,720 --> 00:17:01,520 Speaker 1: meet problems on their own and they don't know how 307 00:17:01,560 --> 00:17:03,920 Speaker 1: to look to humans for guidance. But our dogs do, 308 00:17:04,400 --> 00:17:07,679 Speaker 1: and it's our obligation to help them out when it 309 00:17:07,720 --> 00:17:11,399 Speaker 1: comes to problem solving. We can literally help them be 310 00:17:11,600 --> 00:17:15,400 Speaker 1: smarter and in turn have a better relationship with them 311 00:17:15,520 --> 00:17:18,879 Speaker 1: for it. I think that's pretty freaking amazing, don't you 312 00:17:20,040 --> 00:17:22,040 Speaker 1: so think about that and think about coming back in 313 00:17:22,040 --> 00:17:23,639 Speaker 1: two weeks because I'm going to talk about how to 314 00:17:23,680 --> 00:17:26,480 Speaker 1: go about finding the right breeder for you, whether you 315 00:17:26,520 --> 00:17:28,159 Speaker 1: know you're in the market for a new puff this 316 00:17:28,280 --> 00:17:30,359 Speaker 1: spring or just might be in the market in the 317 00:17:30,359 --> 00:17:35,200 Speaker 1: next few years. That's it for this week. I'm Tony Peterson. 318 00:17:35,240 --> 00:17:37,960 Speaker 1: This has been The Houndation's podcast. As always, thank you 319 00:17:38,040 --> 00:17:40,360 Speaker 1: so much for listening and for all your support. Call 320 00:17:40,440 --> 00:17:43,920 Speaker 1: and I really appreciated here, as does everybody else at 321 00:17:43,960 --> 00:17:46,160 Speaker 1: mediat Or. We would be nothing without you, so thank 322 00:17:46,200 --> 00:17:49,680 Speaker 1: you for that. If you need some more hunting content, 323 00:17:49,840 --> 00:17:52,960 Speaker 1: some more entertainment, maybe you want to watch a film, 324 00:17:53,119 --> 00:17:55,800 Speaker 1: you know, maybe watch my daughter hunting in the Northwoods 325 00:17:55,840 --> 00:17:58,480 Speaker 1: of Wisconsin last year. Or maybe you want to listen 326 00:17:58,520 --> 00:18:01,920 Speaker 1: to another pot cast on your drive somewhere, maybe Clay's 327 00:18:02,000 --> 00:18:06,200 Speaker 1: Bear Grease or Brents This Country Life. Maybe read some articles, 328 00:18:06,240 --> 00:18:10,080 Speaker 1: find a recipe, whatever thumb mediator dot com we put 329 00:18:10,160 --> 00:18:14,560 Speaker 1: up new content every day. There's so much good stuff. 330 00:18:14,840 --> 00:18:31,560 Speaker 1: Go check it out. The mediator dot com