1 00:00:03,800 --> 00:00:06,680 Speaker 1: Welcome to Stuff to Blow Your Mind from how Stuff 2 00:00:06,680 --> 00:00:13,960 Speaker 1: Works dot Com. Hey, welcome to Stuff to Bowl your Mind. 3 00:00:14,000 --> 00:00:16,680 Speaker 1: My name is Robert Lamb and I'm Julie Douglas. We 4 00:00:16,920 --> 00:00:22,040 Speaker 1: are on the third Map episode. The last two episodes 5 00:00:22,079 --> 00:00:24,800 Speaker 1: we talked a lot about the human experience with maps, 6 00:00:25,160 --> 00:00:28,320 Speaker 1: about all the complex ways that we interact with their maps, 7 00:00:28,600 --> 00:00:33,640 Speaker 1: how core the map is to our understanding of the universe, 8 00:00:33,960 --> 00:00:36,479 Speaker 1: about how complex it gets when you throw in religious 9 00:00:36,600 --> 00:00:41,159 Speaker 1: ideas and philosophic ideas and and all these unreal things, 10 00:00:41,280 --> 00:00:44,159 Speaker 1: and and it just becomes this quagmire. So in this 11 00:00:44,240 --> 00:00:46,680 Speaker 1: episode we are stripping away a lot of the human 12 00:00:46,720 --> 00:00:51,519 Speaker 1: complexity and we're looking at the animal complexity when it 13 00:00:51,520 --> 00:00:54,440 Speaker 1: comes to maps, because you won't find a lot of 14 00:00:54,680 --> 00:00:58,160 Speaker 1: physical maps that have been drawn by like an elephant 15 00:00:58,520 --> 00:01:02,120 Speaker 1: or a beetle. But as far as we know, as 16 00:01:02,120 --> 00:01:04,560 Speaker 1: far as we know, they may not actually create maps, 17 00:01:04,560 --> 00:01:07,560 Speaker 1: but there is mapping going on because because humans were 18 00:01:07,640 --> 00:01:10,160 Speaker 1: mapping before they actually made the maps. If we discussed 19 00:01:10,160 --> 00:01:13,640 Speaker 1: so we have the we have the neural architecture for mapping. 20 00:01:13,680 --> 00:01:17,920 Speaker 1: It's part of how we or any animal moves through 21 00:01:18,800 --> 00:01:22,680 Speaker 1: a three dimensional world full of fixed and movable objects. 22 00:01:22,720 --> 00:01:25,880 Speaker 1: It's just part of our navigational system. Yeah, and there 23 00:01:25,880 --> 00:01:29,880 Speaker 1: are similar similarities between humans and animals, but you could 24 00:01:29,959 --> 00:01:33,920 Speaker 1: argue that animals have a much more sophisticated system than humans. 25 00:01:34,319 --> 00:01:38,759 Speaker 1: And in fact, the term cognitive mapping was the first 26 00:01:38,880 --> 00:01:43,199 Speaker 1: used to describe the superior maze solving abilities of lab rats. 27 00:01:43,319 --> 00:01:46,200 Speaker 1: You know, we think about that term in terms of humans, 28 00:01:46,240 --> 00:01:49,480 Speaker 1: but that is not so Uh. It is these guys 29 00:01:49,560 --> 00:01:53,320 Speaker 1: that really helped us to understand how very well they 30 00:01:53,360 --> 00:01:56,600 Speaker 1: can navigate space. Right, So let's talk about the similarities 31 00:01:56,640 --> 00:01:59,520 Speaker 1: in the way that humans and animals navigate. For starters, 32 00:01:59,720 --> 00:02:02,360 Speaker 1: and something we discussed in one of our previous episodes, 33 00:02:02,920 --> 00:02:07,560 Speaker 1: horizontal vertical neurons. We are we when it comes to 34 00:02:07,600 --> 00:02:12,880 Speaker 1: like a chessboard, we are nearly more similar to the 35 00:02:13,000 --> 00:02:15,920 Speaker 1: rook the little castle that moves up and down side 36 00:02:15,919 --> 00:02:18,960 Speaker 1: to side. Like that's what we understand the most. Uh. 37 00:02:19,120 --> 00:02:21,480 Speaker 1: Throw in the movements of a queen or a bishop 38 00:02:21,520 --> 00:02:24,720 Speaker 1: that's going diagonal, and uh, we're not as we're not 39 00:02:24,760 --> 00:02:29,280 Speaker 1: as hardwired to catch those movements into into move in 40 00:02:29,320 --> 00:02:32,520 Speaker 1: that way in our head. Yeah, they're stealthie moves to us, right, 41 00:02:32,880 --> 00:02:34,880 Speaker 1: And the reason for that is because we have these 42 00:02:34,880 --> 00:02:38,520 Speaker 1: sack codes or eye movements, this machinery that really tracks 43 00:02:38,520 --> 00:02:40,959 Speaker 1: well on this X y axis. And it's the same 44 00:02:41,000 --> 00:02:44,000 Speaker 1: for other animals. Um. And it really makes sense for 45 00:02:44,080 --> 00:02:47,919 Speaker 1: us land lovers, animals and humans because think about our 46 00:02:47,960 --> 00:02:50,399 Speaker 1: coordinates that we deal with all the time. We deal 47 00:02:50,440 --> 00:02:54,679 Speaker 1: with these really vertical trees and this really horizontal landscape. 48 00:02:55,160 --> 00:02:58,440 Speaker 1: So it would make sense that that's how we are oriented. Uh, 49 00:02:58,520 --> 00:03:01,880 Speaker 1: let's say and co paris into something like a sephalopod 50 00:03:01,960 --> 00:03:05,400 Speaker 1: like a squid, in which the coordinates are very different 51 00:03:05,480 --> 00:03:09,280 Speaker 1: underwater in the deep and they don't need that sort 52 00:03:09,280 --> 00:03:11,960 Speaker 1: of X y orientation which we've talked about before. Like 53 00:03:12,040 --> 00:03:15,359 Speaker 1: how incredible it is that they can navigate their space. 54 00:03:15,560 --> 00:03:17,400 Speaker 1: If you if you need any proof that humans live 55 00:03:17,440 --> 00:03:19,919 Speaker 1: them at X y axis, uh, certainly try doing some 56 00:03:20,000 --> 00:03:22,760 Speaker 1: eye exercises where you roll your eye like like the 57 00:03:22,760 --> 00:03:25,200 Speaker 1: hands of the clock, and you'll find that it's that 58 00:03:25,480 --> 00:03:29,400 Speaker 1: diagonal space in between in between the the twelve and 59 00:03:29,440 --> 00:03:32,760 Speaker 1: the three, in between the three and the six, that's 60 00:03:32,800 --> 00:03:35,320 Speaker 1: where you're gonna find a little strain unless you've been 61 00:03:35,480 --> 00:03:39,760 Speaker 1: using I exercises regularly, which you know some people do. 62 00:03:40,000 --> 00:03:43,880 Speaker 1: I suppose we all should really it's just pain. You're right, 63 00:03:43,920 --> 00:03:45,480 Speaker 1: then when I do it in a circle, I can 64 00:03:45,600 --> 00:03:47,560 Speaker 1: really see, but when I go up and down and 65 00:03:47,600 --> 00:03:52,080 Speaker 1: side to side, it's much clear. Uh. So there you go. 66 00:03:52,200 --> 00:03:54,120 Speaker 1: That's that's one of the similarities that we have with 67 00:03:54,160 --> 00:03:57,520 Speaker 1: other animals, at least land dwelling animals. And then we 68 00:03:57,600 --> 00:04:01,800 Speaker 1: have something called path integration. Yes, path integration in a 69 00:04:01,840 --> 00:04:05,440 Speaker 1: sense backtracking. Uh. The example that comes to mind with 70 00:04:05,480 --> 00:04:08,640 Speaker 1: the path integration is you fly somewhere you've never been 71 00:04:08,680 --> 00:04:12,240 Speaker 1: to before. You're on vacation, and basically someone drove you 72 00:04:12,280 --> 00:04:14,920 Speaker 1: to the hotel, so you have no real idea of 73 00:04:14,920 --> 00:04:18,000 Speaker 1: where you are, but you still I guarantee it. If 74 00:04:18,000 --> 00:04:19,720 Speaker 1: you you're in say you're a you're in a hotel 75 00:04:19,720 --> 00:04:22,520 Speaker 1: in Bangkok. You can step out the door. You can 76 00:04:22,560 --> 00:04:23,800 Speaker 1: look at the end of the street and we're like, oh, 77 00:04:23,800 --> 00:04:25,240 Speaker 1: there's a place where I can buy a newspaper. You 78 00:04:25,240 --> 00:04:26,840 Speaker 1: can go get that newspaper, and then you can look 79 00:04:26,880 --> 00:04:28,240 Speaker 1: down the other street and you're like, oh, there's a 80 00:04:28,240 --> 00:04:31,480 Speaker 1: place that's selling mangoes. Go buy a mango, and then 81 00:04:31,520 --> 00:04:35,200 Speaker 1: you'll be able to get back to your hotel, either 82 00:04:35,240 --> 00:04:38,839 Speaker 1: by backtracking or by taking um a different course, like 83 00:04:38,880 --> 00:04:41,479 Speaker 1: you'll you'll have in your head this map of the 84 00:04:41,520 --> 00:04:43,520 Speaker 1: places you've been and where you are in reference to 85 00:04:43,560 --> 00:04:46,120 Speaker 1: the place you came from. Yeah. Ken Jennings and his 86 00:04:46,200 --> 00:04:48,960 Speaker 1: book Map Head talks about this. He talks about being 87 00:04:49,000 --> 00:04:51,560 Speaker 1: in d C and going to all these different museums 88 00:04:51,560 --> 00:04:54,960 Speaker 1: there and then going back to the Metro the train system, 89 00:04:55,040 --> 00:04:58,159 Speaker 1: and saying, you know, they didn't retrace their steps through 90 00:04:58,200 --> 00:05:01,520 Speaker 1: these five different museums, basically looked at where the sun 91 00:05:01,720 --> 00:05:05,200 Speaker 1: was and where the train was and said, okay, we 92 00:05:05,279 --> 00:05:07,520 Speaker 1: think we can make our way back there. And of 93 00:05:07,560 --> 00:05:10,600 Speaker 1: course animals do a similar thing, but much in a 94 00:05:11,000 --> 00:05:14,800 Speaker 1: much better way than we do, or a more direct way. 95 00:05:14,839 --> 00:05:17,120 Speaker 1: In fact, you can look at an ant and see 96 00:05:17,160 --> 00:05:20,080 Speaker 1: it roaming around for two hundred meters just kind of 97 00:05:20,320 --> 00:05:24,719 Speaker 1: randomly meandering foraging for food, and then once it finds food, 98 00:05:24,920 --> 00:05:28,520 Speaker 1: it takes an absolute direct path back to the beginning 99 00:05:29,200 --> 00:05:33,000 Speaker 1: of where it was. Um. Such is their homing device 100 00:05:33,080 --> 00:05:35,400 Speaker 1: in their in their heads. You brought up landmarks, and 101 00:05:35,440 --> 00:05:40,040 Speaker 1: that's another core thing that both humans and their fellow 102 00:05:40,040 --> 00:05:42,680 Speaker 1: animals you used to navigate. In fact, we've had studies 103 00:05:42,720 --> 00:05:45,520 Speaker 1: which have shown that that fish even can use landmarks 104 00:05:45,560 --> 00:05:48,280 Speaker 1: to to navigate the world around them and to reorient 105 00:05:48,360 --> 00:05:50,919 Speaker 1: themselves when they've been taken out of one environment a 106 00:05:50,920 --> 00:05:52,960 Speaker 1: bit a large environment and putting a smaller one, or 107 00:05:53,080 --> 00:05:57,440 Speaker 1: vice versa. And we've seen um each species like jay's 108 00:05:57,480 --> 00:06:00,520 Speaker 1: and nutcrackers, their foragers who tuck away their food in 109 00:06:00,720 --> 00:06:05,479 Speaker 1: thousands of different places, relying heavily on landmarks. Another good 110 00:06:05,480 --> 00:06:10,760 Speaker 1: example are whales in the Pacific who are traveling toward 111 00:06:11,040 --> 00:06:13,719 Speaker 1: North America on the west coast. I mean they the 112 00:06:13,800 --> 00:06:17,600 Speaker 1: whole continent of North America is essentially a landmark, and 113 00:06:17,800 --> 00:06:21,240 Speaker 1: that establishes where they're going to take their turn. And 114 00:06:21,279 --> 00:06:23,440 Speaker 1: then of course there's the position of the sun, which 115 00:06:23,440 --> 00:06:27,679 Speaker 1: plays into our circadian rhythms. Are this this understanding on 116 00:06:27,720 --> 00:06:31,120 Speaker 1: a biological level about what the what the cycle of 117 00:06:31,120 --> 00:06:33,520 Speaker 1: the solar cycle it's doing, what the lunar cycle is doing, 118 00:06:33,800 --> 00:06:35,680 Speaker 1: and so we're able to determine where we are in 119 00:06:35,720 --> 00:06:38,720 Speaker 1: relation to the regular setting and rising of the sun. Yeah. 120 00:06:38,800 --> 00:06:41,400 Speaker 1: And so of course animals and some birds can even 121 00:06:41,440 --> 00:06:44,120 Speaker 1: travel at night using the sun, and the theory is 122 00:06:44,160 --> 00:06:47,520 Speaker 1: that they take the reading from where the sun sets 123 00:06:47,560 --> 00:06:50,159 Speaker 1: and then uses that to set their course. And then 124 00:06:50,200 --> 00:06:53,400 Speaker 1: others think that the polarization of light coming from the 125 00:06:53,400 --> 00:06:55,840 Speaker 1: sun place role as well. Of course, this is all 126 00:06:55,880 --> 00:06:58,720 Speaker 1: stuff that we have in common with animals. There's a 127 00:06:58,760 --> 00:07:01,359 Speaker 1: bunch of other things that animals used that that we 128 00:07:01,440 --> 00:07:05,799 Speaker 1: just don't have access to, things like scent um, even 129 00:07:05,920 --> 00:07:09,040 Speaker 1: the like a bees waggle. Yes, yeah, we're not. We're 130 00:07:09,040 --> 00:07:12,200 Speaker 1: not so good at using the waggle to navigate. I've tried, 131 00:07:12,520 --> 00:07:15,080 Speaker 1: but nobody knows what I'm talking about. Of course, one 132 00:07:15,080 --> 00:07:17,320 Speaker 1: of the big differences in the ways that the humans 133 00:07:17,400 --> 00:07:20,800 Speaker 1: navigate the world and animals navigate the world our our ability, 134 00:07:20,880 --> 00:07:24,520 Speaker 1: or in our case, our inability to detect the Earth's 135 00:07:24,560 --> 00:07:29,240 Speaker 1: magnetic field and navigate the world by it. Um. We 136 00:07:29,360 --> 00:07:31,600 Speaker 1: discussed in the past when we're talking about bats, we 137 00:07:31,640 --> 00:07:36,640 Speaker 1: talked about magnetite, which is this uh magnetic substance in 138 00:07:36,840 --> 00:07:41,800 Speaker 1: the bat that allows it to detect there's magnetic field. 139 00:07:41,880 --> 00:07:43,800 Speaker 1: Humans have it in their bodies as well, but we're 140 00:07:43,840 --> 00:07:46,640 Speaker 1: not really able to do anything with it. Um. Other 141 00:07:46,680 --> 00:07:49,600 Speaker 1: animals can do really amazing things with it, such as 142 00:07:49,640 --> 00:07:53,320 Speaker 1: the loggerhead turtle. Yeah, these are pretty famous because they 143 00:07:53,360 --> 00:07:55,680 Speaker 1: hatch and then they make a ten year, eight thousand 144 00:07:55,760 --> 00:07:59,960 Speaker 1: miles circuit. Of the North Atlantic returning back to Florida, 145 00:08:00,080 --> 00:08:03,360 Speaker 1: um where they hatched from. And they are very sensitive 146 00:08:03,400 --> 00:08:06,040 Speaker 1: to the magnetic fields that the Earth has. Yeah, I 147 00:08:06,080 --> 00:08:10,320 Speaker 1: think ever like nine thousand miles thousand kilometers before they return, 148 00:08:10,640 --> 00:08:13,720 Speaker 1: and it's a it's believed that they create this mental 149 00:08:13,840 --> 00:08:19,000 Speaker 1: magnetic map in their their heads based on the angle 150 00:08:19,040 --> 00:08:22,040 Speaker 1: of magnetic field and intensity in the areas that they 151 00:08:22,080 --> 00:08:24,520 Speaker 1: travel through. Yeah. In fact, there have been some experiments. 152 00:08:24,560 --> 00:08:27,080 Speaker 1: The University of North Carolina at Chapel Hill had some 153 00:08:27,160 --> 00:08:31,000 Speaker 1: researchers who actually through the turtles off course, but then 154 00:08:31,080 --> 00:08:33,160 Speaker 1: the turtles were able to find their way back with 155 00:08:33,320 --> 00:08:35,440 Speaker 1: very little difficulty. And they think, again, this is the 156 00:08:35,480 --> 00:08:39,760 Speaker 1: magnetic fields, the lines that they're following, and then um 157 00:08:39,960 --> 00:08:44,040 Speaker 1: believing that some magnetic orienting was going on, the next 158 00:08:44,080 --> 00:08:47,400 Speaker 1: experiment subjected the turtles to a variety of magnetic fields 159 00:08:47,440 --> 00:08:51,160 Speaker 1: that differed from the Earth's natural field, and of course 160 00:08:51,200 --> 00:08:55,120 Speaker 1: the turtles went off course again and exposure to a 161 00:08:55,160 --> 00:08:58,120 Speaker 1: magnet that mimic the Earth's field set them right again. 162 00:08:58,320 --> 00:09:00,280 Speaker 1: So this is proof that the turtles can the tech 163 00:09:00,360 --> 00:09:02,439 Speaker 1: that earth magnetic field and then use it to navigate, 164 00:09:02,440 --> 00:09:04,240 Speaker 1: which I think is fashionating it because to me, this 165 00:09:04,320 --> 00:09:07,200 Speaker 1: is like a superpower that which do not possess. Now 166 00:09:07,240 --> 00:09:10,360 Speaker 1: that magnetite I mentioned, the crystals of magnetite have been 167 00:09:10,360 --> 00:09:14,280 Speaker 1: found in various creatures. It's even been found in some bacteria. 168 00:09:14,480 --> 00:09:17,520 Speaker 1: You'll find in the brains of bees and termites, fish, 169 00:09:17,640 --> 00:09:20,600 Speaker 1: um again, humans, though it's not only doing anything there, 170 00:09:20,840 --> 00:09:23,920 Speaker 1: and in birds, most notably in the beaks of pigeons. 171 00:09:24,120 --> 00:09:26,800 Speaker 1: Humming pigeons. Yeah, humming pigeons, of course we know are 172 00:09:26,840 --> 00:09:29,880 Speaker 1: are wonderful at navigating and have been used by humans 173 00:09:29,920 --> 00:09:32,680 Speaker 1: quite a bit for that purpose. But the studies do 174 00:09:32,800 --> 00:09:35,960 Speaker 1: suggest that the bird's sense the magnetic field independent of 175 00:09:36,000 --> 00:09:40,480 Speaker 1: their motion and posture, and that they can identify their 176 00:09:40,520 --> 00:09:44,760 Speaker 1: geographical position. Now, the reason why researchers are really interested 177 00:09:45,080 --> 00:09:48,440 Speaker 1: as well this this pigeon type receptor system is that 178 00:09:48,600 --> 00:09:52,240 Speaker 1: nanotechnologists are really interested in learning more for accurate drug 179 00:09:52,320 --> 00:09:56,560 Speaker 1: delivery systems based on this receptor system. And I also 180 00:09:56,640 --> 00:09:59,280 Speaker 1: wanted to point out that they think that this this 181 00:09:59,400 --> 00:10:03,319 Speaker 1: magnetite could be a universal feature of all birds, which 182 00:10:03,440 --> 00:10:06,560 Speaker 1: would help solve this mystery of why they can navigate 183 00:10:06,640 --> 00:10:09,360 Speaker 1: so well. Because we know, of course, the magnetite helps 184 00:10:09,360 --> 00:10:13,560 Speaker 1: the magnetic fields, the sun's position. But there are also 185 00:10:13,640 --> 00:10:16,520 Speaker 1: other things going on, like scent. Yes, And before we 186 00:10:16,520 --> 00:10:18,640 Speaker 1: get into scent, let's take a quick break, and when 187 00:10:18,679 --> 00:10:21,200 Speaker 1: we come back, we will talk about navigating the world 188 00:10:21,240 --> 00:10:29,160 Speaker 1: around you with maps made out of smell. All right, 189 00:10:29,200 --> 00:10:34,400 Speaker 1: we're back maps, smell maps. Yes, so you know, to 190 00:10:34,440 --> 00:10:37,760 Speaker 1: a certain city. We've talked before about as humans, where 191 00:10:38,520 --> 00:10:41,559 Speaker 1: we're just walking through the streets of our lives, walking 192 00:10:41,559 --> 00:10:44,720 Speaker 1: through our daily environments. Even if we're not actively thinking 193 00:10:44,760 --> 00:10:47,000 Speaker 1: about the map around us, our our mind is forming 194 00:10:47,000 --> 00:10:49,680 Speaker 1: a map based on the information that's coming in and 195 00:10:49,679 --> 00:10:53,280 Speaker 1: the things we're experiencing. So to a certain extent, we 196 00:10:53,320 --> 00:10:56,280 Speaker 1: may form a smell map. We may know what parts 197 00:10:56,280 --> 00:10:59,440 Speaker 1: of the office are smelly, which parts smell like a 198 00:10:59,559 --> 00:11:03,160 Speaker 1: strong air freshener, which parts they smell like doughnuts, depending 199 00:11:03,200 --> 00:11:06,439 Speaker 1: on the time of the day. So to a certain extent, 200 00:11:06,480 --> 00:11:08,280 Speaker 1: we have a very limited smell bat But it's nothing 201 00:11:08,320 --> 00:11:10,960 Speaker 1: like the smell maps that some of the animals out 202 00:11:10,960 --> 00:11:13,599 Speaker 1: there used to navigate the world. Ye I was just 203 00:11:13,640 --> 00:11:16,200 Speaker 1: thinking about when I lived in midtown Atlanta and on 204 00:11:16,360 --> 00:11:18,840 Speaker 1: a Sunday morning, I would take a walk around and 205 00:11:18,840 --> 00:11:21,199 Speaker 1: I always wanted to do a scratch and sniff map, 206 00:11:21,280 --> 00:11:25,360 Speaker 1: because there's you know, an area that has a lot 207 00:11:25,360 --> 00:11:27,480 Speaker 1: of bars in it, and you know, there were very 208 00:11:27,520 --> 00:11:31,160 Speaker 1: distinct areas that Yeah, there's always mixed alcohol and the 209 00:11:31,160 --> 00:11:35,320 Speaker 1: gutter stink, yeah, and the bleach trying to clean the 210 00:11:35,320 --> 00:11:43,000 Speaker 1: sidewalks New Orleans e yes, pop, Yeah, but yeah, that 211 00:11:43,160 --> 00:11:46,679 Speaker 1: doesn't that kind of pales in comparison to an animal's 212 00:11:46,720 --> 00:11:51,240 Speaker 1: ability to smell an entire habitat it's flying over. Now. Obviously, 213 00:11:51,280 --> 00:11:53,640 Speaker 1: we have animals such as ants that famously use sent 214 00:11:53,720 --> 00:11:56,400 Speaker 1: trails to navigate. They you know, you see them marching 215 00:11:56,400 --> 00:11:59,200 Speaker 1: in their lines leaf cutter ants, for instance, and they're 216 00:11:59,360 --> 00:12:01,240 Speaker 1: marching from one place of the other. They're just following 217 00:12:01,280 --> 00:12:03,040 Speaker 1: the cent trail left by the guy in front of you. 218 00:12:03,280 --> 00:12:06,360 Speaker 1: And you can manipulate that cent trail to spell out 219 00:12:06,520 --> 00:12:10,120 Speaker 1: your name, to to lead them off course, to to 220 00:12:10,120 --> 00:12:12,760 Speaker 1: to do all sorts of um, I guess, kind of 221 00:12:12,760 --> 00:12:16,040 Speaker 1: mean things to the poor leafcutter ants who are just 222 00:12:16,040 --> 00:12:19,520 Speaker 1: trying to get stuff done and and conduct their agricultural 223 00:12:20,440 --> 00:12:24,160 Speaker 1: experiment underground. Oh you're just delaying them, yeah, because they're 224 00:12:24,200 --> 00:12:26,160 Speaker 1: they're they're going to get the stuff. They're they're determined. 225 00:12:26,559 --> 00:12:29,400 Speaker 1: But but yeah, So, so there's that model simply following 226 00:12:29,400 --> 00:12:32,160 Speaker 1: cent trails. But but then there's some slightly more complex 227 00:12:32,240 --> 00:12:34,120 Speaker 1: methods as well. Yeah, because what do you do if 228 00:12:34,160 --> 00:12:37,560 Speaker 1: you're an ant in the Sahara, for instance, because it's 229 00:12:37,559 --> 00:12:39,679 Speaker 1: so windy and sandy, you're not gonna be able to 230 00:12:39,720 --> 00:12:43,000 Speaker 1: pick up a scent, right. Um. So there's a Swiss 231 00:12:43,120 --> 00:12:47,040 Speaker 1: zoologist by the name of Rudiger Juaner, and he altered 232 00:12:47,200 --> 00:12:51,920 Speaker 1: ants paces by putting them on tiny stilts. Ants on 233 00:12:52,000 --> 00:12:55,640 Speaker 1: stilts made of individual pig bristles. And he did this 234 00:12:55,720 --> 00:12:57,520 Speaker 1: for a reason, not not just to start a little 235 00:12:57,559 --> 00:13:01,520 Speaker 1: ant circus um. He wanted to know how their pace 236 00:13:01,760 --> 00:13:05,000 Speaker 1: informed their ability to navigate. So what he found is 237 00:13:05,000 --> 00:13:07,160 Speaker 1: that when he put the ants on stilts, it really 238 00:13:07,200 --> 00:13:11,880 Speaker 1: altered their pace, and they overshot their destinations by a 239 00:13:11,960 --> 00:13:15,840 Speaker 1: pretty big margin, which then pointed to him that that 240 00:13:16,600 --> 00:13:20,079 Speaker 1: ants are actually doing a sort of mental math math 241 00:13:20,120 --> 00:13:24,599 Speaker 1: calculation with their steps. It was pretty fascinating. And that 242 00:13:24,720 --> 00:13:28,840 Speaker 1: we had mentioned the waggle another way that other animals 243 00:13:28,920 --> 00:13:32,600 Speaker 1: communicate directions, right, These are the bees that communicate by 244 00:13:32,720 --> 00:13:35,680 Speaker 1: by shaking their their hinders and doing a little dance. 245 00:13:35,760 --> 00:13:38,120 Speaker 1: The dance of the bees, which is more than just 246 00:13:38,240 --> 00:13:43,720 Speaker 1: a celebration of their of their their honey base life, 247 00:13:43,800 --> 00:13:47,599 Speaker 1: but but actually a communicative gesture. Yeah, they share geographic 248 00:13:47,600 --> 00:13:50,360 Speaker 1: information like the direction of the food sources relative to 249 00:13:50,360 --> 00:13:53,120 Speaker 1: the sun, the distance, and then the quality of that 250 00:13:53,160 --> 00:13:57,440 Speaker 1: food source, which I thought was really interesting. There was 251 00:13:57,480 --> 00:13:59,400 Speaker 1: I think there was an old there was an old 252 00:13:59,440 --> 00:14:02,439 Speaker 1: Donald Duck cartoon where he dressed up like a b 253 00:14:03,559 --> 00:14:07,080 Speaker 1: to uh, to steal their honey. And I can't recall 254 00:14:07,120 --> 00:14:10,080 Speaker 1: if he actually did some waggling. He did some waggling, 255 00:14:10,120 --> 00:14:13,240 Speaker 1: for sure, because hey, he's Donald and he's got this 256 00:14:13,280 --> 00:14:17,480 Speaker 1: big fake stinger on his his hinder there. But but 257 00:14:17,600 --> 00:14:19,640 Speaker 1: I want to say that he did a little waggling 258 00:14:20,320 --> 00:14:22,960 Speaker 1: in as a b communicative measure as well. Well, and 259 00:14:22,960 --> 00:14:25,720 Speaker 1: I do kind of remember, but the donc donc waggle 260 00:14:25,760 --> 00:14:28,720 Speaker 1: that he has anyway, so sort of a natural thing. 261 00:14:28,880 --> 00:14:32,480 Speaker 1: It's funny how in kids stories there's so many plots 262 00:14:32,560 --> 00:14:36,360 Speaker 1: involving another creature trying to pretend like it is honey 263 00:14:36,400 --> 00:14:40,000 Speaker 1: bee or some other thing trying to steal honey. It's 264 00:14:40,040 --> 00:14:41,880 Speaker 1: a big deal. Yeah, I mean it's a it's a 265 00:14:41,960 --> 00:14:44,280 Speaker 1: it's one of the classic stories, right, The bear trying 266 00:14:44,320 --> 00:14:46,840 Speaker 1: to steal the bee's honey. I mean it's a cautionary 267 00:14:46,840 --> 00:14:49,800 Speaker 1: tale too, right, because there's something that the bee has, 268 00:14:51,000 --> 00:14:53,200 Speaker 1: the human or the bear or the duck wants it, 269 00:14:53,560 --> 00:14:55,800 Speaker 1: and it's gonna risk getting stung if it tries to 270 00:14:55,840 --> 00:14:59,400 Speaker 1: steal it. So that's right, Which is the whole point 271 00:14:59,400 --> 00:15:02,520 Speaker 1: of children's books anyway, right, their instructive Um, All right, 272 00:15:02,680 --> 00:15:05,480 Speaker 1: let's take everybody out here with a couple of other 273 00:15:05,560 --> 00:15:10,440 Speaker 1: amazing examples of how animals navigate. First of all, there 274 00:15:10,480 --> 00:15:13,720 Speaker 1: is this creature called the frill fin gobie, which is 275 00:15:13,880 --> 00:15:16,080 Speaker 1: a little fish. It sounds like it could be a 276 00:15:16,080 --> 00:15:18,920 Speaker 1: Middle Earth inhabitant theath yeah, or it does sound like 277 00:15:18,960 --> 00:15:23,000 Speaker 1: a hobbits name, or maybe a dwarf. But but what's 278 00:15:23,080 --> 00:15:26,280 Speaker 1: what's amazing about this little crater Well, it's a small 279 00:15:26,280 --> 00:15:28,520 Speaker 1: tropical fish and it's found in rocky pools along the 280 00:15:28,520 --> 00:15:31,440 Speaker 1: Atlantic shore, and all that is you know, pretty like, okay, 281 00:15:31,480 --> 00:15:35,080 Speaker 1: pretty wrote information. Um, But this is the really cool 282 00:15:35,120 --> 00:15:37,520 Speaker 1: thing about this fish. If a tidal pool that it's 283 00:15:37,560 --> 00:15:41,160 Speaker 1: in becomes really low or predator shows up, the fish 284 00:15:41,200 --> 00:15:45,040 Speaker 1: can eject itself straight up into the water and into 285 00:15:45,160 --> 00:15:49,480 Speaker 1: another tidal pool with great accuracy, and it can do 286 00:15:49,520 --> 00:15:52,480 Speaker 1: this six successive times until it can find a tidal 287 00:15:52,520 --> 00:15:55,760 Speaker 1: pool that doesn't have a predator in it or seems safe. 288 00:15:56,200 --> 00:15:59,920 Speaker 1: And what scientists think is that because these fish have 289 00:16:00,040 --> 00:16:02,760 Speaker 1: had an opportunity during high tide to explore that they 290 00:16:02,760 --> 00:16:05,160 Speaker 1: have been able to make a mental map of all 291 00:16:05,200 --> 00:16:08,320 Speaker 1: these different title pools that they can work with in 292 00:16:08,320 --> 00:16:11,360 Speaker 1: these situations, because jumping from one title pool to the next, 293 00:16:11,360 --> 00:16:13,680 Speaker 1: I mean, that's that's a dangerous proposition if you don't 294 00:16:13,720 --> 00:16:15,800 Speaker 1: have a clear idea that there is going to be 295 00:16:15,800 --> 00:16:17,720 Speaker 1: a title pool there and then have some idea of 296 00:16:17,760 --> 00:16:20,160 Speaker 1: what's gonna be in it, right, yeah, exactly right. What's 297 00:16:20,240 --> 00:16:24,160 Speaker 1: the term out of the frying pan into the fire? Yeah, yeah, um. 298 00:16:24,200 --> 00:16:27,040 Speaker 1: And then there's the Manx shearwaters. This is a kind 299 00:16:27,040 --> 00:16:30,080 Speaker 1: of bird. Yeah, These guys are pretty amazing. They regularly 300 00:16:30,160 --> 00:16:34,120 Speaker 1: migrate well over ten thousand kilometers to South America in 301 00:16:34,120 --> 00:16:37,040 Speaker 1: the winter, uh, where they use the waters off southern 302 00:16:37,040 --> 00:16:40,520 Speaker 1: Brazil and Argentina. So you'll have some of these older 303 00:16:40,560 --> 00:16:43,800 Speaker 1: birds that have clocked some phot somewhere the neighborhood of 304 00:16:43,960 --> 00:16:47,440 Speaker 1: eight million kilometers five million miles during the course of 305 00:16:47,480 --> 00:16:52,840 Speaker 1: its lifetime, like you anytime I think about that. Um 306 00:16:52,960 --> 00:16:55,400 Speaker 1: in terms of any bird migration, you know, you think 307 00:16:55,440 --> 00:16:58,760 Speaker 1: they're they're they're humans that spend large portions of their 308 00:16:58,800 --> 00:17:01,200 Speaker 1: time never leaving a particularly area, and in many cases 309 00:17:01,280 --> 00:17:04,719 Speaker 1: lived their entire lives within a very um fixed space. 310 00:17:05,280 --> 00:17:06,880 Speaker 1: And then you have these birds that are just true 311 00:17:06,920 --> 00:17:10,919 Speaker 1: globe quatters. Globe quatters, they are true globetrotters, you know. 312 00:17:11,560 --> 00:17:13,879 Speaker 1: Uh yeah, And actually I'm gonna tell you this story 313 00:17:13,920 --> 00:17:16,520 Speaker 1: about a shearwater. Now when I tell you the story, 314 00:17:16,560 --> 00:17:20,239 Speaker 1: you try to imagine yourself as this shearwater. Okay um. 315 00:17:20,320 --> 00:17:23,760 Speaker 1: In nineteen fifty three, British ornithologists RM Lockley asked his 316 00:17:23,880 --> 00:17:28,040 Speaker 1: friend in London to take two Manx shearwaters on a 317 00:17:28,080 --> 00:17:32,240 Speaker 1: plane from London to Boston with him a commercial it's 318 00:17:32,280 --> 00:17:35,119 Speaker 1: a commercial flight, it was I think you pretty much 319 00:17:35,160 --> 00:17:39,679 Speaker 1: do anything. Um. It's only one of the shearwaters survived. Uh. 320 00:17:39,720 --> 00:17:44,160 Speaker 1: And when they got to the Boston Boston Slogan Airport, 321 00:17:44,240 --> 00:17:47,919 Speaker 1: his friend set the bird free, which is what the 322 00:17:48,000 --> 00:17:51,000 Speaker 1: ornithologists wanted him to do. So the friend wrote to 323 00:17:51,080 --> 00:17:53,280 Speaker 1: Lockley to tell him what he had done, and then 324 00:17:53,359 --> 00:17:58,240 Speaker 1: twelve days later and thirty miles later, the Shearwater returned 325 00:17:58,359 --> 00:18:01,680 Speaker 1: to London ahead of the letter. So this is amazing 326 00:18:01,720 --> 00:18:05,200 Speaker 1: to me because can you imagine someone stuffing you on 327 00:18:05,240 --> 00:18:08,080 Speaker 1: a plane and not having any context of where you are, 328 00:18:08,560 --> 00:18:12,240 Speaker 1: being taken to another location again without any sort of 329 00:18:12,320 --> 00:18:16,080 Speaker 1: data about where the sun is, any sort of landmarks sent, 330 00:18:16,560 --> 00:18:18,760 Speaker 1: and then being able to find your way home. Yeah. 331 00:18:18,800 --> 00:18:20,199 Speaker 1: I would just like the first thing I would have 332 00:18:20,240 --> 00:18:21,879 Speaker 1: to do is just climb a tree so that the 333 00:18:21,920 --> 00:18:24,639 Speaker 1: wolves wouldn't eat me, you know, just like climb up 334 00:18:24,640 --> 00:18:27,000 Speaker 1: there and maybe they'll find my body and only that 335 00:18:27,320 --> 00:18:30,280 Speaker 1: my eyes will be done. So that's your strategy to 336 00:18:30,280 --> 00:18:32,359 Speaker 1: climb a tree. Pretty much. My sense of direction is 337 00:18:32,400 --> 00:18:35,199 Speaker 1: not that good, so you know, you can actually increase that. 338 00:18:35,240 --> 00:18:37,160 Speaker 1: There have been studies that say that the people can 339 00:18:37,160 --> 00:18:39,440 Speaker 1: increase their their sense of direction and their ability to 340 00:18:39,440 --> 00:18:43,440 Speaker 1: to navigate better. It's just practice practice. Yeah, okay, well 341 00:18:43,440 --> 00:18:46,760 Speaker 1: there's hope for me. Maybe maybe I won't just climb 342 00:18:46,760 --> 00:18:48,440 Speaker 1: the tree and die. Maybe I'll look around. No, no 343 00:18:48,720 --> 00:18:51,560 Speaker 1: Map boot camp for you. I think Map boot camp. 344 00:18:52,280 --> 00:18:54,919 Speaker 1: I'm trying to imagine people showing up from Matt boot Camp, 345 00:18:55,000 --> 00:18:58,040 Speaker 1: Like the instructions will have to be pretty like they 346 00:18:58,080 --> 00:18:59,720 Speaker 1: basically need to send a bus to your house to 347 00:18:59,720 --> 00:19:03,520 Speaker 1: get you because because otherwise it's just no one's gonna 348 00:19:03,520 --> 00:19:05,399 Speaker 1: show up. It's gonna be like three guys showing up 349 00:19:05,480 --> 00:19:08,160 Speaker 1: for five minutes late, and they're like, where my goodness, 350 00:19:08,200 --> 00:19:11,560 Speaker 1: I had the GPS and everything, and and now I'm 351 00:19:11,720 --> 00:19:14,280 Speaker 1: I barely survived. I think this would make a great 352 00:19:14,280 --> 00:19:19,200 Speaker 1: reality show. All right, Well, there's just some quick insight 353 00:19:19,280 --> 00:19:22,920 Speaker 1: into the animal world of maps. How animals navigate the 354 00:19:22,960 --> 00:19:25,159 Speaker 1: world informed these Uh then it may it be a 355 00:19:25,160 --> 00:19:28,560 Speaker 1: physical map, but they're certainly forming these elaborate mental maps 356 00:19:28,600 --> 00:19:30,760 Speaker 1: of the world around them. So hopefully in these three 357 00:19:30,760 --> 00:19:34,040 Speaker 1: podcasts that we've we've done to to cover maps, you 358 00:19:34,040 --> 00:19:37,080 Speaker 1: you have a different view of what a map means. Well, 359 00:19:37,200 --> 00:19:38,919 Speaker 1: not only what it means on paper, but what it 360 00:19:38,960 --> 00:19:42,400 Speaker 1: means in the mind of the the human or animal 361 00:19:42,480 --> 00:19:46,520 Speaker 1: that conceived it. Indeed, in how much animals and humans 362 00:19:46,600 --> 00:19:49,919 Speaker 1: are alike in many ways in navigating this world. All right, 363 00:19:49,960 --> 00:19:51,399 Speaker 1: if you have something you would like to share with 364 00:19:51,520 --> 00:19:55,280 Speaker 1: us about maps, your experience with maps, your experience with animals. 365 00:19:55,560 --> 00:19:58,240 Speaker 1: I know some of you guys out there are dog 366 00:19:58,320 --> 00:20:01,240 Speaker 1: or cat owners, and you may have some miraculous stories 367 00:20:01,280 --> 00:20:03,440 Speaker 1: about dogs or cats that have disappeared for a little 368 00:20:03,440 --> 00:20:05,520 Speaker 1: bit and come back, or or have made of a 369 00:20:05,560 --> 00:20:08,639 Speaker 1: long journey from and from their current home to a 370 00:20:08,680 --> 00:20:11,520 Speaker 1: previous home, that sort of thing. Everyone loves those stories, 371 00:20:12,160 --> 00:20:13,800 Speaker 1: so let us know about them. We'd be happy to 372 00:20:13,800 --> 00:20:15,880 Speaker 1: read if you want to air. You can find us 373 00:20:15,920 --> 00:20:18,840 Speaker 1: on Facebook and you can find us on tumbler. We 374 00:20:18,920 --> 00:20:21,200 Speaker 1: are stuff to blow your mind on both of those feeds, 375 00:20:21,240 --> 00:20:23,480 Speaker 1: and you can also find us on Twitter, where our 376 00:20:23,520 --> 00:20:26,480 Speaker 1: handle is blow the Mind. And you can always drop 377 00:20:26,520 --> 00:20:35,480 Speaker 1: us a line at blow the Mind at discovery dot com. 378 00:20:35,520 --> 00:20:37,960 Speaker 1: For more on this and thousands of other topics, Is 379 00:20:38,000 --> 00:20:43,879 Speaker 1: it how Stuff Works dot com