1 00:00:00,360 --> 00:00:04,480 Speaker 1: Hey guys. Before I start a quick programming note, you'll 2 00:00:04,519 --> 00:00:07,680 Speaker 1: probably notice my audio quality is not as good as 3 00:00:07,720 --> 00:00:11,840 Speaker 1: it normally is. That is not because I decided to 4 00:00:11,960 --> 00:00:15,840 Speaker 1: record inside of a tin can. I don't exactly know 5 00:00:15,960 --> 00:00:19,200 Speaker 1: what happened. Some sort of computer grimlin I think switched 6 00:00:19,760 --> 00:00:23,840 Speaker 1: my audio inputs. So sorry about that, but I hope 7 00:00:23,880 --> 00:00:33,840 Speaker 1: you enjoy. Welcome to Creature, future production of iHeartRadio. I'm 8 00:00:33,880 --> 00:00:37,680 Speaker 1: your host of Many Parasites, Katie Golden. I studied psychology 9 00:00:37,720 --> 00:00:40,919 Speaker 1: and evolutionary biology, and today on the show How to 10 00:00:40,960 --> 00:00:44,960 Speaker 1: Speak to Aliens, we talk about the way that biological 11 00:00:45,320 --> 00:00:51,560 Speaker 1: senses differ so vastly between humans, animals, and possibly aliens. 12 00:00:51,960 --> 00:00:54,520 Speaker 1: We use real life biology to talk about how an 13 00:00:54,600 --> 00:00:59,080 Speaker 1: alien encounter might actually go down and the infinitesimally small 14 00:00:59,160 --> 00:01:02,640 Speaker 1: chance that we ever I've been to intelligent life. Joining 15 00:01:02,680 --> 00:01:05,240 Speaker 1: me today is Prout of the show, particle physicist, host 16 00:01:05,280 --> 00:01:08,959 Speaker 1: of the podcast Daniel and Kelly's Extraordinary Universe, and author 17 00:01:09,000 --> 00:01:13,679 Speaker 1: of the new book Do Aliens Speak Physics? Daniel Whitson, Welcome, 18 00:01:14,200 --> 00:01:15,520 Speaker 1: Thank you very much. 19 00:01:16,319 --> 00:01:18,440 Speaker 2: I am a particle physicist and I believe in science, 20 00:01:18,440 --> 00:01:21,600 Speaker 2: but I also irrationally believe we have more than an 21 00:01:21,600 --> 00:01:24,839 Speaker 2: infinitesimal chance to be visited by aliens? 22 00:01:25,319 --> 00:01:29,479 Speaker 1: How big of the chance out of out of like 23 00:01:29,840 --> 00:01:31,000 Speaker 1: one in five. 24 00:01:30,840 --> 00:01:34,920 Speaker 2: One in ten, I would say seventeen infinitesimals, not just 25 00:01:34,959 --> 00:01:35,959 Speaker 2: one infinitesimals. 26 00:01:36,040 --> 00:01:40,800 Speaker 1: Okay, all right, yeah, I mean that's a pretty decent chance. 27 00:01:40,920 --> 00:01:43,520 Speaker 1: I think. Yeah. I mean so in your new book, 28 00:01:43,560 --> 00:01:46,720 Speaker 1: you kind of talk about how you explore a lot 29 00:01:46,720 --> 00:01:51,320 Speaker 1: of philosophical questions about aliens, and then you involved both 30 00:01:51,440 --> 00:01:56,920 Speaker 1: like physics and also biology to talk about this how 31 00:01:57,680 --> 00:02:03,080 Speaker 1: it would be to try to essentially communicate with aliens essentially, 32 00:02:03,160 --> 00:02:06,720 Speaker 1: like you know, the whole thing and what was that 33 00:02:06,760 --> 00:02:10,160 Speaker 1: a rival when it turned out the aliens communicate with 34 00:02:10,240 --> 00:02:14,760 Speaker 1: coffee stains or something. But I find it a really 35 00:02:14,840 --> 00:02:18,359 Speaker 1: interesting topic because I think it makes us kind of 36 00:02:19,160 --> 00:02:21,519 Speaker 1: we get I think when we start to think about 37 00:02:21,560 --> 00:02:25,799 Speaker 1: like biology and human communication, we're so primed to think 38 00:02:25,840 --> 00:02:29,520 Speaker 1: about it in a very egocentric way because we're humans. 39 00:02:29,560 --> 00:02:32,040 Speaker 1: We have a human brain, we have human thoughts. It's 40 00:02:32,160 --> 00:02:34,359 Speaker 1: very hard to step outside of that. But when we're 41 00:02:34,360 --> 00:02:38,120 Speaker 1: forced to try to think about how it would go 42 00:02:38,240 --> 00:02:43,080 Speaker 1: down if we were actually talking to aliens, we have 43 00:02:43,160 --> 00:02:45,680 Speaker 1: to kind of step outside of that, and consider the 44 00:02:45,720 --> 00:02:49,840 Speaker 1: ways in which our experience is not objective reality but 45 00:02:49,919 --> 00:02:52,200 Speaker 1: filtered through all of our human meat. 46 00:02:53,160 --> 00:02:57,480 Speaker 2: Yeah. Absolutely, And nobody's more egotistical than physicists. Let me 47 00:02:57,560 --> 00:03:01,400 Speaker 2: tell you the personal experience. Because physicists tend to believe 48 00:03:01,520 --> 00:03:04,440 Speaker 2: that physics is sort of special among human sciences, like 49 00:03:04,520 --> 00:03:09,359 Speaker 2: biology that's awesome, but probably only of interest to things 50 00:03:09,400 --> 00:03:12,960 Speaker 2: on the Earth, and biology and alien planets probably vastly different. 51 00:03:13,320 --> 00:03:17,520 Speaker 2: But physics is supposed to be universal. Physics, Newton told us, 52 00:03:17,560 --> 00:03:19,680 Speaker 2: it doesn't just apply to apples. It also applies to 53 00:03:19,720 --> 00:03:23,600 Speaker 2: the heavens, which means it determines what happens on distant galaxies. 54 00:03:24,160 --> 00:03:27,160 Speaker 2: And they then take the next leap. And physicists mostly 55 00:03:27,200 --> 00:03:30,880 Speaker 2: assume that not only do our laws of physics apply 56 00:03:31,200 --> 00:03:34,960 Speaker 2: to denizens of distant galaxies, but those denizens would also 57 00:03:35,040 --> 00:03:37,480 Speaker 2: come up with the same laws, so that when the 58 00:03:37,520 --> 00:03:40,760 Speaker 2: aliens arrive, we can be like at the chalkboard, writing 59 00:03:40,800 --> 00:03:43,800 Speaker 2: e F equals MA within about ten minutes and use 60 00:03:43,840 --> 00:03:46,560 Speaker 2: physics to make a mental connection with the aliens. And 61 00:03:47,160 --> 00:03:50,040 Speaker 2: that would be wonderful if it were true. But I 62 00:03:50,040 --> 00:03:52,760 Speaker 2: feel like it's making the same mistake that physicists and 63 00:03:52,760 --> 00:03:55,520 Speaker 2: cosmologists have been making for centuries, which is putting us 64 00:03:55,760 --> 00:03:59,160 Speaker 2: at the center of the action, assuming that human physics 65 00:03:59,280 --> 00:04:01,800 Speaker 2: is the physics the way we assume that, like the 66 00:04:01,880 --> 00:04:04,200 Speaker 2: Earth is at the center of the universe because it 67 00:04:04,280 --> 00:04:07,200 Speaker 2: kind of looks like it and it's also quite flattering. 68 00:04:07,760 --> 00:04:11,000 Speaker 2: So while I'd love to sit down across the table 69 00:04:11,080 --> 00:04:15,080 Speaker 2: and exchange coffee scenes with aliens to understand quantum gravity, 70 00:04:15,440 --> 00:04:17,920 Speaker 2: I think it might be much more difficult. And so, Yeah, 71 00:04:17,920 --> 00:04:19,920 Speaker 2: in this book, I try to pick apart some of 72 00:04:19,960 --> 00:04:24,160 Speaker 2: the assumptions that underlie the feeling that physics could be 73 00:04:24,279 --> 00:04:26,560 Speaker 2: used to communicate with aliens and we might be part 74 00:04:26,600 --> 00:04:30,440 Speaker 2: of a galactic intellectual community all solving the same problems, 75 00:04:30,720 --> 00:04:34,039 Speaker 2: and wonder if aliens might be much more alien than 76 00:04:34,080 --> 00:04:36,040 Speaker 2: we expect, right. 77 00:04:35,960 --> 00:04:38,559 Speaker 1: And I think part of that is that the way, 78 00:04:39,320 --> 00:04:44,080 Speaker 1: like the way we think is influenced by our biology. 79 00:04:44,160 --> 00:04:47,960 Speaker 1: We can't really escape that. We like to believe that 80 00:04:48,000 --> 00:04:50,560 Speaker 1: we can escape that, right that once we start to 81 00:04:50,640 --> 00:04:54,800 Speaker 1: get to these more and more complex intellectual exercises where 82 00:04:54,800 --> 00:04:58,320 Speaker 1: it's like, but these are like fundamental truths about the universe. Yeah, 83 00:04:58,360 --> 00:05:01,720 Speaker 1: so we don't have the sense being filtered through you 84 00:05:01,720 --> 00:05:06,520 Speaker 1: know our brains, which are a biological organ that is, 85 00:05:07,200 --> 00:05:11,600 Speaker 1: you know, it has its own biases and are also 86 00:05:11,839 --> 00:05:15,680 Speaker 1: just everything that our brains are connected to our sensory 87 00:05:15,760 --> 00:05:19,520 Speaker 1: experience so humans, and we don't even have to really 88 00:05:19,560 --> 00:05:23,440 Speaker 1: look to aliens right to see that. Our specific experience 89 00:05:23,480 --> 00:05:27,359 Speaker 1: of humans is very particular to us. Like so we 90 00:05:27,480 --> 00:05:31,359 Speaker 1: have extremely developed eyes. We see in color, we see 91 00:05:31,839 --> 00:05:34,640 Speaker 1: a lot of detail, so we focus a lot on 92 00:05:34,760 --> 00:05:40,240 Speaker 1: visual cues. Our sense of hearing is good at close range. 93 00:05:40,320 --> 00:05:43,640 Speaker 1: It's not great once you get too far away. But 94 00:05:43,760 --> 00:05:47,480 Speaker 1: our communication style is very like close range in terms 95 00:05:47,520 --> 00:05:49,120 Speaker 1: of like communicating with each. 96 00:05:49,000 --> 00:05:51,360 Speaker 2: Other, unless you're trying to talk to a teenager who 97 00:05:51,400 --> 00:05:54,200 Speaker 2: has AirPods, in which case nothing you say, we'll get're 98 00:05:54,240 --> 00:05:56,920 Speaker 2: going to get through exactly that. They have the parental 99 00:05:56,960 --> 00:05:58,080 Speaker 2: cancelation software. 100 00:05:58,920 --> 00:06:02,240 Speaker 1: Nice, it's like it the it matches the pitch of 101 00:06:02,279 --> 00:06:05,839 Speaker 1: your tone, encounters it exactly, so it cancels out any 102 00:06:06,040 --> 00:06:06,799 Speaker 1: parent voice. 103 00:06:06,920 --> 00:06:09,520 Speaker 2: There's some AI in there that's learned exactly my voice 104 00:06:09,600 --> 00:06:09,960 Speaker 2: that it. 105 00:06:09,920 --> 00:06:12,440 Speaker 1: Can cancel it out exactly. 106 00:06:13,040 --> 00:06:15,360 Speaker 2: Yeah, but you're exactly right, you put your finger on it. 107 00:06:15,560 --> 00:06:18,479 Speaker 2: We look at the universe through a human lens, and 108 00:06:18,560 --> 00:06:22,000 Speaker 2: it's very unlikely that that lens is completely unbiased. You know, 109 00:06:22,000 --> 00:06:24,520 Speaker 2: if you're like looking inside some mystery box and you 110 00:06:24,600 --> 00:06:26,440 Speaker 2: only have a few ways to probe it, what are 111 00:06:26,440 --> 00:06:29,520 Speaker 2: the chances that you see the full information of what's 112 00:06:29,560 --> 00:06:32,600 Speaker 2: going on inside that box. And because we can only 113 00:06:32,760 --> 00:06:35,480 Speaker 2: probe the universe through our one lens, because we haven't 114 00:06:35,480 --> 00:06:37,720 Speaker 2: talked to aliens, and so far we haven't cracked the 115 00:06:37,800 --> 00:06:41,239 Speaker 2: language of dolphins or whales or anybody else, we don't 116 00:06:41,320 --> 00:06:44,120 Speaker 2: know how much of the lens is influenced what we 117 00:06:44,200 --> 00:06:47,919 Speaker 2: see and what we understand. And I think you're absolutely 118 00:06:48,000 --> 00:06:52,640 Speaker 2: right that our perceptions shape our sense of reality. Like 119 00:06:52,680 --> 00:06:55,200 Speaker 2: we have a we have a limited set of senses, 120 00:06:55,200 --> 00:06:57,440 Speaker 2: and we can dig into into them in a minute. 121 00:06:57,480 --> 00:07:01,240 Speaker 2: But we've also extended those senses, right, we have new 122 00:07:01,279 --> 00:07:04,039 Speaker 2: technological senses. We can see in the infrared and the 123 00:07:04,080 --> 00:07:08,440 Speaker 2: ultraviolet and detect gravitational waves due to technology. But that 124 00:07:08,480 --> 00:07:11,320 Speaker 2: doesn't change our experience of the universe, because what we 125 00:07:11,400 --> 00:07:15,200 Speaker 2: tend to do is translate those new signals into the 126 00:07:15,320 --> 00:07:19,360 Speaker 2: old into the old basis. You know, we take infrared 127 00:07:19,400 --> 00:07:20,920 Speaker 2: and we don't look at them in the infrared. We 128 00:07:21,000 --> 00:07:23,080 Speaker 2: translate them to the visuals. So we can see them. 129 00:07:23,400 --> 00:07:26,720 Speaker 2: We convert gravitational waves to sound so we can hear them. 130 00:07:27,200 --> 00:07:29,840 Speaker 2: And I think it's not just the senses that we have, 131 00:07:29,960 --> 00:07:32,320 Speaker 2: but like what it's like to be a human, the 132 00:07:32,400 --> 00:07:35,600 Speaker 2: experience of the sensorium, which is where the philosophy comes in, 133 00:07:36,120 --> 00:07:40,000 Speaker 2: that could be very different from humans to octopy to aliens, 134 00:07:40,320 --> 00:07:42,280 Speaker 2: and it could really change, like how you interpret what 135 00:07:42,360 --> 00:07:44,920 Speaker 2: you're seeing and the framework you build to explain it. 136 00:07:45,680 --> 00:07:48,559 Speaker 1: One of the examples that I really like is that 137 00:07:49,480 --> 00:07:53,040 Speaker 1: when we look at math, right, because math seems very objective, Like, 138 00:07:53,480 --> 00:07:57,560 Speaker 1: how can we be biased about math one plus one two? 139 00:07:57,960 --> 00:07:59,480 Speaker 1: That's just true. 140 00:08:00,240 --> 00:08:03,200 Speaker 2: Towered right in his biology one times one equals too. 141 00:08:04,320 --> 00:08:06,240 Speaker 2: Maybe you could be. 142 00:08:06,200 --> 00:08:08,760 Speaker 1: An alien, but it's like if you look at your hands, 143 00:08:09,120 --> 00:08:13,280 Speaker 1: you have ten fingers, and it's generally understood that we 144 00:08:13,280 --> 00:08:16,760 Speaker 1: we think in base ten because we've got ten fingers, 145 00:08:17,120 --> 00:08:19,920 Speaker 1: and we can we use our fingers for counting because they, 146 00:08:20,320 --> 00:08:23,680 Speaker 1: I mean, they're called digits, and. 147 00:08:23,560 --> 00:08:28,360 Speaker 2: That anybody, anybody's ever had a digital proctal exam knows 148 00:08:28,720 --> 00:08:30,240 Speaker 2: what it's called the digital exam. 149 00:08:32,640 --> 00:08:36,520 Speaker 1: There's different kinds of digital. It turns out exactly really 150 00:08:36,640 --> 00:08:44,800 Speaker 1: high tech exams exactly yeah, exactly, so so we have 151 00:08:45,160 --> 00:08:48,679 Speaker 1: we we our mouth is in base ten, we think 152 00:08:48,720 --> 00:08:52,600 Speaker 1: in base ten. We think like and I don't. It's 153 00:08:52,800 --> 00:08:55,640 Speaker 1: really hard to wrap your head around if we had 154 00:08:55,800 --> 00:09:00,480 Speaker 1: perhaps tentacles, or a different number of fingers, or a 155 00:09:00,559 --> 00:09:04,320 Speaker 1: different way of counting, like instead of counting fingers, we 156 00:09:04,840 --> 00:09:10,320 Speaker 1: had a certain pattern of like speckles on our bodies 157 00:09:10,360 --> 00:09:13,920 Speaker 1: that we can change with chromatophores. Right, if we're an alien, 158 00:09:14,720 --> 00:09:21,079 Speaker 1: that our entire mathematical system might be different, not necessarily, 159 00:09:23,360 --> 00:09:27,760 Speaker 1: you know, contradictory to a base ten mathematical system. But 160 00:09:27,880 --> 00:09:31,600 Speaker 1: if you had, like say base five or base two, 161 00:09:32,880 --> 00:09:35,480 Speaker 1: and you're trying to do sort of like math problems, 162 00:09:35,520 --> 00:09:38,720 Speaker 1: then one plus one does not necessarily equal to anymore, 163 00:09:39,280 --> 00:09:42,440 Speaker 1: even though technically it still does. But the way of 164 00:09:42,600 --> 00:09:46,160 Speaker 1: thinking about it and communicating it is different because of 165 00:09:46,320 --> 00:09:48,240 Speaker 1: just a simple thing of like, how many of these 166 00:09:48,240 --> 00:09:49,959 Speaker 1: little weird flanges do you have? 167 00:09:50,320 --> 00:09:52,760 Speaker 2: Yeah, I don't know if you watched the show Alien Earth, 168 00:09:52,760 --> 00:09:54,720 Speaker 2: but there's a scene where they tap out a few 169 00:09:54,720 --> 00:09:56,920 Speaker 2: digits a pie and then the alien taps out the 170 00:09:56,960 --> 00:10:00,840 Speaker 2: next few digits and they're like, whoa mind blow? But 171 00:10:00,960 --> 00:10:03,280 Speaker 2: of course you know that's in base head, and so 172 00:10:03,440 --> 00:10:06,040 Speaker 2: it's it's a little silly, but I'd love the show anyway. 173 00:10:06,280 --> 00:10:09,400 Speaker 2: But you're exactly right. The bases are are a very 174 00:10:09,440 --> 00:10:12,000 Speaker 2: simple way that we could be doing math differently from aliens, 175 00:10:12,000 --> 00:10:14,719 Speaker 2: and even in human cultures. We don't all use base ten, 176 00:10:14,760 --> 00:10:17,600 Speaker 2: like the Mayans use base sixty. Right, our computers use 177 00:10:17,640 --> 00:10:23,760 Speaker 2: base two. But even beyond mine, you're the biologist, I 178 00:10:23,760 --> 00:10:26,040 Speaker 2: don't know about that. I can't sign on to that. 179 00:10:26,280 --> 00:10:29,080 Speaker 2: But even beyond that, like the question does one plus 180 00:10:29,120 --> 00:10:31,600 Speaker 2: one equals two? Does it have to equal to everywhere 181 00:10:31,640 --> 00:10:35,040 Speaker 2: in the universe? Sounds insane, right, But once you start 182 00:10:35,080 --> 00:10:38,280 Speaker 2: digging into it, you discover that these things you assume 183 00:10:38,360 --> 00:10:41,200 Speaker 2: have to be true everywhere. I actually rest on kind 184 00:10:41,200 --> 00:10:45,200 Speaker 2: of fuzzy philosophical principles, like let's think about what it 185 00:10:45,240 --> 00:10:47,640 Speaker 2: means for one plus one equals to make a concrete Like, 186 00:10:47,720 --> 00:10:49,800 Speaker 2: say you have two apples on the table, right, you know, 187 00:10:50,080 --> 00:10:53,600 Speaker 2: one apple plus one apple. That's two apples, obviously, but 188 00:10:53,880 --> 00:10:56,200 Speaker 2: those two apples are not the same. One is bigger, 189 00:10:56,240 --> 00:10:58,520 Speaker 2: one is smaller, one is darker, one is lighter. Why 190 00:10:58,600 --> 00:11:01,600 Speaker 2: have you decided to group them together into this thing 191 00:11:01,679 --> 00:11:03,520 Speaker 2: you call apples? Right? 192 00:11:03,760 --> 00:11:03,880 Speaker 1: Right? 193 00:11:03,880 --> 00:11:05,400 Speaker 2: An alien might be like, I don't know what you're 194 00:11:05,400 --> 00:11:07,520 Speaker 2: talking about. That's this apple plus of that apple? What 195 00:11:07,640 --> 00:11:12,040 Speaker 2: is this tube business? The concept of two assumes some groups, 196 00:11:12,040 --> 00:11:14,760 Speaker 2: some set where you've decided what goes in it and 197 00:11:14,800 --> 00:11:17,120 Speaker 2: what goes out of it. Or even if you don't 198 00:11:17,120 --> 00:11:19,640 Speaker 2: have apples, what about you know, I'm one person, you're 199 00:11:19,679 --> 00:11:22,280 Speaker 2: another person. I can argue I'm different from you. There's 200 00:11:22,320 --> 00:11:24,480 Speaker 2: like a boundary between me and you, or a boundary 201 00:11:24,520 --> 00:11:29,400 Speaker 2: between me and the universe. Where is that boundary exactly? Biologically? 202 00:11:29,840 --> 00:11:31,680 Speaker 2: You know? If I cut off my arm, is my 203 00:11:31,800 --> 00:11:35,559 Speaker 2: arm still part of me? These are fuzzy philosophical questions, 204 00:11:35,600 --> 00:11:38,080 Speaker 2: not hard and fast, and it's not hard to imagine 205 00:11:38,080 --> 00:11:40,880 Speaker 2: aliens that like exist in the atmosphere of stars and 206 00:11:40,920 --> 00:11:43,800 Speaker 2: their plasma tendrils merge all the time, and for them, 207 00:11:43,840 --> 00:11:46,120 Speaker 2: they might be like, why are you guys drawing these 208 00:11:46,120 --> 00:11:48,800 Speaker 2: weird dotted lines between yourselves? We're all just part of 209 00:11:48,840 --> 00:11:51,160 Speaker 2: the same flow, dude. 210 00:11:51,160 --> 00:11:53,360 Speaker 1: Right, And so you could have like saying like one 211 00:11:53,360 --> 00:11:55,679 Speaker 1: plus one equals two to an alien would be like 212 00:11:55,760 --> 00:11:59,120 Speaker 1: maybe to us saying like, you know, one plus red 213 00:11:59,360 --> 00:12:04,080 Speaker 1: equal Tuesday Tuesday exactly, like where it's like, what are 214 00:12:04,080 --> 00:12:06,760 Speaker 1: you what are you talking about? But yeah, there's a 215 00:12:06,760 --> 00:12:10,559 Speaker 1: lot of like things, like especially when it comes to physics, 216 00:12:10,640 --> 00:12:16,040 Speaker 1: where when we look into how we view just fundamental 217 00:12:16,080 --> 00:12:22,440 Speaker 1: concepts like time, it comes down to weird physiological quirks. 218 00:12:22,480 --> 00:12:27,559 Speaker 1: So our sense of time is often related to distance. 219 00:12:27,679 --> 00:12:31,319 Speaker 1: So when we when we look at a timeline, for instance, right, 220 00:12:31,640 --> 00:12:35,439 Speaker 1: we have a sense of going forwards in times or 221 00:12:35,520 --> 00:12:39,200 Speaker 1: backwards in time. Right, it's this very a lot of 222 00:12:39,280 --> 00:12:44,439 Speaker 1: words that we use to describe time are shared with distance, right, 223 00:12:44,559 --> 00:12:48,040 Speaker 1: Like we have kind of this time is viewed as 224 00:12:48,080 --> 00:12:51,080 Speaker 1: a linear progression but also kind of almost like like 225 00:12:51,160 --> 00:12:54,520 Speaker 1: a line that you're walking on. Right. Uh, you look 226 00:12:54,559 --> 00:12:58,520 Speaker 1: at illustrations of the evolution of man. He's like lined 227 00:12:58,600 --> 00:13:02,640 Speaker 1: up in a line from from little fish thing to 228 00:13:03,000 --> 00:13:08,160 Speaker 1: like upright, businessman. Here's the progress through time represented in 229 00:13:08,200 --> 00:13:12,880 Speaker 1: this line, measured by distance. And we've actually found that 230 00:13:13,920 --> 00:13:19,800 Speaker 1: when we do experiments where you have people in a 231 00:13:19,920 --> 00:13:26,199 Speaker 1: study setting where they are measuring lengths both geometrically and temporally, 232 00:13:26,880 --> 00:13:29,320 Speaker 1: they easily get confused. So like if you have a 233 00:13:29,400 --> 00:13:32,320 Speaker 1: line on a screen, it's like either a short line 234 00:13:32,400 --> 00:13:36,040 Speaker 1: or a long line, and then you have people say 235 00:13:36,080 --> 00:13:39,640 Speaker 1: short or long. But you also have another condition, which 236 00:13:39,679 --> 00:13:41,840 Speaker 1: is the length of time that it's on the screen, 237 00:13:41,920 --> 00:13:44,600 Speaker 1: either a shorter amount of time or a longer amount 238 00:13:44,640 --> 00:13:47,600 Speaker 1: of time. Interesting, and then when you start to mix 239 00:13:47,679 --> 00:13:50,760 Speaker 1: the signals, like you're trying to do both tasks at once, 240 00:13:50,800 --> 00:13:53,600 Speaker 1: and you get contradictory things like a long line that's 241 00:13:53,720 --> 00:13:56,559 Speaker 1: on screen for a short period of time or vice versa, 242 00:13:57,000 --> 00:14:01,079 Speaker 1: people make more mistakes. And the fun thing is pigeons 243 00:14:01,120 --> 00:14:02,359 Speaker 1: make the same mistakes. 244 00:14:02,400 --> 00:14:05,840 Speaker 3: So we've done this both the human beings into pigeons, 245 00:14:05,840 --> 00:14:11,440 Speaker 3: and we've found pigeons also mess this up. So other 246 00:14:11,520 --> 00:14:14,920 Speaker 3: animals also, like primates, will make similar mistakes. So a 247 00:14:14,920 --> 00:14:20,960 Speaker 3: lot of animals will have this connection between distance and time. 248 00:14:21,360 --> 00:14:27,240 Speaker 3: And is that because objectively speaking, somehow pigeons understand the 249 00:14:27,240 --> 00:14:30,920 Speaker 3: physics of the universe and that time is something like distance, 250 00:14:31,480 --> 00:14:36,360 Speaker 3: or is it because being able to use time and 251 00:14:36,480 --> 00:14:41,720 Speaker 3: distance together helps them triangulate food sources that they use 252 00:14:41,880 --> 00:14:47,480 Speaker 3: by that they're able to find using an internal biological clock, 253 00:14:47,520 --> 00:14:51,040 Speaker 3: as well as signals from the sun that they triangulate 254 00:14:51,520 --> 00:14:55,200 Speaker 3: with an understanding of distance to be able to understand that, hey, 255 00:14:56,200 --> 00:14:57,640 Speaker 3: I can go to this place. 256 00:14:57,400 --> 00:15:00,480 Speaker 1: At this time and get food, which is another thing 257 00:15:00,520 --> 00:15:03,240 Speaker 1: that has been confirmed by research. I had to list 258 00:15:03,280 --> 00:15:05,560 Speaker 1: it right in with a question once about like how 259 00:15:05,560 --> 00:15:08,480 Speaker 1: does this pigeon know always how to find me? Because 260 00:15:08,520 --> 00:15:11,200 Speaker 1: I come at a very specific time to give out 261 00:15:11,280 --> 00:15:14,360 Speaker 1: some peanuts and this pigeon always knows how to find 262 00:15:14,360 --> 00:15:18,000 Speaker 1: me and when to come. And it's because of this, 263 00:15:18,720 --> 00:15:23,720 Speaker 1: this sort of ability to triangulate this internal clock as 264 00:15:23,800 --> 00:15:27,400 Speaker 1: well as distance, position of the sun, and then it 265 00:15:27,480 --> 00:15:30,120 Speaker 1: is a huge motivator to be able to triangulate food. 266 00:15:30,560 --> 00:15:35,520 Speaker 2: So did you interview that pigeon. We couldn't get our 267 00:15:35,560 --> 00:15:38,240 Speaker 2: schedules to the line up for some reason, wouldn't sign 268 00:15:38,240 --> 00:15:39,000 Speaker 2: the release for him. 269 00:15:40,400 --> 00:15:45,040 Speaker 1: But it's a really interesting idea that this are the 270 00:15:45,120 --> 00:15:48,760 Speaker 1: whole way we view time right like generally speaking, where 271 00:15:48,760 --> 00:15:52,360 Speaker 1: we kind of view it almost like this like track 272 00:15:52,480 --> 00:15:55,920 Speaker 1: that you're running along, you're going forward in time. We 273 00:15:56,120 --> 00:15:59,920 Speaker 1: fantasize about being able to travel backwards in time again 274 00:16:00,080 --> 00:16:03,400 Speaker 1: like a distance related thing. And this could be an 275 00:16:03,480 --> 00:16:07,440 Speaker 1: artifact of the just simple need to be able to 276 00:16:07,600 --> 00:16:12,240 Speaker 1: use time in order to locate food sources, because we're 277 00:16:12,280 --> 00:16:14,040 Speaker 1: animals and we need to eat and we need to 278 00:16:14,080 --> 00:16:17,560 Speaker 1: find things, and we know that sometimes like in order 279 00:16:17,600 --> 00:16:21,880 Speaker 1: to locate a certain food or do a certain survival thing, 280 00:16:21,920 --> 00:16:24,400 Speaker 1: we need to be able to triangulate both distance and 281 00:16:24,480 --> 00:16:26,880 Speaker 1: time to be in a certain location at a certain time. 282 00:16:27,520 --> 00:16:31,800 Speaker 1: And we link those concepts very closely. So then when 283 00:16:31,800 --> 00:16:34,520 Speaker 1: it comes to physics and we start to you know, 284 00:16:34,720 --> 00:16:39,320 Speaker 1: get into some really weird things, that is really hard. 285 00:16:40,080 --> 00:16:44,160 Speaker 1: I mean even understanding this about like you know, being 286 00:16:44,240 --> 00:16:47,560 Speaker 1: human and maybe viewing time in this biased way, I 287 00:16:47,600 --> 00:16:50,440 Speaker 1: still can't wrap my head around a lot of physics 288 00:16:50,520 --> 00:16:54,680 Speaker 1: concepts because when you start talking about weird things with time, 289 00:16:55,320 --> 00:16:57,200 Speaker 1: it's really hard for me to kind of get off 290 00:16:57,240 --> 00:17:00,120 Speaker 1: of this like mental track of like I'm like walking 291 00:17:00,160 --> 00:17:03,480 Speaker 1: down this road called time and that is where I am, 292 00:17:03,520 --> 00:17:05,760 Speaker 1: and that's how I travel through time, and that's what 293 00:17:05,800 --> 00:17:09,600 Speaker 1: it is. And then when physics starts introducing these other 294 00:17:09,680 --> 00:17:13,520 Speaker 1: concepts relating to times, it's like very hard to get 295 00:17:13,560 --> 00:17:17,959 Speaker 1: out of that sort of like rigid way of viewing it. 296 00:17:18,640 --> 00:17:22,120 Speaker 2: Yeah, and we experienced time over a certain set of scales, right, 297 00:17:22,200 --> 00:17:24,360 Speaker 2: Like we can think about time in terms of a second, 298 00:17:24,600 --> 00:17:28,880 Speaker 2: a year, maybe a decade. Really long time scales are 299 00:17:28,960 --> 00:17:31,679 Speaker 2: hard for us to grock. You know, theories like the 300 00:17:31,760 --> 00:17:37,440 Speaker 2: tectonic plates and glaciers initially were dismissed because they require 301 00:17:37,520 --> 00:17:41,080 Speaker 2: things to happen over such long time periods. They seemed absurd, 302 00:17:41,880 --> 00:17:44,280 Speaker 2: and we know that there's lots of physics that happens 303 00:17:44,280 --> 00:17:47,399 Speaker 2: over millions or billions of years, Like the Solar system, 304 00:17:47,480 --> 00:17:49,840 Speaker 2: if you look at it over a few years, seems 305 00:17:49,840 --> 00:17:52,480 Speaker 2: pretty steady. If you look at it over billions of years, 306 00:17:52,680 --> 00:17:55,360 Speaker 2: it's a chaotic mess, with planets moving in and out 307 00:17:55,400 --> 00:17:58,280 Speaker 2: and being tossed out. And probably there were other planets 308 00:17:58,280 --> 00:18:01,040 Speaker 2: in our Solar system which we've now a banded or 309 00:18:01,080 --> 00:18:04,160 Speaker 2: the universe looks very, very different on short time scales. 310 00:18:04,560 --> 00:18:06,639 Speaker 2: You know, you zoom in and you try to understand 311 00:18:06,640 --> 00:18:10,040 Speaker 2: the universe and like the microphysics and the interactions of particles, 312 00:18:10,040 --> 00:18:12,720 Speaker 2: and it looks vastly different from the way we do. 313 00:18:12,880 --> 00:18:16,600 Speaker 2: So if aliens, for example, live on really long time scales, 314 00:18:17,080 --> 00:18:19,720 Speaker 2: dark matter beings that take like a thousand years to 315 00:18:19,760 --> 00:18:23,479 Speaker 2: think a thought, or quantum mechanical beings that you know, 316 00:18:23,720 --> 00:18:25,959 Speaker 2: buzz here and there and pop in and out of 317 00:18:26,000 --> 00:18:29,400 Speaker 2: existence on microscopic time scales, it could be very hard 318 00:18:29,440 --> 00:18:32,120 Speaker 2: to communicate with them about these concepts of the universe, 319 00:18:32,200 --> 00:18:35,399 Speaker 2: because our notion of time really does determine how we 320 00:18:35,440 --> 00:18:38,480 Speaker 2: think about the universe and the kinds of physics that 321 00:18:38,520 --> 00:18:41,760 Speaker 2: we're just sort of capable of digesting, even though we 322 00:18:41,880 --> 00:18:44,520 Speaker 2: have you know, Einstein, who helped us understand the connection 323 00:18:44,840 --> 00:18:48,440 Speaker 2: between space and time that apparently pigeons intuitively know, right, 324 00:18:48,480 --> 00:18:50,440 Speaker 2: I mean I heard of pigeon English, but maybe this 325 00:18:50,600 --> 00:18:51,480 Speaker 2: pigeon Einstein. 326 00:18:51,560 --> 00:18:58,399 Speaker 1: Also pigeon Einstein knows where to get all the best breadcrumbs. 327 00:19:00,080 --> 00:19:05,720 Speaker 1: Relatively yeah, yeah, relatively speaking, But it is really interesting. 328 00:19:05,800 --> 00:19:08,960 Speaker 1: I mean, there's even on Earth, like you don't even 329 00:19:09,040 --> 00:19:12,840 Speaker 1: necessarily have to find an alien. Like the flicker frame rate, 330 00:19:12,880 --> 00:19:17,160 Speaker 1: which is like our brain's processing ability of basically our 331 00:19:17,240 --> 00:19:20,840 Speaker 1: eye sort of refresh rate, to put it in very 332 00:19:20,880 --> 00:19:26,200 Speaker 1: simple terms, is different depending on what animal you are. 333 00:19:26,280 --> 00:19:29,199 Speaker 1: So if you've ever wondered, like I want to, like 334 00:19:29,200 --> 00:19:31,520 Speaker 1: like when you have an annoying fly and you're trying 335 00:19:31,520 --> 00:19:33,840 Speaker 1: to swat it and it seems to live in bullet 336 00:19:33,880 --> 00:19:36,960 Speaker 1: time like Neo and be able to like sense when 337 00:19:37,000 --> 00:19:39,520 Speaker 1: your hand is coming down no matter how fast you are, 338 00:19:40,600 --> 00:19:44,880 Speaker 1: it's because it is it has the ability to actually 339 00:19:45,640 --> 00:19:51,600 Speaker 1: experience things very slowly, and so it is like it's 340 00:19:51,840 --> 00:19:55,040 Speaker 1: these The ability for it to escape you is because 341 00:19:55,080 --> 00:19:57,520 Speaker 1: like to it like your hand is coming down just 342 00:19:57,520 --> 00:20:00,480 Speaker 1: sort of gradually and it's like easy, peasy, I can 343 00:20:00,920 --> 00:20:02,399 Speaker 1: get away from that real fast. 344 00:20:03,520 --> 00:20:08,640 Speaker 2: And because we have selected four flies that survive our swaters, right, 345 00:20:08,760 --> 00:20:11,800 Speaker 2: every time you swatter fly, you're making the average fly faster. 346 00:20:12,240 --> 00:20:16,560 Speaker 2: Every time you kill a mosquito, you're selecting for more deadly, 347 00:20:16,720 --> 00:20:19,080 Speaker 2: more evasive mosquito. So thanks everybody. 348 00:20:19,600 --> 00:20:23,159 Speaker 1: Yeah, yeah, exactly, fly swater resistant bugs. They're going to 349 00:20:23,240 --> 00:20:28,200 Speaker 1: start to develop little helmets all because of us. But yeah, 350 00:20:28,400 --> 00:20:30,879 Speaker 1: before we move on to kind of talking more about 351 00:20:31,359 --> 00:20:35,560 Speaker 1: animals instead of well, people are animals, but you know, 352 00:20:36,160 --> 00:20:40,760 Speaker 1: cooler animals. One of the interesting things is that I 353 00:20:40,800 --> 00:20:46,440 Speaker 1: think when we look at like how we communicate, right, 354 00:20:46,520 --> 00:20:50,280 Speaker 1: and one of the ideas is that, well, like with 355 00:20:50,440 --> 00:20:55,560 Speaker 1: our human language, that basically shapes entirely how we think. 356 00:20:55,760 --> 00:21:00,960 Speaker 1: So we would never we could never pass think like 357 00:21:01,000 --> 00:21:03,760 Speaker 1: an alien because we have human language, which is a 358 00:21:03,800 --> 00:21:08,960 Speaker 1: specific thing, specific style of communication that completely shapes how 359 00:21:08,960 --> 00:21:11,320 Speaker 1: we think. Like we wouldn't think the way we do, 360 00:21:12,359 --> 00:21:14,480 Speaker 1: maybe we wouldn't even think at all if we didn't 361 00:21:14,480 --> 00:21:19,240 Speaker 1: have language. And there's actually been some research into that. 362 00:21:20,000 --> 00:21:23,520 Speaker 1: And it's not to say that language does not influence thought, 363 00:21:23,520 --> 00:21:29,520 Speaker 1: because it certainly does, but thinking and language right are 364 00:21:29,720 --> 00:21:33,800 Speaker 1: actually not completely dependent on each other, which is weird. 365 00:21:34,359 --> 00:21:38,520 Speaker 1: So ah, there were researchers at MIT and UC Berkeley 366 00:21:38,880 --> 00:21:43,960 Speaker 1: who used fMRIs to look at parts of the brain 367 00:21:44,080 --> 00:21:47,360 Speaker 1: that were active when people were doing tasks like anything 368 00:21:47,480 --> 00:21:52,600 Speaker 1: from reading to doing a saduco puzzle. I mean, for me, 369 00:21:52,800 --> 00:21:55,160 Speaker 1: they would find no brain activity because I'm really bad 370 00:21:55,200 --> 00:21:59,239 Speaker 1: at those. But in general, what they found is that 371 00:22:00,200 --> 00:22:03,640 Speaker 1: the language areas of the brain were not going off 372 00:22:03,680 --> 00:22:06,760 Speaker 1: all the time as they were thinking through these processes, 373 00:22:06,880 --> 00:22:11,280 Speaker 1: So it wasn't as we may have this experience of 374 00:22:11,359 --> 00:22:13,920 Speaker 1: like when you're sitting and you're kind of like thinking, 375 00:22:14,240 --> 00:22:18,040 Speaker 1: sometimes you have an internal narration where you hear you're 376 00:22:18,040 --> 00:22:20,600 Speaker 1: almost having a conversation with yourself in your head, where 377 00:22:20,600 --> 00:22:23,080 Speaker 1: you hear your own voice, you hear your own thoughts. 378 00:22:23,320 --> 00:22:28,080 Speaker 1: Not everyone actually has that, Like, not everyone experiences that. 379 00:22:27,760 --> 00:22:32,359 Speaker 1: There's variation in human thought, which we take for granted 380 00:22:32,400 --> 00:22:34,240 Speaker 1: we're all thinking the same, but there are people who 381 00:22:34,240 --> 00:22:37,480 Speaker 1: have a fantasia where they don't think in images, and 382 00:22:37,520 --> 00:22:40,440 Speaker 1: people who think almost entirely in images and don't have 383 00:22:40,520 --> 00:22:42,879 Speaker 1: a lot of that internal narration. So there's a lot 384 00:22:42,920 --> 00:22:46,879 Speaker 1: of variability even among people, even within the same language. 385 00:22:48,000 --> 00:22:54,119 Speaker 1: But generally speaking, we can think without language. People who 386 00:22:54,520 --> 00:22:58,919 Speaker 1: suffer a stroke, who actually have brain damage in the 387 00:22:58,960 --> 00:23:04,280 Speaker 1: region's responsible for producing an understanding language, and who can't 388 00:23:04,320 --> 00:23:08,119 Speaker 1: do either, can still sometimes do things like math problems, 389 00:23:08,240 --> 00:23:12,880 Speaker 1: play music so or even make future plans. So our 390 00:23:12,920 --> 00:23:17,639 Speaker 1: ability to think is not that it's completely independent from language. 391 00:23:18,080 --> 00:23:23,240 Speaker 1: These are parallel processes that influence each other but are 392 00:23:23,280 --> 00:23:28,199 Speaker 1: not completely integrated with one another. So we can think 393 00:23:29,040 --> 00:23:33,520 Speaker 1: without necessarily using our language center and as you probably 394 00:23:33,600 --> 00:23:36,600 Speaker 1: know listening to other people and politicians, you can also 395 00:23:36,680 --> 00:23:40,760 Speaker 1: use your language without thinking very much. People can talk 396 00:23:41,160 --> 00:23:44,280 Speaker 1: without necessarily being conscious or thinking about what they're saying. 397 00:23:44,280 --> 00:23:47,640 Speaker 1: That's not even just a joke like people can use. 398 00:23:47,680 --> 00:23:51,920 Speaker 1: There can be like sort of weird situations in which 399 00:23:51,960 --> 00:23:57,159 Speaker 1: someone is not actually conscious but is like talking and 400 00:23:57,240 --> 00:24:02,639 Speaker 1: not necessarily thinking, but is using language. So in this sense, 401 00:24:02,680 --> 00:24:06,600 Speaker 1: I think it's kind of maybe a little optimistic, because 402 00:24:06,640 --> 00:24:11,639 Speaker 1: even if we have a huge language barrier with another 403 00:24:11,840 --> 00:24:17,879 Speaker 1: alien and maybe they don't even have a language, they're 404 00:24:18,080 --> 00:24:21,920 Speaker 1: still potentially thinking, and we might share a lot of 405 00:24:22,720 --> 00:24:25,320 Speaker 1: a lot of ways in which we think. Of course 406 00:24:25,320 --> 00:24:27,840 Speaker 1: it's going to be different, but there's still there's still 407 00:24:27,880 --> 00:24:30,720 Speaker 1: thinking going on that maybe we're sharing. That might be 408 00:24:30,760 --> 00:24:34,880 Speaker 1: really hard to bridge that gap, but it still exist. 409 00:24:35,119 --> 00:24:38,080 Speaker 2: Yeah, I agree with you that language captures some of 410 00:24:38,119 --> 00:24:41,800 Speaker 2: what we're thinking, but it isn't the same thing, because 411 00:24:41,840 --> 00:24:44,600 Speaker 2: when you go from the ideas in your head to language, 412 00:24:44,880 --> 00:24:48,720 Speaker 2: you're making this arbitrary translation to like these from these 413 00:24:48,760 --> 00:24:52,119 Speaker 2: ideas to these symbols. And we've just like agreed on 414 00:24:52,200 --> 00:24:54,480 Speaker 2: these symbols and what they mean so that when you 415 00:24:54,600 --> 00:24:57,040 Speaker 2: hear them, they create in your mind the same ideas 416 00:24:57,080 --> 00:24:59,480 Speaker 2: that I was trying to convey. But in order for 417 00:24:59,520 --> 00:25:02,160 Speaker 2: that to work, you have to know what that mapping 418 00:25:02,320 --> 00:25:04,440 Speaker 2: is from the ideas to the symbols. So you can 419 00:25:04,480 --> 00:25:06,760 Speaker 2: invert it, right, you can back it out and say 420 00:25:06,800 --> 00:25:09,840 Speaker 2: when Katie says pigeon, I know what that means. I 421 00:25:09,840 --> 00:25:11,840 Speaker 2: have this idea of a pigeon. It's connected to this 422 00:25:11,960 --> 00:25:15,480 Speaker 2: word pigeon, which I either hear or I see. And 423 00:25:15,680 --> 00:25:19,320 Speaker 2: the issue with that is that the mapping is arbitrary. Right, 424 00:25:19,600 --> 00:25:22,760 Speaker 2: there's no symbol which can only be mapped to one idea, 425 00:25:22,920 --> 00:25:25,280 Speaker 2: and there's no mapping, which like, well, how you have 426 00:25:25,359 --> 00:25:28,000 Speaker 2: to choose this symbol for this idea, which means if 427 00:25:28,000 --> 00:25:30,439 Speaker 2: you see a bunch of symbols, you have no idea 428 00:25:30,560 --> 00:25:34,120 Speaker 2: what ideas they might map to. And this is evidenced 429 00:25:34,119 --> 00:25:38,240 Speaker 2: by like our attempts to you know, decode whale song 430 00:25:38,520 --> 00:25:44,320 Speaker 2: or dolphins, or even languages from extinct human civilizations. These 431 00:25:44,320 --> 00:25:48,159 Speaker 2: are like equivalent biological humans with ideas probably very similar 432 00:25:48,200 --> 00:25:50,439 Speaker 2: to our own, but we just don't know how to 433 00:25:50,520 --> 00:25:54,080 Speaker 2: crack their ancient languages because it's an arbitrary mapping between 434 00:25:54,080 --> 00:25:57,080 Speaker 2: the ideas and the symbols. And you know, we've done 435 00:25:57,119 --> 00:25:59,280 Speaker 2: it in some cases, like for the Egyptians, but that 436 00:25:59,440 --> 00:26:02,600 Speaker 2: only with a cheat sheet of the Rosetta Stone, plus 437 00:26:02,960 --> 00:26:05,960 Speaker 2: a lot of cultural context and clues and going down 438 00:26:06,000 --> 00:26:09,600 Speaker 2: the wrong path for like sometimes twenty years. So we 439 00:26:09,640 --> 00:26:13,240 Speaker 2: should be really skeptical that we'll ever have a chance 440 00:26:13,320 --> 00:26:16,480 Speaker 2: to decode alien languages. I mean, I'm a big fan 441 00:26:16,520 --> 00:26:18,560 Speaker 2: of Seti, for example, and I think they should do it. 442 00:26:18,600 --> 00:26:21,879 Speaker 2: And Jill Titar is fantastic and none of this is 443 00:26:21,920 --> 00:26:24,120 Speaker 2: news to her, but the idea that we could get 444 00:26:24,119 --> 00:26:28,000 Speaker 2: a message from space, understand, recognize that it's an alien message, 445 00:26:28,000 --> 00:26:33,200 Speaker 2: and then somehow decode it into concepts is almost fantastical 446 00:26:33,520 --> 00:26:36,480 Speaker 2: without an alien there to interact with and to interrogate 447 00:26:36,560 --> 00:26:39,960 Speaker 2: and like point it stuff and say donut, pigeon, apple 448 00:26:40,400 --> 00:26:42,720 Speaker 2: or whatever. So I think that task is going to 449 00:26:42,800 --> 00:26:45,600 Speaker 2: be really, really hard, and that's why some people are like, oh, 450 00:26:45,640 --> 00:26:48,440 Speaker 2: you should begin with math. But even math has symbols, right, 451 00:26:48,560 --> 00:26:51,639 Speaker 2: representing one and two or pi or whatever. There's always 452 00:26:51,680 --> 00:26:54,159 Speaker 2: a symbol there, and that's always arbitrary. And if you 453 00:26:54,200 --> 00:26:57,840 Speaker 2: look at what physicists have done already trying to communicate 454 00:26:57,880 --> 00:27:01,800 Speaker 2: with aliens, it's you know, it's earnest and it's well intentioned, 455 00:27:01,920 --> 00:27:03,520 Speaker 2: and it's a great effort, and I don't have a 456 00:27:03,520 --> 00:27:06,119 Speaker 2: better idea, but it's also kind of hopeless. You know. 457 00:27:06,119 --> 00:27:10,280 Speaker 2: There's a guy who literally drew, literally scraped out canals 458 00:27:10,320 --> 00:27:13,440 Speaker 2: in the desert, filled them with kerosene, and lit them 459 00:27:13,440 --> 00:27:16,920 Speaker 2: on fire from and wrote mathematical equations in the Sahara, 460 00:27:17,000 --> 00:27:19,040 Speaker 2: hoping the Martians would read them and be like, oh, 461 00:27:19,080 --> 00:27:20,440 Speaker 2: there's intelligent life on Earth. 462 00:27:21,840 --> 00:27:24,400 Speaker 1: They're probably like, my god, they're burning their own planet. 463 00:27:24,760 --> 00:27:28,760 Speaker 1: It's very unintelligent life on Earth. Well, we're going to 464 00:27:28,840 --> 00:27:30,840 Speaker 1: take a quick break. When we get back, I will 465 00:27:30,840 --> 00:27:33,879 Speaker 1: talk about some of the unique ways that animals sense 466 00:27:33,960 --> 00:27:38,000 Speaker 1: the world that shapes their intelligence and their social lives 467 00:27:38,119 --> 00:27:41,880 Speaker 1: as a way to kind of perhaps conceptualize how this 468 00:27:41,960 --> 00:27:47,159 Speaker 1: might work for aliens. So we've mostly talked about the 469 00:27:47,520 --> 00:27:55,439 Speaker 1: human sensory experience, but the animal senses. I talk a 470 00:27:55,440 --> 00:27:58,280 Speaker 1: lot about like our similarities with animals on the show, 471 00:27:58,400 --> 00:28:01,600 Speaker 1: but also I highlight very different like in terms of 472 00:28:02,400 --> 00:28:07,400 Speaker 1: a lot of fundamental things in their There a lot 473 00:28:07,440 --> 00:28:13,240 Speaker 1: of times it comes down to their sensory experience. So like, 474 00:28:13,359 --> 00:28:17,280 Speaker 1: for instance, your dog, who we relate really well with dogs. 475 00:28:17,280 --> 00:28:20,240 Speaker 1: We've co evolved to the point where we communicate really well. 476 00:28:20,240 --> 00:28:22,919 Speaker 1: I'm sure we don't speak the exact same language, but 477 00:28:22,920 --> 00:28:27,040 Speaker 1: it's actually really remarkable how well we communicate with dogs 478 00:28:27,080 --> 00:28:27,960 Speaker 1: and vice versa. 479 00:28:28,400 --> 00:28:30,600 Speaker 2: You can tell when a dog is happy or sad. 480 00:28:30,760 --> 00:28:33,639 Speaker 2: What you can you feel, you emotionally feel their experience. Ye, 481 00:28:33,680 --> 00:28:35,200 Speaker 2: it's amazing that happens. 482 00:28:34,920 --> 00:28:37,399 Speaker 1: Exactly even though they don't smile in the way that 483 00:28:37,440 --> 00:28:41,160 Speaker 1: we do. They don't laugh, but we can. You know, 484 00:28:41,360 --> 00:28:46,280 Speaker 1: we have learned how to understand their body language, their 485 00:28:46,360 --> 00:28:49,160 Speaker 1: gestures and to the point where you know, we were like, yeah, 486 00:28:49,160 --> 00:28:51,120 Speaker 1: we get when a dog is happy, when a dog 487 00:28:51,160 --> 00:28:56,120 Speaker 1: is upset, But dogs also have this huge experience that 488 00:28:56,240 --> 00:28:59,080 Speaker 1: is just beyond us, which is their sense of smell, 489 00:28:59,160 --> 00:29:03,200 Speaker 1: which is incredible. Uh. And so often you'll take your 490 00:29:03,200 --> 00:29:06,040 Speaker 1: dog to a park and it's just like smelling everything, 491 00:29:06,080 --> 00:29:09,680 Speaker 1: and you're like, this is super boring. I don't you 492 00:29:09,720 --> 00:29:11,400 Speaker 1: want to run around, I don't want to play fetch, 493 00:29:11,440 --> 00:29:13,720 Speaker 1: And all the dog wants to do is smell some 494 00:29:13,840 --> 00:29:17,240 Speaker 1: gross little patch of unidentified liquid on the ground. And 495 00:29:17,440 --> 00:29:19,960 Speaker 1: it's you know, to the owner, it's like, I don't 496 00:29:20,000 --> 00:29:21,640 Speaker 1: understand why you don't want to play, why you don't 497 00:29:21,680 --> 00:29:24,040 Speaker 1: want to exercise, You're just doing all this boring smelling. 498 00:29:24,240 --> 00:29:26,280 Speaker 1: But to the dog, it's like going to an art 499 00:29:26,360 --> 00:29:31,360 Speaker 1: gallery of just like so many interesting smells. It's like, uh, 500 00:29:31,840 --> 00:29:35,200 Speaker 1: or scrolling through Facebook, right, because it's like I'm smelling 501 00:29:35,200 --> 00:29:38,040 Speaker 1: the pee of another dog. This is a female, she's 502 00:29:39,120 --> 00:29:44,080 Speaker 1: reproductively active. But also this is from two days ago, 503 00:29:44,280 --> 00:29:49,400 Speaker 1: so tough luck for me. And so yeah, so it's 504 00:29:49,520 --> 00:29:51,720 Speaker 1: so they get all this information, and to us, it's 505 00:29:51,760 --> 00:29:54,160 Speaker 1: just this kind of like locked world because we don't 506 00:29:54,280 --> 00:29:59,479 Speaker 1: have that experience of smells and it really influences dog's 507 00:29:59,480 --> 00:30:03,600 Speaker 1: social ba behavior. That's why they're so obsessed with smelling everything. 508 00:30:03,920 --> 00:30:07,120 Speaker 1: They are probably seeing us staring at our TVs with 509 00:30:07,240 --> 00:30:10,440 Speaker 1: like kind of some moving lights and stuff to that. 510 00:30:10,480 --> 00:30:13,000 Speaker 1: To them, it's like, I guess that's okay, but I 511 00:30:13,040 --> 00:30:16,040 Speaker 1: don't know why they're so fascinated by that. That seems 512 00:30:16,080 --> 00:30:19,200 Speaker 1: really boring because like for a dog, their eyesight is 513 00:30:19,240 --> 00:30:22,560 Speaker 1: not really as powerful as their sense of smell, where 514 00:30:22,600 --> 00:30:26,000 Speaker 1: they just have such an incredible minute ability to smell. 515 00:30:26,040 --> 00:30:28,280 Speaker 1: For them, going to a park smelling all the smells 516 00:30:28,280 --> 00:30:31,240 Speaker 1: is probably as fun as reading a book or watching 517 00:30:31,280 --> 00:30:32,920 Speaker 1: a TV show exactly. 518 00:30:33,000 --> 00:30:36,440 Speaker 2: And there's two components of that. There's the biological senses, right, 519 00:30:36,560 --> 00:30:39,440 Speaker 2: like their nose is complicated, it's got these different receptors, 520 00:30:39,720 --> 00:30:41,480 Speaker 2: et cetera, et cetera. But then there's like what is 521 00:30:41,520 --> 00:30:43,959 Speaker 2: it like to be that dog? Like how does your 522 00:30:43,960 --> 00:30:46,800 Speaker 2: brain their brain interpret it? What are the quality of 523 00:30:46,800 --> 00:30:49,640 Speaker 2: as philosophers would say, of that senses and what is 524 00:30:49,640 --> 00:30:52,200 Speaker 2: it What kind of mental model of the universe are 525 00:30:52,200 --> 00:30:55,480 Speaker 2: they building if it's built on sense? Right, as you say, 526 00:30:55,520 --> 00:30:58,280 Speaker 2: we're so visually cute that we were trying to imagine 527 00:30:58,320 --> 00:31:01,040 Speaker 2: a dog's world, I immediately art with like a mental 528 00:31:01,080 --> 00:31:03,240 Speaker 2: map of the room, but like, I don't even know 529 00:31:03,280 --> 00:31:05,560 Speaker 2: if that's like dogs put that in a sort of 530 00:31:05,600 --> 00:31:07,960 Speaker 2: space and time in their heads the same way we do. 531 00:31:08,720 --> 00:31:11,160 Speaker 1: Yeah, they could have, like they could think and smells, 532 00:31:11,200 --> 00:31:13,360 Speaker 1: which is very weird for us because our sense of 533 00:31:13,440 --> 00:31:16,760 Speaker 1: smell is not great. It's good enough to be able 534 00:31:16,760 --> 00:31:20,000 Speaker 1: to smell something good sometimes. I mean, I guess the 535 00:31:20,040 --> 00:31:22,680 Speaker 1: closest we could get is sometimes you have like a 536 00:31:22,720 --> 00:31:28,160 Speaker 1: smell dependent memory, like maybe peppermint makes you think of winter, 537 00:31:28,320 --> 00:31:31,920 Speaker 1: maybe pumpkin spice makes you think of fall, right, like, 538 00:31:31,960 --> 00:31:36,440 Speaker 1: so we do have some ability to map smells to emotions, 539 00:31:36,480 --> 00:31:40,000 Speaker 1: to thoughts and feelings. But you know, if our smell 540 00:31:40,120 --> 00:31:42,560 Speaker 1: is like, you know, a hundred times more powerful in 541 00:31:42,600 --> 00:31:45,720 Speaker 1: the way that like dogs have this extremely powerful smell, 542 00:31:45,760 --> 00:31:49,080 Speaker 1: I think like we might think more in smells and odors. 543 00:31:49,080 --> 00:31:50,920 Speaker 1: So you're thinking, and you're having a memory of a 544 00:31:50,960 --> 00:31:54,160 Speaker 1: smell or maybe several smells, and that's kind of basically 545 00:31:54,160 --> 00:31:55,240 Speaker 1: a whole thought to you. 546 00:31:55,560 --> 00:31:58,840 Speaker 2: There's some dog podcast where the host is like smelling 547 00:31:58,920 --> 00:31:59,640 Speaker 2: is not thinking. 548 00:32:02,000 --> 00:32:04,680 Speaker 1: They'd have to do some kind of dog podcasts that's 549 00:32:04,720 --> 00:32:10,080 Speaker 1: in smellovision court to be fun for dogs. There's definite 550 00:32:10,160 --> 00:32:13,040 Speaker 1: impacts of the way that animals sense the world on 551 00:32:13,520 --> 00:32:17,200 Speaker 1: their social structures. So like, for instance, with bats, they 552 00:32:17,320 --> 00:32:23,720 Speaker 1: use echolocation, particularly insectivorous bats, because they need to hunt 553 00:32:23,760 --> 00:32:27,560 Speaker 1: down the insects, little fly insects usually, and so using echolocation, 554 00:32:27,720 --> 00:32:30,480 Speaker 1: they send out a sound that bounces off their environment, 555 00:32:30,520 --> 00:32:33,600 Speaker 1: comes back to them, gets captured those giant amazing ears. 556 00:32:34,120 --> 00:32:36,240 Speaker 1: That works a bit like SETI because it's just these 557 00:32:36,320 --> 00:32:41,320 Speaker 1: huge panels that take in all these sounds, and then 558 00:32:41,320 --> 00:32:44,280 Speaker 1: that's how they can like sort of be able to 559 00:32:44,520 --> 00:32:48,840 Speaker 1: find the movement of little moth or a mosquito. And 560 00:32:49,800 --> 00:32:55,760 Speaker 1: bats generally speaking are quite social actually, particularly smaller species 561 00:32:55,800 --> 00:32:59,680 Speaker 1: like insectiv wares. They live in these huge colonies. But 562 00:33:00,080 --> 00:33:03,440 Speaker 1: you'll notice they don't necessarily hunt in massive groups, and 563 00:33:03,480 --> 00:33:08,480 Speaker 1: they don't, which is actually because of a limitation of 564 00:33:08,680 --> 00:33:12,200 Speaker 1: their echolocation. When they're roosting, they're all together, they're having 565 00:33:12,200 --> 00:33:15,959 Speaker 1: a nice time, a lot of socializing and grooming. When 566 00:33:15,960 --> 00:33:19,720 Speaker 1: they're out hunting, they are usually in smaller groups, maybe 567 00:33:20,240 --> 00:33:23,440 Speaker 1: a handful of them, but certainly not a huge group 568 00:33:23,720 --> 00:33:27,840 Speaker 1: of them. All feeding like you actually see sometimes swifts, 569 00:33:27,880 --> 00:33:31,040 Speaker 1: which is a type of bird, and huge groups like 570 00:33:31,120 --> 00:33:37,040 Speaker 1: going around feeding all going bananas, having mosquitoes, and even 571 00:33:37,120 --> 00:33:40,920 Speaker 1: like spie little spiders that are floating in the air. 572 00:33:41,280 --> 00:33:43,840 Speaker 1: You don't see this with bats as much. They usually 573 00:33:44,440 --> 00:33:47,400 Speaker 1: try to fan out, and that's because there's interference if 574 00:33:47,400 --> 00:33:51,720 Speaker 1: there's too many bats in one area. Using echolocation, they 575 00:33:51,960 --> 00:33:54,840 Speaker 1: up to a certain point they actually get some benefit 576 00:33:54,960 --> 00:33:59,640 Speaker 1: from other bats echo locating near them. Interesting, they yeah, 577 00:33:59,720 --> 00:34:02,480 Speaker 1: so it's like because the feedback from the other bats 578 00:34:03,360 --> 00:34:07,000 Speaker 1: is letting them know the location of some insects, and 579 00:34:07,040 --> 00:34:09,879 Speaker 1: so up until a certain point, like a certain number 580 00:34:09,920 --> 00:34:13,720 Speaker 1: of bats, like they actually see a benefit they hunt 581 00:34:13,760 --> 00:34:16,680 Speaker 1: more efficiently. And then after that point, when it gets 582 00:34:16,719 --> 00:34:19,560 Speaker 1: too crowded and the bat density gets to be too much, 583 00:34:19,960 --> 00:34:23,880 Speaker 1: it falls off where they there's too much interference and 584 00:34:23,920 --> 00:34:29,719 Speaker 1: they don't hunt as well. So their entire system of 585 00:34:29,760 --> 00:34:35,839 Speaker 1: ecco location completely changes their little bat society, like it's 586 00:34:36,160 --> 00:34:39,200 Speaker 1: it limits how many of them can be cooperating and 587 00:34:39,280 --> 00:34:42,360 Speaker 1: hunting together at once. Whereas like you think of humans, 588 00:34:43,040 --> 00:34:47,399 Speaker 1: we have both verbal communication and visual communication. We're able 589 00:34:47,480 --> 00:34:50,160 Speaker 1: to plan, so we could get into we could get 590 00:34:50,160 --> 00:34:53,160 Speaker 1: together in a massive group and hunt together, like go 591 00:34:53,239 --> 00:34:55,920 Speaker 1: after some big prey and be hunting together and remain 592 00:34:56,320 --> 00:34:59,200 Speaker 1: relatively silent because we don't have to keep going like hey, 593 00:34:59,600 --> 00:35:03,480 Speaker 1: to be a to see where the the masdon we're 594 00:35:03,560 --> 00:35:07,319 Speaker 1: hunting is. So we you know, not that we did 595 00:35:07,360 --> 00:35:09,480 Speaker 1: too much of that, but you know, like when we're 596 00:35:09,520 --> 00:35:11,440 Speaker 1: when we're trying to hunt animals, we can be in 597 00:35:11,520 --> 00:35:15,319 Speaker 1: relatively large groups and work together. We can also plan, 598 00:35:15,400 --> 00:35:18,799 Speaker 1: we can communicate, so then that shapes human society. A 599 00:35:18,880 --> 00:35:25,000 Speaker 1: really weird example of communication is one of the strangest mammals, 600 00:35:25,000 --> 00:35:28,000 Speaker 1: which is the naked mole rat, which is one of 601 00:35:28,160 --> 00:35:35,600 Speaker 1: the only use social mammals in the world. There's uh there. 602 00:35:35,400 --> 00:35:39,799 Speaker 1: You've probably seen them. They're little weird looking, very weird looking, 603 00:35:39,840 --> 00:35:46,200 Speaker 1: a little scrotle. They're there. They have they're almost completely hairless. 604 00:35:46,200 --> 00:35:49,920 Speaker 1: They have a few sensory hairs, but they're pink and wrinkling, 605 00:35:50,080 --> 00:35:53,560 Speaker 1: kind of ugly or cute depending on your perspective. But 606 00:35:53,640 --> 00:35:57,560 Speaker 1: they live in these vast underground tunnels. Uh. And they're 607 00:35:57,680 --> 00:36:02,319 Speaker 1: use social, which means that they have defined roles, and 608 00:36:02,360 --> 00:36:06,240 Speaker 1: they have reproductive roles. So there is a reproductive queen 609 00:36:06,840 --> 00:36:12,200 Speaker 1: and all of the other females don't reproduce. And it's 610 00:36:12,320 --> 00:36:16,120 Speaker 1: actually really interesting how they do this because unlike ants 611 00:36:16,280 --> 00:36:21,319 Speaker 1: or termites, insects that are used social often have like 612 00:36:22,160 --> 00:36:26,480 Speaker 1: these like weird genetic shenanigans, happily diploid where you found 613 00:36:26,800 --> 00:36:30,720 Speaker 1: this high relatedness between the queen's offspring and the worker 614 00:36:30,800 --> 00:36:35,239 Speaker 1: ants to the point where you see some benefit of 615 00:36:36,160 --> 00:36:39,000 Speaker 1: not necessarily everyone reproducing, and then also a lot of 616 00:36:39,040 --> 00:36:43,439 Speaker 1: pheromone communication. With naked morats, you don't have that sort 617 00:36:43,440 --> 00:36:49,560 Speaker 1: of weird genetic shenanigans. So the enforcement of the sexual 618 00:36:49,640 --> 00:36:52,360 Speaker 1: hierarchy where the queen is the only one reproducing is 619 00:36:52,400 --> 00:36:56,840 Speaker 1: really interesting. They have really bad eye sight. They mostly 620 00:36:56,880 --> 00:37:00,720 Speaker 1: communicate through touch, smell, and sound and sense. The smell 621 00:37:00,800 --> 00:37:04,080 Speaker 1: is really good, and they do a lot of weird 622 00:37:05,280 --> 00:37:11,279 Speaker 1: kind of poop related communications. So the number one thing 623 00:37:11,360 --> 00:37:16,319 Speaker 1: is they have public toilets which everyone goes in and 624 00:37:16,360 --> 00:37:19,319 Speaker 1: does their business in, and they'll go in and they'll 625 00:37:19,400 --> 00:37:22,399 Speaker 1: roll around in the public toilet and get everyone sent 626 00:37:22,480 --> 00:37:26,759 Speaker 1: on them. And that's because you're basically this is your 627 00:37:26,840 --> 00:37:30,279 Speaker 1: identification card, your membership to the colony, where it's like 628 00:37:30,400 --> 00:37:34,040 Speaker 1: I'm part of this colony. Because I smell like everyone's poop, 629 00:37:34,640 --> 00:37:37,640 Speaker 1: and so when they smell each other, it's like, great, 630 00:37:37,800 --> 00:37:41,000 Speaker 1: I know that you're part of this colony. We have 631 00:37:41,080 --> 00:37:44,640 Speaker 1: no problems with each other because you smell like everyone's crap, 632 00:37:45,360 --> 00:37:48,400 Speaker 1: and so do I. And we love it because otherwise, 633 00:37:48,440 --> 00:37:51,520 Speaker 1: like sometimes these these big naked molerat colonies can like 634 00:37:52,080 --> 00:37:54,680 Speaker 1: intersect with each other, right, you have a different colony, 635 00:37:54,680 --> 00:37:57,520 Speaker 1: and then their tunnels intersect, and they might run into 636 00:37:57,960 --> 00:38:00,800 Speaker 1: a stranger, and how do they know it's a stranger 637 00:38:00,880 --> 00:38:03,279 Speaker 1: if they're they're blind and they all look like weird 638 00:38:03,280 --> 00:38:07,320 Speaker 1: little pink, wrinkly things. The smell like if it smells 639 00:38:07,520 --> 00:38:10,560 Speaker 1: like some other colonies communal toilet and I'm like, hey, 640 00:38:10,560 --> 00:38:13,680 Speaker 1: you're not you don't belong here, And then there's a conflict. 641 00:38:14,960 --> 00:38:18,640 Speaker 2: And so the different communal toilets smell different, like the 642 00:38:18,680 --> 00:38:22,200 Speaker 2: Ohio naked mole rats smell different from the California naked 643 00:38:22,239 --> 00:38:24,080 Speaker 2: mule rats, and they can tell. 644 00:38:23,960 --> 00:38:27,000 Speaker 1: Yeah, yeah, the Seven eleven toilets smell different from the 645 00:38:27,000 --> 00:38:27,920 Speaker 1: Harvey's toilets. 646 00:38:28,520 --> 00:38:30,440 Speaker 2: We all believe that, I believe. 647 00:38:33,080 --> 00:38:37,240 Speaker 1: But also even weirder is a way that the queen 648 00:38:37,440 --> 00:38:41,680 Speaker 1: enforces the hierarchy through poop. So one of the questions 649 00:38:41,960 --> 00:38:45,520 Speaker 1: is like, how we know that the presence of the 650 00:38:45,600 --> 00:38:50,279 Speaker 1: queen suppresses reproductive hormones in the females. So they have 651 00:38:50,480 --> 00:38:56,960 Speaker 1: this gonadotropin hormone that is suppressed, and it only develops 652 00:38:57,600 --> 00:39:00,160 Speaker 1: when the queen is removed from the colony or and 653 00:39:00,239 --> 00:39:03,080 Speaker 1: individuals removed from the colony. So there's all these females 654 00:39:03,120 --> 00:39:08,760 Speaker 1: and they can't reproduce because they are their hormones aren't 655 00:39:08,760 --> 00:39:12,359 Speaker 1: allowing them to reproduce, which seems to be enforced by 656 00:39:12,880 --> 00:39:17,799 Speaker 1: some kind of weird combination of social enforcement, potentially bullying 657 00:39:18,000 --> 00:39:23,640 Speaker 1: from the queen or her enforcers, but also potentially through 658 00:39:23,640 --> 00:39:28,400 Speaker 1: her poop. So naked roller routes regularly eat each other's poop. 659 00:39:28,719 --> 00:39:32,160 Speaker 1: This is a behavior that starts since their pups. Sometimes 660 00:39:32,200 --> 00:39:35,839 Speaker 1: they eat their own poop. It's not so uncommon for 661 00:39:36,000 --> 00:39:40,880 Speaker 1: rodents to do this because eating like they will digest, 662 00:39:40,920 --> 00:39:42,920 Speaker 1: they'll poop, and then if they re eat the poop, 663 00:39:42,960 --> 00:39:46,000 Speaker 1: they might be able to extract more nutrients from the poop. 664 00:39:46,239 --> 00:39:49,120 Speaker 1: Don't try this at home. We have a different digestive system. 665 00:39:49,160 --> 00:39:51,520 Speaker 1: You don't want to do that, but for them, it works, 666 00:39:51,719 --> 00:39:55,239 Speaker 1: and something that researchers found is that when workers eat 667 00:39:55,280 --> 00:39:59,000 Speaker 1: the queen's poop, it seems like it has a hormone 668 00:39:59,040 --> 00:40:03,239 Speaker 1: in it that causes them to go and take care 669 00:40:03,280 --> 00:40:06,880 Speaker 1: of the queen's pups. So there is like a brainwashing 670 00:40:07,000 --> 00:40:10,680 Speaker 1: hormone in the queen's poop that is telling these workers like, 671 00:40:10,880 --> 00:40:15,719 Speaker 1: go and babysit my kids, which is you know, this 672 00:40:15,800 --> 00:40:20,360 Speaker 1: is a whole method of communication that is just completely 673 00:40:20,440 --> 00:40:25,239 Speaker 1: separate from any hopefully any human experience. 674 00:40:25,680 --> 00:40:29,160 Speaker 2: Wow. Yeah, it's hard to imagine what that's even like 675 00:40:29,800 --> 00:40:32,600 Speaker 2: what it means for them and whether you know, they 676 00:40:32,600 --> 00:40:34,640 Speaker 2: could even explain it to us if we like develop 677 00:40:34,760 --> 00:40:37,600 Speaker 2: some amazing AI connection with these communities, is there a 678 00:40:37,640 --> 00:40:41,040 Speaker 2: way to translate these ideas into something that makes sense 679 00:40:41,040 --> 00:40:44,160 Speaker 2: to us? And you know, this is something like again 680 00:40:44,239 --> 00:40:48,239 Speaker 2: on Earth, developing the same biome as us and yet 681 00:40:48,320 --> 00:40:51,799 Speaker 2: having such a vastly different experience. You can use that 682 00:40:51,840 --> 00:40:54,560 Speaker 2: to try to like extrapolate what it might be like 683 00:40:54,719 --> 00:40:58,000 Speaker 2: to be a creature on another planet and how different 684 00:40:58,040 --> 00:41:00,560 Speaker 2: that sensorium could be in their social ste structure and 685 00:41:00,560 --> 00:41:03,360 Speaker 2: how that's all connected. And that's going to definitely affect 686 00:41:03,480 --> 00:41:06,759 Speaker 2: like the things they wonder about and the explanations they 687 00:41:06,800 --> 00:41:09,719 Speaker 2: accept and the way they describe the universe around them, 688 00:41:10,360 --> 00:41:15,000 Speaker 2: And so I think that we're hopelessly inadequate in extrapolating 689 00:41:15,200 --> 00:41:19,359 Speaker 2: to other species on Earth, and therefore, like deeply, it's 690 00:41:19,400 --> 00:41:22,600 Speaker 2: deeply impossible for us to anticipate what it could be 691 00:41:22,800 --> 00:41:26,120 Speaker 2: like to be an alien and how they might foster 692 00:41:26,560 --> 00:41:29,480 Speaker 2: and build explanations about the universe. 693 00:41:30,800 --> 00:41:33,400 Speaker 1: Yeah, exactly. And I mean, like Close Encounters of the 694 00:41:33,400 --> 00:41:36,200 Speaker 1: Third Kind would be a very different movie if those 695 00:41:36,239 --> 00:41:39,840 Speaker 1: aliens communicated through coop rather than a light show. 696 00:41:41,440 --> 00:41:44,239 Speaker 2: So the mash potatoes, they were kind of getting there 697 00:41:44,239 --> 00:41:45,799 Speaker 2: with the mashed potatoes. 698 00:41:45,320 --> 00:41:49,440 Speaker 1: You know. Yeah, but I just all I know is 699 00:41:49,520 --> 00:41:53,440 Speaker 1: the Simpsons version of that where Homer really wants to 700 00:41:53,560 --> 00:41:55,520 Speaker 1: go learn to be a clown at a circus, so 701 00:41:55,600 --> 00:41:59,680 Speaker 1: he's shaping his mashed potatoes in the shape of a circus. 702 00:42:00,440 --> 00:42:02,240 Speaker 1: All right, Well, we're going to take a quick break, 703 00:42:02,360 --> 00:42:04,799 Speaker 1: and when we get back, we're going to talk about 704 00:42:04,880 --> 00:42:09,880 Speaker 1: a couple of examples showing how strange our behavior could 705 00:42:10,120 --> 00:42:15,239 Speaker 1: seem to aliens and vice versa, using incomprehensible behavior of 706 00:42:15,280 --> 00:42:17,359 Speaker 1: a couple of animals, and then we'll play the Mystery 707 00:42:17,360 --> 00:42:23,399 Speaker 1: Animal sound game. All right, So I feel like one 708 00:42:23,400 --> 00:42:29,200 Speaker 1: thing that could potentially happen in a human alien cultural 709 00:42:29,239 --> 00:42:34,280 Speaker 1: crossover is that we do not understand why the heck 710 00:42:34,400 --> 00:42:37,480 Speaker 1: we're doing certain things right, Like our behaviors might seem 711 00:42:37,920 --> 00:42:43,200 Speaker 1: completely counterintuitive, self destructive, and strange to aliens, particularly if 712 00:42:43,200 --> 00:42:49,040 Speaker 1: they don't understand how we communicate. And one example of 713 00:42:49,080 --> 00:42:52,920 Speaker 1: this when we look at our own planet is the 714 00:42:53,000 --> 00:42:59,840 Speaker 1: habit of hermit crabs crawling en mass into a plastic 715 00:43:00,040 --> 00:43:03,719 Speaker 1: bottle or a glass jar and then dying and then 716 00:43:03,800 --> 00:43:06,439 Speaker 1: you'll find, yeah, you'll it's very sad. You'll find these 717 00:43:06,480 --> 00:43:10,560 Speaker 1: like glass jars full of dead hermit crabs. So it's 718 00:43:10,640 --> 00:43:13,640 Speaker 1: it's very weird behavior. It's like, did these hermit crabs 719 00:43:14,200 --> 00:43:18,239 Speaker 1: join like a cult? Are they are they all kind 720 00:43:18,280 --> 00:43:21,279 Speaker 1: of coming in? Is this like a crab thunderdome? Or 721 00:43:21,560 --> 00:43:23,960 Speaker 1: they came in and did combat to the death. Is 722 00:43:24,000 --> 00:43:27,000 Speaker 1: this a crab graveyard where they're all kind of going 723 00:43:27,160 --> 00:43:31,000 Speaker 1: off to this area to die? Uh, It's it seems 724 00:43:31,120 --> 00:43:35,680 Speaker 1: very mysterious, like not knowing anything about how crabs communicate, 725 00:43:35,800 --> 00:43:37,959 Speaker 1: Like can you come up with a guess of why 726 00:43:38,000 --> 00:43:41,759 Speaker 1: these hermit crabs are all going inside like on mask 727 00:43:41,880 --> 00:43:45,200 Speaker 1: going inside these bottles to die. 728 00:43:45,680 --> 00:43:47,160 Speaker 2: I don't know. It could be like a bug in 729 00:43:47,200 --> 00:43:50,440 Speaker 2: their system. Like hermit crabs don't. They exchange shells, and 730 00:43:50,440 --> 00:43:52,520 Speaker 2: they sometimes like give up a shell to move into 731 00:43:52,520 --> 00:43:54,880 Speaker 2: a bigger shell. So maybe they it seems like a 732 00:43:54,880 --> 00:43:58,200 Speaker 2: shell to them or something. That's my guess, that's it. 733 00:43:58,400 --> 00:44:01,359 Speaker 1: That's You're exactly on the right track. So that's exactly right. 734 00:44:02,280 --> 00:44:06,640 Speaker 1: And one of the ways they communicate in terms of 735 00:44:06,960 --> 00:44:10,360 Speaker 1: the exchange of shells is that when a hermit crab dies, 736 00:44:10,440 --> 00:44:14,680 Speaker 1: it lets off a particular odor as it's decaying, which 737 00:44:14,680 --> 00:44:19,360 Speaker 1: attracts other hermit crabs to its location. Because like for 738 00:44:19,600 --> 00:44:23,080 Speaker 1: some for us, right when we smell decay, we're like, 739 00:44:23,280 --> 00:44:27,640 Speaker 1: oh no, gross, stay away. That could be diseased. There 740 00:44:27,680 --> 00:44:30,239 Speaker 1: could be something dangerous there. To the hermit crab, it's 741 00:44:30,280 --> 00:44:35,759 Speaker 1: saying free house. So like they'll smell a dead hermit 742 00:44:35,800 --> 00:44:37,560 Speaker 1: crab and go like, hey, I should check out to 743 00:44:37,640 --> 00:44:43,200 Speaker 1: see if this dead guy's house fits me. And it's 744 00:44:43,440 --> 00:44:48,480 Speaker 1: unfortunately what happens with something unnatural right, like hermit crabs 745 00:44:48,480 --> 00:44:53,000 Speaker 1: did not co evolve with sprite bottles, is the hermit 746 00:44:53,040 --> 00:44:55,800 Speaker 1: crab will see the opening of a sprite bottle crawl inside, 747 00:44:55,800 --> 00:44:58,240 Speaker 1: maybe thinking it's a home, maybe thinking it's an interesting 748 00:44:58,320 --> 00:45:02,359 Speaker 1: little cranny to go into, and it can get in 749 00:45:02,440 --> 00:45:05,080 Speaker 1: because of the friction of the sand. Then once it's in, 750 00:45:05,160 --> 00:45:08,560 Speaker 1: it's all slippery, it's slick. It can't get back out, 751 00:45:08,880 --> 00:45:12,240 Speaker 1: so it dies, and then it gives off the odor 752 00:45:12,600 --> 00:45:15,239 Speaker 1: that another hermit crab is going like, oh, hey, that's 753 00:45:15,360 --> 00:45:18,279 Speaker 1: the smell of a dead crab. I don't sense any 754 00:45:18,520 --> 00:45:21,520 Speaker 1: danger necessarily. That just means a free house to me. 755 00:45:21,880 --> 00:45:24,960 Speaker 1: So then it goes and crawls inside the bottle, and 756 00:45:25,000 --> 00:45:29,160 Speaker 1: then it finds this dead hermit crab and it's like, great, 757 00:45:29,160 --> 00:45:31,000 Speaker 1: I'm gonna check out this free house. And then it 758 00:45:31,000 --> 00:45:33,080 Speaker 1: finds it can't get out of the bottle. And this 759 00:45:33,120 --> 00:45:35,240 Speaker 1: happens over and over again until you get a bottle 760 00:45:35,239 --> 00:45:39,399 Speaker 1: full of dead hermit crabs. And it's all because they're 761 00:45:40,520 --> 00:45:43,920 Speaker 1: communicating there thinking, and their communication is through this, like 762 00:45:44,960 --> 00:45:50,000 Speaker 1: you know, these chemoreceptive organs, and then their interpretation of 763 00:45:50,040 --> 00:45:52,560 Speaker 1: it is when they smell, you know, a bunch of 764 00:45:52,560 --> 00:45:55,799 Speaker 1: dead hermit crabs, it's not oh, that's probably dangerous. I 765 00:45:55,840 --> 00:45:59,080 Speaker 1: should not go over there. It's a bunch of free houses. 766 00:45:59,280 --> 00:46:01,520 Speaker 1: That's great. I'll go over there and check out if 767 00:46:01,560 --> 00:46:03,160 Speaker 1: I can get a free house. So you have this 768 00:46:03,600 --> 00:46:06,960 Speaker 1: feedback loop for these poor little crabs who are kind 769 00:46:06,960 --> 00:46:11,279 Speaker 1: of helpless in the face of their biology in the 770 00:46:11,320 --> 00:46:14,280 Speaker 1: way they sense the world, and get stuck in this trap. 771 00:46:15,360 --> 00:46:18,960 Speaker 2: It's like a bunch of millennials looking for an apartment. 772 00:46:19,000 --> 00:46:21,080 Speaker 2: They're like, oh, maybe somebody died in there, let's go 773 00:46:21,160 --> 00:46:23,680 Speaker 2: in if it's available, and then they die, and it 774 00:46:23,840 --> 00:46:25,080 Speaker 2: just leads to more and more. 775 00:46:25,480 --> 00:46:29,080 Speaker 1: Right, Yeah, yeah, exactly, there's it's got There's got to 776 00:46:29,080 --> 00:46:34,399 Speaker 1: be like some corror movie where it's like teenagers keep 777 00:46:34,440 --> 00:46:41,040 Speaker 1: going to the same haunted place, the same scary, scary house, 778 00:46:42,120 --> 00:46:45,000 Speaker 1: and then they live stream in and it makes even 779 00:46:45,040 --> 00:46:49,960 Speaker 1: more teenagers go over to see what exactly and other 780 00:46:50,160 --> 00:46:52,880 Speaker 1: So another example of this of the importance of chemical 781 00:46:52,880 --> 00:46:57,000 Speaker 1: communication and how it could result in really bizarre behaviors 782 00:46:57,000 --> 00:47:00,319 Speaker 1: that are really hard to interpret once before you stand 783 00:47:00,360 --> 00:47:03,640 Speaker 1: what they do. It's like ants will sometimes army ants 784 00:47:03,680 --> 00:47:08,640 Speaker 1: specifically will sometimes start marching in a circle, and is 785 00:47:09,440 --> 00:47:12,080 Speaker 1: it's like just this endless circle that they're marching in 786 00:47:12,160 --> 00:47:15,480 Speaker 1: until they die of exhaustion, which again just seems like 787 00:47:15,719 --> 00:47:17,719 Speaker 1: why are these ants doing this? Is this some kind 788 00:47:17,760 --> 00:47:21,600 Speaker 1: of weird ant cult. Do they have an ant religion 789 00:47:22,040 --> 00:47:26,719 Speaker 1: or they're sacrificing themselves to an ant god. Well, no, 790 00:47:26,880 --> 00:47:30,920 Speaker 1: as it turns out, they are army. Ants do not 791 00:47:31,000 --> 00:47:34,760 Speaker 1: have good eyesight, they're mostly blind, so they're completely dependent 792 00:47:34,880 --> 00:47:38,879 Speaker 1: on pheromone communication. And when they're on an ant trail, 793 00:47:38,920 --> 00:47:42,200 Speaker 1: it happens is another ant is basically, as it's making 794 00:47:42,280 --> 00:47:45,359 Speaker 1: a trail, it lays down a small amount of pheromones 795 00:47:45,840 --> 00:47:48,040 Speaker 1: that may or may not compel another ant to come 796 00:47:48,120 --> 00:47:51,200 Speaker 1: join it. But the stronger the signal, the more like 797 00:47:51,239 --> 00:47:53,840 Speaker 1: the ant is to follow it. And so this allows 798 00:47:53,880 --> 00:47:56,360 Speaker 1: the ants to have this communication style where it's like 799 00:47:56,760 --> 00:47:59,400 Speaker 1: voting with their little tiny ant feet and their pheromones. 800 00:47:59,400 --> 00:48:01,680 Speaker 1: So the more ants go down and trail, it's like, ah, 801 00:48:01,719 --> 00:48:04,160 Speaker 1: this is the right trail to go down, because there's 802 00:48:04,480 --> 00:48:09,120 Speaker 1: this like democracy of the ants marching down this trail, 803 00:48:09,200 --> 00:48:12,319 Speaker 1: laying down pheromones, it makes that signal really strong. When 804 00:48:12,360 --> 00:48:16,640 Speaker 1: that trail gets interrupted, and then the ants sometimes like 805 00:48:16,719 --> 00:48:21,279 Speaker 1: loop back on themselves. What can happen is essentially this 806 00:48:21,440 --> 00:48:25,200 Speaker 1: marching circle where they get confused, they lose the trail, 807 00:48:25,640 --> 00:48:30,320 Speaker 1: they start to follow the old pheromone trail in this loop, 808 00:48:31,040 --> 00:48:35,760 Speaker 1: and because they're all following it, and the more ants 809 00:48:35,760 --> 00:48:38,279 Speaker 1: that make the same mistake, the stronger the signal gets, 810 00:48:38,280 --> 00:48:40,439 Speaker 1: and the more ants join in, and then this even 811 00:48:40,520 --> 00:48:43,200 Speaker 1: stronger the signal gets and then you get this like 812 00:48:43,239 --> 00:48:47,719 Speaker 1: death spiral, and we would have no idea why they're 813 00:48:47,760 --> 00:48:53,440 Speaker 1: doing this very counterintuitive behavior without understanding this invisible thing, like, 814 00:48:53,760 --> 00:48:57,439 Speaker 1: you know, imagine a human being before we understood what 815 00:48:57,520 --> 00:48:59,920 Speaker 1: ant pheromones are. It just seems like the ants are 816 00:49:00,160 --> 00:49:03,040 Speaker 1: possessed by demons, right and doing a little circle. 817 00:49:03,680 --> 00:49:07,279 Speaker 2: Yeah, exactly, And it's hard to imagine doing that. But 818 00:49:07,320 --> 00:49:10,360 Speaker 2: then you know, like obviously humans are affected by trends, 819 00:49:10,440 --> 00:49:13,200 Speaker 2: and you know, all the teenagers in my life are 820 00:49:13,200 --> 00:49:15,600 Speaker 2: saying the same six to seven joke over and over again, 821 00:49:16,160 --> 00:49:21,440 Speaker 2: death marching to the end of humor, you know. Yeah, 822 00:49:21,000 --> 00:49:24,080 Speaker 2: And so you know, back to the context of aliens, 823 00:49:24,160 --> 00:49:27,040 Speaker 2: like it could be so foreign to us why they're 824 00:49:27,040 --> 00:49:29,000 Speaker 2: doing what they're doing and what it means to them, 825 00:49:29,040 --> 00:49:31,800 Speaker 2: and how to crack into that. It's going to be 826 00:49:31,800 --> 00:49:32,680 Speaker 2: a real challenge. 827 00:49:33,440 --> 00:49:36,160 Speaker 1: Exactly. Aliens take one look at us, see how many 828 00:49:36,239 --> 00:49:38,200 Speaker 1: latle boo boos we have, and just assume that that 829 00:49:38,320 --> 00:49:42,359 Speaker 1: must be their offspring, right, Like, why else would they 830 00:49:42,440 --> 00:49:46,799 Speaker 1: propagate so many lat booboos? All right, so before we go, 831 00:49:46,840 --> 00:49:48,319 Speaker 1: we got to play a little game called Guests Who 832 00:49:48,440 --> 00:49:50,920 Speaker 1: Squawk of the Mystery Animal Sound Game. Every week I 833 00:49:50,920 --> 00:49:52,800 Speaker 1: play Mystery Animal sound and you, the guests, need the 834 00:49:52,880 --> 00:49:56,560 Speaker 1: listener guess who is making that sound. Last week's hint 835 00:49:56,600 --> 00:50:04,080 Speaker 1: was this ret row. All right, so Daniel, you got 836 00:50:04,120 --> 00:50:06,920 Speaker 1: any guesses as to who could be making that beautiful sound. 837 00:50:08,160 --> 00:50:10,440 Speaker 2: M that sounds to me like a bird. 838 00:50:11,680 --> 00:50:16,320 Speaker 1: It's not quite a bird. It's the bird of the woods, 839 00:50:16,360 --> 00:50:18,200 Speaker 1: also known as the road deer. 840 00:50:21,360 --> 00:50:21,760 Speaker 2: Or something. 841 00:50:22,000 --> 00:50:25,040 Speaker 1: No, no, it's the it's the bird. It's the bird 842 00:50:25,080 --> 00:50:28,759 Speaker 1: of the ungulate world, which is the road deer. No, 843 00:50:28,880 --> 00:50:33,759 Speaker 1: it's it sounds I get bird because there's kind of 844 00:50:33,760 --> 00:50:36,480 Speaker 1: a screeching sound. But yeah, road deer. It's found all 845 00:50:36,480 --> 00:50:41,640 Speaker 1: over continental Europe and it barks when it's alarmed. I 846 00:50:41,680 --> 00:50:44,560 Speaker 1: feel like it's interesting because when we see deer, we 847 00:50:44,680 --> 00:50:49,200 Speaker 1: kind of imagine them as these beautiful, graceful, silent creatures 848 00:50:49,280 --> 00:50:53,520 Speaker 1: who do not make any kind of upsetting noise because 849 00:50:53,560 --> 00:50:55,960 Speaker 1: you look at Bambie and they're all so gentle and 850 00:50:57,320 --> 00:51:01,920 Speaker 1: but yeah, they can they can be quite noisy when 851 00:51:01,960 --> 00:51:05,520 Speaker 1: they're defending themselves, when they're alarmed, when they're defending their territory. 852 00:51:07,640 --> 00:51:10,759 Speaker 1: When this is just a fun little fact about roe deer. 853 00:51:10,800 --> 00:51:13,520 Speaker 1: When they mate, they chase each other round in rings, 854 00:51:13,840 --> 00:51:18,799 Speaker 1: which leaves behind sort of deer crop circles. So there's 855 00:51:18,840 --> 00:51:21,319 Speaker 1: these like they call them row rings. But if you 856 00:51:21,360 --> 00:51:23,400 Speaker 1: didn't know it was caused by deer, it'd be like, 857 00:51:23,440 --> 00:51:27,160 Speaker 1: are there aliens in the woods like creating these little circles? 858 00:51:27,400 --> 00:51:31,759 Speaker 2: Oh and now I get the hint, got it all right? 859 00:51:31,920 --> 00:51:33,839 Speaker 2: That made me think of dogs and let me down 860 00:51:33,880 --> 00:51:36,360 Speaker 2: the wrong. Very tricky kid, you very tricky. 861 00:51:36,440 --> 00:51:40,160 Speaker 1: I know, I know, I'm sneaky like that. All right, 862 00:51:40,239 --> 00:51:42,960 Speaker 1: onto this week's mystery animals sound. The hint is this. 863 00:51:43,280 --> 00:51:45,800 Speaker 1: It may sound like a cat call, but I assure 864 00:51:45,840 --> 00:51:53,840 Speaker 1: you this animal wants nothing to do with cats. All right, Danielle, 865 00:51:53,840 --> 00:51:54,720 Speaker 1: you got any guesses? 866 00:51:55,239 --> 00:51:57,280 Speaker 2: I'm gonna have to go for bird again. That sounds 867 00:51:57,280 --> 00:52:00,120 Speaker 2: like a bird? Am I wrong? Twice? 868 00:52:00,400 --> 00:52:04,080 Speaker 1: Well? We will find out next week on Creature Feature. 869 00:52:04,120 --> 00:52:07,240 Speaker 1: If you think you know who is making that woo 870 00:52:07,239 --> 00:52:10,040 Speaker 1: woo sound, you can write to me at Creature Feature 871 00:52:10,080 --> 00:52:13,600 Speaker 1: Pod at gmail dot com. Daniel, thanks so much for 872 00:52:13,800 --> 00:52:16,000 Speaker 1: coming on the show today. Where can people find you 873 00:52:16,040 --> 00:52:17,360 Speaker 1: and where can people buy your book? 874 00:52:18,080 --> 00:52:21,160 Speaker 2: Yeah, you can buy my book anywhere people sell books, 875 00:52:21,160 --> 00:52:25,240 Speaker 2: but also go to the website www dot Alienspeakphysics dot com. 876 00:52:25,280 --> 00:52:27,440 Speaker 2: If you order it before the release date, you can 877 00:52:27,440 --> 00:52:30,440 Speaker 2: get a free set of alien stickers drawn by my 878 00:52:30,600 --> 00:52:34,480 Speaker 2: friend and co author Andy Warner, who's a gifted cartoonist, 879 00:52:35,000 --> 00:52:37,080 Speaker 2: So go check it out. I'm also the co host 880 00:52:37,120 --> 00:52:40,880 Speaker 2: of Daniel and Kelly's Extraordinary Universe by iHeartRadio, which you 881 00:52:40,880 --> 00:52:44,400 Speaker 2: can find on all nice podcast platforms. And it's been 882 00:52:44,400 --> 00:52:46,719 Speaker 2: a pleasure to talk to you about aliens. Thank you 883 00:52:46,800 --> 00:52:47,680 Speaker 2: very much, Katie. 884 00:52:48,040 --> 00:52:51,760 Speaker 1: Maybe somedays aliens will read this book and be like, Nah, Daniel, 885 00:52:51,800 --> 00:52:54,640 Speaker 1: ye got it all wrong. We understand English. 886 00:52:54,800 --> 00:52:57,360 Speaker 2: Come and tell me how wrong I got it. Aliens. 887 00:52:57,440 --> 00:53:00,000 Speaker 2: I want to hear it. I can't even guess birds 888 00:53:00,160 --> 00:53:00,719 Speaker 2: versus dear. 889 00:53:02,719 --> 00:53:04,520 Speaker 1: All right, Well, thank you so much for listening. 890 00:53:04,960 --> 00:53:05,080 Speaker 3: Uh. 891 00:53:05,440 --> 00:53:08,120 Speaker 1: If you have any questions about animals, you can write 892 00:53:08,120 --> 00:53:10,640 Speaker 1: to me at Creature feature Pod at gmail dot com. 893 00:53:10,680 --> 00:53:13,239 Speaker 1: Thanks to the Space Coassics for their super awesome song 894 00:53:13,600 --> 00:53:16,799 Speaker 1: XO Lumina. Creature features a production of iHeartRadio. For more 895 00:53:16,800 --> 00:53:19,279 Speaker 1: podcasts like the one you just heard, visit the iHeartRadio 896 00:53:19,320 --> 00:53:21,640 Speaker 1: ap Apple podcasts, or Hey, guess what one of you 897 00:53:21,840 --> 00:53:24,080 Speaker 1: listen to your favorite shows. I'm not your mother. I 898 00:53:24,120 --> 00:53:27,160 Speaker 1: can't tell you what to do. Uh, but you know 899 00:53:27,280 --> 00:53:30,239 Speaker 1: if you always wear clean underwear just in case you 900 00:53:30,320 --> 00:53:32,759 Speaker 1: get abducted by aliens, you don't want to be embarrassed. 901 00:53:33,360 --> 00:53:36,040 Speaker 1: See you next Wednesday. 902 00:53:37,000 --> 00:53:38,480 Speaker 2: I gotta go change mind to wear hold on