1 00:00:07,800 --> 00:00:12,560 Speaker 1: One mom gives birth to two species. Hit the news today, Evolution, 2 00:00:13,080 --> 00:00:16,040 Speaker 1: You're crazy. That's all I have to say. 3 00:00:16,640 --> 00:00:20,720 Speaker 2: Do physicists see the universe in their mind's eye or 4 00:00:20,840 --> 00:00:24,760 Speaker 2: is it easier to understand it if they're mentally blind. 5 00:00:25,120 --> 00:00:27,600 Speaker 1: Might's live on your face and make there at night? 6 00:00:28,200 --> 00:00:31,000 Speaker 1: Why would evolution do that? It's just not right. 7 00:00:31,560 --> 00:00:35,080 Speaker 2: Whatever questions keep you up at night, Daniel and Kelly's 8 00:00:35,080 --> 00:00:37,680 Speaker 2: answers will make it all right. 9 00:00:38,120 --> 00:00:40,720 Speaker 1: Or it'll creepy out even more. Welcome to Daniel and 10 00:00:40,840 --> 00:00:42,400 Speaker 1: Kelly's Extraordinary Universe. 11 00:00:55,720 --> 00:00:58,400 Speaker 2: Hi. I'm Daniel, I'm a particle physicist, and I think 12 00:00:58,440 --> 00:01:00,959 Speaker 2: the universe is beautiful and creepy. 13 00:01:01,480 --> 00:01:04,360 Speaker 1: Hi. I'm Kelly Winnersmith. I study parasites and space, and 14 00:01:04,440 --> 00:01:07,360 Speaker 1: I think the universe is also beautiful and creepy. And 15 00:01:07,400 --> 00:01:10,600 Speaker 1: sometimes creepy is beautiful and it's all complicated. 16 00:01:13,720 --> 00:01:16,080 Speaker 2: Have you met a parasite, Kelly where you're like, hmm, 17 00:01:16,400 --> 00:01:19,399 Speaker 2: that's too gross. I wish this didn't exist in the universe. 18 00:01:19,600 --> 00:01:24,280 Speaker 2: Or can you find some beauty in every single riggly, crawling, 19 00:01:24,400 --> 00:01:25,400 Speaker 2: disgusting thing. 20 00:01:25,800 --> 00:01:29,679 Speaker 1: I can find some beauty in everything, but I would 21 00:01:29,840 --> 00:01:33,640 Speaker 1: rather not be in the room with ascris lumbricoids. It's 22 00:01:33,680 --> 00:01:38,920 Speaker 1: a really long, really thick nematod. It really grosses me out. 23 00:01:39,240 --> 00:01:42,319 Speaker 1: And when we talked about screwworm a couple of weeks back, 24 00:01:42,360 --> 00:01:43,840 Speaker 1: maybe come a month's back now. 25 00:01:43,840 --> 00:01:45,319 Speaker 2: I'm still scarred from that conversation. 26 00:01:45,400 --> 00:01:48,200 Speaker 1: Yes, well, I looked at the photos and that. 27 00:01:48,280 --> 00:01:50,240 Speaker 2: Was don't do that, people, no nobody else do that. 28 00:01:50,280 --> 00:01:52,480 Speaker 1: We actually had a listener writers to say they did that, 29 00:01:52,520 --> 00:01:54,480 Speaker 1: and they were like, I should have listened to you 30 00:01:54,520 --> 00:01:55,480 Speaker 1: when you told me not to. 31 00:01:56,680 --> 00:01:59,600 Speaker 2: I have not googled screwworm, and I think I've protected 32 00:01:59,640 --> 00:02:00,880 Speaker 2: my men health for that reason. 33 00:02:01,080 --> 00:02:05,040 Speaker 1: Yes, yeah, do not google screwworm. It is super gross. So, yeah, 34 00:02:05,040 --> 00:02:06,640 Speaker 1: there's some parasites that I don't want to be in 35 00:02:06,680 --> 00:02:09,400 Speaker 1: the room with. I once watched a presentation. I was 36 00:02:09,400 --> 00:02:12,640 Speaker 1: studying a parasite that lives on the brains of California, killyfish, 37 00:02:12,800 --> 00:02:15,680 Speaker 1: and so I spent like literally all day working with brains. 38 00:02:15,919 --> 00:02:18,160 Speaker 1: But then I was watching an anthropology talk and they 39 00:02:18,160 --> 00:02:20,920 Speaker 1: went to a country that was like selling monkey brains, 40 00:02:20,919 --> 00:02:24,000 Speaker 1: and there was a table filled with monkey brains and 41 00:02:24,040 --> 00:02:26,120 Speaker 1: I was looking at just the picture and the room 42 00:02:26,240 --> 00:02:28,840 Speaker 1: started to spin. WHOA, and I was like, I'm gonna 43 00:02:28,840 --> 00:02:31,080 Speaker 1: throw up, and I was like, but I can't have 44 00:02:31,160 --> 00:02:34,600 Speaker 1: everybody see me throwing up over brains. I work on brains, 45 00:02:34,960 --> 00:02:38,040 Speaker 1: and anyway, I like just kind of looked down and 46 00:02:38,120 --> 00:02:40,799 Speaker 1: hoped nobody could see me, and I managed to get 47 00:02:40,840 --> 00:02:43,239 Speaker 1: through it. But it's weird the things that set us off. 48 00:02:43,560 --> 00:02:46,000 Speaker 2: The universe certainly sets us off, and I have the 49 00:02:46,000 --> 00:02:49,360 Speaker 2: same kind of reaction to, you know, astrophysical stuff. On 50 00:02:49,400 --> 00:02:52,079 Speaker 2: one hand, a supernova is amazing. On the other hand, 51 00:02:52,120 --> 00:02:55,320 Speaker 2: it could like sterilize a whole portion of the galaxy 52 00:02:55,520 --> 00:03:00,480 Speaker 2: with incredible radiation. Right, it's terrifying. The universe is beautiful 53 00:03:00,520 --> 00:03:05,760 Speaker 2: and incredible, but also violent and destructive and crazy. So 54 00:03:05,960 --> 00:03:08,600 Speaker 2: it is an extraordinary universe we live in, isn't it. 55 00:03:08,600 --> 00:03:11,720 Speaker 1: It is? And it's also, i gotta say, a confusing 56 00:03:11,880 --> 00:03:15,120 Speaker 1: universe we live in. And that kind of brings us 57 00:03:15,160 --> 00:03:18,600 Speaker 1: to our first question, which was really hard to unpack. 58 00:03:18,880 --> 00:03:22,560 Speaker 1: This question was an amazing question from a listener, Jamie, 59 00:03:22,600 --> 00:03:24,880 Speaker 1: who often writes us and sends us articles to be 60 00:03:25,000 --> 00:03:30,680 Speaker 1: like does this make any sense? And it's always fun 61 00:03:30,680 --> 00:03:34,400 Speaker 1: to dig in and this paper was particularly fun. So 62 00:03:35,240 --> 00:03:40,680 Speaker 1: the headline is one mother for two species via obligate 63 00:03:40,840 --> 00:03:43,080 Speaker 1: cross species cloning in ants. 64 00:03:43,680 --> 00:03:46,920 Speaker 2: Well, one mom keeping birth to two different species. Thought 65 00:03:46,920 --> 00:03:50,880 Speaker 2: that was impossible. Anyway, let's hear Jamie's question and then 66 00:03:51,000 --> 00:03:51,480 Speaker 2: dig in. 67 00:03:52,080 --> 00:03:55,400 Speaker 3: Hello, professors, this is Jamie Feffer from Westfield, New Jersey. 68 00:03:55,960 --> 00:03:58,800 Speaker 3: I would be grateful for your help understanding an article 69 00:03:58,880 --> 00:04:01,880 Speaker 3: that I read in the New York Time. It reports 70 00:04:01,880 --> 00:04:05,520 Speaker 3: on a study in Nature where scientists said that queens 71 00:04:05,520 --> 00:04:09,360 Speaker 3: from one species of ant produced male offspring of a 72 00:04:09,400 --> 00:04:10,360 Speaker 3: different species. 73 00:04:10,920 --> 00:04:14,400 Speaker 4: The scientist then said that it's like a human having chimp. 74 00:04:14,160 --> 00:04:17,839 Speaker 3: Babies and then using the babies as a source of sperm, 75 00:04:17,920 --> 00:04:21,360 Speaker 3: for giving birth to human chimp hybrids as a source 76 00:04:21,400 --> 00:04:21,880 Speaker 3: of labor. 77 00:04:22,680 --> 00:04:25,359 Speaker 4: What on earth is going on here? Please? It sounds 78 00:04:25,400 --> 00:04:28,520 Speaker 4: like a chapter from one of professor Kelly's books. Thank 79 00:04:28,560 --> 00:04:29,280 Speaker 4: you very much. 80 00:04:29,800 --> 00:04:33,040 Speaker 2: All right, Kelly, so set us up for why this 81 00:04:33,279 --> 00:04:37,040 Speaker 2: is a fascinating question. My understanding of what a species 82 00:04:37,160 --> 00:04:39,839 Speaker 2: means is that individuals can mate and give birth to 83 00:04:39,960 --> 00:04:43,800 Speaker 2: like live offspring that isn't sterile. And so how can 84 00:04:43,800 --> 00:04:46,560 Speaker 2: you give birth to two different species? How's that possible? 85 00:04:46,680 --> 00:04:49,120 Speaker 1: Yeah? It's crazy, right, So okay, so you can get 86 00:04:49,160 --> 00:04:51,880 Speaker 1: like a donkey and a horse, they can mate together 87 00:04:52,000 --> 00:04:55,360 Speaker 1: and make a mule, and the mule is sterile. And 88 00:04:55,400 --> 00:04:58,800 Speaker 1: so you can get like pretty distantly related species that 89 00:04:58,920 --> 00:05:01,920 Speaker 1: mate and produce something different, like for. 90 00:05:01,880 --> 00:05:06,520 Speaker 2: Example, my dog has Chihuahua and German shepherd ancestry, and 91 00:05:06,560 --> 00:05:09,680 Speaker 2: nobody knows how that happened. And I also won't suggest 92 00:05:09,760 --> 00:05:12,520 Speaker 2: googling that, but you know it did happen and he exists. 93 00:05:12,600 --> 00:05:14,599 Speaker 1: Yeah, yeah, yeah, right, don't think too hard about it. 94 00:05:14,680 --> 00:05:19,240 Speaker 1: But so those are different breeds, not different species, and 95 00:05:19,279 --> 00:05:21,479 Speaker 1: so that the equivalent here would be like you know, 96 00:05:21,880 --> 00:05:25,720 Speaker 1: so I gave birth to two human children, it would 97 00:05:25,760 --> 00:05:28,240 Speaker 1: be like I gave birth to one human children and 98 00:05:28,240 --> 00:05:31,960 Speaker 1: then the next one was a chimpanzee. And and that's 99 00:05:32,440 --> 00:05:33,880 Speaker 1: confusing and unexpected. 100 00:05:34,200 --> 00:05:36,200 Speaker 2: I mean, you always expect every child is going to 101 00:05:36,240 --> 00:05:37,920 Speaker 2: be different, but not that different, that's. 102 00:05:37,839 --> 00:05:41,159 Speaker 1: Right, that's right, that's pretty different. And the species, so 103 00:05:41,200 --> 00:05:44,600 Speaker 1: we're talking about ants in this example, and species one, 104 00:05:44,720 --> 00:05:47,440 Speaker 1: this is the species that gives birth to two species. 105 00:05:47,960 --> 00:05:51,880 Speaker 1: She the queens not only give birth to their own species, 106 00:05:51,920 --> 00:05:54,600 Speaker 1: as you would expect, but they're also able to give 107 00:05:54,640 --> 00:05:59,480 Speaker 1: birth to males of a different species that they've been 108 00:05:59,560 --> 00:06:02,000 Speaker 1: separated from for five million years. 109 00:06:02,440 --> 00:06:05,520 Speaker 2: Wow. All right, so this is like dogs give birth 110 00:06:05,560 --> 00:06:07,200 Speaker 2: to dogs and occasionally a cat. 111 00:06:07,760 --> 00:06:10,320 Speaker 1: Yes, right, I mean I don't know how long dogs 112 00:06:10,320 --> 00:06:12,600 Speaker 1: and cats diverge. That's probably more than five million years. 113 00:06:12,640 --> 00:06:15,680 Speaker 1: But yes, your point stands, and so okay, so here's 114 00:06:15,720 --> 00:06:20,760 Speaker 1: what's happening. So first, aunt mating systems are crazy, right, 115 00:06:21,080 --> 00:06:23,240 Speaker 1: and we're not going to go into loads of detail 116 00:06:23,400 --> 00:06:26,160 Speaker 1: because it's super complicated. But what you need to know 117 00:06:27,040 --> 00:06:30,400 Speaker 1: is that females are diploids. So what that means is 118 00:06:30,400 --> 00:06:33,200 Speaker 1: that they have two sets of chromosomes, just like humans. 119 00:06:33,240 --> 00:06:37,080 Speaker 1: We have two sets of chromosomes, right, But to make males, 120 00:06:37,640 --> 00:06:42,120 Speaker 1: they only have one set of chromosomes. So a female 121 00:06:42,200 --> 00:06:44,360 Speaker 1: doesn't have to mate with another male. If she wants 122 00:06:44,440 --> 00:06:47,720 Speaker 1: to lay dude eggs, she just takes one set of 123 00:06:47,760 --> 00:06:50,880 Speaker 1: her chromosomes, sticks them in the egg, and now you've 124 00:06:50,880 --> 00:06:53,360 Speaker 1: got males. So she doesn't have to mate. She can 125 00:06:53,360 --> 00:06:54,240 Speaker 1: make males on her own. 126 00:06:54,279 --> 00:06:56,599 Speaker 2: But to make a female she needs a contribution from 127 00:06:56,600 --> 00:06:57,880 Speaker 2: another member of her species. 128 00:06:58,120 --> 00:07:01,320 Speaker 1: That's right, So to make a female worker, she needs 129 00:07:01,320 --> 00:07:02,440 Speaker 1: to mate with another male. 130 00:07:02,680 --> 00:07:05,760 Speaker 2: But having these complicated relationships between the parents and the kids, 131 00:07:05,800 --> 00:07:09,400 Speaker 2: doesn't that mean that like the siblings relationships are complicated, 132 00:07:09,520 --> 00:07:13,760 Speaker 2: and like your evolutionary interests are intermingled in complicated ways. 133 00:07:13,800 --> 00:07:16,960 Speaker 2: If I remember, like aunts have really complicated sibling math. 134 00:07:17,120 --> 00:07:19,960 Speaker 1: Yeah they do, Okay, So the bottom line is that 135 00:07:20,000 --> 00:07:23,560 Speaker 1: the sisters share about seventy five percent of their genetic 136 00:07:23,560 --> 00:07:27,040 Speaker 1: material with each other, whereas usually sisters share about fifty percent. 137 00:07:27,200 --> 00:07:29,800 Speaker 2: So like human sisters share fifty percent, you're saying. 138 00:07:29,680 --> 00:07:32,760 Speaker 1: That's right, yeah, and aunt sisters share seventy five percent. 139 00:07:32,880 --> 00:07:36,400 Speaker 1: And we think that this plays a role and why 140 00:07:36,440 --> 00:07:39,120 Speaker 1: ant colonies work so well together. So you can think 141 00:07:39,160 --> 00:07:42,080 Speaker 1: of aunt colonies as like a super organism. You've got 142 00:07:42,120 --> 00:07:44,760 Speaker 1: the queen who's laying a bunch of eggs, and then 143 00:07:44,880 --> 00:07:48,600 Speaker 1: all of the females work to support the queen, and 144 00:07:49,160 --> 00:07:53,640 Speaker 1: you would maybe not expect such selfless behavior unless individuals 145 00:07:53,720 --> 00:07:56,480 Speaker 1: were super closely related to each other, which means that 146 00:07:56,520 --> 00:07:59,280 Speaker 1: when the queen is making a lot more babies, they're 147 00:07:59,360 --> 00:08:02,200 Speaker 1: essentially making individuals who are very genetically similar to you. 148 00:08:02,360 --> 00:08:05,600 Speaker 1: And so from a genetic standpoint and from an evolutionary standpoint, 149 00:08:05,840 --> 00:08:07,880 Speaker 1: this is great news. So maybe you're willing to not 150 00:08:08,000 --> 00:08:11,040 Speaker 1: mate because your mom is making so many super genetically 151 00:08:11,120 --> 00:08:13,360 Speaker 1: related sisters and it's awesome. Does that kind of make sense? 152 00:08:13,760 --> 00:08:16,679 Speaker 2: Mm hmmm, that makes sense. Yeah, Okay, so that explains 153 00:08:16,760 --> 00:08:18,640 Speaker 2: like how the siblings are related to each other. Why 154 00:08:18,640 --> 00:08:20,440 Speaker 2: don't we need to understand that to understand how you 155 00:08:20,480 --> 00:08:22,640 Speaker 2: can give birth to another kind of species? 156 00:08:22,960 --> 00:08:25,000 Speaker 1: Okay, So the thing that you want to know is 157 00:08:25,000 --> 00:08:27,800 Speaker 1: that this ant that was all over the news recently, 158 00:08:28,440 --> 00:08:32,000 Speaker 1: when she's giving birth to a new species, she's giving 159 00:08:32,080 --> 00:08:37,000 Speaker 1: birth to sons in particular. Okay, And so here's what happened. 160 00:08:37,040 --> 00:08:40,160 Speaker 1: If you're in Europe and in Asia, you will find 161 00:08:40,360 --> 00:08:43,280 Speaker 1: these two species of ants. One of them is called 162 00:08:43,600 --> 00:08:48,000 Speaker 1: Mezsor ibericus, and one is Mesor structor. But we're never 163 00:08:48,080 --> 00:08:49,480 Speaker 1: going to keep those straight, so I'm going to call 164 00:08:49,520 --> 00:08:54,559 Speaker 1: them species one that's Ibericus and species two structor. All right, 165 00:08:55,040 --> 00:08:58,640 Speaker 1: In part of their range they overlap, and in part 166 00:08:58,679 --> 00:09:01,400 Speaker 1: of their range they don't. So there's some areas where 167 00:09:01,400 --> 00:09:04,040 Speaker 1: you just find species one, some areas where you just 168 00:09:04,080 --> 00:09:07,360 Speaker 1: find species two, and some areas where you find colonies 169 00:09:07,360 --> 00:09:10,640 Speaker 1: of species one and species two. In addition to all 170 00:09:10,720 --> 00:09:15,720 Speaker 1: of the ant reproductive weirdness with the females being diploid 171 00:09:15,720 --> 00:09:20,840 Speaker 1: and the males being haploid, this system has another weird trait, 172 00:09:20,880 --> 00:09:26,679 Speaker 1: which is called sperm parasitism. So here's what happens. The 173 00:09:26,720 --> 00:09:32,520 Speaker 1: workers in the nest are females, but instead of mom 174 00:09:32,840 --> 00:09:36,520 Speaker 1: mating with a male of her species, mom mates with 175 00:09:36,640 --> 00:09:40,679 Speaker 1: a male of a different species. Right, so they're closely 176 00:09:40,720 --> 00:09:42,880 Speaker 1: related enough that they can still mate with each other, 177 00:09:42,960 --> 00:09:47,680 Speaker 1: but they produce I believe, infertile offspring that become workers. 178 00:09:48,200 --> 00:09:50,559 Speaker 1: And so why would that evolve. The reason we think 179 00:09:50,559 --> 00:09:53,560 Speaker 1: that that evolved is because, yes, it's nice that all 180 00:09:53,559 --> 00:09:56,120 Speaker 1: the sisters are seventy five percent related to each other. 181 00:09:56,600 --> 00:09:58,920 Speaker 1: But every once in a while, one of the workers 182 00:09:58,960 --> 00:10:00,840 Speaker 1: will get it in their head and I'm being super 183 00:10:00,920 --> 00:10:03,200 Speaker 1: anthromorphic here, but they'll get it in their heads that 184 00:10:03,320 --> 00:10:05,440 Speaker 1: maybe it would be better if they just laid their 185 00:10:05,480 --> 00:10:08,920 Speaker 1: own eggs. And now you've got a competitor with the queen. 186 00:10:09,880 --> 00:10:13,640 Speaker 1: But if all of your workers are these hybrids that 187 00:10:13,760 --> 00:10:17,560 Speaker 1: are sterile, they can't make their own eggs anymore. And 188 00:10:17,640 --> 00:10:21,599 Speaker 1: so the queen essentially has this extra layer of control 189 00:10:21,960 --> 00:10:25,280 Speaker 1: over her colony because none of her workers are even 190 00:10:25,400 --> 00:10:29,320 Speaker 1: able to compete with her. It's just not even a question. Yeah, 191 00:10:29,360 --> 00:10:31,640 Speaker 1: And so there are you know, a handful of different 192 00:10:31,679 --> 00:10:34,360 Speaker 1: ant species we know of that do this thing called 193 00:10:34,400 --> 00:10:38,480 Speaker 1: sperm parasitism, where they make these hybrid sterile workers by 194 00:10:38,520 --> 00:10:40,439 Speaker 1: mating with males of a different species. 195 00:10:40,559 --> 00:10:42,720 Speaker 2: And why exactly is it called parasitism? 196 00:10:43,240 --> 00:10:46,400 Speaker 1: I think the idea is that so for species two, 197 00:10:46,559 --> 00:10:51,360 Speaker 1: the males that are impregnating the queen, they're essentially wasting 198 00:10:51,400 --> 00:10:55,480 Speaker 1: their sperm, so they impregnate the queen of species one, 199 00:10:56,000 --> 00:10:58,560 Speaker 1: and all of those offspring are sterile, so they don't 200 00:10:58,559 --> 00:11:01,640 Speaker 1: go anywhere. So the males of species two have made 201 00:11:01,640 --> 00:11:04,360 Speaker 1: this sperm, paid the cost to make it, and it's 202 00:11:04,400 --> 00:11:08,000 Speaker 1: genetically evolutionarily not going to end up, you know, contributing 203 00:11:08,000 --> 00:11:09,200 Speaker 1: to more offspring for them. 204 00:11:09,360 --> 00:11:11,319 Speaker 2: And when Jamie asked you this question, do you think 205 00:11:11,320 --> 00:11:13,400 Speaker 2: he knew there was a parasite angle on it or 206 00:11:13,440 --> 00:11:15,319 Speaker 2: is that just like a happy bonus for everybody. 207 00:11:15,480 --> 00:11:17,600 Speaker 1: I don't know. It might have just been a happy bonus, 208 00:11:17,640 --> 00:11:20,959 Speaker 1: but I'm excited either way. Jamie knows us pretty well, 209 00:11:21,000 --> 00:11:22,400 Speaker 1: so maybe this was a gift for me. 210 00:11:22,480 --> 00:11:25,600 Speaker 2: I didn't realize that even sperms can be parasites. That's incredible. 211 00:11:25,640 --> 00:11:30,560 Speaker 1: Oh no, no, no, the sperm is being parasitized. Oh right, yeah, yeah, 212 00:11:30,600 --> 00:11:34,080 Speaker 1: So the queen is essentially like extracting the sperm for 213 00:11:34,160 --> 00:11:37,079 Speaker 1: her own purposes. Wow, but not benefiting species too? 214 00:11:37,240 --> 00:11:39,080 Speaker 2: Is there an evil cackle that happens along the way? 215 00:11:39,080 --> 00:11:39,600 Speaker 2: You think. 216 00:11:43,440 --> 00:11:45,360 Speaker 1: I won't, but there's little ants, So it's gotta be 217 00:11:45,400 --> 00:11:48,040 Speaker 1: a little high pitched voice. Try that, Daniel. 218 00:11:48,360 --> 00:11:53,120 Speaker 2: I can't do that. I can't do that. 219 00:11:53,559 --> 00:11:57,360 Speaker 1: Okay, Well, all right, so that was amazing. That's already weird. Okay. 220 00:11:57,440 --> 00:12:01,040 Speaker 1: But so for species one, it has now actually become 221 00:12:01,160 --> 00:12:04,720 Speaker 1: a requirement that the queen mates with another species. She 222 00:12:04,880 --> 00:12:10,280 Speaker 1: can't produce these workers anymore unless she finds species two males. 223 00:12:11,640 --> 00:12:13,080 Speaker 2: The thing you thought you were going to do just 224 00:12:13,120 --> 00:12:15,040 Speaker 2: once turns out to be a habit, and then now 225 00:12:15,040 --> 00:12:16,079 Speaker 2: you can't live without it. 226 00:12:16,280 --> 00:12:19,240 Speaker 1: I know that's right. We've all been there, and so 227 00:12:19,320 --> 00:12:20,679 Speaker 1: for me it's coffee, But. 228 00:12:22,200 --> 00:12:24,599 Speaker 2: So for other people it's sperm paraticism. 229 00:12:24,800 --> 00:12:29,120 Speaker 1: That's right. That's right to each their own right. So okay, 230 00:12:29,160 --> 00:12:30,880 Speaker 1: so you might remember that I told you that there 231 00:12:30,880 --> 00:12:34,880 Speaker 1: are areas where you only find species one or you 232 00:12:35,040 --> 00:12:38,760 Speaker 1: only find species two. Right, So if species one has 233 00:12:38,800 --> 00:12:42,320 Speaker 1: to mate with species two, how does species one manage 234 00:12:42,360 --> 00:12:46,160 Speaker 1: to persist far away from species two? And there's one 235 00:12:46,200 --> 00:12:49,600 Speaker 1: spot where it's known that there's one thousand kilometers between 236 00:12:49,679 --> 00:12:53,880 Speaker 1: the nearest Species one and Species two nests. All right, 237 00:12:53,960 --> 00:12:56,240 Speaker 1: so there's no queens of species two in the area. 238 00:12:56,360 --> 00:12:59,199 Speaker 1: But if you find a Species one nest and you 239 00:12:59,280 --> 00:13:04,040 Speaker 1: dig it up, you'll find that there are still hybrid 240 00:13:04,120 --> 00:13:07,199 Speaker 1: individuals in there. So there's still the hybrid workers. And 241 00:13:07,240 --> 00:13:10,760 Speaker 1: so the question is how the heck is she managing 242 00:13:10,800 --> 00:13:14,440 Speaker 1: to produce these hybrids when there's no males of species 243 00:13:14,480 --> 00:13:17,280 Speaker 1: two around. Yeah, the answer is going to be that 244 00:13:17,320 --> 00:13:21,000 Speaker 1: she makes species two males, which is crazy. Right, So 245 00:13:21,120 --> 00:13:23,680 Speaker 1: let's go through the process that the scientists went through 246 00:13:23,720 --> 00:13:25,800 Speaker 1: to sort of study this. So first they opened up 247 00:13:25,840 --> 00:13:29,319 Speaker 1: species one nests and they looked very carefully at everybody 248 00:13:29,360 --> 00:13:31,880 Speaker 1: who was in there in an area where you shouldn't 249 00:13:31,920 --> 00:13:36,280 Speaker 1: find any Species two, and they did find some Species 250 00:13:36,320 --> 00:13:40,360 Speaker 1: two males in the nest, and they were like, okay, 251 00:13:40,520 --> 00:13:43,440 Speaker 1: that's really weird. And so then they looked at the 252 00:13:43,480 --> 00:13:47,800 Speaker 1: genetic information inside of species two and they found that 253 00:13:47,920 --> 00:13:53,360 Speaker 1: Species two had mitochondria from species one. And if you 254 00:13:53,400 --> 00:13:56,800 Speaker 1: know anything about mitochondria, you might remember that mitochondria are 255 00:13:57,000 --> 00:14:01,640 Speaker 1: only inherited from mom. So that means that these species 256 00:14:01,720 --> 00:14:05,600 Speaker 1: two males must have come from a mom of species 257 00:14:05,640 --> 00:14:10,360 Speaker 1: one because they've got her mitochondria. And they went over 258 00:14:10,400 --> 00:14:13,280 Speaker 1: to areas where you find species two normally like in 259 00:14:13,360 --> 00:14:16,679 Speaker 1: their own sort of colony, and they confirmed species two 260 00:14:16,760 --> 00:14:22,240 Speaker 1: males usually have mitochondria from species two moms. And so 261 00:14:22,320 --> 00:14:23,000 Speaker 1: this was weird. 262 00:14:23,120 --> 00:14:26,520 Speaker 2: So you can tell the difference between species two males 263 00:14:26,560 --> 00:14:30,000 Speaker 2: that come from species one or species two by their mitochondria. 264 00:14:30,080 --> 00:14:33,400 Speaker 1: Yes, wow, yeah, very cool. But they wanted to make 265 00:14:33,440 --> 00:14:35,560 Speaker 1: one hundred percent sure that the queens were the ones 266 00:14:35,600 --> 00:14:38,520 Speaker 1: who were laying the eggs that had the males, and 267 00:14:38,560 --> 00:14:42,160 Speaker 1: so they took queens and workers and they brought them 268 00:14:42,160 --> 00:14:44,920 Speaker 1: into the lab, and some of the workers that they 269 00:14:45,000 --> 00:14:47,080 Speaker 1: brought into the lab these were from species one. They 270 00:14:47,120 --> 00:14:49,440 Speaker 1: went ahead and they did lay some of their own eggs, 271 00:14:49,920 --> 00:14:52,400 Speaker 1: and what they found was that nine percent of the 272 00:14:52,440 --> 00:14:57,200 Speaker 1: eggs made by queens of species one produced males of 273 00:14:57,240 --> 00:15:01,520 Speaker 1: species two. Amazing, right, were weird. And when the workers 274 00:15:01,720 --> 00:15:04,560 Speaker 1: of species one made some eggs, none of them were 275 00:15:04,600 --> 00:15:07,920 Speaker 1: species two. It's just the queen who's doing this, Okay. 276 00:15:08,200 --> 00:15:11,840 Speaker 1: So then they monitored a colony that they brought into 277 00:15:11,880 --> 00:15:15,040 Speaker 1: the lab for a year and a half, and they 278 00:15:15,080 --> 00:15:19,440 Speaker 1: found that the mom produced Species one and Species two males. 279 00:15:19,800 --> 00:15:23,760 Speaker 1: They both survived to reproductive age, and they looked genetically 280 00:15:23,800 --> 00:15:27,600 Speaker 1: and they confirmed, Okay, one queen is definitely making species 281 00:15:27,640 --> 00:15:31,720 Speaker 1: one and Species two males. How is she doing that? 282 00:15:32,360 --> 00:15:35,440 Speaker 1: So one possibility here is that a lot of invertebrates 283 00:15:35,760 --> 00:15:39,840 Speaker 1: are able to store sperm, so you can mate with 284 00:15:39,920 --> 00:15:42,880 Speaker 1: a male, and a couple months later you can be like, oh, 285 00:15:42,920 --> 00:15:45,400 Speaker 1: I'm gonna take that sperm that I was storing, and 286 00:15:45,440 --> 00:15:47,840 Speaker 1: now I'm gonna fertilize my eggs, and even though there's 287 00:15:47,840 --> 00:15:50,560 Speaker 1: no males around, I can go ahead and have some 288 00:15:50,640 --> 00:15:51,280 Speaker 1: extra babies. 289 00:15:51,400 --> 00:15:53,000 Speaker 2: I didn't know it lasted that long. I thought I 290 00:15:53,040 --> 00:15:55,520 Speaker 2: had a short life span, like twenty four hours or 291 00:15:55,600 --> 00:15:56,680 Speaker 2: forty eight hours or something. 292 00:15:56,760 --> 00:15:58,320 Speaker 1: I don't know exactly how long it is, but it's 293 00:15:58,360 --> 00:16:00,840 Speaker 1: more than twenty four or forty eight hours. But by 294 00:16:00,840 --> 00:16:03,800 Speaker 1: having them in the lab for eighteen months, they were 295 00:16:03,840 --> 00:16:07,000 Speaker 1: able to, like pretty conclusively say, Okay, the females probably 296 00:16:07,040 --> 00:16:10,720 Speaker 1: aren't like flying one thousand kilometers to go find a 297 00:16:10,760 --> 00:16:13,520 Speaker 1: Species two male, mating with him and then coming back 298 00:16:13,600 --> 00:16:15,080 Speaker 1: like she's been in the lab the whole. 299 00:16:14,880 --> 00:16:17,920 Speaker 2: Time, or maybe they're like actually aliens and have wormhole 300 00:16:17,960 --> 00:16:21,080 Speaker 2: technology and they're like teleporting over there. That's right, not 301 00:16:21,120 --> 00:16:22,400 Speaker 2: a hypothesis they considered. 302 00:16:22,800 --> 00:16:25,600 Speaker 1: No, you know, they didn't have a physicist on the team, probably, 303 00:16:25,680 --> 00:16:26,040 Speaker 1: and I. 304 00:16:26,000 --> 00:16:29,800 Speaker 2: Know that you always need a physicist, right, maybe maybe 305 00:16:30,000 --> 00:16:32,000 Speaker 2: maybe Are you not even going to agree with me 306 00:16:32,040 --> 00:16:32,480 Speaker 2: on that one? 307 00:16:33,000 --> 00:16:33,200 Speaker 1: Yeah? 308 00:16:33,440 --> 00:16:34,880 Speaker 2: Heads your bed on that one, all right? 309 00:16:35,120 --> 00:16:36,840 Speaker 1: Probably almost certainly. 310 00:16:36,600 --> 00:16:40,320 Speaker 2: At least we should consider having a physicist on every project. 311 00:16:39,960 --> 00:16:41,640 Speaker 1: Sure, right, And are you going to consider having a 312 00:16:41,680 --> 00:16:44,040 Speaker 1: biologist on every project to make sure you all stay 313 00:16:44,040 --> 00:16:44,560 Speaker 1: down to Earth? 314 00:16:44,600 --> 00:16:48,160 Speaker 2: I already do? Oh, I already do, of course, okay, okay, 315 00:16:49,200 --> 00:16:52,680 Speaker 2: all right. So they saw this essentially happened in the 316 00:16:52,760 --> 00:16:55,440 Speaker 2: lab and controlled conditions, so they knew that she was 317 00:16:55,480 --> 00:16:57,320 Speaker 2: actually generating species to herself. 318 00:16:57,440 --> 00:17:00,480 Speaker 1: Yes, right. They also looked at like genetic diverse of 319 00:17:00,520 --> 00:17:04,399 Speaker 1: species two males in their native range and in these 320 00:17:04,560 --> 00:17:08,000 Speaker 1: species one nests, and they were very low diversity, which 321 00:17:08,040 --> 00:17:11,880 Speaker 1: you would expect, you know, if there was something weird happening, 322 00:17:11,920 --> 00:17:14,240 Speaker 1: and the males were just like a very small subset 323 00:17:14,280 --> 00:17:17,720 Speaker 1: of their genes were being passed through species one over time. 324 00:17:18,119 --> 00:17:22,400 Speaker 1: So here is what they think is happening. Females are 325 00:17:22,480 --> 00:17:27,240 Speaker 1: somehow cloning males and all cloning means. And you might 326 00:17:27,240 --> 00:17:30,399 Speaker 1: remember this from a past conversation where we talked about cloning, 327 00:17:30,480 --> 00:17:33,439 Speaker 1: like in our episode about the dire wolf that was 328 00:17:33,440 --> 00:17:35,560 Speaker 1: made by Colossal. So essentially, what you do is you 329 00:17:36,080 --> 00:17:40,520 Speaker 1: take an egg and you like extract the genetic information 330 00:17:40,560 --> 00:17:42,760 Speaker 1: from the egg, except you can leave the mitochondria in there, 331 00:17:43,000 --> 00:17:45,879 Speaker 1: and then you put new genetic information into that egg, 332 00:17:46,000 --> 00:17:49,639 Speaker 1: and then what hatches is the species or the individual 333 00:17:49,760 --> 00:17:52,440 Speaker 1: associated with the new genetic information. Does that make sense? 334 00:17:53,320 --> 00:17:58,280 Speaker 1: So somehow the females seem to be taking genetic information 335 00:17:58,359 --> 00:18:01,040 Speaker 1: from species two, plopping it into their own eggs, and 336 00:18:01,080 --> 00:18:05,720 Speaker 1: producing species two males. They don't know exactly how that's happening, 337 00:18:06,440 --> 00:18:08,679 Speaker 1: but the way that it could work in theory is 338 00:18:08,720 --> 00:18:10,960 Speaker 1: that you've got a queen from species one in an 339 00:18:10,960 --> 00:18:14,160 Speaker 1: area where the species overlap, She mates with the male 340 00:18:14,240 --> 00:18:20,000 Speaker 1: from species two and stores that sperm. She migrates away 341 00:18:20,040 --> 00:18:22,399 Speaker 1: from the area where the species overlap and goes and 342 00:18:22,440 --> 00:18:26,639 Speaker 1: starts her new colonies somewhere completely different. She uses that 343 00:18:26,680 --> 00:18:29,960 Speaker 1: sperm to make males, and then she mates with those 344 00:18:29,960 --> 00:18:31,520 Speaker 1: males to get her hybrid workers. 345 00:18:32,640 --> 00:18:35,479 Speaker 2: That's pretty ikey though, she's like meeting with her own sons. 346 00:18:35,960 --> 00:18:38,760 Speaker 1: Yeah, no, I mean nature. Yeah, has a lot of 347 00:18:38,840 --> 00:18:40,000 Speaker 1: uncomfortable stuff happening. 348 00:18:40,119 --> 00:18:42,080 Speaker 2: I'm sure we can find some beauty in that. Also. 349 00:18:42,520 --> 00:18:47,840 Speaker 1: Nope, and so moving on and so hard. No so 350 00:18:48,040 --> 00:18:50,560 Speaker 1: uh okay. So she's got she can mate with these 351 00:18:50,560 --> 00:18:53,320 Speaker 1: males that she made, and now she's got her hybrid workers. 352 00:18:53,600 --> 00:18:56,520 Speaker 1: But when it's time to make a queen a new queen, 353 00:18:57,400 --> 00:19:01,320 Speaker 1: she can mate with the other male that are of 354 00:19:01,359 --> 00:19:05,920 Speaker 1: her species, and then those queens can mate with the 355 00:19:05,960 --> 00:19:08,720 Speaker 1: males of species two that are already in the colony 356 00:19:08,760 --> 00:19:12,240 Speaker 1: with them. They can acquire that sperm, and then they 357 00:19:12,280 --> 00:19:16,040 Speaker 1: can bring that sperm with them even farther away from 358 00:19:16,080 --> 00:19:18,600 Speaker 1: the initial area that they live, so even farther away 359 00:19:18,600 --> 00:19:20,480 Speaker 1: from where you usually find species two. 360 00:19:20,760 --> 00:19:23,959 Speaker 2: So this is a mechanism for extending your colonies beyond 361 00:19:23,960 --> 00:19:26,720 Speaker 2: the boundaries of species too. They like need species too, 362 00:19:27,280 --> 00:19:30,719 Speaker 2: but it's not always available, so they evolve this mechanism 363 00:19:30,760 --> 00:19:32,959 Speaker 2: to basically cut them out of the loop and make 364 00:19:33,000 --> 00:19:34,040 Speaker 2: them themselves right. 365 00:19:34,119 --> 00:19:38,480 Speaker 1: Yes, and then they also have this amazing ability to like, 366 00:19:38,520 --> 00:19:41,960 Speaker 1: instead of combining genetic information, they just take the male's 367 00:19:42,000 --> 00:19:45,680 Speaker 1: genetic information and like and clone them, which is totally crazy. 368 00:19:45,840 --> 00:19:48,399 Speaker 1: And to be honest, the authors were very clear, we 369 00:19:48,520 --> 00:19:51,280 Speaker 1: do not know the mechanism to explain what's happening here, 370 00:19:51,320 --> 00:19:53,640 Speaker 1: and so this is just like a hypothetical. But they 371 00:19:53,640 --> 00:19:57,120 Speaker 1: compared it to domestication. It's kind of like domesticating species 372 00:19:57,160 --> 00:19:59,359 Speaker 1: two and sort of taking it with you for your 373 00:19:59,400 --> 00:20:01,600 Speaker 1: own purposes. And I'm not quite sure that I buy 374 00:20:01,600 --> 00:20:03,679 Speaker 1: the comparison, but it's an interesting way to think about it. 375 00:20:03,760 --> 00:20:05,560 Speaker 2: Yeah, that is fascinating. They're sort of raising it and 376 00:20:05,560 --> 00:20:08,720 Speaker 2: co opting it for their own purposes in that sense. 377 00:20:09,000 --> 00:20:13,200 Speaker 2: But when we domesticate cats, there's no like interbreeding. Yeah, 378 00:20:13,240 --> 00:20:15,439 Speaker 2: I mean not usually that I'm aware of. 379 00:20:16,000 --> 00:20:18,199 Speaker 1: Oh oh more, absolutely not. 380 00:20:18,320 --> 00:20:20,520 Speaker 2: Okay, I mean when people say cat lady, I don't 381 00:20:20,520 --> 00:20:21,400 Speaker 2: think that's what they mean. 382 00:20:21,480 --> 00:20:26,120 Speaker 1: Right, Oh goshh not safe for work. So the authors 383 00:20:26,160 --> 00:20:28,680 Speaker 1: propose a new word, changing the subject. The new word 384 00:20:28,880 --> 00:20:33,399 Speaker 1: is xenoparis, meaning they quote need to produce individuals of 385 00:20:33,440 --> 00:20:35,879 Speaker 1: another species as part of their life cycle. 386 00:20:36,000 --> 00:20:36,400 Speaker 2: Wow. 387 00:20:36,520 --> 00:20:39,760 Speaker 1: Zeno means like strange or different, and parody means like 388 00:20:39,800 --> 00:20:42,399 Speaker 1: to give birth, so anyway giving birth to something different. 389 00:20:42,560 --> 00:20:45,880 Speaker 2: So does this mean we should again broaden our concept 390 00:20:45,920 --> 00:20:48,200 Speaker 2: of what a species is. That the lines are even 391 00:20:48,280 --> 00:20:51,680 Speaker 2: fuzzier than we thought before. The biology is amazing us 392 00:20:51,680 --> 00:20:53,080 Speaker 2: and how messy it is again. 393 00:20:53,960 --> 00:20:56,879 Speaker 1: So you let's hold that answer because I am working 394 00:20:56,920 --> 00:20:59,560 Speaker 1: on a whole episode on how do you define species? 395 00:20:59,600 --> 00:21:03,280 Speaker 1: And all of the weird things evolution does that makes 396 00:21:03,359 --> 00:21:06,000 Speaker 1: our job really difficult. It's going to be like a 397 00:21:06,000 --> 00:21:09,680 Speaker 1: philosophical discussion, which I think will be right up your alley. Yep, yeah, yes, 398 00:21:09,840 --> 00:21:13,320 Speaker 1: So tune in for the answer in a future episode, 399 00:21:13,359 --> 00:21:17,439 Speaker 1: and let's see if Jamie feels like I managed to 400 00:21:17,440 --> 00:21:18,600 Speaker 1: figure this paper out. 401 00:21:19,080 --> 00:21:21,639 Speaker 2: Wow, all right, let's hear from Jamie. 402 00:21:21,720 --> 00:21:24,879 Speaker 3: Thanks Jamie, thank you very much for explaining the article. 403 00:21:25,720 --> 00:21:28,879 Speaker 3: I'm glad there was at least some form of parasitism 404 00:21:28,920 --> 00:21:31,719 Speaker 3: in there. For Professor Kelly, I look forward to your 405 00:21:31,720 --> 00:21:33,680 Speaker 3: episode on defining a species. 406 00:21:34,320 --> 00:21:36,840 Speaker 4: A story like this makes me wonder if maybe our. 407 00:21:36,720 --> 00:21:39,840 Speaker 3: Categories are too rigid, or perhaps they don't apply to 408 00:21:39,880 --> 00:21:43,600 Speaker 3: all creatures equally. Thanks, though, I'm really grateful for the explanation. 409 00:22:03,600 --> 00:22:07,399 Speaker 1: All right, So from ants to ant Fantasia, which I 410 00:22:08,320 --> 00:22:11,080 Speaker 1: you know, reliably produced incorrectly. I'm sure. 411 00:22:12,359 --> 00:22:15,400 Speaker 2: Me ouch on that one there, Kelly, all right, so 412 00:22:15,880 --> 00:22:19,720 Speaker 2: we are answering questions today. We love getting questions from listeners. 413 00:22:19,920 --> 00:22:21,760 Speaker 2: If you have a question about the nature of the universe, 414 00:22:21,840 --> 00:22:27,000 Speaker 2: or really anything about this beautiful, incredible, disgusting cosmic violence 415 00:22:27,040 --> 00:22:29,280 Speaker 2: that we have and that we live in, please write 416 00:22:29,320 --> 00:22:31,800 Speaker 2: to us to questions at to Daniel and Kelly dot org. 417 00:22:31,920 --> 00:22:34,480 Speaker 2: We will get back to you. And here's a question 418 00:22:34,560 --> 00:22:38,440 Speaker 2: about visual imagery in the mind and how it enables 419 00:22:38,560 --> 00:22:40,720 Speaker 2: or disables people to do physics. 420 00:22:41,119 --> 00:22:44,600 Speaker 5: Hi, Daniel and Kelly. I recently found out that I 421 00:22:44,640 --> 00:22:48,520 Speaker 5: have a trait called a fantasia, which is the inability 422 00:22:48,640 --> 00:22:53,159 Speaker 5: to consciously pull up visual imagery in my mind. I 423 00:22:53,200 --> 00:22:56,880 Speaker 5: do dream, though, but finding out others can picture an 424 00:22:56,880 --> 00:23:00,639 Speaker 5: apple in their head with their eyes open or closed 425 00:23:00,960 --> 00:23:03,359 Speaker 5: was mind blowing. And I've gone most of my adult 426 00:23:03,440 --> 00:23:07,200 Speaker 5: life without even knowing this. Imagine my continued surprise when 427 00:23:07,240 --> 00:23:10,480 Speaker 5: I discovered that it's not limited to visual information, but 428 00:23:10,640 --> 00:23:15,280 Speaker 5: can also include auditory smell, and even taste. I enjoy 429 00:23:15,359 --> 00:23:18,400 Speaker 5: reading sci fi and fantasy, but my experience in your 430 00:23:18,520 --> 00:23:22,760 Speaker 5: experience must be worlds apart. And that leads me to 431 00:23:22,800 --> 00:23:27,320 Speaker 5: my question, as a physicist, how do you use imagery 432 00:23:27,440 --> 00:23:30,480 Speaker 5: on a day to day basis, are you writing equations 433 00:23:30,520 --> 00:23:34,399 Speaker 5: on a chalkboard? And if so, are you holding the chalk? 434 00:23:34,960 --> 00:23:37,320 Speaker 1: Thanks so much, Oh my gosh, this is such a 435 00:23:37,359 --> 00:23:41,200 Speaker 1: fascinating question. And this question reminded me of Temple grand 436 00:23:41,280 --> 00:23:44,520 Speaker 1: And so when we got our son's autism diagnosis, I 437 00:23:44,600 --> 00:23:49,080 Speaker 1: read every biography I could find written or autobiography written 438 00:23:49,080 --> 00:23:51,040 Speaker 1: by someone who's autistic, so that I could try to 439 00:23:51,119 --> 00:23:53,520 Speaker 1: understand what his life would be like. And I guess 440 00:23:53,520 --> 00:23:58,119 Speaker 1: Temple Grandon has this amazing ability to sort of imagine 441 00:23:58,119 --> 00:24:01,680 Speaker 1: what it's like to be So she works with livestock 442 00:24:01,680 --> 00:24:04,760 Speaker 1: and tries to create ways to make their lives better 443 00:24:04,840 --> 00:24:07,800 Speaker 1: and have more humane practices. And she's amazingly good at 444 00:24:07,840 --> 00:24:10,520 Speaker 1: like envisioning what it must be like to be a 445 00:24:10,520 --> 00:24:12,840 Speaker 1: cow and what it is that they're seeing. And she 446 00:24:13,000 --> 00:24:16,359 Speaker 1: clearly can imagine things way better than I can. And 447 00:24:16,400 --> 00:24:18,920 Speaker 1: it sounds like this listener is on the other side 448 00:24:18,920 --> 00:24:21,760 Speaker 1: where they're able to envision even less than I can. 449 00:24:22,000 --> 00:24:24,600 Speaker 1: And I think this spectrum is totally fascinating. 450 00:24:25,000 --> 00:24:27,880 Speaker 2: It is really amazing, and it's something we only understood 451 00:24:28,000 --> 00:24:30,680 Speaker 2: like in the last you know, ten or fifteen years, 452 00:24:30,720 --> 00:24:35,640 Speaker 2: that there is a variation between people and their mental imagery. Essentially, 453 00:24:35,680 --> 00:24:37,879 Speaker 2: we've been communicating with each other about this kind of 454 00:24:37,880 --> 00:24:41,160 Speaker 2: stuff for thousands of years and not realizing that we're 455 00:24:41,200 --> 00:24:44,960 Speaker 2: having very different experiences internally. And I read this excellent 456 00:24:45,080 --> 00:24:48,240 Speaker 2: article in The New Yorker very recently about a fantasia 457 00:24:48,680 --> 00:24:52,000 Speaker 2: from late October. Really recommend it, and it begins with 458 00:24:52,080 --> 00:24:56,280 Speaker 2: the story of a physicist who, in his late thirties 459 00:24:56,359 --> 00:25:00,639 Speaker 2: or early forties, finally realizes that when everybody else is 460 00:25:00,680 --> 00:25:03,640 Speaker 2: talking about having images in their minds, they're being literal 461 00:25:03,680 --> 00:25:06,920 Speaker 2: about it. He thought forever that everyone was just sort 462 00:25:06,920 --> 00:25:09,160 Speaker 2: of like using metaphors like I mean, you say you're 463 00:25:09,160 --> 00:25:11,040 Speaker 2: thinking about that, you're seeing that in your mind, but 464 00:25:11,080 --> 00:25:14,439 Speaker 2: you're not literally like seeing it, right, And it was 465 00:25:14,520 --> 00:25:18,040 Speaker 2: only like recently the dude is like totally grown up 466 00:25:18,040 --> 00:25:21,120 Speaker 2: when he realized people are being literal, that some people 467 00:25:21,200 --> 00:25:25,359 Speaker 2: can close their eyes and imagine an apple from yesterday 468 00:25:25,440 --> 00:25:28,639 Speaker 2: and like see it'd be green and shimmery, and you know, 469 00:25:29,000 --> 00:25:32,520 Speaker 2: really visualize these things. He thought everybody was being figurative. 470 00:25:32,840 --> 00:25:34,640 Speaker 1: What do you think it would be like to realize 471 00:25:34,640 --> 00:25:37,280 Speaker 1: that as an adult? I mean, I think animal behaviors 472 00:25:37,320 --> 00:25:39,000 Speaker 1: think about this kind of stuff. All the time, like 473 00:25:39,200 --> 00:25:41,520 Speaker 1: you know, that animal could do something I can't, But 474 00:25:41,560 --> 00:25:43,760 Speaker 1: it must have been a crazy moment to realize. 475 00:25:44,000 --> 00:25:46,600 Speaker 2: Yeah, well, I think everybody is a little different. And 476 00:25:46,680 --> 00:25:49,800 Speaker 2: as you're growing up, you discover like, wow, everybody thinks 477 00:25:49,840 --> 00:25:52,480 Speaker 2: that swimming is fun and I hate the beach, Or 478 00:25:52,600 --> 00:25:55,199 Speaker 2: everybody else loves chocolate but I think it's gross. Or 479 00:25:55,280 --> 00:25:58,960 Speaker 2: watermelon tastes like cilantro. So it's not unusual to find 480 00:25:59,080 --> 00:26:02,880 Speaker 2: something that makes you different. But it is amazing how 481 00:26:02,960 --> 00:26:05,840 Speaker 2: such fundamental parts of what we think about the human 482 00:26:05,920 --> 00:26:08,919 Speaker 2: experience can be different from person to person. And you know, 483 00:26:08,960 --> 00:26:11,159 Speaker 2: this is a question like philosophers have been debating for 484 00:26:11,240 --> 00:26:13,240 Speaker 2: thousands of years, like what is it like to be 485 00:26:13,280 --> 00:26:15,960 Speaker 2: a bat? Do we see the same color red? And 486 00:26:16,119 --> 00:26:19,480 Speaker 2: so sort of incredible that it's only recently people have 487 00:26:19,520 --> 00:26:23,680 Speaker 2: been studying this in detail. And this article goes into 488 00:26:23,680 --> 00:26:26,520 Speaker 2: the history of the study of it, which is only 489 00:26:26,520 --> 00:26:28,520 Speaker 2: about one hundred and fifty years old. Does a guy 490 00:26:28,560 --> 00:26:32,200 Speaker 2: Francis Galton, who's also sort of a famous eugenicist, Yeah, 491 00:26:32,280 --> 00:26:35,720 Speaker 2: did some early research and found a bunch of examples 492 00:26:35,720 --> 00:26:39,720 Speaker 2: of scientists who he says, quote, have feeble powers of 493 00:26:39,840 --> 00:26:44,800 Speaker 2: visual representation, so scientists in particular tend to not be 494 00:26:44,960 --> 00:26:48,119 Speaker 2: able to imagine things in their minds, which I think is, 495 00:26:48,480 --> 00:26:52,280 Speaker 2: you know, the impetus for today's question. And that's surprising 496 00:26:52,359 --> 00:26:56,040 Speaker 2: because it feels like visual imagery is so important to physics. 497 00:26:56,119 --> 00:26:59,919 Speaker 2: Like think of the story of Einstein coming up with relativity. 498 00:27:00,320 --> 00:27:02,880 Speaker 2: He says that he was imagining, or trying to imagine, 499 00:27:02,920 --> 00:27:05,760 Speaker 2: pulling up alongside a photon, and in realizing that that 500 00:27:05,840 --> 00:27:09,400 Speaker 2: was impossible, he understood how photons have no reference frame. 501 00:27:09,480 --> 00:27:12,960 Speaker 2: And Einstein's work is filled with these examples of trains 502 00:27:12,960 --> 00:27:15,600 Speaker 2: and passing each other in light, and clearly he's imagining 503 00:27:15,680 --> 00:27:19,680 Speaker 2: visual situations right. And in chemistry there's lots of examples 504 00:27:19,720 --> 00:27:22,360 Speaker 2: like how did somebody figure out the structure of benzene? 505 00:27:22,359 --> 00:27:24,600 Speaker 2: They had like a dream of a snake biting its 506 00:27:24,600 --> 00:27:28,600 Speaker 2: own tail. It's like very vivid visual imagery. So it's 507 00:27:28,640 --> 00:27:31,879 Speaker 2: easy to imagine that having vivid mental imagery would be 508 00:27:32,000 --> 00:27:33,760 Speaker 2: essential for doing science. Right. 509 00:27:33,960 --> 00:27:36,639 Speaker 1: Yeah, but Galton was wrong about a lot of things. 510 00:27:36,800 --> 00:27:40,280 Speaker 1: Was a lot of things, a lot of important things. 511 00:27:40,520 --> 00:27:42,160 Speaker 1: Was he wrong about this too? 512 00:27:42,440 --> 00:27:45,240 Speaker 2: So we don't have enough data to know and the 513 00:27:45,320 --> 00:27:48,040 Speaker 2: fields has really gone back and forth, like in the 514 00:27:48,080 --> 00:27:53,720 Speaker 2: early nineteen hundreds, the widespread belief among psychologists was that 515 00:27:53,840 --> 00:27:58,520 Speaker 2: mental imagery didn't exist. There's a movement of behaviorism led 516 00:27:58,560 --> 00:28:01,840 Speaker 2: by a guy named JB. Watson who says, quote, what 517 00:28:01,880 --> 00:28:04,600 Speaker 2: does a person mean when he closes his eyes or 518 00:28:04,680 --> 00:28:08,080 Speaker 2: ears and says, I see the house where I was born? Touching, 519 00:28:08,160 --> 00:28:11,240 Speaker 2: of course, but sheer bunk. We are merely dramatizing. The 520 00:28:11,320 --> 00:28:14,399 Speaker 2: behaviorist finds no proof of imagery in all of this. 521 00:28:15,400 --> 00:28:18,680 Speaker 2: So psychiatrists felt like, no, you're not really feeling these things. 522 00:28:18,680 --> 00:28:21,359 Speaker 2: You're not really seeing these things, which is bizarre because 523 00:28:21,359 --> 00:28:23,600 Speaker 2: some of them must have been experiencing it, right. But 524 00:28:23,640 --> 00:28:26,159 Speaker 2: you know, that was just the movement. It's science is 525 00:28:26,160 --> 00:28:28,680 Speaker 2: weird that way. It follows these trends and these fads, 526 00:28:28,720 --> 00:28:31,640 Speaker 2: and eventually it zigzags towards the truth. But it can 527 00:28:31,680 --> 00:28:33,360 Speaker 2: go down some weird rabbit. 528 00:28:33,080 --> 00:28:34,720 Speaker 1: Holes, yeah, and it can get stuck in them for 529 00:28:34,720 --> 00:28:35,119 Speaker 1: a while. 530 00:28:35,480 --> 00:28:38,240 Speaker 2: Yeah. And so it was only the early two thousands 531 00:28:38,760 --> 00:28:42,720 Speaker 2: when a Scotsman had a cardiac procedure and after that 532 00:28:42,800 --> 00:28:46,680 Speaker 2: discovered he could no longer picture anything like he used 533 00:28:46,680 --> 00:28:49,280 Speaker 2: to be able to. And then he had this procedure 534 00:28:49,320 --> 00:28:51,560 Speaker 2: done and all of a sudden, he like couldn't have 535 00:28:51,640 --> 00:28:54,400 Speaker 2: a mental image of you know, his wife's face when 536 00:28:54,440 --> 00:28:57,320 Speaker 2: she wasn't there. He like lost this ability. 537 00:28:57,880 --> 00:28:59,760 Speaker 1: What was the tie in with the cardiac procedure. Did 538 00:28:59,800 --> 00:29:02,280 Speaker 1: part of his brain not get enough oxygen as part 539 00:29:02,280 --> 00:29:02,960 Speaker 1: of the procedure. 540 00:29:03,280 --> 00:29:06,120 Speaker 2: Yeah, So he went to a neurologist, and this neurologist 541 00:29:06,200 --> 00:29:09,040 Speaker 2: had always been interested in this kind of stuff anyway, 542 00:29:09,720 --> 00:29:11,880 Speaker 2: and did a study and showed that part of this 543 00:29:11,920 --> 00:29:15,520 Speaker 2: guy's brain had been like weakened, probably because of this 544 00:29:15,600 --> 00:29:19,440 Speaker 2: cardiac event, and he was trying to call these mental 545 00:29:19,480 --> 00:29:21,640 Speaker 2: images up, but that part of his brain was not activating. 546 00:29:21,720 --> 00:29:23,160 Speaker 2: So he found the part of the brain that was 547 00:29:23,160 --> 00:29:26,440 Speaker 2: like activating when other people were making mental images, and 548 00:29:26,560 --> 00:29:29,520 Speaker 2: in this guy was now failing. Wow, And so he 549 00:29:29,560 --> 00:29:32,280 Speaker 2: wrote an article about it. It is like a new discovery. 550 00:29:32,800 --> 00:29:34,440 Speaker 2: And then a bunch of people wrote in and they 551 00:29:34,440 --> 00:29:37,960 Speaker 2: were like, oh, my gosh, that describes my experience. And 552 00:29:38,040 --> 00:29:40,360 Speaker 2: so it turned out this wasn't just like one random 553 00:29:40,400 --> 00:29:43,200 Speaker 2: scotsman who had an injury, but it was fairly common, 554 00:29:44,000 --> 00:29:47,960 Speaker 2: and so he decided to call this afhantasia. Fantasia was 555 00:29:48,000 --> 00:29:50,880 Speaker 2: defined by Aristotle as the ability to conjure an image 556 00:29:50,880 --> 00:29:54,400 Speaker 2: in your imagination, so a fantasia meaning you can't do it. 557 00:29:54,880 --> 00:29:58,080 Speaker 2: And Carl Zimmer wrote an article about this in Discover 558 00:29:58,240 --> 00:30:00,200 Speaker 2: magazine which got a lot more attention, and that a 559 00:30:00,240 --> 00:30:02,920 Speaker 2: lot more people wrote in and they were like, wow, 560 00:30:02,960 --> 00:30:04,560 Speaker 2: this is actually quite widespread. 561 00:30:05,080 --> 00:30:06,200 Speaker 1: Huge Curl Zimmer fan. 562 00:30:06,280 --> 00:30:09,640 Speaker 2: Let me just say, I know, and I love when 563 00:30:09,720 --> 00:30:13,719 Speaker 2: science journalism helps propel the science right gets the right 564 00:30:13,760 --> 00:30:15,840 Speaker 2: attention to it. People were like, hey, everybody should know 565 00:30:15,840 --> 00:30:18,640 Speaker 2: about this. This is kind of a thing. And a 566 00:30:18,680 --> 00:30:21,200 Speaker 2: lot of people, it turns out, discover that they have 567 00:30:21,320 --> 00:30:24,480 Speaker 2: this condition only when reading about it or hearing about 568 00:30:24,520 --> 00:30:27,479 Speaker 2: it described on the radio. Like their whole lives. They 569 00:30:27,480 --> 00:30:30,640 Speaker 2: had heard people talk about picturing things or imagining things, 570 00:30:30,720 --> 00:30:34,160 Speaker 2: or visualizing beaches or whatever, and they just assumed that 571 00:30:34,200 --> 00:30:36,480 Speaker 2: these were idioms, that they were like kind of being 572 00:30:36,560 --> 00:30:40,200 Speaker 2: a hyperbologic they were exaggerating, really that they weren't really 573 00:30:40,240 --> 00:30:43,880 Speaker 2: seeing it. And only when hearing this described that this 574 00:30:44,040 --> 00:30:46,840 Speaker 2: was a condition that you could have, that they'd been 575 00:30:46,920 --> 00:30:50,680 Speaker 2: deeply and profoundly misunderstanding everybody else's experience. 576 00:30:51,160 --> 00:30:53,440 Speaker 1: I wonder if they're more likely to doodle, because if 577 00:30:53,480 --> 00:30:55,320 Speaker 1: I'm trying to keep track of things in my head. 578 00:30:55,680 --> 00:30:57,520 Speaker 1: But I couldn't do that. I feel like I'd want 579 00:30:57,520 --> 00:30:59,440 Speaker 1: to doodle it out on paper to keep. And anyway, 580 00:30:59,440 --> 00:31:01,000 Speaker 1: I'm getting this. This is amazing, No. 581 00:31:00,960 --> 00:31:03,920 Speaker 2: It's fascinating. And in the article they interview some artists, 582 00:31:04,240 --> 00:31:07,280 Speaker 2: and there are some artists who have a fantasia, and 583 00:31:07,840 --> 00:31:10,280 Speaker 2: they hear other artists say like, the picture didn't come 584 00:31:10,320 --> 00:31:12,880 Speaker 2: out as crisply as it does in my mind. And 585 00:31:12,920 --> 00:31:14,640 Speaker 2: these artists with a fantastic are like, what are you 586 00:31:14,680 --> 00:31:19,200 Speaker 2: talking about? And there's the opposite condition called hyper fantasia, 587 00:31:19,640 --> 00:31:24,640 Speaker 2: where you have exceptionally detailed mental images, which sounds awesome, 588 00:31:24,640 --> 00:31:27,840 Speaker 2: but some people describe it as like graphic and inescapable, 589 00:31:28,280 --> 00:31:30,480 Speaker 2: you know where you like, if you watch a horror movie, 590 00:31:30,600 --> 00:31:33,920 Speaker 2: you just like can't escape having those terrible scenes in 591 00:31:33,960 --> 00:31:36,160 Speaker 2: your mind. You know, we don't fade the same way 592 00:31:36,200 --> 00:31:37,440 Speaker 2: we do for others. 593 00:31:37,600 --> 00:31:39,720 Speaker 1: I can totally imagine that not being good. Like those 594 00:31:39,760 --> 00:31:42,560 Speaker 1: pictures of Screwworm that I looked at, I've kind of 595 00:31:42,600 --> 00:31:44,960 Speaker 1: forgotten them. It would be awful if I could still 596 00:31:44,960 --> 00:31:45,680 Speaker 1: see them right now. 597 00:31:45,840 --> 00:31:49,000 Speaker 2: Yeah, somebody with hyperfantagia said that. For example, if somebody 598 00:31:49,040 --> 00:31:53,280 Speaker 2: just like mentions skateboarding. Then he gets like an avalanche 599 00:31:53,440 --> 00:31:56,560 Speaker 2: of vivid memories of every skateboarding experience he's ever had, 600 00:31:56,960 --> 00:31:59,400 Speaker 2: being like stuck in virtual reality and having like a 601 00:31:59,440 --> 00:32:03,200 Speaker 2: three sixty degree video of a thousand skateboarding experiences forced 602 00:32:03,200 --> 00:32:05,880 Speaker 2: on you. So they're sort of at the mercy of 603 00:32:05,960 --> 00:32:09,520 Speaker 2: what people say because his brain is so visual. 604 00:32:09,680 --> 00:32:12,720 Speaker 1: That feels like two problems though, like being able to 605 00:32:12,720 --> 00:32:16,200 Speaker 1: really visualize something and having too many memories coming in. 606 00:32:16,280 --> 00:32:17,720 Speaker 1: That seems like two things. 607 00:32:18,040 --> 00:32:20,920 Speaker 2: Yeah, exactly, So this is something we're still understanding. It's like, 608 00:32:20,960 --> 00:32:23,800 Speaker 2: it's the brain, so it's complicated. But it's amazing to 609 00:32:23,840 --> 00:32:27,120 Speaker 2: me that it's only recently we've even recognized that this 610 00:32:27,160 --> 00:32:29,720 Speaker 2: is an issue, that there really is a difference. And 611 00:32:29,760 --> 00:32:32,120 Speaker 2: there's this meme that's going around now online. You've probably 612 00:32:32,120 --> 00:32:34,040 Speaker 2: seen it, which shows like a person with like a 613 00:32:34,080 --> 00:32:36,560 Speaker 2: crisp image of an apple in their mind and then 614 00:32:36,600 --> 00:32:38,480 Speaker 2: gradations all the way down to a person with no 615 00:32:38,600 --> 00:32:40,640 Speaker 2: image at all. And you should look at that and 616 00:32:40,640 --> 00:32:42,520 Speaker 2: you should ask yourself, like what do I see in 617 00:32:42,560 --> 00:32:44,680 Speaker 2: my mind's eye? And there really is a huge spectrum. 618 00:32:44,720 --> 00:32:47,400 Speaker 2: There are people who just cannot visualize stuff in their brains, 619 00:32:47,560 --> 00:32:51,720 Speaker 2: and people can have like exceptionally crisp photo quality images 620 00:32:51,800 --> 00:32:53,960 Speaker 2: in their minds, which might feel weird to you as well. 621 00:32:54,000 --> 00:32:56,479 Speaker 2: And I thought about this myself, and I'm a very 622 00:32:56,560 --> 00:32:59,800 Speaker 2: visual person. I can really imagine a crisp apple, not 623 00:33:00,120 --> 00:33:03,880 Speaker 2: quite photorealistic, but with a lot of detail. How about you, Kelly, 624 00:33:03,880 --> 00:33:05,640 Speaker 2: what kind of images do you see in your mind? 625 00:33:05,920 --> 00:33:08,960 Speaker 1: I think of somewhere in between. Definitely not photorealistic, but 626 00:33:09,000 --> 00:33:09,840 Speaker 1: I can see stuff. 627 00:33:09,960 --> 00:33:14,560 Speaker 2: And this is fascinatingly connected to thinking about science, because 628 00:33:14,920 --> 00:33:17,240 Speaker 2: we talked earlier about how it might be really important 629 00:33:17,280 --> 00:33:19,760 Speaker 2: to have these visuals in your mind to do science. 630 00:33:20,200 --> 00:33:23,240 Speaker 2: But Oliver Sacks did this fascinating experience which you'd love, Kelly, 631 00:33:23,240 --> 00:33:27,120 Speaker 2: because it involved self experimentation. He had almost no mental imagery, 632 00:33:27,400 --> 00:33:30,760 Speaker 2: but then he decided to take heroic quantities of anphetamines, 633 00:33:31,280 --> 00:33:33,800 Speaker 2: and while he was doing this, he could see images 634 00:33:33,840 --> 00:33:35,840 Speaker 2: in his mind. It like activated this part of his 635 00:33:35,920 --> 00:33:38,720 Speaker 2: brain so he could do it, But then he could 636 00:33:38,760 --> 00:33:42,000 Speaker 2: no longer think about abstract stuff, so it was sort 637 00:33:42,040 --> 00:33:44,680 Speaker 2: of trade off. So it might be the people who 638 00:33:44,680 --> 00:33:49,280 Speaker 2: are exceptionally visual can't think as abstractly, and people who 639 00:33:49,280 --> 00:33:53,560 Speaker 2: think better abstractly can't think as visually, and so to 640 00:33:53,800 --> 00:33:57,800 Speaker 2: the question like what's crucial for doing physics, it might 641 00:33:57,920 --> 00:34:01,760 Speaker 2: be that not being construed by visual imagery makes you 642 00:34:01,840 --> 00:34:06,800 Speaker 2: better thinking about complex things like eleven dimensional manifolds that 643 00:34:06,840 --> 00:34:09,920 Speaker 2: you need to solve string theory. Right, Maybe being unshackled 644 00:34:10,239 --> 00:34:13,920 Speaker 2: from the reality of our intuition for the dominance of 645 00:34:13,960 --> 00:34:18,280 Speaker 2: our physical world and its implied limitations makes it easier 646 00:34:18,560 --> 00:34:21,680 Speaker 2: to think about complex numbers and all sorts of crazy things, 647 00:34:21,800 --> 00:34:23,839 Speaker 2: which a lot of us find counterintuitive because we don't 648 00:34:23,880 --> 00:34:26,879 Speaker 2: see them reflected in our reality. And so I think 649 00:34:26,920 --> 00:34:28,640 Speaker 2: the answer to the question is that there's a whole 650 00:34:28,680 --> 00:34:32,160 Speaker 2: spectrum of experience, and there's different kinds of physicists. Like 651 00:34:32,200 --> 00:34:35,800 Speaker 2: for me, when I think about physics, I think very geometrically, 652 00:34:36,000 --> 00:34:38,320 Speaker 2: even if we're talking about like weird abstract math, I 653 00:34:38,440 --> 00:34:40,800 Speaker 2: like see it in my mind as shapes, like fitting 654 00:34:40,800 --> 00:34:43,960 Speaker 2: together or not fitting together, or clicking or pulling on 655 00:34:44,040 --> 00:34:46,359 Speaker 2: each other. Like when I think about quantum fields, it's 656 00:34:46,480 --> 00:34:50,399 Speaker 2: very visual and geometric. And I always struggled with equations, 657 00:34:50,480 --> 00:34:52,920 Speaker 2: Like I can do the math, obviously, I know how 658 00:34:52,960 --> 00:34:55,840 Speaker 2: to manipulate equations, but I don't think in terms of equations. 659 00:34:55,880 --> 00:34:58,600 Speaker 2: I don't look at an equation and understand intuitively, have 660 00:34:58,640 --> 00:35:02,239 Speaker 2: to translate it in to sort of geometric concepts in 661 00:35:02,320 --> 00:35:04,680 Speaker 2: order to understand how the pieces are pulling on each 662 00:35:04,680 --> 00:35:07,480 Speaker 2: other and how they interplay with each other. So I 663 00:35:07,480 --> 00:35:09,840 Speaker 2: think this is probably a whole different spectrum, and different 664 00:35:09,960 --> 00:35:12,000 Speaker 2: kinds of brains are good at different kinds of things. 665 00:35:12,040 --> 00:35:14,680 Speaker 2: And I'm glad that we have a diversity of brains 666 00:35:14,719 --> 00:35:17,040 Speaker 2: in physics and in biology and in the world. 667 00:35:17,200 --> 00:35:20,640 Speaker 1: Absolutely, But now you've got me wanting a survey of 668 00:35:20,960 --> 00:35:24,279 Speaker 1: different fields and having them do that that like right 669 00:35:24,440 --> 00:35:27,880 Speaker 1: gradient of photorealistic apple to like hazy apple, and seeing 670 00:35:27,880 --> 00:35:31,000 Speaker 1: if different kinds of fields have different average scores on 671 00:35:31,040 --> 00:35:31,480 Speaker 1: that test. 672 00:35:31,800 --> 00:35:34,920 Speaker 2: Yeah, all right, it would be fascinating exactly. But it's 673 00:35:34,960 --> 00:35:37,160 Speaker 2: good that we have all these different kinds of brains. 674 00:35:37,160 --> 00:35:39,719 Speaker 2: I wonder how hereditary it is, you know, I like, yeah, 675 00:35:39,840 --> 00:35:42,960 Speaker 2: if you have apple pictures as parents, does that mean 676 00:35:43,000 --> 00:35:46,000 Speaker 2: you can picture apples? And if not? And how random 677 00:35:46,000 --> 00:35:48,960 Speaker 2: it is? Anyway, It's amazing the way the world is 678 00:35:49,000 --> 00:35:50,840 Speaker 2: and the way we image it, and how bad we 679 00:35:51,000 --> 00:35:55,240 Speaker 2: are at understanding other people's internal experience and what else 680 00:35:55,800 --> 00:35:59,400 Speaker 2: are we not understanding because we're using these clumsy. 681 00:35:59,000 --> 00:36:01,920 Speaker 1: Words within our own species, right, and then you try 682 00:36:01,960 --> 00:36:04,120 Speaker 1: to figure out what's happening with another species, and it's 683 00:36:04,160 --> 00:36:05,920 Speaker 1: amazing we understand anything at all. 684 00:36:06,239 --> 00:36:29,080 Speaker 2: Yeah, Okay, we're back and we're answering questions from you, 685 00:36:29,400 --> 00:36:31,960 Speaker 2: from listeners just like you, who had a moment of 686 00:36:32,000 --> 00:36:35,320 Speaker 2: curiosity that they couldn't scratch themselves, and so they wrote 687 00:36:35,480 --> 00:36:38,440 Speaker 2: to us, and we are here to scratch that itch. 688 00:36:38,600 --> 00:36:40,879 Speaker 1: Well, speaking of scratching, we're going to talk about little 689 00:36:40,920 --> 00:36:42,040 Speaker 1: mites that live on your face. 690 00:36:42,400 --> 00:36:43,000 Speaker 2: Oh boy? 691 00:36:44,800 --> 00:36:48,839 Speaker 1: All right, So Luner on Discord had this question for us. 692 00:36:49,200 --> 00:36:50,960 Speaker 6: Good morning, Daniel and Kelly. 693 00:36:51,040 --> 00:36:51,480 Speaker 2: How are you? 694 00:36:51,640 --> 00:36:54,080 Speaker 6: This is a Lunar from Discord. So my question is 695 00:36:54,120 --> 00:36:58,320 Speaker 6: pretty simple. Why does a thing like demo dex folliculorum 696 00:36:58,600 --> 00:37:03,120 Speaker 6: actually exist? I understand nature is strange and life is beautiful, 697 00:37:03,200 --> 00:37:06,920 Speaker 6: but why do these things exist? Why do I now 698 00:37:06,960 --> 00:37:11,160 Speaker 6: know that there are ity bitty little mites living on 699 00:37:11,200 --> 00:37:14,200 Speaker 6: my face and getting jiggy with it all through the night. 700 00:37:14,280 --> 00:37:17,200 Speaker 6: It kind of sort of makes me want to bathe 701 00:37:17,440 --> 00:37:21,320 Speaker 6: in pesticide. So can someone put my mind at ease 702 00:37:21,560 --> 00:37:24,920 Speaker 6: and just let me know, let us know, let the 703 00:37:25,040 --> 00:37:28,520 Speaker 6: people know that these things aren't causing us any harm, 704 00:37:28,560 --> 00:37:31,120 Speaker 6: and they might just very well be living out their 705 00:37:31,120 --> 00:37:36,640 Speaker 6: best life. So what's up with these little face invaders? Thanks? 706 00:37:36,880 --> 00:37:39,239 Speaker 2: You know, I'm a big believer in scientific education and 707 00:37:39,320 --> 00:37:42,080 Speaker 2: knowing stuff, but wow, I'm not sure I really want 708 00:37:42,120 --> 00:37:43,960 Speaker 2: to know about all the growth stuff that lives on 709 00:37:44,000 --> 00:37:44,440 Speaker 2: my face. 710 00:37:44,680 --> 00:37:48,840 Speaker 1: Too bad? Here it comes, okay. So, Demodex is a 711 00:37:48,920 --> 00:37:52,440 Speaker 1: genus of mites, and mites are related to erechnids, so 712 00:37:52,480 --> 00:37:54,799 Speaker 1: they're related to spiders and takes, but like they're their 713 00:37:54,800 --> 00:37:57,920 Speaker 1: own sort of thing, and they live on our faces. 714 00:37:58,320 --> 00:38:00,560 Speaker 1: There are two species that you tell to find on 715 00:38:00,600 --> 00:38:07,439 Speaker 1: your face, Demodex follicularum and Demodex brevis follicularum. Lives in 716 00:38:07,880 --> 00:38:11,720 Speaker 1: like our smaller hair follicles and like your eyelashes and stuff, 717 00:38:11,719 --> 00:38:13,480 Speaker 1: and so your hair follicles are like you know, the 718 00:38:13,480 --> 00:38:15,520 Speaker 1: holes where the hair shaft sort of goes in there. 719 00:38:15,920 --> 00:38:19,200 Speaker 1: They live inside of them. There're a social species, and 720 00:38:19,239 --> 00:38:22,360 Speaker 1: they eat skin cells that they find in there. The 721 00:38:22,440 --> 00:38:26,200 Speaker 1: other species usually lives near oil glands and stuff in 722 00:38:26,280 --> 00:38:30,040 Speaker 1: hair follicles also, and they're eating like the greasy stuff 723 00:38:30,080 --> 00:38:31,800 Speaker 1: that are oil glands make. 724 00:38:31,840 --> 00:38:34,120 Speaker 2: So that mean that they're really small. They're like smaller 725 00:38:34,120 --> 00:38:35,520 Speaker 2: than the width of a hair, so they can like 726 00:38:35,640 --> 00:38:37,520 Speaker 2: crawl into these follicles and have a snack. 727 00:38:37,960 --> 00:38:40,839 Speaker 1: Super tiny, you can't see them. They're less than half 728 00:38:40,920 --> 00:38:44,400 Speaker 1: a millimeter. The brevist one is particularly small, so without 729 00:38:44,400 --> 00:38:46,919 Speaker 1: a microscope you can't see them. You can't feel them. 730 00:38:47,160 --> 00:38:50,280 Speaker 2: But if you have clear visual imagery, now you're thinking 731 00:38:50,280 --> 00:38:53,160 Speaker 2: about them and you're imagining them crawling all over your face. 732 00:38:53,400 --> 00:38:56,320 Speaker 1: Oh but they save the crawling over your face for nighttime. 733 00:38:56,520 --> 00:39:00,160 Speaker 1: So right now they are in your pores eating their 734 00:39:00,560 --> 00:39:04,640 Speaker 1: dead skin buffet and their greas buffet. 735 00:39:04,960 --> 00:39:06,760 Speaker 2: All you can eat dead skin buffet. 736 00:39:07,680 --> 00:39:13,640 Speaker 1: Whoo. But when you fall asleep, they come out of 737 00:39:13,680 --> 00:39:17,040 Speaker 1: your pores and your follicles and they made on your face. 738 00:39:17,239 --> 00:39:18,640 Speaker 2: They made on your face. 739 00:39:19,120 --> 00:39:20,520 Speaker 1: Wow, on your face. 740 00:39:21,120 --> 00:39:23,160 Speaker 2: I guess for some people that's good news, you know, 741 00:39:23,320 --> 00:39:26,400 Speaker 2: to eat your own. I don't know. There are so 742 00:39:26,520 --> 00:39:28,480 Speaker 2: many jokes we could make here, but we're not going 743 00:39:28,520 --> 00:39:31,239 Speaker 2: to because you're already imagining them, so we don't have to. 744 00:39:31,640 --> 00:39:34,760 Speaker 1: That's right, that's right. Okay, So we had a listener 745 00:39:34,840 --> 00:39:38,080 Speaker 1: ask us in the past, how do pinworms know it's nighttime? 746 00:39:38,960 --> 00:39:41,799 Speaker 1: How do face mites know it's nighttime? I looked this up, 747 00:39:42,239 --> 00:39:44,600 Speaker 1: and first of all, it turns out they can detect lights, 748 00:39:44,640 --> 00:39:47,160 Speaker 1: so probably even from inside your hair follicles, they can 749 00:39:47,200 --> 00:39:49,680 Speaker 1: tell if the lights are on or the lights are off, so. 750 00:39:49,640 --> 00:39:52,239 Speaker 2: They can just like notice it's getting dark, and they're like, ooh, 751 00:39:52,400 --> 00:39:53,840 Speaker 2: it's time for some romance. 752 00:39:54,040 --> 00:39:55,080 Speaker 1: That's right, that's right. 753 00:39:55,200 --> 00:39:58,040 Speaker 2: Somebody's turned down the lights, putting on the insect, putting 754 00:39:58,080 --> 00:39:58,759 Speaker 2: on the algorithms. 755 00:39:59,000 --> 00:40:01,280 Speaker 1: Right, try, I'll stop. 756 00:40:01,520 --> 00:40:04,959 Speaker 2: So we are keeping that, Matt, that's gold. 757 00:40:05,200 --> 00:40:08,279 Speaker 1: Oh no, all right, okay, So it could be the light. 758 00:40:08,719 --> 00:40:10,680 Speaker 1: But they also and this is sort of interesting. A 759 00:40:10,719 --> 00:40:13,799 Speaker 1: couple episodes back, many episodes back, now, maybe we talked 760 00:40:13,840 --> 00:40:17,200 Speaker 1: about circadian rhythms, and we talked about how circadian rhythms 761 00:40:17,239 --> 00:40:21,120 Speaker 1: are this like interplay between proteins that are made by 762 00:40:21,120 --> 00:40:23,560 Speaker 1: your genes, and some of them are made more at night, 763 00:40:23,600 --> 00:40:25,359 Speaker 1: and some of them are made more during the day, 764 00:40:25,680 --> 00:40:27,560 Speaker 1: and they help you keep these twenty four hour cycles. 765 00:40:28,320 --> 00:40:31,280 Speaker 1: Somebody looked a group of researchers looked at the genome 766 00:40:31,440 --> 00:40:34,200 Speaker 1: of demodecs that live on our face, and they're missing 767 00:40:34,239 --> 00:40:36,239 Speaker 1: a lot of the genes that you'd need to make 768 00:40:36,280 --> 00:40:40,680 Speaker 1: the proteins that make circadian clocks, and so they think 769 00:40:40,800 --> 00:40:44,040 Speaker 1: that actually the mites are sort of bathed in the 770 00:40:44,080 --> 00:40:47,600 Speaker 1: melatonin that we make, and so instead of trying to 771 00:40:47,640 --> 00:40:50,280 Speaker 1: do their own circadian clocks, they're like, oh, the human 772 00:40:50,360 --> 00:40:53,480 Speaker 1: is oozing melatonin. Time for them to go to bed, 773 00:40:53,520 --> 00:40:56,160 Speaker 1: time for me to get it on, and so they 774 00:40:56,160 --> 00:40:58,000 Speaker 1: don't need to do it on their own anyway. That's 775 00:40:58,040 --> 00:41:00,920 Speaker 1: just a hypothesis. But there are other parasites that sort 776 00:41:00,920 --> 00:41:04,120 Speaker 1: of queue into what host hormones are doing and use 777 00:41:04,160 --> 00:41:05,759 Speaker 1: that information for their own purposes. 778 00:41:05,880 --> 00:41:08,000 Speaker 2: So they don't have their own internal clock, but they 779 00:41:08,000 --> 00:41:10,960 Speaker 2: have all these external triggers that tell them like when 780 00:41:11,000 --> 00:41:12,040 Speaker 2: it's algreen. 781 00:41:11,680 --> 00:41:17,080 Speaker 1: Time exactly exactly, can't. 782 00:41:16,840 --> 00:41:19,160 Speaker 2: Get enough of your face baby? 783 00:41:19,560 --> 00:41:23,640 Speaker 1: Oh got all right, that's enough, that's enough. Okay. So 784 00:41:23,640 --> 00:41:26,000 Speaker 1: so where do your mites come from? This is an 785 00:41:26,040 --> 00:41:29,719 Speaker 1: interesting question. So actually most people, by the time their 786 00:41:29,719 --> 00:41:32,560 Speaker 1: adults have mites, right, and a lot of kids have 787 00:41:32,640 --> 00:41:35,000 Speaker 1: mites too, And so somebody did a study to try 788 00:41:35,000 --> 00:41:37,320 Speaker 1: to figure out So imagine that you have a family 789 00:41:37,360 --> 00:41:41,040 Speaker 1: living together. You have two moms and two kids. The 790 00:41:41,400 --> 00:41:44,320 Speaker 1: two kids, if they were breastfed by one of the moms, 791 00:41:44,920 --> 00:41:48,120 Speaker 1: they are much more likely to have her mites than 792 00:41:48,160 --> 00:41:50,399 Speaker 1: the mites from the other mom, because another place where 793 00:41:50,440 --> 00:41:54,800 Speaker 1: you find these mites is on nipples, and so the mites, 794 00:41:54,840 --> 00:41:57,280 Speaker 1: you know, probably like jump off the nipples and onto 795 00:41:57,320 --> 00:41:59,359 Speaker 1: your face, and so you get your face mites from 796 00:41:59,400 --> 00:42:01,600 Speaker 1: your mom. And if you were to look at the 797 00:42:02,080 --> 00:42:05,399 Speaker 1: other mom in that couple, her face mites probably are 798 00:42:05,440 --> 00:42:08,720 Speaker 1: more like her mom's face mites. Does that all make sense? Yes, 799 00:42:10,000 --> 00:42:11,879 Speaker 1: something else you can thank your mom for. 800 00:42:14,400 --> 00:42:16,520 Speaker 2: And are these bad in any way or are they 801 00:42:16,560 --> 00:42:18,080 Speaker 2: good or are they just totally neutral? 802 00:42:18,280 --> 00:42:22,120 Speaker 1: Yeah? Good question. So other species have demodex mites too, 803 00:42:22,280 --> 00:42:24,719 Speaker 1: some of them can be sort of parasite like, but 804 00:42:24,800 --> 00:42:28,360 Speaker 1: it looks like our mites are usually not a problem, 805 00:42:28,360 --> 00:42:31,040 Speaker 1: and maybe they're sort of evolving in a trajectory away 806 00:42:31,040 --> 00:42:33,839 Speaker 1: from parasitism. But for most of us, we've got these 807 00:42:33,880 --> 00:42:37,080 Speaker 1: mites on our face will never notice it. But if 808 00:42:37,120 --> 00:42:41,160 Speaker 1: you end up being immuno compromised, sometimes you will start 809 00:42:41,200 --> 00:42:43,920 Speaker 1: having problems with these mites. If you're immunocompromised, it seems 810 00:42:43,960 --> 00:42:46,880 Speaker 1: like they're able to reproduce even more, and if you 811 00:42:46,960 --> 00:42:51,120 Speaker 1: have roseaesia, they can make your skin feel even more uncomfortable. 812 00:42:51,160 --> 00:42:54,200 Speaker 1: They don't cause the roseasia. But if you already have 813 00:42:54,480 --> 00:42:57,480 Speaker 1: like a problem with your skin getting irritated, having a 814 00:42:57,480 --> 00:42:59,480 Speaker 1: bunch of mites on your face is probably not going 815 00:42:59,520 --> 00:43:02,319 Speaker 1: to help any thing. They also contribute to what I 816 00:43:02,320 --> 00:43:05,360 Speaker 1: think is called here's here's another opportunity for me to 817 00:43:05,480 --> 00:43:11,440 Speaker 1: mispronounce something. Love it bleferitis. Have you heard of bleferitis? 818 00:43:11,480 --> 00:43:13,880 Speaker 2: Daniel, never heard of it? Or maybe it's not pronounced 819 00:43:13,880 --> 00:43:15,239 Speaker 2: that way, but it doesn't ring a bell. 820 00:43:16,719 --> 00:43:19,040 Speaker 1: Okay, it's probably not pronounced that way. But so it's 821 00:43:19,120 --> 00:43:21,880 Speaker 1: essentially like, you get this like crusty stuff on your eyelids, 822 00:43:22,560 --> 00:43:25,680 Speaker 1: and they think that the mites living in your eyelashes 823 00:43:25,800 --> 00:43:28,279 Speaker 1: could be contributing to that. And this tends to particularly 824 00:43:28,320 --> 00:43:31,560 Speaker 1: be a problem in elderly folks, and so you know, 825 00:43:31,640 --> 00:43:34,880 Speaker 1: this also could maybe be an immuneo compromise sort of 826 00:43:34,920 --> 00:43:37,520 Speaker 1: situation contributing to it. But for most of us, the 827 00:43:37,560 --> 00:43:38,200 Speaker 1: mites aren't bad. 828 00:43:38,239 --> 00:43:40,480 Speaker 2: It's amazing you're gonna have this whole ecosystem living on 829 00:43:40,520 --> 00:43:43,879 Speaker 2: your face and snacking on your skin and not really 830 00:43:43,960 --> 00:43:46,640 Speaker 2: hurting you at all. They're just like friendly neighbors. Yeah, 831 00:43:46,640 --> 00:43:49,000 Speaker 2: are they benefit to help clean stuff up? Like all 832 00:43:49,000 --> 00:43:51,600 Speaker 2: this dead skin? Would it be bad? If you didn't 833 00:43:51,600 --> 00:43:52,640 Speaker 2: have somebody munching on it. 834 00:43:52,800 --> 00:43:55,520 Speaker 1: No, I don't think so. I didn't. I didn't come 835 00:43:55,520 --> 00:43:58,640 Speaker 1: across anything saying that the mites are helpful. And you know, 836 00:43:58,719 --> 00:44:01,160 Speaker 1: especially these days were we've got like soaps to wash 837 00:44:01,200 --> 00:44:04,120 Speaker 1: our face, we've got ways to exfoliate. I don't think 838 00:44:04,160 --> 00:44:07,600 Speaker 1: we really they're not really contributing to the cleanliness of 839 00:44:07,640 --> 00:44:10,880 Speaker 1: our faces. And you see similar things happening in dogs. 840 00:44:10,880 --> 00:44:14,640 Speaker 1: So dog species have their own demodex mites. And sometimes 841 00:44:14,640 --> 00:44:17,560 Speaker 1: you'll get bold patches on puppies because their immune systems 842 00:44:17,560 --> 00:44:20,480 Speaker 1: aren't good yet, they're just developing, and those bold patches 843 00:44:20,480 --> 00:44:22,239 Speaker 1: will be areas where the mites are sort of getting 844 00:44:22,280 --> 00:44:24,719 Speaker 1: out of control. But if you just wait long enough, 845 00:44:24,719 --> 00:44:26,560 Speaker 1: in a lot of cases, it'll clear up because the 846 00:44:26,560 --> 00:44:29,400 Speaker 1: puppies immune system will mature and they'll get those mite 847 00:44:29,400 --> 00:44:32,640 Speaker 1: populations back under control and that patch will sort of 848 00:44:32,640 --> 00:44:33,480 Speaker 1: grow back in again. 849 00:44:33,800 --> 00:44:34,160 Speaker 2: Wow. 850 00:44:34,480 --> 00:44:38,880 Speaker 1: But Daniel, I bet you are wondering does demodex poop? 851 00:44:42,440 --> 00:44:45,799 Speaker 2: I was wondering if we could complete the dk EU 852 00:44:45,920 --> 00:44:49,359 Speaker 2: bingo and have either poop or cannibalism. So which way 853 00:44:49,400 --> 00:44:49,839 Speaker 2: are we going? 854 00:44:50,000 --> 00:44:50,760 Speaker 1: We're going poop? 855 00:44:50,800 --> 00:44:51,160 Speaker 2: All right? 856 00:44:51,320 --> 00:44:53,200 Speaker 1: I didn't find any evidence that they eat each other. 857 00:44:54,880 --> 00:44:59,200 Speaker 1: And so for a long time, the going knowledge was 858 00:44:59,200 --> 00:45:02,200 Speaker 1: that demodexs do don't poop. They store up all of 859 00:45:02,239 --> 00:45:05,440 Speaker 1: the waste that they make. They only live about three weeks. 860 00:45:05,600 --> 00:45:08,200 Speaker 1: And so actually, if you live to be about seventy 861 00:45:08,239 --> 00:45:11,600 Speaker 1: three years old and your demodex each live three weeks, 862 00:45:11,880 --> 00:45:16,000 Speaker 1: you're probably host to something like twelve hundred generations of 863 00:45:16,080 --> 00:45:18,360 Speaker 1: mites wow, throughout your life, which is just crazy. 864 00:45:18,400 --> 00:45:21,760 Speaker 2: But I have an input output question. They have inputs, Yeah, 865 00:45:21,760 --> 00:45:24,840 Speaker 2: they have no outputs. Are they just getting bigger and 866 00:45:24,880 --> 00:45:26,719 Speaker 2: bigger and bigger or what's going on? 867 00:45:26,920 --> 00:45:28,640 Speaker 1: Well, so the idea was, you know, three weeks is 868 00:45:28,640 --> 00:45:30,359 Speaker 1: not a long time. They just they store it. They 869 00:45:30,360 --> 00:45:32,080 Speaker 1: do get a little bit bigger, and then when they die, 870 00:45:32,120 --> 00:45:34,960 Speaker 1: they just kind of like you know, release everything. 871 00:45:36,280 --> 00:45:38,520 Speaker 2: So they just like die in the big poopy corpse 872 00:45:38,520 --> 00:45:39,040 Speaker 2: in your face. 873 00:45:39,520 --> 00:45:43,919 Speaker 1: Yeah, that's right, that's right. But actually, some very good 874 00:45:44,000 --> 00:45:47,279 Speaker 1: slew thing in twenty twenty two with some great photos 875 00:45:47,719 --> 00:45:52,800 Speaker 1: found an anus. Yay, this is why you fund basic 876 00:45:52,880 --> 00:45:53,640 Speaker 1: science people. 877 00:45:54,239 --> 00:45:56,719 Speaker 2: I want to use very powerful telescopes to look for 878 00:45:56,840 --> 00:45:57,719 Speaker 2: tiny anuses. 879 00:45:58,320 --> 00:46:01,480 Speaker 1: Well, tiny anuses have been found. They also found a 880 00:46:01,520 --> 00:46:04,480 Speaker 1: tiny penis on their head, so that's where the males 881 00:46:04,480 --> 00:46:09,719 Speaker 1: have their their wieners. So anyway, all kinds of important information, 882 00:46:09,800 --> 00:46:13,520 Speaker 1: but we haven't actually answered the listener's question yet, which is. 883 00:46:13,560 --> 00:46:15,600 Speaker 2: Oh, yeah, I have lust track. What was the question again? 884 00:46:16,080 --> 00:46:20,279 Speaker 1: Why why would you have this horrible thing? And I 885 00:46:20,360 --> 00:46:24,280 Speaker 1: actually I feel like it's obvious, like we are a 886 00:46:24,400 --> 00:46:29,320 Speaker 1: super abundant species. We are very close to our offspring, 887 00:46:29,360 --> 00:46:32,399 Speaker 1: you know, sometimes they sleep next to us, we breastfeed them. 888 00:46:32,920 --> 00:46:36,600 Speaker 1: It is very easy to imagine transmitting this, you know, 889 00:46:36,680 --> 00:46:39,359 Speaker 1: parasite or symbiant if it's not bad for us, like 890 00:46:39,440 --> 00:46:42,480 Speaker 1: this this critter from one organism to another. We are 891 00:46:42,520 --> 00:46:45,200 Speaker 1: a super abundant species. And you know, they're so tiny 892 00:46:45,239 --> 00:46:47,279 Speaker 1: that we don't even know they're there, so we're not 893 00:46:47,440 --> 00:46:50,400 Speaker 1: attacking them or anything like that. I mean, it seems 894 00:46:50,440 --> 00:46:54,600 Speaker 1: to me like we are a great ecosystem for a 895 00:46:54,640 --> 00:46:55,560 Speaker 1: little critter like. 896 00:46:55,520 --> 00:46:58,680 Speaker 2: This, And so you know, so you're why not basically. 897 00:46:58,640 --> 00:47:01,840 Speaker 1: Yeah, that's right. Yeah. Evolution and fills any niche that 898 00:47:01,920 --> 00:47:03,960 Speaker 1: it can find that it's got a path to, and 899 00:47:04,440 --> 00:47:06,680 Speaker 1: our faces were one of those paths. 900 00:47:07,120 --> 00:47:09,600 Speaker 2: And is there like a whole ecosystem, there are there 901 00:47:09,640 --> 00:47:12,759 Speaker 2: predators that gobble these things or do they live a 902 00:47:12,800 --> 00:47:14,000 Speaker 2: predator freed lifestyle. 903 00:47:14,480 --> 00:47:16,839 Speaker 1: I don't know, that's a question. 904 00:47:16,920 --> 00:47:18,120 Speaker 2: Because they sound delicious. 905 00:47:19,000 --> 00:47:24,120 Speaker 1: Sure, I feel like they probably have parasites also that 906 00:47:24,160 --> 00:47:24,920 Speaker 1: infect them. 907 00:47:24,840 --> 00:47:27,800 Speaker 2: Or something might exactly, maybe they have face mites. 908 00:47:27,960 --> 00:47:29,400 Speaker 1: Maybe they do have face mites. 909 00:47:29,640 --> 00:47:31,440 Speaker 2: It's face mites all the way down, isn't it. 910 00:47:31,600 --> 00:47:35,160 Speaker 1: Oh my gosh, we figured it out. Yeah. So I 911 00:47:35,200 --> 00:47:38,879 Speaker 1: didn't find any stories about them having parasites or predators, 912 00:47:39,160 --> 00:47:41,520 Speaker 1: but I would love to know. And you know, we 913 00:47:41,600 --> 00:47:45,960 Speaker 1: are probably their biggest problem when we wash and exfoliate 914 00:47:45,960 --> 00:47:48,760 Speaker 1: our faces, but they hang in there inside our pores. 915 00:47:49,040 --> 00:47:50,880 Speaker 2: Well, we have brought you up to speed to the 916 00:47:50,920 --> 00:47:54,640 Speaker 2: forefront of human knowledge on face mites. Let's check in 917 00:47:54,719 --> 00:47:57,560 Speaker 2: with our listener and see if we have scratched the 918 00:47:57,719 --> 00:47:58,560 Speaker 2: lunars itch. 919 00:47:59,200 --> 00:48:03,120 Speaker 6: All right, hey, thank you very much for that excellent answer, Kelly, 920 00:48:03,280 --> 00:48:08,560 Speaker 6: and I greatly appreciate knowing that these little creatures are 921 00:48:09,160 --> 00:48:13,640 Speaker 6: just simply getting by. It's still a little bit weird 922 00:48:13,640 --> 00:48:17,680 Speaker 6: to know that they get up some interesting nocturnal activity. 923 00:48:17,719 --> 00:48:21,720 Speaker 6: At least someone's having fun. And thank you very much, Daniel. 924 00:48:21,800 --> 00:48:24,239 Speaker 6: I will never listen to Berry White the same way 925 00:48:24,280 --> 00:48:28,160 Speaker 6: again without having this certain mental image of little nights 926 00:48:28,800 --> 00:48:32,520 Speaker 6: and their heads having fun on my face. Thanks a lot, guys, 927 00:48:32,560 --> 00:48:35,759 Speaker 6: I appreciate it. Keep up the good works, you guys rock. 928 00:48:36,200 --> 00:48:38,960 Speaker 1: Thank you so much everybody for your questions. We appreciate 929 00:48:39,000 --> 00:48:41,520 Speaker 1: them so much. There are so many topics that I 930 00:48:41,680 --> 00:48:43,680 Speaker 1: would love to have the time to dig into, and 931 00:48:43,719 --> 00:48:46,600 Speaker 1: when you ask about them, I get to I appreciate 932 00:48:46,680 --> 00:48:48,040 Speaker 1: you all so much. 933 00:48:48,280 --> 00:48:50,240 Speaker 2: We do. We love hearing from you. I love opening 934 00:48:50,239 --> 00:48:53,360 Speaker 2: my email in the morning and seeing all the incredible 935 00:48:53,360 --> 00:48:57,799 Speaker 2: diversity of curiosity and questions and wondering and joy. We 936 00:48:57,880 --> 00:49:01,800 Speaker 2: love hearing from you. That makes this podcast conversation between 937 00:49:01,960 --> 00:49:04,640 Speaker 2: us and you, not just between me and Kelly. So 938 00:49:04,680 --> 00:49:06,080 Speaker 2: thanks everyone for joining in. 939 00:49:06,400 --> 00:49:17,000 Speaker 1: Thank you until next time. Daniel and Kelly's Extraordinary Universe 940 00:49:17,080 --> 00:49:20,200 Speaker 1: is produced by iHeartRadio. We would love to hear from you, 941 00:49:20,440 --> 00:49:21,480 Speaker 1: We really would. 942 00:49:21,640 --> 00:49:24,400 Speaker 2: We want to know what questions you have about this 943 00:49:24,600 --> 00:49:26,240 Speaker 2: Extraordinary Universe. 944 00:49:26,320 --> 00:49:29,279 Speaker 1: We want to know your thoughts on recent shows, suggestions 945 00:49:29,280 --> 00:49:32,279 Speaker 1: for future shows. If you contact us, we will get 946 00:49:32,320 --> 00:49:32,719 Speaker 1: back to you. 947 00:49:33,000 --> 00:49:36,520 Speaker 2: We really mean it. We answer every message. Email us 948 00:49:36,560 --> 00:49:39,759 Speaker 2: at questions at Danielankelly. 949 00:49:38,840 --> 00:49:40,879 Speaker 1: Dot org, or you can find us on social media. 950 00:49:41,000 --> 00:49:44,839 Speaker 1: We have accounts on X, Instagram, Blue Sky and on 951 00:49:44,880 --> 00:49:46,840 Speaker 1: all of those platforms. You can find us at D 952 00:49:47,280 --> 00:49:48,800 Speaker 1: and K Universe. 953 00:49:49,040 --> 00:49:50,560 Speaker 2: Don't be shy, write to us,