1 00:00:04,120 --> 00:00:07,000 Speaker 1: Welcome to Stuff to Blow Your Mind from how stuff 2 00:00:07,040 --> 00:00:14,920 Speaker 1: Works dot com. Hey, welcome to Stuff to Blow your Mind. 3 00:00:15,280 --> 00:00:17,360 Speaker 1: My name is Robert Lamb, and I'm a senior writer 4 00:00:17,440 --> 00:00:19,239 Speaker 1: here at how stuff works dot com. And with me 5 00:00:19,320 --> 00:00:23,880 Speaker 1: today is Julie Douglas, who is a longtime writer, editor, 6 00:00:23,880 --> 00:00:27,040 Speaker 1: pyrotechnician here at how stuff works dot com. Welcome to 7 00:00:27,080 --> 00:00:30,520 Speaker 1: the podcast, Julie, Thanks Robert, I'm really excited to be here. Yeah, 8 00:00:30,560 --> 00:00:34,560 Speaker 1: we're gonna be uh taking the podcast often an entirely 9 00:00:34,560 --> 00:00:37,000 Speaker 1: different trajectory now. You know, previously we were stuff in 10 00:00:37,000 --> 00:00:38,920 Speaker 1: the science lab. Now we're stuff to blow your mind. 11 00:00:39,320 --> 00:00:42,520 Speaker 1: It's kind of like a a joy division to new order, 12 00:00:43,159 --> 00:00:47,240 Speaker 1: Um Jefferson Airplane to Jefferson Starship kind of shift here. 13 00:00:47,520 --> 00:00:49,920 Speaker 1: It's you know, the old version was great, but the 14 00:00:49,920 --> 00:00:52,479 Speaker 1: new version is going to be even more amazing. That's right. 15 00:00:52,560 --> 00:00:55,440 Speaker 1: I mean we have everything from like our cat's shape 16 00:00:55,480 --> 00:00:58,960 Speaker 1: shifters to why are we existing here in this world? 17 00:00:58,960 --> 00:01:01,680 Speaker 1: In this universe? I mean, we're just gonna open the 18 00:01:01,680 --> 00:01:06,160 Speaker 1: portal and we're gonna start the new iteration. Yes, all right, 19 00:01:06,800 --> 00:01:09,960 Speaker 1: let's get this started. Yeah, let's do it. As it happens, 20 00:01:10,000 --> 00:01:13,680 Speaker 1: we are both cat owners so we are very familiar 21 00:01:13,760 --> 00:01:16,440 Speaker 1: with the site of a cat in its various stages 22 00:01:16,440 --> 00:01:19,039 Speaker 1: of sleep, which it seems like they have many, just 23 00:01:19,080 --> 00:01:23,520 Speaker 1: based on their their bodily position, right, It's true, they're elaborate. Sometimes. 24 00:01:23,760 --> 00:01:28,280 Speaker 1: I really love watching my cat in slumber, and I 25 00:01:28,360 --> 00:01:30,560 Speaker 1: look at him sometimes and think, oh my god, why 26 00:01:30,600 --> 00:01:33,280 Speaker 1: can't I be you? It just seems so like the 27 00:01:33,600 --> 00:01:36,319 Speaker 1: master of the universe here in your sixteen hours of 28 00:01:36,480 --> 00:01:39,720 Speaker 1: various positions of sleep. Yeah, we refer to them to 29 00:01:39,880 --> 00:01:44,040 Speaker 1: our cats sleep levels based on what kind of bread 30 00:01:44,080 --> 00:01:46,880 Speaker 1: product she resembles. So there's like bread mode where she 31 00:01:46,920 --> 00:01:48,760 Speaker 1: looks kind of like a loaf of bread, and then 32 00:01:48,760 --> 00:01:50,600 Speaker 1: of course when she gets really relaxed, she goes into 33 00:01:50,640 --> 00:01:53,320 Speaker 1: full on bagel mode, where she's like, you know, very circular, 34 00:01:53,400 --> 00:01:56,960 Speaker 1: kind of looks like a cinnamon bun. Wow. So, and 35 00:01:56,960 --> 00:01:59,640 Speaker 1: and they do sleep a lot. In fact, let's see, 36 00:01:59,640 --> 00:02:02,640 Speaker 1: what's the uh be terrible for cats? It's like fifty 37 00:02:03,240 --> 00:02:06,160 Speaker 1: point six percent of the day give or take leopards 38 00:02:06,160 --> 00:02:09,040 Speaker 1: of like twelve point one hours. Yeah, yeah, And I 39 00:02:09,040 --> 00:02:11,000 Speaker 1: would definitely say my cats more like maybe on the 40 00:02:11,040 --> 00:02:14,320 Speaker 1: sixteen hour. And he's seriously just doesn't do a whole lot. 41 00:02:14,360 --> 00:02:15,640 Speaker 1: And I don't know if that's because he's a main 42 00:02:15,720 --> 00:02:20,040 Speaker 1: con and he's like this twenty six pound um cat. 43 00:02:20,160 --> 00:02:24,000 Speaker 1: That's you know, like I said, the master of the universe. Um, 44 00:02:24,040 --> 00:02:25,800 Speaker 1: he can do whatever he wants. So if he wants 45 00:02:25,800 --> 00:02:28,839 Speaker 1: to sleep for sixteen hours, it's going to happen. It's 46 00:02:29,000 --> 00:02:32,640 Speaker 1: it's it's interesting because obviously most humans with you know, 47 00:02:32,800 --> 00:02:36,400 Speaker 1: jobs and and you know responsibilities, don't sleep twelve hours 48 00:02:36,400 --> 00:02:39,120 Speaker 1: a day. Um. Yeah, so it's more like in the 49 00:02:39,160 --> 00:02:42,040 Speaker 1: six to eight range. And you see a wide variety 50 00:02:42,080 --> 00:02:46,079 Speaker 1: of sleep patterns throughout the animal kingdom. So so yeah, 51 00:02:46,080 --> 00:02:49,000 Speaker 1: that's that's what we're gonna be chatting about today. Um, 52 00:02:49,040 --> 00:02:51,600 Speaker 1: you know, do all animals sleep? And what does that 53 00:02:51,639 --> 00:02:54,440 Speaker 1: consist of for different members of the animal kingdom? Yeah? 54 00:02:54,440 --> 00:02:56,720 Speaker 1: And why do our cats sleep so much? Yeah? That's 55 00:02:56,760 --> 00:02:58,919 Speaker 1: you know, I think that is actually a universal question 56 00:02:58,960 --> 00:03:01,240 Speaker 1: that has got to be as words. So we're going 57 00:03:01,280 --> 00:03:04,640 Speaker 1: to try to do that by first approaching sleep. Yeah, 58 00:03:04,639 --> 00:03:08,880 Speaker 1: what is sleep? Sleep? I think that obviously it's really important. 59 00:03:08,840 --> 00:03:12,200 Speaker 1: It is profoundly important on our existence and how we 60 00:03:12,280 --> 00:03:17,880 Speaker 1: operate physically, mentally, emotionally. Um, and I think that we 61 00:03:18,000 --> 00:03:20,720 Speaker 1: take it for granted but and we think, Okay, we 62 00:03:20,800 --> 00:03:22,880 Speaker 1: just close our eyes and we wake up and we 63 00:03:23,000 --> 00:03:26,000 Speaker 1: get going. Um. In fact, there's so much more going on, 64 00:03:26,040 --> 00:03:27,560 Speaker 1: and I think that we kind of need to revisit 65 00:03:27,600 --> 00:03:30,080 Speaker 1: the basics really quickly just to get an idea of 66 00:03:30,080 --> 00:03:33,960 Speaker 1: how complex sleep is. So you so let's just do 67 00:03:34,040 --> 00:03:36,400 Speaker 1: a quick recap. I'm sure we've all heard this in 68 00:03:36,880 --> 00:03:38,640 Speaker 1: school at one point or another, but you know that 69 00:03:38,720 --> 00:03:42,480 Speaker 1: there's stage one, which is the lightest sleep, and that's 70 00:03:42,480 --> 00:03:44,680 Speaker 1: when we kind of start to relax our muscles a 71 00:03:44,680 --> 00:03:48,600 Speaker 1: little bit. And is this the point where you're you're 72 00:03:48,600 --> 00:03:51,480 Speaker 1: reading your book at night and you suddenly start reading 73 00:03:51,640 --> 00:03:53,880 Speaker 1: words that aren't actually in the book. Yeah, they all 74 00:03:53,880 --> 00:03:56,320 Speaker 1: start to sort of melt together. And this is also 75 00:03:56,400 --> 00:03:59,280 Speaker 1: the point to where you feel like, well, they're like, 76 00:03:59,320 --> 00:04:01,680 Speaker 1: oh gosh, feels so great. You know that little voice 77 00:04:01,720 --> 00:04:04,880 Speaker 1: in your head I think, so I fallen asleep, that's awesome. 78 00:04:05,040 --> 00:04:06,280 Speaker 1: And then all of a sudden, you feel like you're 79 00:04:06,280 --> 00:04:09,240 Speaker 1: tripping or falling. Um, And that's really your muscles sort 80 00:04:09,280 --> 00:04:12,720 Speaker 1: of working themselves out. So that's stage one, and stage 81 00:04:12,760 --> 00:04:16,520 Speaker 1: two is when your breathing patterns and your heart rates 82 00:04:16,520 --> 00:04:19,159 Speaker 1: start to slow down a little bit. And your body 83 00:04:19,160 --> 00:04:21,480 Speaker 1: temperature takes a little bit of a dip. And then 84 00:04:21,600 --> 00:04:24,240 Speaker 1: stage three or when the delta waves start to roll 85 00:04:24,360 --> 00:04:27,760 Speaker 1: in and lull you into a deeper sleep, although you're 86 00:04:27,760 --> 00:04:31,120 Speaker 1: still sort of fighting with that lighter sleep. And then 87 00:04:31,240 --> 00:04:34,680 Speaker 1: stage four is known as the delta sleep, which, um, 88 00:04:34,760 --> 00:04:36,919 Speaker 1: it sounds like you should really say the adult asleep 89 00:04:36,960 --> 00:04:41,919 Speaker 1: because it you know, it's that really slow wave. Um. 90 00:04:41,960 --> 00:04:45,839 Speaker 1: And that's when you're getting thirty minutes of truly deep sleep. 91 00:04:46,000 --> 00:04:49,640 Speaker 1: And that is also when you're capable of sleep walking. 92 00:04:49,839 --> 00:04:54,159 Speaker 1: So yeah, So I don't know if you ever sleepwalked 93 00:04:54,200 --> 00:04:56,080 Speaker 1: when you were a little No, I don't think I did. 94 00:04:56,320 --> 00:04:58,520 Speaker 1: Know I did a lot, and so my parents would 95 00:04:58,560 --> 00:05:00,640 Speaker 1: see me cruising through the house like three am, and 96 00:05:01,040 --> 00:05:03,239 Speaker 1: my hands would be up like Frankenstein. So I literally 97 00:05:03,279 --> 00:05:06,360 Speaker 1: thought I was Frankenstein. I was rolling around the house 98 00:05:06,400 --> 00:05:08,960 Speaker 1: like that. But wait, in the dreams or just as 99 00:05:08,960 --> 00:05:11,400 Speaker 1: a child, you were convinced you were Frankenstein in the dream. 100 00:05:11,520 --> 00:05:13,440 Speaker 1: In the dream, yeah, I mean, because kids are weird, 101 00:05:13,520 --> 00:05:16,400 Speaker 1: I could you know, that's kind of awesome. I kind 102 00:05:16,400 --> 00:05:18,520 Speaker 1: of wish that I had been a kid who thought 103 00:05:18,520 --> 00:05:21,280 Speaker 1: that she was Frankenstein because I could really freak out 104 00:05:21,279 --> 00:05:26,440 Speaker 1: the neighbors and just dream fire. Um. That sounded like 105 00:05:26,520 --> 00:05:29,479 Speaker 1: Robert de Niro's Frankenstein. Sorry about that. Um. And then 106 00:05:29,520 --> 00:05:34,440 Speaker 1: stage five is when remickers. So that's when you're dreaming, um. 107 00:05:34,560 --> 00:05:37,440 Speaker 1: And that's when you're really working things out, all that 108 00:05:37,520 --> 00:05:41,599 Speaker 1: data that you've processed throughout the day. Um. And that's 109 00:05:41,640 --> 00:05:44,320 Speaker 1: also where you might be having a dream that's say 110 00:05:44,680 --> 00:05:47,600 Speaker 1: a dog is mauling your face, god forbid, and a 111 00:05:47,720 --> 00:05:49,479 Speaker 1: dog might be having a dream where it's mauling a 112 00:05:49,520 --> 00:05:54,359 Speaker 1: humans face exactly. Yes, yeah, and total totally parallel dreams 113 00:05:54,360 --> 00:05:56,640 Speaker 1: at the same time. And the cool thing about this 114 00:05:56,760 --> 00:06:00,240 Speaker 1: is that, uh, you have a sort of built in mechanism, 115 00:06:00,400 --> 00:06:03,640 Speaker 1: paralysis mechanism to make sure that you don't freak out 116 00:06:03,720 --> 00:06:06,440 Speaker 1: during that time period, so that dog doesn't leap out 117 00:06:06,480 --> 00:06:09,760 Speaker 1: and try to bite in its dream and I don't 118 00:06:09,800 --> 00:06:12,320 Speaker 1: try to you know, take the dog off of me 119 00:06:12,360 --> 00:06:15,240 Speaker 1: and smash it or interesting. So like that. So many 120 00:06:15,279 --> 00:06:17,480 Speaker 1: of these episodes you hear about where like somebody's having 121 00:06:17,520 --> 00:06:19,640 Speaker 1: a dream and they start like strangling their spouse or 122 00:06:19,680 --> 00:06:22,520 Speaker 1: something like you know, um, like that's not in this 123 00:06:22,600 --> 00:06:25,479 Speaker 1: stage then no, No, I think there's something else going on. Well, yeah, 124 00:06:25,480 --> 00:06:29,520 Speaker 1: because I think I'm probably thinking of Ozzy Osborne. So well, 125 00:06:30,080 --> 00:06:32,680 Speaker 1: you have to wonder too if there are certain medications 126 00:06:32,760 --> 00:06:37,719 Speaker 1: or substances that might be messing with the natural rhythms. Yeah, 127 00:06:37,960 --> 00:06:39,960 Speaker 1: I mean, I don't know that Azzy was ever on anything, 128 00:06:40,040 --> 00:06:43,600 Speaker 1: but no, no, yeah, I mean that's that's pretty far 129 00:06:43,680 --> 00:06:47,679 Speaker 1: fetched for him. But yes, so you never know. That's, um, 130 00:06:47,720 --> 00:06:50,719 Speaker 1: there's certainly external forces that could be acting on that. Okay. 131 00:06:50,800 --> 00:06:54,240 Speaker 1: So there, So we're in this stage, we're dreaming the 132 00:06:54,320 --> 00:06:57,000 Speaker 1: brains being cleared up, and we're going through these stages 133 00:06:57,240 --> 00:07:00,640 Speaker 1: about ninety minutes every ninety minutes, so there's a ton 134 00:07:00,680 --> 00:07:02,919 Speaker 1: of stuff that's going on, and we're also kind of 135 00:07:02,960 --> 00:07:05,320 Speaker 1: flailing around, moving around. I think I've read a stat 136 00:07:05,360 --> 00:07:07,680 Speaker 1: somewhere that we move around at least seven times per hour. 137 00:07:08,360 --> 00:07:11,200 Speaker 1: So it's not the it's not just the slumber that 138 00:07:11,240 --> 00:07:13,560 Speaker 1: we think of. That's all peaceful and you know, the 139 00:07:13,600 --> 00:07:16,080 Speaker 1: cats called up by your head. I need that staff 140 00:07:16,080 --> 00:07:18,280 Speaker 1: next time I'm kicked out of bed at three in 141 00:07:18,280 --> 00:07:20,600 Speaker 1: the morning from moving too much. Yeah, yeah, see that 142 00:07:20,600 --> 00:07:25,560 Speaker 1: that would be helpful maybe maybe, Yeah, I mean probably 143 00:07:25,560 --> 00:07:27,800 Speaker 1: can't like actually present the stats at three in the morning, 144 00:07:27,840 --> 00:07:30,760 Speaker 1: be like, whoa wait, slow down, check out this review, 145 00:07:30,880 --> 00:07:33,960 Speaker 1: this the study, and the Scientific American. I'm totally supposed 146 00:07:33,960 --> 00:07:35,400 Speaker 1: to move around. You should be concerned if I'm not 147 00:07:35,520 --> 00:07:37,640 Speaker 1: kicking you in my sleep, you know. Yeah, on second FID, 148 00:07:37,640 --> 00:07:41,560 Speaker 1: that might exacerbating the situation. UM. So it's good to 149 00:07:41,760 --> 00:07:44,600 Speaker 1: have an understanding of just what basically what sleep is, 150 00:07:44,640 --> 00:07:48,360 Speaker 1: because that's the model that we use UM to study 151 00:07:48,400 --> 00:07:52,640 Speaker 1: other animals, other creatures. We know about theta waves delta waves, 152 00:07:52,640 --> 00:07:54,680 Speaker 1: so you know that when they go into these slow 153 00:07:54,840 --> 00:08:00,000 Speaker 1: low wave states, that there that their brains are preoccupy 154 00:08:00,040 --> 00:08:02,680 Speaker 1: hid and that they're dreaming or sleeping, and that's what 155 00:08:02,720 --> 00:08:05,480 Speaker 1: we assume at least. So taking that data, we can 156 00:08:05,520 --> 00:08:09,280 Speaker 1: now look at say our cats, and UM measure whether 157 00:08:09,360 --> 00:08:11,600 Speaker 1: or not they are actually dreaming. And though it's obvious 158 00:08:11,680 --> 00:08:14,480 Speaker 1: to us, especially when they're twitching around and chasing mice 159 00:08:14,560 --> 00:08:17,440 Speaker 1: or whatever they're doing in the dream UM, but that 160 00:08:17,520 --> 00:08:22,320 Speaker 1: still doesn't necessarily answer why they are sleeping so much. UM. 161 00:08:22,400 --> 00:08:25,120 Speaker 1: So that's something that we can look at a little 162 00:08:25,120 --> 00:08:28,000 Speaker 1: bit closer. But I think within the case of our cats, 163 00:08:28,080 --> 00:08:31,920 Speaker 1: it may be that we've kind of done everything for 164 00:08:31,960 --> 00:08:34,200 Speaker 1: them and I'm going to go out all in here 165 00:08:34,600 --> 00:08:38,199 Speaker 1: because they don't necessarily have type from predators. They have 166 00:08:38,240 --> 00:08:40,920 Speaker 1: a food source, so they're all nice and cush you. 167 00:08:41,080 --> 00:08:43,560 Speaker 1: So it's some people say that maybe just that they 168 00:08:43,600 --> 00:08:47,920 Speaker 1: don't have, um, the impetus there too to be more 169 00:08:48,000 --> 00:08:51,640 Speaker 1: of a predator themselves and spend more time awake. Well, 170 00:08:51,679 --> 00:08:55,080 Speaker 1: certainly for indoor totally indoor cats that would be the case. 171 00:08:56,040 --> 00:09:00,120 Speaker 1: Are still goes outside and kills things and probably us 172 00:09:00,120 --> 00:09:02,679 Speaker 1: to avoid things every now and so. So that might 173 00:09:02,720 --> 00:09:04,760 Speaker 1: be why you're cat sleeping twelve hours and my cat 174 00:09:04,880 --> 00:09:07,000 Speaker 1: is landing around for sixteen hours. Oh yeah, it's kind 175 00:09:07,000 --> 00:09:09,080 Speaker 1: of like, hey, there's nothing going on here, I'm going 176 00:09:09,120 --> 00:09:12,160 Speaker 1: to go into the chipmunk dream. Yeah exactly. Yeah, it's 177 00:09:12,200 --> 00:09:14,720 Speaker 1: kind of boring here that or sometimes I think of 178 00:09:14,760 --> 00:09:18,800 Speaker 1: the movie Inception. Okay, sometimes I think that my cats 179 00:09:18,880 --> 00:09:23,440 Speaker 1: just kind of practicing to um put some sort of 180 00:09:23,480 --> 00:09:25,640 Speaker 1: thoughts in my subconscious when I'm make sure I'm dreaming. 181 00:09:25,840 --> 00:09:28,439 Speaker 1: They probably are. Is that is that crazy cat lady 182 00:09:28,480 --> 00:09:30,600 Speaker 1: talk a little bit? But I mean, you spend enough 183 00:09:30,640 --> 00:09:33,640 Speaker 1: time with a cats, those those guys are weird. Um 184 00:09:33,720 --> 00:09:36,800 Speaker 1: the thank you for comforting me. Well, the other thing 185 00:09:36,840 --> 00:09:40,160 Speaker 1: about cats and their predator nature. I've I've read some 186 00:09:40,160 --> 00:09:44,400 Speaker 1: some arguments that if society were fall apart um and 187 00:09:44,640 --> 00:09:46,640 Speaker 1: you know, in humans were gone the next day, like 188 00:09:47,160 --> 00:09:49,840 Speaker 1: you know, all the cats would obviously go feral. But 189 00:09:49,840 --> 00:09:52,439 Speaker 1: but domestic cats would have a better shot at surviving 190 00:09:52,480 --> 00:09:57,600 Speaker 1: as a species because they continue these rehearsals for you know, 191 00:09:57,760 --> 00:10:01,960 Speaker 1: for predation. You know, they're uh, they continue to even 192 00:10:01,960 --> 00:10:04,440 Speaker 1: if they're not hunting there, you know, they're attacking things 193 00:10:04,480 --> 00:10:07,280 Speaker 1: in your living room. You know, they're they're continuing the exercises. 194 00:10:07,360 --> 00:10:10,520 Speaker 1: It's like a constant terrorist training camp in your living room, 195 00:10:10,559 --> 00:10:14,600 Speaker 1: you know. Um, and and while dogs many breeds of dogs, 196 00:10:14,600 --> 00:10:16,480 Speaker 1: you know, it's like we'd be there, um you know, 197 00:10:16,559 --> 00:10:20,240 Speaker 1: perverted their natural hunting instincts into something ridiculous you know 198 00:10:20,400 --> 00:10:22,360 Speaker 1: where you know it ends up with we end up 199 00:10:22,400 --> 00:10:24,120 Speaker 1: like my parents, with a college that wants to bark 200 00:10:24,160 --> 00:10:27,120 Speaker 1: at trees, you know, and they don't really have us. 201 00:10:27,360 --> 00:10:29,600 Speaker 1: They don't have a skill set anymore. You know, they'd 202 00:10:29,640 --> 00:10:34,640 Speaker 1: be as useless as writers and the apocalypse. You know, wow, 203 00:10:35,000 --> 00:10:38,199 Speaker 1: but I don't know, I don't know writers could they 204 00:10:38,200 --> 00:10:40,200 Speaker 1: could do They could take their pencils. They don't even 205 00:10:40,240 --> 00:10:42,760 Speaker 1: use pencils anyone, am I saying, Yeah, you're right, they 206 00:10:42,800 --> 00:10:44,760 Speaker 1: would language with the dogs, they would begin barking in 207 00:10:44,840 --> 00:10:49,400 Speaker 1: the trees. Yeah, well I don't know. So we we 208 00:10:49,520 --> 00:10:53,640 Speaker 1: have animals that are clocking in a lot of sleep, 209 00:10:53,679 --> 00:10:56,719 Speaker 1: a little sleep. Yeah, yeah, they're they're kind of all 210 00:10:56,760 --> 00:10:59,600 Speaker 1: over the board. Like we mentioned the cat is coming 211 00:10:59,640 --> 00:11:02,040 Speaker 1: in it kind of like fifth half the day roughly. 212 00:11:02,679 --> 00:11:05,520 Speaker 1: And uh, and we should mention that you'll find varying 213 00:11:05,559 --> 00:11:07,400 Speaker 1: figures on all of this out there on the net 214 00:11:07,440 --> 00:11:10,600 Speaker 1: because you know, sometimes it's like a domestic animals sleep 215 00:11:11,360 --> 00:11:14,440 Speaker 1: or or you know, a captive animal sleep patterns versus 216 00:11:14,480 --> 00:11:17,839 Speaker 1: the wild animals sleep patterns. And you know, it's hard 217 00:11:17,840 --> 00:11:19,160 Speaker 1: to get a lot of sleep when someone is trying 218 00:11:19,160 --> 00:11:21,080 Speaker 1: to eat you. Yeah, that's true. And that makes sense 219 00:11:21,080 --> 00:11:23,839 Speaker 1: too because the ones that are captive, it's it's kind 220 00:11:23,840 --> 00:11:26,960 Speaker 1: of hard to measure some animals and and so yeah, 221 00:11:27,000 --> 00:11:28,640 Speaker 1: some of them would have to be captive in order 222 00:11:28,640 --> 00:11:32,800 Speaker 1: to get some data off of them, like um at 223 00:11:32,880 --> 00:11:35,560 Speaker 1: the like at the low end of the spectrum. Um, 224 00:11:35,600 --> 00:11:37,600 Speaker 1: Like it's hard to beat the giraffe, which is like 225 00:11:38,720 --> 00:11:41,319 Speaker 1: almost two hours a day and you know, which is 226 00:11:41,360 --> 00:11:44,960 Speaker 1: about seven point nine percent of the day. And uh, 227 00:11:44,960 --> 00:11:47,200 Speaker 1: and you see other like the horse is really low 228 00:11:47,240 --> 00:11:50,199 Speaker 1: at two point nine hours, the donkey at three point 229 00:11:50,240 --> 00:11:53,200 Speaker 1: one hours um. And which is kind of interesting because 230 00:11:53,200 --> 00:11:55,120 Speaker 1: I guess you, like some of these animals, you're thinking, 231 00:11:55,120 --> 00:11:56,679 Speaker 1: these guys are always on the run, you know, or 232 00:11:56,720 --> 00:11:58,920 Speaker 1: they've got to always be ready to to to you know, 233 00:11:59,160 --> 00:12:01,680 Speaker 1: to just take off at any moment to avoid a predator. 234 00:12:02,280 --> 00:12:05,640 Speaker 1: So they've apparently evolved, you know, into this state where 235 00:12:05,679 --> 00:12:08,400 Speaker 1: they just really don't need much sleep. Yeah, which I 236 00:12:08,400 --> 00:12:11,800 Speaker 1: thought was kind of odd because the giraffe I understood. 237 00:12:11,920 --> 00:12:14,360 Speaker 1: I thought, Okay, if I'm a giraffe and I'm you know, 238 00:12:14,679 --> 00:12:17,120 Speaker 1: out in the wild, I'm going to be scared that 239 00:12:17,160 --> 00:12:20,200 Speaker 1: something's got to you know, put its teeth into my 240 00:12:20,280 --> 00:12:24,760 Speaker 1: neck or or why not. But the cow not necessarily. Well, 241 00:12:24,920 --> 00:12:26,760 Speaker 1: I guess the cows one that we've it's kind of 242 00:12:26,800 --> 00:12:30,320 Speaker 1: like the dogs. We've really perverted the species over time 243 00:12:30,320 --> 00:12:31,960 Speaker 1: to where they're you know, they really don't have anything 244 00:12:32,000 --> 00:12:34,440 Speaker 1: to worry about. But maybe like some you know, original 245 00:12:34,760 --> 00:12:39,160 Speaker 1: version of the cow was more survival you know. Yeah, 246 00:12:39,280 --> 00:12:41,679 Speaker 1: this makes sense, Yeah, absolutely, And then I thought it 247 00:12:41,720 --> 00:12:44,800 Speaker 1: was really cool about the giraffe too. Is that they 248 00:12:44,880 --> 00:12:48,280 Speaker 1: sleep sometimes I get five minutes at a time. Yeah, 249 00:12:48,400 --> 00:12:52,280 Speaker 1: And and then they're really efficient sleepers, so they're not 250 00:12:52,480 --> 00:12:55,880 Speaker 1: kind of peddling around with the stage one and they're 251 00:12:55,880 --> 00:12:58,120 Speaker 1: not having dreams about tripping or you know, falling. They 252 00:12:58,160 --> 00:13:01,240 Speaker 1: get like straight into deep sleep, which I really admire. 253 00:13:01,280 --> 00:13:04,080 Speaker 1: I want to try to cultivate that for myself. Yeah. 254 00:13:04,240 --> 00:13:07,160 Speaker 1: They've Yeah, they've really just completely streamlined the process to 255 00:13:07,200 --> 00:13:10,640 Speaker 1: get right to the goods, the bare minimum to remain functional, insane, 256 00:13:10,640 --> 00:13:12,480 Speaker 1: I guess. Yeah. Yeah, they're like the Martha Stewart I 257 00:13:12,480 --> 00:13:15,320 Speaker 1: think of the animal Kingdom. They're just they're being very 258 00:13:15,400 --> 00:13:18,560 Speaker 1: efficient about how they spend their time sleeping. Well, you 259 00:13:18,559 --> 00:13:20,959 Speaker 1: know the the elephant that was pretty high up there, 260 00:13:20,960 --> 00:13:24,960 Speaker 1: and that's you know what's trying to eat an elephant? Yeah. Yeah, 261 00:13:25,040 --> 00:13:28,360 Speaker 1: and there is also the brown bat. Oh, the brown 262 00:13:28,400 --> 00:13:31,800 Speaker 1: bats on the the other end of the spectrum. Eighty 263 00:13:31,840 --> 00:13:35,200 Speaker 1: two point nine percent of the day, nineteen point nine 264 00:13:35,200 --> 00:13:40,040 Speaker 1: hours of sleep. Yeah, those suckers are I mean, they 265 00:13:40,040 --> 00:13:43,480 Speaker 1: are layabouts. Yeah, I mean you can think. The thing 266 00:13:43,520 --> 00:13:45,920 Speaker 1: I was reading about the brown bat is that a 267 00:13:46,480 --> 00:13:50,440 Speaker 1: their flyers and to fly with wings in this world 268 00:13:50,920 --> 00:13:53,719 Speaker 1: is it just requires a huge amount of energy. Like 269 00:13:54,080 --> 00:13:56,760 Speaker 1: that's why one of the reasons you don't have airplanes 270 00:13:56,760 --> 00:13:59,640 Speaker 1: with flapping wings because you know, it might look cool 271 00:13:59,679 --> 00:14:01,560 Speaker 1: in the uh, you know, in the sci fi movies 272 00:14:01,679 --> 00:14:04,160 Speaker 1: or the you know, the cartoons, but it would require 273 00:14:04,200 --> 00:14:06,480 Speaker 1: a tremendous amount of energy that just doesn't make sense 274 00:14:06,480 --> 00:14:09,040 Speaker 1: when you have propellers. Bats don't have propellers, so they 275 00:14:09,040 --> 00:14:11,480 Speaker 1: got a flap and by flapping, uh, you know, to 276 00:14:11,760 --> 00:14:14,080 Speaker 1: get things, you know, rolling in the air, they're expending 277 00:14:14,120 --> 00:14:16,360 Speaker 1: a lot of energy and they're eating like mosquitoes and stuff. 278 00:14:16,400 --> 00:14:19,440 Speaker 1: So sometimes the best course of action is to just 279 00:14:19,640 --> 00:14:23,440 Speaker 1: turn it off for nineteen hours. Yeah, and that would 280 00:14:23,440 --> 00:14:25,160 Speaker 1: make sense to you that they might hide themselves away 281 00:14:25,200 --> 00:14:28,000 Speaker 1: from predators or yeah, you know, or if the mascues 282 00:14:28,000 --> 00:14:30,320 Speaker 1: were only going to be out for a couple of hours, 283 00:14:30,600 --> 00:14:32,480 Speaker 1: you know. Yeah, that's right. Most of your bats are 284 00:14:32,480 --> 00:14:34,920 Speaker 1: seeking shelter in you know, high trees or in caves, 285 00:14:35,560 --> 00:14:37,360 Speaker 1: and they'll be in a situation where they really don't 286 00:14:37,400 --> 00:14:40,080 Speaker 1: have to worry about predators so much, either due to 287 00:14:40,120 --> 00:14:45,880 Speaker 1: their location or their numbers. Yeah. Another creature animal on 288 00:14:45,920 --> 00:14:49,720 Speaker 1: this list, um is the tree sloth, which is one 289 00:14:49,720 --> 00:14:53,160 Speaker 1: of my favorite animals. I think. Um, I don't even 290 00:14:53,160 --> 00:14:55,160 Speaker 1: know how to describe what it looks like other than 291 00:14:55,200 --> 00:14:58,160 Speaker 1: just like a hairy looking alien, ye, kind of a 292 00:14:58,280 --> 00:15:02,040 Speaker 1: mossy hairy alien, like a mumpy even too. I mean 293 00:15:02,080 --> 00:15:04,840 Speaker 1: it's like the Muppet that just didn't make the cut. Yeah, 294 00:15:05,120 --> 00:15:08,360 Speaker 1: you know, yeah, they kind of like somber face kind 295 00:15:08,400 --> 00:15:12,040 Speaker 1: of cute, like not the baby slots are really cute, obviously, 296 00:15:12,120 --> 00:15:14,360 Speaker 1: but we had the adults. They're yeah, they they're kind 297 00:15:14,360 --> 00:15:17,320 Speaker 1: of like Muppets. Yeah yeah, and it's maybe like it's 298 00:15:17,360 --> 00:15:19,000 Speaker 1: cute but menacing at the same time, which is I 299 00:15:19,040 --> 00:15:21,360 Speaker 1: think why it wouldn't have made the Muppet cut, you know. 300 00:15:22,560 --> 00:15:26,400 Speaker 1: But anyway, their their name Slaus obviously because um they're 301 00:15:26,440 --> 00:15:28,760 Speaker 1: thought of is well not just thought it. But they 302 00:15:28,800 --> 00:15:31,600 Speaker 1: are very slow moving creatures but um in captivity to 303 00:15:31,600 --> 00:15:34,280 Speaker 1: actually sleep for fourteen hours, but in the while they 304 00:15:34,320 --> 00:15:37,000 Speaker 1: sleep for ten hours, so that really mirrors more of 305 00:15:37,040 --> 00:15:41,120 Speaker 1: our own activity. Um. So I think just just I 306 00:15:41,120 --> 00:15:42,720 Speaker 1: can clear up their name a little bit because they're 307 00:15:42,720 --> 00:15:45,480 Speaker 1: already saddled with the Moniker slough. I just want to 308 00:15:45,520 --> 00:15:49,120 Speaker 1: get that out there for the sloth world. Yeah, a 309 00:15:49,160 --> 00:15:52,320 Speaker 1: little shout out. Now, Human infants are pretty high to 310 00:15:52,840 --> 00:15:56,600 Speaker 1: sixty sixty six point seven percent of the day sixteen hours. Yeah, 311 00:15:56,640 --> 00:16:00,840 Speaker 1: they're crazy high, which makes sense, um, because think of 312 00:16:01,000 --> 00:16:03,000 Speaker 1: I mean again, we got we've talked about the data 313 00:16:03,080 --> 00:16:06,800 Speaker 1: that you're processing during sleep, and just think of all 314 00:16:06,880 --> 00:16:09,720 Speaker 1: the stimuli. You know, you've been shut in the womb 315 00:16:09,760 --> 00:16:13,160 Speaker 1: for almost ten months. Yeah, like everything is new, lights different, 316 00:16:13,280 --> 00:16:16,640 Speaker 1: I mean yeah, some sound is familiar, but some sound isn't. 317 00:16:16,840 --> 00:16:20,080 Speaker 1: So it's uh, it's building that database that they have 318 00:16:20,120 --> 00:16:24,280 Speaker 1: to do. So I don't know. Um, are there any 319 00:16:24,280 --> 00:16:28,280 Speaker 1: creatures that require zero sleep for different types of sleep? 320 00:16:28,280 --> 00:16:32,200 Speaker 1: How does that work? Well, that's that's the question. Um, 321 00:16:32,240 --> 00:16:36,160 Speaker 1: I mean there are There are certainly animals that, for starters, 322 00:16:36,240 --> 00:16:39,680 Speaker 1: can disrupt their normal sleeping patterns for certain special events. 323 00:16:40,080 --> 00:16:43,840 Speaker 1: You know, like migratory birds. You know, they they've got 324 00:16:43,920 --> 00:16:46,840 Speaker 1: a suddenly put into overdrive travel long distances that they 325 00:16:46,840 --> 00:16:50,800 Speaker 1: can they can alter how much sleep they need. Um. Now, 326 00:16:50,880 --> 00:16:53,480 Speaker 1: fish and amphibians are these are some of the creatures 327 00:16:53,520 --> 00:16:56,960 Speaker 1: that were still not completely sure on whether they're sleeping 328 00:16:57,040 --> 00:17:03,080 Speaker 1: or not, or if they're just you know, exhibiting resting signs. Um. 329 00:17:03,240 --> 00:17:06,000 Speaker 1: And again the typical like signs of sleep. You know, 330 00:17:06,040 --> 00:17:08,800 Speaker 1: it's like you generally you're looking for reduction and physical activity, 331 00:17:09,160 --> 00:17:13,679 Speaker 1: discrete decreased response to outside sim stimuli um. And you 332 00:17:13,680 --> 00:17:16,479 Speaker 1: know generally that's you know, sleeping creature will will assume 333 00:17:16,760 --> 00:17:19,800 Speaker 1: a certain position, you know, or you know, back to 334 00:17:19,840 --> 00:17:23,520 Speaker 1: the cats, the same thing. Um. So we don't necessarily 335 00:17:23,560 --> 00:17:26,840 Speaker 1: observe these things going on with fish and amphibians. So 336 00:17:27,359 --> 00:17:29,960 Speaker 1: you know, the jury still is still out. So a 337 00:17:30,040 --> 00:17:33,359 Speaker 1: jellyfish could be like the way deep Bottom and they 338 00:17:33,440 --> 00:17:36,520 Speaker 1: might have successfully attached to tracking device, food or something, 339 00:17:36,760 --> 00:17:39,040 Speaker 1: and there's a period of inactivity, you sort of have 340 00:17:39,119 --> 00:17:40,920 Speaker 1: to assume that maybe they're in a resting state. Is 341 00:17:40,960 --> 00:17:42,560 Speaker 1: that Yeah, that that's kind of how it goes. But 342 00:17:42,600 --> 00:17:44,960 Speaker 1: again it's it's you know, it's like like you're saying earlier, 343 00:17:45,320 --> 00:17:47,399 Speaker 1: we base a lot of it on the on the 344 00:17:47,440 --> 00:17:50,040 Speaker 1: human mind, and we sort of, you know, we we 345 00:17:50,160 --> 00:17:52,720 Speaker 1: use that as the model to try and understand everything. 346 00:17:52,800 --> 00:17:55,040 Speaker 1: And you know, in some cases, like the jellyfish, I mean, 347 00:17:55,320 --> 00:17:59,119 Speaker 1: it's we're so distantly related that maybe it doesn't hold up, 348 00:17:59,160 --> 00:18:04,879 Speaker 1: you know, but right we're anthropomorphosizing everything. Now. One of 349 00:18:04,880 --> 00:18:10,119 Speaker 1: the really cool um areas of sleep is uni hemispheric sleep, 350 00:18:11,119 --> 00:18:15,120 Speaker 1: and you know, as in the hemispheres of the brain. Yeah, 351 00:18:15,160 --> 00:18:16,639 Speaker 1: and this is pretty good. It's kind of like, alright, 352 00:18:16,680 --> 00:18:20,160 Speaker 1: imagine you have a you have a company with ninety employees, 353 00:18:20,600 --> 00:18:24,400 Speaker 1: all right, and you're open nine to six, and then 354 00:18:24,240 --> 00:18:26,520 Speaker 1: then you decide, all right, we need to actually be 355 00:18:26,600 --> 00:18:30,080 Speaker 1: open all the time, you know. So so if you 356 00:18:30,160 --> 00:18:32,760 Speaker 1: came up so then you're like, all right, well, we 357 00:18:32,800 --> 00:18:35,840 Speaker 1: can't have all ninety employees work all the time because 358 00:18:35,880 --> 00:18:38,479 Speaker 1: they'll quit and leave or you know, riot or whatever. 359 00:18:38,760 --> 00:18:41,960 Speaker 1: So let's have like thirty work here, thirty work here. 360 00:18:42,000 --> 00:18:43,800 Speaker 1: You know, you end up like mixing it up. And 361 00:18:43,800 --> 00:18:47,359 Speaker 1: that's that's the pretty much what animals such as dolphins 362 00:18:47,840 --> 00:18:50,800 Speaker 1: and uh and you know another you know, aquatic mamalstude 363 00:18:50,800 --> 00:18:54,000 Speaker 1: because they're they're conscious breathers. So that's the other thing. 364 00:18:54,000 --> 00:18:56,160 Speaker 1: It's like, if they were to go to sleep, they 365 00:18:56,240 --> 00:18:59,400 Speaker 1: wouldn't breathe and then they would die. So they've got 366 00:18:59,440 --> 00:19:04,160 Speaker 1: to be awake in some fashion all the time. So 367 00:19:04,320 --> 00:19:07,680 Speaker 1: they just turn one hemisphere of the brain off. Is 368 00:19:07,720 --> 00:19:11,880 Speaker 1: it because there is it a function of their biology 369 00:19:12,000 --> 00:19:15,000 Speaker 1: or is it because they're worried about predators or both? Well, 370 00:19:15,000 --> 00:19:17,359 Speaker 1: there's that too. Yeah, I mean you're the the ocean 371 00:19:17,520 --> 00:19:20,560 Speaker 1: is an intensely dangerous place. You know, even if you're 372 00:19:20,560 --> 00:19:22,520 Speaker 1: you know, a dolphin hanging out with other dolphins and 373 00:19:22,600 --> 00:19:25,720 Speaker 1: you know they're you know, they're pretty rough and tumble characters, 374 00:19:25,760 --> 00:19:29,040 Speaker 1: but but still you know, there's constantly something trying to 375 00:19:29,040 --> 00:19:31,560 Speaker 1: eat you for the most part. So so yeah, that 376 00:19:31,640 --> 00:19:33,040 Speaker 1: what they do. It's kind of kind of like if 377 00:19:33,040 --> 00:19:35,960 Speaker 1: you've ever seen, uh, I understand, horses and some animals 378 00:19:35,960 --> 00:19:38,960 Speaker 1: still like or even like you know, joggers, I don't know, 379 00:19:39,040 --> 00:19:41,280 Speaker 1: will stand on one leg and rest the other and 380 00:19:41,280 --> 00:19:43,320 Speaker 1: then switch to the other leg and then rest that one. 381 00:19:43,480 --> 00:19:46,400 Speaker 1: It's the same thing except with the brain. So turn 382 00:19:46,480 --> 00:19:49,080 Speaker 1: one side off, let it rest. They'll let the other 383 00:19:49,119 --> 00:19:50,960 Speaker 1: side turn one side off and let it rest while 384 00:19:50,960 --> 00:19:54,359 Speaker 1: the other one powers everything and then do the do 385 00:19:54,400 --> 00:19:58,159 Speaker 1: the opposite. So you're never turning off both sides of 386 00:19:58,160 --> 00:20:01,560 Speaker 1: the brain and letting both sides eat it once, but 387 00:20:01,560 --> 00:20:04,000 Speaker 1: but one side of sleeping while the other remains awake. 388 00:20:04,080 --> 00:20:07,880 Speaker 1: So that allows you to react really quickly, just being 389 00:20:07,960 --> 00:20:11,800 Speaker 1: more efficient. Yeah, it's never a situation where um where 390 00:20:11,800 --> 00:20:14,879 Speaker 1: oh I've got awake, because uh, this is this actually 391 00:20:14,880 --> 00:20:17,880 Speaker 1: goes back to um to say, say you know, when 392 00:20:17,880 --> 00:20:20,080 Speaker 1: when you're asleep and suddenly you're you have a dream 393 00:20:20,080 --> 00:20:23,639 Speaker 1: where you're falling when you you know, fly awake. UM. 394 00:20:23,680 --> 00:20:28,119 Speaker 1: There are some interesting studies, UM, mostly from psychologist Frederick 395 00:20:28,400 --> 00:20:31,800 Speaker 1: Coolidge h And he's talked about this on Radio Lab 396 00:20:31,880 --> 00:20:35,480 Speaker 1: before I believe UM. Like, he argues that the the 397 00:20:35,520 --> 00:20:39,400 Speaker 1: idea of having a falling dream, UM, that comes from 398 00:20:39,440 --> 00:20:43,040 Speaker 1: like like early hominid history where we were living in 399 00:20:43,080 --> 00:20:45,199 Speaker 1: trees and when we were sleeping in the you know, 400 00:20:45,760 --> 00:20:48,640 Speaker 1: so you know, you're sleeping in a tree. That's kind 401 00:20:48,640 --> 00:20:50,479 Speaker 1: of you know, you're sleeping in a tree. So if 402 00:20:50,520 --> 00:20:52,359 Speaker 1: you fall out of that tree, there's you know, probably 403 00:20:52,400 --> 00:20:55,160 Speaker 1: all sorts of things just waiting, you know, for for 404 00:20:55,200 --> 00:20:58,159 Speaker 1: a little you know, eight creatures to plummet from the branches. 405 00:20:58,240 --> 00:21:00,679 Speaker 1: They can gobble them up. So if you feel like 406 00:21:00,720 --> 00:21:03,520 Speaker 1: you're falling instant away, because you've got to protect yourself, 407 00:21:03,560 --> 00:21:06,000 Speaker 1: you've got to grab back onto the tree and stay put. 408 00:21:06,680 --> 00:21:09,639 Speaker 1: So so they think that's like an evolutionary remnant of 409 00:21:09,720 --> 00:21:13,800 Speaker 1: those times. That's so cool for some reason, just reminding 410 00:21:13,800 --> 00:21:16,120 Speaker 1: you of my college dreammate who was constantly falling her 411 00:21:16,400 --> 00:21:19,280 Speaker 1: bunk bed, but like she fell completely off of it. Yeah, 412 00:21:19,359 --> 00:21:23,000 Speaker 1: I think again external forces acting on her. I think 413 00:21:23,359 --> 00:21:25,040 Speaker 1: she would have totally been eaten by wolves in the 414 00:21:25,080 --> 00:21:28,480 Speaker 1: old days. I know, I know her and Ozzy Osbourne, yeah, 415 00:21:28,800 --> 00:21:31,840 Speaker 1: both of them. Um. And like, I don't think I 416 00:21:31,840 --> 00:21:34,680 Speaker 1: ever get the the falling dreams per se, but I'm 417 00:21:34,720 --> 00:21:37,080 Speaker 1: I'm always getting these dreams where I'm like drifting off 418 00:21:37,080 --> 00:21:39,439 Speaker 1: to sleep a little bit, and then I'll dream that 419 00:21:39,480 --> 00:21:43,000 Speaker 1: I'm slipping on something like on a linoleum floor and 420 00:21:43,000 --> 00:21:44,879 Speaker 1: I'll be big and I'll just be like whoa, you know, 421 00:21:45,200 --> 00:21:48,800 Speaker 1: So that's funny. My mind is a sidewalk, which you know, 422 00:21:48,920 --> 00:21:51,119 Speaker 1: I don't know. I'm gonna see if I can lucid 423 00:21:51,200 --> 00:21:53,720 Speaker 1: dream next time and put a banana peel there or 424 00:21:53,760 --> 00:21:56,640 Speaker 1: something just to make a little bit more interesting. I'm 425 00:21:56,640 --> 00:21:59,720 Speaker 1: going to try that out. Um. But then anyway, back 426 00:21:59,760 --> 00:22:04,960 Speaker 1: to uh, back to the unihemistereric sleep. Um, it's a 427 00:22:05,200 --> 00:22:06,760 Speaker 1: it's it's hard for us, you know again, this is 428 00:22:06,840 --> 00:22:08,879 Speaker 1: us taking our you know, using our mind as the model. 429 00:22:08,880 --> 00:22:10,840 Speaker 1: It's it's difficult for us to imagine what this would 430 00:22:10,880 --> 00:22:14,240 Speaker 1: be like. But scientists think it might be some sort 431 00:22:14,280 --> 00:22:17,480 Speaker 1: of like a semi conscious state. Uh, what kind of 432 00:22:17,520 --> 00:22:20,280 Speaker 1: like we experienced when we're beginning to fall asleep. So 433 00:22:20,359 --> 00:22:22,360 Speaker 1: it would not be it would not be the same 434 00:22:22,400 --> 00:22:25,480 Speaker 1: as being awake. It would you would be operating everything 435 00:22:25,520 --> 00:22:29,400 Speaker 1: at half mast, you know, or half power, but but 436 00:22:29,440 --> 00:22:31,880 Speaker 1: you know, still awake enough to immediately respond to something. 437 00:22:31,920 --> 00:22:34,200 Speaker 1: There's no like, oh I think I'm falling, I'm gonna 438 00:22:34,240 --> 00:22:36,199 Speaker 1: wake up. It would be like there's a predator, I'm 439 00:22:36,200 --> 00:22:39,320 Speaker 1: gonna cut you know. So from my cat owen, I 440 00:22:39,320 --> 00:22:41,119 Speaker 1: have to say that I think I've actually observed this 441 00:22:41,200 --> 00:22:44,080 Speaker 1: in him before, where he's looking at me. This is 442 00:22:44,280 --> 00:22:46,360 Speaker 1: this is I think why cats get such a bad 443 00:22:46,440 --> 00:22:49,680 Speaker 1: rap sometimes and are called creepy. But he'll sometimes look 444 00:22:49,720 --> 00:22:52,000 Speaker 1: at me with one eye open and it'll be slightly 445 00:22:52,080 --> 00:22:54,680 Speaker 1: rolled back. So I knew that he's in some sort 446 00:22:54,720 --> 00:22:58,320 Speaker 1: of sleep state. So I have to wonder if it 447 00:22:58,359 --> 00:23:04,560 Speaker 1: also extends to other animals. Well, Um, this is an 448 00:23:04,600 --> 00:23:08,119 Speaker 1: interesting just in trying to figure out what euning hemispheric 449 00:23:08,160 --> 00:23:11,600 Speaker 1: sleep might be like. Um, there's a book called Consider 450 00:23:11,640 --> 00:23:13,800 Speaker 1: Fleebus by n And Banks. I don't know if you've 451 00:23:13,880 --> 00:23:16,719 Speaker 1: read anything by him. He's he's written a lot of 452 00:23:16,760 --> 00:23:19,720 Speaker 1: like just straight up fiction, like The Wasps Factory, and 453 00:23:19,960 --> 00:23:22,000 Speaker 1: he's a Scottish guy. He's also written a number of 454 00:23:22,000 --> 00:23:25,040 Speaker 1: sci fi novels and consider fleeb This was the first 455 00:23:25,280 --> 00:23:27,320 Speaker 1: book in the culture series, which is it's like a 456 00:23:27,359 --> 00:23:29,840 Speaker 1: space opera kind of thing, but he throws in a 457 00:23:29,880 --> 00:23:32,879 Speaker 1: lot of like really cool science and you know, in 458 00:23:32,920 --> 00:23:35,679 Speaker 1: philosophy and stuff like it. It's it's nice, you know, 459 00:23:36,000 --> 00:23:39,639 Speaker 1: brain fodder as far as sci fi goes. But in 460 00:23:39,680 --> 00:23:43,000 Speaker 1: this book, there's a character named Craiglin who has quote 461 00:23:43,119 --> 00:23:47,480 Speaker 1: enhanced hemispheric task division in his brain and uh and 462 00:23:47,520 --> 00:23:49,199 Speaker 1: the way it works out is that one that so 463 00:23:49,240 --> 00:23:51,640 Speaker 1: he's doing exactly what the dolphins do, but because he's 464 00:23:51,680 --> 00:23:53,560 Speaker 1: a dangerous mercenary and has to be you know, be 465 00:23:53,840 --> 00:23:57,360 Speaker 1: you know, on you know, alerted all times. So one 466 00:23:57,400 --> 00:23:59,640 Speaker 1: third of the time, though one of you know, one 467 00:23:59,680 --> 00:24:02,760 Speaker 1: half leaps and so he's a little bit dreamy and vague, 468 00:24:03,480 --> 00:24:05,719 Speaker 1: and then another third of the time he's all logic 469 00:24:05,760 --> 00:24:07,800 Speaker 1: and numbers and he can't communicate all that well with 470 00:24:07,840 --> 00:24:10,440 Speaker 1: other people. And then for the other third at the time, 471 00:24:10,440 --> 00:24:14,000 Speaker 1: he's completely awake. So so I found that really interesting, 472 00:24:14,040 --> 00:24:18,680 Speaker 1: like because obviously Banks was trying to imagine how unihemispheric 473 00:24:18,720 --> 00:24:21,399 Speaker 1: sleep would translate to the human experience the left and 474 00:24:21,480 --> 00:24:24,720 Speaker 1: right brain right, so right, So one part of us 475 00:24:24,760 --> 00:24:28,080 Speaker 1: would be really analytical and the other part would be yeah, 476 00:24:28,320 --> 00:24:31,800 Speaker 1: composing arias perhaps I don't know, Yeah, it would be. 477 00:24:31,840 --> 00:24:33,560 Speaker 1: It would be a weird life because you'd have to 478 00:24:33,720 --> 00:24:35,280 Speaker 1: it seems like you probably have to want to line 479 00:24:35,320 --> 00:24:38,960 Speaker 1: up and coordinate with your coworkers, with your spouse or 480 00:24:39,040 --> 00:24:41,800 Speaker 1: significant other, with you know, how you have You have 481 00:24:41,800 --> 00:24:45,119 Speaker 1: to really organize your life along which sleep pattern you were, 482 00:24:45,160 --> 00:24:47,280 Speaker 1: you know, which part of your brain was functioning. Well, 483 00:24:47,320 --> 00:24:49,560 Speaker 1: I think you'd have to actually color code yourself. I 484 00:24:49,560 --> 00:24:52,000 Speaker 1: think everybody would, because it's not one be just you, right, 485 00:24:52,000 --> 00:24:54,439 Speaker 1: it would be yeah, I'd be everybody one. So that 486 00:24:54,440 --> 00:24:57,600 Speaker 1: would be interesting. A world where everyone has unihemispheric sleep, 487 00:24:58,000 --> 00:25:00,040 Speaker 1: you'd have to be like like, oh, I can and 488 00:25:00,080 --> 00:25:03,040 Speaker 1: asked Julie about this right now, because obviously she's all 489 00:25:03,160 --> 00:25:06,440 Speaker 1: numbers and no speech, right, she's all green shirt today, Yeah, 490 00:25:06,560 --> 00:25:09,400 Speaker 1: forget it or green flag or whatever. Yeah. See, I'm 491 00:25:09,400 --> 00:25:13,240 Speaker 1: already trying to organize this. I'm really in training. But well, 492 00:25:13,359 --> 00:25:17,880 Speaker 1: we've got uni hemospheric sleep. Um. We also have something 493 00:25:17,920 --> 00:25:21,720 Speaker 1: called torpor, right, which is sort of a reduced version 494 00:25:21,800 --> 00:25:24,280 Speaker 1: of hibernation, and I think we should probably just mention 495 00:25:24,359 --> 00:25:26,679 Speaker 1: that because yeah, because people might be thinking, hey, how 496 00:25:26,680 --> 00:25:30,399 Speaker 1: about bears aren't sleeping for months? Not really right, right, 497 00:25:30,440 --> 00:25:33,080 Speaker 1: because they're they're taking their their bodies down to the 498 00:25:33,080 --> 00:25:36,080 Speaker 1: studs so to speak. I mean they're just shutting everything down. Um, 499 00:25:36,119 --> 00:25:39,679 Speaker 1: so there's not much brain activity there. But torpor is 500 00:25:39,680 --> 00:25:43,440 Speaker 1: sort of not as extreme version of hibernation, and that's 501 00:25:43,440 --> 00:25:47,040 Speaker 1: found in hummingbirds. Um. Yeah, yeah, we were talking about 502 00:25:47,080 --> 00:25:50,320 Speaker 1: this earlier and I believe it's uh yeah, they mentioned this. 503 00:25:50,359 --> 00:25:53,200 Speaker 1: I think in Aton Borrows the life of birds at 504 00:25:53,240 --> 00:25:56,240 Speaker 1: one point where humming we're talking about how much energy 505 00:25:56,280 --> 00:25:59,320 Speaker 1: it takes to fly, and hummingbirds are the extreme of this. 506 00:25:59,480 --> 00:26:02,760 Speaker 1: They just consume a colossal amount of energy. Yeah, their 507 00:26:02,760 --> 00:26:06,760 Speaker 1: heart it doesn't beats per minute or secondary. They're just 508 00:26:06,880 --> 00:26:11,359 Speaker 1: they're completely inefficient. And so when they go to sleep, 509 00:26:11,400 --> 00:26:14,760 Speaker 1: they actually seriously like knock themselves out pretty much. Um. 510 00:26:14,800 --> 00:26:18,600 Speaker 1: They hang upside down like a bat, and they they 511 00:26:18,600 --> 00:26:21,320 Speaker 1: sleep overnight. And this is actually called corporate because it's 512 00:26:21,320 --> 00:26:24,000 Speaker 1: not necessarily what we think of as sleep sleep. It's 513 00:26:24,040 --> 00:26:26,760 Speaker 1: just it's a letter version again of hibernation. And they 514 00:26:26,880 --> 00:26:28,880 Speaker 1: really but they need that time periods. Like you said, 515 00:26:28,920 --> 00:26:31,800 Speaker 1: they're not very efficient conserving their energy. So you could 516 00:26:31,840 --> 00:26:33,480 Speaker 1: go up to a hummingbird and just kind of tap 517 00:26:33,520 --> 00:26:35,480 Speaker 1: it and you might think it's dead and actually won't 518 00:26:35,520 --> 00:26:38,760 Speaker 1: even rant um. But that's how it's getting at seas. 519 00:26:38,840 --> 00:26:41,600 Speaker 1: And it's just kind of another interesting way to think 520 00:26:41,640 --> 00:26:43,600 Speaker 1: about sleep because I know at some point this is 521 00:26:43,640 --> 00:26:48,000 Speaker 1: sort of semantics. You know, we think about sleep, sleep, hibernation, torpor, 522 00:26:48,040 --> 00:26:51,000 Speaker 1: but it's all about just shutting it down. And there's 523 00:26:51,000 --> 00:26:53,520 Speaker 1: a reason why we do that, because you know, we've 524 00:26:54,200 --> 00:26:57,920 Speaker 1: we've got to get the benefits of sleep. Um, Yeah, 525 00:26:58,000 --> 00:27:01,080 Speaker 1: what's the payoff? What is what's Owen or in my case, 526 00:27:01,119 --> 00:27:04,120 Speaker 1: Biscuit doing all this time when they're well, I think 527 00:27:04,240 --> 00:27:09,040 Speaker 1: with with Biscuit and Owen, they're they're definitely um again 528 00:27:09,080 --> 00:27:11,640 Speaker 1: because they're not out in the wild there, maybe not 529 00:27:11,800 --> 00:27:16,639 Speaker 1: recharging as much as a human would um, but they're 530 00:27:16,640 --> 00:27:19,360 Speaker 1: definitely working through the data and they're processing and who 531 00:27:19,359 --> 00:27:21,840 Speaker 1: knows what. We don't know what they're dreaming about, but 532 00:27:21,960 --> 00:27:25,399 Speaker 1: like you said, they're they're really their skills are still intact. 533 00:27:25,440 --> 00:27:27,800 Speaker 1: You've gotta wonder if maybe they're still putting themselves through 534 00:27:27,800 --> 00:27:30,199 Speaker 1: the paces she said, I think it was like like 535 00:27:30,280 --> 00:27:36,320 Speaker 1: carrot cat terrorist attack training count. Yeah. Um, so they 536 00:27:36,359 --> 00:27:39,919 Speaker 1: may just be putting themselves through their exercises and jumping 537 00:27:39,920 --> 00:27:43,400 Speaker 1: through hoops and what not they do in dreams. But um. So, 538 00:27:43,680 --> 00:27:46,040 Speaker 1: one of the things that we know about sleep is 539 00:27:46,080 --> 00:27:48,320 Speaker 1: that it helps us to repair all the muscles and 540 00:27:48,359 --> 00:27:51,720 Speaker 1: the tissues. Um. And it also helps us to review 541 00:27:51,720 --> 00:27:54,159 Speaker 1: the data that we've taken in, and it makes us 542 00:27:54,200 --> 00:27:56,840 Speaker 1: more adaptive to the environment around us, because every day 543 00:27:56,920 --> 00:27:59,280 Speaker 1: you there's something new that you're taking in. I mean, 544 00:27:59,320 --> 00:28:01,280 Speaker 1: it could be you're driving to work and you see 545 00:28:01,440 --> 00:28:04,520 Speaker 1: some light, you know, dabbling a leaf, um, but you're 546 00:28:04,560 --> 00:28:07,360 Speaker 1: not necessarily really gonna dwell on that, so your brain 547 00:28:07,440 --> 00:28:10,119 Speaker 1: just kind of goes to MEUNI files it away, and 548 00:28:10,200 --> 00:28:12,640 Speaker 1: that might be something that it recalls later just as 549 00:28:12,840 --> 00:28:15,320 Speaker 1: part of a vast amount of data it has to 550 00:28:15,359 --> 00:28:17,560 Speaker 1: sort through. So I was thinking about this and I thought, 551 00:28:17,560 --> 00:28:21,199 Speaker 1: what is the most extreme version of the benefits like 552 00:28:21,200 --> 00:28:23,520 Speaker 1: who that we know that we can study, and that 553 00:28:23,560 --> 00:28:26,919 Speaker 1: would certainly be human infants because as we have mentioned, 554 00:28:27,000 --> 00:28:29,040 Speaker 1: they sleep up to sixteen hours a day and about 555 00:28:29,080 --> 00:28:33,560 Speaker 1: fifty percent of that time they're dreaming. So I mean 556 00:28:33,680 --> 00:28:37,600 Speaker 1: that's that's an organism that is working really really hard 557 00:28:37,720 --> 00:28:42,880 Speaker 1: at developing neural pathways and um, doing all sorts of 558 00:28:42,920 --> 00:28:46,640 Speaker 1: crazy things to try to get its body bigger faster. 559 00:28:46,920 --> 00:28:49,600 Speaker 1: It's mine bigger and faster. I mean the human mind 560 00:28:49,640 --> 00:28:54,880 Speaker 1: actually develops them in the first two years it's mass 561 00:28:54,920 --> 00:28:57,480 Speaker 1: so um, they're doing a lot of work there. So 562 00:28:57,520 --> 00:28:59,360 Speaker 1: I thought that was that's kind of a cool thing 563 00:28:59,360 --> 00:29:02,440 Speaker 1: to look at because if you compare it humans, human 564 00:29:02,440 --> 00:29:07,400 Speaker 1: adults are actually spending about of their time dreaming. So 565 00:29:07,880 --> 00:29:11,240 Speaker 1: think about the human infant. It's building up its own new, 566 00:29:11,280 --> 00:29:14,880 Speaker 1: fresh database. And you you take that sort of model 567 00:29:15,680 --> 00:29:19,000 Speaker 1: and you start to apply it to other forms. So 568 00:29:19,160 --> 00:29:21,800 Speaker 1: if you look at um, like there's a study that M. I. T. 569 00:29:22,000 --> 00:29:29,440 Speaker 1: Did with rats basically saying they were performing these repetitive 570 00:29:29,520 --> 00:29:32,640 Speaker 1: tasks and then they were sleeping and they were performing 571 00:29:32,680 --> 00:29:37,160 Speaker 1: them again and they were doing exceedingly well. And so 572 00:29:37,280 --> 00:29:40,160 Speaker 1: we know this in humans too, that you learned something, 573 00:29:40,440 --> 00:29:44,480 Speaker 1: you sleep and all of a sudden you're like, I 574 00:29:44,520 --> 00:29:49,920 Speaker 1: don't know, you're like canarieves and um, you're in the matrix. Uh, 575 00:29:49,960 --> 00:29:52,400 Speaker 1: and you know you're not that good, but but still 576 00:29:52,440 --> 00:29:54,000 Speaker 1: it's kind of late when people say like, oh, I 577 00:29:54,040 --> 00:29:56,920 Speaker 1: need to sleep on this. Yeah, exactly, exactly. And I 578 00:29:56,960 --> 00:30:00,280 Speaker 1: think was it um Roosevelt who just wouldn't make any 579 00:30:00,280 --> 00:30:02,520 Speaker 1: major decision without taking a nap, which I thought was, 580 00:30:02,600 --> 00:30:04,400 Speaker 1: you know, pretty great. Yeah. I think that he always 581 00:30:04,400 --> 00:30:06,720 Speaker 1: carried like a cot with him and it would be 582 00:30:06,720 --> 00:30:09,560 Speaker 1: in the middle of like you know, international conference and 583 00:30:09,600 --> 00:30:10,960 Speaker 1: they have someone asked him a question and be like, 584 00:30:11,000 --> 00:30:12,680 Speaker 1: I don't know if they plot the cot eight hours 585 00:30:12,800 --> 00:30:14,320 Speaker 1: later to have an answer. See, I kind of want 586 00:30:14,360 --> 00:30:16,200 Speaker 1: to do this at work. I don't know how well 587 00:30:16,240 --> 00:30:18,080 Speaker 1: it would go down, but you know, I think I 588 00:30:18,080 --> 00:30:21,480 Speaker 1: think it's worth a shot. Yeah. Um, you can try 589 00:30:21,520 --> 00:30:23,720 Speaker 1: to introduce that. And then you think about Paul McCartney 590 00:30:24,080 --> 00:30:27,920 Speaker 1: who who claims that Yesterday was written in a dream 591 00:30:28,000 --> 00:30:31,280 Speaker 1: and he woke up and just ran the piano and 592 00:30:31,280 --> 00:30:34,160 Speaker 1: got it down as quickly as he could. So if 593 00:30:34,200 --> 00:30:36,680 Speaker 1: you think about the benefits of sleep, and particularly for humans, 594 00:30:36,840 --> 00:30:40,760 Speaker 1: it's it's a it's a great place to repair your 595 00:30:40,760 --> 00:30:43,240 Speaker 1: body and also work through all the anxieties, fears and 596 00:30:43,280 --> 00:30:46,000 Speaker 1: hopes that you have in this sort of safe place. 597 00:30:46,080 --> 00:30:48,920 Speaker 1: So it's sort of like a blackboard of the mind. Um. 598 00:30:49,000 --> 00:30:51,400 Speaker 1: So if you apply that again, if you look at 599 00:30:51,400 --> 00:30:53,520 Speaker 1: the at the rats, you can see that the same 600 00:30:53,560 --> 00:30:57,120 Speaker 1: thing is happening in other species. That rats too are 601 00:30:57,160 --> 00:31:00,520 Speaker 1: taking data and running through it, and cats are and 602 00:31:00,640 --> 00:31:02,760 Speaker 1: they're coming out much better on the other end. So 603 00:31:02,800 --> 00:31:05,160 Speaker 1: it's kind of like just as our computers are running 604 00:31:05,160 --> 00:31:08,080 Speaker 1: their defrag programs at like three in the morning or 605 00:31:08,160 --> 00:31:10,960 Speaker 1: scanning for viruses, it's kind of the dream or dream cycle, 606 00:31:11,080 --> 00:31:15,240 Speaker 1: and our sleeper is achieving the same thing. Yeah, yeah, absolutely. Actually, 607 00:31:15,360 --> 00:31:16,680 Speaker 1: when I was looking a lot of this data that 608 00:31:16,720 --> 00:31:19,200 Speaker 1: I was thinking about, um, how much of this is 609 00:31:19,280 --> 00:31:21,840 Speaker 1: so similar to a computer, which makes sense because humans 610 00:31:22,560 --> 00:31:26,160 Speaker 1: if created computers, and it's sort of based on the 611 00:31:26,200 --> 00:31:28,760 Speaker 1: way that we say that, like maybe we didn't create well, 612 00:31:28,800 --> 00:31:31,560 Speaker 1: you know, you've got some you've got some other theories 613 00:31:31,880 --> 00:31:33,960 Speaker 1: blown around there. Yeah, I don't know if this is 614 00:31:34,000 --> 00:31:37,240 Speaker 1: the space one. But I'm not going to mention aliens. 615 00:31:37,280 --> 00:31:41,720 Speaker 1: I'm not. Um, But then you also have I think 616 00:31:41,720 --> 00:31:45,080 Speaker 1: it's important to also mentioned that not all creatures dream. 617 00:31:45,160 --> 00:31:48,400 Speaker 1: To reptiles, we don't think that they dream. I should 618 00:31:48,440 --> 00:31:52,560 Speaker 1: say that because yeah, I mean, come on, they've got 619 00:31:52,720 --> 00:31:57,800 Speaker 1: you know, primorial go in there. I don't know, um, 620 00:31:57,840 --> 00:32:00,280 Speaker 1: but they actually they're not exhibiting any sort of ways 621 00:32:00,320 --> 00:32:03,280 Speaker 1: that we can we recognize the streaming. So it may 622 00:32:03,360 --> 00:32:05,800 Speaker 1: just be that we're limited in what we can sense 623 00:32:05,840 --> 00:32:07,920 Speaker 1: in them, but I just think it's important for that 624 00:32:07,960 --> 00:32:11,560 Speaker 1: out there. Um. So we can really only theorize out 625 00:32:11,560 --> 00:32:14,160 Speaker 1: the benefits of animals. Obviously, obviously we can't go up 626 00:32:14,160 --> 00:32:16,400 Speaker 1: to them and say, hey, draft what, how is this 627 00:32:16,480 --> 00:32:19,720 Speaker 1: benefiting you? Um? But I think the difference between humans 628 00:32:19,720 --> 00:32:24,720 Speaker 1: and animals is that for animals, it's more about external forces. Um, 629 00:32:24,960 --> 00:32:28,960 Speaker 1: the they're reacting to their external forces. They're behaving that 630 00:32:29,480 --> 00:32:33,240 Speaker 1: in different ways. Um. Because of that. You know, we 631 00:32:33,320 --> 00:32:36,680 Speaker 1: sleep during the day, or excuse me, at night because 632 00:32:36,880 --> 00:32:39,720 Speaker 1: we work during the day. They don't have this sort 633 00:32:39,760 --> 00:32:43,280 Speaker 1: of pressures or concerns, and so they may be sleeping 634 00:32:43,320 --> 00:32:47,600 Speaker 1: when there's a predator around. So, um, we know that 635 00:32:47,640 --> 00:32:51,400 Speaker 1: they're benefiting from it because they they're not gonna get eaten, 636 00:32:51,680 --> 00:32:55,120 Speaker 1: so they're gonna you know, scroll themselves away, so to speak. Uh. 637 00:32:55,280 --> 00:32:57,960 Speaker 1: So that's a benefit to them, and it's and it's 638 00:32:57,960 --> 00:33:01,000 Speaker 1: something that we can theorize about. But again we can't. 639 00:33:01,160 --> 00:33:04,440 Speaker 1: We don't have any definitive answers on right now. We 640 00:33:04,440 --> 00:33:07,000 Speaker 1: can definitely deprive them of their sleep and see what happens. 641 00:33:07,000 --> 00:33:10,360 Speaker 1: And there's been a number of interesting slash scary studies, 642 00:33:10,880 --> 00:33:14,120 Speaker 1: um creepy studies about that. For instance, there was like 643 00:33:14,200 --> 00:33:18,480 Speaker 1: there's a Princeton University study in which they deprived number 644 00:33:18,520 --> 00:33:20,360 Speaker 1: of animals will sleep and they found it like seventy 645 00:33:20,360 --> 00:33:25,040 Speaker 1: two hours without sleep results in elevated stress hormone levels 646 00:33:25,840 --> 00:33:29,760 Speaker 1: and the animals end up producing significantly fewer brain cells, 647 00:33:30,600 --> 00:33:32,800 Speaker 1: which again flows right back into what we're talking about, 648 00:33:32,840 --> 00:33:36,280 Speaker 1: the processing of all the stimuli, the recharging you know, 649 00:33:36,400 --> 00:33:39,760 Speaker 1: of the of the you know, the the fleshy computer, 650 00:33:40,480 --> 00:33:46,080 Speaker 1: um and the computer. And they also found that like specifically, 651 00:33:46,200 --> 00:33:50,080 Speaker 1: like you know, we're talking about rats earlier, um, like 652 00:33:50,120 --> 00:33:54,240 Speaker 1: two weeks without sleep kill a rat dead um, And 653 00:33:54,680 --> 00:33:57,280 Speaker 1: same same thing with other rodents and uh and even 654 00:33:57,480 --> 00:33:59,880 Speaker 1: um even flies like you know, like I said, we're 655 00:33:59,880 --> 00:34:02,440 Speaker 1: not sure about all insects, but if like apparently there's 656 00:34:02,440 --> 00:34:05,480 Speaker 1: a they've tried to deprive flies of sleep and found 657 00:34:05,480 --> 00:34:09,040 Speaker 1: it flyestyve so, which makes sense. I mean, you know, 658 00:34:10,000 --> 00:34:11,960 Speaker 1: I'm sure you've pulled all nighter before. We all have 659 00:34:13,440 --> 00:34:16,480 Speaker 1: awful and if for some reason you did that two 660 00:34:16,520 --> 00:34:19,839 Speaker 1: days in a row, then your your cognitent functions are 661 00:34:19,920 --> 00:34:22,080 Speaker 1: like in a breakdown a lot, I mean you're an 662 00:34:22,160 --> 00:34:25,000 Speaker 1: after wear your your green shirt or whatever, like half 663 00:34:25,000 --> 00:34:29,440 Speaker 1: my brain is out. Yeah, and um, it's interesting. I've 664 00:34:29,440 --> 00:34:33,799 Speaker 1: also read that like there's like a specific gene that 665 00:34:33,960 --> 00:34:36,080 Speaker 1: like some people have, like you know that there there's 666 00:34:36,120 --> 00:34:37,680 Speaker 1: some people people that are like, if I don't get 667 00:34:37,680 --> 00:34:39,439 Speaker 1: my six to eight hours of sleep, I just can't 668 00:34:39,480 --> 00:34:42,279 Speaker 1: function and uh, and then other people seem to be 669 00:34:42,280 --> 00:34:44,720 Speaker 1: able to pull the all nighters with a little more finesse. 670 00:34:45,200 --> 00:34:48,080 Speaker 1: And there's there's like a genetic marker for that, uh 671 00:34:48,400 --> 00:34:51,400 Speaker 1: that they'veified. Yeah. I don't have the name of it offhand, 672 00:34:51,440 --> 00:34:53,280 Speaker 1: but we I think we mentioned in the previous podcast. 673 00:34:53,560 --> 00:34:56,400 Speaker 1: So it's not necessarily that they're lacking what what is 674 00:34:56,440 --> 00:34:59,279 Speaker 1: the gosh can't it's not coming to me right now, 675 00:34:59,320 --> 00:35:02,120 Speaker 1: But there's just certain I think hormone that um that 676 00:35:02,200 --> 00:35:05,200 Speaker 1: we have that helps melatonin, that regulates that. It's not 677 00:35:05,280 --> 00:35:08,640 Speaker 1: necessarily that they have a little or a lot in melatonin. 678 00:35:08,800 --> 00:35:12,239 Speaker 1: It's just that they've adapted somehow which are different you know, 679 00:35:12,360 --> 00:35:15,680 Speaker 1: just a different evolutionary you know adaptation. So it's one 680 00:35:15,719 --> 00:35:17,359 Speaker 1: of the things where if like you know, some sort 681 00:35:17,400 --> 00:35:19,799 Speaker 1: of space predator came down and started eating everybody that 682 00:35:19,960 --> 00:35:23,200 Speaker 1: couldn't pull all nighters. Then we'd all we'd only have 683 00:35:23,320 --> 00:35:25,440 Speaker 1: that one variation of humans left. So I think it's 684 00:35:25,480 --> 00:35:27,560 Speaker 1: good to know that. And I say that because I 685 00:35:27,560 --> 00:35:29,799 Speaker 1: think I read somewhere that Oprah only sleeps like six 686 00:35:29,880 --> 00:35:32,319 Speaker 1: hours a night, and I was like, wow, another way 687 00:35:32,320 --> 00:35:36,439 Speaker 1: in whichever is making me feel like, you know, I'm 688 00:35:36,440 --> 00:35:40,640 Speaker 1: not doing all that I should be. Yeah, I love you. 689 00:35:41,280 --> 00:35:45,200 Speaker 1: So the fruitfuly thing, it really kind of cracks me 690 00:35:45,280 --> 00:35:49,080 Speaker 1: up because I think, how exactly did they deprive them 691 00:35:49,120 --> 00:35:51,799 Speaker 1: of sleep? Yeah? I picture them just sort of poking 692 00:35:51,840 --> 00:35:54,120 Speaker 1: them in the shoulder like a little stick. Okay, I 693 00:35:54,480 --> 00:35:56,560 Speaker 1: was I was just thinking about these tiny little cigarettes 694 00:35:56,600 --> 00:35:59,160 Speaker 1: they might have fashioned, and some little cups of coffee 695 00:35:59,280 --> 00:36:02,560 Speaker 1: just keep them caffeinated and up. Yeah. Well that's that's 696 00:36:02,600 --> 00:36:05,080 Speaker 1: the Terrans. When they talk about the sleep these animals 697 00:36:05,120 --> 00:36:07,120 Speaker 1: like just being super stressed from not sleeping. It's kind 698 00:36:07,120 --> 00:36:09,480 Speaker 1: of like I would be really stressed too if like 699 00:36:09,520 --> 00:36:12,799 Speaker 1: somebody was making like preventing me from sleep, right you 700 00:36:12,800 --> 00:36:15,560 Speaker 1: know that? Would you know, what's this guy doing in 701 00:36:15,600 --> 00:36:17,440 Speaker 1: my room poking me with a stick all night, you know, 702 00:36:17,640 --> 00:36:21,000 Speaker 1: right enough with the tiny cigarette. That makes me think 703 00:36:21,040 --> 00:36:23,799 Speaker 1: of this too, is that I've heard that when you're 704 00:36:24,760 --> 00:36:26,520 Speaker 1: when you're really stressed out during the day, that that 705 00:36:26,560 --> 00:36:29,640 Speaker 1: does mess up your cortisol levels, which tend to peek 706 00:36:29,960 --> 00:36:33,839 Speaker 1: during the nighttime hours, which usually your circadian rhythms would be, 707 00:36:34,480 --> 00:36:37,799 Speaker 1: you know, stomping on that making sure that you you know, 708 00:36:38,719 --> 00:36:41,640 Speaker 1: that wouldn't be happening. So I'm just sort of fascinated 709 00:36:41,680 --> 00:36:43,920 Speaker 1: with that because I wonder if the same thing happens 710 00:36:43,920 --> 00:36:46,440 Speaker 1: in animals and their cortisol levels also go up, or 711 00:36:46,480 --> 00:36:50,080 Speaker 1: if that's just a particularly human thing. Yeah, I don't know, 712 00:36:50,120 --> 00:36:52,759 Speaker 1: like humans don't get enough sleep, you know that they 713 00:36:52,800 --> 00:36:55,040 Speaker 1: say at least, you know, a a degradation of the memory. 714 00:36:55,200 --> 00:36:57,560 Speaker 1: You can't you know, hold as many facts, your alertness, 715 00:36:57,680 --> 00:37:01,640 Speaker 1: level of coordination, judgment, everything kind of tumbles downhill. So 716 00:37:01,880 --> 00:37:04,359 Speaker 1: supposedly like Keith Richards stayed awake for like a week 717 00:37:04,400 --> 00:37:08,319 Speaker 1: once or something, so um, I never put him in 718 00:37:08,400 --> 00:37:11,120 Speaker 1: the same column with Navy seals, but now I am. 719 00:37:11,320 --> 00:37:13,799 Speaker 1: That's yeah, It's like I imagined in the whole team 720 00:37:13,800 --> 00:37:17,400 Speaker 1: of them, a whole team of Keith Richard's est Navy 721 00:37:17,400 --> 00:37:20,080 Speaker 1: seals sort of like stumbling into a secret hideout and 722 00:37:20,280 --> 00:37:25,040 Speaker 1: mumbling about well should haven't? Okay? That was that was 723 00:37:25,080 --> 00:37:28,000 Speaker 1: not good? Sorry about that? Well? So there you have it. Right, 724 00:37:28,120 --> 00:37:31,040 Speaker 1: That's that's pretty much animal sleep. So to all animals sleep, 725 00:37:31,239 --> 00:37:33,600 Speaker 1: A large number of them do. There's some we're not 726 00:37:33,640 --> 00:37:36,600 Speaker 1: sure about. But sleep does different things depending on what 727 00:37:36,680 --> 00:37:40,359 Speaker 1: your species happens to be. Yeah. Yeah, and we still 728 00:37:40,480 --> 00:37:43,839 Speaker 1: don't know what our cats are dreaming about. Um, we 729 00:37:43,880 --> 00:37:45,640 Speaker 1: want to know. We want to hear from you. Do 730 00:37:45,680 --> 00:37:47,600 Speaker 1: you what are your cats dreaming about something? Are they 731 00:37:47,640 --> 00:37:50,799 Speaker 1: trying to plant thoughts and your subconscious Yes, let us 732 00:37:50,800 --> 00:37:53,960 Speaker 1: know pretty much any thoughts you have about your cat's 733 00:37:54,239 --> 00:37:57,120 Speaker 1: brain activity, we would be happy to hear it. So Hey, 734 00:37:57,160 --> 00:37:59,680 Speaker 1: if you want to learn more about sleep and dreams, 735 00:38:00,239 --> 00:38:02,359 Speaker 1: be sure to check out the house stuff works dot 736 00:38:02,360 --> 00:38:05,160 Speaker 1: com website. We have articles like do all Creatures Sleep? 737 00:38:05,200 --> 00:38:09,040 Speaker 1: By Jessica Toothman. We got a couple of articles from 738 00:38:09,120 --> 00:38:13,640 Speaker 1: Charles Bryant, Sleep Important, Why do we sleep? And uh? 739 00:38:13,840 --> 00:38:16,960 Speaker 1: We even have how sleep works by Marshall Brain himself. 740 00:38:17,320 --> 00:38:24,400 Speaker 1: Thanks for listening for more on this and thousands of 741 00:38:24,400 --> 00:38:28,719 Speaker 1: other topics. Is it how stuff works dot Com? Want more? 742 00:38:28,760 --> 00:38:31,359 Speaker 1: How stuff Works. Check out our blogs on the House 743 00:38:31,400 --> 00:38:32,880 Speaker 1: stuff works dot com home page.