1 00:00:00,120 --> 00:00:02,480 Speaker 1: Guess what mango? What's up? Will? So I was reading 2 00:00:02,520 --> 00:00:05,880 Speaker 1: about this anthropologist Robert Lohman, and in the nineties Loman 3 00:00:05,920 --> 00:00:08,399 Speaker 1: went to popa New Guinea to study the Assabano people. 4 00:00:08,840 --> 00:00:10,360 Speaker 1: So it was his first night there and one of 5 00:00:10,360 --> 00:00:13,160 Speaker 1: the elders keeps apologizing to him because he couldn't sleep 6 00:00:13,200 --> 00:00:15,480 Speaker 1: over with him, like he wanted to share a bed 7 00:00:15,520 --> 00:00:18,160 Speaker 1: with Loman, but he had a few prior commitments. So 8 00:00:18,320 --> 00:00:21,000 Speaker 1: Loman's a little confused, right, But then he keeps getting 9 00:00:21,000 --> 00:00:23,880 Speaker 1: these offers from other men, and he quickly realizes this 10 00:00:23,960 --> 00:00:26,880 Speaker 1: is not a sexual thing. It's their version of hospitality, 11 00:00:27,240 --> 00:00:29,480 Speaker 1: like to make sure you sleep well and feel welcomed. 12 00:00:29,640 --> 00:00:31,840 Speaker 1: The Assabana make it a priority to offer you some 13 00:00:31,920 --> 00:00:35,480 Speaker 1: conversation and body warmth. And also they tell Loman having 14 00:00:35,479 --> 00:00:37,479 Speaker 1: a local in the room will protect him from witchcraft. 15 00:00:37,520 --> 00:00:40,320 Speaker 1: So you know, all good things. But what's funny is 16 00:00:40,360 --> 00:00:43,319 Speaker 1: that sharing a bed with strangers, especially while traveling, used 17 00:00:43,360 --> 00:00:46,280 Speaker 1: to be common practice. I was reading this book Wild Nights, 18 00:00:46,320 --> 00:00:48,280 Speaker 1: and and if the author talks about how it shows 19 00:00:48,320 --> 00:00:51,360 Speaker 1: up in Erasmus writing, it's disgusted moby dick. But the 20 00:00:51,360 --> 00:00:53,960 Speaker 1: funniest account to me was from the seventeenth century diarist 21 00:00:53,960 --> 00:00:57,160 Speaker 1: Samuel Peeps. Why's that well? Peeps used to keep this 22 00:00:57,240 --> 00:00:59,520 Speaker 1: log of all of his bed mates, scoring them on 23 00:00:59,560 --> 00:01:02,080 Speaker 1: the quality their conversation, making a note if they did 24 00:01:02,080 --> 00:01:04,600 Speaker 1: too much tossing and turning. Can you imagine how nerve 25 00:01:04,680 --> 00:01:06,720 Speaker 1: racking of you to share a bed with him? I mean, 26 00:01:06,760 --> 00:01:08,560 Speaker 1: I feel like I spend a whole night worrying if 27 00:01:08,600 --> 00:01:11,000 Speaker 1: I was hugging the sheets, or like, think about if 28 00:01:11,040 --> 00:01:14,120 Speaker 1: my pillow talk was good enough. I want a good 29 00:01:14,120 --> 00:01:17,319 Speaker 1: review too. It's very nerve wracking. So well, speaking of 30 00:01:17,319 --> 00:01:18,920 Speaker 1: pillow talk, what do you say? We dive into this 31 00:01:18,959 --> 00:01:36,959 Speaker 1: episode on sleep Hei their podcast listeners. I'm Will Pearson 32 00:01:37,080 --> 00:01:39,559 Speaker 1: and as always I'm joined by my good friend Mangesh Ticketer, 33 00:01:39,680 --> 00:01:42,080 Speaker 1: and you're listening to Part Time Genius. Now we've got 34 00:01:42,080 --> 00:01:44,440 Speaker 1: a fun show today. We're discussing a topic that you 35 00:01:44,480 --> 00:01:49,040 Speaker 1: know frustrates me. Sleep. I have never been a fan 36 00:01:49,120 --> 00:01:51,920 Speaker 1: of sleeping. I'm definitely in the camp of people who 37 00:01:51,920 --> 00:01:54,680 Speaker 1: would totally take a pill if I could avoid it altogether. 38 00:01:55,440 --> 00:01:57,960 Speaker 1: I've always been this way, even in first grade when 39 00:01:57,960 --> 00:02:00,560 Speaker 1: Miss Pritchett made us declare our favorite animal. You know, 40 00:02:00,600 --> 00:02:04,440 Speaker 1: an animal I chose the giraffe. Why not because it 41 00:02:04,480 --> 00:02:06,960 Speaker 1: was tall, not because it could slam dunk with ease, 42 00:02:07,520 --> 00:02:10,239 Speaker 1: because they only have to sleep a couple hours of night. 43 00:02:10,320 --> 00:02:12,880 Speaker 1: How sad is this that that was like the reason 44 00:02:12,960 --> 00:02:15,880 Speaker 1: that I chose it. And I've always wondered if humans 45 00:02:15,880 --> 00:02:19,520 Speaker 1: will ever be able to avoid sleep entirely. So we're 46 00:02:19,520 --> 00:02:21,000 Speaker 1: gonna get to the bottom of this, are you ready? 47 00:02:21,040 --> 00:02:22,840 Speaker 1: I mean, like the very bottom. We're gonna figure this 48 00:02:22,840 --> 00:02:24,880 Speaker 1: out because I need to know if I'm going to 49 00:02:24,960 --> 00:02:27,760 Speaker 1: have my never sleep again dream come true. But but 50 00:02:27,800 --> 00:02:29,720 Speaker 1: we've got so many other fun things coming up in 51 00:02:29,760 --> 00:02:31,520 Speaker 1: the show as well. We'll take a look at what 52 00:02:31,560 --> 00:02:34,320 Speaker 1: happens in our brains when we're sleeping, what happens in 53 00:02:34,320 --> 00:02:36,360 Speaker 1: our brains when we're sleeping in a new place, or 54 00:02:36,400 --> 00:02:38,680 Speaker 1: when we're staring at a cell phone before we sleep. 55 00:02:39,160 --> 00:02:41,360 Speaker 1: We've got our part time genius quiz with a couple 56 00:02:41,400 --> 00:02:45,960 Speaker 1: of Zomba instructor Zumba instructors, right, Okay, that's kind this 57 00:02:46,040 --> 00:02:49,080 Speaker 1: is awesome, And someone I'm super excited to talk to. 58 00:02:49,160 --> 00:02:52,320 Speaker 1: We've got one of our favorite inventors, this self proclaimed 59 00:02:52,760 --> 00:02:56,240 Speaker 1: Queen of Crappy Robots, Simone Yet who happened to invent 60 00:02:56,280 --> 00:02:59,000 Speaker 1: a really funny alarm closs. So I'll talk about that. 61 00:02:59,080 --> 00:03:01,919 Speaker 1: She is amazing. So but before we get to all 62 00:03:02,000 --> 00:03:06,600 Speaker 1: of that, how weird a sleep mango? I know? I 63 00:03:06,600 --> 00:03:08,959 Speaker 1: mean the way we talk about sleep is really funny, 64 00:03:09,040 --> 00:03:11,080 Speaker 1: like people used to wear it, does this badge of 65 00:03:11,080 --> 00:03:13,880 Speaker 1: honor how little they slept. I've read this thing about 66 00:03:14,000 --> 00:03:16,640 Speaker 1: Keith Richards where he talked about being up for five 67 00:03:16,680 --> 00:03:20,600 Speaker 1: full days just working and composing and all this while 68 00:03:20,720 --> 00:03:24,280 Speaker 1: his lazy bandmates were taking naps. But um, it's always 69 00:03:24,360 --> 00:03:26,720 Speaker 1: this dig from productive people. But of course, you know 70 00:03:26,800 --> 00:03:30,160 Speaker 1: Keith Richard's being. Keith Richards has disaster stories about this too, right, 71 00:03:30,520 --> 00:03:32,480 Speaker 1: So there's this one time he stayed up for nine 72 00:03:32,560 --> 00:03:37,000 Speaker 1: days straight, which sounds horrible, but the way he describes it, 73 00:03:37,040 --> 00:03:40,200 Speaker 1: he was writing this adrenaline high and feeling totally awake, 74 00:03:40,280 --> 00:03:42,600 Speaker 1: and then all of a sudden, as he was reaching 75 00:03:42,600 --> 00:03:45,320 Speaker 1: to put a cassette tape on a shelf, he fell 76 00:03:45,360 --> 00:03:48,800 Speaker 1: asleep so hard he collapsed and broke his nose. I'm 77 00:03:48,800 --> 00:03:51,480 Speaker 1: not sure sleep studies should really be conducted on Keith Richards. 78 00:03:51,520 --> 00:03:54,680 Speaker 1: I'm thinking we're probably not as accurate. So well, there 79 00:03:54,680 --> 00:03:57,839 Speaker 1: are definitely these hyper productive people like Margaret Thatcher who 80 00:03:57,880 --> 00:03:59,880 Speaker 1: only need three or four hours of sleep at night. 81 00:04:00,400 --> 00:04:02,960 Speaker 1: She needed so little sleep, and she was so committed 82 00:04:03,000 --> 00:04:05,880 Speaker 1: to being the best informed person in any room. She'd 83 00:04:05,880 --> 00:04:08,040 Speaker 1: stay up and read into the late hours, but then 84 00:04:08,080 --> 00:04:10,080 Speaker 1: she'd be up again at five in the morning to 85 00:04:10,120 --> 00:04:12,960 Speaker 1: listen to the British Farm Report. And of course all 86 00:04:13,040 --> 00:04:16,480 Speaker 1: her staff was constantly exhausted trying to keep pace. I know, 87 00:04:16,720 --> 00:04:19,640 Speaker 1: sleep doctors actually claimed she's got this rare genetic mutation 88 00:04:19,720 --> 00:04:21,960 Speaker 1: that allows her to function on less sleep, and it 89 00:04:21,960 --> 00:04:25,159 Speaker 1: affects about one percent of the population. But it's funny. 90 00:04:25,160 --> 00:04:28,039 Speaker 1: I read this beleaguered quote from her husband Dennis in 91 00:04:28,040 --> 00:04:32,040 Speaker 1: the BBC. I didn't even know there was a Dennist 92 00:04:32,040 --> 00:04:35,640 Speaker 1: stature until I read this piece. But his greatest contribution 93 00:04:35,680 --> 00:04:37,400 Speaker 1: to the republic seems to be trying to get her 94 00:04:37,480 --> 00:04:39,680 Speaker 1: to sleep. Like every once in a while he was 95 00:04:39,720 --> 00:04:47,320 Speaker 1: observed desperately reminding her woman bed talked that way. Of course. 96 00:04:47,320 --> 00:04:49,760 Speaker 1: My you know my other favorite Margaret Thatcher fact, and 97 00:04:49,800 --> 00:04:51,960 Speaker 1: that's in the late seventies, when she went to this 98 00:04:52,040 --> 00:04:54,880 Speaker 1: economic summit in Japan. The country tried to supply her 99 00:04:54,880 --> 00:04:59,919 Speaker 1: with twenty karate ladies I know. I just loved the 100 00:05:00,000 --> 00:05:02,320 Speaker 1: phrase create ladies, like there should be more of that 101 00:05:02,360 --> 00:05:04,839 Speaker 1: in history books. I agree. I agree. So there was 102 00:05:04,880 --> 00:05:07,800 Speaker 1: definitely a time, especially in the nineteen eighties, where Wall 103 00:05:07,800 --> 00:05:10,839 Speaker 1: Street execs and rock stars and media moguls used to 104 00:05:10,839 --> 00:05:14,320 Speaker 1: brag about how little sleep they got, like not sleeping 105 00:05:14,480 --> 00:05:17,440 Speaker 1: was thought to be glamorous, and even as far back 106 00:05:17,440 --> 00:05:20,720 Speaker 1: as Napoleon, who outlined the perfect amount of sleep, he 107 00:05:20,760 --> 00:05:23,360 Speaker 1: would say six hours for a man, seven hours for 108 00:05:23,400 --> 00:05:26,360 Speaker 1: a woman, eight hours for a fool, which just sounds 109 00:05:26,360 --> 00:05:29,440 Speaker 1: so French, it does, but now it feels like the 110 00:05:29,480 --> 00:05:32,440 Speaker 1: complete opposite. You look at these world class athletes like 111 00:05:32,480 --> 00:05:35,919 Speaker 1: Hussain Bold Lebron James, and they really brag about the 112 00:05:35,920 --> 00:05:39,039 Speaker 1: twelve hours of uninterrupted sleep they get and they work 113 00:05:39,160 --> 00:05:41,200 Speaker 1: to protect it. Yeah, there are tons of them, like 114 00:05:41,360 --> 00:05:44,600 Speaker 1: Marion Bartoli who won Wimbledon. She famously took this long 115 00:05:44,720 --> 00:05:48,200 Speaker 1: nap before winning. And uh, Christiano Ronaldo, the soccer star. 116 00:05:48,680 --> 00:05:51,560 Speaker 1: You know, he sleeps in this totally dark chamber and 117 00:05:51,600 --> 00:05:54,359 Speaker 1: he has electric blinds that flip open at ten am 118 00:05:54,480 --> 00:05:56,840 Speaker 1: or whenever he wants to get up, like that's his 119 00:05:56,880 --> 00:05:59,720 Speaker 1: alarm clock, and it's because he doesn't want any artificial 120 00:05:59,800 --> 00:06:02,039 Speaker 1: light in his room bothering him. I gotta remember to 121 00:06:02,040 --> 00:06:03,880 Speaker 1: turn the lights off in my chamber. Maybe that's been 122 00:06:03,960 --> 00:06:07,599 Speaker 1: my problem. So there's this clear premium on sleep. But 123 00:06:07,680 --> 00:06:10,120 Speaker 1: don't you think it's weird that we spend a third 124 00:06:10,160 --> 00:06:13,440 Speaker 1: of our lives pretty much paralyzed and unconscious. Honestly, I'm 125 00:06:13,480 --> 00:06:17,400 Speaker 1: getting just thinking about it. Think of all the things 126 00:06:17,520 --> 00:06:19,320 Speaker 1: you could be doing. I know we should all be 127 00:06:19,480 --> 00:06:22,920 Speaker 1: thatchering every night. But one of the things that's fascinating 128 00:06:22,920 --> 00:06:25,560 Speaker 1: to me is that there's this insistence that everyone has 129 00:06:25,600 --> 00:06:28,159 Speaker 1: to sleep the same way, right. And I was reading 130 00:06:28,160 --> 00:06:31,440 Speaker 1: this book Dreamland by David Randall, and in one section 131 00:06:31,480 --> 00:06:34,120 Speaker 1: he talks about this history professor from Virginia Tech who 132 00:06:34,200 --> 00:06:37,599 Speaker 1: kept finding references in medieval literature to first sleep and 133 00:06:37,720 --> 00:06:40,719 Speaker 1: second sleep. He found it in Canterbury Tales. He found 134 00:06:40,800 --> 00:06:43,480 Speaker 1: an old text. It was just repeated in lots of places, 135 00:06:43,480 --> 00:06:47,440 Speaker 1: and what he eventually sussed out was that historically people 136 00:06:47,440 --> 00:06:50,080 Speaker 1: will get two periods of rest. Every night. They'd go 137 00:06:50,160 --> 00:06:52,400 Speaker 1: to bed, then they'd wake up for an hour and 138 00:06:52,520 --> 00:06:55,480 Speaker 1: talk and think and engage in some canoe ling, and 139 00:06:56,000 --> 00:06:57,800 Speaker 1: after an hour they'd go back to bed and sleep. 140 00:06:57,880 --> 00:07:00,400 Speaker 1: Till morning, and this was a really common thing. Yeah, 141 00:07:00,440 --> 00:07:02,520 Speaker 1: I mean it reminds me of Ben Franklin and his 142 00:07:02,600 --> 00:07:05,360 Speaker 1: so called air baths, you know, where Franklin would wake 143 00:07:05,400 --> 00:07:07,080 Speaker 1: up at four or five in the morning work for 144 00:07:07,120 --> 00:07:09,000 Speaker 1: an hour. He claimed part of the reason he was 145 00:07:09,040 --> 00:07:12,120 Speaker 1: so productive is that he'd do it completely and totally 146 00:07:12,280 --> 00:07:14,760 Speaker 1: in the box, like in front of an open window, 147 00:07:15,280 --> 00:07:18,160 Speaker 1: hence the term air bath. But he'd have this eufork 148 00:07:18,280 --> 00:07:20,480 Speaker 1: period of productivity. Then he'd have the best sleep of 149 00:07:20,520 --> 00:07:23,720 Speaker 1: his life after that. Yeah, and obviously nude. Ben Franklin 150 00:07:23,760 --> 00:07:26,480 Speaker 1: had genius ideas to give us. Right, But there's this 151 00:07:26,680 --> 00:07:29,440 Speaker 1: great myth all over the internet that I so wish 152 00:07:29,560 --> 00:07:32,320 Speaker 1: was true. What's that? And it's that then Franklin invented 153 00:07:32,360 --> 00:07:35,600 Speaker 1: the first mechanical bull. That's gotta be true, right, I mean, 154 00:07:35,600 --> 00:07:39,120 Speaker 1: that's it. That's like the story goes that Ben Franklin 155 00:07:39,160 --> 00:07:41,880 Speaker 1: made a prototype bull and let John Adams ride it, 156 00:07:42,360 --> 00:07:44,840 Speaker 1: and it was so unwriteable that Adams ended up with 157 00:07:44,880 --> 00:07:46,640 Speaker 1: a third degree burned on his bottom. I'm going to 158 00:07:46,720 --> 00:07:50,720 Speaker 1: say so specific, but the part that makes it like 159 00:07:50,920 --> 00:07:54,120 Speaker 1: feel believable is that the primary reason Ben invented the 160 00:07:54,120 --> 00:07:56,840 Speaker 1: thing was to get people's bowels moving right, which is 161 00:07:57,160 --> 00:07:58,720 Speaker 1: you know, a total live But I love that some 162 00:07:58,840 --> 00:08:01,200 Speaker 1: fifth grade is probably in it in his school report. 163 00:08:01,360 --> 00:08:03,720 Speaker 1: That's brilliant. That's brilliant. But let's get back to this 164 00:08:03,800 --> 00:08:06,840 Speaker 1: first sleep, second sleep thing, which is fascinating. I mean, 165 00:08:06,840 --> 00:08:09,200 Speaker 1: to me, the most interesting part is that it's been 166 00:08:09,200 --> 00:08:12,800 Speaker 1: recreated in science experiments, like when people are isolated from 167 00:08:12,840 --> 00:08:17,280 Speaker 1: their screens, humans actually returned to this natural human sleep pattern, 168 00:08:17,640 --> 00:08:19,760 Speaker 1: and it brings up all sorts of questions about our 169 00:08:19,880 --> 00:08:23,160 Speaker 1: circadian clocks. But let's take a step back and talk 170 00:08:23,200 --> 00:08:25,160 Speaker 1: about that. I mean, we all know our bodies have 171 00:08:25,240 --> 00:08:28,800 Speaker 1: a natural clock, or what we call a circadian rhythm, 172 00:08:28,840 --> 00:08:31,360 Speaker 1: and as part of that twenty four hour cycle, we 173 00:08:31,400 --> 00:08:33,280 Speaker 1: know we get tired at night, then we wake up 174 00:08:33,320 --> 00:08:35,880 Speaker 1: in the morning. But why have we evolved to do 175 00:08:36,000 --> 00:08:38,400 Speaker 1: any of this? I mean, it seems like just the 176 00:08:38,480 --> 00:08:41,080 Speaker 1: act of going to sleep must have been so dangerous 177 00:08:41,160 --> 00:08:44,559 Speaker 1: for our ancestors, not wanting to be eaten by predators. 178 00:08:45,200 --> 00:08:47,400 Speaker 1: In fact, there's this this well known sleep researcher at 179 00:08:47,440 --> 00:08:51,040 Speaker 1: the University of Chicago named Alan Retstaffen who said, if 180 00:08:51,040 --> 00:08:54,720 Speaker 1: sleep doesn't serve an absolutely vital function, it's the greatest 181 00:08:54,720 --> 00:08:57,959 Speaker 1: mistake evolution has ever made. So there's got to be 182 00:08:58,000 --> 00:09:00,560 Speaker 1: a really good reason, right, I mean there is, right, 183 00:09:00,679 --> 00:09:03,800 Speaker 1: there's strong evidence that sleep is important for our nervous 184 00:09:03,840 --> 00:09:07,240 Speaker 1: system and our immune system, but the latest research on 185 00:09:07,320 --> 00:09:09,120 Speaker 1: what's happening in our brains when we sleep is some 186 00:09:09,160 --> 00:09:11,600 Speaker 1: of the most compelling. There's a tendency to think of 187 00:09:11,640 --> 00:09:14,400 Speaker 1: sleeping this time when our brains are inactive. It's actually 188 00:09:14,440 --> 00:09:17,400 Speaker 1: the opposite. Without getting too deep into it, we should 189 00:09:17,440 --> 00:09:20,679 Speaker 1: probably run through the five stages of sleep. So the 190 00:09:20,679 --> 00:09:23,800 Speaker 1: first and second stages are really light, and in fact, 191 00:09:23,880 --> 00:09:25,560 Speaker 1: the first stage is so light that you might not 192 00:09:25,640 --> 00:09:28,120 Speaker 1: know that you're sleeping. But by the second stage, your 193 00:09:28,160 --> 00:09:31,679 Speaker 1: brain starts pinging out some sleep specific waves. These are 194 00:09:31,679 --> 00:09:33,680 Speaker 1: just flashes that last a few seconds at a time. 195 00:09:33,920 --> 00:09:36,560 Speaker 1: Then the third and fourth stages move into this deep sleep, 196 00:09:36,600 --> 00:09:39,480 Speaker 1: and your brain starts sending out these long rhythmic bursts 197 00:09:39,520 --> 00:09:42,240 Speaker 1: called delta waves. This is where you start floating away 198 00:09:42,240 --> 00:09:45,440 Speaker 1: from consciousness, and in the fourth stage particularly, that's where 199 00:09:45,440 --> 00:09:47,679 Speaker 1: you can get disoriented. So I don't know if this 200 00:09:47,720 --> 00:09:50,080 Speaker 1: has happened to you, but if you've ever had sleep drunkenness, 201 00:09:50,200 --> 00:09:52,320 Speaker 1: like if you've ever woken up at the wrong cycle 202 00:09:52,360 --> 00:09:55,199 Speaker 1: and felt totally groggy. That's because you were interrupted in 203 00:09:55,240 --> 00:09:57,760 Speaker 1: the fourth stage. You're you're saying this all in such 204 00:09:57,800 --> 00:10:00,199 Speaker 1: a soothing voice. I think I need to share a 205 00:10:00,320 --> 00:10:03,080 Speaker 1: fact about waking people up in that fourth stage, so 206 00:10:03,120 --> 00:10:05,839 Speaker 1: they're actually all these ridiculous alarm clocks meant to wake 207 00:10:05,920 --> 00:10:09,880 Speaker 1: up really heavy sleepers, Like we've got simone yatch later today, 208 00:10:09,880 --> 00:10:12,200 Speaker 1: who made one of the funniest alarm clocks I've seen. 209 00:10:12,640 --> 00:10:15,520 Speaker 1: But there's this other great fire alarm clock from Japan 210 00:10:15,640 --> 00:10:18,440 Speaker 1: and it works by spring was Sabby into your room 211 00:10:18,720 --> 00:10:21,480 Speaker 1: was sobby, and which I guess makes sense since horse 212 00:10:21,559 --> 00:10:23,560 Speaker 1: radish up your nose is definitely going to get you 213 00:10:23,600 --> 00:10:25,640 Speaker 1: out of bed. But I kind of think about it 214 00:10:25,679 --> 00:10:28,600 Speaker 1: like this, like, what's worse than your house being on fire. 215 00:10:28,920 --> 00:10:31,040 Speaker 1: It's learning your house is on fire by having was 216 00:10:31,160 --> 00:10:35,400 Speaker 1: sabby spread up your nose. Yeah, it sounds terful. But 217 00:10:35,640 --> 00:10:38,320 Speaker 1: let's get back to the stages because there's only one more. Okay, 218 00:10:38,360 --> 00:10:41,559 Speaker 1: sorry about for the for the interruption. So we've gone 219 00:10:41,600 --> 00:10:43,840 Speaker 1: over the first four where your brain waves have gradually 220 00:10:43,840 --> 00:10:47,240 Speaker 1: slowed down, your body temperature has dropped, and you've gradually 221 00:10:47,320 --> 00:10:50,360 Speaker 1: become a mobile. You're in this deep sleep. So those 222 00:10:50,400 --> 00:10:54,000 Speaker 1: four stages of occupy about eighty percent of your sleep time. 223 00:10:54,440 --> 00:10:56,600 Speaker 1: But then we moved into the fifth stage, which is 224 00:10:56,840 --> 00:10:59,760 Speaker 1: r e M or rapid eye movement, And this is 225 00:10:59,800 --> 00:11:02,840 Speaker 1: where our brains get really going again, and your eyes 226 00:11:02,880 --> 00:11:05,160 Speaker 1: tend to dart around on your eyelids. And that's the 227 00:11:05,200 --> 00:11:08,480 Speaker 1: stage where we really dream, like in a good night's sleep. 228 00:11:08,520 --> 00:11:11,080 Speaker 1: You'd moved through these stages multiple times, right, And that 229 00:11:11,160 --> 00:11:14,240 Speaker 1: immobility part is important. I saw this weird cat study. 230 00:11:16,440 --> 00:11:22,920 Speaker 1: Wait is that more a cat's study. We're a researcher 231 00:11:23,000 --> 00:11:25,480 Speaker 1: named Michael Juve and France made tiny cuts and a 232 00:11:25,559 --> 00:11:28,559 Speaker 1: cat's brain and turned off the part that triggers immobility 233 00:11:28,640 --> 00:11:31,920 Speaker 1: and sleep. So when these cats hit the r EM stage, 234 00:11:32,040 --> 00:11:34,280 Speaker 1: instead of just playing the dreams out in their head, 235 00:11:34,640 --> 00:11:37,800 Speaker 1: they started acting them out in real life. The cats 236 00:11:37,800 --> 00:11:41,360 Speaker 1: started hissing and clawing and arching their bags and jumping 237 00:11:41,360 --> 00:11:44,240 Speaker 1: onto people encounters. You know how I feel about cats, 238 00:11:44,240 --> 00:11:47,000 Speaker 1: So this is terrifying to me. All in a dream state, 239 00:11:47,080 --> 00:11:48,640 Speaker 1: and when they were woken up, they were, you know, 240 00:11:48,800 --> 00:11:51,600 Speaker 1: very cat about it, like no big deal. Yeah, we 241 00:11:51,720 --> 00:11:53,840 Speaker 1: both share that fear of cats. Because I think it's 242 00:11:53,840 --> 00:11:56,160 Speaker 1: because they seem so unpredictable. But the fact that in 243 00:11:56,200 --> 00:11:59,240 Speaker 1: their sleep they're actually dreaming about clawing and attacking you, 244 00:11:59,480 --> 00:12:02,040 Speaker 1: that's yeah, it is crazy. And and you know, sleep 245 00:12:02,040 --> 00:12:04,720 Speaker 1: studies on other animals are just as fascinating. So for 246 00:12:04,880 --> 00:12:07,960 Speaker 1: years we've known that dolphins and whales and birds and 247 00:12:08,080 --> 00:12:11,480 Speaker 1: other animals sleep with only half their brain at a time, 248 00:12:11,559 --> 00:12:14,000 Speaker 1: so the other half can stand guard and look out 249 00:12:14,040 --> 00:12:17,080 Speaker 1: for predators. And in mallard ducks, for example, when they're 250 00:12:17,120 --> 00:12:20,200 Speaker 1: all in a line, the two outermost birds will often 251 00:12:20,200 --> 00:12:23,000 Speaker 1: be the only ones to keep half their brains to 252 00:12:23,080 --> 00:12:25,880 Speaker 1: look out for danger, like they just notice stand guard 253 00:12:25,960 --> 00:12:28,200 Speaker 1: for all the other ducks in the line. It's it's 254 00:12:28,240 --> 00:12:31,040 Speaker 1: crazy and I'm fascinating. But the weirdest thing is that 255 00:12:31,120 --> 00:12:34,480 Speaker 1: previously we didn't think humans did this, but it turns 256 00:12:34,520 --> 00:12:37,360 Speaker 1: out we do. There's this thing called first night effect, 257 00:12:37,400 --> 00:12:40,240 Speaker 1: which happens when we stay in a new place, our 258 00:12:40,280 --> 00:12:43,000 Speaker 1: brains revert to their animal instincts and they go into 259 00:12:43,000 --> 00:12:45,760 Speaker 1: survival mode to make sure nothing fishy is going on. 260 00:12:46,280 --> 00:12:49,600 Speaker 1: So instead of sleeping restfully, your brain takes turns, allowing 261 00:12:49,679 --> 00:12:51,840 Speaker 1: one half of your brain to sleep while the other 262 00:12:51,880 --> 00:12:54,640 Speaker 1: half of your brain stays more aware of its surroundings. 263 00:12:54,920 --> 00:12:56,680 Speaker 1: It's why you don't get a great night's sleep in 264 00:12:56,720 --> 00:12:59,200 Speaker 1: your first night, or a hotel or somewhere else new 265 00:12:59,360 --> 00:13:03,000 Speaker 1: So and strangely, the effect is almost completely gone by 266 00:13:03,120 --> 00:13:06,280 Speaker 1: night too. But before we get back to whether or 267 00:13:06,320 --> 00:13:08,320 Speaker 1: not humans will ever be able to go without sleep, 268 00:13:08,360 --> 00:13:17,559 Speaker 1: why don't we take a quick break for a quiz. Okay, 269 00:13:17,600 --> 00:13:18,839 Speaker 1: man goes, So, who do we have on the line 270 00:13:18,880 --> 00:13:20,960 Speaker 1: to play with us today? Today? We've got two part 271 00:13:21,000 --> 00:13:25,000 Speaker 1: time Zoomba instructors on the line, Stacy and Zoomba. This 272 00:13:25,080 --> 00:13:27,520 Speaker 1: is exciting, super exciting. When we put out a call 273 00:13:27,600 --> 00:13:30,120 Speaker 1: for Zoomba instructors, we didn't know what to expect. But 274 00:13:30,360 --> 00:13:32,880 Speaker 1: we've got two really good ones on the line. So 275 00:13:33,160 --> 00:13:36,320 Speaker 1: our first one works in corporate communications by day and 276 00:13:36,360 --> 00:13:39,480 Speaker 1: as a Zoomba instructor at night. Gathongeli, welcome to part 277 00:13:39,480 --> 00:13:42,520 Speaker 1: time Genius. Thank you. And our other one is a 278 00:13:42,600 --> 00:13:46,000 Speaker 1: voiceover actor by day and a Zoomba instructor at night. 279 00:13:46,120 --> 00:13:50,640 Speaker 1: So Stacy, welcome to part time Genius. Hi. So you 280 00:13:50,679 --> 00:13:52,600 Speaker 1: know what I have to ask you guys, just to 281 00:13:52,600 --> 00:13:55,480 Speaker 1: to get a better understanding of what Zoomba is I 282 00:13:55,520 --> 00:13:58,480 Speaker 1: have to confess I've never been to a zoomba class. 283 00:13:58,880 --> 00:14:01,120 Speaker 1: I think I'm planning to go. You guys are nice 284 00:14:01,200 --> 00:14:03,200 Speaker 1: enough to tell us we should come by one of 285 00:14:03,240 --> 00:14:06,160 Speaker 1: yours at some point. But Gathangela, let's start with you 286 00:14:06,480 --> 00:14:10,560 Speaker 1: explain to us the difference between zoomba and just say, 287 00:14:10,760 --> 00:14:14,720 Speaker 1: regular aerobics. With regular aerobics you kind of break down everything, 288 00:14:14,760 --> 00:14:18,839 Speaker 1: but with zumba you just google go and um. It's 289 00:14:18,880 --> 00:14:21,280 Speaker 1: similar that it's in the sense that it's a dance 290 00:14:21,360 --> 00:14:25,360 Speaker 1: audio format. Um, but it has all sorts of world dance. 291 00:14:25,400 --> 00:14:27,240 Speaker 1: The emphasis is that you do a little bit of 292 00:14:27,320 --> 00:14:31,200 Speaker 1: Latin American, little African, a little Indian Bollywood, and so 293 00:14:31,320 --> 00:14:34,360 Speaker 1: you get a little taste of the world while you 294 00:14:34,440 --> 00:14:37,920 Speaker 1: dance and have fun. And uh and Stacy, you mentioned 295 00:14:37,920 --> 00:14:40,760 Speaker 1: you have a background in ballroom dance and Chinese opera. 296 00:14:40,840 --> 00:14:45,080 Speaker 1: Is that required to go to a zoomba class. Yeah, okay, no, no, 297 00:14:45,160 --> 00:14:47,160 Speaker 1: I mean you don't need to have any sort of 298 00:14:47,240 --> 00:14:50,920 Speaker 1: dance backgrounds at all. Um. I think it's just influences 299 00:14:51,080 --> 00:14:53,960 Speaker 1: my own classes, because you know, I just noticed, I'll 300 00:14:54,200 --> 00:14:57,080 Speaker 1: I'll throw in some elements sometimes even I'm not even 301 00:14:57,120 --> 00:14:59,240 Speaker 1: conscious of the fact that I that they're in there, 302 00:14:59,360 --> 00:15:01,720 Speaker 1: you know, but since actually I hold my arms or 303 00:15:01,760 --> 00:15:04,760 Speaker 1: maybe Wally I use my hands are inspired by ball 304 00:15:04,880 --> 00:15:09,120 Speaker 1: room or by Chinese opera. Um, but you know what 305 00:15:09,160 --> 00:15:11,680 Speaker 1: I love about seeing that is I the honest truth 306 00:15:11,760 --> 00:15:17,000 Speaker 1: is I actually hate exercising. I'm in a zoom but class, 307 00:15:17,240 --> 00:15:20,800 Speaker 1: I just feel like I'm at a party, and hopefully 308 00:15:20,840 --> 00:15:23,000 Speaker 1: that's what my classes are like too. I just feel 309 00:15:23,040 --> 00:15:25,840 Speaker 1: like we're at a party. We're dancing, we're having fun, 310 00:15:26,120 --> 00:15:28,640 Speaker 1: and I didn't even care that they're sweat all over 311 00:15:28,680 --> 00:15:31,560 Speaker 1: the floor and that, you know, my hair is wet 312 00:15:31,600 --> 00:15:33,600 Speaker 1: all the way down to the end, you know, But 313 00:15:34,520 --> 00:15:37,000 Speaker 1: we're just having so much fun. That's awesome. That's kind 314 00:15:37,000 --> 00:15:38,920 Speaker 1: of the way we feel about podcasting. We're always so 315 00:15:38,960 --> 00:15:44,760 Speaker 1: sweaty and just like, but it's it's worth it, alright. 316 00:15:44,840 --> 00:15:47,880 Speaker 1: So we are playing a game today. What's it called 317 00:15:48,320 --> 00:15:52,400 Speaker 1: nonsensical Sleep rhymes. Nonsensical sleep rhymes, So this is a 318 00:15:52,600 --> 00:15:57,080 Speaker 1: pretty dumb actually really. We invented this based on the 319 00:15:57,120 --> 00:16:01,000 Speaker 1: phrase you snooze you lose. So every answer starts you 320 00:16:01,160 --> 00:16:04,960 Speaker 1: snooze you blank, and the blank is some rhyming word. 321 00:16:05,000 --> 00:16:07,600 Speaker 1: It rhymes with loose and snooze. So if we were 322 00:16:07,600 --> 00:16:09,880 Speaker 1: to give you the clue what happens if you drink 323 00:16:09,960 --> 00:16:14,760 Speaker 1: Martini's in your sleep, you'd say you snooze, you booze, right, 324 00:16:15,200 --> 00:16:18,560 Speaker 1: So every answer is going to be exactly that moronic. 325 00:16:18,680 --> 00:16:21,200 Speaker 1: And what are we playing for here? Though? Today? Mango, 326 00:16:21,600 --> 00:16:24,080 Speaker 1: you're playing for the big prize. Whoever wins will get 327 00:16:24,080 --> 00:16:26,960 Speaker 1: a hand written note from us to your mom or 328 00:16:27,040 --> 00:16:30,800 Speaker 1: your boss. It's your choice. But actually we're gonna put 329 00:16:30,800 --> 00:16:32,480 Speaker 1: them on the same team today, you know, so they 330 00:16:32,520 --> 00:16:34,720 Speaker 1: both get this opportunity. We're gonna put you on the 331 00:16:34,760 --> 00:16:37,440 Speaker 1: same team. And let's see how this goes. You guys, 332 00:16:37,480 --> 00:16:43,640 Speaker 1: ready to play? You snooze, you lose, all right? So Gothogeli, 333 00:16:43,640 --> 00:16:46,120 Speaker 1: we're gonna start with you. If you have any problems, though, 334 00:16:46,120 --> 00:16:47,640 Speaker 1: we're going to throw it to Stacy and then we're 335 00:16:47,640 --> 00:16:49,720 Speaker 1: gonna go back and forth. And our goal is for 336 00:16:49,800 --> 00:16:52,440 Speaker 1: you guys to get all nine of these correct. Let's 337 00:16:52,440 --> 00:16:55,480 Speaker 1: go quickly, you're ready, Here we go. What happens when 338 00:16:55,520 --> 00:17:03,520 Speaker 1: you communicate with cows when you're sleeping? Yes, well done, alright, Stacy? 339 00:17:03,640 --> 00:17:06,880 Speaker 1: What happens when you board a carnival ship when you're sleeping? 340 00:17:07,920 --> 00:17:12,199 Speaker 1: You snooze you crew well, Gothongeli. What happens when you 341 00:17:12,240 --> 00:17:15,639 Speaker 1: put pantine in your hair when you're sleeping? You snooze? 342 00:17:15,680 --> 00:17:18,879 Speaker 1: You shampoo. I love how you can hear it in 343 00:17:18,960 --> 00:17:21,960 Speaker 1: her voice that she's like, is the quiz really this done? 344 00:17:22,119 --> 00:17:27,439 Speaker 1: But it is? Snooze your shampoos? Right, alright, Stacy? What 345 00:17:27,520 --> 00:17:30,520 Speaker 1: happens when you have anemia and you bump into things 346 00:17:30,680 --> 00:17:34,760 Speaker 1: in your sleep? You snooze? Man, You guys are so 347 00:17:34,800 --> 00:17:37,400 Speaker 1: good at this. Four out of four so far? Alright, Gothongeli. 348 00:17:37,480 --> 00:17:40,160 Speaker 1: What happens when you start attaching things with a bottle 349 00:17:40,200 --> 00:17:46,200 Speaker 1: of Elmer's in your sleep? You snooze? You glue with confidence? 350 00:17:46,240 --> 00:17:49,840 Speaker 1: She's bought in. Alright, alright, Stacy? What happens when you 351 00:17:49,880 --> 00:17:55,280 Speaker 1: sneeze in your sleep? Like you? Oh no, I'm blanking 352 00:17:56,080 --> 00:17:59,760 Speaker 1: you sneeze, you snooze you? What sound do you make 353 00:17:59,760 --> 00:18:07,840 Speaker 1: when you sneeze? Aha? It's well, it's not as you snooze. Yes, 354 00:18:13,440 --> 00:18:16,520 Speaker 1: that's it, you got it, You got it right? All right, 355 00:18:16,560 --> 00:18:18,760 Speaker 1: we're coming back to you, Juli. Here goes. What happens 356 00:18:18,760 --> 00:18:22,200 Speaker 1: when you play a buzzing kids instrument in your sleep? 357 00:18:23,800 --> 00:18:29,880 Speaker 1: You snooze? You? What is that it's a really simple 358 00:18:29,920 --> 00:18:33,840 Speaker 1: instrument you put to your mouth and sounds. You got it. 359 00:18:34,000 --> 00:18:38,000 Speaker 1: You snooze you kazoos. Right, this is the dumbest quizz 360 00:18:38,200 --> 00:18:40,000 Speaker 1: Every time we do a quiz, I'm like, they can't 361 00:18:40,000 --> 00:18:43,199 Speaker 1: get any dumber, and this may be the dumbest we do. 362 00:18:43,280 --> 00:18:46,400 Speaker 1: We do all right, Stacy number eight, What happens when 363 00:18:46,440 --> 00:18:51,000 Speaker 1: you construct an Inuit shelter in your sleep? Sneeze you iglue? 364 00:18:51,400 --> 00:18:55,240 Speaker 1: Well done? All right, to bring it all home. Let's 365 00:18:55,240 --> 00:18:58,119 Speaker 1: see you guys can Well, we'll let Gethanoli answer this one. 366 00:18:58,200 --> 00:19:01,040 Speaker 1: What happens when you dine with pand is in your sleep? 367 00:19:01,960 --> 00:19:05,680 Speaker 1: Thank goodness, I think about what they might munch on. 368 00:19:06,560 --> 00:19:13,040 Speaker 1: Oh you knew you bamboo? Yes, it was really dumb. 369 00:19:13,200 --> 00:19:16,840 Speaker 1: That's right. Our hands are going to be pretty tired 370 00:19:16,840 --> 00:19:19,600 Speaker 1: from writing these notes. This is great. Well yeah, well 371 00:19:19,640 --> 00:19:21,600 Speaker 1: we're not only sending them home with notes, We're also 372 00:19:21,680 --> 00:19:23,760 Speaker 1: going to be mailing them a canned which which is 373 00:19:23,800 --> 00:19:25,760 Speaker 1: the number one peanut butter and jelly and a can 374 00:19:25,840 --> 00:19:30,399 Speaker 1: on the market sandwiches and things that are stored in 375 00:19:30,440 --> 00:19:34,560 Speaker 1: pop top containers. You loved canned which are they one 376 00:19:34,600 --> 00:19:40,240 Speaker 1: of the sponsors. That's awesome, Well, we will have to 377 00:19:40,320 --> 00:19:42,480 Speaker 1: check out a zoomba class. You guys have us sold 378 00:19:42,520 --> 00:19:44,919 Speaker 1: on this. Cathogeli and Stacy, thank you so much for 379 00:19:44,960 --> 00:19:58,080 Speaker 1: joining us on part time Genius. So, as we discussed 380 00:19:58,080 --> 00:20:00,920 Speaker 1: before the break, I hate sleeping. I don't know why 381 00:20:00,960 --> 00:20:03,280 Speaker 1: we have to do it. It feels extravagant and lazy, 382 00:20:03,640 --> 00:20:06,480 Speaker 1: perfect waste of time. So convince me, mango, why do 383 00:20:06,520 --> 00:20:09,400 Speaker 1: we need sleep? Well, it sounds like a tall order, 384 00:20:09,480 --> 00:20:11,800 Speaker 1: but the first thing is that our brains are using 385 00:20:11,840 --> 00:20:15,200 Speaker 1: it for some major memory consolidation. Like just think about 386 00:20:15,200 --> 00:20:17,679 Speaker 1: all the things that happened during a single day. Every 387 00:20:17,680 --> 00:20:20,399 Speaker 1: time your brain learned something, which is pretty much every 388 00:20:20,440 --> 00:20:24,439 Speaker 1: waking second, the connections between your neurons are strengthened and 389 00:20:24,520 --> 00:20:26,840 Speaker 1: new connections are created. But if you stop and think 390 00:20:26,880 --> 00:20:29,280 Speaker 1: about how many short term memories your brain is creating 391 00:20:29,280 --> 00:20:31,720 Speaker 1: and I don't know, like a twelve or fourteen hour period, 392 00:20:32,040 --> 00:20:35,240 Speaker 1: it's staggering. So our brain needs a way to sit 393 00:20:35,320 --> 00:20:38,200 Speaker 1: through all that information and file away the important learnings. 394 00:20:38,720 --> 00:20:41,240 Speaker 1: And they're all these experiments that confirmed this, Like there 395 00:20:41,320 --> 00:20:44,080 Speaker 1: was this Harvard study where kids were trained to catch 396 00:20:44,080 --> 00:20:46,199 Speaker 1: a ball in a cone, like over the course of 397 00:20:46,240 --> 00:20:48,119 Speaker 1: a half hour the kids got better at it, and 398 00:20:48,160 --> 00:20:52,080 Speaker 1: their technique improved from let's say about But then the 399 00:20:52,080 --> 00:20:54,399 Speaker 1: group was split into two sets, and one of the 400 00:20:54,440 --> 00:20:57,679 Speaker 1: group's got great sleep and their ability to catch the 401 00:20:57,680 --> 00:21:01,840 Speaker 1: ball jumped up to But the other group, which I 402 00:21:01,840 --> 00:21:04,720 Speaker 1: guess was just pestered through the nine or allowed to 403 00:21:04,760 --> 00:21:07,080 Speaker 1: stay up and watch movies or something, they got poor 404 00:21:07,160 --> 00:21:10,800 Speaker 1: sleep and their rate dropped to below, which is worse 405 00:21:10,840 --> 00:21:13,720 Speaker 1: than where they started from. And that's because their brains 406 00:21:13,760 --> 00:21:18,120 Speaker 1: didn't have time to reprocess that information. And actually, there's 407 00:21:18,119 --> 00:21:22,239 Speaker 1: a rat study study. There are a lot of cat 408 00:21:22,359 --> 00:21:24,840 Speaker 1: and rats studies, so get used to it, listeners. But 409 00:21:25,040 --> 00:21:27,880 Speaker 1: in trying to understand sleep, listeners looked at how clusters 410 00:21:27,920 --> 00:21:30,800 Speaker 1: of neurons worked in rat brains. And the same neurons 411 00:21:30,840 --> 00:21:32,720 Speaker 1: that lit up when a rat was awake and learning 412 00:21:32,760 --> 00:21:35,800 Speaker 1: a new task, those lit up again at night. It's 413 00:21:35,800 --> 00:21:38,680 Speaker 1: like they were replaying these learnings over and over, which 414 00:21:38,720 --> 00:21:41,320 Speaker 1: is which is fascinating. But the thing is those clusters 415 00:21:41,320 --> 00:21:43,840 Speaker 1: were lighting up super fast in their dreams. So let's 416 00:21:43,840 --> 00:21:45,960 Speaker 1: say it took the rats a couple of seconds to 417 00:21:46,000 --> 00:21:48,560 Speaker 1: walk over and pick up a piece of food in 418 00:21:48,600 --> 00:21:51,720 Speaker 1: their sleep, that same brain activity would only take a 419 00:21:51,800 --> 00:21:54,760 Speaker 1: fraction of a second. It's like, because your brain isn't 420 00:21:54,840 --> 00:21:58,400 Speaker 1: juggling between all the distractions of when you're awake, it's 421 00:21:58,440 --> 00:22:01,639 Speaker 1: able to process these things that much faster, and in 422 00:22:01,800 --> 00:22:05,720 Speaker 1: replaying these events, it turns your important memories into long 423 00:22:05,840 --> 00:22:08,840 Speaker 1: term ones. You say, important memories like getting food is 424 00:22:08,880 --> 00:22:11,080 Speaker 1: a really memorable one for a rat is one? Are 425 00:22:11,119 --> 00:22:13,520 Speaker 1: the unimportant ones? Well, that's a good question. If there's 426 00:22:13,560 --> 00:22:16,119 Speaker 1: so many little things we don't really need to commit 427 00:22:16,200 --> 00:22:18,840 Speaker 1: to long term memory, like you were saying, the millions 428 00:22:18,880 --> 00:22:21,520 Speaker 1: of things that happen in any given day, right, and 429 00:22:21,560 --> 00:22:23,520 Speaker 1: we know that it would be too taxing for our 430 00:22:23,520 --> 00:22:26,440 Speaker 1: brain to hold onto everything. So our brains are really 431 00:22:26,480 --> 00:22:29,119 Speaker 1: good at cleaning themselves out at night and purging the 432 00:22:29,160 --> 00:22:32,520 Speaker 1: insignificant ones. There's a team of researchers from the University 433 00:22:32,520 --> 00:22:36,159 Speaker 1: of Wisconsin Madison that recently found that our brains actually 434 00:22:36,320 --> 00:22:39,720 Speaker 1: shrink during sleep. Is this unbelievable that the number and 435 00:22:39,840 --> 00:22:43,440 Speaker 1: size of our brains synapsies shrink by as much as 436 00:22:43,840 --> 00:22:48,520 Speaker 1: in the mice that they looked at. No, these were 437 00:22:48,560 --> 00:22:50,679 Speaker 1: not rats, they were mice. But this is how our 438 00:22:50,720 --> 00:22:53,800 Speaker 1: brains deal with all the information we've learned in a day, 439 00:22:53,880 --> 00:22:55,919 Speaker 1: which allows us to wake up and start fresh the 440 00:22:56,000 --> 00:22:58,040 Speaker 1: next day. You know, this makes me think of those 441 00:22:58,040 --> 00:23:00,520 Speaker 1: people with insane super memories, you know, the people who 442 00:23:00,520 --> 00:23:03,240 Speaker 1: remember every single detail in their lives, and I wonder 443 00:23:03,240 --> 00:23:05,800 Speaker 1: if that's actually related to a sleep disorder. Yeah, it 444 00:23:05,800 --> 00:23:08,159 Speaker 1: would be complete torture to have this happened. I know 445 00:23:08,200 --> 00:23:10,639 Speaker 1: there are people like this. Fortunately, I could barely remember 446 00:23:10,640 --> 00:23:12,560 Speaker 1: each time I get a snack from the snack basket, 447 00:23:12,600 --> 00:23:14,760 Speaker 1: which I don't know. Maybe it's unfortunate because maybe it 448 00:23:14,800 --> 00:23:17,320 Speaker 1: explains the seven granola bar rappers sitting right beside me. 449 00:23:25,440 --> 00:23:27,120 Speaker 1: So we've heard for years now that it's a bad 450 00:23:27,160 --> 00:23:29,760 Speaker 1: idea to spend time reading our phones and e book 451 00:23:29,800 --> 00:23:33,480 Speaker 1: devices just before bed. I'll admit I'm terrible about this, 452 00:23:33,680 --> 00:23:35,800 Speaker 1: not just before bed, but in the middle of the night. 453 00:23:36,280 --> 00:23:38,360 Speaker 1: If I wake up whenever it is, I'll roll over, 454 00:23:38,480 --> 00:23:42,360 Speaker 1: grab my phone, check email, read little news because apparently 455 00:23:42,359 --> 00:23:43,800 Speaker 1: I need to know what's going on in Agia while 456 00:23:43,840 --> 00:23:46,479 Speaker 1: we sleep. I don't know, but this is really not 457 00:23:46,560 --> 00:23:48,720 Speaker 1: good for my sleep, is it. Yeah? I'm I'm pretty 458 00:23:48,760 --> 00:23:50,520 Speaker 1: bad about this too. And it all comes back to 459 00:23:50,560 --> 00:23:54,200 Speaker 1: our circadian clocks, like as humans were. Obviously, wired to 460 00:23:54,240 --> 00:23:57,000 Speaker 1: get sleepy after the sun goes down and wake up 461 00:23:57,040 --> 00:23:59,480 Speaker 1: when the sun comes up. But if we're exposed to 462 00:23:59,480 --> 00:24:01,960 Speaker 1: too much blue light in the evening, that can delay 463 00:24:02,000 --> 00:24:04,640 Speaker 1: the release of our melotone and throw off our clocks. 464 00:24:05,119 --> 00:24:07,840 Speaker 1: And speaking of circadian rhythms, I have to tell you 465 00:24:07,880 --> 00:24:10,840 Speaker 1: this thing I've read about Monday night football. Apparently, when 466 00:24:10,880 --> 00:24:13,280 Speaker 1: East Coast teams play on the West Coast, they have 467 00:24:13,320 --> 00:24:15,879 Speaker 1: a massive disadvantage because the West Coast teams are just 468 00:24:15,920 --> 00:24:19,880 Speaker 1: more awake. And when researchers from Stanford and Harvard analyze 469 00:24:19,880 --> 00:24:22,000 Speaker 1: the numbers from forty years of these games, they found 470 00:24:22,040 --> 00:24:25,240 Speaker 1: that the West Coast teams overperformed by like two touchdowns 471 00:24:25,760 --> 00:24:28,679 Speaker 1: and often beat the spread from Vegas by seven points. 472 00:24:28,920 --> 00:24:31,200 Speaker 1: That's crazy. You know, if you ever get access to 473 00:24:31,240 --> 00:24:33,760 Speaker 1: a time machine, you should go back and West Coast 474 00:24:33,760 --> 00:24:36,320 Speaker 1: teams all right, So where were we? Cell phones? That's right? 475 00:24:36,359 --> 00:24:38,760 Speaker 1: So so several studies have shown that reading on a 476 00:24:38,840 --> 00:24:41,360 Speaker 1: light emitting device causes people to take longer to fall 477 00:24:41,400 --> 00:24:44,640 Speaker 1: asleep versus just reading on a good old fashioned paperback, right, 478 00:24:45,160 --> 00:24:47,280 Speaker 1: and it tends to cause you to spend less time 479 00:24:47,359 --> 00:24:49,879 Speaker 1: in R E. M. Sleep. But the weirdest part to 480 00:24:49,960 --> 00:24:52,359 Speaker 1: me was that even after a good night's rest, like 481 00:24:52,440 --> 00:24:55,480 Speaker 1: say eight or nine hours of uninterrupted sleep, those who 482 00:24:55,520 --> 00:24:59,040 Speaker 1: read on devices woke up sleep here. I did finally 483 00:24:59,119 --> 00:25:01,400 Speaker 1: change my phone to the night shift setting, I kind 484 00:25:01,400 --> 00:25:02,960 Speaker 1: of just because I like saying my phone is in 485 00:25:03,000 --> 00:25:06,639 Speaker 1: the night shift. It really does. So it adjust to 486 00:25:06,680 --> 00:25:09,280 Speaker 1: the warmer end of the spectrum and stays that way 487 00:25:09,280 --> 00:25:11,680 Speaker 1: through the night. So I'm still game in case there's 488 00:25:11,680 --> 00:25:14,480 Speaker 1: a good news story from Asia three am. So, but 489 00:25:14,560 --> 00:25:17,600 Speaker 1: let's talk about something else that supposedly affects people sleep, 490 00:25:17,640 --> 00:25:20,280 Speaker 1: and that's food. I feel like we're scientists because in 491 00:25:20,320 --> 00:25:23,640 Speaker 1: our own studies we found that sometimes people don't sleep 492 00:25:23,680 --> 00:25:25,440 Speaker 1: well after they eight I don't know, say they all 493 00:25:25,480 --> 00:25:28,760 Speaker 1: star breakfast from waffle house at midnight. And that effect 494 00:25:28,800 --> 00:25:31,040 Speaker 1: seems to be more profound on thirty eight year old 495 00:25:31,040 --> 00:25:33,639 Speaker 1: bodies than it was on twenty year old Definitely, definitely, 496 00:25:33,720 --> 00:25:35,520 Speaker 1: But our studies show that it was totally worth a 497 00:25:35,560 --> 00:25:38,520 Speaker 1: three am discomfort, even if our participants, being us, may 498 00:25:38,520 --> 00:25:42,040 Speaker 1: not have agreed at three am. Yeah, that's just good science. 499 00:25:42,800 --> 00:25:45,399 Speaker 1: Let's talk about dreams specifically, and this long held belief 500 00:25:45,440 --> 00:25:48,560 Speaker 1: that certain foods make us dream crazier. Dreams. Like. You know, 501 00:25:48,560 --> 00:25:51,240 Speaker 1: what's funny is that I never realized people blame food 502 00:25:51,280 --> 00:25:54,159 Speaker 1: for bad dreams until I started reading Garfield books in 503 00:25:54,200 --> 00:25:58,080 Speaker 1: second grade. It was a real education. Garfield made me 504 00:25:58,080 --> 00:26:02,480 Speaker 1: realize that a people hate money. Definitely, if you eat 505 00:26:02,480 --> 00:26:04,840 Speaker 1: too much lasagna or spicy foods late at night, it 506 00:26:04,880 --> 00:26:08,040 Speaker 1: can give you crazy dreams about I don't know, lasagna. 507 00:26:08,760 --> 00:26:10,720 Speaker 1: You might have been better off studying your science from 508 00:26:10,720 --> 00:26:14,080 Speaker 1: somebody other than Garfield, But you know, anyway, But I'm 509 00:26:14,119 --> 00:26:16,320 Speaker 1: certain there will be listeners who disagree with this. But 510 00:26:16,400 --> 00:26:18,560 Speaker 1: there doesn't seem to be a lot of evidence that 511 00:26:18,760 --> 00:26:22,280 Speaker 1: certain foods cause bizarre or disturbing dreams. At least there 512 00:26:22,280 --> 00:26:25,200 Speaker 1: aren't a lot of studies that show this conclusively. Yeah, 513 00:26:25,280 --> 00:26:27,360 Speaker 1: you know, I'm the worst at this. Like I don't 514 00:26:27,359 --> 00:26:29,399 Speaker 1: really remember most of my dreams, and I don't really 515 00:26:29,440 --> 00:26:32,399 Speaker 1: remember having nightmares as a kid. Isn't that weird? Well, 516 00:26:32,440 --> 00:26:35,920 Speaker 1: maybe your dreams aren't scary because of your diet is cereal. 517 00:26:36,119 --> 00:26:38,840 Speaker 1: So all the cereal does contain the number one thing 518 00:26:38,920 --> 00:26:42,439 Speaker 1: people blame for crazy dreams, and that's dairy. Actually, I 519 00:26:42,440 --> 00:26:45,040 Speaker 1: always thought of it as being spicy foods, But spicy 520 00:26:45,080 --> 00:26:47,479 Speaker 1: foods come in second for most people claiming they have 521 00:26:47,840 --> 00:26:51,159 Speaker 1: crazy dreams because of food. So maybe you're crunchy saracha flakes. 522 00:26:51,200 --> 00:26:54,480 Speaker 1: That's the deal, got to start the day, right, I 523 00:26:54,520 --> 00:26:59,240 Speaker 1: can't even think about two wet scoops of sharracha. But 524 00:26:59,280 --> 00:27:01,359 Speaker 1: don't you wonder why we dream? And and what's the 525 00:27:01,400 --> 00:27:04,359 Speaker 1: evolutionary purpose? While we of course have to mention Freud, 526 00:27:04,480 --> 00:27:06,320 Speaker 1: he thought we'd dream as a way of thinking through 527 00:27:06,320 --> 00:27:09,960 Speaker 1: our subconscious desires. Yeah, and while that might happen, sometimes 528 00:27:10,040 --> 00:27:12,800 Speaker 1: most of the time we're dreaming about real life experiences. 529 00:27:12,840 --> 00:27:14,840 Speaker 1: And so these are the dreams you're not necessarily going 530 00:27:14,880 --> 00:27:17,840 Speaker 1: to remember because they're not all that exciting. But as 531 00:27:17,880 --> 00:27:20,040 Speaker 1: we discussed, they're important because they help you sort through 532 00:27:20,040 --> 00:27:22,760 Speaker 1: your experiences and figure out what's important to take away 533 00:27:22,800 --> 00:27:25,480 Speaker 1: from them. And that's all going in the non r 534 00:27:25,520 --> 00:27:28,439 Speaker 1: e M phase. But those R e M dreams, the 535 00:27:28,520 --> 00:27:30,639 Speaker 1: crazy ones that you're likely to remember, why in the 536 00:27:30,720 --> 00:27:33,639 Speaker 1: world would we need to remember these? Well, even those 537 00:27:33,640 --> 00:27:36,880 Speaker 1: can be useful from an evolutionary perspective, because even though 538 00:27:36,920 --> 00:27:39,720 Speaker 1: they're really strange, they do help us think through all 539 00:27:39,720 --> 00:27:43,399 Speaker 1: the possibilities of dangerous scenarios from this really safe state. 540 00:27:43,920 --> 00:27:46,800 Speaker 1: But they seem real, right, And that's because the brain 541 00:27:46,840 --> 00:27:49,159 Speaker 1: activity in r M sleep is really similar to that 542 00:27:49,240 --> 00:27:51,520 Speaker 1: of an awake brain. Okay, but you remember the dream 543 00:27:51,560 --> 00:27:53,760 Speaker 1: I was telling you about where Michael Stipe and the 544 00:27:53,800 --> 00:27:56,400 Speaker 1: Harlem Globe Trotters and I were deep sea fishing and 545 00:27:56,440 --> 00:27:58,720 Speaker 1: Michael got mad and through a fish at me hit 546 00:27:58,760 --> 00:28:01,280 Speaker 1: me right in the chest. So that was somehow useful, 547 00:28:01,400 --> 00:28:05,000 Speaker 1: super useful. I mean, I don't have answers for you will, 548 00:28:05,080 --> 00:28:06,960 Speaker 1: but I can tell you we're at the part of 549 00:28:07,000 --> 00:28:09,200 Speaker 1: the episode that we want to give out a part 550 00:28:09,240 --> 00:28:12,520 Speaker 1: time genius, right, Yeah, this episode, I thought it would 551 00:28:12,520 --> 00:28:14,359 Speaker 1: be good to give it to someone who literally dreamed 552 00:28:14,400 --> 00:28:17,120 Speaker 1: something genius and the and so Interially I was thinking 553 00:28:17,119 --> 00:28:19,080 Speaker 1: maybe Paul McCartney, who came up with the tune for 554 00:28:19,119 --> 00:28:22,240 Speaker 1: the song Yesterday in a dream. But I thought it 555 00:28:22,320 --> 00:28:24,919 Speaker 1: might be even better if we gave it to Dmitri Mendeleev, 556 00:28:25,320 --> 00:28:28,000 Speaker 1: who came up with the idea for the periodic table 557 00:28:28,080 --> 00:28:30,520 Speaker 1: while snoozing. You know, it's been a while since mendel 558 00:28:30,680 --> 00:28:32,639 Speaker 1: have won an award, so I think that we should 559 00:28:32,800 --> 00:28:36,760 Speaker 1: we should do it. I second that nomination. Congratulations, you 560 00:28:36,800 --> 00:28:40,200 Speaker 1: have won this episode's part time Genius Award. And I 561 00:28:40,240 --> 00:28:42,160 Speaker 1: know we normally like to write a letter to our 562 00:28:42,200 --> 00:28:45,560 Speaker 1: award winners mother or boss or someone else close to them. 563 00:28:45,560 --> 00:28:48,880 Speaker 1: But considering Mendel of his mother, all his bosses, and 564 00:28:49,040 --> 00:28:51,560 Speaker 1: pretty much anyone else he would have known, would be dead. Now, 565 00:28:52,280 --> 00:28:54,880 Speaker 1: why don't you just say, in his honor, will write 566 00:28:54,880 --> 00:28:57,280 Speaker 1: a note to the American Chemical Society saying, keep up 567 00:28:57,280 --> 00:29:07,760 Speaker 1: the good work, brilliant. Our guest today is someone we've 568 00:29:07,800 --> 00:29:10,360 Speaker 1: been crazy excited to have on the show. Her YouTube 569 00:29:10,400 --> 00:29:14,560 Speaker 1: videos are smart, incredibly funny, and so full of failure. 570 00:29:15,080 --> 00:29:18,360 Speaker 1: She describes herself as the breaker of transistors, the mistress 571 00:29:18,400 --> 00:29:21,680 Speaker 1: of malfunction, the mother of terrible inventions, and as being 572 00:29:22,160 --> 00:29:25,800 Speaker 1: really good at building really bad things. So, Simone, Yah, 573 00:29:25,920 --> 00:29:30,760 Speaker 1: welcome to Part Time Genius. Thank you we are. It 574 00:29:30,920 --> 00:29:33,560 Speaker 1: was a really nice intro. Yeah, I've been working on 575 00:29:33,600 --> 00:29:36,800 Speaker 1: it for weeks. I'm like, it's good that it's only 576 00:29:36,840 --> 00:29:38,840 Speaker 1: we're doing doing only audio because I think I might 577 00:29:38,880 --> 00:29:44,120 Speaker 1: be blushing. It's like, all flustered. I'm glad you survived, 578 00:29:44,160 --> 00:29:47,200 Speaker 1: So Simone, I have to confess, the first video I 579 00:29:47,280 --> 00:29:50,680 Speaker 1: ever saw of yours was the Wake Up Machine, and 580 00:29:50,720 --> 00:29:53,320 Speaker 1: I could not stop laughing at this there was there 581 00:29:53,440 --> 00:29:56,440 Speaker 1: was something about seeing someone awakened so rudely by a 582 00:29:56,560 --> 00:29:59,320 Speaker 1: rubber hands spinning around and slapping them on the face 583 00:29:59,360 --> 00:30:01,680 Speaker 1: that was just so funny to me. So for our 584 00:30:01,720 --> 00:30:04,000 Speaker 1: listeners who have not yet been so lucky as to 585 00:30:04,040 --> 00:30:06,840 Speaker 1: see any of your inventions, can you give just a 586 00:30:06,920 --> 00:30:10,200 Speaker 1: quick overview of what it is that you do. I 587 00:30:11,000 --> 00:30:13,800 Speaker 1: it's it's hard to pitch, or it's like I feel 588 00:30:13,800 --> 00:30:16,040 Speaker 1: like whenever I'm in a lift or in a taxi 589 00:30:16,120 --> 00:30:18,239 Speaker 1: and they ask what I do, I'm like, how do 590 00:30:18,320 --> 00:30:22,480 Speaker 1: I explain this? Basically, I build useless machines like it's 591 00:30:22,520 --> 00:30:26,560 Speaker 1: some sort of robot comedy or like inineering comedy, I'd say, 592 00:30:26,680 --> 00:30:30,880 Speaker 1: but I make the different weird eugenes that hurt me, 593 00:30:31,120 --> 00:30:33,640 Speaker 1: usually in different kinds of ways, or like poor milk 594 00:30:33,680 --> 00:30:37,160 Speaker 1: and cereals everywhere, and I post them on YouTube right right, 595 00:30:37,720 --> 00:30:39,760 Speaker 1: And it was it was your toothbrush helmet that helped 596 00:30:39,800 --> 00:30:43,240 Speaker 1: you kind of get the start in this useless robot direction. 597 00:30:43,320 --> 00:30:46,520 Speaker 1: Is that right? Yeah? So I did a scapeward helmet 598 00:30:46,600 --> 00:30:48,560 Speaker 1: that has a little robot arm on the front of it, 599 00:30:48,640 --> 00:30:50,880 Speaker 1: like a unicorn, and a little cheese brush attached to 600 00:30:50,960 --> 00:30:53,040 Speaker 1: it and it brushes your teeth. Yeah, that was the 601 00:30:53,040 --> 00:30:56,120 Speaker 1: first one that I posted online and it went like 602 00:30:56,600 --> 00:31:00,560 Speaker 1: kind of viral. Um. I was like, that's how I 603 00:31:00,640 --> 00:31:04,560 Speaker 1: learned about you. Yeah, it was. But it's funny because 604 00:31:04,560 --> 00:31:08,760 Speaker 1: like now it's it's it's your your bar like higher 605 00:31:08,760 --> 00:31:11,280 Speaker 1: and higher every time. So looking back I did it, 606 00:31:11,360 --> 00:31:13,480 Speaker 1: I was like, it's in a kay project. But back 607 00:31:13,520 --> 00:31:15,640 Speaker 1: then I was like it was I felt like I 608 00:31:15,680 --> 00:31:17,320 Speaker 1: was sitting in front of the computer and there was 609 00:31:17,360 --> 00:31:19,520 Speaker 1: like wind blowing out of the screen because I was 610 00:31:19,560 --> 00:31:24,520 Speaker 1: just like, oh my god, all over it. But yeah, 611 00:31:24,560 --> 00:31:27,200 Speaker 1: that was the first like crappy robot. Can I say 612 00:31:27,360 --> 00:31:30,200 Speaker 1: the robot? You're gonna go for it. We're just we're 613 00:31:30,200 --> 00:31:35,680 Speaker 1: gonna beat most. It was the first. Yeah, let's let's 614 00:31:35,680 --> 00:31:39,600 Speaker 1: beat robot. Then people won't know what it is. So 615 00:31:39,680 --> 00:31:42,800 Speaker 1: we've seen what a serial feeding robot, a lipstick apply 616 00:31:43,000 --> 00:31:46,280 Speaker 1: or a shampoo machine, a little hand robot that wipe 617 00:31:46,320 --> 00:31:49,000 Speaker 1: standardf away, want a butt wiping robot? I mean, there's 618 00:31:49,000 --> 00:31:53,760 Speaker 1: just so many horrible and lovely invention, so many hands. Yeah, 619 00:31:54,040 --> 00:31:57,040 Speaker 1: So these robots that you build, once they're in a video, 620 00:31:57,200 --> 00:31:59,760 Speaker 1: do you end up keeping these all somewhere? Do you 621 00:31:59,840 --> 00:32:03,600 Speaker 1: end up dismantling them. I try to not dismantle them. 622 00:32:03,640 --> 00:32:05,520 Speaker 1: I used to do that all the time because it's 623 00:32:05,520 --> 00:32:08,400 Speaker 1: so compting to just like borrow parts. But I travel 624 00:32:08,440 --> 00:32:09,840 Speaker 1: a lot with them, and I bring them on to 625 00:32:09,920 --> 00:32:11,960 Speaker 1: different shows and events and stuff like that, so I 626 00:32:12,040 --> 00:32:14,240 Speaker 1: try and keep them. Most of them are in pretty 627 00:32:14,320 --> 00:32:16,640 Speaker 1: rough shape, though, because they've been like thrown in and 628 00:32:16,680 --> 00:32:19,960 Speaker 1: out of a suitcase and they're just like barely working. 629 00:32:20,560 --> 00:32:23,040 Speaker 1: You get questions about them at airports, like why are 630 00:32:23,040 --> 00:32:26,520 Speaker 1: all these hands and in your suitcase? Every time. I 631 00:32:26,560 --> 00:32:28,880 Speaker 1: always wonder that. I mean the same if I'm staying 632 00:32:28,880 --> 00:32:31,320 Speaker 1: in a hotel room and like the bag because I 633 00:32:31,320 --> 00:32:34,800 Speaker 1: have like this big, like Pelican Robots suitcase, and um, 634 00:32:35,040 --> 00:32:37,640 Speaker 1: I was wondering what, like the housekeeper like, what they 635 00:32:37,640 --> 00:32:40,480 Speaker 1: think about it, because it must look like a very 636 00:32:40,520 --> 00:32:44,880 Speaker 1: bizarre thing. Um. But no, they always check it on airports, 637 00:32:45,040 --> 00:32:48,360 Speaker 1: and that's how I recruit new subscribers. Speaking of other 638 00:32:48,560 --> 00:32:51,479 Speaker 1: weird projects that you've taken on, you recently locked yourself 639 00:32:51,520 --> 00:32:54,200 Speaker 1: in a bathroom for forty eight straight hours. Now remind 640 00:32:54,280 --> 00:32:56,720 Speaker 1: us again while you did this, I made my own 641 00:32:56,720 --> 00:32:59,920 Speaker 1: space program because nobody else would have me, so I've 642 00:33:00,000 --> 00:33:02,160 Speaker 1: really want to go to space, but like I'm not 643 00:33:02,280 --> 00:33:05,000 Speaker 1: qualified enough to go with NASA or I don't think 644 00:33:05,000 --> 00:33:07,640 Speaker 1: I'm cool enough to be with SpaceX. So I was like, 645 00:33:08,240 --> 00:33:10,160 Speaker 1: I'll do my own space program and I'll see if 646 00:33:10,520 --> 00:33:12,880 Speaker 1: somebody wants to pick me up. So I did like 647 00:33:12,960 --> 00:33:15,440 Speaker 1: a three episode web series where I did my own 648 00:33:15,480 --> 00:33:17,960 Speaker 1: astronaut training program, and as a part of that, I 649 00:33:18,000 --> 00:33:22,520 Speaker 1: needed to practice like isolation and being in a confined space. 650 00:33:22,640 --> 00:33:25,240 Speaker 1: So I locked myself in my bathroom for forty eight hours. 651 00:33:25,440 --> 00:33:28,320 Speaker 1: I love that. I have to confess that the real 652 00:33:28,400 --> 00:33:30,880 Speaker 1: reason for this interview is in that video that you're 653 00:33:30,880 --> 00:33:33,240 Speaker 1: talking about. You held up a copy of one of 654 00:33:33,280 --> 00:33:36,480 Speaker 1: my favorite kids books in recent years, Dragons Love Tacos. 655 00:33:36,920 --> 00:33:39,360 Speaker 1: Were you being serious about your love of this book? 656 00:33:40,960 --> 00:33:45,000 Speaker 1: It is so funny? So should we play this quiz? Yes, 657 00:33:45,080 --> 00:33:48,360 Speaker 1: let's play a quiz? Alright? So, oh my god, get ready, 658 00:33:48,360 --> 00:33:50,560 Speaker 1: we're gonna throw you off here. So what is it? 659 00:33:50,600 --> 00:33:52,520 Speaker 1: What is it? What are we doing? We're We're gonna 660 00:33:52,520 --> 00:33:55,240 Speaker 1: tell you'll see. So, um, first of all, it's required 661 00:33:55,240 --> 00:33:56,520 Speaker 1: that you're on a house boat or you on a 662 00:33:56,520 --> 00:34:00,600 Speaker 1: house boat right now? Yes, okay, excellent, all right, So 663 00:34:00,760 --> 00:34:03,360 Speaker 1: in Sweden, do you need to get in the water, Yes, 664 00:34:03,520 --> 00:34:05,040 Speaker 1: you do. You need to get in the water for 665 00:34:05,120 --> 00:34:07,320 Speaker 1: this question. No, no, no, you're good. You can stay, 666 00:34:07,400 --> 00:34:12,200 Speaker 1: you can stay, okay, Sweden. Al right, So in Sweden, 667 00:34:12,239 --> 00:34:14,000 Speaker 1: do you count sheep to go to sleep? Or is 668 00:34:14,040 --> 00:34:17,480 Speaker 1: that just an American thing? I think we count sheep? Okay, alright, 669 00:34:17,480 --> 00:34:19,799 Speaker 1: so I don't think I ever did it. Yeah, no, 670 00:34:19,960 --> 00:34:22,759 Speaker 1: that is that's familiar. All right, so good, good deal. 671 00:34:22,800 --> 00:34:25,000 Speaker 1: This is a section where we would normally call it 672 00:34:25,080 --> 00:34:28,400 Speaker 1: true or false sleep addition, but today we're calling it 673 00:34:28,520 --> 00:34:31,239 Speaker 1: sheep or bull sheep. So we're going to read you 674 00:34:31,280 --> 00:34:35,120 Speaker 1: a sense. Okay, okay, We're going to read you a sentence. 675 00:34:35,560 --> 00:34:37,759 Speaker 1: And if you think it's nonsense, all you have to 676 00:34:37,800 --> 00:34:41,160 Speaker 1: do is say bullshep and mango. What is she playing for? Today? 677 00:34:41,360 --> 00:34:45,879 Speaker 1: As always, the celebrity guest is playing for our unadulterated admiration. 678 00:34:46,360 --> 00:34:51,240 Speaker 1: I actually you had my hopes up something. I feel 679 00:34:51,760 --> 00:34:56,080 Speaker 1: the hopes came up and then they crashed down her. Okay, admiration, 680 00:34:56,120 --> 00:34:58,759 Speaker 1: I'll take it. We'll maybe add to that, you know, 681 00:34:59,239 --> 00:35:01,840 Speaker 1: setting up a a date with the authors of Dragons 682 00:35:01,840 --> 00:35:08,360 Speaker 1: Love Tacos. So, oh my god, yeah, okay, I'm game on. 683 00:35:09,880 --> 00:35:12,080 Speaker 1: Here we go sheep or bulls sheep? Here we go 684 00:35:12,200 --> 00:35:17,200 Speaker 1: Question number one. The first Australian ultramarathon runner was a 685 00:35:17,280 --> 00:35:20,360 Speaker 1: sixty one year old shepherd. He won the five hundred 686 00:35:20,400 --> 00:35:23,760 Speaker 1: mile race handily by running through the night and tricking 687 00:35:23,840 --> 00:35:27,680 Speaker 1: himself into believing he was running after his sheep sheep 688 00:35:27,800 --> 00:35:34,960 Speaker 1: or bull sheep? Sheep? Oh my god? Yeah, yeah, I'm 689 00:35:35,040 --> 00:35:38,000 Speaker 1: thinking that it's but if I haven't heard the other ones, 690 00:35:38,040 --> 00:35:40,319 Speaker 1: but I'm thinking that that one's too weird to be 691 00:35:40,400 --> 00:35:42,480 Speaker 1: able to come up with. What was his name? His 692 00:35:42,560 --> 00:35:44,560 Speaker 1: name was Cliff Young, and he was mocked for running 693 00:35:44,560 --> 00:35:48,280 Speaker 1: in boots and shuffling along, but he kept kept running 694 00:35:48,280 --> 00:35:52,279 Speaker 1: while everyone else slept. All right, my hero, Can I 695 00:35:52,280 --> 00:35:55,319 Speaker 1: be friends with him? We can. We're gonna go ahead 696 00:35:55,320 --> 00:36:00,200 Speaker 1: say yes. I have no idea, really sad to really yes. 697 00:36:00,280 --> 00:36:03,720 Speaker 1: But then we'll get your friends. We're just gonna find 698 00:36:03,760 --> 00:36:08,600 Speaker 1: some dude and be like, this is him, he's your friend. Yeah, 699 00:36:08,920 --> 00:36:11,840 Speaker 1: all right, let's see question number two. Sheep or bull sheep. 700 00:36:12,239 --> 00:36:14,760 Speaker 1: There's a sheep from Scotland that lives on the beach 701 00:36:14,840 --> 00:36:18,440 Speaker 1: and has a diet made up almost entirely of seaweed. 702 00:36:19,000 --> 00:36:21,319 Speaker 1: I did. I was in Scotland recently, just a couple 703 00:36:21,360 --> 00:36:23,360 Speaker 1: of weeks ago, and I saw a lot of sheep. 704 00:36:24,160 --> 00:36:28,120 Speaker 1: They were mainly goats on the coast. I'm gonna call 705 00:36:29,160 --> 00:36:33,560 Speaker 1: bull sheep. It was actually a sheep the north. Yeah, 706 00:36:33,640 --> 00:36:36,440 Speaker 1: there's a sheep that lives in Orkney and they're one 707 00:36:36,440 --> 00:36:39,840 Speaker 1: of the only mammals that can survive exclusively on this seafood. 708 00:36:41,920 --> 00:36:45,719 Speaker 1: I thought you meant one sheep. There was a single 709 00:36:45,800 --> 00:36:53,080 Speaker 1: like poor Bernard sheep. That was what I thought, okty sheep, harambe. 710 00:36:54,160 --> 00:36:56,520 Speaker 1: Well we're getting to a celebrity sheep, so question there 711 00:36:56,560 --> 00:37:00,160 Speaker 1: are real Dolly is a Dolly? Got it all right? Oh? 712 00:37:00,560 --> 00:37:03,400 Speaker 1: Here we go. Dolly the sheep was named for Dolly 713 00:37:03,480 --> 00:37:06,480 Speaker 1: Madison because the scientists got the idea for cloning the 714 00:37:06,520 --> 00:37:10,480 Speaker 1: sheep while board on an historic tour of James Madison's 715 00:37:10,520 --> 00:37:15,839 Speaker 1: home at Montpelier. Sheep or bullshep, bull sheep, Yeah, you're right, 716 00:37:16,120 --> 00:37:20,120 Speaker 1: Dolly was named for Dolly Pardon number four. Sheep have 717 00:37:20,200 --> 00:37:23,760 Speaker 1: amazing memories and can remember up to fifty other sheep 718 00:37:23,920 --> 00:37:31,400 Speaker 1: for several years. I mean, they're known for being stupid, 719 00:37:31,600 --> 00:37:34,239 Speaker 1: but at the same time they're like herd animals, or 720 00:37:34,280 --> 00:37:36,800 Speaker 1: I mean they have like their sheep packed or whatever. 721 00:37:36,800 --> 00:37:39,440 Speaker 1: It's called a school of sheep. What's like the count 722 00:37:41,280 --> 00:37:45,560 Speaker 1: pack of sheep a murder of sheep? But I'm going 723 00:37:45,600 --> 00:37:48,800 Speaker 1: to call sheep because I want them too smart. You're right, 724 00:37:48,960 --> 00:37:53,319 Speaker 1: So yeah, they can get drawn off by haircuts. Occasionally 725 00:37:53,960 --> 00:37:57,359 Speaker 1: they can't recognize other sheep. I can relate to that. 726 00:37:59,600 --> 00:38:02,680 Speaker 1: So you went three for four. Great job, Simone introductions. 727 00:38:05,880 --> 00:38:08,640 Speaker 1: So if you've not seen Simone's videos, definitely check them out. 728 00:38:08,680 --> 00:38:12,160 Speaker 1: Because her name has a crazy Swedish pronunciation. Her last 729 00:38:12,239 --> 00:38:14,560 Speaker 1: name is actually spelled g I E r t z, 730 00:38:14,760 --> 00:38:17,760 Speaker 1: but we've included the link in the show description. So Simone, 731 00:38:17,800 --> 00:38:19,520 Speaker 1: thanks so much for joining us today, and thanks for 732 00:38:19,560 --> 00:38:22,279 Speaker 1: putting smiles on so many faces with all of your nonsense. 733 00:38:37,400 --> 00:38:39,840 Speaker 1: I have to say that after all our research and discussion, 734 00:38:39,920 --> 00:38:42,640 Speaker 1: I'm not exactly feeling optimistic that I'll be getting my 735 00:38:42,800 --> 00:38:45,920 Speaker 1: live Asleep Free Life pill anytime. Well in my lifetime. 736 00:38:46,600 --> 00:38:49,080 Speaker 1: I mean, you could fall zacket and have sixty cups 737 00:38:49,080 --> 00:38:51,680 Speaker 1: of coffee a day, or if you don't love that 738 00:38:51,800 --> 00:38:55,160 Speaker 1: caffeine crash, there pills that can keep you up for 739 00:38:55,360 --> 00:38:57,160 Speaker 1: maybe thirty hours at a time without much of a 740 00:38:57,239 --> 00:39:00,760 Speaker 1: drop off. It's funny because armies throughout history have invested 741 00:39:00,800 --> 00:39:04,200 Speaker 1: in this sort of stuff, like the Incas used coca leaves, 742 00:39:04,239 --> 00:39:07,960 Speaker 1: and the Greeks played with opium, and the Nazis used 743 00:39:08,080 --> 00:39:11,120 Speaker 1: meth amphetamines to make their soldiers march for forty miles 744 00:39:11,120 --> 00:39:14,480 Speaker 1: at a clip. But there are always these massive negative 745 00:39:14,520 --> 00:39:17,560 Speaker 1: side effects, right, And even today we're searching for that cure. 746 00:39:18,120 --> 00:39:21,839 Speaker 1: Like there's this drug modaphanel, and some army officers and 747 00:39:21,920 --> 00:39:23,960 Speaker 1: even some presidents have been rumored to take it to 748 00:39:24,000 --> 00:39:27,239 Speaker 1: work longer. And while it's used in the field, supposedly 749 00:39:27,280 --> 00:39:30,440 Speaker 1: it can make you overconfident, and even though you're fully awake, 750 00:39:30,600 --> 00:39:33,160 Speaker 1: you might be more prone to making bad decisions. So 751 00:39:33,200 --> 00:39:36,239 Speaker 1: there's still research to be done. But for the most part, 752 00:39:36,280 --> 00:39:39,520 Speaker 1: you're right. Sleep is still this completely opaque thing. And 753 00:39:39,520 --> 00:39:42,120 Speaker 1: it's strange that while we know that not sleeping will 754 00:39:42,160 --> 00:39:45,120 Speaker 1: eventually kill you, we still don't understand why well, and 755 00:39:45,160 --> 00:39:48,560 Speaker 1: even beyond all the uncertain parts, just recognizing the things, 756 00:39:48,640 --> 00:39:51,680 Speaker 1: we are beginning to understand that sleep appears critical to 757 00:39:51,840 --> 00:39:54,919 Speaker 1: memory consolidation. All the stuff that we were talking about 758 00:39:54,960 --> 00:39:57,880 Speaker 1: before of how we run through these memories, you know, 759 00:39:58,000 --> 00:40:00,480 Speaker 1: so quickly in our brains is just fast and to me, 760 00:40:00,560 --> 00:40:03,160 Speaker 1: and the cleaning out of our brains, and it just 761 00:40:03,280 --> 00:40:06,279 Speaker 1: doesn't seem possible that anything in the coming decades will 762 00:40:06,320 --> 00:40:09,719 Speaker 1: be able to replicate these processes without sleep. I mean, 763 00:40:09,760 --> 00:40:12,239 Speaker 1: as the researchers from the University of Wisconsin study we 764 00:40:12,360 --> 00:40:15,480 Speaker 1: mentioned earlier said, sleep is the price people pay for 765 00:40:15,600 --> 00:40:18,520 Speaker 1: brains that are able to keep learning new things. I mean, 766 00:40:18,560 --> 00:40:21,640 Speaker 1: the brain is just such a crazy, complicated organ. So 767 00:40:21,680 --> 00:40:24,200 Speaker 1: while I'm disappointed that I won't be able to stop 768 00:40:24,560 --> 00:40:28,000 Speaker 1: sleeping anytime soon, I will admit I feel better knowing 769 00:40:28,120 --> 00:40:30,319 Speaker 1: just how much is going on when we're asleep. It 770 00:40:30,320 --> 00:40:32,520 Speaker 1: doesn't feel quite as much like a waste of time. 771 00:40:32,640 --> 00:40:35,360 Speaker 1: I'm so glad this part time Genius therapy session was 772 00:40:35,400 --> 00:40:37,799 Speaker 1: productive and thank you, thank you, But we're not done yet. 773 00:40:37,840 --> 00:40:44,839 Speaker 1: You know what time it is, the fact off, you bet, 774 00:40:44,920 --> 00:40:46,400 Speaker 1: it's that time of the show where we get to 775 00:40:46,400 --> 00:40:48,919 Speaker 1: throw out some of the crazy, fascinating things we learned 776 00:40:48,920 --> 00:40:51,719 Speaker 1: about sleep that we didn't get to mention yet. All right, 777 00:40:51,800 --> 00:40:55,040 Speaker 1: Mango you first, So I know we talked about Keith 778 00:40:55,160 --> 00:40:57,000 Speaker 1: Richards at the top of the show and his self 779 00:40:57,000 --> 00:40:59,840 Speaker 1: reported nine days of staying awake, But the record for 780 00:40:59,880 --> 00:41:03,560 Speaker 1: the longest period without sleep is eleven days even days, 781 00:41:03,680 --> 00:41:06,040 Speaker 1: I know, and it's set by a student in California 782 00:41:06,120 --> 00:41:09,640 Speaker 1: named Randy Gardner way back in nineteen sixty four. And 783 00:41:09,800 --> 00:41:12,520 Speaker 1: what's cool about it is that the local paper mentioned 784 00:41:12,520 --> 00:41:14,560 Speaker 1: he was going to try to set this record, and 785 00:41:14,600 --> 00:41:17,680 Speaker 1: when scientists at Stanford got wind of it, they documented it. 786 00:41:18,040 --> 00:41:20,799 Speaker 1: So there's all this documentation of Randy getting worse and 787 00:41:20,840 --> 00:41:23,560 Speaker 1: worse at math problems as he stayed up, and getting 788 00:41:23,600 --> 00:41:26,480 Speaker 1: increasingly paranoid and getting annoyed by the people who had 789 00:41:26,480 --> 00:41:29,440 Speaker 1: promised to help him stay up to this long. I mean, 790 00:41:29,600 --> 00:41:32,879 Speaker 1: eleven days is a long time. It's an insanely long time, 791 00:41:32,920 --> 00:41:36,600 Speaker 1: I know. And uh, somehow Randy pulled it off. Um 792 00:41:36,680 --> 00:41:38,800 Speaker 1: he was doing it for a science fair project, which 793 00:41:38,880 --> 00:41:41,120 Speaker 1: I don't even know if he won, but that part's 794 00:41:41,120 --> 00:41:43,080 Speaker 1: never mentioned. I love that this kid comes up with 795 00:41:43,120 --> 00:41:45,279 Speaker 1: the idea and rather than people around him being like, 796 00:41:45,400 --> 00:41:47,920 Speaker 1: it's a horrible idea to stay up for eleven days, 797 00:41:48,000 --> 00:41:51,400 Speaker 1: like Stanford people on the paper and everybody like, dude, it, 798 00:41:51,520 --> 00:41:54,279 Speaker 1: let's start do this. Yeah. I'm pretty sure I haven't 799 00:41:54,320 --> 00:41:57,080 Speaker 1: gone that long without a Snicker's bar, much less my sleep. 800 00:41:57,160 --> 00:42:00,000 Speaker 1: So al right, here's a fact. So in Finland they 801 00:42:00,000 --> 00:42:04,320 Speaker 1: celebrate National Sleepy Head Day on July. It's a tradition 802 00:42:04,320 --> 00:42:06,359 Speaker 1: that dates back to the Middle Ages actually, and the 803 00:42:06,400 --> 00:42:09,640 Speaker 1: ideas that the person sleeping the latest that day would 804 00:42:09,680 --> 00:42:12,200 Speaker 1: be the least productive member of the family that year. 805 00:42:12,600 --> 00:42:15,200 Speaker 1: So it was decided that whoever the last sleeper was 806 00:42:15,280 --> 00:42:17,439 Speaker 1: would be woken up by throwing them into a lake 807 00:42:17,560 --> 00:42:20,680 Speaker 1: or a sea, or just by throwing water upon them. 808 00:42:20,719 --> 00:42:23,920 Speaker 1: And it's particularly great because the townsfolk will throw local 809 00:42:23,960 --> 00:42:27,080 Speaker 1: politician into the water and everybody just gets behind it. 810 00:42:27,360 --> 00:42:30,200 Speaker 1: I like it. Um. So you know Doctor Spotted the 811 00:42:30,239 --> 00:42:32,839 Speaker 1: Child Psychologist in one of his early books, he has 812 00:42:32,880 --> 00:42:35,560 Speaker 1: this weird suggestion for making sure your toddler doesn't leave 813 00:42:35,600 --> 00:42:39,600 Speaker 1: their crib and basically advises getting a batman net, cutting 814 00:42:39,640 --> 00:42:42,799 Speaker 1: in half, sewing it so it's twice as tall, and 815 00:42:42,840 --> 00:42:46,760 Speaker 1: then wrapping it around the crib to form a baby cage. Everybody, 816 00:42:47,080 --> 00:42:49,120 Speaker 1: how crazy is that he had the bad ment net 817 00:42:49,160 --> 00:42:51,239 Speaker 1: is the weirdest part, Like why not a tennis net 818 00:42:51,320 --> 00:42:54,040 Speaker 1: or fifteen ping pong nets? So I don't know. All right, 819 00:42:54,040 --> 00:42:56,600 Speaker 1: here's another one. You're less likely to have an accident 820 00:42:56,640 --> 00:42:59,800 Speaker 1: in your car after daylight saving time ends, and evidence 821 00:43:00,040 --> 00:43:02,040 Speaker 1: it's to the extra hour of sleep as being the 822 00:43:02,080 --> 00:43:04,680 Speaker 1: main reason when you're tired your sense of smell shifts 823 00:43:04,680 --> 00:43:08,200 Speaker 1: into high gear, but only for food. So it's actually 824 00:43:08,200 --> 00:43:10,799 Speaker 1: why you can't control yourself around midnight feasts late at night. 825 00:43:10,960 --> 00:43:13,200 Speaker 1: Oh that's good, all right, all right, Well, people who 826 00:43:13,200 --> 00:43:16,160 Speaker 1: grew up with color television tend to dream in color, 827 00:43:16,640 --> 00:43:18,720 Speaker 1: but older people who grew up with black and white 828 00:43:18,719 --> 00:43:21,200 Speaker 1: TVs and movies, they actually are more likely to be 829 00:43:21,280 --> 00:43:25,759 Speaker 1: dreaming in black and white. I'm guessing millennial dreaming gifts exactly. 830 00:43:26,160 --> 00:43:28,279 Speaker 1: So I want to know what sea utters due to 831 00:43:28,280 --> 00:43:30,319 Speaker 1: prevent drifting away from each other when they go to sleep. 832 00:43:30,400 --> 00:43:33,839 Speaker 1: What's that they hold pause? Like sea otters actually hold 833 00:43:33,840 --> 00:43:36,120 Speaker 1: hands when they go to sleep. Come on, Mango, you 834 00:43:36,160 --> 00:43:38,840 Speaker 1: know I can't compete with a cute fact about sea otters. 835 00:43:38,840 --> 00:43:40,480 Speaker 1: And you were just toying with me when you threw 836 00:43:40,520 --> 00:43:45,120 Speaker 1: out that moderately interesting fact about badminton. All right, I'll 837 00:43:45,160 --> 00:43:47,239 Speaker 1: give it to you. Are this episode's winner of the 838 00:43:47,280 --> 00:43:49,920 Speaker 1: part time genius fact off. Thank you so much. I 839 00:43:49,920 --> 00:43:51,600 Speaker 1: have so many people to thank I want to start 840 00:43:51,600 --> 00:43:58,160 Speaker 1: with my agent, Bobby Manuals, my manager, all right the stage. 841 00:43:58,880 --> 00:44:00,719 Speaker 1: Thanks so much for listening to the episode of Part 842 00:44:00,719 --> 00:44:18,160 Speaker 1: Time Genius with Will and Mango Sweet Dreams. Thanks again 843 00:44:18,200 --> 00:44:20,400 Speaker 1: for listening to Part Time Genius. Be sure to subscribe 844 00:44:20,440 --> 00:44:22,600 Speaker 1: wherever you listen to your podcast, And because we're a 845 00:44:22,600 --> 00:44:25,000 Speaker 1: brand new show, if you're feeling extra generous, we'd love 846 00:44:25,040 --> 00:44:26,960 Speaker 1: it if you give us a rating on Apple Podcast. 847 00:44:27,440 --> 00:44:30,160 Speaker 1: Part Time Genius is produced by some of our favorite geniuses. 848 00:44:30,360 --> 00:44:33,120 Speaker 1: It's edited by Tristan McNeil, theme song and audio mixing 849 00:44:33,120 --> 00:44:36,440 Speaker 1: by Noel Brown. Our executive producer is Jerry Rowland. Our 850 00:44:36,440 --> 00:44:39,960 Speaker 1: research team is Gay Bluesier, Lucas Adams, Autumn Whitefield, me Toronto, 851 00:44:40,120 --> 00:44:43,239 Speaker 1: Austin Thompson, and Meg Robbins. Jason Hok is our chief 852 00:44:43,320 --> 00:44:43,799 Speaker 1: cheer leader.