The Peter Attia Drive - June 17, 2019


#58 – AMA with sleep expert, Matthew Walker, Ph.D.: Strategies for sleeping more, sleeping better, and avoiding things that are disrupting sleep


Episode Stats

Length

29 minutes

Words per Minute

192.07118

Word Count

5,591

Sentence Count

337

Hate Speech Sentences

1


Summary

In this episode of The Drive, I talk about why we don't run ads on this podcast, and why we rely entirely on listener support to sustain it. This week's guest is Matthew Walker, host of the popular Ask Me Anything (AMA) podcast.


Transcript

00:00:00.000 Hey everyone, welcome to the Peter Atiyah Drive. I'm your host, Peter Atiyah.
00:00:10.140 The Drive is a result of my hunger for optimizing performance, health, longevity, critical thinking,
00:00:15.600 along with a few other obsessions along the way. I've spent the last several years working with
00:00:19.840 some of the most successful, top-performing individuals in the world, and this podcast
00:00:23.620 is my attempt to synthesize what I've learned along the way to help you live a higher quality,
00:00:28.360 more fulfilling life. If you enjoy this podcast, you can find more information on today's episode
00:00:33.000 and other topics at peteratiyahmd.com.
00:00:41.440 Hey everybody, welcome to this week's episode of The Drive. I'd like to take a couple of minutes
00:00:46.000 to talk about why we don't run ads on this podcast and why instead we've chosen to rely entirely on
00:00:51.660 listener support. If you're listening to this, you probably already know, but the two things I care
00:00:56.460 most about professionally are how to live longer and how to live better. I have a complete fascination
00:01:02.780 and obsession with this topic. I practice it professionally, and I've seen firsthand how
00:01:07.480 access to information is basically all people need to make better decisions and improve the quality of
00:01:12.560 their lives. Curating and sharing this knowledge is not easy, and even before starting the podcast,
00:01:18.200 that became clear to me. The sheer volume of material published in this space is overwhelming.
00:01:22.840 I'm fortunate to have a great team that helps me continue learning and sharing this information
00:01:27.880 with you. To take one example, our show notes are in a league of their own. In fact, we now have a
00:01:33.840 full-time person that is dedicated to producing those, and the feedback has mirrored this. So all of
00:01:39.580 this raises a natural question. How will we continue to fund the work necessary to support this? As you
00:01:45.980 probably know, the tried and true way to do this is to sell ads. But after a lot of contemplation,
00:01:51.100 that model just doesn't feel right to me for a few reasons. Now the first and most important of
00:01:56.300 these is trust. I'm not sure how you could trust me if I'm telling you about something when you know
00:02:02.100 I'm being paid by the company that makes it to tell you about it. Another reason selling ads doesn't
00:02:07.580 feel right to me is because I just know myself. I have a really hard time advocating for something
00:02:12.840 that I'm not absolutely nuts for. So if I don't feel that way about something, I don't know how I can
00:02:18.520 talk about it enthusiastically. So instead of selling ads, I've chosen to do what a handful
00:02:23.280 of others have proved can work over time. And that is to create a subscriber support model for my
00:02:29.320 audience. This keeps my relationship with you both simple and honest. If you value what I'm doing,
00:02:36.260 you can become a member and support us at whatever level works for you. In exchange, you'll get the
00:02:41.840 benefits above and beyond what's available for free. It's that simple. It's my goal to ensure that no
00:02:47.860 matter what level you choose to support us at, you will get back more than you give.
00:02:52.860 So for example, members will receive full access to the exclusive show notes, including other things
00:03:00.380 that we plan to build upon, such as the downloadable transcripts for each episode. These are useful
00:03:06.760 beyond just the podcast, especially given the technical nature of many of our shows. Members also get
00:03:12.900 exclusive access to listen to and participate in the regular ask me anything episodes. That means
00:03:19.860 asking questions directly into the AMA portal and also getting to hear these podcasts when they come
00:03:25.800 out. Lastly, and this is something I'm really excited about. I want my supporters to get the best deals
00:03:31.140 possible on the products that I love. And as I said, we're not taking ad dollars from anyone, but instead
00:03:36.280 what I'd like to do is work with companies who make the products that I already love and would already
00:03:40.900 talk about for free and have them pass savings on to you. Again, the podcast will remain free to all,
00:03:48.700 but my hope is that many of you will find enough value in one, the podcast itself and two, the
00:03:56.440 additional content exclusive for members to support us at a level that makes sense for you. I want to
00:04:01.960 thank you for taking a moment to listen to this. If you learn from and find value in the content I
00:04:06.840 produce, please consider supporting us directly by signing up for a monthly subscription. My guest
00:04:12.360 this week is Matthew Walker. Many of you are familiar with Matthew because in April of this year,
00:04:17.480 we released a three-part series with him. The response to this was overwhelming. In fact,
00:04:23.040 it was among our most popular podcasts to date. And as a result, we decided to do a special AMA
00:04:31.100 with Matthew hosting and me asking the questions on behalf of our subscribers. So what you have here
00:04:37.920 today is what I would describe as three hours of the best Q and a I've ever heard on sleep imaginable.
00:04:47.180 I was super impressed with the questions that came in from people. I couldn't resist, but sprinkling in
00:04:53.360 a few of my own questions and many of my team did the same thing. And we had a hard stop imposed by his
00:04:59.780 flight departure. And that forced us to just be ruthlessly efficient and accomplish a lot. We
00:05:05.720 actually got through about 80% of what I thought would take probably six hours. So as a quick
00:05:13.280 refresher, Matthew is a professor of neuroscience and psychology at Cal Berkeley. He's the founder and
00:05:19.080 director of the Center of Human Sleep Science. He's earned his degree in neuroscience from Nottingham
00:05:24.360 University in the UK, his PhD in London before becoming a professor at Harvard and ultimately moving to
00:05:29.580 Berkeley. You may know him more from being the international bestselling author of the book,
00:05:35.320 Why We Sleep. He has also very recently given a TED talk that was incredibly well received this year at
00:05:41.560 the conference. And we will link to that, of course. As a reminder, of course, AMAs are for subscribers
00:05:46.100 only. So if you're not a subscriber, you'll only be able to listen to a little bit of this episode,
00:05:51.140 but hopefully episodes like this and all of the other AMAs and benefits will at least convince you of the
00:05:56.860 benefits of supporting our work here in an ad-free environment. And you can do that at
00:06:02.260 peteratiamd.com forward slash subscribe. In this episode, we talk about a ton of stuff. So the questions
00:06:10.060 dive in with how do we get the best amount of sleep? How do we specifically go about targeting
00:06:16.800 different stages of sleep? We talk a lot about what it means to create the perfect sleep environment.
00:06:23.060 So if the first episodes that we did with Matt focused a lot on why you want to sleep, we focused
00:06:28.860 much more today on how you want to sleep. Timing of sleep with respect to food, exercise, what does a
00:06:34.680 wind down routine look like, sound, temperature, light, all of these things. We got really deep on
00:06:40.160 supplements, melatonin, CBD. We talked about GHB, THC, all of these things. We went into strategies for
00:06:48.120 what to do when you blow it. We all do. We have a horrible night of sleep. What can you do about that?
00:06:53.480 This was something that actually I found very helpful personally. What can you do to help your
00:06:57.660 kids? Unfortunately, kids are often in an environment educationally that is actually not
00:07:02.880 in the best interest of their school. So one of the best takeaways from this entire episode was
00:07:08.640 what can you do as a parent to make it better for your kid if you don't have the luxury of simply
00:07:14.100 moving them to a school that has a better sleep strategy. It would take me another 10 minutes
00:07:18.300 to go into even at the topic level, what we talked about. So you'll have to take my word for it.
00:07:23.220 This was a great episode, totally worth your while. And without further delay, I'd love to
00:07:28.460 welcome you to my discussion as a follow-up with Professor Matthew Walker.
00:07:35.040 Hey Matt, thank you so much for coming all the way down to San Diego
00:07:38.160 to answer everybody's questions on sleep.
00:07:41.180 It's a pleasure.
00:07:41.880 Yeah. For the sake of time, because we're going to try to do this in under three hours. I won't
00:07:48.700 get to ask you how much fun you had last night in the simulator, but I think in a word, it looked
00:07:52.920 like it was pretty fun. Extra ordinary. Maybe we can convince you to do monthly AMAs if we throw in
00:08:00.320 the simulator. I mean, either or I'll come down for simulator or AMA or both, but it's a pleasure to
00:08:06.360 be back and thank you again for having me and hosting me here at your home. Yeah. Well, this is kind
00:08:10.140 of a first. I know we have never done it where we've taken someone who's been on before as a
00:08:13.820 guest and then brought them back specifically to do an AMA. I know Tim has done stuff like this in
00:08:17.400 the past. It's been quite popular. I think it's safe to say that your three episodes probably
00:08:23.360 generated more questions than any other topic we've covered. And I think that's why we realized
00:08:29.920 this was an important thing to do. And I know how passionate you are about this. In fact, in the
00:08:33.440 interim, since we did our first interview and this one, you've given a Ted talk and I think it just
00:08:38.240 came out, right? Yeah. It just came out. Yeah. We'll be sure to link to that. That's a tough talk
00:08:42.500 to give, huh? That's pretty intimidating. It was a lot of fun, but it was work to being a professor.
00:08:48.240 You know, I lecture most weeks. So you think that you know what you're doing. Ted is different. It has
00:08:53.700 a special aura around it. And then they have a particular sort of style that they would like.
00:09:00.440 So it was something different, but I like that because it stretches you. Just when you think you're
00:09:05.380 starting to perfect a craft, you realize that there's something else left. And to me, it's the
00:09:11.100 difference between being an exceptional public speaker and then being a speaker who has wonderment.
00:09:17.540 And I would rank people like Carl Sagan, Richard Feynman, and then probably Sir Ken Robinson, who's
00:09:24.820 done some fantastic Ted talks. They transcend being an exquisite public speaker into being someone who is
00:09:32.240 just so compelling because they add this sprinkle layer on top called wonderment. And I've yet to
00:09:38.800 ascend that pinnacle of wonderment in my public speaking capacity. I'm getting a little better,
00:09:44.720 but I'll never hit their perfection. Yeah. That's an interesting way to put it. I've heard all of them
00:09:48.560 speak, of course. In fact, Robinson's talk on education is probably the second or third, at least
00:09:54.540 at the last time I ever looked, was probably one of the five most viewed Ted talks. That's right.
00:09:58.480 And we're both from Liverpool. Yeah. Yeah. I got to watch it over and over again. I think you guys
00:10:01.920 have the accent advantage, by the way. I just think like I can listen to the accent all day long.
00:10:06.580 So we've got questions, some of them that are kind of high level, some of them that are super nerdy,
00:10:12.580 and we're going to get through, I think all of these. And you've, I know we have an imposed hard
00:10:17.020 stop so you can get a flight back home. Otherwise I realized this would take easily six hours. So we'll get
00:10:23.480 through what we can and whatever we can't get through. Maybe, you know, you offered to graciously just
00:10:27.080 take a microphone and start recording stuff, which I think people will lap up.
00:10:31.220 I will keep being a repeat offender on the show for as long as you and the listeners have me.
00:10:36.080 Yeah. So let's start with some of the sort of high level questions, right? So this was posed by a
00:10:40.520 reader. So for a healthy adult who wants to optimize their sleep and is willing to do everything they
00:10:45.060 can to get the A plus effort, gun to the head, pick a flawless sleep setup for an unknown healthy adult
00:10:51.740 using the intuition you have built. And so we've talked about some of these things, but how much time
00:10:56.560 should they be sleeping? How consistently do you want to see them hitting deep sleep or asleep?
00:11:00.860 And, you know, now that I think about it, before we ask this question, many of these questions come
00:11:05.100 through the lens of people using devices like Aura, Whoop, Fitbit, probably the Apple watch has
00:11:11.040 something comparable. What I heard you say in our last discussion was those devices are probably
00:11:16.600 pretty good at estimating duration of sleep, probably less good at estimating stage of sleep. Is that a
00:11:22.940 fair assessment? Yeah, I think it is right now. And especially the segregation between sort of rapid
00:11:27.260 eye movement and non-rapid eye movement. You can think of it as a sort of like a three-step level,
00:11:32.240 total sleep time. Are you awake? Are you asleep? Essentially that's kind of like a two-class
00:11:36.840 algorithm, wake sleep. And they're pretty good at that. Step down, then you can do a three-class
00:11:42.460 algorithm. Are you awake? Are you in non-REM sleep? Or are you in REM sleep? And they're pretty good
00:11:48.140 at that. Four-class model is, are you awake? Are you on light non-REM sleep? Are you in deep non-REM
00:11:54.960 sleep? Or are you in REM sleep? That's where they sort of fail. And that's where something like my
00:12:00.080 sleep laboratory continues to be the gold standard. So somewhere between sort of a two-class model and
00:12:06.260 a three-class model, that's where those devices right now are sort of rate limited. So I wouldn't get
00:12:13.160 too nervous about some of your sort of deep sleep versus light sleep numbers. Some of them could be
00:12:19.160 accurate within an individual, but for others, it can be more tricky because of the physiology that's
00:12:23.680 not giving the right signals for class accuracy. Yeah. And what about the relative changes? I mean,
00:12:28.680 this is sort of the way I explain things to my patients, which is probably there's no question I
00:12:32.820 get asked more than, Peter, why is my deep sleep only 17 minutes a night? It should be an hour and a
00:12:39.260 half to which I don't have a great answer other than let's not assume that that's necessarily the
00:12:44.400 case. It may be, it might not be. And unless we did a polysom, I don't think we can know,
00:12:48.480 but what about relative changes? So the most obvious example is alcohol, which we've talked about.
00:12:53.840 There is no doubt that alcohol impacts the model. That's right. In the wrong direction,
00:12:59.020 which gives you some confidence that the model is at least picking up a signal that makes sense.
00:13:03.120 This is a great point, which is overall from one individual to the next, it may be somewhat inaccurate
00:13:08.620 for that real deep classification of varied stages of sleep. But within an individual from one night
00:13:14.740 to the next, it may be routinely inaccurate. Meaning that once you establish some kind of baseline and you
00:13:22.160 see a deviation from that baseline, it's more than likely that that deviation is a real deviation rather
00:13:28.120 than a problem of the technology. Because the technology, even though it's errorful, is consistently
00:13:33.580 errorful night after night after night. And so any variance from that, you're absolutely right.
00:13:39.260 That's probably where you want to focus more of your attention.
00:13:41.920 Yeah. So what I try, and again, please tell me if you disagree, what I try to get people to think
00:13:45.920 about is once you've had these rings or whatever for a few months, you pretty much have a sense of
00:13:51.500 what your baseline is on deep sleep, light sleep, REM, time in bed, et cetera. Don't judge those numbers.
00:13:58.220 Now judge yourself against relative changes from those numbers.
00:14:00.960 Absolutely. So the way I think about this is don't follow headlines, follow weekly trend lines.
00:14:09.540 That's the way that you should really sort of think about this type of data set. Now I can follow
00:14:14.380 headlines in my sleep laboratory because we have that degree of precision and accuracy. But when it
00:14:19.080 comes to these trackers, and I wear them too, and I love the APIs, I just data hungry download it,
00:14:24.820 I will plot all sorts of those trends, but it's the trends to follow, not those sort of daily
00:14:30.480 headlines. Try not to be too worried, except when you see a marked deviation away from the trend line
00:14:36.600 and you think that you can pinpoint the cause, alcohol, great demonstration, jet lag, perfect
00:14:42.680 demonstration, et cetera, et cetera. So that's how you can see it. Yeah.
00:14:45.820 Yeah. I also tell patients they're much better at measuring the raw inputs because at least for
00:14:52.080 Aura, which is the one that I can speak to, because I know the most about it. I mean, they're very
00:14:55.100 good at measuring heart rate, heart rate variability, temperature movement. And those
00:15:00.100 things matter when you're resting heart rate is up seven beats per minute and your heart rate
00:15:04.040 variability is down 20%. Yeah. That's going to impact the algorithm negatively and whether or not
00:15:09.600 the fidelity with which its prediction is perfect, we don't know, but those are bad things. Your heart
00:15:14.600 rate shouldn't be up 10 beats. Your heart rate variability shouldn't get crushed. And as you said,
00:15:18.820 I don't think I've ever seen those things where I couldn't point to the Y. The room was boiling hot.
00:15:24.020 Ate a monster meal 10 minutes before bed. I had two drinks or more. Those are the things that sort
00:15:30.340 of consistently do it, which actually now brings us back to our questions. What is the optimal time
00:15:34.720 to stop eating before bed? So I would say probably about three hours before bed is where I would really
00:15:40.980 cut it off. And the principal reason is just because when you lie down, more likely to get acid reflux,
00:15:47.000 more likely to have digestive issues. That's the first principal reason a lot of people will just get
00:15:52.580 reflux if they eat too much closer to bedtime. The other reason, however, is to be mindful of core
00:15:58.620 body temperature. So the advice generally is don't go to bed too full. Don't go to bed too hungry.
00:16:04.420 And if you do feel as though you ate earlier in the evening and you just need something to take the
00:16:09.900 edge off, try to stay away from sort of simple carbs. The reason being is that those will actually
00:16:16.180 just get translated more quickly into a sort of an energy and ultimately a heat index. And when you
00:16:23.560 need to fall asleep, you need to drop your core body temperature. So if you're fueling yourself
00:16:28.240 with simple carbs right before bed, let's say that you just have a nice big bowl of cereal, sugary sort
00:16:34.140 of nonsense, you will actually see a slight increase in core body temperature because of that sort of
00:16:40.440 sugar caloric burning. That raises core body temperature. That makes it harder for you to
00:16:44.900 fall asleep. Why? Because you need to drop your core body temperature by about two to three degrees
00:16:49.700 Fahrenheit to initiate sleep and then to stay asleep. And that's the reason you'll always find it easier
00:16:55.300 to fall asleep in that room that's too cold than too hot. So that's the second reason that I would
00:17:00.060 say try to back away from food. If you do need to eat, try to maybe lean more towards protein if you can
00:17:05.920 and away from simple sugars just before bed. But for the most part, cut off about three hours.
00:17:10.840 Okay. And I want to come back to temperature in a moment with sleep environment, but let's go to
00:17:15.520 another question, which is the same question, but with respect to exercise. We certainly learned in
00:17:20.660 our first discussion that exercise has many benefits, but vis-a-vis sleep, it generates more
00:17:25.740 adenosine. And adenosine is one of these three pillars that creates this drive for sleep. But can it
00:17:32.240 backfire if you exercise too close to bed? We think it can. I mean, the evidence I would say is
00:17:37.560 moderate to strong and the following reasons. Firstly, you actually get an increase in core
00:17:43.100 body temperature, of course, and then you get this nice sort of down shoot sort of later on and that's
00:17:47.940 good. But if you're exercising, let's say in the last two hours before bed, your core body temperature,
00:17:53.960 depending on what you've done, may still be too high and working against what it would normally like to do
00:17:59.720 from a circadian perspective, which is start to drop down and lull you into sleep by sort of
00:18:06.100 evacuating the core temperature from your body. So be a little bit careful with exercise. Too close
00:18:12.520 to bed, I would say a cutoff of about two hours. The other reason is not just temperature though,
00:18:17.240 but also a whole cascade of hormones. You can typically get epinephrine, norepinephrine, or
00:18:22.880 adrenaline, noradrenaline. They're the same things.
00:18:24.580 Cortisol as well, I'm sure.
00:18:25.960 Cortisol usually has a time decay of exercise. And again, it depends on what you're doing,
00:18:30.100 of course, but sort of somewhere between 90 to 120 minutes. So those things can actually work
00:18:36.560 against you in terms of sleep. But for the most part, exercise, anything that is before two hours
00:18:43.240 of sleep is a fantastic tool in terms of sleep promotion. What I would say though, is that the data
00:18:50.060 in the opposite direction is even more powerful. And I think we chatted a little bit about this.
00:18:55.020 It's not just that exercise helps sleep. Sleep profoundly helps exercise. And in fact,
00:19:00.800 that is a two-way street. But if the traffic is flowing more dominantly, I would argue the evidence
00:19:05.300 is that sleep is better for exercise and they're both reciprocally beneficial. And what we know is that
00:19:11.580 when you're sleeping well, firstly, just your motivation to do anything, and especially exercise,
00:19:17.920 is increased dramatically. So forget anything thereafter, the likelihood that you're going
00:19:22.660 to get into the gym, get out on the bike, get out on the road and start pounding the pavement
00:19:26.800 far higher when you've slept well. Thereafter, it's great. Peak muscle strength increases.
00:19:32.540 Your ability to respire and expel carbon dioxide is improved the more sleep that you're getting.
00:19:38.180 Likelihood of injury risk, markedly decreased. Your ability to even sweat and perspire is determined
00:19:45.860 by how much sleep that you get. And we sometimes forget how critical perspiration is for optimal
00:19:52.000 exercise. So it's just a peak muscle strength, all of those things. It's just this cascade of benefit
00:19:58.560 that you get from sleep from the point of getting out of bed, getting started. And then once you get
00:20:03.680 started, exactly what your performance will be, including time to physical exhaustion, which we
00:20:08.280 mentioned last time too. Beautiful relationship there between those two.
00:20:11.900 Yeah. Two nights ago, I flew back from New York and I almost always take the morning flight back
00:20:17.580 because one, you're more productive on the airplane. It's just the morning. There's a far
00:20:21.980 less chance of delay on the first flight out of New York than the last flight out. But occasionally you
00:20:26.500 just, whatever the schedule on. So I had to do what I hate doing, which is take the 8 PM flight
00:20:30.800 from JFK back. And as is the case, at least 50% of the time crew shows up late. By the time the crew
00:20:38.280 gets there an hour and a half later, you're number 317 on the runway. I mean, we didn't get back until
00:20:44.020 like two and a half hours later than planned. So, and I have a pretty fixed wake up time just both
00:20:50.040 because of the jet lag coming back, but also the kids. So I woke up yesterday morning only having
00:20:55.760 five hours of sleep, which was I think good, all things considered, but it's less than what I've now
00:21:00.100 become accustomed to. And it's interesting you say this because I worked out in the morning and my wife
00:21:05.600 asked me later in the day, she was like, how was your workout? And I was like, I got to tell you,
00:21:08.780 it was miserable. Not for any other reason than I didn't want to even be in the gym.
00:21:12.580 It was like two hours of how quickly can I be done with this? I just don't want to be here.
00:21:18.740 For what it's worth, I didn't perform well either. But what caught my attention was how
00:21:22.960 little I wanted to be in the gym. If that's not bad enough, what you also do is get a compounding
00:21:28.500 set of problems atop of that, which is your appetite. And I think there was a question that
00:21:33.660 maybe I can try to weave in here, which is when you are sleep deprived, essentially what the brain
00:21:39.380 receives is a signal that is not dissimilar to starvation. And it releases a cascade of hormones
00:21:47.640 that change your appetite profile. You want to eat more and you're less satisfied with your food.
00:21:53.340 Why is this? The reason is the following, and we've mentioned it before, I think briefly,
00:21:58.080 human beings seem to be the only species that will deliberately deprive themselves of sleep for no
00:22:02.780 apparent reason. Only other time that we see this in the wild where it does seem to have an impact
00:22:09.520 is when animals are under conditions of starvation. When you get a starvation signal, it usually is
00:22:16.500 sort of the cause of saying you need to forage in a larger perimeter area for you to survive. And the
00:22:23.420 way that you're going to do that is probably to stay awake for longer hours so you can forage further.
00:22:28.180 So what happens when the body undergoes sleep deprivation is that the brain thinks,
00:22:34.720 oh, I must be under conditions of starvation. From an evolutionary perspective, the only time
00:22:39.140 I'm ever sleep deprived is when I'm starving, when I'm under conditions of starvation. Now,
00:22:44.860 human beings, when they sleep deprive themselves, they're not under conditions of starvation. So it's
00:22:49.560 a fake starvation signal. So when you're deprived, your brain thinks, oh my goodness, I must be under
00:22:56.500 starvation. It increases a hormone called ghrelin, which makes you want to eat more. It suppresses a
00:23:03.200 hormone called leptin, which says you're satisfied with your food, don't eat more. So overall hunger
00:23:08.620 levels go up, you start to eat more. Now we combine that with this lack of motivation of exercise in all
00:23:15.540 sorts of obesogenic directive territory, eating more, wanting to exercise less, you're burning fewer
00:23:21.880 calories. That usually is why we're starting to understand part of the sleep dependent obesogenic
00:23:27.500 equation. And the other hormone that plays, I think, at least for me, an increasingly greater and
00:23:32.780 greater role in that cascade is cortisol. Because of its role directly on the adipocyte, it is a very
00:23:40.560 anabolic hormone to adipose tissue and a very catabolic hormone to muscle tissue, but also its
00:23:46.020 effect on the liver and glycogen stores via hepatic glucose output. So it's raising glucose,
00:23:50.500 which in turn is raising insulin, which is now acting alongside cortisol. I mean, it seems intuitive
00:23:56.920 to me, but I don't know what the evidence is that sleep deprivation would tend to also run with
00:24:02.900 hypercortisolemia. We can see why hypercortisolemia would drive sleep deprivation. Do we think that there's
00:24:08.600 a feedback loop that is in the wrong direction, i.e. the more sleep deprivation you have, the more
00:24:14.760 cortisol that the animal or human tends to produce? That's exactly what we see typically. Yeah. And if
00:24:20.100 you can go into that state chronically, which is what most of society is not pulling all-nighters,
00:24:24.940 most of society is chronically underslept. So what you end up doing is having this kind of chronic
00:24:30.760 mid to high level of hypercortisolemia. And that is leading to all of this cascade of biology that
00:24:39.140 is non-optimal, part of which is a collection of changes, not just in the brain, but also in the body
00:24:46.300 too. That cortisol spike can actually lead to things like anxiety. And what you should not have if you're
00:24:54.440 looking for good sleep is a high level of cortisol. And so it's bidirectional that the less that you're
00:25:00.660 sleeping, the higher that cortisol level. If that cortisol level stays high at night, it's very
00:25:05.720 difficult to get the good sleep that you need and so on and so forth. And that might also be
00:25:10.500 evolutionary, right? It might be that when the animal is sleep deprived, the evolutionary trigger is
00:25:15.620 there's a reason you're sleep deprived. You will need more cortisol. That's right. I had this discussion
00:25:20.140 with Robert Sapolsky where we went into great detail about the role of cortisol in the subacute
00:25:25.340 level of stress, which is actually for many people, not the stress we're under, but evolution doesn't
00:25:31.720 know the difference. Right. Yeah. We've imposed sort of the mental saber tooth tiger, which is called
00:25:37.500 societally triggered anxiety. I should put fangs on my phone. You know, it's nothing more than a
00:25:43.780 collection of electronics. And yet it induces in me the same feeling as a saber tooth tiger would
00:25:50.000 if it were just growling around me from a hundred yards away in perpetuity.
00:25:54.660 Yeah. And just like that, you have night shift on your iPhone. Those fangs during the day should
00:25:59.080 switch to a sign with a lots of Z's and then a big strike against them over there, because that's
00:26:04.760 essentially what it's going to do to your sleep as well.
00:26:06.920 Well, let's talk a little bit about the wind down routine then. That's a nice foray into that. So
00:26:10.680 I think anybody listening to this who is obviously so curious about sleep has thought about this idea of,
00:26:16.880 okay, you've made a very compelling case in our first discussion that if you want to sit there
00:26:22.680 on your phone, glued to your phone in bed until you put it down, that's just a recipe for disaster.
00:26:28.300 So we accept the fact that we've got to get the electronics out of the way because of two reasons,
00:26:34.380 at least, right? The blue light itself is damaging and it prevents the pineal gland from getting ready
00:26:38.660 to give us that surge of melatonin. But also there's kind of an emotional piece of that as well.
00:26:43.560 So if you were giving somebody advice on the perfect wind down routine, and this is a real
00:26:48.760 person. So this isn't someone who has the luxury of being on a meditation retreat their whole life.
00:26:53.400 This is someone who has a job. This is someone who has a boss. This is someone who is still
00:26:58.560 accountable and lives in a world that unfortunately demands paying attention to their phone, but they're
00:27:04.280 committed to getting the best sleep they can. How would you counsel them at 6 PM? They just finished
00:27:09.660 dinner or 6 30, whatever. What should they be doing between now and say 9 30?
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