The Ultimate Human with Gary Brecka - 125. Kristen Holmes: WHOOP’s Principal Scientist Reveals Game-Changing Research
Episode Date: December 24, 2024Could sleep consistency, not duration, be the hidden key to elite performance? In this conversation with WHOOP's Global Head of Performance & Science, Kristen Holmes, we uncover revolutionary findings... that are reshaping our understanding of sleep science. Together, we dive deep into data from over 35,000 individuals that challenges conventional wisdom about what makes sleep truly restorative. This isn't just another conversation about sleep - it's a masterclass in human performance optimization that could change your life. Watch now and discover why some of the world's top performers are abandoning traditional sleep advice in favor of this revolutionary approach. Connect with Kristen Holmes: Instagram: https://bit.ly/41MYiIK LinkedIn: https://bit.ly/3ByxiCl 00:00 Intro of Show 02:49 Kristen Holmes on Coaching and Big Data in Athletics 05:00 Shift from Training Sessions to Full-Day Readiness 13:00 The Role of Sleep & Circadian Rhythms in Health 15:55 Impact of Consistent Sleep Schedules 20:00 Sleep Research and Behavioral Interventions 23:26 Psychological Perceptions of Stress and Performance 26:04 Big Data and Its Future in Medicine and Wellness 29:18 Kristen’s Work at WHOOP and Personal Health Metrics 32:25 Ice Baths and Recovery: Insights from Big Data 41:45 The Role of Hormonal Cycles in Women’s Health 44:06 Potential of Technology in Personalizing Health 50:00 Athletics and the Importance of Individualized Training 54:52 Big Data in Athletic Performance 1:00:00 Gary’s Clinical Observations and Technology in Recovery 1:07:42 Kristen’s New Book - Coming Soon 1:08:50 Final Question: “What does it mean to you to be an Ultimate Human? GET GARY’S WEEKLY TIPS ON HEALTH AND LIFESTYLE OPTIMIZATION: https://bit.ly/4eLDbdU EIGHT SLEEP - SAVE $350 ON THE POD 4 ULTRA WITH CODE “GARY”: https://bit.ly/3WkLd6E ECHO GO PLUS HYDROGEN WATER BOTTLE: https://bit.ly/3xG0Pb8 BODY HEALTH - USE CODE “ULTIMATE20” FOR 20% OFF YOUR ORDER: http://bit.ly/4e5IjsV BAJA GOLD - 91 ESSENTIAL MINERALS PER PINCH! 10% OFF USE CODE "ULTIMATE10": https://bit.ly/3WSBqUa ELEVATE YOUR WORKOUTS WITH THE ULTIMATE HUMAN STRENGTH TRAINING EQUIPMENT: https://bit.ly/3zYwtSl THE COLD LIFE - BOOST RECOVERY & WELL-BEING WITH THE ULTIMATE HUMAN PLUNGE: https://bit.ly/4eULUKp WHOOP - GET 1 FREE MONTH WHEN YOU JOIN!: https://bit.ly/3VQ0nzW MASA CHIPS - GET 20% OFF YOUR FIRST $50+ ORDER: https://bit.ly/40LVY4y PARKER PASTURES - GET PREMIUM GRASS-FED MEATS TODAY: https://bit.ly/4hHcbhc SHOP GARY’S TOP-RATED PRODUCTS & EXCLUSIVE DEALS: https://theultimatehuman.com/amazon-recs Watch the “Ultimate Human Podcast” every Tuesday & Thursday at 9AM EST on YouTube: https://bit.ly/3RPQYX8 Connect with Gary Brecka: Website: https://bit.ly/4eLDbdU Instagram: https://bit.ly/3RPpnFs TikTok: https://bit.ly/4coJ8fo Facebook: https://bit.ly/464VA1H X.com: https://bit.ly/3Opc8tf LinkedIn: https://bit.ly/4hH7Ri2 SUBSCRIBE TO: https://www.youtube.com/@ultimatehumanpodcast https://www.youtube.com/@garybrecka Download the “Ultimate Human Podcast” on all your favorite podcast platforms: https://bit.ly/3RQftU0 The Ultimate Human with Gary Brecka Podcast is for general informational purposes only and does not constitute the practice of medicine, nursing or other professional health care services, including the giving of medical advice, and no doctor/patient relationship is formed. The use of information on this podcast or materials linked from this podcast is at the user’s own risk. The Content of this podcast is not intended to be a substitute for professional medical advice, diagnosis, or treatment. Users should not disregard or delay in obtaining medical advice for any medical condition they may have and should seek the assistance of their health care professionals for any such conditions. Learn more about your ad choices. Visit megaphone.fm/adchoices
Transcript
Discussion (0)
Sleep regularity was a bigger predictor of all-cause mortality than sleep duration.
Folks who perceived their day as really challenging actually had better night sleep the prior night.
People who perceive stress are going to have lower stress.
Wow, I love that.
But they didn't.
Oh, they didn't?
Circadian misalignment, in my view, is the biggest problem in modern society.
I did a sleep challenge a few months ago with Whoop.
What was astounding to me was that
most people actually had no sleep routine at all.
What was really interesting is ice bath,
regardless of when you do it, is sleep promoting.
And basically what we saw, the fitter you are,
the more you ice bath,
the less good it is for your recovery.
Big data combined with artificial intelligence
is going to absolutely lead the charge. We're getting so close to not having to guess. When
we take this back to like our original conversation with my athletes, like I didn't want to have to
guess, right? I just wanted to be able to keep them healthy. I wanted them to be able to thrive.
If we want to manage load over the course of a season and keep athletes healthy, like
you need that data. For someone that is genuinely interested in optimizing their
health, where do they start? What kind of actionable steps could they take? If we really
want to optimize our health, the place to start is... Ultimate Human.
Hey guys, welcome back to the Ultimate Human Podcast.
I'm your host, human biologist, Gary Brekka,
where we go down the road of everything anti-aging,
longevity, biohacking, and everything in between.
And as you know, we have a very, very special guest on today,
Kristen, who is the Global Head of Human Performance
and Science at Whoop.
And I am a huge fan of Whoop.
And Neil, before the podcast started,
when you got to the house today, I was telling the team, I'm so excited because
we have very different, but very similar backgrounds, big data backgrounds. I come
from a big data background. So I have like a ton of questions for you. And it's also the first time
I'm showing off my illustrious Colorado beard. It's working for you. It's working for me. My
family sort of split over it. My daughter's like, no, dad, you got to shave it. My son has a beard. It's working for you. It's working for me. My family sort of split over it. My daughter's like, no, dad, you got to shave it. My son has a beard. So he's like, I like it.
So we're going to run it for this podcast. But Kristen, I'm so excited to have you on the
podcast today. Thank you for taking the time to come here. Thank you for having me.
You know, when I say my background is in big data, you know, I was a mortality
expert or researcher for large life insurance. And we,
we used big data to very accurately predict life expectancy trends. I mean, to the point where
large life insurance companies were willing to put tens or even hundreds of millions of dollars
in risk on somebody's life based on the modeling that we did. And what I find fascinating about
your background is besides the fact that you're an amazingly accomplished athlete, incredibly accomplished coach and a brilliant scientist is that I was watching some podcasts that you were on before.
And, and you were talking about your career in coaching and how everything that you were doing on the field and everything that you were doing to prepare these athletes for the game had nothing to do with how they were going to show up the next morning. Yeah. And
it was kind of maybe that realization, right? That, um, we're exercising these athletes and
we're training them with strength, training them, and we're training them for different positions.
And we've gotten really good at speed and agility and timing and strength and coordination, but it
had no predictability to how that athlete was going to show up the next day. So can you talk to us a little bit about that, that journey?
Yeah, it was definitely like the epiphany, you know, when we started, you know, having lots of
different types of technology that we could measure, you know, what was happening, the
adaptation during a training session, you know, and really I was in an Ivy
league school. We only had the athletes for at Princeton. We only had the athletes for a couple
hours. Um, and I think we just over indexed on what those two hours were actually doing to the
athletes. And, you know, we had internal load, we'd external load, we had some, you know,
subjective markers, right. So we were really, I think covering our basis in terms of all the
things that we could, you know, quantify during a training session, but yeah, when they
showed up the next day, what we did in the training session actually didn't predict their readiness
next day. And so the challenge with that is, you know, it's, it's hard to plan practices. It's
hard to understand. It's hard to individualize training, right. When, you know, how you are
going to respond to a training session, for example, is going
to be very different for me.
So, you know, we started and this is, you know, 15, 16 years ago, we're like, all right,
you know, it's not just the two hours of the training.
It is the other 22 hours of the day that are having more of an impact.
Let's start to unpack those 22 hours.
And that's when we started to go really deep into sleep, sleep
patterns, sleep architecture, sleep timing. We started looking at, you know, macronutrient intake.
Um, we got a little bit more robust technology, um, to, to look at actually what the athletes
were burning during a training session, um, first beat technology that you probably are familiar
with it. Um, and you know, we looked at hydration and we started building these models and, um, and actually built a technology, um, and
some algorithms to be able to understand hydration levels, understand caloric intake, understand
sleep patterns, um, and really try to develop a model around readiness that could account for the
24 hour period. Wow. I mean,
that's, that's like way ahead of your time. I mean, that's, you still won 12 league titles in
13 seasons. So it means you're, something was working, whatever you were doing. Right. Um,
but I, I would imagine that early in some of those league championships, you weren't really
down the deep, down the rabbit hole in those other 23 hours. No, no, we, we absolutely weren't. Um,
and you know, we knew that we're leaving something on the table. Um, and I, and I think that's where,
you know, as a, as a coach, you know, I, I didn't want to leave anything on the table and I really
wanted to help my athletes optimize their potential on the field and off the field. And
I felt a lot of my responsibility as a coach was to educate them, right. To help them understand
what are the factors that are going to impact your
attentional capacity, your energy production, your motivation. Like I, you know, I wanted them to
learn, not just, you know, win championships and be a sensational hockey player. Of course,
it's more than that, right. It's really providing a performance education over the course of the
four years that helped them understand exactly how it is they need to apply their effort.
So they can take that education and then have it with them for the rest of their lives.
You know, you even talked about how you would apply some of these metrics during a game,
like to see, you know, when should I be taking athletes off the field so that we always have
fresh legs. And I've heard you talk about how we never got late into the game or deep into
a game, you know, the last quarter of a game and lost because of fatigue.
Right.
You know, you see this happen in fights and boxing and you see it happen in every sport, you know, sort of, you know, over utilizing that athlete during their performance time and not knowing, hey, when do I back off of them, give them a chance to recover in real time and then put them back out on the field.
And I'd love to talk a little bit about that.
And then I'm gonna go deep down the rabbit hole
on some of the science.
Yeah, and I mean, it's really, I think having,
and this is what Whoop has done so brilliantly
is understanding capacity going into a match, right?
So lots of factors are gonna influence
how capable I am today to be able to, you know, handle the demands of a,
of a match. So you've got kind of that baseline readiness level. So measuring and quantifying
that is kind of table stakes at this point, right? You know, for the most part, we have access to
that information if we need it. I think where we could go, I think to the next level. And I think
a lot, actually what we were experimenting with is looking at things like EPOC, for example,
excess post-oxidant consumption,
to understand when do I get to that place
where if I keep going,
my quality is going to begin to diminish.
And what you need to do is you need to watch the data in real time
to understand when they start to reach that threshold,
pull them off, let them regroup.
So how are you measuring that threshold?
And for those people that don't know what EPOC is,
can we just get a little explanation of what EPOC is?
Yeah, so it's basically when you are finished an effort,
basically how much oxygen you can consume.
Not VO2 max.
Not VO2 max, right?
So this is a little bit different.
And when you get to a point
where your quality will just diminish,
right, you're going to basically adapt to a lower level of functioning. When you get to a point
where you are asking where your body can no longer meet the demands, right. And that's where, you
know, fatigue starts to set in. You can't run as fast. You can't, your decisions start to wane.
Um, you know, your body starts to not shut down, but it just is not operating as efficiently.
Right.
So, you know, in the first quarter of a game versus the fourth quarter, you know, there's
a difference, right.
And in the quality, but I think that's really what I was trying to tap is how do we maintain
a really high level of quality quality over the course of the game?
It doesn't mean we're always going to win, right.
If a team is more talented than we are, but I really was interested in putting ourselves in a position where we were never
losing games. We should, we should win, right? Number one. And I didn't want to lose because
of fatigue. Right. So that's really what I was trying to solve with this 24 seven picture and
with the technology that we were using to understand how athletes were adapting in the
moment to the load that was happening. And how were you doing that in real time back then?
So we had a computer
that basically was looking at training effect.
So, you know, in real time, on the sideline.
Okay.
And we were monitoring EPOC,
heart rate variability, everything.
But how, was there something on the athlete?
Chest strap and we had blue,
yeah, we had four Bluetooth hubs
that were surrounding the field.
And they would let you do this?
I mean, I just went to my board and I was like,
hey, I want to get this technology.
It's going to help keep us healthy and safe.
But really, and that's really what I was after.
That's just amazing.
I'm such a huge fan of that, right?
Well, we were just, you know, I love, you know, I mean, you know,
this, of course, yeah, it was about a competitive advantage, but
you know, I wanted to keep my athletes healthy and safe. Right. We know that availability
is going to predict 80% of team outcomes, right. Just literally how available are you to train
and compete. And, you know, to me, this was a way that we could understand, you know, how athletes
cope with load. We could understand, you know, really how to just
keep them safe over the course of the season. Yeah. So I think for me, it was just part of the
job. Yeah. I think it's a very nouveau term to start talking about readiness. Like, you know,
I was an amateur triathlete, you know, years ago, so I never was at a professional level, but
my judgment of whether or not I was ready was just basically how I felt. Yeah. You know, how did I feel climbing on the bike? How did I feel when I started out a
run? And sometimes it was predictive. Um, but really often I was, I was shocked by how unprepared
I was. And, you know, now that I've been deep down the rabbit hole of data, I think if you were to
distill all of superhuman performance down to a single metric in terms of its impact. I mean, would you
agree that that would be sleep? Or would you say it's a combination of other things?
It's probably, you know, Winder and Edel just published a paper in January of 2024 that
basically looked at all the different markers of sleep. And what they found is that sleep
regularity was a bigger predictor of all-cause mortality than sleep duration.
Now, it doesn't mean that time in bed doesn't matter.
It does.
But sleep regularity, I think, might actually trump how much time you're spending in bed.
Now, you need to get—
When you say regularity, you mean same time going to bed, same sleep routine?
Yeah, so onset and offset.
So if you think about your sleep when you go to bed and when you you wake up and you want to make that as consistent as possible. Wow. And this is, you know, I've been
tracking this for a long time on whoop and you know, a paper came out in 2017 by Andrew Phillips,
um, who was at Harvard and did a study with Harvard students and what he saw, um, looking at,
you know, he had their kind of, um, their of their daily sleep habits, you know, prior to the study and then during the study.
And basically what he saw is that the one thing that predicted GPA was sleep-wake regularity.
No way.
Yeah.
It predicted GPA.
It predicted GPA.
Wow.
Yeah.
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So, you know, I started because at the time I was working with a lot of athletes.
You know, this is when Whoop was deep into NCAA and professional teams. And so I was tracking all lot of athletes. You know, this is when WHOOP was deep into NC2A and professional
teams. And so I was tracking all sorts of data. And after I read this paper, I started
manually tracking kind of onset and offset to see what I could find in the data. And sure enough,
you know, sleep regularity kept popping up. I mean, I've seen it a lot. Yeah. And then,
so we started just basically running some experiments.
So some perspective research, like just seeing, you know, trying to run some interventions
to kind of see, and, you know, in, in more experimental kind of format to see, you know,
what is the role of, of sleep wake timing, um, you know, in terms of resilience of some
of these other psychological markers and, you know, does it actually predict, you know,
in any of these physiological markers and sure enough, um know, does it actually predict, you know, any of these physiological markers?
And sure enough, yes to both those things.
Really?
Yes.
So if I was going to develop a good sleep routine,
what I call good sleep hygiene, not in terms of being clean,
but just hygiene in terms of your routine,
it's amazing how I did a sleep challenge a few months ago with Whoop.
Yeah.
And we had thousands of
people that participated in it. And what was astounding to me was that, um, when I would get
people on these, um, zoom groups and we would open up a dialogue of questions, most people actually
had no kind of consciousness about sleep, no, no, no sleep routine at all. And if I asked them about
exercise, they had a routine about getting their kids to school. They had a routine. Nutrition dialed in. Nutrition dialed in, like their job, they had a routine for
work. I'm like, what's your sleep routine? I'm like, well, I go to bed. And I'm like, well,
what time do you go to bed? Well, when I'm tired or when it's the end of the day or the night.
It's an afterthought. And it was astounding to me, the paucity of realization that people had about the importance of sleep.
And so we just did something very basic.
And, you know, we got a baseline and a couple thousand people and we ran this sleep challenge.
It was a three-day sleep challenge.
And we did simple things like, okay, we're going to develop a routine, not eating two hours before bedtime,
cooling the temperature of the room down,
darkening the room, taught them a breathwork technique, you know, to do while they were in bed, no screen time in bed. The things that I knew that everybody could do without spending any money
or buying any other fancy equipment other than the Whoop to track it. And what was pretty interesting
was we saw, again, anecdotal in this big group, but about an 18 percent increase in their sleep score
which obviously led to improved um you know recovery and strain reduced strain improved
recovery and uh because we just brought their level of consciousness about sleep you know to
to the forefront yeah and it's interesting because i you you know, I open up our, we still, I'm still in this whoop group and my sleep score gets uploaded in there every day. So now I'm like stressed
about sleep because I'm like, heck, it's my group. So if my sleep score is crap, you know,
then people are going to be like, ah, he's a charlatan. So I do make sure that I go to sleep,
you know, routinely at the same time. But the one thing that we were not tracking was the routine,
like bed at 10 PM or bed 9 PM. Yeah, the consistency.
The consistency. So what you're saying is that is as if not maybe one of the most important
factors for people to try to control. I think it's the biggest rock.
That's a big statement. cell tissue or organ that it doesn't touch. So when you're, you know, it's, it's the regulator.
Yeah. And, and so when you think about human health and functioning,
and if you're not thinking about circadian rhythms kind of more broadly, and certainly
thinking about your sleep wake timing, you're just kind of missing a big piece of the puzzle.
And, and I think we, we think about all these other things, right. And, and all those
other things are important and we need to do them. But when our foundation is unstable, we're just
kind of layering inefficiency on top of inefficiency. So if we really want to optimize our
health, or if we just want to fix our health, the place to start is circadian alignment. Circadian misalignment, in my view,
is the biggest problem in modern society. Because we're fighting the natural cycle.
Yeah. I mean, we have access to artificial light 24-7. We have access to food 24-7.
And temperature regulation. Yeah. Everything.
Yeah. I mean, we just, yeah, we're in like climate controlled environments all the time. Right. So we just, we haven't adapted to blue light after the sun sets, for example. Right. We haven't adapted to eating, you know, huge meals after the sun goes down, like right before we go to bed. So a lot of these things, you know, we're just, we're kind of fighting our internal preferences, right? Every, like all of the clocks in our body want to do things at
certain times. Right. And when we bypass those internal preferences, we cause a lot of
miscommunication. Disregulation, sure. Right. You know, the cells don't communicate as effectively,
right? And we know that cellular miscommunication is the basis for aging and disease. You know, the cells don't communicate as effectively. Right. And we know that cellular miscommunication is the basis for aging and disease.
You know, interestingly, I saw there was a sleep physician. I forget his name. He's got the long blonde hair, but he was on Huberman.
Oh, Matthew Walker? Dr. Matthew Walker? Yeah.
One of the statistics that he put forward, and I don't want to misquote it, so I'm going to paraphrase it, which was astounding to me, was about daylight savings time.
Yeah.
And about the increase in cardiovascular events
and the decreasing, the concomitant decrease in cardiovascular events. So when we lost an hour of
sleep, there was a corresponding spike repeatedly in cardiovascular events. And when we actually
gained an hour of sleep, there was a corresponding decrease. And this happened over and over and over
on the daylight savings times each year.
And I mean, that just kind of shocked me.
When people are vulnerable already,
sleep is just gonna throw you over the edge, right?
Yeah, you're right on that edge.
And sleep regularity, right?
Like mistimed sleep or changes
in your typical sleep-wake time
just really throw your system
for a loop. And I think that, that, that study is evidence of that. And I think it's becoming so
much more, you know, mainstream and in vogue for people to really pay attention to their sleep.
You know, I know Brian Johnson talks about it being your, you know, superpower, the biggest
superpower that he's discovered in his journey with Blueprint. Yeah. And, and I, I'm a big
believer in that. I mean, a few years ago I stopped, I started scheduling
all of my meetings and travel around sleep and exercise. And what a dramatic difference it has
made in my psyche. Just, I don't know how to sort of paraphrase it, but just like my level of
happiness and contentness and the readiness I have for meetings and preparedness for, for podcasts. I mean, that's why I put the
podcast here in my home. And just what you're talking about is circadian alignment. You know,
so when you look at, you know, the consequences of circadian misalignment, it's, you know,
it's increases in cancer risk, it's cardiovascular disease, it's diabetes, it's obesity,
mood disorders, psychiatric disorders, right? Like there is not a mental
health issue that circadian disruption doesn't touch. A hundred percent of mental health issues
will have some sort of circadian disruption. No question. And I think sleep is just always
the thing that we sacrifice, right? It's the easiest thing to forego, right? So, you know,
we didn't have time to finish a project, so we stay up late at night and we go to bed and then
we still have to get to work in the morning. Or we just decide that we'd rather, you know,
we're going to a destination. We want to have a whole day when we get there. So we're just going
to take the really, really, really early flight, you know? And so now we're getting up at three
in the morning to make a five 30 flight. And so it's, it's always the thing that I think we push
around in our life. Right. And I think it should be the thing that is the stable. Yeah. The constant.
I couldn't, couldn't agree with you more. You know, we had a really interesting
conversation here in the unit before the podcast about some of the psychiatric impacts on performance.
And you have a PhD in psychology. And I think it's a really interesting approach to take psychology and apply it to physical performance.
Because the way that modern medicine, in my opinion, looks at the human body is that this is completely separate from this.
Right?
Like somehow there's no connection here at the neck.
We treat psychiatric disorders not as gut issues.
We don't treat gut issues as psychiatric issues. And so we had a really interesting discussion about the psychiatric impact of thought and perceived stress on performance.
Could you give us a little?
Yeah, yeah.
So I'm a psychophysiologist.
So I started kind of with physiology and expanded into psychology really because of, you know, so a psychophysiologist basically, you know, as a psychologist, I look at, you look at psychological processes and basically the inner relationships between your psychological processes and physiological responses and vice versa.
So understanding kind of this connection, in my view, is so critical, right?
When you have studies that just look at the physiology, but we don't know how someone's, or just the psychology, we don't know how someone slept, their sleep patterns, like we're just missing a piece of the puzzle. Same sort of thing. If we're looking at some of these physiological process, but don't have any of any psychological context, in terms of their psychological functioning, again, we're probably missing a piece of the puzzle. so essential. And that's really where wearable technology has enabled us to basically run
these psychological kind of experiments or include psychological measures while collecting all of
this physiological data. So we ran a huge study looking at blood pressure, stress, and sleep.
And in the survey, we asked folks their perceptions of their day to the degree that
they thought their day was threatening versus challenging. So we asked them at the end of the
day. We also asked them lots of sleep anxiety questions. Threatening. Yeah. Is your day
threatening? You know, like, yeah. And what we saw was really interesting. So folks who perceived
their day as really challenging actually had lower blood
pressure as measured by our stress monitor, which is not surprising. Um, and, um, had better night
sleep the prior night. So I think what that tapped was, you know, feelings of self-efficacy. So
feeling like you have the skills and resources to tackle tomorrow are going to help you sleep
better. Um, your preparedness kind of going into the day is going to help you sleep better, right?
So all of these feelings of challenge. But what was really interesting is we, our hypothesis was
that people who perceive stress challenge are going to have lower stress. Wow. I love that.
I always say- But they didn't. Oh, they didn't. See, I always say if your morning's
hard, your day will be easy. So on our stress monitor, which is a scale of zero to three,
and it's taking in heart rate and heart rate variability continuously, they registered,
if you perceive the day as challenging, okay, you're prepared. You actually register higher
on the stress scale. Wow. Because you feel prepared for the stress, maybe? I think you're
just mobilizing energy. You're excited about your day. And this goes back,
I think, to the thesis that stress is not bad. Stress is a gift. It gives us energy.
Or hormesis is that you stress the body. It improves by strengthening.
Yeah. It's adaptive.
Yeah. It's adaptive.
And then conversely, when people perceive their day as threatening,
so at the end of the day, they perceive as threatening, actually their prior night's sleep was worse.
Okay.
So they kind of knew going into the day that they were not excited about it and that somehow impacted their sleep.
And on the stress monitor, their stress was actually lower, but their blood pressure was higher.
So I think what's happening is almost like this paralysis, right? When we perceive
something as stressing, we don't move as much. We're not as energized or energetic, or, you know,
we're not using our brain as much, or we're not as excited about the day. So, you know, I think how,
you know, what I take from this study is obviously how we frame our day is really important.
And just understanding, I think the role of self-efficacy,
like feeling like we have the skills and resources to tackle our day. We've got some element of
purpose, right? I think it taps purpose as well. Like, do I have, you know, is tomorrow going to
be meaningful? Is it going to be, you know, fulfill my values, right? And that has a real
adaptive impact on our physiology. So it was pretty cool to see.
That's very interesting. You know, I often think as much of a big data person as I am,
I also think that there's- And this was 35,000 people.
No, it was 35,000. Wow. That's a huge sample study. See, here we go back down, you know,
you're reinforcing my belief again in big data. I mean, I think that big data is going to
revolutionize modern medicine in a way
that in my opinion is going to be catastrophic for modern medicine.
And the reason why I say that is that we will no longer be beholden
to the randomized clinical trial, the isolated clinical trial
that we're extrapolating out to a large population.
We're going to have big data on human beings in real settings
where everything is controlled.
You know, we talked about a sleep study, for example, you know, five people go in or eight
people go into the University of Miami and they sleep on, you know, a plastic cot and
some dude's looking at them through a two-way mirror and they got electrodes all over their
head.
And that's supposed to somehow be-
Representative of every single night of their sleep.
Yeah, of every single night of every sleep.
And they're like, you know, REM starts like, REM starts here and deep sleep starts here.
But rather than like what WHOOP can do, which is take a giant population of people and examine hydration and their environment and their sleep and their recovery and their strength in their own natural environment, which is where human beings behave in communities.
We don't behave in isolation.
I don't think that we should be studied in isolation.
I don't think that our cells should be studied in isolation sometimes when we do that
and we extrapolate out um data from that it ends up being very detrimental and what's happened
historically and i talk about this a lot is you know these 10 year long randomized clinical trials
to get you know drug or synthetic or pharmaceutical approved sometimes very often have a very narrow hypothesis
that you're trying to prove.
And if they prove that, then it results in a treatment,
a drug, pharmaceutical, chemical, synthetic, what have you.
And then we get 10 years more population data
and we realize we made a major mistake.
But now we're 20 years down the road.
I think that time frame is being compressed to 30, 60, 90, 120 days now
because of things like wearables.
It has the potential to.
You know, so much data.
Yeah.
What are, so as good as big data is, you can also get paralysis of analysis, right?
It's like trying to buy a stock and you got 50 different stock charts and eventually you just freeze.
And I think sometimes when people are approaching wearables,
like you can go pretty deep down the rabbit hole and whoop, right?
As much as you, as deep as you want to go, you can go.
So for the non-professional athlete, you know,
for someone that is genuinely interested in optimizing their health,
like where do they start?
What are the key, like one, two, three metrics that you should be measuring?
And then when they get that data,
what kind of actionable steps could they take?
Yeah, I mean, I think the metrics
that I pay most attention to,
sleep consistency, which we talked about.
That's a big one.
I mean, I tend to be very consistent with my sleep,
but it's one of the things that we didn't actually track.
We see that after like a few,
so the average, so healthy user bias,
right? We have the folks who choose to be on whoop usually are like, all right, I want to be
healthier. I want to sleep better. I want to understand how to recover. I want to build strain.
You know, they're pretty motivated. I want to build strain. I want to build strain. Um, you
know, they're probably pretty motivated. Right. So, you know, just understanding that we've got
kind of this healthy user bias, which is what I'm going to say.
I think that fact makes what I'm going to say even more profound is that when you look at sleep consistency, the average sleep consistency, which is on a scale of 0 to 100, the more consistent your sleep, the higher your sleep consistency score.
So 100 would be very consistent sleep onset offset.
We take the average of your
last four nights compared to today, and we give you a percentage. So a hundred percent would be
perfect, you know, sleep wake time regularity. So you went, you went to bed at 10, you got up at
six. Yep. And you did that for four days straight. Okay. So you'd be have a perfect score. So on our
platform, the average sleep consistency of our members is 66%. Wow. Solid D. So a solid D, right? So to get 85%,
you have to have about 45 minutes of sleep-wake variability on either end. So these folks are
probably at two and a half. On average, our members are probably varying their sleep
about two and a half hours. Two and a half hours,
you mean in their bedtime? Meaning 10 p.m. to 12.30 in the morning. So basically, you know,
they're going to bed at nine one night and then waking up eight the next day. And then the next
day they go to bed at 11.30, they wake up at six, you know, so there's a lot of variability, right?
When you're at that 66%. So, and what we see in the healthiest population, okay, so collegiate athletes, 18 years old to 23, after just one hour of sleep-wake variability, we see a degradation in heart rate variability and resting heart rate.
Wow.
So you can just imagine as you age, you become way more sensitive, right?
Wow, Just a single
hour. Just one hour of variability. We see declines in HRV and increases in resting heart rate.
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So we have a lot more analysis to do across different populations,
but I think this gives us a sense of,
wow, okay, after an hour,
you know, we start to see declines.
And we know heart variability, resting heart rate,
you know, kind of ladder up to your readiness,
just generally, and your overall health.
And so sleep-wake variability matters. And we've seen, you know, kind of ladder up to your readiness just generally, um, and your overall health. And so sleep, wake variability matters. And we've seen, you know, sleep, wake, we did a study, um, that looked at basically
COVID.
Um, so it was the three months prior to COVID.
We had all of the baseline data.
So all of the physiological data and 20,000 people basically took our survey, which assessed
their mental health.
So basically right after lockdown,
we sent this survey out.
Over the course of three months,
we're collecting this mental health data.
They send it back to us. The one behavior that predicted mental health resilience,
okay, was sleep-wake variability.
Wow.
Dude, I am going to go down the rabbit hole
of this sleep consistency. I mean,
I knew it was important, but like, you're like blowing me away with this. I think, and then we
did a study with a thousand paratroopers in army Alaska, and this is exploratory study. But again,
we saw sleep, wake consistency bubble up to being predictive of psychological functioning,
workplace resilience, control. So hard, right? Yeah. But the ones that, the more consistent they were, the better workplace
resilience, the better they could handle op tempo, the better, you know, the, the better,
the more positive their social networks, more control they felt. Wow. And, and then just most
recently, this study is, is in, is in review right now, but we looked at four behaviors,
four core behaviors. We looked at
viewing morning sunlight, which I'm going to talk about in a second, viewing morning sunlight,
zone two training, breath work, and time-restricted eating. So the folks who did those four behaviors,
this was a quasi-experimental design. So we had basically the four weeks of the challenge,
and we could compare that to the data, the four weeks prior. And we also had
a match control and this was 38,000 people. So we had a match control of 38,000 that matched
the challenge participants. And basically we saw that the folks who participated in this challenge
and did these four behaviors improve their sleep-wake consistency. And then in turn improved
statistically meaningful, meaningfully improved their cardiorespiratory fitness and their parasympathetic activity by just engaging in these four behaviors.
Yeah.
So what are the four?
Again, I want to make sure.
It was viewing morning sunlight, right?
So when we talk about sleep.
I do that every day.
Okay.
Yeah, exactly. So when we talk about sleep and for folks who are like, all right, I want to improve my sleep, a lot of the sleep industry is going to just say, spend more time in bed, cold, dark,
quiet. Those are all really important. Yes. But in order to really improve your sleep, you need
to stabilize when you go to bed and when you wake up. And to do that, you have to tell your body
when it needs to release melatonin, right? Which is going to signal to your body that
it's dark and it's time to be asleep. Um, but to do that, you need to view morning sunlight.
Yeah. So you got to set your, set your alarm, you know, at, for a time that you can adhere to
get up at that time within 20 minutes, get outside, view the natural light for five minutes,
10 minutes, depending on how cloudy it is. You might need to spend a little bit, get outside, view the natural light for five minutes, 10 minutes, depending on how
cloudy it is. You might need to spend a little bit more time outside, but that is the best way
to improve your sleep. Wow. And get to that kind of sleep regularity. That's, I mean, that's one
of my drugs of choice. Um, you know, I have the right outside. So the sun rises on the, um, east
side of, you know, my building. I mean, your setup here is just, you got the sun set, the sunrise.
You just walk across the other balcony.
But I love it because I'll go out there
and I'll also just do some horizon gazing.
So the ocean's out there.
That panoramic vision,
which immediately increases your heart rate variability.
Drop your heart rate.
And I'll just do three rounds of 30 breaths.
Don't put a lot of stress on myself.
I usually just try to expose as much of my skin to sunlight, which my neighbors don't like.
They love it.
Whatever.
Not fully in the birthday suit, but I'm down in my bathing suit.
And I'll just go out and I'll sit on the chair.
I'll horizon gaze.
Do three rounds of 30 breaths.
I'll take in the morning sunlight.
I'll let that sun kind
of warm my skin up it feels amazing um usually you know at first light there's no real uva or
uvb for about the first 45 minutes you get healthy blue light not like the blue light we get from our
screens exactly and you know it really does set my my day and you know again i keep shouting out
to humor man but i was also watching a podcast of
his where you actually talked about the importance of taking in this light and your effect on your
sleep that night. And I do notice when I am consistently, you know, viewing sunlight and
doing breath work, um, and allowing the sun to hit my skin. Um, and sometimes I'll even go down
to the park down here and ground at the same time. You do those few things.
I mean, touch the surface of the earth, let the sun hit your skin, view the morning light,
do a little breath work, cost you absolutely zero.
I just don't think people realize how profound of an impact it is.
And I think like that's the message.
I wish I could like bottle it up and patent it and then charge it and write it as a prescription.
I know, I know.
But that's the problem.
I think people want a quick fix or they want just take a pill. Like, you know, you, you, you cannot beat the natural environment.
Right. You know, like you, you, we need, we need natural light like so desperately. Our body
is craving it. Oh, we're photovoltaic beings for sure. I mean, you know, when we look at these
red light beds, you know, these fancy red light red light beds um all they're essentially doing is mimicking the beneficial wavelengths right from the sun i mean they're emitting the
uva uvb the damaging rays but they're they're they're taking in that photovoltaic energy that
our cells need yeah and there's an enormous body of evidence that exposing your skin to sunlight
you know my my opinion is that we're not getting enough sun not that we're getting too much sun
i mean you look at the levels of clinical deficiency and vitamin d3 i mean 50 of the
world's population darker complected populations african-americans latinos i mean mental health
issues clearly i mean mental health you know people who are spending more time during the day
in the natural light are going to sleep better you know like it just has this like virtuous cycle
that you know it's funny the whole reason why i I live in Miami right now is I went to grad school in Chicago and
I lived there for six years, um, downtown in Chicago is a great city, um, at that time
and, um, just clean, friendly.
I lived in South loop.
Um, and I, and I love Chicago.
I learned to believe in like, uh, uh, live music.
There's had a great live music scene, but by the middle of the winter, everyone had
seasonal affective disorder.
Yeah.
Like everybody was in a bad mood.
Yeah.
And all everybody wanted to do was just drink beer and eat pizza and stay inside.
Yeah.
You know?
And I remember the feeling six years in a row of that first like Indian summer day in
the spring where you could actually go outside, you could actually open your windows.
Yeah.
And you could feel the energy of the whole city change.
Yeah.
Right?
Now I was there when like Jordan and Pip and Robin were playing for the Bulls.
It was a great, it was really a great time in Chicago.
But I just remember those, you know, they would have jazz in the park and like the whole
city would come alive.
But there were three or four months there where absolutely your mood, your emotional
state, even like your memory, the level of fatigue, you know, you would put on a little bit of weight.
You would just be so lethargic because you wouldn't see the sun for months.
Yeah.
And so now that I live here, I never feel like that.
Yeah.
You know, just having that exposure.
It's easier down here.
But I can say, you know, someone who's lived in Maine and, you know, I live in Massachusetts, like my data is better in the winter.
Better in the winter.
Yeah.
I just, I can train harder, I think, just because I think like the hot weather reduces your capacity.
You know, like I can't quite push probably as hard.
I think that's what's at play.
And I definitely sleep a little bit longer in the winter, which we're supposed to, right?
We're supposed to actually adapt to the seasons.
Right.
But that said, I spend as much time outside in the winter as I do in the summer.
So do I. So I think that is actually the solution for people who are in these more northern climates who, you know, it's, yeah, it's maybe not as comfortable.
Right.
But I feel like.
No, again, it's a hormetic stress, right?
It is, yeah. it's yeah it's maybe not as comfortable right but i feel like it's a hormetic stress right it is yeah we gotta call grandma not to go outside it's too hot not to go outside it's too cold just
to lay down to relax and rest you know to eat at the first pang of hunger i mean these are
collapsing our natural defense mechanisms kids don't need to be buttoned up to the t you know
like the clothes you know like it's okay to have cold on your skin you know for a little bit
obviously you have to be safe but you know but um or heat on your skin or heat on your skin, you know, for a little bit, obviously you have to be safe, but, you know, but, um, or heat on your skin or heat on your skin, you know, like, oh yeah, those, those,
it's your point. Those stressors I think are really important. Right. And, and, um, you know,
and we need to give our bodies a chance to adapt to, to that stress. Cause if we, when we adapt to
it, that we grow, we get stronger. I totally agree. What, what, what are some of the really
exciting, like inspiring things right now for you that are going on at Whoop or going on with,
you know, big data sets, like where, where is your energy going right now? Where's your
curiosity taking you with big data? Yeah. I mean, I really want to help women understand how to
have and maintain a healthy period. Wow. That is massive. You know, like I, I just, you know,
it's one of those things where, um, you know you know, I feel like I've unlocked a lot for myself in this area.
And we are seeing really exciting things in the data.
And, you know, I have a daughter and.
How old is your daughter?
She's 16.
Oh, awesome.
I have a 16 year old too. 16. Oh, awesome. Yeah. And it just, yeah, just, you know, being around, you know, her and her
friends and just kind of seeing like all the confusion and noise that exists around that.
And, and I think too, like the desire to, you know, have a natural period and not be on hormonal
birth control. Like, you know, there's like a real change, I think, in terms of, it doesn't
mean that you're not a feminist, right? If you're having a natural period,
I think people recognize, oh, okay, you know,
natural period is probably the healthier path, potentially.
Natural period, probably being the operative term there.
And not for everyone, you know,
and I'm not demonizing hormonal blood control at all.
I'm just saying that the default shouldn't be,
doesn't have to be hormonal blood control just because it's inconvenient because it would happen it masks symptoms right when we take
hormonal birth control and you know and in the way that you know primary care physicians are like
approaching this i think we need like a whole revamp in that area it just, in terms of what I'm passionate about, like, you know, I just, I really want the time. I want practitioners to be able to have more time to have conversations
with young women around what their options are, you know? And I think that's where technology
can step in and really help you understand when you're ovulating, when your fertile window is,
so you can be smart about when you have sex and when you don't have sex and the type of protection that you need. So you can
maintain a natural period and you can get all the benefits of those fluctuations. And you can see
when you might be under fueling or over fueling or, you know, not hydrating enough or over training
or under training, you know, that is going to manifest. Give you that kind of data?
Yeah.
I mean, we're, we're getting there, you know, but this is the promise, right?
This is, this is, I think helping people understand how to use their period as a signal
and then be able to modify their behaviors to keep themselves in the healthiest possible
range to me is the future.
And we can, I think delay the onset of perimenopause. It would help with time-restricted eating,
all kinds of things.
Yeah, I mean, all of these things that I think that
when we understand how to apply our effort, right?
And how you respond to certain interventions
is gonna be different than me.
And that's, again, I think the promise of technology,
it is me against me, right?
And that's where a lot of these normative values,
we're talking about blood panels and hormonal panels
and what is good for that girl.
It might not be good for me.
I totally agree with you.
It's like HRV, right?
People compare theirs to other people.
And I'm like, well, you should really develop a baseline and start to see what's improving or making yours worse.
Exactly.
And your genetics is going to establish your baseline too, right?
Like just because I have maybe, you know, my resting heart rate is 50 beats per minute
and my doctor is like, oh God, you're so healthy.
But maybe for me, you know, that's just because of genetics.
So when I go to the doctor and they say my heartbeat,
my resting heart rate is 62.
And for me, that's 12 beats higher than my baseline.
That's a problem.
But I'll go to the doctor, they'll be like,
oh, you're so fit and healthy.
I'll be like, no, right?
And that's,
I think that is another promise of like just this longitudinal data is that we can understand our
own baseline and understand what is good for me. Not just these reference values that, you know,
yeah. Because perfectly healthy people have HRVs in the fifties and sixties and perfectly healthy
people have HRVs over a hundred. Uh, my son's a pro athlete and his HRV is constantly over 100.
Yeah.
Well into the hundreds.
Yeah.
And my daughter's is a lot lower, but compared to, she's also very healthy, but compared
to her baseline, you know, we know what helps it and hurts it, sleeps the big thing.
And you can modify, you know, that's what's so fun it's like you can do your behaviors are going to support you know your your kind of values or not right like
you're you know there so i think there's an opportunity of course to improve your hrv
through your behaviors there's improve your rest of your behavior is there really ways to to um
look at follicular you know ovulation and luteal phases of the menstrual cycle and
and and menstruating women with a wearable day.
Oh, yeah.
What kind of things are they?
What kind of metrics are you tracking?
Yeah, so basically looking at the pole shape of your heart rate,
we can see how the amplitude changes over the course of a cycle.
We can tell you if that amplitude um kind of healthy range versus not
um we can kind of tell if you're in perimenopause or not like you know these are things that we're
going to be able to model and detect that's amazing because you know we we also have the
clinic side of our our business and on the clinic side you know our our clinic director is a board certified ob-gyn
she's a regenerative ob-gyn dr sarda she's amazing and a lot of times we see that women that have
been on um birth control for prolonged period of times when one of the things they use in birth
control is you know shbg the sex hormone binding globulin and it does exactly what it sounds like
it does it's it's a protein basically that binds to sex hormones, mainly testosterone.
And so what it does is it doesn't throw the level of their hormones off.
It throws the ratio of their hormones off.
Oh, interesting.
So free testosterone to testosterone, for example.
And in men and women, this testosterone level, even in young women,
it has an impact on this erythropoietic process of of the production
of new red blood cells and so we find in the in the vast majority of these young women that are
on birth control especially if it's shpg and i know there are other forms yeah um iuds and things
but that use this shpg that their their testosterone levels seem to plummet.
And when their testosterone and free testosterone levels are so low,
they're not producing a lot of red blood cells.
They become borderline anemic.
Anemic, wow.
But it's the kind of anemia that hides in plain sight because, you know,
red blood cells have a range, but they're down near the bottom of the range.
Hemoglobin has a range, you know, the fluid in the red blood cell has a range, but they're down near the bottom of the range. Hemoglobin has a range, you know, the fluid in the red blood cell has a range
but they're down near the bottom of the range.
And so when you have... you're in the lowest percentile for RBCs,
then you're in the lowest percentile for hemoglobin
and these girls are just wiped out.
They're exhausted and they never tie it back to the birth control.
But when you look at a blood panel, you're like,
you don't have any oxygen you know
um crazy and as they come off and that as that protein unbinds and yeah and their levels return
to normal like their energy goes back through the roof so it's what's really exciting to me um is
that um you know using a wearable to reliably time their menstrual cycle. So like you said, they can have safer times to have intercourse.
You can just understand what is normal fluctuation, right?
Like what is abnormal fluctuation?
Maybe I know why I just don't feel really good right now, you know?
Okay, it's cuckoo time, you know?
But I mean, I think this is what, again, is so exciting to me.
And when you can apply it to a mass population, especially a population that is in their own
environment, and I think this is the downfall, the pitfall of a lot of clinical studies that
have good intentions, but you take people out of their normal pathic environment and
assume that they behave the same way when you
put them back in or you take a cell out of the body and study it in isolation you assume it's
going to behave the same when you put it back in the body and i think nothing could be further
from the truth yeah i think big data combined with artificial intelligence yep um is is is going to
absolutely lead the charge it's just gonna it's just gonna cut down on the guesswork, you know,
like there's no need, we're getting so close to not having to guess, you know, and that's what,
like when we take this back to like our original conversation with my athletes, like I was just,
I didn't want to have to guess, right. I just wanted to be able to keep them healthy. I wanted
to keep them safe. I wanted to, you know, just be able to, you know, just, I wanted them to be able to thrive. Right. And,
and, and a lot of this stuff that we, that, you know, frankly are, is really noisy, you know,
just this menstrual cycle, how do we actually, you know, train, like, do we need zone two versus
zone five or, you know, can women do zone two, but, you know, like there's so much of this
stuff out there that I can't wait to answer a lot of these questions.
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Now let's get back to the Ultimate Human Podcast.
Does it surprise you that I work with a lot of professional athletes in the NFL?
I also sit on the board of the NFL Alumni Association Athletica. I work with a lot of professional athletes um in in the nfl i also sit on the board of the nfl alumni association
athletica um i work with a lot of professional fighters it's pretty astounding to me how many
athletes and even athletic teams um are relying on just pure talent right athletic ability and
you know okay when you're 19 20 21 22 you can just pure talent will get you through just about anything.
But and, you know, they're into nutrition.
They've really dialed in training.
I think that like strength training and position training and all.
I mean, they're really dialed in their training.
But the paucity of real understanding of this type of data or the availability of data. I mean, I think still if you were to go to most professional teams and talking about heart rate variability tracking
or sleep tracking or readiness, recovery, strain,
any of these metrics that were so easily available
that could, I mean, you're way ahead of your time.
What you were doing in your collegiate coaching
at Princeton that you haven't even done for what, a decade?
They're not doing now no um i bet they're
leaving so much on the table so much on the table it's you know and i i'm in so many high performance
environments you know just have been over the course of the years yeah there's so much we could
be doing and a lot of the barriers frankly just are around trust you know the athletes don't trust
the performance science team you know that to handle the data and to model the
data. And it's such a shame because it's very individualized to like some of them, they'll have
their own team, one guy. Yeah. But, but that's where, you know, it's like, if we want to manage
load over the course of a season and keep athletes healthy, like you need that data,
right. And the coach needs to know how many minutes do I play this guy? You know,
some of the teams are doing it, but I guarantee it's not as dialed in as it could be like it could be way a lot of
players you know um take this into their own hands too you know like the ones that are hyper dedicated
yeah yeah you know like you look at somebody like tom brady that you know really took matters into
a lot of control over you know in that environment that environment, just given that he was Tom Brady. Right. Right. He probably had a lot of say over when he practiced, how much he practiced, you know, what his load was going to be that day. Right. But I think that that to me is kind of the missing piece in a team environment is really being able to individualize training and have that actually be part of the culture, right? How I responded to
yesterday's game is going to be very different from the guy on my right, my left, right. Based
on how I slept, how I ate, you know, just how I'm managing my relationships. You know, there's a
whole myriad of factors that are going to influence how I show up today. Right. And being able to
account for that and plan a practice around that to me is like the only way to do it. And that's literally what I was
doing as a coach. And one of the reasons why we were so successful is it was so individualized
and that became part of our culture. And because I think where teams go wrong is, is I think that
they, they try to apply one model to all the athletes. And that is just not the way physiology and psychology works.
Right.
Like we're so individual.
Now you can have cultural norms, you have team values, like you have everyone kind of
centered around this like common mission.
But in terms of how you train someone and the individual protocols that each person
needs, I'm sorry, it's going to be different.
And if you can't create an individual performance
plan for each athlete, you're going to leave something on the table. Yeah. You know, it's,
it's interesting. You know, part of our clinical practice is we do genetic testing. Nice. And
what's becoming really exciting about genetic testing is that, you know, our genes, you know,
they say they load the gun, but they don't pull the trigger. I mean, you know, our genes, you know, they say they load the gun, but they don't
pull the trigger. I mean, you know, epigenetics, our environment, right. It's a set point. It's a
predisposition, right. But you're not, you know, if you have the BRCA gene, you're not guaranteed
to get breast cancer. If you have predisposition for, you know, early onset cognitive dysfunction,
you're not guaranteed to get Alzheimer's or dementia or early memory
loss. You can make behavioral changes and environmental changes that have dramatic
impacts on pushing that back or even eliminating it from your life. But it's astounding how,
I think like in early cancer screening, people are like, I just don't want to know. No, actually you do want to know, right?
You want to know as early as possible so it is the least disruptive to your life.
But I feel like in general, there's a slow adoption for this type, especially the pace that big data is moving and its pace of adoption. Like people like you and I were like, dude,
this is great data. You should be paying attention to this.
How do you, how do you bring it more mainstream? How do you,
how do you improve the, the adoption of it? I guess, prove the efficacy.
I mean, I think like, I think that the science is there, you know,
in terms of heart rate variability. It's accurate.
We've got external studies that are able to validate.
I think people are starting to know that, oh, this is a really nice proxy for my overall mental and physical and emotional health resilience profile.
I think HRV is a great proxy.
Everyone, I think, recognizes resting heart rate is also a great proxy. All these think recognizes heart rate, you know, resting heart rate is also a great
proxy. So all these technologies are doing that pretty well. It's like table stakes. It's not,
it's pretty accurate in our sleep, sleep staging. Like all of that is getting better and better and
better. You know, our algorithms are getting better. Um, and, um, so I think there's a lot
of insight to be derived. And I think to get people over the hump, they have to be just willing to kind of face the
truth.
And I think that is the, to your point is the barrier for some folks.
They're like, I don't know if I want to know, you know, or I don't know if I'm ready to
make change.
And so I think number one is people, all right, I want to make some change and then, you know,
not being intimidated by the data, but being all right, this is going to be a tool to help me understand if what I'm doing, if the effort
I'm putting forward is actually helping.
Right.
Right.
And I think that's, that's where we need to get people to.
It's just like, Hey, it's not about the score per se.
It's about understanding if how you're applying your effort is actually working.
Right.
Right.
And that's really a lot of research.
You don't really have a understanding. Yeah. I mean, you just, you just don't
know if, if like how you're the effort that you're putting in is if you're actually getting
the return, right. You can see your body changing maybe. And that's good motivation, motivation.
But your body can change. For example, I could lose a lot of weight, lose a lot of muscle
and I can look great, but what's my scorecard internally. Yeah. Right. Like that's, that's what really matters. Right. So it's getting people to
recognize that, okay, whatever's going on the outside, that's one thing. Okay. And yeah, that's
a signal like your skin health and your hair health, like all of that. Yeah. Your nails and
all that matters. But, but there is a scorecard internally too, that we now have insight into and the things, the behaviors that are going
to impact our, in our ability to adapt to external stress are, are things for the most part that we
can control. And my research is really about what is that taxonomy? What is the order of operation?
How do we move the needle the most, you know, and that's where like all the research
that we're doing is kind of basically distilling down
the physiological and psychological variables
that matter the most.
When I say physiology, I mean like circadian behaviors,
recovery behaviors, training behaviors, right?
I kind of bucket them really loosely
on the psychological side,
kind of the core psychological needs,
purpose, self-efficacy, control,
like understanding how these variables
move around our internal status. And how they relate to each other, the psychological aspect
and the performance aspect. Yes, how they play off one another. They're just, they're interconnectedness.
Which I think is so exciting about what you do because, you know, having a psychiatry background
and then having this big data, I mean, you must, I mean, I'd be like a little kid if I was you.
No, it is. We try to pre-register, so we, we try not to go in and just cherry pick,
right? Like, you know, sometimes we're doing just exploratory study. We always call that out. Um,
if we ever publish any of that type of exploratory research, but we pre-register on open science
framework, every study that we do, we follow the scientific method, right? So, and we do,
we do retrospective analysis which we
pre-registered well we're going to look at ice baths have some insight around that if you do
oh yeah definitely this is hot off the press please don't stop me from doing the cold plunge
because i will chop this podcast off right here because it's my favorite thing i know i know
she's gonna i'm gonna go my cold plunging routine
a tiny bit but we could still we could do the end of one analysis but um okay
yeah um but i don't even know what were you saying shit i got i got thinking about the ice
bath yeah let's go in let's go into the ice bath because when she got here today i was actually in
an ice bath you were you were um yeah i call it my drug of choice i mean it's just like three
minutes and i go in there.
I only do it at 50, 51 degrees was what it was today.
So I don't believe in the colder is better, longer is better.
Um, I think there's, there's a place that you can take hormetic stress to the point
where, you know, you're overdoing it.
Um, you know, not 90 minutes in a 200 degree sauna is way too much.
You know, you're baking your brain.
Um, I think the really really really cold ice baths
for prolonged periods of time can actually take the hormetic stress into a place there it's that's
non-beneficial oh it is but i love this hear what you have to say about yeah so you know this is not
oh i was just talking about pre-registration um i was kind of going off yeah you guys
so just to close that yeah we you know we really we really um tried it so basically
what open science framework is
and what pre-registration is basically you put your hypotheses out in the world. You say exactly
how you're going to analyze the data. You know, you just literally put everything you're going to
do out in the world before you even look at the data. Okay. So, um, yeah. So anyway, we wanted to,
it's important. So you don't have an end destination in mind and you sort of
because that's the other thing that i learned you know in statistics is you know you tell me where
you want to go and we don't care what the result is many people we don't care what the result is
right we're just agnostic we're looking at the data we're trying to prove it's the best hypothesis
about data okay so moving into bursting my bubble about cold punching. Yeah. So, so ice bath. So this is really interesting. So, you know, I think
this is a very, very big data set, right? There's lots of people on our platform who ice plunge
very consistently. So what we did is we bucketed the group into high fit and low fit.
Okay. So folks who are high fit, we just looked at normative values. So we're just, you know,
heart variability, resting heart rate, BMI, like all that just basically kind of created.
Yeah. And just like a high fit group and a low fit group. And then we looked at the frequency
of their ice bath. So what's great on whoop is you basically can record when you start an ice bath
and when you ended ice bath. So we have these really nice timestamps. So some people forget to stop it. And it ends up, you know, being like 12 hours. Exactly. So those we had to throw out obviously,
because those aren't, those are not going to be accurate, but we could actually go back and tell
them the data. Um, we did this for some, but then it got too much. Um, we can actually see when it
ended because there's very clear, um, responses, physiological responses when you're in the ice
bath. But, um, but anyway, we had plenty of
data in both this high fit and low fit group. And basically what we saw, the fitter you are,
the more you ice bath, the less good it is for your recovery when you're ice bathing more than
three times per week. Really? We see a diminish. Uh, we see a, uh, uh, decline and your markers of
recovery after three days of ice bath and your ice bath is more effective on days that you are
not exercising. Then going back exercise, of course, is a hormetic stressor as well. So you're
laying a layering on top, just all the stress that's happening during the day, the stress of
your workout, the stress of the ice bath, it has a deleterious effect on markers of recovery.
Wow.
So, but for the low fit people, it's only beneficial.
Really?
And potentially low fit people are not stressing their body as much.
So they get big return on markers of recovery from engaging in ice bath.
Very interesting. Because right now I'll do three minutes, probably five days a week, sometimes six days a week if I'm home.
I do three minutes, 50 degrees, and then I dry off, I warm up, I do 10, 12 minutes on the treadmill.
And then I always feel like I have an amazing workout after that, an all-ice after the workout. Um, cause I don't want to, I don't want to shut down the normal repair process,
but again, I'm not tracking that. So, um, and this is completely anecdotal. This is just how I feel.
Yeah. Um, and I, and I sort of have this mental thing in my head where, you know, I wake up in
the morning and I don't, as I exit my bathroom, there's the ice bath. And then I come down the hallway to the coffee maker and I make myself do an ice bath.
Yeah. Just, just, just cause I want to do something hard. I know, I know. It's so good for that.
And it doesn't get easier. But maybe what I'll do is, is, um, start to measure and track these
and maybe back off the number of times. Yeah. But potentially, you know, just again, you know,
this is, is we, we have a quite a bit
more to look into the data set to the timing of the ice plunge relative to exercise we don't
necessarily know that um and then we we need to dig into sleep as well but the results it looks
like ice bath regardless of when you do it is sleep promoting which was really neat yeah because
i you know i would have said so sleep promoting, which was really neat. Yeah, because I, you know, I would have said...
So sleep promoting should be good for recovery, right?
Sleep promoting is good for recovery, yeah.
And then, but the fact that the more deconditioned people,
like there was an amazing study by Otto Warburg
on multi-step oxygen therapy,
and he basically took deconditioned,
mainly geriatric um patients
and you know since he couldn't put him on a treadmill and since they obviously weren't
going to go outside and most of them have even a hard time walking and what he did was he put
them in a sauna and used the sauna to raise their heart rate and while their heart rate was elevated
he ran high concentrations of oxygen in the study he, he did it at 50% O2 and ambient
air is about 21% O2. And the amount of improvement in fitness was incredible just from marginal
increases in their heart rate and exposure during that timeframe to oxygen.
It mimics exercise.
Yeah. It mimics exercise. So I have two elderly parents. My father's handicapped from a scuba diving accident.
Oh, no.
Fully cognitively functioned, but he has motor coordination issues.
He got hit in the rear part of his brain by the prop of a boat.
So he's had motor coordination issues for 30 years on the left side of his body.
And then my mother had dual knee replacements. And so she's not highly mobile.
So I got them a sauna. I do a lot of other stuff. I have my cerebral lysine peptides and other
things, but I got them in a sauna. And so four days a week, they do 20 minutes in the sauna and
I run a nasal cannulas of oxygen in there. the improvement in their mood, emotional state,
chattiness, if that's a measure, you know, just, you know, my, my dad says mom's memory is better.
Mom says dad's memory is better. I mean, they're, they're a lot more active now. It's just,
it was astounding how this little variable made such a noticeable change in there.
I love it.
So exciting.
So, you know, there's hope even for the decondition.
But going back to your point of these ice baths for decondition
or what you were calling the non-fit group.
Yeah.
I mean, it could be a way to, you know, when I think about it,
it's just like a way to kickstart maybe becoming more active, right?
Because all of a sudden you're like getting. Well, get getting like, Whoa. Yeah. I mean, you know,
and, and, and, you know, we're seeing it improve, you know, reducing heart rate and increasing
heart rate variability, which should in theory, increase capacity, which should give you more
energy to exercise. And so it could be a way to jumpstart potentially. This is awesome, Christian.
So for my audience, um, that's really interested in
this podcast, where can, where can they find out more about you? Yeah. Instagram. Yeah. So I, I,
I joined Instagram a few years ago, so I try to, have you written a book? I'm, I'm, I have a book
deal. I'm writing one right now. It's going to be out in May. Okay. So I'm going to, I'm going to
put the, can they pre-order? Um, not yet, but I will certainly let you know when, when I'll give you some available,
but I appreciate that.
Yeah.
So yeah, Kristen Holmes, um, 2126 on Instagram.
Okay.
I post on LinkedIn.
Um, and I don't have like this, a big old team or anything.
So it's just me.
That's okay.
We love organic content.
You know, my audience is very authentic.
Um, yeah.
So I just, uh, yeah, it's really low budget.
Um, not produced at all. No budget. Yeah. So I just, yeah, it's really low budget. It's low budget.
Not produced at all.
That's in no budget.
Yeah, no budget.
But, you know, I really try to get a lot of these insights out there.
And, you know, I've been very passionate about circadian health and sleep and recovery and training.
You really woke me up.
I'm going to go deep down the rabbit hole.
I mean, you really, I knew that circadian health was important.
I do the sunlight every morning, but I did not realize that the biggest
variable, you know, I don't have alcohol. I don't eat, you know, within a window.
And those things, of course, you know, like, yeah, I mean, alcohol and caffeine are going to
shift. Yeah. EMF tent. I did. I'm next level with the sleep in there. I mean, the amount of
modalities in this fortress of yours is just, it really is a lab.
Yeah.
Yeah.
It's a lab.
But I end every podcast the same way by asking all my guests the same question.
There's no right or wrong answer to this question.
And that is, you know, what does it mean to you to be an ultimate human?
I think just being able to wake up and live my values with joy and energy.
Wow. Live my values. That is a live my values. That's a really good one. I might steal that one.
I like that. Well, thank you for coming, Kristen. I'm definitely going to have you back. I mean,
your journey is one that's kind of ongoing. So, you know, I'd love to see where you are six months
from today, 10 months from today, because it really is exciting what
big data can bring to us and to have your background as a professional athlete, as a coach,
you know, as you know, with a, with a doctorate in psychiatry, now looking at the data in ways
that are going to practically be applied to human beings. I can't wait to continue to follow your
journey. I appreciate that. Thanks for having me. Thanks for having me, Gary. Thanks for being here. Thanks for having me.
Thanks, Gary.
All right, guys, and that is Just Science.