Dr. Rhonda Patrick

What data can they use and how can they make it actionable?

So if let's say someone is like their heart rate isn't dropping like it's supposed to or, you know, like what sort of things can people do to try to help with that?

What about, I know we talked about the accuracy of the sleep state, being able to measure sleep stages anywhere between maybe 60 to 80%, which isn't terrible.

No, it's not gold standard.

But, you know, let's say that someone is, we're not just talking about a night, but we're talking about weekly, like month, like we're seeing a consistent pattern of not getting enough either deep or REM sleep.

Well, this kind of leads into the next question, which is the pitfalls of these sleep tracking devices.

And I've known several people that have fallen into this pitfall, and that is obsessing over their sleep data, which may not fall into what they want it to be or think it should be.

And that actually...

causing worse sleep because they're just obsessed with it.

And I've heard you refer to this as orthosomnia.

It sounds much like the, the stimulus, negative stimulus, right?

Let's talk about making these numbers better.

And I know that we've kind of talked, we've touched on it a little bit.

So you tell me like if there's more information that you want to share about it, but like using sleep as a cognitive performance enhancer.

Yes.

You talked a little bit about this.

Is that harder for younger adults?

Because they're, I mean, at least I know as you hit adolescence, your circadian rhythm is later.

It shifts later.

So you're, I mean, I go to bed at midnight instead of.