Dr. Michael Grandner

Am I, is it actually impairing my ability to perform or not?

Or is it look like it is because of how the algorithm's using heart rate data?

I don't know because none of it's transparent and forget the transparent.

I know Google did a study with on the, that was a Google Fitbit before it was Google, I think, where they had their sleep score and they correlated the actual global sleep score to an, to outcomes.

And they presented the data at a conference.

as a global thing.

I don't think they ever really followed up with it, but I don't know that, that, that, that that's even that baseline level of, is this correlated with anything remotely useful is a step that, I mean, that, that they did, but I don't know that anyone else has ever really done that much.

So as the literature is coming out, as more and more people are using these metrics and seeing what's it related to, what's it not related to?

What does it predict reliably?

What does it predict unreliably?

What does it not predict at all, even though it thinks it does?

As a researcher, you give me a number, I don't know what to do with it unless I understand how it works.

So I guess what I'm saying is I don't trust these numbers almost at all.

I almost 100% of the time completely ignore them because they don't give me any information I can use because I don't know what they mean.

And at worst, they're made up.

But at best, they're really good educated guesses made with assumptions that I don't totally know, so I don't know what to make of it.

I mean, I'm trying to be fair and not throw them all under the bus.

They probably aren't useless.

They probably have value and they're probably not all incorrect either.

It's just you gave me a number and I don't know what to do with it.