Dr. Michael Grandner

Yeah, that's the big one.

I think the biggest misconception is that accuracy matters.

It's not about are they accurate or not accurate to relative to what accurate relative to your memory of the night or accurate relative to the physiology.

Those predict different things.

And even if it is accurate relative to the physiology, does the number give you a useful metric that you can actually use to do anything with it?

What are you going to do with that information?

And if you're going to make decisions based on it, you better know what it is.

And I feel like a lot of companies, like they're stuck in a bind because if they're too transparent with their algorithms, other people are just going to copy it because you can't patent an algorithm.

So what are you going to do?

How do you maintain your competitive advantage?

And...

I mean, that's a line to walk.

And as these companies, they're just going to try and come up with better metrics and better metrics.

As a researcher and as a scientist and as someone who cares about public health, who has family members who ask me what to do with this information, give me the data I need to make choices, to make an informed choice of what to do with this information.

So that's probably a big misconception is that these numbers are what they say they are.

Excellent question.

So another saying that I attribute to a colleague of mine, Amy Athey, who's a sports psychologist, who's a colleague of mine, and she's helped me a lot on a lot of sleep stuff.

And

And I was explaining this wearable stuff to her.

And, and as we were developing our own trainings with this, and she came up with this, the, this way of thinking about it as a bathroom scale is not a weight loss program.