Kristen Holmes
đ€ SpeakerAppearances Over Time
Podcast Appearances
to get a drug or a 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.
to get a drug or a 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.
to get a drug or a 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. 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.
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. 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.
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. 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.
And I think sometimes when people are approaching wearables, like you can go pretty deep down the rabbit hole and whoop.
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 yeah as deep as you want to go you you can go so for the non-professional athlete you know for is someone that is genuinely interested in 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
right as much as you yeah as deep as you want to go you you can go so for the non-professional athlete you know for is someone that is genuinely interested in 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
right as much as you yeah as deep as you want to go you you can go so for the non-professional athlete you know for is someone that is genuinely interested in 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.
Yeah, I mean, I think the metrics that I pay most attention to, sleep consistency, which we talked about.
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.
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.
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, you know, 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.
We see that, you know, 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.