We’ve already looked at the Multi-Ethnic Study of Atherosclerosis (MESA) dataset—an absolute treasure trove of sleep data, available from the NSRR at sleepdata.org—once, through the lens of sleep duration. But what about other dimensions of sleep health? After all, sleep regularity may be just as important as sleep duration in a number of contexts. We …
We’re back! If you’re just now tuning in (check out part one here), the title pretty much says it all. We take sleep-related memes we find online, we use them as an excuse to talk about sleep and circadian science, and we rate ’em. Meme #7 Good news: If this is you, it might not …
Imagine you’re on a swing on a playground with a friend standing behind you. This friend is not a jerk, so they’re going to push you when a normal person would push you on a swing—right when you’re at the end of your backwards motion and ready to start moving forward again. They, like a …
Back by popular demand, here is part two of the “We Rate Sleep Memes” blog series. If you’re just now tuning in (check out part one here), the title pretty much says it all. We take sleep-related memes we find online, we use them as an excuse to talk about sleep and circadian science, and …
So you want to help shift workers feel better—sleep better, be safer, have fewer of the long term chronic health problems that go hand in hand with shift work. How do you do it? Where do you start? As some of the most circadian-wrecked people around, shift workers have been the topic of no small …
My friend sent this to me the other day: “If I go to bed at 10:30 pm, I often wake up at 4:30 or 5:30 am and can’t go back to sleep. But if I go to bed at 1:00 am, I fall asleep easily and can sleep until 9:00 am. Throughout the work week …
One of the things we’re interested in as scientists is what longitudinal, large-scale data collection can tell us about sleep. Along those lines, one of our research projects involves looking at how models of circadian rhythms, as well as different sleep regularity metrics, can help us understand different outcomes for different folks. And as part …
When by Daniel H. Pink Another month, another Book of the Month! Starting with its title, When by Daniel Pink hones in on just how simple the idea of timing things better really is. The question of “when” is in the same fundamental category as where, why, how, and what. Yet, as Pink notes: “We …
Algorithms are really easy to mess up. Take your pick for how: overfitting to training data, having bad training data, having too little training data, encoding human bias from your training data in the model and calling it “objective”. Feeding in new data that’s in the wrong format. Typos, subtle typos, nightmarishly subtle typos. Your …
NOOOOOO!!!! Noooooooooooooooooooooooo!!!!!! (To hear our actual stance on permanent DST, check out this blog post. Short version: we love getting rid of the seasonal time change, as long as we end up on permanent standard time, not permanent DST.)
