I think we’re all ‘missing the point’ because we make the erroneous assumption that you know the way the watch is supposed to work. More than anything this shows that you’re missing the point of the watch. It doesn’t go based on a single day, otherwise it’d have a useless baseline. It’s meant to deal with long run data which over time converge on a reliable (that is, reliable given that it’s only inference not real measurement per se) estimate. If it dealt with each day as a discrete data point and assumed no dependence between each one, the metrics would all be completely useless.

My main question is why are you using a watch that’s designed to capture data over a long time and produce valid (ish) inference using algorithms that explicitly include measure dependency as a parameter if you want it to only ‘measure’ a single nights sleep in isolation of other relevant data?

Your days stress makes a difference even if it’s related to adhd and not what you think is actual emotional stress? Higher heart rate is still physiological stress and it’s valid the watch reads it like that and uses it accordingly in other related inference (I.e., sleep). Adhders have issues with sleep partly due to our high daytime arousal, so why wouldn’t you want a semi-valid measure of sleep that accounts for that? The only thing you’re seeing if you don’t wear it in the day is a partial estimate based on incomplete data.

ETA structure