That's what I was trying to get at in my post, but I wasn't being very clear.
However, if you randomize over multi-day blocks your data points go down. Once you're randomizing whole weeks and looking at parameters with a high standard deviation, it might take impractically long to collect meaningful data.
I'm starting to think that long several week blocks are absolutely necessary for drug or lifestyle self-experimentation, because the effects once tolerance is developed are usually different from naive effects. For a drug or lifestyle change that's intended to improve quality of life or performance, the effect of long term steady use is usually what you're interested in.
However, if you randomize over multi-day blocks your data points go down. Once you're randomizing whole weeks and looking at parameters with a high standard deviation, it might take impractically long to collect meaningful data.
Que? If I'm randomizing week-blocks and I'm measuring my sleep data each night, and I have 7*4 nights on and 7*4 nights off, don't I have as many datapoints as if I randomized 56 individual nights on and off? I'm not testing solely at the beginning or end of each block. Even if it takes a full 6 days to reach steady-state, I still get signal from day 7.
I'm thinking that it should be possible to decide when to sleep based on reduced performance.
Can anyone suggest a tool for that purpose? Perhaps some reaction time testing software?
I guess I would have to track myself during the day to make a baseline, which is fine.
But without some sort of test I end up staying up way pass effectiveness, which is a waste of my time.
-Robin