3 ms·

I did something similar for myself based on TagTime [1] from the same folks who made beeminder. I'd suggest not enforcing a minimum spacing between samplings.

I did something similar for myself based on TagTime [1] from the same folks who made beeminder. I'd suggest not enforcing a minimum spacing between samplings. The minimum spacing tends to push samplings towards the ends and center of the day. It also gives the randomness memory. I noticed when I was sampling myself, my behavior would subtly change after a sampling when I knew I wouldn't be sampled for a little while. Although, I don't think this would cause a meaningful problem in your context. Thanks for the writeup! Very interesting.

dreeves 12y ago
Thanks for pointing this out! In addition to not wanting a minimum, it's also bad to fix the number of samples. Then you know that the more you get sampled the less likely additional samples are. Might not matter for some applications but, as you say, it can subtly affect your behavior. The right way to do the sampling is as a Poisson process, ie, where the gaps between samples are drawn from an exponential distribution. Details: http://tagti.me http://tagti.me