Well the first thing that I learned today was that to do a good bootstrapping estimation, you must bootstrap n*(log n)^2 times. Then you can find a good estimate of the true population variance as well as the variance of the statistic in question.
Apparently the book I was reading about bootstrapping online is in the Astro Library. And the print version hopefully won't have the Google Book Preview's random missing pages. So I'll head over there and check it out as soon as it stops raining, which is starting to seem like never.
The rest of the day was spent obnoxiously debugging my code, which randomly refused to make a FITS file of the data I wanted.