[dudefromdayton]

Alas, I got bit by that old dog, numerical instability. When I run 1,000 hypotheses, I get the much higher figure I reported. 10,000 brought me a lot closer, and 100,000 has me at 1.70 variance (and presumably moving in the direction of 1.69).

These tests take a lot longer than they might, because I solve the line equation with w-a-a-y too many CPU cycles. The upside is that the same code works with several other hypothesis sets to meet a short-term need.

I feel in general like I've faced a couple of numerical stability challenges in very recent time, and it's beneficial when students have to deal with it. I imagine there might be more ahead.