The heuristics I'm interested in for that section aren't heuristics that are merely efficient, but heuristics that sacrifice accuracy for computational cheapness.

Ok, I see what you mean. Sounds like the difference between a bad bias and a good bias is whether the person realizes they're sacrificing accuracy, and is consistent in dealing with the consequences of that.

Or maybe a better way to put it is: bad biases lose accuracy, good biases only lose precision.