On the one hand, applying valid generalizations is not bias. On the other hand, when dealing with individuals, one rarely has to rely on generalizations. On the

On the one hand, applying valid generalizations is not bias. On the other hand, when dealing with individuals, one rarely has to rely on generalizations. On the gripping hand [1], treating individuals fairly can look like bias when iterated over a large enough sample size. The solution: be rigorous about treating individuals fairly, be willing to apply valid generalizations cautiously and only when necessary, and remember that seemingly biased results might simply be reflecting real differences between groups. (This last point can be grokked by meditating, Zen koan–like, on the question "Are women underrepresented in the NBA?"—a question to which both the answers "yes" and "no" are defensible.) [1]: http://catb.org/jargon/html/O/on-the-gripping-hand.html http://catb.org/jargon/html/O/on-the-gripping-hand.html