The concepts of bias and variance are simple ones. Bias is a systematic difference, either between a measurement method and the true value or between two measurement methods; variance describes differences that are random, and average to zero when repeated measurements are averaged. Like many simple concepts, they become slightly more complicated when one looks closely. In particular, what is bias and what is variance may depend quite critically on the population over which we are averaging.

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