Learning goal: Conditional expectation gives each bin a mean. More information reduces expected residual variance at population level, but finer bins have fewer samples.

Narrow or sparsely sampled bins can give jagged means or empty bins. Finer conditioning need not reduce every particular bin's variance, and estimation may become noisier.