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The Rao-Blackwell theorem states that if is sufficient and is an estimator with finite variance, then
has the same expectation as and no larger variance; it preserves unbiasedness. The tower property of conditional expectation gives
The law of total variance gives
Sufficiency ensures that is a statistic whose definition does not depend on the unknown parameter. The inequality is strict exactly when the conditional variance is positive with positive probability.
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