Statistically more powerful

Why is a repeated measures design statistically more powerful?

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Repeated measures accounts for differences between groups, which reduces the error term. This, in turn, increases power.
Variance between subjects in the same group is considered error variance. This concept in repeated measures increases power.
Repeated measures analysis accounts for individual differences across the experiment. This reduces the error term, which increases power.