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Is it true that we can always increase statistical power/estimator precision by increasing sample size?
Suppose a test has ~$16.67\%$ power to detect some arbitrary but fixed effect size when sample size is $3$, and as we increase size by adding IID random observations to the sample ${4, 5, 6, 7,...}$ ...
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