Regulators set welfare thresholds constraining experimenters' designs, making Neyman allocation optimal under normal priors and reducing sample sizes over 48% in calibrated simulations compared to classical approaches.
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Designing Persuasive Experiments
Regulators set welfare thresholds constraining experimenters' designs, making Neyman allocation optimal under normal priors and reducing sample sizes over 48% in calibrated simulations compared to classical approaches.