We put forward an adaptive alpha which changes with the amount of sample information. This calibration may be interpreted as a Bayes/non-Bayes compromise, and leads to statistical consistency. The calibration can also be used to produce confidence intervals whose size take in consideration the amount of observed information.
Keywords: Bayes-non Bayes compromise; Posterior Probability Principle; Significance Principle; adaptive confidence level; p-value calibration.