>"The P-value is the smallest relevant value of α given your data (i.e., the smallest probability of making a Type I error and deciding there is an effect when

>"The P-value is the smallest relevant value of α given your data (i.e., the smallest probability of making a Type I error and deciding there is an effect when there isn't one)." Nope, the p-value calculation assumes there is no effect. How can it be the probability there is an effect?