This acts like there isn't just as much subjectivity in frequentist analysis. Ever run a power analysis? The same p value with an underpowered study can be more

This acts like there isn't just as much subjectivity in frequentist analysis. Ever run a power analysis? The same p value with an underpowered study can be more misleading, so you still need some subjective inputs to your design. This is a subjective frequentist fix for a real issue. 80% power with 5% significance with a presumed effect size of x contains three totally subjective numbers (and one reeeeeally subjective one)? They are crucial in the same way, and subjective in the same way. You need a lot more than a p-value to do frequentist science, and it's not that objective. What moved me over was the practical learning that your results often aren't that sensitive to your prior and that dependence is usually easy enough to characterize.