I think my main criticisms are: - p-values are poorly understood (and unsatisfying). - people are not doing power analyses before starting experiments. Which is more of a people misusing Frequentist statistics versus an inherent flaw, but it is a persistent problem.

What do you find unsatisfying about p-values? Or do you just mean the arbitrary cutoffs used when hypothesis testing? Agreed that more people should do power analysis.

Confidence Intervals are nice to the extent they make the end user have to consider the degree of uncertainty, but credible intervals and posterior distributions do much the same thing.