Check out the title: abuse of frequentist statistics. Yes, at the end, I argue from a Bayesian perspective, but you don't have to be a Bayesian to see the structural problems with frequentist statistics as currently taught to and practiced by working scientists.

I agree that frequentist statistics are often poorly taught and understood, and that this holds however you like to do your statistics. Still, the main post feels to me like a sales pitch for Bayes brand chainsaws that's trying to scare me off Neyman-Pearson chainsaws by pointing out how often people using Neyman-Pearson chainsaws accidentally cut off a limb with them. (I am aware that I may be the only reader who feels this way about the post.)

(Does the fact that when I saw the sample size the word "underpowered" instantly jumped into my head count as evidence that I am competent?)

Yes, but it is not sufficient evidence to reject the null hypothesis of incompetence at the 0.05 significance level. (I keed, I keed.)