I love how they pretend I'm not consistently schooling them on stats when they all know it's true. Consider some of my favorite howlers by the stats bros:

(1) Not knowing X with a bar over it stands for the sample mean.

(2) Thinking N is a statistic.

(3) Thinking you can pick the statistical test by somehow observing the parameter distribution, but that you shouldn't pick it by the data structure.

(4) A sample mean can't be a test statistic! <I read the next sentence in the textbook, "In this case the sample mean is the test statistic..."> <radio silence>

(5) Claiming based on nothing that you can't test coefficients on interaction terms with t or z tests.

(6) Quoting from a paper from 1908 that doesn't mention test statistics in a debate on the definition of test statistics.

(7) Giving an example of a hypothesis test about the sample mean.

Those just come to mind. Anyone else have some favorites?