"What do R2, laboratory error analysis, ensemble learning, meta-analysis, and financial portfolio risk all have in common? The answer is that they all depend on a fundamental principle of statistics that is not as widely known as it should be. Once this principle is understood, a lot of stuff starts to make more sense."
Read it!A critique of dynamite plots and suggestions for better alternatives.
Read it!An in-depth analysis of why certain types of tests break more frequently than others, along with suggestions for creating more robust pipeline tests.
Read it!