Scott Alexander dissects a hoax chocolate study to critique common misconceptions about nutrition science, study design, and statistical methods. Longer summary

Scott Alexander analyzes a viral study claiming chocolate aids weight loss, which was revealed as a hoax designed to expose poor science journalism. He critiques four common but incorrect conclusions drawn from this incident: that people were gullible for believing it, that nutrition isn't a real science, that studies always need high sample sizes, and that p-values should be eliminated. Scott argues that there is previous research supporting chocolate's health benefits, that nutrition science uses multiple study types to build evidence, that sample size importance depends on the effect being studied, and that p-values have their place in research. He agrees with the fifth conclusion that science journalism should be trusted less, but notes that some sources like Wikipedia and specialized blogs are more reliable. Shorter summary