===== 📉 Statistical Buffet: Definition =====

**Statistical buffet** is a critical term used to describe a study that includes an **excessive number of statistical tests, subgroup analyses, or P-values**—often without:

  * Clear primary endpoints,
  * Correction for multiple comparisons,
  * Clinical coherence or actionable insights.

It reflects an approach where data is presented like a buffet: **plenty of options**, but **no structured narrative or scientific digestion**.

Warning signs of a statistical buffet:
  * Dozens of unadjusted P-values,
  * Predictive factors mined from post-hoc analysis,
  * Lack of discussion on effect size or clinical relevance,
  * Tables overloaded with numbers, but no patient-centered meaning.

It’s the academic equivalent of **throwing data at the wall and seeing what sticks**.