Lecture
This lecture covers the various categories of scientific misconduct, including fabrication, falsification, and questionable research practices. It delves into learning goals such as p-value optimization, critical questions of statistical analysis, and how to spot issues with conclusions. The instructor discusses examples like equating cause and correlation, hidden factors, and the misuse of statistics in real-world scenarios.