In clinical research, few problems cause more hidden damage than confounding. It distorts treatment effects, creates false associations, and leads investigators to conclusions that are statistically valid, but scientifically wrong. What makes confounding especially dangerous is that it often remains invisible until long after the paper is published. Fortunately, you do not need advanced modeling to detect it. Many of the most powerful warning signs of confounding appear long
