Not for the first time, I was inspired by listening to the excellent The Studies Show podcast . In their 26 November edition, Tom Chivers and Stuart Ritchie introduced collider bias, which is a horrible statistical anomaly that can make it seem that a study shows something entirely different from reality. What's particularly worrying is that, as the podcast demonstrates, many scientists aren't aware of this potential issue. I had assumed collider bias would be something to do with the kind of huge statistical analysis necessary to interpret what's going on in a piece of equipment like the Large Hadron Collider at CERN - but in reality the 'collision' in question is simply down to the way a pair of arrows point to the same location on a kind of flow diagram. What this statistical anomaly can produce, though, is the kind of result we love to hear (and scientists love to find) - results that make you go 'Huh? That's surprising.' Examples given included that...