Selection Bias: How It Can Fool You and Why It Matters

The video explains selection bias, using Abraham Wald's analysis of aircraft armor during WWII as an example. It highlights how biased samples can lead to incorrect conclusions. The Simpson Paradox is also discussed, showing how trends can disappear when data groups are combined. The video concludes with a challenge to identify selection bias in everyday situations.

What new insight or understanding did you gain from this video?