An advanced undergraduate sequence exploring how bias, statistical paradoxes, and ethical considerations impact data analysis. Students learn to identify sampling bias, navigate Simpson's paradox, avoid p-hacking, audit algorithms for fairness, and communicate uncertainty responsibly.