Statistical Fallacies

Identify the most dangerous statistical fallacies that lead to wrongful convictions, failed policies, wasted research funding, and medical harm. These advanced scenarios test whether you can spot subtle errors involving Simpson's paradox, the prosecutor's fallacy, multiple comparisons, selection bias, and expected value traps that regularly fool judges, journalists, scientists, and executives.