### Lies, damn lies, and a Dutch trial

In CS70, the Berkeley freshman/sophomore class on discrete mathematics and probability for computer scientists, we conclude the section on probability with a class on how to lie with statistics. The idea is not to teach the students how to lie, but rather how not to be lied to. The lecture focuses on the correlation versus causation fallacy and on Simpson's paradox.

My favorite way of explaining the correlation versus causation fallacy is to note that there is a high correlation between being sick and having visited a health care professional in the recent past. Hence we should prevent people from seeing doctors in order to make people healthier. Some HMOs in the US are already following this approach.

Today, a post in a New York Times science blog tells the story of a gross misuse of statistics in a Dutch trial that has now become a high-profile case. In the Dutch case two other, and common, fallacies have come up. One is, roughly speaking, neglecting to take a union bound. This is the fallacy of saying 'I just saw the license plate California 3TDA614,

Feynman has written eloquently about both, but I don't have the references at hand. In particular, when he wrote on his Space Shuttle investigation committee work, he remarked that official documents had given exceedingly low probabilities of a major accident (of the order of one millionth per flight or less), even though past events have shown this probability to be more of the order of 1%. The low number was obtained by summing the probabilities of various scenarios, and the probability of each scenario was obtained by multiplying estimates for the probabilities that the various things that had to go wrong for that scenario to occur would indeed go wrong.

Christos Papadimitriou has the most delightful story on this fallacy. He mentioned in a lecture the Faloutsos-Faloutsos-Faloutsos paper on power law distributions in the Internet graph. One student remarked, wow, what are the chances of all the authors of a paper being called Faloutsos!

My favorite way of explaining the correlation versus causation fallacy is to note that there is a high correlation between being sick and having visited a health care professional in the recent past. Hence we should prevent people from seeing doctors in order to make people healthier. Some HMOs in the US are already following this approach.

Today, a post in a New York Times science blog tells the story of a gross misuse of statistics in a Dutch trial that has now become a high-profile case. In the Dutch case two other, and common, fallacies have come up. One is, roughly speaking, neglecting to take a union bound. This is the fallacy of saying 'I just saw the license plate California 3TDA614,

*what are the chances of that!'*The other is the computation of probabilities by making unwarranted independence assumptions.Feynman has written eloquently about both, but I don't have the references at hand. In particular, when he wrote on his Space Shuttle investigation committee work, he remarked that official documents had given exceedingly low probabilities of a major accident (of the order of one millionth per flight or less), even though past events have shown this probability to be more of the order of 1%. The low number was obtained by summing the probabilities of various scenarios, and the probability of each scenario was obtained by multiplying estimates for the probabilities that the various things that had to go wrong for that scenario to occur would indeed go wrong.

Christos Papadimitriou has the most delightful story on this fallacy. He mentioned in a lecture the Faloutsos-Faloutsos-Faloutsos paper on power law distributions in the Internet graph. One student remarked, wow, what are the chances of all the authors of a paper being called Faloutsos!