Here comes the promised second installment to my recent post on anti-doping in which I argue that we should pay a lot more attention to false negatives. Here's the last paragraph:
For me, the difficult question in the statistics of anti-doping is whether the current system is too lenient to dopers. If the risk of getting caught is low, the deterrence value of drug testing is weak. In order to catch more dopers, we have to accept a higher chance (than 0.1%) of accusing the wrong athletes. That is the price to be paid.
Note that this post has been contributed to the Statistics Forum (link), which is a new blog sponsored by the American Statistical Association and edited by Andrew Gelman, and is reprinted here. You can click on the link above or scroll below to read the full post.