So imagine a censored random variable.

Let's say that D is a random variable representing whether a certain person in one of these black sites is dead due to mistreatment. It's not so simple that D=0 if the guy lives, D=1 otherwise, D is a continuous variable, a damage level.

You can't sample from D ~ P(D) because people aren't releasing such information; and we know this, because when El-Masri sued the US he was prevented from doing so by means of the State Secrets doctrine and it was argued that whether he had been tortured and by whom was a state secret. Consequently what we actually have samples of is P(D|released) and I think P(D|released)=P(D|innocent,recognized as innocent,slightly lucky). So if we have D ~ P(D|released) where it turns out that we have observed a realization of that with D = 0.17, do you think there are only a few outcomes where D=0, when taking into account that E[D|innocent,recognized as innocent] should be much larger than E[D], and when taking into account that P(released) is really small, something like 10^-4 or 10^-3?