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Once again, a person who wasn't killed is your evidence that "a bunch of people" were killed. You genuinely don't recognize how silly that is? John Hinckley almost killed Reagan, "so we can be fairly sure" he killed a "bunch" of other presidents.
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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?


>So imagine a censored random variable... D is a continuous variable, a damage level.

This is not a real thing, it's just something you made up. You can see this obviously if you transfer this to another domain. For example, if I get a paper cut at work do you think that means I'm partially dead? Do you think that singular example of a paper cut means "we can be fairly sure" that "a bunch" of my coworkers have died from paper cuts?


Censored variables are a very real thing and this model is perfectly legtimate. This is how you do maths with conditional probabilities.

It's ad hoc, but so is all maths, and all reasoning.

A man with a paper cut is at D=0.9999 or more. You probably have more noise from variations in sleep or eating or colds. But people don't end up at D=0.17 just randomly. El-Masri was in danger of dying. The fellow was actually tortured.

There's also no censorship in the example of the paper cut. It also isn't possible to infer much from a something like that E[D|some positive condition]=0.9999, so even if there were censorship your example with a small scratch doesn't allow the sort of argument I gave in my previous comment. My previous comment specifically relies that you have a censored sample D~P(D|something that you'd expect would make D large) and then finding that this D is small.


It turns out though, that this doesn't matter. There's actually a list of people who are known to have been tortured to death in these places on Wikipedia.

Still, I think there's a point to this statistical reasoning: Assange could have made it at the time, and been correct, and thus we have a strong argument for his duty to act under Icelandic law.




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