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Date: 2011-08-01 12:44 pm (UTC)no subject
Date: 2011-08-01 12:56 pm (UTC)(It also puts me faintly in mind of the practice of loading one rifle with blanks when organising a firing squad.)
no subject
Date: 2011-08-01 01:03 pm (UTC)I'm interested that it seems to be working.
It also creates ... weird legal implications. It's probably best for the government to turn a blind eye. But with the conditions given, if someone says "yes", there's an 80% chance they're guilty. That's not beyond reasonable doubt, but would it suffice for a balance-of-probabilities civil judgement? We normally don't take someone's unsupported confession as sufficient evidence, but I don't know if someone could try...
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Date: 2011-08-01 01:14 pm (UTC)Don't confuse P(A|B) with P(B|A)! If the real proportion of guilty people is p, then 5p/6 of people will truthfully answer yes (that includes the ones who rolled a six and were guilty) and (1-p)/6 of people will falsely answer yes. So out of all the yes answers, the proportion of guilty people is 5p / (4p + 1), which varies monotonically with p, can itself be anything from 0 to 1, and is only equal to 80% if p=4/9.
I can see your reasoning for the 80% figure: if someone says yes, we know they didn't roll a 1, therefore there are five remaining equiprobable things they might have rolled and four of those five mean they're guilty as hell. The flaw is in the word "equiprobable": because rolling a 6 changes your probability of saying yes, it follows that if all you know about someone is that they said yes, it's no longer equiprobable that they rolled 2, 3, 4, 5 or 6.
no subject
Date: 2011-08-01 01:49 pm (UTC)It's still high-ish, but less than half (if I did the revised calcualtion right, and the percentage of people who actually said yes was accurately deduced and reported in the article)
no subject
Date: 2011-08-01 02:14 pm (UTC)I would add that we can get a point estimate of p from sufficient samples using:
Prob (Yes) = (1+4p)/6
and
Prob (No) = (5-4p)/6
Hence if we know the number of nos and yeses we can estimate the probability of guilt given a yes and a no answer and put confidence intervals on it should we so choose (if we know the sample size.
no subject
Date: 2011-08-01 02:37 pm (UTC)no subject
Date: 2011-08-01 02:40 pm (UTC)no subject
Date: 2011-08-01 03:09 pm (UTC)no subject
Date: 2011-08-01 04:03 pm (UTC)I'd like to see a parallel program checking on whether people have abused "anonymous" answers.
I'd also like to see whether the 18% of ranchers having killed leopards has a good match with the apparent number of leopards killed.