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jimrandomh comments on Conditioning on Observers - Less Wrong
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"Of course P(W) isn't bound within [0,1]"
Of course! (?) You derived P(W) using probability laws, i.e., solving for it in this equation: P(H)=P(H|W)P(W), where P(H)=1/2 and P(H|W)=1/3. These are probabilities. And your 1/3 solution proves there is an error.
If two variables have correlation of 1, I think you could argue that they are the same (they contain the same quantitative information, at least).
No. You will wake on Monday with probability one. But, on a randomly selected awakening, it is more likely that it's Monday&Heads than Monday&Tails, because you are on the Heads path on 50% of experiments
No, P(H)=P(H|W)P(W) is incorrect because the W in P(H|W) is different than the W in P(W): the former is a probability distribution over a set of three events, while the latter is a boolean. Using the former definition, as a probability distribution, P(W) isn't meaningful at all, it's just a type error.