That's not what I said.
And that's why I wrote "You seem to think that ..."; I was describing why I thought you would privilege the hypothesis that lying would be better.
You're absolutely right that learning to lie really well and actually lying to one's family, the "genuinely wonderful people" they know, everyone in one's "social structure" and business, as well as one's husband and daughter MIGHT be the "compassionate thing to do". But why would you pick out exactly that option among all the possibilities?
This is a rhetorical question ...
Actually it wasn't a rhetorical question. I was genuinely curious how you'd describe the boundary.
The reason why I think it's a justified presumption to be honest to others is in fact because of a slippery slope argument. Human being's minds run on corrupted hardware and deception is dangerous (for one reason) because it's not always easy to cleanly separate one's lies from one's true beliefs. But your implication (that lying is sometimes right) is correct; there are some obvious or well-known schelling fences on that slippery slope, such as lying to the Nazis when they come to your house while you're hiding Jews.
Your initial statement seemed rather cavalier and didn't seem to be the product of sympathetic consideration of the original commenter's situation.
Have you considered Crocker's rules? If you care about the truth or you have something to protect then the Litany of Gendlin is a reminder of why you might adopt Crocker's rules, despite the truth possibly not being the "compassionate thing to do".
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The description of x has to include the description of P, and that has to be computable if a universal distribution is going to assign positive probability to x.
If P has a short computable description, then yes, you can conclude that P is not a universal distribution. Universal distributions are not computable.
If the shortest computable description of P is long, then you can't conclude from this argument that P is not a universal distribution, but I suspect that it still can't be a universal distribution, since P is computable.
If there is no computable description of P, then we don't know that there is a computable description of x, so you have no contradiction to start with.