Oscar_Cunningham comments on Bayesianism in the face of unknowns - Less Wrong

1 Post author: rstarkov 12 March 2011 08:54PM

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Comment author: Oscar_Cunningham 13 March 2011 12:05:16PM 0 points [-]

For any finite amount of data you won't perfectly break even using a bayesian method, but it's better than all the alternatives, as long as you don't leave out some data.

What!? Are you saying that you can predict in advance that you'll lose money? Surely that can't happen, because you get to choose how much you want to pay, so you can always just pay less. No?

Comment author: Manfred 14 March 2011 12:10:01AM 1 point [-]

For simplicity, let's imagine betting on a single coin with P(heads) = 0.9. You say "how much will you pay to win $1 if it lands heads?" and I say "50 cents," because at the start I am ignorant. You flip it and it lands heads. I just made 40 cents relative to the equilibrium value.

So it's not predictably losing money. It's predictably being wrong in an unpredictable direction.

Comment author: rstarkov 13 March 2011 02:34:12PM *  0 points [-]

I read this to say that you can't calculate a value that is guaranteed to break even in the long term, because there isn't enough information to do this. (which I tend to agree with)

Comment author: benelliott 13 March 2011 12:21:06PM 0 points [-]

Perhaps he means that you break even once opportunity costs are taken into account, that is you won't win as much money as you theoretically could have won.