Yup. Shalizi’s point is that once you’ve taken meta-uncertainty into account (by marginalizing over it), you have a precise and specific probability distribution over outcomes.
Well, yes. You have to bet at some odds. You’re in some particular state of uncertainty and not a different one. I suppose the game is to make people think that being in some particular state of uncertainty, corresponds to claiming to know too much about the problem? The ignorance is shown in the instability of the estimate—the way it reacts strongly to new evidence.
I’m with you on this one. What Shalizi is criticizing is essentially a consequence of the desideratum that a single real number shall represent the plausibility of an event. I don’t think the methods he’s advocating dispense with the desideratum, so I view this as a delicious bullet-shaped candy that he’s convinced is a real bullet and is attempting to dodge.
Shalizi says “Bayesian agents never have the kind of uncertainty that Rebonato (sensibly) thinks people in finance should have”. My guess is that this means (something that could be described as) uncertainty as to how well-calibrated one is, which AFAIK hasn’t been explicitly covered here.
Also, didn’t we already cover metauncertainty here?
Yup. Shalizi’s point is that once you’ve taken meta-uncertainty into account (by marginalizing over it), you have a precise and specific probability distribution over outcomes.
Well, yes. You have to bet at some odds. You’re in some particular state of uncertainty and not a different one. I suppose the game is to make people think that being in some particular state of uncertainty, corresponds to claiming to know too much about the problem? The ignorance is shown in the instability of the estimate—the way it reacts strongly to new evidence.
I’m with you on this one. What Shalizi is criticizing is essentially a consequence of the desideratum that a single real number shall represent the plausibility of an event. I don’t think the methods he’s advocating dispense with the desideratum, so I view this as a delicious bullet-shaped candy that he’s convinced is a real bullet and is attempting to dodge.
Shalizi says “Bayesian agents never have the kind of uncertainty that Rebonato (sensibly) thinks people in finance should have”. My guess is that this means (something that could be described as) uncertainty as to how well-calibrated one is, which AFAIK hasn’t been explicitly covered here.