I remain unconvinced that that probabilities are undefined.

Tegmark gave an interesting version of how to get Born's rule from
MWI, which seemed to have legs. Deutsch gave one based on decision
theory that is admittedly unsatisfying.

My own derivation simply assumed that observers had measure. The
probability of an outcome is proportional to the measure of the
observers both before and after the event, and the normalised to make
the result into a probability. That gives the Born rule right there,
independently of Gleason's theorem IIUC.

Cheers

On Mon, Mar 02, 2015 at 01:10:22PM +1100, Stathis Papaioannou wrote:
> On Monday, March 2, 2015, meekerdb <meeke...@verizon.net> wrote:
> 
> >  On 3/1/2015 5:10 PM, Stathis Papaioannou wrote:
> >
> > On 2 March 2015 at 11:20, meekerdb <meeke...@verizon.net> 
> > <javascript:_e(%7B%7D,'cvml','meeke...@verizon.net');> wrote:
> >
> >
> >  MWI doesn't explain the probabilities.
> >
> >  So what would the probabilities be if MWI were true?
> >
> >
> >
> >
> > Undefined.
> >
> 
> What would it be like to live in a world where probabilities were
> undefined? Can you reason that we don't live in a world with undefined
> probabilities and therefore we can't live in a multiverse?
> 
> 
> -- 
> Stathis Papaioannou
> 
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