On Friday, February 7, 2020 at 11:54:24 PM UTC-6, Bruce wrote: > > On Sat, Feb 8, 2020 at 4:41 PM 'Brent Meeker' via Everything List < > [email protected] <javascript:>> wrote: > >> On 2/7/2020 8:14 PM, Bruce Kellett wrote: >> >> On Sat, Feb 8, 2020 at 1:26 PM 'Brent Meeker' via Everything List < >> [email protected] <javascript:>> wrote: >> >>> On 2/7/2020 5:57 PM, Bruce Kellett wrote: >>> >>> There is nothing that picks out one particular set of paths as preferred >>> in the many-worlds situation. >>> >>> >>> Sure you can. For example you can pick out the set of paths whose >>> statistics are within some bounds of the mean. >>> >> >> Assuming you know what the 'mean' is absent any experiment. >> >> >> The mean is estimated by the average of the experimental values. >> > > > In other words, you use the data to infer probabilities. But the same data > occur whatever the probabilities, so your backward inference to the > probabilities is meaningless >
Bayesian inference works this way, LC > -- You received this message because you are subscribed to the Google Groups "Everything List" group. To unsubscribe from this group and stop receiving emails from it, send an email to [email protected]. To view this discussion on the web visit https://groups.google.com/d/msgid/everything-list/2039d40d-6df9-4ac6-9d38-a464bedf8c9c%40googlegroups.com.
