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marcus said:I don't understand your post, Chronos, because it sounds like you consider it a flaw for a theory to rely on an unsupported assumption. That can not be right, since theories commonly do rely on unsupported assumptions, and one checks their predictions by empirical tests.
There is something especially wrong with assuming a prior 4D metric. For example it fixes the lightcone structure in an unphysical way.
I've understood that there is disagreement in these questions on here, but to speak for myself, it is NOT a misunderstanding on my behalf when extending the "background" to be MORE than just a metric.
The reason for this has also been discussed before, but to me it's about coherence of reasoning. If you take the information theoretic view where any expectation follows by counting and rating evidence, then I do not see why information about the metric, and the abstraction of metric is special and would need special treatment. After all these information and measurement perspectives wasn't around when GR was formulated. So although GR certainly has some deep lessions, it still remains to understand them in the more modern measurement setting. So far I see this has failed.
So while I respect that people disagree, I don't think it's due to confusion that people insist on the extended meaning of B/I. I just think that B/I as a scientific statement, necessarily needs to be understood different in a measurement theory, than in a classical theory like GR.
So if we say seek a deeper abstraction and understanding, in terms of information processing, at minimum we need to explain why it's ok to use any background assumption EXCEPT the metric? I'm not defening backgroundf metrics here, I'm saying that it seems that the better version of the principle really can not distinguisha between particular assumptions.
/Fredrik