Having thought about it some more, I feel that a good induction method would start with p_doomsday(time) being a smooth function, and it would have to acquire great many bits of information-theoretic data before that function would grow very sharp and specific peaks.
Meanwhile, S.I. starts with an enormous set of weird preconceptions due to the use of some one dimensional Turing machine, and consequently produces really really bad priors. The badness of said priors is somewhat masked by very-easy-for-laymen-to-misinterpret optimality proofs.
Having thought about it some more, I feel that a good induction method would start with p_doomsday(time) being a smooth function, and it would have to acquire great many bits of information-theoretic data before that function would grow very sharp and specific peaks.
Meanwhile, S.I. starts with an enormous set of weird preconceptions due to the use of some one dimensional Turing machine, and consequently produces really really bad priors. The badness of said priors is somewhat masked by very-easy-for-laymen-to-misinterpret optimality proofs.