Occam's razor has a practical interpretation in Bayesian statistics, in that a more complex hypothesis will tend to have exponentially lower prior probability,

Occam's razor has a practical interpretation in Bayesian statistics, in that a more complex hypothesis will tend to have exponentially lower prior probability, because in comes from a more heavily parametrized component of the hypothesis space. That doesn't mean much without a concrete probability model, though, and there probably isn't one in this case.