All evidence in observed data about a parameter is contained in its likelihood function; proportional likelihoods carry the same evidence. If a stopping rule contributes only a positive factor independent of the parameter to the complete observed-sample likelihood, that factor does not change likelihood-based inference. Recording only a coarsened part of the sample produces a different likelihood and is not covered by the same invariance claim.
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