# P-values and likelihood principle

This question came up in class: If we use p-values to evaluate hypotheses on an experiment, which part of the Likelihood Principle are we not obeying: Sufficiency or Conditionality?

My intuition would be to say Sufficiency, since computing a p-value relies on unobserved outcomes of an experiment, and Sufficiency seems to deal more with observations within a single experiment while Conditionality seems to deal more with different experiments.