Aren’t these basically the same?
Not at all. To quote Andrew Gelman,
The p-value is a strange nonlinear transformation of data that is only interpretable under the null hypothesis. Once you abandon the null (as we do when we observe something with a very low p-value), the p-value itself becomes irrelevant.
Also see more of Gelman on the same topic.
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Not at all. To quote Andrew Gelman,
Also see more of Gelman on the same topic.