Articulating the ineffable. Programming language theory 
cognitive psychology. PhD @Stanford
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P-value discourse seems to focus on the hackable nature of significance testing. But shouldn't the bigger point that p-values are necessary but insufficient criteria? Being distinguishable from noise is the lowest possible form of scientific rigor.
Great scientists seem to get this. Herb Simon wrote about this in 1974: "In psychophysics... what is published is not the one-bit message that there is a relation... but the actual form of the function and the numerical values of its parameters."
He also pointed out George Miller's influential "7 ± 2" paper cited 13 papers using parameter-estimation, and 2 papers using hypothesis-testing. It's not just about reproducibility -- history suggests that building actual models produces more *useful* results.
I think there are *several* necessary but insufficient criteria (for example, power), and the more of them the more sufficient. I think formally decreeing something "sufficient" at all is dangerous, because that's what leads to people incentivized to hack it.
Agreed! Sufficiency is domain-dependent, based on level of insight gained. How many confounders are considered, is analysis causal vs. correlational, is explanation based on mechanisms or distributions.
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