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I read through the first link you posted and couldn't find any ideas about what we could use instead of p-Values.

Statistical tests are a very useful and objective method of determining whether the outcomes of one thing/activity are more desirable than another when applied correctly.

Some solutions could be to set a higher bar for statistical analysis education. Or perhaps a more thorough statistically focussed vetting and peer review process for published material?

.. and after reading the second link I note that it includes commentary around the insurmountably difficult challenge of replacing the current paradigm. While not offering a solution, it goes on to provide some great advice for how to improve the quality of statistical research.

Following all of the advice to the letter would make it almost impossible to conduct valid research.

Maybe this is where economists have the upper hand? Just develop some highly abstract mathematical models representing the topic you're interested in, and abstain from rigorously testing them.




Bayesian hypothesis testing, including Bayes factors, might be more useful.


The second link addresses what should be done instead. It's not entirely satisfying as there isn't yet consensus for a replacement, if such a thing is even possible.




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