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#nullhypothesis

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"In real life, we weigh the anticipated consequences of the decisions that we are about to make. That approach is much more rational than limiting the percentage of making the error of one kind in an artificial (null hypothesis) setting or using a measure of evidence for each model as the weight."
Longford (2005) stat.columbia.edu/~gelman/stuf

Something I can't say on #facebook without repercussions from family and friends: faith is dead, long live faith.

I left the #lds church after about 40 years (Exodus joke here). The main reason was that I just stopped believing all the doctrine. Every "spiritual experience" I'd ever had could finally be explained much more easily by basic things I understood about humans and myself than by religious concepts.

And since then I have those "spiritual experiences" over and over. I feel what I would have once identified as The Spirit when I read about refugees or people who overcame great odds; when I hear moving music or watch an emotional scene in a movie.

The past few days I've been having spiritual experiences every time I feel a glimmer of hope for the continued existence of my democracy, or when I read about ways of helping vulnerable populations survive this administration.

I said "long life #faith" but that's not quite right. I don't have the kind of faith I had as a religious Mormon person. I am working on whether faith is a relevant concept anymore, for me. Hope, however--hope is something I understand and need.

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@level98

😀
There even wikipedia on the "Misuse of p-values": en.wikipedia.org/wiki/Misuse_o

I therefore am adding to my guidelines: "Instead of telling researchers what they want to know, statisticians should teach researchers which questions they can ask. […]
Before we can improve our statistical inferences, we need to improve our statistical questions."

Excerpt from Daniël Lakens (2021) journals.sagepub.com/doi/10.11

en.wikipedia.orgMisuse of p-values - Wikipedia