Intelligent readers often complain that they don’t get what I mean by “meta-rational,” and want examples.
Here are some nice ones from @JohnDCook's blog:
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The CS curriculum teaches methods for solving small, well-formulated hard problems: the essence of rationality.
Mostly irrelevant to software engineering practice, which is about managing vast, amorphous messes: a major theme in meta-rationality.
https://www.johndcook.com/blog/2015/06/18/most-important-skill-in-software/ …pic.twitter.com/EFi4a8jg3J
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“Bring out your differential equations!” is a failure of naive rationalism.
“A feedback loop of provisional problem formulation, attempted solution, revised formulation” is meta-rational.
Intro stats books create the rationalist misunderstanding that science gets results by pushing data through a formula.
Meta-rationality requires asking what your data *mean*; and only then asking which statistical methods are relevant and why.