Guardrails for stats are something that I've put a lot of thought towards. The fundamental challenge is that statistics is operating in a world of incomplete information. Statistical measures are almost never monotone with respect to new information, and so any new piece of context might completely invalidate an analysis. Going beyond the abstract requires an intimate knowledge of the domain being analyzed, and the limitations of statistical methods as applied to that domain. "Guardrails for stats" have to be domain- and even dataset-specific.