Serious question: if people treat p values -- continuous variables from 0 to 1 -- dichotomosly, what would stop them from treating CIs, which literally dichotomize the parameter space into "inside" and "outside", dichotomously? Telling them not to?
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Great question: I propose to use x±y/2, with y the width of the 95%CI.
Makes it clear how ridiculous it is to try to make a difference between 0.1±0.099 and 0.1±0.1.
One is significant, the other not, but they bring the same info.
See here: economistjourney.blogspot.com/2018/06/why-i-
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I think any CI for bounded effects (correlations, proportions) is asymmetric by construction.
Ok, good point, but most of our effects are Effect Sizes or Odds Ratios, which are unbounded by definition.