Binomial error or Poisson error about aghast HOT 1 CLOSED

I think one of the options for this field is "no interpretation." It doesn't need to be filled.

Some of the data in these objects are necessary for the various histogram → histogram conversions it needs to perform. Some only set the context, like this one. A date analyst would strongly desire to attach such information, as it would simplify bookkeeping, and much of it may be information we haven't thought of: there are JSON-valued metadata fields for that. But some metadata are significant enough to have a special form, so that each user doesn't invent their own format.

Also, I'm not sure you're interpreting FractionBinning right: it's for "efficiency plots." The counts in each corresponding bin of the numerator and denominator are highly dependent, but neighboring bins are almost always independent. If neighboring bins are not independent, then all of the error methods listed here would be inapplicable.

from aghast.