“I have never met a case in which you had all the data.” Neither have I, but they exist. As I understand it, it’s common for accountants to compute descriptive statistics based on large, complete datasets.

I actually wish missingness was better addressed in the core statistics curriculum. Too many people just give up too easily and do `na.rm=TRUE`

or its equivalent.

Perhaps instead of “uncertainty” there’s a better word I should use—maybe “precision with respect to randomness” or something like that.

When you say “statisticians … are crucial because they can model data generating processes,” I think we agree. By saying statisticians understand & study sampling, I meant that statisticians can model stochastic data-generating processes.

But we don’t study every data-generating process. Differential equations and chaos theory are not part of our core curriculum, yet they are critical for certain data sciences.

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