[jkh1]

> A lot of researchers are bad at writing code, but they can audit it.

Can they really? It seems to me that users of this would be those that can't write the code they need. How would they be in a position to audit what they get?

[cl42]

I'll use myself as an example. I love Pandas + Scikit Learn, but am by no means an expert. Every time I want to build a logistic regression, I have to go back to the docs to review the API.

When I was doing my Master's degree in "Social Science of the Internet" at the Oxford Internet Institute (a sociology + data science program, with many students coming from non-STEM backgrounds), everyone was comfortable debating P values, standard errors in regressions, etc. but many students were extremely intimidated by reading Python docs and/or using the REPL.