Check out the work around http://quorumlanguage.com/ http://quorumlanguage.com/ -- it turns out that these are harder to quantify than we would expect. For exa

Check out the work around http://quorumlanguage.com/ http://quorumlanguage.com/ -- it turns out that these are harder to quantify than we would expect. For example, functional programming is terrible for beginners and has a high learning curve. People who use it in production swear by it. How do we test this? Can we trust that what is true for a beginner is true for an expert? How do you afford 10 mid-level programmers for 6 months? Is that a large enough sample size? The fundamental problem with studies, as I see it, is that we haven't figured out how to constrain the variability yet. We have a lot of work to get out of the hypothesis stage still.