3 ms·

I'm not sure I understand your point. Are you saying that in the absence of statistical significance, you should ignore the data you do have? I tend to agree t

I'm not sure I understand your point. Are you saying that in the absence of statistical significance, you should ignore the data you do have? I tend to agree that data-driven decision making is often deeply confounded and more association-based than causation-based, but I'm not really sure statistical significance is the right way to solve that in every case.

lumost 3y ago
Not the OP, however Anecdotally, I've seen firms/teams who intrinsically lack data opine that they need data to make any decisions which are uncomfortable. Data comes in a variety of forms - many of which are intrinsically expensive to acquire. It's ok to acknowledge that you don't have sufficient data, and won't be able to acquire sufficient data in a reasonable time/budget - and that you need to use judgement.