140 karma · joined September 28, 2018
The problem is that with all its problems, statistical significance provides one major advantage over more meaningful methods: it provides pre-canned tests and a number (.05, .01, etc) that you need to 'beat'. The pre-canned-ness/standardization provides benchmarks for publication.
I once worked in a computational genomics lab. We got a paper into PNAS by running fisher-exact test on huge (N=100000+) dataset, ranked the p-values, got the lowest p-values, and reported those as findings. There's so much wrong with that procedure its not even funny.
Why completely throw away your experience as a lawyer? I am starting a company in the legal-tech domain and it'd be very valuable to have someone with experience in both sides of the world.