From an interested observer not trained in philosophy, my current take on the cumulative discussion to date is that falsification is an interesting and useful concept in the abstract but not in the doing of science. I view this similarly as how I view causal inference when not applied to randomized experiments: interesting, and useful for infinite sample sizes, but not as useful as it appears once real finite datasets are involved.