I’m not sure Popper would agree. He argued against a naive view of falsification (e.g. the difference between what’s falsifiable and falsified). Falsifiability is one part of a finely tuned instrument, not a blunt hammer. He highlighted the importance of explanations and the use of corroboration (though rigorous tests) to choose among competing explanations.

Thanks for raising the profile of Popper among data scientists!