> By contrast, traditionally in science you're coming in with a hypothesis ahead of time about what variables predict what target. That is an idealistic view o

> By contrast, traditionally in science you're coming in with a hypothesis ahead of time about what variables predict what target. That is an idealistic view of what science should be, it's not what happens in the real world. HARKing ("Hypothetizing after the results are known") was a thing before ML was cool. But ML is amplifying that, it's a more effective tool to perform bad science.