What to do when you don’t trust your data anymore

Article note: It's generally a good tale of responsible academic scrutiny and appropriate reaction. And now the grim, I'm not suggesting the victim/author here should be reprimanded because they more or less did right, but it does demonstrate the "Academic misconduct pays off as long as you get tenure before you get caught" principle that has made academia extra bullshit lately, both in terms of the research people are choosing to do (Machine Learning and Quantum are both "safe" topics because they give results that aren't near-term falsifiable, doing to computing what string theory &co. did to physics years ago) and in terms of the credibility of the promotion process.