To be clear, in this case there appears to have been fraud ie actual falsification of data. That’s very different from the broader replication crisis, which is more of the shape of unknown parameters. The two get blurry in some places due to eg publication incentives pushing people’s interpretation of legitimate data into semi-fraudulence. But there are still two ends (at least) on the spectrum of non-replicable science.
I think framing it in this lens is helpful because it points toward a solution: capturing more of the parameters more explicitly and varying them more deliberately. If we just say, “oh x y z studies aren’t replicable, field [x y z] is bullshit,” we are ending our inquiry prematurely. We are ending it at the falsification of Newton’s initial theory and saying that because leaves fall at a different rate, that gravity doesn’t exist.
I think framing it in this lens is helpful because it points toward a solution: capturing more of the parameters more explicitly and varying them more deliberately. If we just say, “oh x y z studies aren’t replicable, field [x y z] is bullshit,” we are ending our inquiry prematurely. We are ending it at the falsification of Newton’s initial theory and saying that because leaves fall at a different rate, that gravity doesn’t exist.