>The scientists write all of their data reduction pipelines before taking any actual data and test their pipelines on simulated data. When they are confident th

>The scientists write all of their data reduction pipelines before taking any actual data and test their pipelines on simulated data. When they are confident that their pipeline is running as expected they run the experiment, put the data through their pipeline and publish the result, no matter how unexpected it is. How does that help when the prediction matches the measurement but the experiment is flawed ?