The issue is not to repeat the experiments, but rather to avoid putting the logs in the wheels of people who want to re-analyze your existing data (including yo

The issue is not to repeat the experiments, but rather to avoid putting the logs in the wheels of people who want to re-analyze your existing data (including yourself a couple of years later) and avoid losing thousands of working hours doing forensic data analysis to point out shitty science. Keith's Baggerly 2010 talk on the hoops he had to jump through to get to Anil Potti (https://en.wikipedia.org/wiki/Anil_Potti https://en.wikipedia.org/wiki/Anil_Potti) is a great demo of the application case: https://youtu.be/7gYIs7uYbMo https://youtu.be/7gYIs7uYbMo. And as for "doing real science" vs. trying to make it more reproducible, there is an excellent analogy with "doing real programming" (aka adding features) vs. refactoring and architectural adjustments. Telling that you consider the second as a waste of time tells more about yourself than about the subject.