There is a hidden cost to having a hypothesis. It arises from the relationship between night science and day science, the two very distinct modes of activity in which scientific ideas are generated and tested, respectively [1, 2]. With a hypothesis in hand, the impressive strengths of day science are unleashed, guiding us in designing tests, estimating parameters, and throwing out the hypothesis if it fails the tests. But when we analyze the results of an experiment, our mental focus on a specific hypothesis can prevent us from exploring other aspects of the data, effectively blinding us to new ideas.
Walking intrigues the deskbound. We romanticize it, but do we do it justice? Do we walk properly? Can one walk improperly and, if so, what happens when the walk is corrected?
This talk centered on Hamming's observations and research on the question "Why do so few scientists make significant contributions and so many are forgotten in the long run?"
The decreasingly tangible product of code, i.e. that all we have are files on a hard-drive, may make it easy to forget that writing software produces a thing. If you produce a wonky chair or an overly long fork, it’s easy to see the quality of work was not great. By calling for a perception of software as a craft, we fight against that ability to forget or not notice the final quality of the product. You could watch two software engineers with different levels of experience, or in different domains, and it wouldn’t necessarily be so easy to guess which is which, at least from a distance.
So maybe there is something to be said for the value of software as a craft, for sometimes focusing on the practice of making better, or at least different, software just for the sake of it.