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?"
Too often, a popular consumer app unexpectedly gets worse: Some combination of harder to use, missing features, and slower. At a time in history where software is significantly eating the world, this is nonsensical. It’s also damaging to the lives of the people who depend on these products.
...Maybe we ought to start promoting PMs who are willing to stand pat for an occasional release or three. Maybe we ought to fire all the consumer-product PMs. Maybe we ought to start including realistic customer-retraining-cost estimates in our product planning process.
We need to stop breaking the software people use. Everyone deserves better.