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?"
American cities seem like a product of industrial processes where older European cities seem like a product of human processes. This is because most American cities were built after and alongside the car and the industrial revolution – the design of cities took into account what was easily possible, and that guided the shape and scale of everything.
Software has similar analogues. There are software codebases that feel much more industrially generated than hand written, and they’re usually written in automation-rich environments fitting into frameworks and other orchestrating code.
…But despite the availability of cars, I still much prefer the scale and ambiance of European, human-scale cities, because ultimately cities are places humans must inhabit and understand. In the same way, I still much prefer the scale and ambiance of hand-written codebases even in the presence of heavy programming tooling, because ultimately codebases are places humans must inhabit.