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?"
When I was a product designer, people would ask what I did for a living, and sometimes I’d answer “I draw pictures of websites.”
Sure, I could just say “I design websites.” That’s true. The end result of my work is (hopefully) that a website looks better, works better, or results in better outcomes.
But most of my day isn’t spent looking at the website, or working on the code of the website, or manipulating the website directly in some way. It’s spent in Figma or Sketch, drawing pictures of how I think the website should look and work.
Through some kind of alchemy, the pictures I draw have an impact on the finished website. But they’re not all the same.