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?"
I’m a historian of innovation. I write mostly about the causes of Britain’s Industrial Revolution, focusing on the lives of the individual innovators who made it happen. I’m interested in everything from the exploits of sixteenth-century alchemists to the schemes of Victorian engineers. My research explores why they became innovators, and the institutions they created to promote innovation even further.
To truly increase innovation, I think we need policies focused on what goes on even further upstream, before much of the supply of new inventors is inevitably siphoned off into distractions, dead ends, and failure. Most policies inevitably have a marginal effect, but a slight expansion of the incoming swell of potential inventors can have a much greater impact than fiddling with the incentives of the few hundred who’ve already somewhat made it to the final trickle. Increase the strength of the flow upstream, and everything downstream flows the faster too.