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’ve been looking at this chart a lot over the past few weeks.
It shows us that print ad budgets were doing just fine all the way though the first decade or more of the consumer internet. There was even a little spike upward for the Dotcom bubble. Then the financial crisis and recession of 2008/9 caused a step change down, but when the crisis was over the budgets didn’t come back. Instead, the market had been reset, and budgets have been falling steadily ever since.
You might call this the Will E Coyote effect - you’ve run off the cliff, or the cliff has disappeared from under you, but there’s a brief moment while your legs windmill in the air before gravity kicks in. It can take a while for the inevitable to happen, but then, as Lenin pointed out, you get a decade of inevitable in a week.