My approach to what I do in my job — and it might even be the approach to my life — is that everything I do is the most important thing I do. Whether it’s a play or the next film. It is the most important thing. I know it’s not going to be the most important thing, and it might not be close to being the best, but I have to make it the most important thing. That means I will be ambitious with my job and not with my career. That’s a very big difference, because if I’m ambitious with my career, everything I do now is just stepping-stones leading to something — a goal I might never reach, and so everything will be disappointing. But if I make everything important, then eventually it will become a career. Big or small, we don’t know. But at least everything was important.
A theory of change is the opposite of a theory of action — it works backwards from the goal, in concrete steps, to figure out what you can do to achieve it. To develop a theory of change, you need to start at the end and repeatedly ask yourself, “Concretely, how does one achieve that?”
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.