Our biases can be compared to the null hypothesis: they exist without statistical significance. Interestingly, we can’t deny these biases. We are inherently designed to have them. While we can’t eliminate them, we can take a more scientific or statistical approach to validate our hypotheses.
Often, our fears play a role when we hold back from giving someone an opportunity or delegating a task. We also logically convince ourselves, thinking someone might not be ready or could get burnt out. Agile taught me one thing very well: try small steps, measure, and iterate. And then Nike taught me, to just do it. Doing is better than talking.
NASA doesn’t fail as much as SpaceX does. But that’s because NASA couldn’t afford to fail as much; SpaceX embraces failure as part of its innovative process.
Back to the null hypothesis, it is about accepting the status quo, whereas the alternative hypothesis challenges it. And there is only one way to find what is more correct: perform tests on samples.
Finally, there is always a first time. Apple was not a mobile phone company, but Nokia was. If you had money to invest, where would you have invested? And after years, which phone do you have in your hand?
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