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Whatβs more important than how much data you have is how it frames the way you think.
Some leader when they're under pressure to appear decisive, approach complex situations with simple rules or analogies, selectively using data to justify poor judgment calls.
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He wondered how he could predict the probability of a future event if he only knew how many times it had occurred, or not, in the past. Bayes figured out that even when it comes to uncertain outcomes, we can update our knowledge by incorporating new, relevant information as it becomes available.
His theorem describes the probability of an event, based on prior knowledge of conditions that might be related to the event.
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Data can be imperfect, incomplete, or uncertain. Most of the time, there is more than one explanation for why things happened the way they did; by examining those alternative explanations using probability, you can gain a better understanding of causality and what is really going on.
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So thinking probabilistically takes some getting used to. We generally believe that something is true or false.
Our instinct for determinism may well have been an evolutionary innovation. To survive, we had to make snap judgments about the world and our response to it. However, the deterministic approach wonβt help us make good decisions in complex, unpredictable environments.
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