Why every behavioural scientist should understand 'Bayesian' probability
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Why every behavioural scientist should understand 'Bayesian' probability
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Robert makes the bold claim that 'probability' underlies all knowledge and that behavioural scientist should always be thinking about knowledge and claims we make in terms of 'priors' (their judgement of the likelihood that something is true before gathering some evidence) and their 'posterior probabilities' (their judgement of the likelihood that it is true after having gathered some evidence), and should never be 100% certain about anything!
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