From Instinct to Insight - How Do We Really Decide? Bayesian Thinking - Future IQ
Concepts in this episode
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Bayesian Inference mental-model
A conclusion depends not only on the evidence in front of you, but also on the belief you brought to it. Rational updating combines both, changing confidence only as much as the new evidence warrants.
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Priors mental-model
A prior is the belief already in place before current evidence arrives; sound judgment depends on noticing that starting point and letting evidence move it by an appropriate amount.
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Bayesian Updating mechanism
Bayesian updating treats belief as a running estimate: combine your current confidence with each new observation, then carry the revised belief into the next judgment.
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Borrowed Priors mechanism
Many beliefs begin as social inheritances rather than conclusions: family, school, media, religion, and culture supply the starting assumptions from which later evidence is judged.
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Trapped Prior mechanism
A trapped prior is a belief that has become resistant to correction: it filters, dismisses, or reinterprets incoming evidence so that the belief itself never has to change.
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Confirmation Bias mechanism
Confirmation bias lets prior belief judge the evidence meant to test it: attention preserves supporting hits, interpretation excuses conflicting misses, and memory turns the resulting imbalance into apparent proof.
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Source Credibility as Evidence principle
Evidence is weighted not only by what is claimed, but by who supplies it. A source with a strong track record can make new information powerful enough to overcome your prior belief.
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Relationship Priors mental-model
In relationships, ambiguous behavior is filtered through accumulated expectations. The same missed action can become evidence of neglect or an ordinary consequence of a busy day, depending on the prior history of trust.
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