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The "optimal stopping" problem teaches us when to commit to a decision from "summary" of Algorithms to Live By by Brian Christian,Tom Griffiths

The "optimal stopping" problem is all about making decisions in the face of uncertainty. It teaches us when we should commit to a choice and when we should keep our options open. This concept can be applied to various aspects of our lives, from dating to job interviews to house hunting. Imagine you're looking for a life partner. The optimal stopping problem tells us that we should spend a certain amount of time dating different people to get a sense of what's out there. This allows us to gather information and compare our options before making a decision. But there comes a point when we must stop searching and commit to a partner if we want to settle down. The same principle applies to job interviews. We should interview a certain number of candidates to get a good sense o...
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    Algorithms to Live By

    Brian Christian

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