TED: 3 ways to make better decisions -- by thinking like a computer | Tom Griffiths

The video explores decision-making challenges in everyday life, using Sydney's housing market as an example. It introduces the 37% rule for optimal stopping problems and discusses the explore/exploit trade-off. The speaker shares personal experiences with rational decision-making and highlights how computer science principles can aid in organizing and solving complex problems. The video concludes with insights into simplifying hard problems using algorithms.

How does the speaker relate their personal experiences to the concepts discussed in the talk?

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How can understanding the explore/exploit trade-off improve decision-making in technology companies?

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What role does the concept of 'least recently used' play in both computer memory and personal organization?

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What are the implications of the 37% rule for making decisions in life beyond finding a home?

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