Algorithms to Live By

Algorithms are recipes and strategies, and whenever we have to make decisions in real life - influenced by a set of restrictions on time/money/space - we apply our own internal algorithms. Sometimes our techniques have grown from years of experience, sometimes we can explain their reasoning, sometimes we refer to it as a gut feeling. Mostly, impressively, there are not too far from how an optimised computer algorithm would solve the same problem. Algorithms to Live By goes through daily-life examples and explains the probabilities and math behind such decision-making problems. How to find a close-enough parking spot without wasting time circling the block. When to explore new restaurant options instead of returning to favorites. How the messiest desk of piles of paper actually resembles the most efficient last-in-last-out caching strategy. Some have magical numbers attached to them (stop exploring after 37% of your options and exploit the next best option), others are well-known principles (like ‘perfect' being the enemy of ‘good'). The book is a good companion to [b:How Not to Be Wrong: The Power of Mathematical Thinking 18693884 How Not to Be Wrong The Power of Mathematical Thinking Jordan Ellenberg https://images.gr-assets.com/books/1387726285s/18693884.jpg 26542434], as both try to coach us into understanding the mathematical parts of our lives a bit more.