It’s a tactic recommended for apartment-hunting in the uber-competitive Bay Area, where you need every edge you can get, Griffiths says. After that, you should put down a deposit on the first place that beats what you previously viewed. These algorithms are designed to limit the time spent deciding whom to date, where to live, what job to take and even where to park.įor example, if you give yourself a month to find an apartment, the 37 percent rule holds that you should spend 11 days (37 percent of your time) exploring what’s out there without a checkbook in hand. One helpful and statistically proven strategy highlighted in the book is the “37% Rule,” just one example of an “optimal stopping” problem. The book cites examples of decision-making quandaries faced by everyone from naturalist Charles Darwin (how to choose a wife) to pop singer Katy Perry (how to handle her 82 million Twitter followers). “We wanted to reclaim the notion that humans use algorithms,” Griffiths says. While algorithms are typically associated with computers, they’ve been used by humans for thousands of years to lay out a series of steps to solve a problem or create something, like a recipe. “They don’t need a therapist they need an algorithm.” “Every harried renter, driver and suitor you see around you as you go through a typical week is essentially reinventing the wheel,” the book’s introduction points out. New book offers algorithms in an era of too many choices and too little time.Ī new book by Tom Griffiths, a UC Berkeley cognitive scientist, and acclaimed author and computer scientist Brian Christian combines the best of computer science and human intuition to head off an epidemic of too many choices and not enough time.Īlgorithms to Live By: The Computer Science of Human Decisions (Henry Holt and Company, 2016) argues that a successful algorithm is one that focuses on what matters, minimizes regret and does not waste precious time.
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