In their latest book, 'Think Like a Freak," Steven Levitt and Stephen Dubner urge readers to think about the world differently by training readers' brains to approach problems in unique ways. In the final chapter, "The Upside of Quitting," Levitt and Dubner suggest that, contrary to what many people have told you in life, you should quit. That is, when things get tough, you shouldn't always tough them out and stick with it. Instead, you should quit and do so sooner rather than later.
Because many of us believe in the adage "winners never quit," giving up is a difficult thing to do. The authors describe an experiment where readers submitted a tough decision they wanted the site to decide for them. You might assume that since economists were behind this experiment, they would implement a fancy algorithm or formula to help readers make the most data-based decision. Instead they used a simple computerized coin flip to spit out an answer. Despite putting a button that said "flip a coin" before the decision was given, readers submitted some rather serious questions, such as, should I quit my job?
What caught my eye was that more than 200 people asked the question: Should I break up with my partner? Given that the coin flip said "Yes" half the time, it must have led to 100 break ups. Of course, not everyone who asked the question would follow through on their decision. But the book's authors suggest that most people did follow through.
Think about how bizarre that is. Roughly 100 people who were in a relationship broke up based on a random decision made by a computer. A survey later on revealed that they were generally happy about their decision.
Surprisingly, this result agrees with research findings. We know that people in relationships predict that they will be sadder about the break-up than they are when it actually happens. My research found that when you ask undergraduates who recently broke up, "Overall, how would you describe the break-up's impact on you?" a majority (41.3 percent) rated their break-up as positive, while 25.7 percent said it was neutral. Only 33 percent reported that the break-up was negative.