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Thinking in a foreign language makes people make more rational decisions

A series of experiments on more than 300 people from the U.S. and Korea found that thinking in a second language reduced deep-seated, misleading biases that unduly influence how risks and benefits are perceived. In other words— in order to think clearly about a problem, it’s best to do so in a foreign language.

“Would you make the same decisions in a foreign language as you would in your native tongue?” asked psychologists led by Boaz Keysar of the University of Chicago in an April 18 Psychological Science study.

“It may be intuitive that people would make the same choices regardless of the language they are using, or that the difficulty of using a foreign language would make decisions less systematic. We discovered, however, that the opposite is true: Using a foreign language reduces decision-making biases,” wrote Keysar’s team.

Psychologists say human reasoning is shaped by two distinct modes of thought: one that’s systematic, analytical and cognition-intensive, and another that’s fast, unconscious and emotionally charged.

In light of this, it’s plausible that the cognitive demands of thinking in a non-native, non-automatic language would leave people with little leftover mental horsepower, ultimately increasing their reliance on quick-and-dirty cogitation. Equally plausible, however, is that communicating in a learned language forces people to be deliberate, reducing the role of potentially unreliable instinct. Research also shows that immediate emotional reactions to emotively charged words are muted in non-native languages, further hinting at deliberation.

To investigate these possibilities, Keysar’s team developed several tests based on scenarios originally proposed by psychologist Daniel Kahneman, who in 2002 won a Nobel Prize in economics for his work on prospect theory, which describes how people intuitively perceive risk.

In one famous example, Kahneman showed that, given the hypothetical option of saving 200 out of 600 lives, or taking a chance that would either save all 600 lives or none at all, people prefer to save the 200 — yet when the problem is framed in terms of losing lives, many more people prefer the all-or-nothing chance rather than accept a guaranteed loss of 400 lives.

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