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Risk Intelligence: How to Live with Uncertainty - Softcover

Evans, Dylan

 
9781451610918: Risk Intelligence: How to Live with Uncertainty

Inhaltsangabe

“With an arsenal of studies and statistics, Evans covers fascinating topics, including battlefield strategies, overconfidence, lies, and the tendency to follow the crowd…a valuable manual” (Publishers Weekly) introducing the recently discovered type of intelligence. “Risk Intelligence is really a great contribution for dealing with the biggest challenge we have in an interconnected world: complexity, velocity, and uncertainty” (Klaus Schwab, Founder and Executive Chairman, World Economic Forum).

As acclaimed author and lecturer Dylan Evans reveals in his latest work, there is a special kind of intelligence for dealing with risk and uncertainty. But shockingly, many people in positions that require high risk intelligence—doctors, financial regulators, and bankers, for instance—seem unable to navigate what Evans calls the “darkened room,” the domain of doubt and uncertainty.

Risk Intelligence is a traveller’s guide to the twilight zone of probabilities and speculation. Evans shows us how risk intelligence is crucial to making good decisions, from dealing with climate change to combating terrorism. He argues that we can all learn a lot from expert gamblers, not just about money, but about how to make decisions in all aspects of our lives. Introducing a wealth of fascinating research findings and using a wide range of real-life examples—from the brilliant risk assessment skills of horse race handicappers to the tragically flawed evaluations of risk that caused the 2009 financial crisis—Evans reveals the common errors in our thinking that undermine our risk intelligence.

Both highly engaging and truly mind-changing, Risk Intelligence shows how we can improve our thinking in order to enhance our lives.

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Über die Autorin bzw. den Autor

Dylan Evans is the author of several critically acclaimed books, including Emotion: The Science of Sentiment and Placebo: The Belief Effect. He holds a Ph.D. in philosophy from the London School of Economics and is a lecturer in behavioral science at University College Cork School of Medicine in Ireland. He writes regularly for the Guardian and has appeared regularly on BBC radio.

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Risk Intelligence

CHAPTER 1


Why Risk Intelligence Matters

He who knows best, best knows how little he knows.
—THOMAS JEFFERSON

Kathryn, who is a detective, is good at spotting lies. While her colleagues seem to see them everywhere, she is more circumspect. When she’s interviewing a suspect, she doesn’t jump to conclusions. Instead she patiently looks for the telltale signs that suggest dishonesty. Even so, she is rarely 100 percent sure that she’s spotted a lie; it’s more often a question of tilting the scales one way or another, she says.

Jamie is viewed as a bit of an oddball at the investment bank where he works. When everyone else is sure that prices will continue to go up, Jamie is often more skeptical. On the other hand, there are times when everyone else is pessimistic but Jamie is feeling quite bullish. Jamie and his colleagues are not always at odds, but when they disagree it tends to be Jamie who is right.

Diane is overjoyed about her new relationship. When she phones her best friend, Evelyn, to tell her all about the new man in her life, Evelyn urges caution. “What’s the chance that you’ll still be with this guy in twelve months?” she asks, as she has done before. Diane’s reply is just as predictable. “Oh, ninety, maybe ninety-five percent,” she replies, as she always does. “I’m sure Danny is the one!” Two months later, she’s broken up again.

Jeff has just been promoted to the rank of captain in the US Army. Since he is new to the role, he often feels unsure of his decisions and seeks out his colonel for a second opinion. The colonel is beginning to get rather tired of Jeff’s pestering him, and has taken to playing a little game. Whenever Jeff asks his opinion, he responds by asking how confident Jeff is of his own hunch. Usually Jeff replies that he’s only about 40 or 50 percent sure. But nine times of out ten, the colonel agrees with Jeff’s opinion.

These four people display different degrees of risk intelligence. Kathryn and Jamie have high risk intelligence, while Diane and Jeff are at the other end of the spectrum. What exactly do I mean by risk intelligence? Most simply put, it is the ability to estimate probabilities accurately, whether the probabilities of various events occurring in our lives, such as a car accident, or the likelihood that some piece of information we’ve just come across is actually true, such as a rumor about a takeover bid. Or perhaps we have to judge whether a defendant in a murder trial is guilty, or must decide whether it’s safe to take a trip to a country that’s been put on a watch list. We often have to make educated guesses about such things, but fifty years of research in the psychology of judgment and decision making show that most people are not very good at doing so. Many people, for example, tend to overestimate their chances of winning the lottery, while they underestimate the probability that they will get divorced.

At the heart of risk intelligence lies the ability to gauge the limits of your own knowledge—to be cautious when you don’t know much, and to be confident when, by contrast, you know a lot. People with high risk intelligence tend to be on the button in doing this. Kathryn and Jamie, for example, are relatively risk intelligent because they know pretty well how much they know and have just the right level of confidence in their judgments. Diane and Jeff are much less proficient, though in different ways; while Diane is overconfident, Jeff is underconfident.

This is a book about why so many of us are so bad at estimating probabilities and how we can become better at it. This is a vital skill to develop, as our ability to cope with uncertainty is one of the most important requirements for success in life, yet also one of the most neglected. We may not appreciate just how often we’re required to exercise it, and how much impact our ability to do so can have on our lives, and even on the whole of society. Consider these examples, from the relatively mundane to the life-threatening:

 

image You are buying a new 42-inch HDTV, and a sales assistant asks if you would also like to purchase an extended warranty. He explains that if anything goes wrong with your TV in the next three years, the warranty will entitle you to swap it for a brand-new one, no questions asked. When deciding whether or not to purchase the extended warranty, you should consider the price of the TV, the price of the warranty, and the probability that the TV will indeed go wrong in the next three years. But what’s the chance that this will actually happen? Here’s where your risk intelligence comes in.

image A bank manager is explaining to you the various options available for investing a windfall that has just come your way. Riskier investment funds pay more interest, but there’s also a higher chance of making a loss. How much of your money should you allocate to the high-risk funds and how much to the low-risk ones? It’s partly a question of risk appetite, but you also need to know more about how much riskier the high-risk funds are. Are they 2 percent or 10 percent riskier? You need, in other words, to put a number on it.

image Doctors have discovered a tumor in your breast. Luckily, it is not malignant. It will not spread to the rest of your body, and there is no need to remove your breast. But there is a chance that it may recur and become malignant at some time in the future, and it might then spread quickly. In order to prevent this possibility, the doctor suggests that you do, after all, consider having your breast removed. It’s a terrible dilemma; clearly you don’t want the cancer to recur, but it seems a tragedy to remove a healthy breast. How high would the chance of recurrence have to be before you decided to have the breast removed?

 

When making evaluations in situations of uncertainty, people often make very poor probability estimates and may even ignore probabilities altogether, with sometimes devastating consequences. The decisions that we face, both individually and as a society, are only becoming more daunting. The following cases further illustrate how important it is that we learn to develop our risk intelligence.

THE CSI EFFECT


The television drama CSI: Crime Scene Investigation is hugely popular. In 2002, it was the most watched show on American television, and by 2009 the worldwide audience was estimated to be more than 73 million. It isn’t, however, such a hit with police officers and district attorneys, who have criticized the series for presenting a highly misleading image of how crimes are solved. Their fears have been echoed by Monica Robbers, a criminologist, who found evidence that jurors have increasingly unrealistic expectations of forensic evidence. Bernard Knight, formerly one of Britain’s chief pathologists, agrees. Jurors today, he observes, expect more categorical proof than forensic science is capable of delivering. And he attributes this trend...

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