The optimism bias
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0:01 - 0:02I'm going to talk to you about optimism --
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0:02 - 0:05or more precisely, the optimism bias.
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0:05 - 0:07It's a cognitive illusion
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0:07 - 0:10that we've been studying in my lab for the past few years,
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0:10 - 0:12and 80 percent of us have it.
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0:12 - 0:13It's our tendency to overestimate
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0:13 - 0:18our likelihood of experiencing good events in our lives
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0:18 - 0:20and underestimate our likelihood of experiencing bad events.
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0:20 - 0:25So we underestimate our likelihood of suffering from cancer,
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0:25 - 0:26being in a car accident.
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0:26 - 0:29We overestimate our longevity, our career prospects.
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0:29 - 0:32In short, we're more optimistic than realistic,
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0:32 - 0:35but we are oblivious to the fact.
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0:35 - 0:36Take marriage for example.
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0:36 - 0:40In the Western world, divorce rates are about 40 percent.
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0:40 - 0:44That means that out of five married couples,
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0:44 - 0:47two will end up splitting their assets.
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0:47 - 0:51But when you ask newlyweds about their own likelihood of divorce,
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0:51 - 0:54they estimate it at zero percent.
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0:54 - 0:57And even divorce lawyers, who should really know better,
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0:57 - 1:01hugely underestimate their own likelihood of divorce.
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1:01 - 1:04So it turns out that optimists are not less likely to divorce,
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1:04 - 1:07but they are more likely to remarry.
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1:07 - 1:09In the words of Samuel Johnson,
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1:09 - 1:14"Remarriage is the triumph of hope over experience."
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1:14 - 1:15(Laughter)
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1:15 - 1:20So if we're married, we're more likely to have kids.
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1:20 - 1:23And we all think our kids will be especially talented.
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1:23 - 1:26This, by the way, is my two-year-old nephew, Guy.
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1:26 - 1:29And I just want to make it absolutely clear
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1:29 - 1:31that he's a really bad example of the optimism bias,
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1:31 - 1:34because he is in fact uniquely talented.
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1:34 - 1:35(Laughter)
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1:35 - 1:37And I'm not alone.
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1:37 - 1:38Out of four British people, three said
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1:38 - 1:43that they were optimistic about the future of their own families.
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1:43 - 1:45That's 75 percent.
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1:45 - 1:47But only 30 percent said
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1:47 - 1:50that they thought families in general
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1:50 - 1:52are doing better than a few generations ago.
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1:52 - 1:54And this is a really important point,
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1:54 - 1:55because we're optimistic about ourselves,
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1:55 - 1:57we're optimistic about our kids,
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1:57 - 2:00we're optimistic about our families,
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2:00 - 2:03but we're not so optimistic about the guy sitting next to us,
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2:03 - 2:04and we're somewhat pessimistic
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2:04 - 2:09about the fate of our fellow citizens and the fate of our country.
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2:09 - 2:13But private optimism about our own personal future
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2:13 - 2:14remains persistent.
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2:14 - 2:18And it doesn't mean that we think things will magically turn out okay,
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2:18 - 2:22but rather that we have the unique ability to make it so.
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2:22 - 2:25Now I'm a scientist, I do experiments.
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2:25 - 2:26So to show you what I mean,
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2:26 - 2:30I'm going to do an experiment here with you.
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2:30 - 2:34So I'm going to give you a list of abilities and characteristics,
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2:34 - 2:37and I want you to think for each of these abilities
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2:37 - 2:40where you stand relative to the rest of the population.
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2:40 - 2:45The first one is getting along well with others.
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2:45 - 2:49Who here believes they're at the bottom 25 percent?
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2:49 - 2:53Okay, that's about 10 people out of 1,500.
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2:53 - 2:58Who believes they're at the top 25 percent?
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2:58 - 3:02That's most of us here.
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3:02 - 3:05Okay, now do the same for your driving ability.
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3:05 - 3:09How interesting are you?
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3:09 - 3:11How attractive are you?
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3:11 - 3:15How honest are you?
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3:15 - 3:18And finally, how modest are you?
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3:18 - 3:23So most of us put ourselves above average
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3:23 - 3:24on most of these abilities.
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3:24 - 3:27Now this is statistically impossible.
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3:27 - 3:29We can't all be better than everyone else.
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3:29 - 3:32(Laughter)
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3:32 - 3:35But if we believe we're better than the other guy,
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3:35 - 3:39well that means that we're more likely to get that promotion, to remain married.
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3:39 - 3:40Because we're more social, more interesting.
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3:40 - 3:43And it's a global phenomenon.
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3:43 - 3:45The optimism bias has been observed
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3:45 - 3:47in many different countries --
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3:47 - 3:50in Western cultures, in non-Western cultures,
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3:50 - 3:52in females and males,
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3:52 - 3:54in kids, in the elderly.
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3:54 - 3:56It's quite widespread.
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3:56 - 3:58But the question is, Is it good for us?
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3:58 - 4:01So some people say no.
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4:01 - 4:04Some people say the secret to happiness
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4:04 - 4:07is low expectations.
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4:07 - 4:09I think the logic goes something like this:
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4:09 - 4:12If we don't expect greatness,
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4:12 - 4:15if we don't expect to find love and be healthy and successful,
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4:15 - 4:18well we're not going to be disappointed when these things don't happen.
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4:18 - 4:22And if we're not disappointed when good things don't happen,
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4:22 - 4:23and we're pleasantly surprised when they do,
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4:23 - 4:25we will be happy.
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4:25 - 4:28So it's a very good theory,
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4:28 - 4:30but it turns out to be wrong for three reasons.
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4:30 - 4:36Number one: Whatever happens, whether you succeed or you fail,
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4:36 - 4:39people with high expectations always feel better.
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4:39 - 4:43Because how we feel when we get dumped or win employee of the month
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4:43 - 4:45depends on how we interpret that event.
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4:45 - 4:50The psychologists Margaret Marshall and John Brown
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4:50 - 4:52studied students with high and low expectations.
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4:52 - 4:56And they found that when people with high expectations succeed,
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4:56 - 5:00they attribute that success to their own traits.
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5:00 - 5:02"I'm a genius, therefore I got an A,
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5:02 - 5:05therefore I'll get an A again and again in the future."
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5:05 - 5:08When they failed, it wasn't because they were dumb,
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5:08 - 5:11but because the exam just happened to be unfair.
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5:11 - 5:13Next time they will do better.
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5:13 - 5:16People with low expectations do the opposite.
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5:16 - 5:20So when they failed it was because they were dumb,
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5:20 - 5:21and when they succeeded
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5:21 - 5:24it was because the exam just happened to be really easy.
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5:24 - 5:26Next time reality would catch up with them.
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5:26 - 5:29So they felt worse.
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5:29 - 5:32Number two: Regardless of the outcome,
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5:32 - 5:36the pure act of anticipation makes us happy.
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5:36 - 5:39The behavioral economist George Lowenstein
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5:39 - 5:40asked students in his university
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5:40 - 5:44to imagine getting a passionate kiss from a celebrity, any celebrity.
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5:44 - 5:47Then he said, "How much are you willing to pay
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5:47 - 5:50to get a kiss from a celebrity
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5:50 - 5:52if the kiss was delivered immediately,
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5:52 - 5:58in three hours, in 24 hours, in three days,
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5:58 - 5:59in one year, in 10 years?
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5:59 - 6:02He found that the students were willing to pay the most
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6:02 - 6:05not to get a kiss immediately,
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6:05 - 6:08but to get a kiss in three days.
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6:08 - 6:11They were willing to pay extra in order to wait.
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6:11 - 6:14Now they weren't willing to wait a year or 10 years;
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6:14 - 6:16no one wants an aging celebrity.
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6:16 - 6:21But three days seemed to be the optimum amount.
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6:21 - 6:23So why is that?
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6:23 - 6:27Well if you get the kiss now, it's over and done with.
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6:27 - 6:28But if you get the kiss in three days,
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6:28 - 6:33well that's three days of jittery anticipation, the thrill of the wait.
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6:33 - 6:35The students wanted that time
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6:35 - 6:38to imagine where is it going to happen,
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6:38 - 6:39how is it going to happen.
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6:39 - 6:40Anticipation made them happy.
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6:40 - 6:45This is, by the way, why people prefer Friday to Sunday.
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6:45 - 6:48It's a really curious fact,
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6:48 - 6:51because Friday is a day of work and Sunday is a day of pleasure,
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6:51 - 6:53so you'd assume that people will prefer Sunday,
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6:53 - 6:56but they don't.
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6:56 - 6:58It's not because they really, really like being in the office
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6:58 - 7:00and they can't stand strolling in the park
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7:00 - 7:02or having a lazy brunch.
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7:02 - 7:04We know that, because when you ask people
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7:04 - 7:06about their ultimate favorite day of the week,
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7:06 - 7:09surprise, surprise, Saturday comes in at first,
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7:09 - 7:12then Friday, then Sunday.
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7:12 - 7:13People prefer Friday
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7:13 - 7:18because Friday brings with it the anticipation of the weekend ahead,
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7:18 - 7:20all the plans that you have.
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7:20 - 7:22On Sunday, the only thing you can look forward to
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7:22 - 7:23is the work week.
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7:23 - 7:30So optimists are people who expect more kisses in their future,
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7:30 - 7:31more strolls in the park.
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7:31 - 7:36And that anticipation enhances their wellbeing.
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7:36 - 7:38In fact, without the optimism bias,
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7:38 - 7:41we would all be slightly depressed.
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7:41 - 7:43People with mild depression,
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7:43 - 7:46they don't have a bias when they look into the future.
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7:46 - 7:50They're actually more realistic than healthy individuals.
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7:50 - 7:53But individuals with severe depression,
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7:53 - 7:54they have a pessimistic bias.
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7:54 - 7:57So they tend to expect the future
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7:57 - 7:59to be worse than it ends up being.
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7:59 - 8:03So optimism changes subjective reality.
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8:03 - 8:07The way we expect the world to be changes the way we see it.
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8:07 - 8:09But it also changes objective reality.
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8:09 - 8:12It acts as a self-fulfilling prophecy.
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8:12 - 8:15And that is the third reason
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8:15 - 8:17why lowering your expectations will not make you happy.
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8:17 - 8:20Controlled experiments have shown
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8:20 - 8:23that optimism is not only related to success,
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8:23 - 8:24it leads to success.
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8:24 - 8:29Optimism leads to success in academia and sports and politics.
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8:29 - 8:33And maybe the most surprising benefit of optimism is health.
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8:33 - 8:37If we expect the future to be bright,
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8:37 - 8:40stress and anxiety are reduced.
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8:40 - 8:43So all in all, optimism has lots of benefits.
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8:43 - 8:48But the question that was really confusing to me was,
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8:48 - 8:51How do we maintain optimism in the face of reality?
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8:51 - 8:55As an neuroscientist, this was especially confusing,
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8:55 - 8:58because according to all the theories out there,
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8:58 - 9:03when your expectations are not met, you should alter them.
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9:03 - 9:04But this is not what we find.
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9:04 - 9:07We asked people to come into our lab
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9:07 - 9:09in order to try and figure out what was going on.
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9:09 - 9:12We asked them to estimate their likelihood
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9:12 - 9:14of experiencing different terrible events in their lives.
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9:14 - 9:20So for example, What is your likelihood of suffering from cancer?
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9:20 - 9:20And then we told them the average likelihood
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9:20 - 9:25of someone like them to suffer these misfortunes.
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9:25 - 9:27So cancer, for example, is about 30 percent.
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9:27 - 9:31And then we asked them again,
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9:31 - 9:34How likely are you to suffer from cancer?
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9:34 - 9:36What we wanted to know
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9:36 - 9:39was whether people will take the information that we gave them
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9:39 - 9:41to change their beliefs.
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9:41 - 9:44And indeed they did --
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9:44 - 9:45but mostly when the information we gave them
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9:45 - 9:48was better than what they expected.
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9:48 - 9:49So for example,
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9:49 - 9:52if someone said, "My likelihood of suffering from cancer
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9:52 - 9:54is about 50 percent,"
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9:54 - 9:58and we said, "Hey, good news.
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9:58 - 10:01The average likelihood is only 30 percent,"
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10:01 - 10:02the next time around they would say,
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10:02 - 10:05"Well maybe my likelihood is about 35 percent."
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10:05 - 10:07So they learned quickly and efficiently.
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10:07 - 10:09But if someone started off saying,
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10:09 - 10:13"My average likelihood of suffering from cancer is about 10 percent,"
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10:13 - 10:17and we said, "Hey, bad news.
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10:17 - 10:19The average likelihood is about 30 percent,"
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10:19 - 10:21the next time around they would say,
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10:21 - 10:25"Yep. Still think it's about 11 percent."
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10:25 - 10:26(Laughter)
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10:26 - 10:28So it's not that they didn't learn at all -- they did --
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10:28 - 10:32but much, much less than when we gave them
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10:32 - 10:34positive information about the future.
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10:34 - 10:37And it's not that they didn't remember the numbers that we gave them;
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10:37 - 10:40everyone remembers that the average likelihood of cancer
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10:40 - 10:41is about 30 percent
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10:41 - 10:44and the average likelihood of divorce is about 40 percent.
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10:44 - 10:48But they didn't think that those numbers were related to them.
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10:48 - 10:51What this means is that warning signs such as these
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10:51 - 10:55may only have limited impact.
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10:55 - 10:59Yes, smoking kills, but mostly it kills the other guy.
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10:59 - 11:03What I wanted to know
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11:03 - 11:05was what was going on inside the human brain
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11:05 - 11:09that prevented us from taking these warning signs personally.
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11:09 - 11:12But at the same time, when we hear that the housing market is hopeful,
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11:12 - 11:16we think, "Oh, my house is definitely going to double in price."
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11:16 - 11:19To try and figure that out,
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11:19 - 11:21I asked the participants in the experiment
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11:21 - 11:24to lie in a brain imaging scanner.
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11:24 - 11:25It looks like this.
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11:25 - 11:28And using a method called functional MRI,
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11:28 - 11:32we were able to identify regions in the brain
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11:32 - 11:35that were responding to positive information.
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11:35 - 11:38One of these regions is called the left inferior frontal gyrus.
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11:38 - 11:42So if someone said, "My likelihood of suffering from cancer is 50 percent,"
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11:42 - 11:44and we said, "Hey, good news.
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11:44 - 11:45Average likelihood is 30 percent,"
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11:45 - 11:50the left inferior frontal gyrus would respond fiercely.
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11:50 - 11:52And it didn't matter if you're an extreme optimist, a mild optimist
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11:52 - 11:54or slightly pessimistic,
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11:54 - 12:00everyone's left inferior frontal gyrus
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12:00 - 12:00was functioning perfectly well,
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12:00 - 12:04whether you're Barack Obama or Woody Allen.
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12:04 - 12:05On the other side of the brain,
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12:05 - 12:10the right inferior frontal gyrus was responding to bad news.
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12:10 - 12:14And here's the thing: It wasn't doing a very good job.
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12:14 - 12:16The more optimistic you were,
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12:16 - 12:17the less likely this region was
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12:17 - 12:21to respond to unexpected negative information.
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12:21 - 12:23And if your brain is failing
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12:23 - 12:28at integrating bad news about the future,
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12:28 - 12:32you will constantly leave your rose-tinted spectacles on.
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12:32 - 12:36So we wanted to know, Could we change this?
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12:36 - 12:40Could we alter people's optimism bias
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12:40 - 12:44by interfering with the brain activity in these regions?
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12:44 - 12:47And there's a way for us to do that.
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12:47 - 12:49This is my collaborator Ryota Kanai.
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12:49 - 12:54And what he's doing is he's passing a small magnetic pulse
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12:54 - 12:56through the skull of the participant in our study
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12:56 - 12:58into their inferior frontal gyrus.
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12:58 - 13:00And by doing that,
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13:00 - 13:02he's interfering with the activity of this brain region
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13:02 - 13:05for about half an hour.
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13:05 - 13:06After that everything goes back to normal, I assure you.
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13:06 - 13:08(Laughter)
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13:08 - 13:10So let's see what happens.
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13:10 - 13:15First of all, I'm going to show you
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13:15 - 13:16the average amount of bias that we see.
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13:16 - 13:20So if I was to test all of you now,
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13:20 - 13:22this is the amount that you would learn
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13:22 - 13:24more from good news relative to bad news.
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13:24 - 13:28Now we interfere with the region
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13:28 - 13:31that we found to integrate negative information in this task,
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13:31 - 13:34and the optimism bias grew even larger.
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13:34 - 13:41We made people more biased in the way that they process information.
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13:41 - 13:44Then we interfered with the brain region
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13:44 - 13:48that we found to integrate good news in this task,
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13:48 - 13:50and the optimism bias disappeared.
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13:50 - 13:54We were quite amazed by these results
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13:54 - 13:56because we were able to eliminate
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13:56 - 13:58a deep-rooted bias in humans.
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13:58 - 14:02And at this point we stopped and we asked ourselves,
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14:02 - 14:08Would we want to shatter the optimism illusion into tiny little bits?
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14:08 - 14:13If we could do that, would we want to take people's optimism bias away?
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14:13 - 14:18Well I've already told you about all of the benefits of the optimism bias,
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14:18 - 14:23which probably makes you want to hold onto it for dear life.
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14:23 - 14:24But there are, of course, pitfalls,
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14:24 - 14:28and it would be really foolish of us to ignore them.
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14:28 - 14:31Take for example this email I recieved
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14:31 - 14:34from a firefighter here in California.
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14:34 - 14:37He says, "Fatality investigations for firefighters
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14:37 - 14:40often include 'we didn't think the fire was going to do that,'
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14:40 - 14:43even when all of the available information
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14:43 - 14:46was there to make safe decisions."
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14:46 - 14:50This captain is going to use our findings on the optimism bias
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14:50 - 14:51to try to explain to the firefighters
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14:51 - 14:54why they think the way they do,
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14:54 - 15:00to make them acutely aware of this very optimistic bias in humans.
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15:00 - 15:06So unrealistic optimism can lead to risky behavior,
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15:06 - 15:09to financial collapse, to faulty planning.
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15:09 - 15:12The British government, for example,
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15:12 - 15:16has acknowledged that the optimism bias
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15:16 - 15:18can make individuals more likely
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15:18 - 15:22to underestimate the costs and durations of projects.
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15:22 - 15:26So they have adjusted the 2012 Olympic budget for the optimism bias.
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15:26 - 15:32My friend who's getting married in a few weeks
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15:32 - 15:34has done the same for his wedding budget.
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15:34 - 15:36And by the way, when I asked him about his own likelihood of divorce,
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15:36 - 15:40he said he was quite sure it was zero percent.
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15:40 - 15:42So what we would really like to do,
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15:42 - 15:46is we would like to protect ourselves from the dangers of optimism,
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15:46 - 15:51but at the same time remain hopeful,
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15:51 - 15:52benefiting from the many fruits of optimism.
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15:52 - 15:56And I believe there's a way for us to do that.
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15:56 - 15:57The key here really is knowledge.
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15:57 - 16:00We're not born with an innate understanding of our biases.
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16:00 - 16:03These have to be identified by scientific investigation.
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16:03 - 16:08But the good news is that becoming aware of the optimism bias
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16:08 - 16:10does not shatter the illusion.
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16:10 - 16:12It's like visual illusions,
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16:12 - 16:16in which understanding them does not make them go away.
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16:16 - 16:20And this is good because it means we should be able to strike a balance,
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16:20 - 16:24to come up with plans and rules
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16:24 - 16:26to protect ourselves from unrealistic optimism,
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16:26 - 16:29but at the same time remain hopeful.
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16:29 - 16:33I think this cartoon portrays it nicely.
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16:33 - 16:36Because if you're one of these pessimistic penguins up there
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16:36 - 16:38who just does not believe they can fly,
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16:38 - 16:41you certainly never will.
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16:41 - 16:42Because to make any kind of progress,
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16:42 - 16:46we need to be able to imagine a different reality,
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16:46 - 16:49and then we need to believe that that reality is possible.
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16:49 - 16:52But if you are an extreme optimistic penguin
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16:52 - 16:55who just jumps down blindly hoping for the best,
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16:55 - 16:58you might find yourself in a bit of a mess when you hit the ground.
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16:58 - 17:00But if you're an optimistic penguin
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17:00 - 17:06who believes they can fly, but then adjusts a parachute to your back
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17:06 - 17:08just in case things don't work out exactly as you had planned,
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17:08 - 17:10you will soar like an eagle,
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17:10 - 17:13even if you're just a penguin.
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17:13 - 17:14Thank you.
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17:14 - 17:18(Applause)
- Title:
- The optimism bias
- Speaker:
- Tali Sharot
- Description:
-
Are we born to be optimistic, rather than realistic? Tali Sharot shares new research that suggests our brains are wired to look on the bright side -- and how that can be both dangerous and beneficial.
- Video Language:
- English
- Team:
- closed TED
- Project:
- TEDTalks
- Duration:
- 17:40
Jenny Zurawell edited English subtitles for The optimism bias | ||
Jenny Zurawell approved English subtitles for The optimism bias | ||
Jenny Zurawell edited English subtitles for The optimism bias | ||
Morton Bast accepted English subtitles for The optimism bias | ||
Morton Bast edited English subtitles for The optimism bias | ||
Timothy Covell added a translation |