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  • Welcome. I came here today to warn you

  • about the dangers of ice-cream.

  • You may not be aware of this,

  • but these innocent looking cones full of sweetness

  • are one of the major causes of drownings.

  • And I've got the numbers to prove it.

  • So, if you plot a graph of the number of ice-creams that are sold,

  • and you compare it with the number of drownings,

  • you can see there is clearly an upwards trend,

  • and I think it's very safe to conclude from this

  • that we should ban ice-cream because it's very dangerous.

  • (Laughter) (Applause)

  • Since you're all smart people,

  • you've probably figured out

  • there's something wrong with my example.

  • What's really happening here is, of course,

  • that there is an underlying factor,

  • which is nice weather, you might have guessed it.

  • And if the weather is nice,

  • more people will go out swimming,

  • and unfortunately drown, and at the same time,

  • more people will buy ice-cream.

  • And it's not the ice-cream that's causing the drownings.

  • And here it's really easy to see that

  • there is something wrong,

  • but jumping to an incorrect conclusion about causality

  • when you see a correlation

  • is the most often made logical mistake.

  • And today my goal is to make sure that

  • in the future you can recognize this mistake.

  • And I really hope you can avoid making it

  • in the future for yourselves.

  • And I'll do this by just giving some famous examples.

  • And the first one is really rather innocent.

  • The fact is that

  • married men live longer than single men.

  • If you look at the statistics, you see that

  • this is really happening.

  • And women's magazines, they like to conclude from this

  • that marriage is very healthy for men,

  • because it makes them live longer.

  • Well, a friend of mine, he likes to joke that

  • marriage mainly makes life seem longer,

  • but -- (Laughter) --

  • that's because his wife is --

  • (Cheers) (Applause)

  • But so, can anyone guess what's going on here?

  • Because there is a causal relation,

  • but it's the other way around.

  • The fact is that men who are healthy,

  • and rich, and well educated,

  • and have a much higher life expectancy,

  • these are the men that are much more likely

  • to find a wife -- that's the way women are --

  • and the guys who have a very low life expectancy,

  • so they're unhealthy and poor,

  • they are not as likely to get married.

  • So it's the high life expectancy

  • that is causing the marriage,

  • not the other way around.

  • Well, and this, of course, you know,

  • it's not so serious, no one will get married

  • just because he read this.

  • So let's move to a more serious example.

  • It was also more serious research.

  • In Nature there was a study in 1999 that showed

  • that young kids who sleep with the lights on,

  • that they have a much higher probability

  • of becoming short-sighted later in life.

  • But the researchers, they were smart,

  • and they wrote very careful

  • that they had found a correlation,

  • and they didn't know how the causal relation might work,

  • but just to be sure they advised all parents

  • to turn off the lights at night.

  • And in the popular media this became that

  • bed lamps were night abuse, children's abuse,

  • and that it was very bad

  • if parents used lamps in the bedroom.

  • And many parents were worried.

  • I can imagine, if this would have happened

  • when my son was sleeping with the lights on,

  • I would had felt really bad.

  • But luckily, the article had to be corrected

  • the next week, and maybe some of you can guess,

  • and if there are biologists in the audience, they know.

  • Short-sightedness is genetic.

  • And so, it's parents who are short-sighted.

  • And those are the parents who like to

  • leave the light on in the bedroom,

  • and they also are the parents

  • who have short-sighted kids.

  • So again, a simple mistake, easy to make.

  • Then, what is I think the worst example I know --

  • I know many of them,

  • I see at least one of these

  • in the newspapers every week.

  • But this is a classic one: in the '70s,

  • researchers found that there is a very strong link

  • between kids who do well in school, get good grades,

  • and kids who have a high self-esteem.

  • And they concluded from this

  • that it's very important to make sure that

  • young kids are, you know, raised

  • to be confident and proud of themselves,

  • because if their self-esteem is high,

  • the good results will follow.

  • And this forethought was told to parents,

  • especially in the US, for generations,

  • that just make sure that your kid is proud and confident,

  • then all will turn out well.

  • And many years later, someone did another study

  • just to see in which

  • direction the cause was working.

  • And they found that it was in the opposite direction.

  • So the good grades were causing the self-esteem,

  • and self-esteem wasn't causing good grades.

  • And it was even worse.

  • So kids who are raised just to have high self-confidence,

  • and not excel at anything --

  • it can be sports or music,

  • doesn't have to be school --

  • the kids who are just proud of themselves,

  • and then fail at everything,

  • in the end they will have a very low self-esteem,

  • and not be able to make anything of their life.

  • So this was a very serious correlation mistake.

  • And what I want for today is for you

  • to remember that the next time

  • someone wants to prove that there is a causal relation

  • between something and something else --

  • it can be anything, it can be vaccines and autism,

  • it can be female bankers and the financial crisis,

  • and if they -- (Laughter) -- point out to you

  • that there is a very strong relation,

  • remember that it's not enough to have a correlation.

  • It gives a very good hint of what might be happening,

  • but before you can conclude that one thing causes something else,

  • you need to know why it does and how it does.

  • So, when in doubt, just remember the ice-cream.

  • Thank you very much.

  • (Applause)

Welcome. I came here today to warn you

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A2 初級

TEDx】因果関係と相関関係をごちゃ混ぜにする危険性。イオニカ・スミーツがTEDxDelftで語る (【TEDx】The danger of mixing up causality and correlation: Ionica Smeets at TEDxDelft)

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    Hhart Budha に公開 2021 年 01 月 14 日
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