How to mistake correlation and causality, from Scientific American

My tweets this morning included a link to a story by Scientific American editor Anna Kuchment, entitled “How to raise a science fair champ”.

How to raise a science fair champ | Scientific American Blog Network

On the one hand, it’s a mildly interesting look at some talented kids who have risen to the top of the increasingly prestigious world of science fairs. But the thing that struck me was how it totally failed to deliver on the promise of the title. The story repeatedly mistakes correlation with causality.

Here’s the basic problem: Kuchment is looking at 15 finalists for the first Google science fair, and trying to determine what they have in common, and then implies that if you can do the same thing with your children, they could join the same kind of elite company as these 15. But that’s a serious mistake, and an incredibly persistent one.

Take for instance this:

Leaving stats aside, the top things finalists named as the foundation of their interest in science was having a family member who was interested in science and making trips to the local science museum.

That seems like an interesting fact, but it is actually not a fact, but just a story. There are plenty of people who aren’t science fair champs (or even interested in science at all) whose family members are interested in science and who take them to science museums. Kuchment is reasoning from the result back to the cause. If one is to actually learn something about what makes science fair champs, one needs to look not just at champions, but all the non-champions as well. And when you do that, I suspect that you’ll find thousands of candidates who have many or all of the distinguishing characteristics of the golden fifteen that Kuchment interviewed, save that they didn’t win science fairs.

As human beings, we are all interested in achievement. Mark Zuckerberg becomes Time Magazine’s Man of the Year because he was the brains behind Facebook. We idolize Steve Jobs because of the meteoric rise of Apple over the last decade. We like to read the stories of the rich and famous, because we hope that if we can just do what they did, that we could attain some small portion of the success that they have. But it is devilishly difficult to learn anything truly useful from the stories of the few, because we naturally don’t hear the stories of the many who did all the same things, but didn’t end up rich and famous.

No doubt that a lot of my current sensitivity to this kind of thinking is coming from the fact I’m currently reading Duncan Watt’s Everything is Obvious: *Once You Know the Answer. It’s an excellent book, and tries to shake our confidence in the common-sense reasoning that we all seem to rely on when we look at the world around us.