WEIRD (Western, education, industrialized, rich, democratic) people may indeed be weird

A new article in Brain and Behavioral Sciences makes a thought-provoking cross-cultural conclusion about WEIRD people:

The article, titled “The weirdest people in the world?”, appears in the current issue of the journal Brain and Behavioral Sciences. Dr. Henrich and co-authors Steven Heine and Ara Norenzayan argue that life-long members of societies that are Western, educated, industrialized, rich, democratic — people who are WEIRD — see the world in ways that are alien from the rest of the human family. The UBC trio have come to the controversial conclusion that, say, the Machiguenga are not psychological outliers among humanity. We are…

WEIRD people, the UBC researchers argue, have unusual ideas of fairness, are more individualistic and less conformist than other people. In many of these respects, Americans are the most “extreme” Westerners, especially young ones. And educated Americans are even more extremely WEIRD than uneducated ones…

One of the consequences of this argument that is pointed out by the authors is that WEIRD people are then a bad population for studies and experiments because the results may not be generalizable.

I wonder how average Westerners and Americans in particular would react after reading this argument. Perhaps it might fit in with some of the ideas regarding “American exceptionalism” – though whether this is good or bad could be debated.
Regardless, if other researchers agree with these conclusions, it suggests that social science studies about humanity need to be expanded across the globe. The era of the undergraduate research subject might then be over.

Quick Review: The Canon

When recently at the Field Museum in Chicago, I encountered several books in the bookstore. I tracked down one of them, a former bestseller, down at the library: The Canon: A Whirligig Tour of the Beautiful Basics of Science by Natalie Angier. A few quick thoughts about the book:

1. This book is an overview of the basic building blocks of science (there are the chapters in order): thinking scientifically, probabilities, scale (different sizes), physics, chemistry, evolutionary biology, molecular biology, geology, and astronomy. Angier interviewed a number of scientists and she both quotes and draws upon their ideas. For someone looking for a quick understanding of these subjects, this is a decent find. From this book, one could delve into more specialized writings.

2. Angier is a science writer for the New York Times. While she tries to bring exuberance to the subject, her descriptions and adjectives are often over the top. This floweriness was almost enough to stop me from reading this book at a few points.

3. To me, the most rewarding chapters were the first three. As a social scientist, I could relate to all three of these and plan to bring some of these thoughts to my students. Thinking scientifically is quite different than the normal experience most of us have of building ideas and concepts on anecdotal data.

a. A couple of the ideas stuck out to me. The first is a reminder about scientific theories: while some think a theory means that it isn’t proven yet so it can be disregarded, scientists view theories differently. Theories are explanations that are constantly being built upon and tested but they often represent the best explanations scientists currently have. A theory is not a law.

b. The second was about random data. Angier tells the story of a professor who runs this activity: at the beginning of class, half the students are told to flip a coin 100 times and record the results. The other half of the students are told to make up the results for 100 imaginary coin flips. The professor leaves the room while the students do this. When she returns, she examines the different recordings and most of the time is able to identify which were the real and imaginary results. How? Students don’t quite understand random data; usually after two consecutive heads or tails, they think they have to have the opposite result. In real random data, there can be runs of 6 of 7 heads or tails in a row even as the results tend to average out in the end.

Overall, I liked the content of the book even as I was often irritated with its delivery. For a social scientist, this was a profitable read as it helped me understand subjects far afield.

Thinking about economics: science or ideology?

Barbara Kiviat discusses whether economics is a science or an ideology. Part of her conclusion:

And when you think about it, it is a little odd that we think economics would be able to do these things. After all, the economy is as much a product of sociology and policy as it is pure-form economics. Yet we’d not expect a sociologist or a political scientist to be able to write a computer model to accurately capture system-wide decision-making. The conclusion I’ve come to: while economists may have an important perspective on whether it’s time for stimulus or austerity, maybe we should stop looking to them as if they are people who are in the ultimate position to know.

Sociologists have been arguing for some time now that sociology has a lot to say about economics, including about how cultural values and ideology guide economic decision-making and actions.