Scientists spend their careers trying to understand how the world works. Yet even in their own specialties, complete understanding may remain elusive. That idea lies at the center of a new article by Richard Shiffrin, distinguished and Luther Dana Waterman professor of Psychological and Brain Sciences in the College of Arts and Sciences at Indiana University Bloomington, Stephen Stigler of the University of Chicago, and Frank Keil of Yale University.
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Richard Dawkins’ first work has thrilled fans and frustrated critics for five decades. The science has moved on, but any writer looking to supplant its place must learn its lessons Richard Dawkins’ The Selfish Gene was not predicted to be a success. Its initial print run, published this week in 1976, was just 5,000. It went on to sell millions, and is perhaps the most influential work of pop-science ever. For 50 years, it has been the go-to resource for the layperson seeking to understand evolution. What accounts for its enduring power? Prof Dawkins’ central claim, that “we are survival machines – robot vehicles blindly programmed to preserve the selfish molecules known as genes” was provocative, stripping the messy stuff of human and other life down to a simple law. And yet the book is primarily concerned with proving that complex, selfless behaviour such as altruism in animals can emerge from these basic “selfish” drives, satisfyingly resolving an apparent paradox. Prof Dawkins – a zoologist by training – also succeeded in conjuring entertaining, vividly drawn vignettes of the lives of animals, from lions and ants to hawks and honeybees, to make his points. Do you have an opinion on the issues raised in this article? If you would like to submit a response of up to 300 words by email to be considered for publication in our letters section, please click here . Continue reading...
Scientists have voted to change how the world keeps time, but most people won't even notice. NPR's Scott Simon talks to Philippe Richard, director of Switzerland's Federal Institute of Metrology.

