Long on my "must read" list, I finally picked up Freakonomics (by Steven D. Levitt and Stephen J. Dubner) this weekend, and discovered a fascinating book about interesting questions.
Questions that are not often asked, but once posed are seen at once to cut to the fundamentals of our society, but also usually discarded as unanswerable. That seems to be the trick that Steven Levitt has perfected (the economist in the writing team): fixing on an "imponderable" question, and then ingeniously hunting down the situations and data that let him lock an answer within his sights. What seems to set him apart from other economists is his willingness and ability to collaborate across disciplinary lines when it is the best way to an answer. What the authors talk about as an a-disciplinary approach. Levitt apparently has more in common with Sherlock Holmes that Milton Friedman. There is an interesting congruence with Malcolm Gladwell's The Tipping Point  (which I've also recommended before). While they intersect on some common examples (such as the broken windows theory), each book takes away something different. Gladwell is of course intrigued by the inflexion - how closely can you isolate and identify the point at which things tip? What is the mechanism that causes the worm to turn?Freakonomics on the other hand is seeking to explain why things are the way the are (whether steady-state, trend or tipping point). The search for causality not just correlation. No less than the search for truth! Of course the more interesting investigations are the ones that show truth to be at odds with conventional wisdom! NB: if you like this kind of questioning, checkout PsyBlog. I came across this recently and it has some great articles. The authors are strident in professing that there is no central theme to this book, but I think that is disingenuous. I'd suggest that the book as a whole is an object lesson in the dangers of being lead by theories based on observation, which can lead to very different conclusions than those based on careful data analysis. It is a convincing polemic warning us against naive acceptance of conventional wisdom, theorists and experts of all kinds. An expert must be bold if he hopes to alchemize his homespun theory into conventional wisdom. As Gil Grissom would say: Let the evidence speak for itself.. |