As an undergraduate, I had to write a paper for my evolution class on some mystery of evolution. I wanted to pick a topic I didn’t think my professor would know too much about, so I decided to research why human females have menstrual periods. It is a classic example of trying to determine the evolutionary cost/benefit to a part of half the population’s lives. Barash and Lipton (a husband/wife team of evolutionary biologist and psychiatrist) examine this and a handful of other “women’s mysteries” in this highly entertaining, well researched and approachable book.
This book is clearly intended for the reader who may not know all the details behind the theory of evolution, such as sexual versus natural selection or adaptive versus nonadaptive mutations. By reading this book, you’ll not only learn what those mean, you will gain insight into how a wide array of scientists contribute to the explanation of evolutionary mysteries.
While the chapter on menstruation was old news to me (almost all of the research I used in my paper was used by these authors, though they did leave out a random hypothesis about soy consumption), the chapters on breasts, orgasm, ovulation, and menopause were new. They even took some of the theories I had just accepted (such as breasts being a mimic of the buttocks and orgasm in women being akin to nipples on men—they are just there because of fetal development) and pointed out the flaws with those theories, the support and flaws for other theories, and their own theories. Unlike many books on similar topics, these authors concede that 1) there is no way one theory could explain everything about any of these topics; a constellation of factors could be at play and 2) they just don’t and can’t know all the answers.
Because this book was intended for a non-specialist crowd, some of the information tends to be repeated and some details are left out. However, I think most specialists or even courses on evolution would enjoy adding comments to this book. And let’s face it, half the fun of books showing us an array of hypotheses is ripping them to shreds! ( )