Presenting an ardent defence of Charles Darwin's theory of evolution, this book offers a clear and comprehensive exposition of Darwin's thinking. Michael Ruse brings the story up to date, examining the origins of life, the fossil record, and the mechanism of natural selection. Rival theories are explored, from punctuated equilibrium to human evolution. The philosophical and religious implications of Darwinism are discussed, including a discussion of Creationism and its modern day offshoot, Intelligent Design Theory. Ruse draws upon the most recent (...) discoveries, writing with a minimum of jargon in order to appeal to all readers, from professional biologists to those concerned that Darwinism is a naturalistic religion that is forced on school children despite their own Christian convictions. Openly revealing his own beliefs, Ruse presents readers with all the information and critical tools they need to make an informed decision on evolutionary theory. (shrink)

The book presents a new way of understanding Darwinism and evolution by natural selection, combining work in biology, philosophy, and other fields.

Population-level theories of evolution—the stock and trade of population genetics—are statistical theories par excellence. But what accounts for the statistical character of population-level phenomena? One view is that the population-level statistics are a product of, are generated by, probabilities that attach to the individuals in the population. On this conception, population-level phenomena are explained by individual-level probabilities and their population-level combinations. Another view, which arguably goes back to Fisher but has been defended recently, is that the population-level statistics are sui (...) generis, that they somehow emerge from the underlying deterministic behavior of the individuals composing the population. Walsh et al. label this the statistical interpretation. We are not willing to give them that term, since everyone will admit that the population-level theories of evolution are statistical, so we will call this the emergentist statistical interpretation. Our goals are to show that: This interpretation is based on gross factual errors concerning the practice of evolutionary biology, concerning both what is done and what can be done; its adoption would entail giving up on most of the explanatory and predictive projects of evolutionary biology; and finally a rival interpretation, which we will label the propensity statistical interpretation succeeds exactly where the emergentist interpretation fails. (shrink)