Evidence and Evolution: The Logic Behind the Science
How should the concept of evidence be understood? And how does the concept of evidence apply to the controversy about creationism as well as to work in evolutionary biology about natural selection and common ancestry? In this rich and wide-ranging book, Elliott Sober investigates general questions about probability and evidence and shows how the answers he develops to those questions apply to the specifics of evolutionary biology. Drawing on a set of fascinating examples, he analyzes whether claims about intelligent design are untestable; whether they are discredited by the fact that many adaptations are imperfect; how evidence bears on whether present species trace back to common ancestors; how hypotheses about natural selection can be tested, and many other issues. His book will interest all readers who want to understand philosophical questions about evidence and evolution, as they arise both in Darwin's work and in contemporary biological research.
What people are saying - Write a review
We haven't found any reviews in the usual places.
Other editions - View all
AIC score ancestry assign assumptions Bayesian biologists causal centimeters cladistic coin common ancestor complex concept consider Darwin data set deﬁned deﬁnition depicted in Figure descendants described design argument dichotomous character drift entails estimate evidential evolution evolutionary biology evolutionary process evolve example fact favor ﬁnd ﬁnite ﬁrst ﬁt ﬁtness function ﬁtted models fossil frequency frequency-dependent selection frequentists fur length higher likelihood human independent inference inﬁnite inﬂuence intelligent design intelligent-design justiﬁed lands heads law of likelihood likelihood ratio likelihoodists lineage logically means model-selection modus tollens natural selection null hypothesis observations optimal organisms Paley Paley’s parsimony phenotypic phylogenetic tree polar bears population posterior probabilities postulated PrðX predictive accuracy prior probabilities probabilistic problem proposition question random reﬂect reject scientiﬁc signiﬁcance tests similarity SPD hypothesis species speciﬁc sufﬁce Suppose testability theorem total evidence trait value transformation series tree true tuberculosis twenty tosses uniﬁed vertebrates