There are two motivations commonly ascribed to historical actors for taking up statistics: to reduce complicated data to a mean value (e.g., Quetelet), and to take account of diversity (e.g., Galton). Different motivations will, it is assumed, lead to different methodological decisions in the practice of the statistical sciences. Karl Pearson and W. F. R. Weldon are generally seen as following directly in Galton’s footsteps. I argue for two related theses in light of this standard interpretation, based on a reading (...) of several sources in which Weldon, independently of Pearson, reflects on his own motivations. First, while Pearson does approach statistics from this "Galtonian" perspective, he is, consistent with his positivist philosophy of science, utilizing statistics to simplify the highly variable data of biology. Weldon, on the other hand, is brought to statistics by a rich empiricism and a desire to preserve the diversity of biological data. Secondly, we have here a counterexample to the claim that divergence in motivation will lead to a corresponding separation in methodology. Pearson and Weldon, despite embracing biometry for different reasons, settled on precisely the same set of statistical tools for the investigation of evolution. (shrink)

Howard Callaway's new edition of Ralph Waldo Emerson's Society and Solitude is an invaluable contribution to both the primary and secondary literature on Emerson. Its contribution to the primary sources is its use of the original 1870 edition of Emerson's text, though with modernized spellings to facilitate the reader's understanding. Its contribution to the secondary literature consists in the scholarly apparatus of page-by-page annotations, an introduction, a chronology, a bibliography, and an index. Callaway's Society and Solitude is a worthy companion (...) to his earlier edition of Emerson's The Conduct of Life. (shrink)