The lady tasting tea : how statistics revolutionized science in the twentieth century

By D. Salsburg. 2002

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Effect Sizes Why, When, and How to Use Them (2009, background): “We wonder whether Fisher’s feud with Karl Pearson (see Gigerenzer et al,, 1989; Salsburg, 2001) might help to explain this curious lapse, for “with controlled experimental conditions,” variants on Pearson’s product-moment correlation are a very convenient way of expressing conclusions.”
The (mis)estimation of neighborhood effects: causal inference for a practicable social epidemiology. (2004, background): “Sampson, R. J. (1991). Linking the micro- and macrolevel”
The psychology of moral reasoning (2008, background): “This sort of inconsistency has led some commentators to conclude that there is no such thing as cause and effect ( Salsburg, 2001, p. 185 ‐ 6). Yet, causation is so deeply embedded in the meanings of words that this view is too drastic (see, e.g., Miller & Johnson-Laird, 1976).”
Composite Ground-Motion Models and Logic Trees: Methodology, Sensitivities, and Uncertainties (2005, background): “Thus, quality control becomes a continuous process, where the most variable aspect of the production line is constantly being worked on.” ( Salsburg, 2001, p. 252 ).”
TOWARDS AN UNDERSTANDING OF STATISTICAL THINKING (2004, background): “Fisher (1890–1962), Jerzy Neyman (1894–1981) and Egon Pearson (1885–1980) built the foundations of modern statistics (see Salsburg, 2001 ).”