New Books In Science

A fundamental problem in science, and in philosophy of science, is that of theory choice. Scientists propose theories to explain data, but when two scientific theories can both explain the same data, what criteria do scientists use to choose between them? And given that even very popular scientific theories can turn out to be wrong, how are the criteria for theory choice related to truth? Do scientists even aim at true theories, as realists hold, or, as anti-realists hold, do they just care that the theories can explain what's observed? In Theoretical Virtues in Science: Uncovering Reality Through Theory (Cambridge University Press, 2018), Samuel Schindler lays out an extended case for realism based on a close critical look at the main virtues that scientific theories are thought to aim for besides empirical adequacy, such as simplicity, explanatory scope, and fruitfulness. On Schindler's view, the extra-empirical virtues are also epistemic: for example, a simpler theory is also more likely to be true, and so