A clear, non‑mathematical look at how probability sits with logic and real life, not just numbers.
The Logic of Chance examines the foundations and scope of the theory of probability, with special reference to its use in moral and social science. It emphasizes that understanding probability need not require advanced mathematics, yet it connects logical principles to practical inference and evidence. The work argues for a careful view of how general principles relate to individual cases, and it clarifies the relationship between probability, induction, and logic, especially in social contexts.
Written to be accessible and rigorous, the book invites readers to see how statistical regularities emerge in human actions, how data should be collected, and how inferences are made about unknown future events. It rejects a purely mathematical view of probability and instead treats probability as a guide to rational belief and evidence in real-world inquiry.
- Distinguishes between probability, causation, and induction, showing how they interact in reasoning.
- Explains how to approach data when individual cases are irregular but large groups show patterns.
- Illustrates how statistics can inform moral and social questions without losing emphasis on logic.
- Offers a practical framework for using probability to make informed judgments about the future.
Ideal for readers interested in philosophy of science, statistics, and the foundations of social inquiry.