- ix, 274 pages : illustrations ; 24 cm
- Contents: Part I. Introduction -- The central ideas of this book -- Adverse selection: a history of exaggeration -- Part II. Loss coverage -- Introduction to loss coverage -- Basic mathematics of loss coverage -- Further mathematics of loss coverage -- Partial risk classification, separation and inclusivity -- Part III. Further aspects of risk classification -- A taxonomy of objections to risk classification -- Empirical evidence on adverse selection -- Myths of insurance rhetoric -- Myths of insurance economics -- Contexts where adverse selection may be stronger -- Risk classification and moral hazard -- Risk classification and big data -- Part IV. Conclusion -- Summary and suggestions.Includes bibliographical references and index.