John Kay

This list of books are ONLY the books that have been ranked on the lists that are aggregated on this site. This is not a comprehensive list of all books by this author.

  1. 1. Radical Uncertainty

    Decision-making Beyond the Numbers

    In this thought-provoking exploration of decision-making in an unpredictable world, the authors challenge the conventional reliance on probabilistic models and forecasts. They argue that the future is inherently uncertain and cannot be reduced to mere calculations or predictions. Instead, they advocate for a more nuanced approach that embraces the complexity and ambiguity of real-world situations. By drawing on insights from history, economics, and psychology, the book encourages readers to adopt a mindset that is open to multiple possibilities, fostering resilience and adaptability in the face of unforeseen challenges.

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  2. 2. Other People's Money

    The Real Business of Finance

    An incisive critique of modern finance, arguing that the industry has become vast, complex, and detached from its basic role of linking savers to productive investment. Drawing on crises, mis-selling scandals, and the persistence of too-big-to-fail institutions, it shows how excessive trading, opacity, and misaligned incentives create instability and extract value from the real economy. It advocates practical reforms—simpler structures, credible resolution regimes, stronger fiduciary duties, ring-fencing essential banking, and curbs on speculative activity—to build a smaller, safer system that serves households and businesses rather than itself.

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  3. 3. Obliquity

    Why Our Goals Are Best Achieved Indirectly

    In complex, uncertain environments, the most important objectives—such as profit, happiness, or social impact—are often achieved indirectly rather than by pursuing them head-on. Drawing on examples from business, science, and public policy, this work shows that clear values, flexible goals, and iterative experimentation outperform narrow target-chasing and rigid optimization. It offers a practical approach to navigating complexity by learning, adapting, and letting broader purposes guide decisions.

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