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Election forecasting is a nonfiction category focused on the methods, data, and theory used to predict electoral outcomes and understand why forecasts succeed or fail. Books in this genre cover polling methodology and adjustment, statistical and machine-learning models, forecasting markets and expert judgment, historical case studies of notable elections, and practical issues like turnout modeling, uncertainty communication, and ethical implications for democracy. They blend political science, statistics, and data journalism to explain how forecasts are built, validated, and interpreted by journalists, analysts, campaigns, and the public. Suitable for practitioners and general readers, the category ranges from technical handbooks and textbooks to accessible narratives and critiques that explore the promise and limitations of trying to predict voter behavior.

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