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Anticipating Instability (Assessing and Removing Risks Before They Happen)

List Price: $75.00
SKU:
9780262553759
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  • Product Details

    Author:
    Bruce Bueno De Mesquita, Alastair Smith
    Format:
    Paperback
    Pages:
    432
    Publisher:
    MIT Press (December 23, 2025)
    Imprint:
    The MIT Press
    Language:
    English
    Audience:
    General/trade
    ISBN-13:
    9780262553759
    ISBN-10:
    0262553759
    Weight:
    17.55oz
    Dimensions:
    6" x 9" x 1.18"
    File:
    RandomHouse-PRH_Book_Company_PRH_PRT_Onix_full_active_D20260405T164452_155746761-20260405.xml
    Folder:
    RandomHouse
    List Price:
    $75.00
    Country of Origin:
    United States
    Pub Discount:
    65
    Case Pack:
    20
    As low as:
    $57.75
    Publisher Identifier:
    P-RH
    Discount Code:
    A
    QuickShip:
    Yes
  • Overview

    A theory of politics that looks at what did not happen—or non-events—to explain policy change, economic development, democratization, and “autocratization.”

    Anticipating Instability puts forward a general theory of politics that attempts to explain the very many destabilizing political events in history that did not happen. Although most of us do not pay close attention to what did not occur, research shows that fear of non-events does more to redefine how people are governed than does the actual realization of coups and revolutions.

    In unraveling the dogs that didn’t bark, Bruce Bueno de Mesquita and Alastair Smith analyze how, when, and why leaders who believe their hold on power is at risk focus their political survival efforts on adjusting their policy choices or shifting their government’s accountability. Such adjustments are the essential factors that determine whether a society becomes freer, more transparent, and prosperous—or more oppressive, corrupt, and impoverished.

    The book is unique in that it develops a general theory of politics using game theory reasoning and then tests dozens of hypotheses derived from the theory’s logic using both statistical methods and illustrative case studies.