Dark Money: The Hidden History of the Billionaires Behind the Rise of the Radical Right

Jane Mayer

Why is America living in an age of profound economic inequality? Why, despite the desperate need to address climate change, have even modest environmental efforts been defeated again and again? Why have protections for employees been decimated? Why do hedge-fund billionaires pay a far lower tax rate than middle-class workers? The conventional answer is that a popular uprising against "big government" led to the ascendancy of a broad-based conservative movement. But Jane Mayer argues that a network of exceedingly wealthy people with extreme libertarian views bankrolled a systematic, step-by-step plan to fundamentally alter the American political system. Their core beliefs -- that taxes are a form of tyranny; that government oversight of business is an assault on freedom -- are sincerely held.

Politics & GovernmentPolitics & Government · medium confidencePolitics & Government81 signalsLlm Classifier: Politics & Government -> Politics & GovernmentKeyword Classifier: American History -> American HistoryKeyword Classifier: Business & Economics -> Business & EconomicsBusiness, Capitalism & CorporationsMoney, Markets & Economic PolicyEnergy, Extraction & Resources
Experimental book profileGenerated by GPT-5.4 nano · may contain inaccuracies

This is an unverified interpretation of the catalog description, offered as an opt-in discovery experiment—not as bibliographic fact.

  1. 01 Central figures

    None extracted with sufficient confidence.

  2. 02 Central places

    None extracted with sufficient confidence.

  3. 03 Suggested argument

    A network of extremely wealthy, extreme libertarian financiers bankrolled a systematic, step-by-step plan that fundamentally altered the American political system.

    Model confidence 78%

  4. 04 Reading orientation

    35 / 100 academic

    Serious trade

    An estimate of intended readership and scholarly apparatus—not quality or importance.

Confidence percentages are the model's own estimates. Profile confidence: 72%.