Doom: The Politics of Catastrophe

Niall Ferguson

"All disasters are in some sense man-made." Setting the annus horribilis of 2020 in historical perspective, Niall Ferguson explains why we are getting worse, not better, at handling disasters. Disasters are inherently hard to predict. Pandemics, like earthquakes, wildfires, financial crises. and wars, are not normally distributed; there is no cycle of history to help us anticipate the next catastrophe. But when disaster strikes, we ought to be better prepared than the Romans were when Vesuvius erupted, or medieval Italians when the Black Death struck. We have science on our side, after all. Yet in 2020 the responses of many developed countries, including the United States, to a new virus from China were badly bungled. Why? Why did only a few Asian countries learn the right lessons from SARS and MERS? While populist leaders certainly performed poorly in the face of the COVID-19 pandemic, Niall Ferguson argues that more profound pathologies were at work--pathologies already visible in our responses to earlier disasters. In books going back nearly twenty years, including Colossus, The Great Degeneration, and The Square and the Tower, Ferguson has studied the foibles of modern America, from imperial hubris to bureaucratic sclerosis and online fragmentation.

Politics & GovernmentPolitics & Government · medium confidencePolitics & Government81 signalsLlm Classifier: Politics & Government -> Politics & GovernmentGoogle Books: Political Science -> ScienceGoogle Books: Political Science -> Politics & GovernmentClimate, Weather & DisasterDisease, Epidemics & DrugsScience & DiscoveryBlack History & Culture
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.

    These suggestions did not meet the normal display threshold and are more likely to be wrong.

    • United States62%
  3. 03 Suggested argument

    Disasters are man-made and inherently hard to predict, so countries should be better prepared; the 2020 COVID-19 failures reflected deeper pathologies beyond populist leadership.

    Model confidence 66%

  4. 04 Reading orientation

    42 / 100 academic

    Trade / academic crossover

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

Confidence percentages are the model's own estimates. Profile confidence: 78%.