Hot Air: The Inside Story of the Battle Against Climate Change Denial

Peter A. Stott

The shocking inside story of the fight to halt climate change over the past twenty-five years by a world-renowned scientist. Ours is the age of global warming. Rising sea levels, extreme weather, forest fires. Dire warnings are everywhere, so why has it taken so long for the crisis to be recognised? Here, for the first time, climate scientist Peter Stott reveals the bitter fight to get international recognition for what, among scientists, has been known for decades: human activity causes climate change. Across continents and against the efforts of sceptical governments, prominent climate change deniers and shadowy lobbyists, Hot Air is the urgent story of how the science was developed, how it has been repeatedly sabotaged and why humanity hasn't a second to spare in the fight to halt climate change.

Nature & EnvironmentNature & Environment · medium confidenceNature & Environment81 signalsLlm Classifier: Nature & Environment -> Nature & EnvironmentKeyword Classifier: Nature & Environment -> Nature & EnvironmentTopic Classifier: Climate, Weather & Disaster -> Nature & EnvironmentClimate, Weather & DisasterOceans, Rivers & WaterScience & DiscoveryEnvironment, Conservation & Pollution
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

    Human activity causes climate change, yet international recognition has been delayed by a sustained fight from sceptical governments, prominent deniers, and lobbyists that repeatedly sabotaged the science.

    Model confidence 66%

  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: 68%.