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Humphrey argues against worrying about global warming, suggesting that computer models used to forecast it are unreliable, similar to financial models that failed with subprime derivatives. He recalls mad cow disease as another example where models overpredicted dire outcomes. He claims the computer models focus almost entirely on CO2 and ignore other possible causes, then attribute all warming to CO2, asking if there are other causes.
Claire challenges him, noting the melting icebergs in the Antarctic. Humphrey responds that the melting is caused by warm water masses from the Pacific, not CO2, and Claire asks whether polar bears are becoming extinct. Humphrey dismisses the polar bear issue, asking who they are, and claims the computer models say they are. Claire counters that people have counted more polar bears now than thirty years ago.
The discussion turns to why many people believe in climate concerns, with Humphrey asserting that some scientists do believe it, but many others want the billions of pounds available for research seemingly showing that greenhouse gases cause warming. He asserts that most scientists who disagree cannot get published, journalists love shock horror stories, governments want to appear virtuous to voters, leftists want to bash big oil, and everyone in the BBC and media feel holier-than-thou.
Claire asks about wind farms, and Humphrey responds that wind farms make sense only to businessmen receiving large government grants. He claims there is not enough wind to be practical and states that the total output of all UK wind turbines is less than a quarter of one decent-sized coal-fired power station.
The dialogue conveys a skeptical stance toward the mainstream climate change narrative, highlighting alleged biases in scientists, media, and politicians, and challenging the practicality and efficiency of wind energy. The exchange blends critiques of modeling, attribution of warming to CO2, and economic and political motivations behind climate discourse, with recurring questions about scientific consensus and real-world impacts.