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William M. Briggs is a statistician who speaks about his experiences as a dissonant scientist and his skepticism of climate change and global warming. He criticizes climate change as a nonsensical and meaningless term that refers to anything bad that happens and argues that if global climate models cannot beat persistence in making predictions, then they should not be used. Briggs discusses situations such as the over-reliance on models by government experts where the alleged benefits of closing down farms are only model-produced benefits with no actual benefit, and after the COVID-19 pandemic, people are starting to realize that experts' solutions are not always based on the people's best interests. He argues that any model that exists should make predictions that can be checked by anyone so that there is transparency, which is currently lacking in climatology. Additionally, Briggs believes that most people care about the impacts of climate change on their daily lives, but the forecasts are uncertain and rely heavily on models, and people should not be certain about anything that is being said about climate change.
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