13 Pages Posted: 1 Feb 2016 Last revised: 8 Feb 2016
Date Written: February 1, 2016
Monte Carlo simulation shows that cumulative values of unrelated variables have a tendency to show spurious correlations. The results have important implications for the theory of anthropogenic global warming because empirical support for the theory that links warming to fossil fuel emissions rests entirely on a correlation between cumulative values.
Keywords: climate change, global warming, fossil fuel emissions, carbon dioxide, greenhouse gas, Monte Carlo simulation, numerical methods, spurious correlations, cumulative values
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