The Spuriousness of Correlations between Cumulative Values

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

Suggested Citation

Munshi, Jamal, The Spuriousness of Correlations between Cumulative Values (February 1, 2016). Available at SSRN: or

Jamal Munshi (Contact Author)

Sonoma State University ( email )

1801 East Cotati Avenue
Rohnert Park, CA 94928
United States

Do you have negative results from your research you’d like to share?

Paper statistics

Abstract Views
PlumX Metrics