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Beenstock et al. (love that name) uses a statistical method (polynomial cointegration) to test climate warming factors. They test GHGs, aerosols, solar irradiance and water vapor along with a number of global temperature series.

They conclude "We have shown that anthropogenic forcings do not polynomially cointegrate with global temperature and solar irradiance. Therefore, data for 1880–2007 do not support the anthropogenic interpretation of global warming during this period."

"However, we find that greenhouse gas forcings might have a temporary effect on global temperature....If the effect is temporary rather than per- manent, a doubling, say, of carbon emissions would have no long-run effect on Earth’s temperature, but it would in- crease it temporarily for some decades. Indeed, the increase in temperature during 1975–1995 and its subsequent stabil- ity are in our view related in this way to the acceleration in carbon emissions during the second half of the 20th century"

" with all hypotheses, our rejection of AGW is not absolute; it might be a false positive, and we cannot rule out the possibility that recent global warming has an anthropogenic footprint. However, this possibility is very small, and is not statistically significant at conventional levels."

Polynomial cointegration tests of anthropogenic impact on global warming

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