The concept of anthropogenic global warming comes with massive policy implications attached. My gut reaction is that it’s grossly exaggerated at best. But it would be unwise to discount the theory without examining it thoroughly. While my knowledge of science is very limited, I would like to look at it through statistical methods, which would require the following:

I. Data

a. Global temperature record; methodology and uniformity of data collection locations over time in obtaining this data.

b. CO2 record; same as with temperature.

II. Analysis

a. Run a regression with a linear and a quadratic term. Confirmation requires a significant positive coefficient for the x term and the absence of a significant negative coefficient for the x^2 term.

b. Introduce quantifiable non-anthropogenic factors into the regression. Check for multicollinearity.

c. Ignorance-fighting! Profit! Beer!

I’m set on the number-crunching aspect of it via access to Stata at school for another month. Finding the complete data presents more difficulty. Anyone with me?