Generically? Elementary school scientific method: By formulating a hypothesis, then testing the hypothesis. Hypothesis: The recent rise in global average tempe

Generically? Elementary school scientific method: By formulating a hypothesis, then testing the hypothesis. Hypothesis: The recent rise in global average temperature is caused by man-made increase in emissions of CO2. Now, how do you test? Well, we could just stop making CO2, wait 50 years and see if the temperature goes down. But then that's only one data point, and you haven't controlled other potential factors. One big one: The sun doesn't always put out the same amount of energy. So now you need to make sure the sun's heat output remains constant in order to test if a 50 year elimination of CO2 output stops the global temperature rise. But wait...what if the sun's output has been increasing over the last 50 years? That could have caused the temperature rise you formed your hypothesis about. If you stop the increase of the sun's output, and you stop the CO2 output, now you have two variables that you've changed, and you can't say, with any sort of certainty, which one caused the temperature to quit rising. Neither of these options are really practical, so, instead, we try to create a mathematical model of the entire system, feed it the data that we do have, and try to model the expected results. Models fail routinely. Lets take hurricane models for example: They're right, sometimes, their kinda right, sometimes, and their wrong, a lot. Why do you think that is? Their inaccurate and don't have sufficient data points. A perfect model would take every single variable in an entire system, know with certainty their effect on the system as a whole, and it would never be wrong. Some systems we have that luxury. Earth's atmosphere is not one of those. We do not know even know what every single variable is. We don't know with certainty what effect the variable has on the system, so we can only model it with a best-guess approach. If someone in 1980 looked at this[1] chart, they would conclude with a great deal of certainty that solar activity is the cause of temperature fluctuations over the last 100 years. After 1980, that no longer appears to be true. But global carbon emission have been sharply increasing since 1880[2]. So what logic concludes that CO2 can go up for 100 years, without causing an increase in global temperature, but as soon as the global temperature stops tracking solar output, assign the cause to CO2? I'm not saying CO2 isn't the cause. I'm certainly not qualified to make that determination, and a qualified person probably wouldn't make that determination because they wouldn't have enough information to do so. But it certainly wouldn't hurt to eliminate our reliance on burning hydrocarbons for energy. This has more benefits than just reducing CO2 output. We need better data and a better model, since we can't actually experiment. [1] http://icons.wxug.com/metgraphics/climate/facts/Solar_vs_Temp_basic.gif http://icons.wxug.com/metgraphics/climate/facts/Solar_vs_Tem... [2] http://cdiac.ornl.gov/trends/emis/graphics/global.total.gif http://cdiac.ornl.gov/trends/emis/graphics/global.total.gif