parados wrote:ican...
Your argument is invalid because you refuse to include other factors that are KNOWN to cause temperature to fluctuate.
Let's apply your argument to something you claim to know..
Assume that elevation affects air density.
But I can show that on certain days the air density at a higher elevation is NOT lower than it is at a lower elevation. Following YOUR logic that would show that elevation has no effect on air density.
Heck - I will even make up an algebraic formula that even you can understand.
E = elevation above sea level
D = air density (in Pascals)
E=44.3308-4.94654*D^.234969 (You might even recognize my equation as the real thing.)
But for some reason that equation doesn't work for all altitudes on all days. I guess that shows that elevation doesn't effect air density. There is no cause and effect. All I have to do to make sure the equation doesn't work is not include humidity and temperature when calculating the air densities. This is the same thing you are doing in your silly made up equation by not including the factors KNOWN to affect global temperature like solar radiation.
Thank you! You have made my point better than I did. Yes, we can
accurately presume and express a relationship among any variables we choose, as long as we do not take into account the full range of all the valid significant cause and effect factors. That kind of presumption stuff is exactly what you are doing when you presume human emissions of CO2 are the primary or even partial cause of global warming and other climate changes.
Here's another presumed relationship analogous to the one you presume. It presumes that CO2 ppm increases are causing life expectancy increases in the USA. This presumed relationship matches the actual data only for the years !976 and 2007.
http://www.infoplease.com/ipa/A0005148.html
Life Expectancy at Birth for all USA races and both sexes, 1976-2004
1976=72.9 years; 2004=77.9+0.57=78.47 years; 78.47-72.9 = 5.57 years.
C76 = 330.0 ppm
L76 = 72.9 years
C = C76 + Y x 55/31 = 330.0 + 1.774Y.
Y = (C-330)/1.774
L = L76 + Y x 5.57/31 = 72.9 + 0.1797Y.
Y = (L - 72.9)/0.1797
(C-330)/1.774 = (L - 72.9)/0.1797
L = (0.1797(C-330)/1.774) +72.9
L= 0.101297(C-330) + 72.9
L = 0.101297C -33.42801 +72.9
L = 0.101297C + 39.47199
L = 33.42801 + 39.47199 = 72.9 @ C76 = 330
L = 38.999345 + 39.47199= 78.47 @ C07 = 385
In otherwords, the fact that one can express a particular relationship that is valid for some of the significant data, does not mean that relationship is valid for all the significant data.
