I see that you're as retarded as the CrazyFruitcake (and that ain't easy). And talk about "
mathematically challenged".....LOLOLOLOL.
Scientific measurements of levels of CO2 contained in cylinders of ice, called ice cores, indicate that the pre-industrial carbon dioxide level was 278 ppm. That level did not vary more than 7 ppm during the 800 years between 1000 and 1800 A.D.
(source:
NOAA)
Current CO2 levels - December 2012: 394.28 ppm
(source:
NOAA)
394 minus 278 equals 116
116 (growth) divided by 278 (original value) equals 0.417 or a bit over 40% increase over pre-industrial levels.
You silly moron.
Big ******* deal.
CORRELATION DOES NOT EQUAL CAUSATION!
LOLOLOLOLOLOLOL......too funny.....you just got your ass handed to you again ("
mathematically challenged"???) so you try to change the subject with another debunked denier cult slogan.....LOLOLOL....
How many times do we have to go over this.....every thread?....multiple times per thread?....I just educated you about this in
post #134 on another thread but apparently it didn't sink in (of course, as usual) so let's try it again....try to pay attention this time, you poor deluded moron.....NOBODY is claiming that "correlation equals causation"....got that?....
nobody!....however, you brainless buffoon, correlation does not
preclude causation either....causation is determined using more evidence than just statistical correlation but there
is obviously a strong correlation between events that are causally connected....(too bad that's probably over your head, walleyed)....the evidence for anthropogenic global warming is based on far, far more evidence than just the statistical correlation between increases in CO2 levels and increases in global average temperatures.....
The poor ol' walleyedretard, like many of the denier cult nutjobs, is obsessed with the phrase "
correlation does not equal causation" without understanding the meaning or realizing that a necessary word has been left out of that quote. The actual phrase used in science is "
correlation does not necessarily equal causation". There are actually many examples of things that not only correlate strongly but also have a causal relationship. Correlation between two things does not in any way imply that a causal relationship is impossible or even improbable. Climate scientists do not, of course, think that correlation
proves causation but they are aware that some of the factors in the Earth's climate systems that are strongly correlated with other factors are, in fact, being caused by those other factors. Causation is determined by analyzing everything involved and not just by looking at correlations but the correlations often give a hint as to possible causal factors.
Correlation does not imply causation
From Wikipedia,
the free encyclopedia
"Correlation does not imply causation" is a phrase used in science and statistics to emphasize that a correlation between two variables does not necessarily imply that one causes the other. [1][2] Many statistical tests calculate correlation between variables. A few go further and calculate the likelihood of a true causal relationship; examples are the Granger causality test and convergent cross mapping.
Use of correlation as scientific evidence
Much of scientific evidence is based upon a correlation of variables[17] – they tend to occur together. Scientists are careful to point out that correlation does not necessarily mean causation. The assumption that A causes B simply because A correlates with B is a logical fallacy – it is not a legitimate form of argument. However, sometimes people commit the opposite fallacy – dismissing correlation entirely, as if it does not imply causation. This would dismiss a large swath of important scientific evidence.[17]
In conclusion, correlation is an extremely valuable type of scientific evidence in medicine. But first correlations must be confirmed as real, and then every possible causational relationship must be systematically explored. In the end correlation can be used as powerful evidence for a cause and effect relationship between a treatment and benefit, or a risk factor and a disease.