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- #161
So, do you use huge fonts as a substitute for your peanut sized mbwebwe?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.
LOLOLOL.....they are called 'headlines', moron. All of the newspapers and magazines use them. Do you fantasize that all of the reporters and editors are compensating for tiny dicks? I personally use various forms of emphasis, like 'bold', large fonts and color, to try to get some accurate information through the thick skulls of tiny-brained retards like yourself. That's hard to do when cretins like you are masturbating and fantasizing about the penis size of other debaters.
So, Walleyed, do you use off topic diversions like this one as a substitute for actually acknowledging that your BS just got debunked? Or are you in denial about that too? LOLOLOL.
No, you bold and enlarge...so you clearly are compensating for a tiny appendage.