## Saturday, April 11, 2015

### Logical Fallacy of the Day!

Circular cause and consequence – where the consequence of the phenomenon is claimed to be its root cause.  Correlation does not imply causation - 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.

The counter assumption, that correlation proves causation, is considered a questionable cause logical fallacy in that two events occurring together are taken to have a cause-and-effect relationship. This fallacy is also known as cum hoc ergo propter hoc, Latin for "with this, therefore because of this", and "false cause". A similar fallacy, that an event that follows another was necessarily a consequence of the first event, is sometimes described as post hoc ergo propter hoc (Latin for "after this, therefore because of this")…..To Read More…..

· Formal Fallacies -A formal fallacy is an error in logic that can be seen in the argument's form.[1]All formal fallacies are specific types of non sequiturs.

· Informal fallacies– arguments that are fallacious for reasons other than structural (formal) flaws and usually require examination of the argument's content.[12]

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