Correlation proves causation (cum hoc ergo propter hoc) – a faulty
assumption that correlation between two variables implies that one causes the
other.[27]
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……There’s much more…..
Suppressed correlative – where a correlative is
redefined so that one alternative is made impossible.[28] The fallacy of suppressed
correlative is a type of argument that tries to redefine a correlative (one
of two mutually exclusive options) so that one alternative encompasses the
other, i.e. making one alternative impossible.[1] This has also been known as the fallacy of
lost contrast[2] and the fallacy of the suppressed relative.[3]…..There’s much 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]
My List
Argumentumad hominem
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