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…..

Taxonomy of Logical Fallacies

· 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

Anecdotal fallacy

Appeal to probability

Appeal to Stone (Argumentum ad lapidem)

Argument from ignorance

Argument to moderation

Argument from repetition

Argument from silence

Argumentum ad hominem

Base rate fallacy

Begging the question

(shifting the) Burden of proof

Conjunction fallacy

Unwarranted assumption fallacy