Causation is a concept in statistics and science that explains the direct effect of one variable on another. This entry explores the definition, types, examples, historical context, and special considerations of causation.
Causation vs. Correlation: A comprehensive guide on distinguishing between related events and those where one event causes the other, including historical context, mathematical formulas, charts, examples, and FAQs.
A comprehensive guide to understanding the difference between correlation and causation, including historical context, key events, detailed explanations, examples, and more.
Post Hoc is a term often used in statistical analyses to imply 'after the event.' This article explores its historical context, types, importance, and applicability.
The Post Hoc Ergo Propter Hoc fallacy occurs when it is assumed that if one event follows another, it was also caused by the former. This fallacious reasoning improperly connects unrelated events or causes.
