What is false causality? Why do we assume causality where there is none? Humans struggle to interpret cause and effect because they confuse correlation with causation, assuming causality where there is none. For example, if a person gets the flu after they start taking vitamins, they might assume a causal relationship—taking vitamins gave them the flu—simply because the timing coincides. Let’s consider some ways the assumption of causality (where there’s none) impairs logic.
False Causality: Correlation Doesn’t Equal Causation
