The third-variable problem occurs when a correlation between two variables is influenced by an unseen third variable, leading to misleading interpretations of the relationship. This can complicate the understanding of how two variables are related and whether one causes the other. It highlights the need for caution when interpreting correlational data, as the presence of a third variable can create spurious correlations that do not accurately reflect causal relationships.
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