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Determining causation is difficult because correlation does not imply causation; two variables may be related without one causing the other. Additionally, confounding variables can influence both the supposed cause and effect, complicating the analysis. Experimental control is often necessary to establish causal relationships, but this can be challenging in real-world scenarios where multiple factors interact. Finally, establishing a clear temporal sequence—showing that the cause precedes the effect—is essential but not always straightforward.

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3w ago

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