Cartwright's distinction between causal and phenomenological laws shows that joint probability distributions describe correlational patterns without entailing any particular causal topology.

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Cartwright(in philosophy of science): Nancy Cartwright, a philosopher of science who argued against certain popular theories about how causation works, particularly the 'manipulability account.'
Causal laws(the general principles governing cause and effect): Rules of nature that describe how one thing causes another to happen—the predictable patterns we see in the world.
Causal topology(what the statement says correlational patterns don't necessarily show): The overall structure of which things cause which other things—basically, a map of how causes connect to effects in a system.
Correlational patterns(what probability distributions describe): Situations where two things tend to happen together or change together, without necessarily one causing the other (like ice cream sales and swimming pool visits both increase in summer).

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