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Inverse View
It is not the case that If causation reduces to patterns of association, CDT's appeal to causal structure over evidential structure collapses into a distinction without a difference.
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Reasons For
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Reason for
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1.
Causal patterns are asymmetric (effects don't cause their causes), while statistical association is symmetric. This structural difference persists regardless of reduction.
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2.
Even if causation reduces to patterns, the distinction between confounding and causal pathways remains operationally meaningful and decision-relevant.
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3.
CDT's appeal to causal structure is justified instrumentally: it guides actions toward desired outcomes. This functional role survives reductionist metaphysics.
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Reasons Against
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Reason against
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1.
If causation just is stable correlation patterns, then causal graphs and evidential networks encode identical information about dependencies.
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2.
CDT's decision rule appeals to causal structure to avoid evidential reasoning that updates on agent actions. But pattern-based causation permits this update.
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3.
Without metaphysical causation beyond patterns, CDT loses its principled grounds for privileging one graph structure over another equivalent one.
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