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    Home/Original/inverse
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    Inverse View

    It is not the case that Cases with structurally different causal histories belong to different explanatory types, regardless of phenomenological similarity at the level of sense-data.

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    Reasons For

    1 perspective
    Reason for
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    • 1.Explanatory type classification should track what matters for prediction and intervention. If causal differences produce identical observable outcomes, they may not constitute different explanatory types.
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    • 2.Occam's razor favors unified explanations. Multiplying explanatory types based on unobservable causal differences violates parsimony without empirical justification.
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    • 3.Phenomenological similarity at the level of sense-data is precisely what determines explanatory adequacy for most practical purposes and scientific applications.
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    Reasons Against

    1 perspective
    Reason against
    ?
    • 1.Explanation aims to reveal underlying mechanisms, not merely describe appearances. Identical appearances from different causes represent genuinely different explanations.
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    • 2.Scientific understanding requires causal-mechanistic knowledge. Two systems with identical phenomenology but different causal structures require distinct scientific explanations.
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    • 3.Counterfactual dependence varies with causal structure. Systems with different causal histories show different modal properties, so they belong to different explanatory types.
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