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    LoyalLoyalJusticeJustice
    Made withinDC&Austin
    Home/Original/inverse
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    Inverse View

    It is not the case that A reliable evaluative method must discriminate between projectible and non-projectible properties, a distinction that mere similarity counting cannot supply.

    ?Set your confidence on the premises below to see your aggregate.

    Reasons For

    1 perspective
    Reason for
    ?
    • 1.The projectibility distinction itself relies on prior judgments about which properties matter—it doesn't solve the problem, it relocates it.
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    • 2.Similarity counting, when refined to weight relevant features contextually, can effectively discriminate projectible cases without invoking new metaphysics.
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    • 3.Appeal to projectibility risks circularity: properties project because they're projectible, explaining nothing about why some properties succeed inductively.
      ?

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    Reasons Against

    1 perspective
    Reason against
    ?
    • 1.Projectible properties support inductive inference across time; similarity counting treats past and future cases identically, missing this asymmetry.
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    • 2.Grue-like predicates fool similarity metrics by appearing similar to emeralds until a temporal threshold, yet fail to project meaningfully.
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    • 3.Natural kinds (gold, water) project reliably because they track real causal structures; pure similarity counting cannot access these structures.
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