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    Inverse View

    It is not the case that The history of replication crises shows that mechanically standardized procedures produce systematically correlated errors across laboratories (Ioannidis, 2005).

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

    Reasons For

    1 perspective
    Reason for
    ?
    • 1.Many replication failures stem from *inconsistent* protocol application across labs, not standardized procedures producing correlated errors
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    • 2.Standardized procedures are designed to *reduce* arbitrary variations—attributing failures to them confuses the intended purpose with execution
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    • 3.Ioannidis (2005) argues against low statistical power and selective reporting, not standardization itself; the claim overstates his evidence
      ?

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    Reasons Against

    1 perspective
    Reason against
    ?
    • 1.Standardized protocols can embed shared methodological biases (e.g., p-hacking thresholds, effect size assumptions) that propagate across labs
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    • 2.Publication bias and citation cascades mean labs replicate methods from high-profile studies without questioning their hidden assumptions
      ?

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    • 3.Incentive structures reward novelty over rigor, so standardized 'cookbook' procedures may skip robustness checks that catch local errors
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