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    Scientists must make decisions—such as setting thresholds... — Carmelics
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    Supports→Non-epistemic values (such as ethical value judgements) legitimately enter into stages internal to scientific reasoning, including data collection and interpretation.

    Scientists must make decisions—such as setting thresholds for statistical significance—that cannot be resolved by empirical data alone.

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    Non-epistemic values (such as ethical value judgements) legitimately enter into ...Such decisions require balancing the acceptability of false positives against fa...The responsibility for these decisions cannot be offloaded to non-scientists.

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    Any such determination requires an argument that the chosen threshold ...77%Theory choice is underdetermined by empirical evidence.74%Setting the threshold for a statistically significant difference betwe...74%For most choices of threshold t, beliefs defined by probabilistic thre...74%

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    Similarly, fine points can be made about the nature of values involved in these various contexts. Such clarification is likely important for determining whether the contribution of certain values in a given context is deleterious or salutary, and in what sense. Douglas (2013) argues that the ‘value’ of internal consistency of a theory and of the empirical adequacy of a theory with respect to the available evidence are minimal criteria for any viable scientific theory (799–800). She contrasts the

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