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    A hypothesis passes a severe test only if the data agree ... — Carmelics
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    A hypothesis passes a severe test only if the data agree with the hypothesis and the probability is very low that the data agree with the alternative hypothesis.

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    2 reasons against

    Reasons For

    1 perspective
    Reason for
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    • Mayo defines a severe test by two conditions: data agreement with the hypothesis, and low probability that the data agree with the alternative hypothesis.
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    Reasons Against

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    Reason against 1 of 2
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    • 1.Bayesian epistemology (Howson & Urbach) holds that evidential support requires prior probabilities, which severity testing systematically excludes.
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    • 2.A hypothesis with near-zero prior probability can pass Mayo's severity criterion while remaining epistemically unwarranted given background knowledge.
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    • 3.Excluding priors conflates the sampling behavior of a test procedure with the rational degree of belief warranted by evidence.
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    Reason against 2 of 2
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    • 1.Duhem's thesis establishes that any experimental test bears on a conjunction of hypotheses, not a single isolated hypothesis.
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    • 2.Mayo's severity criterion presupposes we can cleanly separate the target hypothesis from auxiliary assumptions when assessing data agreement.
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    • 3.If auxiliary assumptions absorb evidential pressure, a hypothesis may pass severity thresholds without genuine corroboration of the target claim.
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    Related

    A hypothesis with near-zero prior probability can pass Mayo's severity criterion...Bayesian epistemology (Howson & Urbach) holds that evidential support requires p...Duhem's thesis establishes that any experimental test bears on a conjunction of ...Excluding priors conflates the sampling behavior of a test procedure with the ra...
    +3 moreShow less
    If auxiliary assumptions absorb evidential pressure, a hypothesis may pass sever...Mayo defines a severe test by two conditions: data agreement with the hypothesis...Mayo's severity criterion presupposes we can cleanly separate the target hypothe...

    Similar

    Mayo defines a severe test by two conditions: data agreement with the ...88%A severe test requires low significance, because the data must agree w...85%A severe test requires high power, because the data must have low prob...84%The probability of data according to a hypothesis cannot be used strai...80%

    Source

    AI-extracted1/3 agreementValid
    SEP: statistics
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    The error statistical approach of Mayo and others comprises a general philosophy of science as well as a particular viewpoint on the philosophy statistics. We briefly focus on the latter, through a discussion of the notion of a severe test (cf. Mayo and Spanos 2006). The claim is that we gain knowledge of experimental effects on the basis of severely testing hypotheses, which can be characterized by the significance and power. In Mayo's definition, a hypothesis passes a severe test on two condit
    Extraction notes

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    Details

    Type
    claim
    Perspectives
    3 (1 for, 2 against)
    Edits
    1 edit