Skip to content
Carmelics
TopicsThinkersChangesContributorsLoading account…

    Carmelics

    A reasoning platform. Break down any belief into clear reasons, explore both sides, and weigh the evidence honestly.

    Navigate

    • Topics
    • Search
    • Recent Changes
    • Contribute
    • How It Works
    • Glossary
    • Thinkers
    • Contributors
    • About
    • Statistics
    • Terms
    • Privacy

    Database

    Statements
    —
    Perspectives
    —
    Topics
    —

    Press ? for keyboard shortcuts

    LoyalLoyalJusticeJustice
    Made withinDC&Austin
    Statements
    321,452
    Perspectives
    108,905
    Topics
    42
    A hypothesis with near-zero prior probability can pass Ma... — Carmelics
    Home
    HistoryEditSee Inverse

    Part of a larger discussion

    Challenges→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.

    A hypothesis with near-zero prior probability can pass Mayo's severity criterion while remaining epistemically unwarranted given background knowledge.

    ?Rate how convincing each reason is below to see the overall strength.
    1 reason for
    1 reason against

    Reasons For

    1 perspective
    Reason for
    ?
    • 1.Severity measures test-result reliability independent of priors; a low-probability hypothesis can still survive rigorous testing.
      ?

      Think about whether this reason is strong or weak

    • 2.Background knowledge is fallible and can systematically mislead; low priors may reflect collective bias rather than genuine implausibility.
      ?

      Think about whether this reason is strong or weak

    • 3.Epistemic warrant requires integration of prior plausibility with evidential strength; severity alone cannot confer justification.
      ?

      Think about whether this reason is strong or weak

    Reasons Against

    1 perspective
    Reason against
    ?
    • 1.If a hypothesis conflicts with well-established background knowledge, passing a single test shouldn't override cumulative evidence.
      ?

      Think about whether this reason is strong or weak

    • 2.Mayo's severity criterion targets error-probabilities, not truth-likelihood; passing it says the hypothesis wasn't lucky, not that it's true.
      ?

      Think about whether this reason is strong or weak

    • 3.Bayesian integration of priors with likelihoods reflects rational belief-updating; ignoring priors risks accepting noise as signal.
      ?

      Think about whether this reason is strong or weak

    Sign in or register to share your perspective on this statement.

    Next step

    Based on where you are in your exploration

    Strongest counterpoint
    Explore the most compelling reason on the other side.

    Key Terms

    knowledge(Distinguished from mere true belief, which may be the product of indoctrination and need not exercise deliberative capacities.)
    Justified true belief — true belief that has been arrived at through the exercise of deliberative capacities, including comparison of and deliberation among alternatives.

    Connections

    1 topic

    Truth & Knowledge1 linked

    Related

    A hypothesis passes a severe test only if the data agree with the hypothesis and...Background knowledge is fallible and can systematically mislead; low priors may ...Bayesian integration of priors with likelihoods reflects rational belief-updatin...Epistemic warrant requires integration of prior plausibility with evidential str...
    +3 moreShow less
    If a hypothesis conflicts with well-established background knowledge, passing a ...Mayo's severity criterion targets error-probabilities, not truth-likelihood; pas...Severity measures test-result reliability independent of priors; a low-probabili...

    Details

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