How much evidence should one collect?

A number of philosophers of science and statisticians have attempted to justify conclusions drawn from a finite sequence of evidence by appealing to results about what happens if the length of that sequence tends to infinity. If their justifications are to be successful, they need to rely on the fin...

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Publicado en:Philosophical Studies Vol. 172; no. 9; pp. 2299 - 2314
Autor principal: Heesen, Remco
Formato: Artículo
Publicado: Springer Nature Sep2015
Materias:
Acceso en línea:Ver este registro en EBSCOhost
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        au: Heesen, Remco
        affil: Department of Philosophy, Carnegie Mellon University, Baker Hall 161 Pittsburgh 15213-3890 USA
      su:
        Philosophers
        Statisticians
        Evidence
        Social epistemology
        Statistical decision making
        Justification (Ethics)
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        subj:
          Philosophers
          Statisticians
          Evidence
          Social epistemology
          Statistical decision making
          Justification (Ethics)
      keyword:
        Bayesian epistemology
        Formal epistemology
        Philosophy of science
        Rational choice
        Sequential decision problems
      ab: A number of philosophers of science and statisticians have attempted to justify conclusions drawn from a finite sequence of evidence by appealing to results about what happens if the length of that sequence tends to infinity. If their justifications are to be successful, they need to rely on the finite sequence being either indefinitely increasing or of a large size. These assumptions are often not met in practice. This paper analyzes a simple model of collecting evidence and finds that the practice of collecting only very small sets of evidence before taking a question to be settled is rationally justified. This shows that the appeal to long run results can be used neither to explain the success of actual scientific practice nor to give a rational reconstruction of that practice.
      pubtype: Academic Journal
      doctype: Article
      src: R
    language: English
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