Skip to main content
Log in

Data And Phenomena: A Distinction Reconsidered

  • Published:
Erkenntnis Aims and scope Submit manuscript

Abstract

Bogen and Woodward (1988) advance adistinction between data and phenomena. Roughly, theformer are the observations reported by experimentalscientists, the latter are objective, stable featuresof the world to which scientists infer based onpatterns in reliable data. While phenomena areexplained by theories, data are not, and so theempirical basis for an inference to a theory consistsin claims about phenomena. McAllister (1997) hasrecently offered a critique of their version of thisdistinction, offering in its place a version on whichphenomena are theory laden, and hence on which theempirical support for inferences to theories is also,unavoidably, theory laden. In this commentary I arguethat McAllister and Bogen and Woodward are mistaken inthinking that the distinction is necessary, and thatthe empirical support for inferences to theories isnot necessarily theory laden in the way McAllister'saccount entails they are.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

REFERENCES

  • Bogen, J. and J. Woodward: 1988, 'Saving the Phenomena', Philosophical Review 97, 303-352.

    Google Scholar 

  • Hellman, G.: 1997a, 'Bayes and Beyond', Philosophy of Science 64, 191-221.

    Google Scholar 

  • Hellman, G.: 1997b, 'Responses to Maher, and to Kelly, Schulte and Juhl', Philosophy of Science 64, 317-322.

    Google Scholar 

  • Kelly, K.: 1996, The Logic of Reliable Inquiry, Oxford University Press, Oxford.

    Google Scholar 

  • Kelly, K., O. Schulte and Cory Juhl: 1997, 'Learning Theory and the Philosophy of Science', Philosophy of Science 64, 306-316.

    Google Scholar 

  • Korb, K. and C. Wallace: 1997, 'In Search of the Philosopher's Stone: Remarks on Humphreys and Freedman's Critique of Causal Discovery', British Journal for the Philosophy of Science 48, 543-553.

    Google Scholar 

  • McAllister, J.: 1997, 'Phenomena and Patterns in Data Sets', Erkenntnis 47, 217-228.

    Google Scholar 

  • Spirtes, P., C. Glymour and R. Scheines: 1993, Causation, Prediction and Search, Springer-Verlag, New York.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

About this article

Cite this article

Glymou, B. Data And Phenomena: A Distinction Reconsidered. Erkenntnis 52, 29–37 (2000). https://doi.org/10.1023/A:1005499609332

Download citation

  • Issue Date:

  • DOI: https://doi.org/10.1023/A:1005499609332

Keywords

Navigation