What experiment did we just do? Counterfactual error statistics and uncertainties about the reference class
David Bourget (Western Ontario)
David Chalmers (ANU, NYU)
Rafael De Clercq
Jack Alan Reynolds
Learn more about PhilPapers
Philosophy of Science 69 (2):279-299 (2002)
Experimenters sometimes insist that it is unwise to examine data before determining how to analyze them, as it creates the potential for biased results. I explore the rationale behind this methodological guideline from the standpoint of an error statistical theory of evidence, and I discuss a method of evaluating evidence in some contexts when this predesignation rule has been violated. I illustrate the problem of potential bias, and the method by which it may be addressed, with an example from the search for the top quark. A point in favor of the error statistical theory is its ability, demonstrated here, to explicate such methodological problems and suggest solutions, within the framework of an objective theory of evidence.
|Keywords||No keywords specified (fix it)|
|Categories||categorize this paper)|
Setup an account with your affiliations in order to access resources via your University's proxy server
Configure custom proxy (use this if your affiliation does not provide a proxy)
|Through your library|
References found in this work BETA
No references found.
Citations of this work BETA
David Teira (forthcoming). A Contractarian Solution to the Experimenter's Regress. Philosophical Explorations 80 (5):709-720.
Similar books and articles
Deborah G. Mayo (1997). Error Statistics and Learning From Error: Making a Virtue of Necessity. Philosophy of Science 64 (4):212.
Deborah G. Mayo (1997). Duhem's Problem, the Bayesian Way, and Error Statistics, or "What's Belief Got to Do with It?". Philosophy of Science 64 (2):222-244.
Kent Staley (2012). Strategies for Securing Evidence Through Model Criticism. European Journal for Philosophy of Science 2 (1):21-43.
Kent Staley (2008). Error-Statistical Elimination of Alternative Hypotheses. Synthese 163 (3):397 - 408.
Kent W. Staley, Strategies for Securing Evidence Through Model Criticism: An Error-Statistical Perspective.
Kent W. Staley (2005). Agency and Objectivity in the Search for the Top Qjjark. In P. Achinstein (ed.), Scientific Evidence: Philosophical Theories & Applications. The Johns Hopkins University Press.
Kent W. Staley (2002). What Experiment Did We Just Do? Philosophy of Science 69 (2):279-99.
Added to index2009-01-28
Total downloads13 ( #127,289 of 1,101,888 )
Recent downloads (6 months)6 ( #52,459 of 1,101,888 )
How can I increase my downloads?