Skip Navigation


The British Journal for the Philosophy of Science Advance Access originally published online on November 7, 2008
The British Journal for the Philosophy of Science 2009 60(1):19-49; doi:10.1093/bjps/axn040
This Article
Right arrow Full Text
Right arrow Full Text (PDF)
Right arrow All Versions of this Article:
60/1/19    most recent
axn040v1
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Alert me to new issues of the journal
Right arrow Add to My Personal Archive
Right arrow Download to citation manager
Right arrowRequest Permissions
Google Scholar
Right arrow Articles by Weber, M.
Right arrow Search for Related Content
Social Bookmarking
 Add to CiteULike   Add to Connotea   Add to Del.icio.us  
What's this?

© The Author (2008). Published by Oxford University Press on behalf of British Society for the Philosophy of Science. All rights reserved. For permissions, please email: journals.permissions@oxfordjournals.org

The Crux of Crucial Experiments: Duhem's Problems and Inference to the Best Explanation

Marcel Weber

Science Studies Program and Department of Philosophy, University of Basel, Missionsstrasse 21, 4003, Basel, Switzerland

marcel.weber{at}unibas.ch


   Abstract

Going back at least to Duhem, there is a tradition of thinking that crucial experiments are impossible in science. I analyse Duhem's arguments and show that they are based on the excessively strong assumption that only deductive reasoning is permissible in experimental science. This opens the possibility that some principle of inductive inference could provide a sufficient reason for preferring one among a group of hypotheses on the basis of an appropriately controlled experiment. To be sure, there are analogues to Duhem's problems that pertain to inductive inference. Using a famous experiment from the history of molecular biology as an example, I show that an experimentalist version of inference to the best explanation (IBE) does a better job in handling these problems than other accounts of scientific inference. Furthermore, I introduce a concept of experimental mechanism and show that it can guide inferences from data within an IBE-based framework for induction.

  1. Introduction
  2. Duhem on the Logic of Crucial Experiments
  3. ‘The Most Beautiful Experiment in Biology’
  4. Why Not Simple Elimination?
  5. Severe Testing
  6. An Experimentalist Version of IBE
    6.1 Physiological and experimental mechanisms
    6.2 Explaining the data
    6.3 IBE and the problem of untested auxiliaries
    6.4 IBE-turtles all the way down

  7. Van Fraassen's ‘Bad Lot’ Argument
  8. IBE and Bayesianism
  9. Conclusions


Add to CiteULike CiteULike   Add to Connotea Connotea   Add to Del.icio.us Del.icio.us    What's this?




Disclaimer: Please note that abstracts for content published before 1996 were created through digital scanning and may therefore not exactly replicate the text of the original print issues. All efforts have been made to ensure accuracy, but the Publisher will not be held responsible for any remaining inaccuracies. If you require any further clarification, please contact our Customer Services Department.