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Statistical inference and Aristotle's Rhetoric
1Department of Psychology, University of Stirling, UK. r.r.macdonald@stir.ac.uk
The British Journal of Mathematical and Statistical Psychology
|October 30, 2004
Summary
Statistical inference is defended by everyday reasoning, not formal logic. This approach, similar to Aristotle's enthymemes, uses examples, analogies, and signs to assess chance hypotheses.
Area of Science:
- Philosophy of Science
- Statistical Inference
- Epistemology
Background:
- Formal logic requires complete information, unlike real-world reasoning.
- Statistical tests often lack logically justifiable conclusions.
- Aristotle's enthymemes rely on examples, analogies, and signs for truth-seeking.
Discussion:
- This paper defends statistical inference using principles of everyday reasoning.
- Statistical tests function like enthymemes: using examples, model analogies, and effect size as signs against chance.
- Few theories of statistical inference, except a weak version of Fisher's, acknowledge this.
Key Insights:
- Statistical inference is analogous to Aristotelian reasoning from examples, analogies, and signs.
- The size of an effect serves as a sign to reject the null hypothesis.
- Aristotle's reasoning about improbable outcomes anticipates Fisher's statistical approach.
Outlook:
- Statistical inference can be understood as a classical form of reasoning.
- This perspective offers a new framework for understanding and validating statistical methods.
- Further exploration into the Aristotelian roots of scientific reasoning is warranted.
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