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The Nature of Scientific EvidenceStatistical, Philosophical, and Empirical Considerations$
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Mark L. Taper and Subhash R. Lele

Print publication date: 2004

Print ISBN-13: 9780226789552

Published to Chicago Scholarship Online: February 2013

DOI: 10.7208/chicago/9780226789583.001.0001

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PRINTED FROM CHICAGO SCHOLARSHIP ONLINE (www.chicago.universitypressscholarship.com). (c) Copyright University of Chicago Press, 2020. All Rights Reserved. An individual user may print out a PDF of a single chapter of a monograph in CHSO for personal use.date: 23 January 2020

Statistics and the Scientific Method in Ecology

Statistics and the Scientific Method in Ecology

Chapter:
(p.327) 11 Statistics and the Scientific Method in Ecology
Source:
The Nature of Scientific Evidence
Author(s):

Brian Dennis

Publisher:
University of Chicago Press
DOI:10.7208/chicago/9780226789583.003.0011

The questioning of science and the scientific method continues within the science of ecology. The use of Bayesian statistical analysis has recently been advocated in ecology, supposedly to aid decision makers and enhance the pace of progress. Bayesian statistics provides conclusions in the face of incomplete information. However, Bayesian statistics represents a much different approach to science than the frequentist statistics studied by most ecologists. This chapter discusses the influence of postmodernism and relativism on the scientific process and in particular its implications, through the use of subjective Bayesian approach, in statistical inference. It argues that subjective Bayesianism is “tobacco science” and that its use in ecological analysis and environmental policy making can be dangerous. It claims that science works through replicability and skepticism, with methods considered ineffective until they have proven their worth. It proposes the use of a frequentist approach to statistical analysis because it corresponds to the skeptical worldview of scientists.

Keywords:   Bayesian statistics, ecology, science, scientific method, frequentist statistics, postmodernism, relativism, statistical inference, statistical analysis, Bayesianism

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