Evidential Diversity and the Triangulation of Phenomena

Philosophy of Science 83 (2):227-247 (2016)
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Abstract

The article argues for the epistemic rationale of triangulation, namely, the use of multiple and independent sources of evidence. It claims that triangulation is to be understood as causal reasoning from data to phenomenon, and it rationalizes its epistemic value in terms of controlling for likely errors and biases of particular data-generating procedures. This perspective is employed to address objections against triangulation concerning the fallibility and scope of the inference, as well as problems of independence, incomparability, and discordance of evidence. The debate on the existence of social preferences is used as an illustrative case.

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Author Profiles

Jaakko Kuorikoski
University of Helsinki
Caterina Marchionni
University of Helsinki

References found in this work

Causality: Models, Reasoning and Inference.Judea Pearl - 2000 - Tijdschrift Voor Filosofie 64 (1):201-202.
Saving the phenomena.James Bogen & James Woodward - 1988 - Philosophical Review 97 (3):303-352.
Robustness Analysis.Michael Weisberg - 2006 - Philosophy of Science 73 (5):730-742.
Robustness, discordance, and relevance.Jacob Stegenga - 2009 - Philosophy of Science 76 (5):650-661.
Economic Modelling as Robustness Analysis.Jaakko Kuorikoski, Aki Lehtinen & Caterina Marchionni - 2010 - British Journal for the Philosophy of Science 61 (3):541-567.

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