Causality and Unification: How Causality Unifies Statistical Regularities

Two key ideas of scientific explanation - explanations as causal information and explanation as unification - have frequently been set into mutual opposition.  This paper proposes a "dialectical solution" to this conflict, by arguing that causal explanations are preferable to non-causal ex...

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Main Author: Gerhard Schurz
Format: Article
Language:English
Published: University of the Basque Country 2015-03-01
Series:Theoria
Subjects:
Online Access:http://www.ehu.eus/ojs/index.php/THEORIA/article/view/11913
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author Gerhard Schurz
author_facet Gerhard Schurz
author_sort Gerhard Schurz
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description Two key ideas of scientific explanation - explanations as causal information and explanation as unification - have frequently been set into mutual opposition.  This paper proposes a "dialectical solution" to this conflict, by arguing that causal explanations are preferable to non-causal explanations because they lead to a higher degree of unification at the level of the explanation of statistical regularities. The core axioms of the theory of causal nets (TC) are justified because they give the best if not the only unifying explanation of two statistical phenomena: screening off and linking up. Alternative explanation attempts are discussed and it is shown why they don't work. It is demonstrated that not the core of TC but extended versions of TC have empirical content, by means of which they can generate independently testable predictions.
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spelling doaj.art-7bc089a7f8e1424298f14dad121badef2022-12-22T00:21:05ZengUniversity of the Basque CountryTheoria0495-45482171-679X2015-03-01301739510.1387/theoria.1191311007Causality and Unification: How Causality Unifies Statistical RegularitiesGerhard Schurz0University of Duesseldorf Department of PhilosophyTwo key ideas of scientific explanation - explanations as causal information and explanation as unification - have frequently been set into mutual opposition.  This paper proposes a "dialectical solution" to this conflict, by arguing that causal explanations are preferable to non-causal explanations because they lead to a higher degree of unification at the level of the explanation of statistical regularities. The core axioms of the theory of causal nets (TC) are justified because they give the best if not the only unifying explanation of two statistical phenomena: screening off and linking up. Alternative explanation attempts are discussed and it is shown why they don't work. It is demonstrated that not the core of TC but extended versions of TC have empirical content, by means of which they can generate independently testable predictions.http://www.ehu.eus/ojs/index.php/THEORIA/article/view/11913Unification, explanation, causality, theory of causal nets, screening off, linking up
spellingShingle Gerhard Schurz
Causality and Unification: How Causality Unifies Statistical Regularities
Theoria
Unification, explanation, causality, theory of causal nets, screening off, linking up
title Causality and Unification: How Causality Unifies Statistical Regularities
title_full Causality and Unification: How Causality Unifies Statistical Regularities
title_fullStr Causality and Unification: How Causality Unifies Statistical Regularities
title_full_unstemmed Causality and Unification: How Causality Unifies Statistical Regularities
title_short Causality and Unification: How Causality Unifies Statistical Regularities
title_sort causality and unification how causality unifies statistical regularities
topic Unification, explanation, causality, theory of causal nets, screening off, linking up
url http://www.ehu.eus/ojs/index.php/THEORIA/article/view/11913
work_keys_str_mv AT gerhardschurz causalityandunificationhowcausalityunifiesstatisticalregularities