In defense of really statistical explanations

Synthese 200 (5):1-15 (2022)
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Abstract

According to Lange,?Really Statistical explanations? constitute an important kind of non-causalscientific explanation. However, Roski has argued that all alleged RS explanations are either causalexplanations or not explanations at all. In so arguing, Roski has invoked Kahneman?s interpretation of onealleged RS explanation. I employ Roski?s arguments as an opportunity to elaborate and defend RS explanations. Iargue that?RS explanations? genuinely explain rather than deny the presuppositions of why-questions. I argue thatthe RS model is not excessively permissive in allowing some explanations to work purely statistically rather than bydescribing causal relations. I argue that Roski?s view that some?RS explanations? operate by describing causalrelations fails to capture the kind of explanatory insight that RS explanations provide. I elaborate the notion of a?characteristically statistical phenomenon? that figures in the RS model and thereby explain how an RS explanationreveals that its explanandum is independent of any causal facts or specific chances, but rather depends only on ageneric sort of arrangement of chances. Finally, I argue that Roski misinterprets Kahneman, who actually holds thatthe explanation he discusses is a non-causal explanation that nicely fits the RS model. RS explanations constitutean important kind of non-causal scientific explanation.

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Marc Lange
University of North Carolina, Chapel Hill

Citations of this work

For Crying Out Loud.Marc Lange - 2023 - Analysis 83 (3):604-616.

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References found in this work

Thinking, Fast and Slow.Daniel Kahneman - 2011 - New York: New York: Farrar, Straus and Giroux.
The taming of chance.Ian Hacking - 1990 - New York: Cambridge University Press.
Against explanatory realism.Elanor Taylor - 2018 - Philosophical Studies 175 (1):197-219.
In defence of explanatory realism.Stefan Roski - 2021 - Synthese 199 (5-6):14121-14141.

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