Cited by 156Bayesian Modeling and Causal InferenceLogic, Reasoning, and KnowledgePsychology of Moral and Emotional Judgment

The DOI matches its Crossref record; 51 of the 52 references it cites were found in a registry or an index.

Normality and actual causal strength

Abstract

Existing research suggests that people's judgments of actual causation can be influenced by the degree to which they regard certain events as normal. We develop an explanation for this phenomenon that draws on standard tools from the literature on graphical causal models and, in particular, on the idea of probabilistic sampling. Using these tools, we propose a new measure of actual causal strength. This measure accurately captures three effects of normality on causal judgment that have been observed in existing studies. More importantly, the measure predicts a new effect ("abnormal deflation"). Two studies show that people's judgments do, in fact, show this new effect. Taken together, the patterns of people's causal judgments thereby provide support for the proposed explanation.

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Crossref · 10.1016/j.cognition.2017.01.010

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Metadata

Authors
Icard, T. F., Kominsky, J. F., & Knobe, J.
Affiliations
  • Stanford University (US)
  • Harvard University (US)
  • Yale University (US)
Corresponding author
Icard, Thomas F.
Venue
Cognition
Publisher
Elsevier BV
Published
2017-04
Volume
161
Pages
80-93
ISSN
0010-0277 (ISSN-L)
OpenAlex
W2583640572
Cited by
155
References
52
Citations by year
2026: 18 · 2025: 19 · 2024: 20 · 2023: 24 · 2022: 17 · 2021: 26 · 2020: 9 · 2019: 11 · 2018: 9 · 2017: 1
FWCI
4.90
Type
journal article
Language
en
Open access
closed
Locations
  • Cognition (publishedVersion)
  • PubMed (publishedVersion)
  • PhilPapers (PhilPapers Foundation) (submittedVersion)
Topics
  • Physical Sciences › Computer Science › Artificial Intelligence › Bayesian Modeling and Causal Inference
  • Physical Sciences › Computer Science › Artificial Intelligence › Logic, Reasoning, and Knowledge
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Psychology of Moral and Emotional Judgment
Keywords
actual causation, normality, causal judgment, causal strength, probability sampling, causal graphical models, causal explanation, counterfactual reasoning
MeSH terms
Bayes Theorem, Humans, Imagination, Judgment, Models, Psychological

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