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Correlation Isn’t Good Enough: Causal Explanation and Big Data

Cabrera, Frank (2020) Correlation Isn’t Good Enough: Causal Explanation and Big Data. Metascience. ISSN 0815-0796

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Abstract

A review of Gary Smith and Jay Cordes: The Phantom Pattern Problem: The Mirage of Big Data. New York: Oxford University Press, 2020.


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Item Type: Published Article or Volume
Creators:
CreatorsEmailORCID
Cabrera, Frank
Keywords: Big Data Causal Explanation Pattern-Recognition Predictive Inference Scientific Method
Subjects: General Issues > Data
General Issues > Causation
General Issues > Confirmation/Induction
General Issues > Explanation
Specific Sciences > Artificial Intelligence > Machine Learning
General Issues > Technology
Depositing User: Frank Cabrera
Date Deposited: 06 Feb 2021 21:11
Last Modified: 06 Feb 2021 21:11
Item ID: 18679
Journal or Publication Title: Metascience
Publisher: Springer
Subjects: General Issues > Data
General Issues > Causation
General Issues > Confirmation/Induction
General Issues > Explanation
Specific Sciences > Artificial Intelligence > Machine Learning
General Issues > Technology
Date: 2020
ISSN: 0815-0796
URI: https://philsci-archive.pitt.edu/id/eprint/18679

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