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Do Real-World Datasets Contain Natural Experiments? An Empirical Study Using Causal Feature Selection

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Do Real-World Datasets Contain Natural Experiments? An Empirical Study Using Causal Feature Selection
TL;DR · WeSearch summary

The study investigates whether real-world datasets contain natural experiments, which are implicit interventions affecting certain groups. The authors utilize causal discovery to analyze datasets and determine if treating them as interventional improves model performance. Their findings suggest that real-world datasets do indeed contain natural experiments, offering a new avenue for enhancing causal inference in data analysis.

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Record

Original publisherarXiv cs.AI
Canonical URLhttps://arxiv.org/abs/2606.03251
Publication timeWed, 03 Jun 2026 00:00:00 -0400
Retrieval time2026-06-03T04:11:55.408Z
Last seen2026-06-03T04:11:55.408Z
Headline sourcePublisher (no WeSearch rewrite)
Excerpt sourcepublisher body
Excerpt methodFirst ~120 words (~800 chars) of extracted publisher body, fair-use limited.
SummaryWeSearch · cerebras-chat (WeSearch summarizer)
Summary source textcontentText
Citation coverageSummary is a WeSearch-generated derivative; primary citation is the original publisher URL.
ClusterfudwQZv60tbn
Cluster logicGrouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison.
Ranking reasonStory pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking.
Publisher visitYes — open original
Substitutes article?No — link-out required for full text

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WeSearch declared handling (basis: Derived from the published RSS/Atom feed). This is WeSearch policy, not a legal grant on the publisher's behalf.
Unknown
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WeSearch handling by dimension

Indexing May the item be indexed (stored, ranked, made findable)? Allowed
Snippet May a short excerpt of the publisher's text be shown? Allowed
AI summary May WeSearch generate its own short summary of the article? Limited
Retrieval / RAG May the content be exposed for third-party retrieval-augmented generation? Not asserted
Model training May the content be used to train AI models? Not asserted
Commercial reuse May the content be reused commercially? Not permitted

Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.

Opening excerpt (first ~120 words) tap to expand

Computer Science > Artificial Intelligence arXiv:2606.03251 (cs) COVID-19 e-print Important: e-prints posted on arXiv are not peer-reviewed by arXiv; they should not be relied upon without context to guide clinical practice or health-related behavior and should not be reported in news media as established information without consulting multiple experts in the field. [Submitted on 2 Jun 2026] Title:Do Real-World Datasets Contain Natural Experiments? An Empirical Study Using Causal Feature Selection Authors:Gautam Gare, John Galeotti, Michael Mozer, Deva Ramanan, Nan Rosemary Ke View a PDF of the paper titled Do Real-World Datasets Contain Natural Experiments? An Empirical Study Using Causal Feature Selection, by Gautam Gare and 4 other authors View PDF Abstract:In nature, events that…

Excerpt limited to ~120 words for fair-use compliance. The full article is at arXiv cs.AI.

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