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Divide and Conquer

  • David H. Silver(author)
Chapter of: Beyond Popular Science
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Title Divide and Conquer
ContributorDavid H. Silver(author)
DOIhttps://doi.org/10.11647/OBP.0526.30
Landing pagehttps://www.openbookpublishers.com/books/10.11647/obp.0526/chapters/10.11647/obp.0526.30
Licensehttps://creativecommons.org/licenses/by-nc/4.0/
CopyrightDavid H. Silver
PublisherOpen Book Publishers
Published on2026-04-08
Long abstract

Simpson’s Paradox occurs when a statistical trend present in separate groups reverses when the groups are combined. This effect is a result of unequal group sizes or hidden confounding variables that distribute non-uniformly across the data. For example, a treatment might show positive effects in both male and female subgroups yet appear harmful in the aggregate population if the treatment is disproportionately given to patients with more severe conditions and males and females differ in average severity. The apparent paradox demonstrates that causal inference requires careful consideration of the causal relationship rather than relying solely on raw correlations.

Print length10 pages
LanguageEnglish (Original)
THEMA
  • PH
  • PHQ
  • PHR
  • PDZ
BISAC
  • SCI055000
  • SCI015000
  • SCI057000
  • SCI061000
  • SCI075000
  • SCI034000
Keywords
  • Scientific storytelling
  • Conceptual physics
  • Modern physics explained
  • Relativity and quantum mechanics
  • Mathematics in science
  • Deep science for general readers
Locations
Landing PageFull text URLPlatform
PDFhttps://www.openbookpublishers.com/books/10.11647/obp.0526/chapters/10.11647/obp.0526.30Landing pagehttps://books.openbookpublishers.com/10.11647/obp.0526.30.pdfFull text URL
Contributors

David H. Silver

(author)
https://orcid.org/0000-0002-3071-304X

David H. Silver is an industrial researcher whose career bridges computer vision, computational biology, and science communication. He studied mathematics, computer science, and biology at the Technion — Israel Institute of Technology as a Rothschild Scholar, and was awarded a Microsoft Research PhD Fellowship for his doctoral work in computational biology at Cambridge, UK. Silver’s peer-reviewed publications span multiple domains: computational biology in Nature and PNAS; computer vision systems in IEEE Transactions on Pattern Analysis and Machine Intelligence; medical AI in Human Reproduction and MIDL; and entertainment analysis in PLoS One. He holds over a dozen patents in depth sensing, medical imaging, and generative AI. His industry positions include Algorithm Engineer at Intel Corporation, ML Researcher at Apple, and CTO/co-founder roles at several technology startups. Silver maintains academic collaborations with researchers worldwide and serves as a peer reviewer for Image and Vision Computing and PNAS.

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Company registration 14549556

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