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Related Experiment Video

Updated: Jun 3, 2026

How to Create and Use Binocular Rivalry
14:34

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Published on: November 10, 2010

Universal ecological patterns in college basketball communities.

Robert J Warren1, David K Skelly, Oswald J Schmitz

  • 1School of Forestry and Environmental Studies, Yale University, New Haven, Connecticut, United States of America. hexastylis@gmail.com

Plos One
|March 17, 2011
PubMed
Summary

Species abundance distributions (SADs) in ecology are consistent, but this study shows basketball wins mimic these patterns. This suggests SAD analysis may reveal statistical artifacts rather than solely biological mechanisms.

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Last Updated: Jun 3, 2026

How to Create and Use Binocular Rivalry
14:34

How to Create and Use Binocular Rivalry

Published on: November 10, 2010

Area of Science:

  • Ecology
  • Ecological Statistics
  • Complex Systems

Background:

  • Species abundance distributions (SADs) are a fundamental concept in ecology, consistently showing most species are rare and few are common across diverse environments.
  • Understanding the underlying biological mechanisms driving these distributions is a key, yet controversial, area of ecological research.

Purpose of the Study:

  • To investigate whether statistical artifacts, rather than solely biological processes, could explain the observed patterns in species abundance distributions.
  • To test the robustness of SAD analysis in inferring ecological mechanisms by comparing ecological data with non-biological systems.

Main Methods:

  • Comparative analysis of species abundance data from tropical trees with the distribution of wins in college basketball games.
  • Application of statistical methods to analyze the patterning and significant-digit patterns within both ecological and non-ecological datasets.

Main Results:

  • College basketball wins, despite being driven by competitive interactions, generate SAD patterns statistically indistinguishable from random outcomes.
  • Species abundance data from tropical trees exhibit significant-digit patterns, suggesting complex structuring forces are at play.
  • The similarity between ecological SADs and random win distributions raises questions about the interpretability of SADs for ecological mechanisms.

Conclusions:

  • Species abundance distribution analysis may not reliably distinguish between biological mechanisms and statistical artifacts.
  • The consistent SAD patterns observed in nature might be, in part, a consequence of statistical regularities rather than exclusively unique ecological processes.
  • Further research is needed to refine methods for ecological mechanism elucidation beyond traditional SAD analysis.