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Journal of Statistical Physics

, Volume 144, Issue 1, pp 213–216 | Cite as

Fundamental Limitation on Applicability of Statistical Methods to Study of Living Organisms and Other Complex Systems

  • Yitzhak Rabin
Article

Abstract

A living organism is a complex system whose state is characterized by extremely large number of variables that far exceeds the number of individual organisms that can be experimentally studied. Since the relations between these variables and even their identities are largely unknown, the applicability of statistical methods of inference to the outcome of experiments in biomedical sciences is severely limited. Far from being a purely theoretical issue, this explains the recently proposed “Truth Wears Off” effect and sets a fundamental limitation on the applicability of machine-like approaches to the study of living organisms.

Keywords

Living organism Complex system Hidden variable Gaussian distribution Statistical independence 

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References

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    Lehrer, J.: The truth wears off. The New Yorker, Annals of Science, December 13, 52 (2010) Google Scholar
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    Ioannidis, J.P.A.: Why most published research findings are false. PLoS Med. 2, 696–701 (2005) Google Scholar
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    Schooler, J.: Nature 470, 437 (2011) ADSCrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media, LLC 2011

Authors and Affiliations

  1. 1.Department of Physics and Institute for NanotechnologyBar-Ilan UniversityRamat GanIsrael
  2. 2.Department of Biomedical EngineeringNorthwestern UniversityEvanstonUSA
  3. 3.James Franck InstituteUniversity of ChicagoChicagoUSA

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