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De Gruyter, Monte Carlo Methods and Applications, 1(21), p. 69-76, 2015

DOI: 10.1515/mcma-2014-0008

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Consensus in science

Journal article published in 2015 by Peter Stallinga, Igor Khmelinskii ORCID
This paper is available in a repository.
This paper is available in a repository.

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Postprint: archiving forbidden
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Abstract

Abstract The biggest argument in some areas of science is the existence of a consensus. However, on top of it being a non-scientific argument, it is easy to show how a consensus naturally evolves in modern research environments. In this paper we demonstrate analytically and by cellular automata how a consensus is obtained. Important conclusions are that a consensus is not necessarily representing the truth and, once established, can never change anymore.