Preprint Article Version 1 This version is not peer-reviewed

Benveniste’s Experiments Explained by a Non-Conventional Experimenter Effect

Version 1 : Received: 3 March 2018 / Approved: 6 March 2018 / Online: 6 March 2018 (03:35:12 CET)

A peer-reviewed article of this Preprint also exists.

Beauvais, F. Benveniste’s Experiments Explained by a Non-Conventional Experimenter Effect. Medicines 2018, 5, 28. Beauvais, F. Benveniste’s Experiments Explained by a Non-Conventional Experimenter Effect. Medicines 2018, 5, 28.

Journal reference: Medicines 2018, 5, 28
DOI: 10.3390/medicines5020028


Background: Benveniste’s biology experiments suggested the existence of molecular-like effects without molecules (“memory of water”). In this article, it is proposed that these disputed experiments could have been the consequence of a previously unnoticed and non-conventional experimenter effect. Methods: A probabilistic modelling is built in order to describe an elementary laboratory experiment. A biological system is modelled with two possible states (“resting” and “activated”) and exposed to two experimental conditions labelled “control” and “test”, but both biologically inactive. The modelling takes into account not only the biological system, but also the experimenters. In addition, an outsider standpoint is adopted to describe the experimental situation. Results: A classical approach suggests that, after experiment completion, the “control” and “test” labels of biologically-inactive conditions should be both associated with “resting” state (i.e. no significant relationship between labels and system states). However, if the fluctuations of the biological system are also considered, a quantum-like relationship emerges and connects labels and system states (analogous to a biological “effect” without molecules). Conclusions: No hypotheses about water properties or other exotic explanations are needed to describe Benveniste’s experiments, including their unusual features. This modelling could be extended to other experimental situations in biology, medicine and psychology.

Subject Areas

systems biology; probabilistic modelling; experimenter effect; quantum-like correlations

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