Open Access Open Access  Restricted Access Subscription or Fee Access

Heisenberg’s Uncertainty Principle as a Criterion of Truth in Science and Philosophy

Michael Shoikhedbrod


Werner Heisenberg discovered the fundamental uncertainty relation: the simultaneous accurate measurement of the errors of two variables characterizing the two parameters of quantum mechanical system is impossible. The Heisenberg uncertainty principle became one of the cornerstone principles of quantum mechanics and a consequence of the content of wave-particle duality. Another more important interpretation of the uncertainty principle is the following conclusion: the more precisely one characteristic of a quantum mechanical system of a particle is measured, the less accurately one can calculate the second.  The article is devoted to the definition of the Heisenberg uncertainty principle as a criterion of truth in science and philosophy.

Full Text:



Heisenberg W. “About the descriptive content of quantum theoretical kinematics and mechanics”. Journal for Physics. 1927; 43: 172-198.

N. Bohr, R. Klibansky. Quantum Physics and Philosophy (Causality and Complementarity). Successes of physical sciences. 1959; LXFII(13):37-42.

N. Bohr. “The problem of causality in atomic physics”. Successes of physical sciences. 1985; 147(2): 343-366.

Physical encyclopedia. (1990) Wave-particle duality. [Online]. Available from

V. A. Fok. On the interpretation of quantum mechanics, Successes of physical sciences. 1957; 62(8): 466. (

Davydov A.S. Introduction. Wave function freely moving particle, Quantum mechanics, Nauka, 1973.

FEMTO. “De Broglie waves”. [Online]. Available from rt_1/0570.html

Planck Max The theory of heat radiation, Blakiston, 1914

A. Einstein. “On the principle of relativity and the conclusions drawn from it”. Jahrb. d, Radioaktivität u. Elektronik. 1907; IV, pp. 454.

De Broglie Louis. (1970) The reinterpretation of wave mechanics, Foundations of Physics, 1 (1), pp.5-15.

Shoikhedbrod M. (2020) Principles of Interpolating Prognostication in Oncology, Research & Reviews: Journal of Oncology and Hematology, 9(2), pp.39–51.

Shoikhedbrod M. (2021) Statistical Analysis and Mathematical Modeling of Medical Data Leading to the Discovery of Completely New Phenomena in Medicine, Journal of Data Mining and Management, 6(2): 29-41.

Enderling H., (2014) Chaplain M.A.J. Mathematical Modeling of Tumor Growth and Treatment, Current Pharmaceutical Design, 20(1).

Shoikhedbrod M.P. (2017) Computer modeling and the new technologies in oncology, Lambert Academic Publishing, Toronto.


  • There are currently no refbacks.

eISSN: 2231-038X