John von Neumann — "It is not at all certain that the mathematical method is appropriate for the des…"
It is not at all certain that the mathematical method is appropriate for the description of the world.
It is not at all certain that the mathematical method is appropriate for the description of the world.
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"The world is governed by statistics, not by laws."
"The brain is a logical machine, but it is not a computer."
"The more precisely the position is determined, the less precisely the momentum is known in this instant, and vice versa."
"The world is not as simple as we would like it to be."
"Anyone who attempts to generate random numbers by deterministic means is, of course, living in a state of sin."
A surprising statement from a mathematician, expressing a degree of humility.
Date: 1950s
GeneralFound in 1 providers: grok
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Despite mathematics' extraordinary success at modeling physics, economics, and computation, it may not be the actual language of reality. Mathematics could be a powerful approximation tool rather than a true mirror of the world's structure. The statement challenges a common assumption among scientists — that because math works so well, it must fundamentally and correctly describe nature rather than merely predicting measurable outcomes within useful limits.
Von Neumann built the mathematical foundations of quantum mechanics and axiomatized game theory, yet witnessed firsthand how quantum reality defied classical mathematical intuition. His formalization of quantum mechanics exposed him to the measurement problem — where the formalism predicts correctly but what it actually describes remains philosophically unresolved. A man who lived deeper inside mathematics than nearly anyone could see its limits with rare clarity.
Von Neumann worked during profound scientific upheaval. Quantum mechanics (1920s–1930s) showed classical mathematical determinism failed at the subatomic scale. Gödel's incompleteness theorems (1931) proved mathematics contains truths it cannot prove, shaking foundationalist confidence. The Manhattan Project showed equations could describe atomic destruction while leaving the full nature of that reality philosophically opaque. These disruptions made questioning mathematics' descriptive completeness scientifically urgent, not merely philosophical.
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