John von Neumann — "Anyone who attempts to generate random numbers by deterministic means is, of cou…"
Anyone who attempts to generate random numbers by deterministic means is, of course, living in a state of sin.
Anyone who attempts to generate random numbers by deterministic means is, of course, living in a state of sin.
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"The only difference between a madman and a genius is that the genius is lucky."
"The problems of mathematics are not in mathematics itself, but in the human mind."
"If you say why not bomb them tomorrow, I say why not today? If you say today at five o'clock, I say why not one o'clock?"
"It is not at all certain that the mathematical method is appropriate for the description of the world."
"It is not a question of whether we will be able to build a computer that can think. It is a question of whether we will be able to build a computer that can think as fast as we do."
A humorous but pointed remark on the inherent contradiction of trying to create true randomness with predictable algorithms.
Date: Mid-20th century
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True randomness cannot emerge from a fixed, predictable process. Deterministic algorithms follow rules — they produce sequences that appear random but are entirely predictable given the starting seed. Calling such output genuinely random is a convenient fiction. The quote captures a real mathematical paradox: computers, by design fully deterministic, cannot create true randomness, yet we rely on pseudorandom numbers constantly in statistics, cryptography, and simulation.
Von Neumann personally invented the middle-squares method, one of the first pseudorandom number algorithms, used for Monte Carlo simulations in nuclear weapons design at Los Alamos. He also established the logical foundations of modern computer architecture — inherently deterministic systems. The quote reflects his characteristic sharp wit alongside intellectual honesty: he deployed these flawed methods himself while never pretending they produced what they claimed to produce.
The 1940s and 1950s saw the first practical electronic computers emerge, creating an urgent need for random numbers to power Monte Carlo simulations essential to nuclear weapons design, statistical physics, and operations research. Hardware sources of true randomness were impractical at scale, forcing an uncomfortable compromise: deterministic machines generating fake randomness for real-world calculations. Von Neumann's quip captured the philosophical unease that defined early computational science.
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