Probability quotes

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Jim_Baggott

The Veracity Principle

“The Veracity Principle. It is not possible to verify a scientific theory such that it provides absolute certainty for all time. A theory is instead accepted (or even tolerated), on the basis of its ability to survive the tests and meet additional criteria of simplicity, efficacy, utility, explanatory power and less rational, innately human measures such as beauty. Over time the theory becomes familiar and is accepted as ‘true’ or, at least, as possessing a high truth-likeness or verisimilitude. The scientists’ confidence or degree of belief in the theory grows. It is eventually absorbed into the common body of knowledge which forms the current ‘authorized’ version of empirical reality.”
  • Source: Baggott, Jim. Farewell to Reality: How Modern Physics Has Betrayed the Search for Scientific Truth (p. 22). Pegasus Books. New York, NY.

Robert_N_Britcher

Failure Probability

“The probability of a failure in a computer system is never zero. There are always failures - if not evident, then latent.”
  • Source: Britcher, Robert N. (1999). The Limits of Software: People, Projects, and Perspectives. Reading, MA: Addison Wesley. ISBN 0-201-43323-0. Page 61.

Edward_Bulwer-Lytton

Fate and Probabilities

"Fate laughs at probabilities."
  • Source: Edward Bulwer-Lytton, Eugene Aram (1832), Book i, Chapter x.

Keywords: Fate_quotes Laughter_quotes Probability_quotes Statistics_quotes

Tom_DeMarco and Tim_Lister

Project Failures

"We observe that about 15 percent of all projects studied came to naught: They were canceled or aborted or 'postponed' or they delivered products that were never used. For bigger projects, the odds are even worse. Fully 25 percent of projects that lasted 25 work-years or more failed to complete. In the early surveys, we discarded these failed data points and analyzed the others. Since 1979, though, we’ve been contacting whoever is left of the project staff to find out what went wrong. For the overwhelming majority of the bankrupt projects we studied, there was not a single technological issue to explain the failure."
  • Source: Book:: Entitled: Peopleware: Productive Projects and Teams. Edition: 3rd. Written by: Tom DeMarco; Tim Lister. Date published: 1987; 1999; 2013. Publisher: Addison-Wesley. Country: USA; GBR; CAN; DEU; FRA; ESP; ZAF; AUS; JPN; SGP; MEX. Language: en. ISBN: ISBN-13: 978-0-321-93411-6 (alk paper); 0-321-93411-3 (alk paper). Chapter: 1 (Somewhere Today, a Project Is Failing).

English_Proverbs

Like a Duck

“If it looks like a duck, swims like a duck, and quacks like a duck, then it probably is a duck.”
  • Source: The exact origin of the phrase is uncertain.

Richard_Feynman

Same Circumstances

“Philosophers have said that if the same circumstances don't always produce the same results, predictions are impossible and science will collapse. Here is a circumstance — identical photons are always coming down in the same direction to the piece of glass — that produces different results. We cannot predict whether a given photon will arrive at A or B. All we can predict is that out of 100 photons that come down, an average of 4 will be reflected by the front surface. Does this mean that physics, a science of great exactitude, has been reduced to calculating only the probability of an event, and not predicting exactly what will happen? Yes. That's a retreat, but that's the way it is: Nature permits us to calculate only probabilities. Yet science has not collapsed.”
  • Source: Feynman, R. P. (1983). QED: The Strange Theory of Light and Matter. Princeton, NJ: Princeton University Press. Page 19.

Henry_Ford

Thinking is Hard

“Thinking is the hardest work there is, which is probably the reason why so few engage in it.”
  • Source: As quoted in The High School Teacher, Vol. XI (1935), p. 60.

Stephen_Hawking

Indefinite Past

“In classical physics, the past is assumed to exist as a definite series of events, but according to quantum physics, the past, like the future, is indefinite and exists only as a spectrum of possibilities. Even the universe as a whole has no single past or history.”
  • Source: Hawking & Mlodinow, Scientific American, October 2010.

Robert_Heinlein

Tomorrow

“Never do today what you can put off till tomorrow if tomorrow might improve the odds.”.
  • Source: Written by Robert A. Heinlein in the book “Time Enough for Love”, published in 1973 by Putnam's Sons, ISBN: 0-399-11151-4. ISBN: 9781101503072 (ebook). Page 346 (Kindle edition).

David_Kipping

Bayesian Sims

“Using Bayesian model averaging, it is shown that the probability that we are sims is in fact less than 50%.”
  • Source: David Kipping from the paper “A Bayesian Approach to the Simulation Argument”, published 2020 in the journal ‘Universe’, volume 6, issue 8. DOI:10.3390/universe6080109. Online at https://www.mdpi.com/2218-1997/6/8/109 (2025).

Alexander_Kossiakoff et al.

Skeptical Positive Thinking

"The Power of Skeptical Positive Thinking... is meant to capture an important characteristic of successful systems engineering. The skeptical part is important to temper the traditional optimism of the design specialist regarding the probability of success of a chosen design approach. It is the driving force for the insistence of validation of the approach selected at the earliest possible opportunity. The other dimension of skepticism, which is directly related to the characteristic of positive thinking, refers to the reaction in the face of failure or apparent failure of a selected technique or design approach. Many design specialists who encounter an unexpected failure are plunged into despair. The systems engineer, on the other hand, cannot afford the luxury of hand wringing."
  • Source:Kossiakoff, Alexander; Sweet, William N.; Seymour, Samuel J.; Biemer, Steven M.. 'Systems Engineering Principles and Practice'. 2011. Wiley. Kindle Edition. Section 1.6 page 23.

Pierre-Simon_Laplace

System of Nature

“The present state of the system of nature is evidently a consequence of what it was in the preceding moment, and if we conceive of an intelligence that at a given instant comprehends all the relations of the entities of this universe, it could state the respective position, motions, and general affects of all these entities at any time in the past or future. Physical astronomy, the branch of knowledge that does the greatest honor to the human mind, gives us an idea, albeit imperfect, of what such an intelligence would be. The simplicity of the law by which the celestial bodies move, and the relations of their masses and distances, permit analysis to follow their motions up to a certain point; and in order to determine the state of the system of these great bodies in past or future centuries, it suffices for the mathematician that their position and their velocity be given by observation for any moment in time. Man owes that advantage to the power of the instrument he employs, and to the small number of relations that it embraces in its calculations. But ignorance of the different causes involved in the production of events, as well as their complexity, taken together with the imperfection of analysis, prevents our reaching the same certainty about the vast majority of phenomena. Thus there are things that are uncertain for us, things more or less probable, and we seek to compensate for the impossibility of knowing them by determining their different degrees of likelihood. So it was that we owe to the weakness of the human mind one of the most delicate and ingenious of mathematical theories, the science of chance or probability.”
  • Source: Pierre-Simon Laplace, 'Recherches, 1º, sur l'Intégration des Équations Différentielles aux Différences Finies, et sur leur Usage dans la Théorie des Hasards' (1773, published 1776). In Oeuvres complètes de Laplace, 14 Vols. (1843-1912), Vol. 8, 144-5, trans. Charles Coulston Gillispie, Pierre-Simon Laplace 1749-1827: A Life in Exact Science (1997), 26.

Problems of Probability

“The most important questions of life... are indeed for the most part only problems of probability. Strictly speaking it may even be said that nearly all our knowledge is problematical; and in the small number of things which we are able to know with certainty, even in the mathematical sciences themselves, the principal means for ascertaining truth — induction and analogy — are based on probabilities.”

Steven_Pinker

Computational Mind Probabilistic

“The computational theory thus embraces an alternative kind of computer with many elements that are active to a degree corresponding to the probability that some statement is true or false, and in which the activity levels change smoothly to register new and roughly accurate probabilities. (As we shall see, that may be the way the brain works.) The key idea is that the answer to the question 'What makes a system smart?' is not the kind of stuff it is made of or the kind of energy flowing through it, but what the parts of the machine stand for and how the patterns of changes inside it are designed to mirror truth-preserving relationships (including probabilistic and fuzzy truths).”
  • Source: Steven Pinker (1997). How the Mind Works. New York, NY: W. W. Norton. ISBN 978-0-393-06973-0; eISBN 978-0-393-06973-0. Chapter 2 Section: The search for Intelligent Life in the Universe.

Hans_Reichenbach

Picture of Scientific Method

“The picture of scientific method drafted by modern philosophy is very different from traditional conceptions. Gone is the ideal of a universe whose course follows strict rules, a predetermined cosmos that unwinds itself like an unwinding clock. Gone is the ideal of the scientist who knows the absolute truth. The happenings of nature are like rolling dice rather than like revolving stars; they are controlled by probability laws, not by causality, and the scientist resembles a gambler more than a prophet. He can tell you only his best posits — he never knows beforehand whether they will come true. He is a better gambler, though, than the man at the green table, because his statistical methods are superior. And his goal is staked higher — the goal of foretelling the rolling dice of the cosmos. If he is asked why he follows his methods, with what title he makes his predictions, he cannot answer that he has an irrefutable knowledge of the future; he can only lay his best bets. But he can prove that they are best bets, that making them is the best he can do — and if a man does his best, what else can you ask of him?”
  • Source: Hans Reichenbach, The Rise of Scientific Philosophy (1951, 1973), 248-9. Collected in James Louis Jarrett and Sterling M. McMurrin (eds.), Contemporary Philosophy: A Book of Readings (1954), 376.

Bertrand_Russell

Exact Science Approximate

“Although this may seem a paradox, all exact science is dominated by the idea of approximation. When a man tells you that he knows the exact truth about anything, you are safe in inferring that he is an inexact man. Every careful measurement in science is always given with the probable error ... every observer admits that he is likely wrong and knows about how much wrong he is likely to be.”
  • Source: Bertrand Russell, In The Scientific Outlook (1931, 2009), 42

Rational Man

“Thus the rational man, who attaches to each proposition the right degree of credibility, will be guided by the mathematical theory of probability when it is applicable.”
  • Source: Russell, B. (1948). Human Knowledge: Its Scope and Limits. New York, NY: Simon and Schuster. Part V Chap. 6.

Herbert_Simon

Long Definition of Design

“The ‘inner environment' of the design problem is represented by a set of given alternatives of action. The alternatives may be given in extenso: more commonly they are specified in terms of command variables that have defined domains. The ‘outer environment' is represented by a set of parameters, which may be known with certainty or only in terms of a probability distribution. The goals for adaptation of inner to outer environment are defined by a utility function a function, usually scalar, of the command variables and environmental parameters perhaps supplemented by a number of constraints (inequalities, say, between functions of the command variables and environmental parameters). The optimization problem is to find an admissible set of values of the command variables, compatible with the constraints, that maximize the utility function for the given values of the environmental parameters. (In the probabilistic case we might say, 'maximize the expected value of the utility function,' for instance, instead of 'maximize the utility function.')”

Ellis_Leon_Yochelson

Scientists Make Predictions

“Scientists are supposed to make predictions, probably to prove they are human and can be as mistaken as anyone else. Long-range predictions are better to make because the audience to whom the prediction was made is no longer around to ask questions. The alternative... is to make conflicting predictions, so that one prediction may prove right.”
  • Source: Ellis Leon Yochelson. 'Fossils—The How and Why of Collecting and Storing', Proceedings of the Biological Society of Washington (1969), 82, 597.