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Chance Quote by George Boole

“A distinguished writer [Siméon Denis Poisson] has thus stated the fundamental definitions of the science: 'The probability of an event is the reason we have to believe that it has taken place, or that it will take place.' 'The measure of the probability of an event is the ratio of the number of…” quote by George Boole
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““A distinguished writer [Siméon Denis Poisson] has thus stated the fundamental definitions of the science: 'The probability of an event is the reason we have to believe that it has taken place, or that it will take place.' 'The measure of the probability of an event is the ratio of the number of cases favourable to that event, to the total number of cases favourable or contrary, and all equally possible' (equally like to happen). From these definitions it follows that the word probability, in its mathematical acceptation, has reference to the state of our knowledge of the circumstances under which an event may happen or fail. With the degree of information which we possess concerning the circumstances of an event, the reason we have to think that it will occur, or, to use a single term, our expectation of it, will vary. Probability is expectation founded upon partial knowledge. A perfect acquaintance with all the circumstances affecting the occurrence of an event would change expectation into certainty, and leave neither room nor demand for a theory of probabilities.””

George Boole

About This Quote

Source Book: An Investigation of the Laws of Thought, 1854

Probability quantifies belief based on limited information, linking chance to knowledge and expectation.

In simple terms: Probability measures belief from what we know.

Key Takeaway

Recognize uncertainty and update beliefs with new data.

Themes

uncertainty knowledge expectation probability statistics

Mood

analytical thoughtful

Type

philosophical educational

When to use this quote

  • risk assessment
  • forecasting
  • decision making
  • scientific modeling

Key Concepts

Bayesian inference epistemic probability information theory

Questions to Reflect On

  • How does new evidence change your confidence?
  • When is it appropriate to treat unknowns as equally possible?
A Different Perspective

Assumes data are reliable and relevant; may ignore unknown unknowns.

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