
“Medicine is a science of uncertainty and an art of probability.”
As quoted in Computers in biomedical research (1965) by Ralph W. Stacy, p. 320.
Methods of Mathematics Applied to Calculus, Probability, and Statistics (1985)
“Medicine is a science of uncertainty and an art of probability.”
As quoted in Computers in biomedical research (1965) by Ralph W. Stacy, p. 320.
“Whatever way uncertainty is approached, probability is the only sound way to think about it.”
5. The Rules of Probability. p. 71.
Understanding Uncertainty (2006)
Source: Fuzzy sets and fuzzy logic (1995), p. 205 cited in: Flavio Comim, et al. (2008) The Capability Approach: Concepts, Measures and Applications. p. 298.
Source: Just a Theory: Exploring the Nature of Science (2005), Chapter 8, “Science and Religion: Scientists Just Do Science” (pp. 136-137; minor grammatical errors corrected silently)
The Rationality of Induction, Oxford: Clarendon, 1986. Page 176, last paragraph.
“Uncertainty is a personal matter; it is not the uncertainty but your uncertainty.”
1. Introduction. p. 1.
Understanding Uncertainty (2006)
Source: The Emergence Of Probability, 1975, Chapter 3, Opinion, p. 23.
“The mistake is in thinking there can be an antidote to the uncertainty.”
Variant: The mistake is thinking that there can be an antidote to the uncertainty.
Source: The Lover's Dictionary
In science, this change has been manifested by a gradual transition from the traditional view, which insists that uncertainty is undesirable in science and should be avoided by all possible means, to an alternative view, which is tolerant of uncertainty and insists that science cannot avoid it. According to the traditional view, science should strive for certainty in all its manifestations (precision, specificity, sharpness, consistency, etc.); hence, uncertainty (imprecision, nonspecificity, vagueness, inconsistency,etc.) is regarded as unscientific. According to the alternative (or modem) view, uncertainty is considered essential to science; it is not only an unavoidable plague, but it has, in fact, a great utility.
Source: Fuzzy sets and fuzzy logic (1995), p. 1.