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y mixing water and alcohol’, illustrates one kind of statement which,<br />

suitably interpreted, might perhaps be transformed into a numerical<br />

probability statement. (For example, ‘The probability of obtaining . . .<br />

is very near to 1’.) A very different kind of non-numerical probability<br />

statement would be, for instance, ‘The <strong>discovery</strong> of a physical effect<br />

which contradicts the quantum theory is highly improbable’; a statement<br />

which, I believe, cannot be transformed into a numerical probability<br />

statement, or put on a par with one, without distorting its<br />

meaning. I shall deal first with numerical probability statements; nonnumerical<br />

ones, which I think less important, will be considered<br />

afterwards.<br />

In connection with every numerical probability statement, the question<br />

arises: ‘How are we to interpret a statement of this kind and, in<br />

particular, the numerical assertion it makes?’<br />

48 SUBJECTIVE AND OBJECTIVE INTERPRETATIONS<br />

probability 135<br />

The classical (Laplacean) theory of probability defines the numerical<br />

value of a probability as the quotient obtained by dividing the number<br />

of favourable cases by the number of equally possible cases. We might<br />

disregard the <strong>logic</strong>al objections which have been raised against this<br />

definition, 1 such as that ‘equally possible’ is only another expression<br />

for ‘equally probable’. But even then we could hardly accept this definition<br />

as providing an unambiguously applicable interpretation. For<br />

there are latent in it several different interpretations which I will<br />

classify as subjective and objective.<br />

A subjective interpretation of probability theory is suggested by the frequent<br />

use of expressions with a psycho<strong>logic</strong>al flavour, like ‘mathematical<br />

expectation’ or, say, ‘normal law of error’, etc.; in its original form it is<br />

psychologistic. It treats the degree of probability as a measure of the feelings<br />

of certainty or uncertainty, of belief or doubt, which may be<br />

1 Cf. for example von Mises, Wahrscheinlichkeit, Statistik und Wahrheit, 1928, pp. 62 ff.; 2nd<br />

edition, 1936, pp. 84 ff.; English translation by J. Neyman, D. Sholl, and E. Rabinowitsch,<br />

Probability, Statistics and Truth, 1939, pp. 98 ff. *Although the classical definition is often<br />

called ‘Laplacean’ (also in this book), it is at least as old as De Moivre’s Doctrine of Chances,<br />

1718. For an early objection against the phrase ‘equally possible’, see C. S. Peirce, Collected<br />

Papers 2, 1932 (first published 1878), p. 417, para. 2, 673.

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