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136<br />

some structural components of a theory of experience<br />

aroused in us by certain assertions or conjectures. In connection with<br />

some non-numerical statements, the word ‘probable’ may be quite<br />

satisfactorily translated in this way; but an interpretation along these<br />

lines does not seem to me very satisfactory for numerical probability<br />

statements.<br />

A newer variant of the subjective interpretation,* 1 however, deserves<br />

more serious consideration here. This interprets probability statements<br />

not psycho<strong>logic</strong>ally but <strong>logic</strong>ally, as assertions about what may be called<br />

the ‘<strong>logic</strong>al proximity’ 2 of statements. Statements, as we all know, can<br />

stand in various <strong>logic</strong>al relations to one another, like derivability,<br />

incompatibility, or mutual independence; and the <strong>logic</strong>o-subjective<br />

theory, of which Keynes 3 is the principal exponent, treats the probability<br />

relation as a special kind of <strong>logic</strong>al relationship between two statements.<br />

The two extreme cases of this probability relation are derivability and<br />

contradiction: a statement q ‘gives’, 4 it is said, to another statement p<br />

the probability 1 if p follows from q. In case p and q contradict each<br />

other the probability given by q to p is zero. Between these extremes lie<br />

other probability relations which, roughly speaking, may be interpreted<br />

in the following way: The numerical probability of a statement p<br />

(given q) is the greater the less its content goes beyond what is already<br />

contained in that statement q upon which the probability of p depends<br />

(and which ‘gives’ to p a probability).<br />

The kinship between this and the psychologistic theory may be seen<br />

from the fact that Keynes defines probability as the ‘degree of rational<br />

belief’. By this he means the amount of trust it is proper to accord to a<br />

statement p in the light of the information or knowledge which we get<br />

from that statement q which ‘gives’ probability to p.<br />

A third interpretation, the objective interpretation, treats every numerical<br />

* 1 The reasons why I count the <strong>logic</strong>al interpretation as a variant of the subjective interpretation<br />

are more fully discussed in chapter *ii of the Postscript, where the subjective<br />

interpretation is criticized in detail. Cf. also appendix *ix.<br />

2 Waismann, Logische Analyse des Wahrscheinlichkeitsbegriffs, Erkenntnis 1, 1930, p. 237: ‘Probability<br />

so defined is then, as it were, a measure of the <strong>logic</strong>al proximity, the deductive<br />

connection between the two statements’. Cf. also Wittgenstein, op. cit., proposition 5.15 ff.<br />

3 J. M. Keynes, A Treatise on Probability, 1921, pp. 95 ff.<br />

4 Wittgenstein, op. cit., proposition 5.152: ‘If p follows from q, the proposition q gives to<br />

the proposition p the probability 1. The certainty of <strong>logic</strong>al conclusion is a limiting case<br />

of probability.’

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