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138<br />

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

49 THE FUNDAMENTAL PROBLEM OF<br />

THE THEORY OF CHANCE<br />

The most important application of the theory of probability is to what<br />

we may call ‘chance-like’ or ‘random’ events, or occurrences. These<br />

seem to be characterized by a peculiar kind of incalculability which<br />

makes one disposed to believe—after many unsuccessful attempts—<br />

that all known rational methods of prediction must fail in their case.<br />

We have, as it were, the feeling that not a scientist but only a prophet<br />

could predict them. And yet, it is just this incalculability that makes us<br />

conclude that the calculus of probability can be applied to these<br />

events.<br />

This somewhat paradoxical conclusion from incalculability to calculability<br />

(i.e. to the applicability of a certain calculus) ceases, it is true,<br />

to be paradoxical if we accept the subjective theory. But this way of<br />

avoiding the paradox is extremely unsatisfactory. For it entails the view<br />

that the probability calculus is not a method of calculating predictions,<br />

in contradistinction to all the other methods of empirical science. It is,<br />

according to the subjective theory, merely a method for carrying out<br />

<strong>logic</strong>al transformations of what we already know; or rather what we do<br />

not know; for it is just when we lack knowledge that we carry out these<br />

transformations. 1 This conception dissolves the paradox indeed, but it<br />

does not explain how a statement of ignorance, interpreted as a frequency statement, can be<br />

empirically tested and corroborated. Yet this is precisely our problem. How can<br />

we explain the fact that from incalculability—that is, from ignorance—<br />

we may draw conclusions which we can interpret as statements about<br />

empirical frequencies, and which we then find brilliantly corroborated<br />

in practice?<br />

Even the frequency theory has not up to now been able to give a<br />

satisfactory solution of this problem—the fundamental problem of the theory<br />

of chance, as I shall call it. It will be shown in section 67 that this problem<br />

is connected with the ‘axiom of convergence’ which is an integral part<br />

1 Waismann, Erkenntnis 1, 1930, p. 238, says: ‘There is no other reason for introducing the<br />

concept of probability than the incompleteness of our knowledge.’ A similar view is held<br />

by C. Stumpf (Sitzungsberichte der Bayerischen Akademie der Wissenschaften, phil.-hist. Klasse, 1892,<br />

p. 41). *I believe that this widely held view is responsible for the worst confusions. This<br />

will be shown in detail in my Postscript, chapters *ii and *v.

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