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popper-logic-scientific-discovery

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ook (sections 80, 81, and 83) by a discussion of certain ideas of<br />

Reichenbach’s, Keynes’s and Kaila’s. One result of this discussion is<br />

that in an infinite universe (it may be infinite with respect to the number of<br />

distinguishable things, or of spatio-temporal regions), the probability of<br />

any (non-tauto<strong>logic</strong>al) universal law will be zero.<br />

(Another result was that we must not uncritically assume that scientists<br />

ever aim at a high degree of probability for their theories. They<br />

have to choose between high probability and high informative content,<br />

since for <strong>logic</strong>al reasons they cannot have both; and faced with this choice, they<br />

have so far always chosen high informative content in preference to<br />

high probability—provided that the theory has stood up well to its<br />

tests.)<br />

By ‘probability’, I mean here either the absolute <strong>logic</strong>al probability of<br />

the universal law, or its probability relative to some evidence; that is to say,<br />

relative to a singular statement, or to a finite conjunction of singular<br />

statements. Thus if a is our law, and b any empirical evidence, I assert<br />

that<br />

(1)<br />

and also that<br />

(2)<br />

p(a) = 0<br />

p(a, b) = 0<br />

appendix *vii 375<br />

These formulae will be discussed in the present appendix.<br />

The two formulae, (1) and (2), are equivalent. For as Jeffreys and<br />

Keynes observed, if the ‘prior’ probability (the absolute <strong>logic</strong>al probability)<br />

of a statement a is zero, then so must be its probability relative<br />

to any finite evidence b, since we may assume that for any finite<br />

evidence b, we have p(b) ≠ 0. For p(a) = 0 entails p(ab) = 0, and since<br />

p(a, b) = p(ab)/p(b), we obtain (2) from (1). On the other hand, we<br />

may obtain (1) from (2); for if (2) holds for any evidential b, however<br />

weak or ‘almost tauto<strong>logic</strong>al’, we may assume that it also holds for the<br />

zero-evidence, that is to say, for the tautology t = bb¯; and p(a) may be<br />

defined as equal to p(a, t).<br />

There are many arguments in support of (1) and (2). First, we may<br />

consider the classical definition of probability as the number of the

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