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appendix *i 317<br />

either lead to an infinite regress, or operate with an aprioristic principle<br />

of induction, a synthetic principle which cannot be empirically tested.<br />

If we distinguish, with Reichenbach, between a ‘procedure of finding’<br />

and a ‘procedure of justifying’ a hypothesis, then we have to say<br />

that the former—the procedure of finding a hypothesis—cannot be<br />

rationally reconstructed. Yet the analysis of the procedure of justifying<br />

hypotheses does not, in my opinion, lead us to anything which may be<br />

said to belong to an inductive <strong>logic</strong>. For a theory of induction is<br />

superfluous. It has no function in a <strong>logic</strong> of science.<br />

Scientific theories can never be ‘justified’, or verified. But in spite of<br />

this, a hypothesis A can under certain circumstances achieve more than<br />

a hypothesis B—perhaps because B is contradicted by certain results of<br />

observations, and therefore ‘falsified’ by them, whereas A is not falsified;<br />

or perhaps because a greater number of predictions can be derived<br />

with the help of A than with the help of B. The best we can say of a<br />

hypothesis is that up to now it has been able to show its worth, and that<br />

it has been more successful than other hypotheses although, in principle,<br />

it can never be justified, verified, or even shown to be probable.<br />

This appraisal of the hypothesis relies solely upon deductive consequences<br />

(predictions) which may be drawn from the hypothesis.<br />

There is no need even to mention induction.<br />

The mistake usually made in this field can be explained historically:<br />

science was considered to be a system of knowledge—of knowledge as<br />

certain as it could be made. ‘Induction’ was supposed to guarantee the<br />

truth of this knowledge. Later it became clear that absolutely certain<br />

truth was not attainable. Thus one tried to get in its stead at least some<br />

kind of watered-down certainty or turth; that is to say, ‘probability’.<br />

But speaking of ‘probability’ instead of ‘truth’ does not help us to<br />

escape either from the infinite regress or from apriorism. 1<br />

From this point of view, one sees that it is useless and misleading to<br />

employ the concept of probabiliy in connection with <strong>scientific</strong><br />

hypotheses.<br />

The concept of probability is used in physics and in the theory of<br />

games of chance in a definite way which may be satisfactorily defined<br />

1 Cf. Popper, Logik der Forschung, for example pp. 188 and 195 f. *(of the original edition);<br />

that is, sections 80 and 81.

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