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popper-logic-scientific-discovery

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282<br />

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

justify the preference for a theory in the light of its corroboration, that is, of<br />

the present state of the critical discussion of the competing theories,<br />

which are critically discussed and compared from the point of view of<br />

assessing their nearness to the truth (verisimilitude). The current state<br />

of this discussion may, in principle, be reported in the form of their<br />

degrees of corroboration. The degree of corroboration is not, however,<br />

a measure of verisimilitude (such a measure would have to be timeless)<br />

but only a report of what we have been able to ascertain up to a certain<br />

moment of time, about the comparative claims of the competing theories<br />

by judging the available reasons which have been proposed for and<br />

against their verisimilitude.<br />

(2) A metaphysical problem raised by the idea of verisimilitude is:<br />

are there genuine regularities in nature? My reply is ‘yes’. One of the<br />

arguments (non-<strong>scientific</strong> but perhaps ‘transcendental’; see pp. 384–5)<br />

in favour of this reply is: if no regularities were apparent in nature then<br />

neither observations nor language could exist: neither a descriptive nor<br />

an argumentative language.<br />

(3) The force of this reply depends on some kind of commonsense<br />

realism.<br />

(4) The pragmatic problem of induction solves itself: the practical<br />

preference for the theory which in the light of the rational discussion<br />

appears to be nearer to the truth is risky but rational.<br />

(5) The psycho<strong>logic</strong>al problem (why do we believe that the theory so<br />

chosen will continue to be worthy of our trust?) is, I suggest, trivial: a<br />

belief or trust is always irrational, but it may be important for action.<br />

(6) Not all possible ‘problems of induction’ are solved in this way.<br />

(See also my forthcoming book: Objective Knowledge: An Evolutionary<br />

Approach.)

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