25.01.2013 Views

popper-logic-scientific-discovery

popper-logic-scientific-discovery

popper-logic-scientific-discovery

SHOW MORE
SHOW LESS
  • No tags were found...

You also want an ePaper? Increase the reach of your titles

YUMPU automatically turns print PDFs into web optimized ePapers that Google loves.

than upon rational arguments; thus, by a slight change, probability is<br />

then interpreted as the intensity, or the degree, of a belief in so far as it is<br />

rationally justifiable. But at this stage, the reference to the intensity of a<br />

belief, or to its degree, clearly becomes redundant; and ‘degree of<br />

belief’ should therefore be replaced by ‘degree of the rationality of<br />

a belief’. These remarks should not be taken to mean that I am prepared<br />

to accept any form of the subjective interpretation; see point 12, below,<br />

and chapter *ii of my Postscript: After Twenty Years.)<br />

3. In order to save space, I shall explain the problem of the weight<br />

of evidence merely by giving one instance of the paradoxes to which I<br />

referred above. It may be called the ‘paradox of ideal evidence’.<br />

Let z be a certain penny, and let a be the statement ‘the nth (as yet<br />

unobserved) toss of z will yield heads’. Within the subjective theory,<br />

it may be assumed that the absolute (or prior) probability of the<br />

statement a is equal to 1/2, that is to say,<br />

(1)<br />

P(a) = 1/2<br />

Now let e be some statistical evidence; that is to say, a statistical report,<br />

based upon the observation of thousands or perhaps millions of<br />

tosses of z; and let this evidence e be ideally favourable to the hypothesis<br />

that z is strictly symmetrical—that it is a ‘good’ penny, with equidistribution.<br />

(Note that here e is not the full, detailed report about the<br />

results of each of these tosses—this report we might assume to have<br />

been lost—but only a statistical abstract from the full report; for<br />

example, e may be the statement, ‘among a million of observed tosses<br />

of z, heads occurred in 500,000 ± 20 cases’. It will be seen, from<br />

point 8, below, that an evidence e′ with 500,000 ± 1,350 cases would<br />

still be ideal, if my functions C and E are adopted; indeed, from the<br />

point of view of these functions, e is ideal precisely because it entails<br />

e′.) We then have no other option concerning P(a, e) than to assume<br />

that<br />

(2)<br />

P(a, e) = 1/2<br />

appendix *ix 425<br />

This means that the probability of tossing heads remains unchanged,<br />

in the light of the evidence e; for we now have

Hooray! Your file is uploaded and ready to be published.

Saved successfully!

Ooh no, something went wrong!