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popper-logic-scientific-discovery

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The first problem I have in mind is, again, that of the metric of <strong>logic</strong>al<br />

probability (cf. the second note, point 3), and its relation to the distinction<br />

between what I am going to call primary and secondary probability<br />

statements. My thesis is that on the secondary level, Laplace’s<br />

and Bernoulli’s distribution provide us with a metric.<br />

We may operate with a system S 1 = {a, b, c, a 1, b 1, c 1, . . . } of elements<br />

(in the sense of our system of postulates in appendix *iv). These elements<br />

will give rise to probability statements of the form ‘p(a, b) = r’. We<br />

may call them ‘primary probability statements’. These primary probability<br />

statements may now be considered as the elements of a secondary<br />

system of elements, S 2 = {e, f, g, h, . . . }; so that ‘e’, ‘f’, etc., are now<br />

names of statements of the form ‘p(a, b) = r’.<br />

Now Bernoulli’s theorem tells us, roughly, the following: let h be<br />

‘p(a, b) = r’; then if h is true, it is extremely probable that in a long<br />

sequence of repetitions of the conditions b, the frequency of the occurrence<br />

of a will be equal to r, or very nearly so. Let ‘δ r(a) n’ denote the<br />

statement that a will occur in a long sequence of n repetitions with a<br />

frequency r ± δ. Then Bernoulli’s theorem says that the probability of<br />

δ r(a) n will approach 1, with growing n, given h, i.e. given that p(a, b) = r.<br />

(It also says that this probability will approach 0, given that p(a, b) = s,<br />

wheever s falls outsider r ± δ; which is important for the refutation of<br />

probabilistic hypotheses.)<br />

Now this means that we may write Bernoulli’s theorem in the form<br />

of a (secondary) statement of relative probability about elements g and h<br />

of S 2; that is to say, we can write it in the form<br />

lim p(g, h) = 1<br />

n →∞<br />

appendix *ix 435<br />

where g = δ r(a) n and where h is the information that p(a, b) = r; that is to<br />

say, h is a primary probability statement and g is a primary statement of<br />

relative frequency.<br />

These considerations show that we have to admit, in S 2, frequency<br />

statements such as g, that is to say, δ r(a) n, and probabilistic assumptions,<br />

or hypothetical probabilistic estimates, such as h. It seems for this reason<br />

proper, in the interest of a homogeneous S 2, to identify all the<br />

probability statements which form the elements of S 2, with frequency<br />

statements, or in other words, to assume, for the primary probability

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