The principle of induction, _prima facie_, is as follows: Let there
be two kinds of events, A and B (_e.g._ lightning and thunder), and
let many instances be known in which an event of the kind A has
been quickly followed by one of the kind B, and no instances of the
contrary. Then either a sufficient number of instances of this
sequence, or instances of suitable kinds will make it increasingly
probable that A is always followed by B, and in time the probability
can be made to approach certainty without limit provided the right
kind and number of instances can be found. This is the principle we
have to examine. Scientific theories of induction generally try to
substitute well-chosen instances for numerous instances, and represent
number of instances as belonging to crude popular induction. But in
fact popular induction depends upon the emotional interest of the
instances, not upon their number. A child who has burnt its hand
_once_ in a candle-flame establishes an induction, but words take
longer, because at first they are not emotionally interesting. The
principle used in primitive practice is: Whatever, on a given occasion,
immediately precedes something very painful or pleasant, is a sign
of that interesting event. Number plays a secondary part as compared
with emotional interest. That is one reason why rational thought is so
difficult.
The logical problem of induction is to show that the proposition “A
is always accompanied (or followed) by B” can be rendered probable by
knowledge of instances in which this happens, provided the instances
are suitably chosen or very numerous. Far the best examination of
induction is contained in Mr. J. M. Keynes’s _Treatise on Probability_.
There is a valuable doctor’s thesis by the late Jean Nicod, _Le
Problème logique de l’induction_, which is very ably reviewed by R. B.
Braithwaite in _Mind_, October 1925. A man who reads these three will
know most of what is known about induction. The subject is technical
and difficult, involving a good deal of mathematics, but I will attempt
to give the gist of the results.
Public-domain text, read in full here on John Shaqi.
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