The fallacy of underrating the number is often seen in games of
chance, where the object is to create a vast number of alternatives,
all equally possible, equally open to the player, without his being
able to affect the advent of one more than another. In whist, for
example, there are some six billions of possible hands. Yet it is a
common impression that, one night with another, in the course of a
year, a player will have dealt to him about an equal number of good
and bad hands. This is a fallacy. A very much longer time is required
to exhaust the possible combinations. Suppose a player to have
2000 hands in the course of a year: this is only one "set," one
combination, out of thousands of millions of such sets possible. Among
those millions of sets, if there is nothing but chance in the matter,
there ought to be all proportions of good and bad, some sets all good,
some all bad, as well as some equally divided between good and bad.[1]
Sometimes, however, the number of possible alternatives is overrated.
Thus, visitors to London often remark that they never go there without
meeting somebody from their own locality, and they are surprised at
this as if they had the same chance of meeting their fellow-visitors
and any other of the four millions of the metropolis. But really the
possible alternatives of rencounter are far less numerous. The places
frequented by visitors to London are filled by much more limited
numbers: the possible rencounters are to be counted by thousands
rather than by millions.
[Footnote 1: See De Morgan's _Essay on Probabilities_, c. vi.,
"On Common Notions of Probability".]
CHAPTER IX.
PROBABLE INFERENCE TO PARTICULARS--THE MEASUREMENT OF PROBABILITY.
Undoubtedly there are degrees of probability. Not only do we expect
some events with more confidence than others: we may do so, and our
confidence may be misplaced: but we have reason to expect some with
more confidence than others. There are different degrees of rational
expectation. Can those degrees be measured numerically?
The question has come into Logic from the mathematicians. The
calculation of Probabilities is a branch of Mathematics. We have seen
how it may be applied to guide investigation by eliminating what is
due to chance, and it has been vaguely conceived by logicians that
what is called the calculus of probabilities might be found useful
also in determining by exact numerical measurement the probability
of single events. Dr. Venn, who has written a separate treatise on the
Logic of Chance, mentions "accurate quantitative apportionment of our
belief" as one of the goals which Logic should strive to attain. The
following passage will show his drift.[1]
Public-domain text, read in full here on John Shaqi.
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