The Logic of Chance, 3rd edition: An Essay on the Foundations and Province of the Theory of Probability, With Especial Reference to Its Logical Bearings and Its Application to Moral and Social Science and to StatisticsVenn, John
Philosophy
The Logic of Chance, 3rd edition: An Essay on the Foundations and Province of the Theory of Probability, With Especial Reference to Its Logical Bearings and Its Application to Moral and Social Science and to Statistics
Venn, John
Chance; Logic, Symbolic and mathematical; Probabilities; Science -- Methodology
2. Doubts have been expressed about the truly random character of the
digits in this case (v. De Morgan, _Budget of Paradoxes_, p. 291),
and Jevons has gone so far as to ask (_Principles of Science_,
p. 529), "Why should the value of π, when expressed to a great
number of figures, contain the digit 7 much less frequently than any
other digit!" I do not quite understand what this means. If such a
question were asked in relation to any unusual divergence from the
_à priori_ chance in a case of throwing dice, say, we should
probably substitute for it the following, as being more appropriate
to our science:--Assign the degree of improbability of the event in
question; i.e. its statistical rarity. And we should then proceed
to judge, in the way indicated in the text, whether this
improbability gave rise to any grounds of suspicion.
The calculation is simple. The actual number of 7's, in the 708
digits, is 53: whilst the fair average would be 71. The question is,
What is the chance of such a departure from the average in 708
turns? By the usual methods of calculation (v. Galloway on
_Probability_) the chances against an excess or defect of 18 are
about 44 : 1, in respect of any specified digit. But of course what
we want to decide are the chances against _some one of the ten_
showing this divergence. This I estimate as being approximately
determined by the fraction (44/45)^{10}, viz. 0.8. This represents
odds of only about 4 : 1 against such an occurrence, which is
nothing remarkable. As a matter of fact several digits in the two
other magnitudes which Mr Shanks had calculated to the same length,
viz. Tan^{-1} 1/5 and Tan^{-1} 1/239, show the same divergencies
(v. _Proc. Roy. Soc._ xxi. 319).
I may call attention here to a point which should have been noticed
in the chapter on Randomness. We must be cautious when we decide
upon the random character by mere inspection. It is very instructive
here to compare the digits in π with those within the 'period' of a
circulating decimal of very long period. That of 1 ÷ 7699, which
yields the full period of 7698 figures, was calculated some years
ago by two Cambridge graduates (Mr Lunn and Mr Suffield), and
privately printed. If we confine our examination to a portion of the
succession the random character seems plausible; i.e. the digits,
and their various combinations, come out in nearly, but not exactly,
equal numbers. So if we take batches of 10; the averages hover
nicely about 45. But if we took the whole period which
'circulates,' we should find these characteristics overdone, and the
random character would disappear. That is, instead of a merely
ultimate approximation to equality we should have (as far as this is
possible) an absolute attainment of it.
Public-domain text, read in full here on John Shaqi.
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