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
In fact it appears to me that this want of symmetry
ought to be looked for in all cases in which the phenomena
under measurement are of a 'one-sided' character; in the
sense that they are measured on one side only of a certain
fixed point from which their possibility is supposed to start.
For not only is it impossible for them to fall below this point:
long before they reach it the influence of its proximity is felt
in enhancing the difficulty and importance of the same
amount of absolute difference.
Look at a table of statures, for instance, with a mean
value of 69 inches. A diminution of three feet (were this
possible) is much more influential,--counts for much more,
in every sense of the term,--than an addition of the same
amount; for the former does not double the mean, while the
latter more than halves it. Revert to an illustration. If
a vast number of petty influencing circumstances of the kind
already described were to act upon a swinging _pendulum_ we
should expect the deflections in each direction to display
symmetry; but if they were to act upon a _spring_ we should
not expect such a result. Any phenomena of which the
latter is the more appropriate illustration can hardly be
expected to range themselves with symmetry about a mean.[9]
9. (II.) The last remarks will suggest another kind of
proof which might be offered to establish the invariable nature
of the law of error. It is of a direct deductive kind, not
appealing immediately to statistics, but involving an enquiry
into the actual or assumed nature of the causes by which the
events are brought about. Imagine that the event under
consideration is brought to pass, in the first place, by some
fixed cause, or group of fixed causes. If this comprised all
the influencing circumstances the event would invariably
happen in precisely the same way: there would be no errors
or deflections whatever to be taken account of. But now
suppose that there were also an enormous number of very
small causes which tended to produce deflections; that these
causes acted in entire independence of one another; and that
each of the lot told as often, in the long run, in one direction
as in the opposite. It is easy[10] to see, in a general way, what
would follow from these assumptions. In a very few cases
nearly all the causes would tell in the same direction; in
other words, in a very few cases the deflection would be
extreme. In a greater number of cases, however, it would
only be the most part of them that would tell in one direction,
whilst a few did what they could to counteract the rest;
the result being a comparatively larger number of somewhat
smaller deflections. So on, in increasing numbers, till we
approach the middle point. Here we shall have a very large
number of very small deflections: the cases in which the
opposed influences just succeed in balancing one another,
so that no error whatever is produced, being, though actually
infrequent, relatively the most frequent of all.
Public-domain text, read in full here on John Shaqi.
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