But the same principles will also supply a caution in the case of the last example. They remind us that, for the mere purpose of comparison, the _average_ man of any group or class is a much better object for selection than the eminent one. There may be greater difficulties in the way of detecting him, but when we have done so we have got possession of a securer and more stable basis of comparison. He is selected, by the nature of the case, from the most numerous stratum of his society; the eminent man from a thinly occupied stratum. In accordance therefore with the now familiar laws of averages and of large numbers the fluctuations amongst the former will generally be very few and small in comparison with those amongst the latter. 1. _Essai de Physique Sociale_, 1869. _Anthropométrie_, 1870. 2. As regards later statistics on the same subject the reader can refer to the Reports of the Anthropometrical Committee of the British Association (1879, 1880, 1881, 1883;--especially this last). These reports seem to me to represent a great advance on the results obtained by Quetelet, and fully to justify the claim of the Secretary (Mr C. Roberts) that their statistics are "unique in range and numbers". They embrace not merely military recruits--like most of the previous tables--but almost every class and age, and both sexes. Moreover they refer not only to stature but to a number of other physical characteristics. 3. As every mathematician knows, the relative numbers of each of these possible throws are given by the successive terms of the expansion of (1 + 1)^{10}, viz. 1, 10, 45, 120, 210, 252, 210, 120, 45, 10, 1. 4. That is they will be more densely aggregated. If a space _the size of the bull's-eye_ be examined in each successive circle, the number of shot marks which it contains will be successively less. The _actual_ number of shots which strike the bull's-eye will not be the greatest, since it covers so much less surface than any of the other circles. 5. Commonly called the exponential law; its equation being of the form y = Ae^{-hx^{2}}. The curve corresponding to it cuts the axis of y at right angles (expressing the fact that near the mean there are a large number of values approximately equal); after a time it begins to slope away rapidly towards the axis of x (expressing the fact that the results soon begin to grow less common as we recede from the mean); and the axis of x is an asymptote in both directions (expressing the fact that no magnitude, however remote from the mean, is strictly impossible; that is, every deviation, however excessive, will have to be encountered at length within the range of a sufficiently long experience). The curve is obviously symmetrical, expressing the fact that equal deviations from the mean, in excess and in defect, tend to occur equally often in the long run. [Figure: Gaussian normal distribution.]