Of course the statistics of morality deal with quantities not qualities, but in the course of statistical examination the latter are met with. So, e.g., examinations into the relation of crime to school-attendance and education, into the classes that show most suicides, etc., connect human qualities with statistical data. The time is certainly not far off when we shall seek for the proper view of the probability of a certain assumption with regard to some rare crime, doubtful suicide, extraordinary psychic phenomena, etc., with the help of a statistical table. This possibility is made clearer when the inconceivable constancy of some figures is considered. Suppose we study the number of suicides since 1819 in Austria, in periods of eight years. We find the following figures, 3000, 5000, 6000, 7000, 9000, 12000, 15000--i.e., a regular increase which is comparable to law.[166] Or suppose we consider the number of women, who, in the course of ten continuous years in France, shot themselves; we find 6, 6, 7, 7, 6, 6, 7; there is merely an alternation between 6 and 7. Should not we look up if in some one year eight or nine appeared? Should not we give some consideration to the possibility that the suicide is only a pretended one? Or suppose we consider the number of men who have drowned themselves within the same time: 280, 285, 292, 276, 257, 269, 258, 276, 278, 287,--Wagner says rightly of such figures “that they contain the arithmetical relation of the mechanism belonging to a moral order which ought to call out even greater astonishment than the mechanism of stellar systems.” Still more remarkable are the figures when they are so brought together that they may be seen as a curve. It is in this way that Drobisch brings together a table which distributes crime according to age. Out of a thousand crimes committed by persons between the ages of: +-------------------+----------+----------+ | | AGAINST | AGAINST | | | PROPERTY | PERSONS | +-------------------+----------+----------+ |Less than 16 years | 2 | 0.53 | | 16-21 | 105 | 28 | | 21-25 | 114 | 50 | | 25-30 | 101 | 48 | | 30-35 | 93 | 41 | | 35-40 | 78 | 31 | | 40-45 | 63 | 25 | | 45-50 | 48 | 19 | | 50-55 | 34 | 15 | | 55-60 | 24 | 12 | | 60-65 | 19 | 11 | | 65-70 | 14 | 8 | | 70-80 | 8 | 5 | |More than 80 | 2 | 2 | +-------------------+----------+----------+