The object of this Paper is to give the mathematical proof, in its most general form, of the law of single errors of observations, on the hypothesis that each error in practice arises from the joint operation of a large number of independent sources of error, each of which, did it exist alone, would occasion errors of extremely small amount as compared generally with those actually produced by all the sources combined. This proof is contained in a process given for a different object, namely, Poisson’s generalization of Laplace’s investigation of the law of the mean results of a large number of observations, to be found in the Connaissance des Temps’ for 1827, and also in his 'Recherches sur la Probabilité des Jugements ’ it is also reproduced in Mr. Todhunter’s able History of the Theory of Probability.’ It is not therefore pretended that any new results are arrived at in the present Paper. Considering, however, the importance and celebrity of the question, and the refined and difficult character of Poisson’s analysis, it will not probably be deemed superfluous to show how the same law may be demonstrated with equal generality, in a much more simple and elementary manner. The difficulty of the general proof seems indeed to have been so extensively felt, that several attempts have been made to simplify it. However, so far as the present writer is aware, no proof has been given, except Poisson’s, which is not open to grave objection, as based upon unjustifiable assumptions, or as unduly limiting, the generality of the investigation.