1. A computer-implemented method for identifying plausible sources of error in a risk assessment system, comprising: identifying, by a computer, a first variable and a second variable of the risk assessment system, wherein an initial distribution of the first variable is a first hypothesis and an initial distribution of the second variable is a second hypothesis; implementing, by the computer, a Bayesian network to represent implications between the first and second variables; determining, by the computer, an initial probability of the first hypothesis that the first variable has not changed given the second hypothesis that the second variable has not changed, wherein the initial probability is based on a state of knowledge at the time of determining the initial probability; receiving, by the computer, data regarding the first and second variables after determining the initial probability of the first hypothesis; identifying, by the computer, a change of value in the first or second variable; determining, by the computer, by probabilistic induction at least one cause of the change of value in the first or second variable, wherein the at least one cause is a plausible source of error; and determining, by the computer, the plausibility that the change is an error in the data by evaluating the initial probability of the first hypothesis based on the at least one cause.