1. A method for identifying plausible sources of error in a financial risk assessment (FRA) system, comprising: identifying, by a computer, a plurality of variables of the FRA system; implementing, by the computer, a Bayesian network to represent implications between and among the plurality of variables; generating, by the computer, an initial probability for each of the plurality of variables of the FRA system that values for each of the plurality of variables have not changed; extracting, by the computer, observed data from one of the plurality of variables of the FRA system; determining, by the computer, a change in a value of at least one of the plurality of variables based on the extracted factual data from the FRA system; and assessing, by the computer, the initial probability for the one of the plurality of variables of the FRA system based on the change in the value of one of the plurality of variables.