1. A computer implemented method for inferring a probability of a first inference, wherein a probability of the first inference relates to anomalous behavior of a member of a cohort, wherein the anomalous behavior comprises a behavior that is more likely not to occur than to occur, and wherein the computer implemented method comprises: receiving a query at a database regarding a fact, wherein the first inference is absent from the database, wherein the database comprises a plurality of divergent data, wherein the plurality of divergent data includes a plurality of cohort data, wherein each datum of the plurality of divergent data in the database is conformed to the dimensions of the database, wherein each datum of the plurality of divergent data has associated metadata and an associated key, wherein the associated metadata comprises data regarding cohorts associated with the corresponding datum, data regarding hierarchies associated with the corresponding datum, data regarding a corresponding source of the datum, and data regarding probabilities associated with integrity, reliability, and importance of each associated datum; establishing the fact as a frame of reference for the query; applying a first set of rules to the query, wherein the first set of rules are determined for the query according to a second set of rules, wherein the frame of reference serves as an anchor for generating associations among the plurality of cohort data and is used to determine rules for limiting the plurality of divergent data that is searched, wherein the first set of rules determine how the plurality of divergent data are to be compared to the fact, and wherein the first set of rules determine a search space for the query; executing the query to create the first inference and the probability of the first inference, wherein the probability of the first inference is determined from comparing the plurality of divergent data according to the first set of rules; storing the probability of the first inference; performing security filtering based on at least one of a significance level of the probability of a first inference, the probability of the first inference exceeding a pre-selected value, and a security level possessed by a user; presenting the probability of the first inference to the user based on whether the user is authorized to receive a set of credit information under a standard selected from a group consisting of a law, a policy, and an institutional review board; and presenting the probability of the first inference to the user even if the user is not authorized to receive the set of credit information under the standard selected from a group consisting of a law, a policy, and an institutional review board, but only responsive to a) restricting the user from accessing the credit information and b) the probability of the first inference exceeding a pre-defined value.
11. The computer implemented method of claim 1 , further comprising: allowing the user to access data related to the probability of the first inference only if a condition is satisfied, wherein the condition is selected from the group consisting of whether the security level possessed by the user exceeds a pre-selected value, whether the significance level of the probability of the first inference exceeds a pre-selected value, and whether the probability of the first inference exceeds a pre-selected value.