1. A computer implemented method for inferring a probability of a first inference, the computer implemented method comprising: 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 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 corresponding datum, data regarding hierarchies associated with corresponding datum, data regarding a corresponding source of each datum, and data regarding probabilities associated with integrity, reliability, and importance of each datum; establishing the fact as a frame of reference for the query, wherein the frame of reference is established to determine rules for limiting the plurality of divergent data that is searched, and wherein the frame of reference is established to generate associations among cohorts of the plurality of cohort data, wherein the cohorts are a group of associated individuals or objects sharing a common characteristic, and the cohorts are automatically generated using data stored at an atomic level; 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 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 probability of the first inference, wherein the probability of the first inference is determined from comparing the plurality of data divergent according to the first set of rules; responsive to at least one of a) the probability of the first inference exceeding a first pre-selected value, b) a significance of the first inference exceeding a second pre-selected value, c) a rate of change in the probability of the first inference exceeding a third pre-selected value, d) an amount of change in the probability of the first inference exceeding a fourth pre-selected value, and e) combinations thereof, executing an action trigger; and storing at least one of the probability of the first inference and the action trigger.