The Simple Exercise of Fusing Data and Gaining Intelligence

Counting UAPs

Databases such as those housed by MUFON, Bigelow Aerospace, and others contain disparate information. Precedent indicates that these databases will not be integrated any time soon so let’s just assume MUFONs data is most accessible. MUFONs information is subjective until corroborated or correlated. Correlating data to other relevant, and even non-initially perceived relevant, data points indicate, if any, a relation exists between the two.

A relational model has three key inputs; entities, attributes, and domains. There is script which can “fuse” these inputs into what is known as a “virtual sensor”. For example, if we ask the data for a correlation between events in terms of “date, location, time, and type” as the query criteria we would want to relate the cases which had the same date first, then which cases on that date had a “triangle” shape. When speaking of UAPs we must account for the observations of hyper-acceleration and abnormal speeds and trajectories, therefore it is possible that a craft present on one side of the planet could also account for a craft of the same reported shape seen later on that same day.

Time then becomes the discriminator. If we have two triangle craft sightings of the same shape, on the same day, at the same time there is a minimum of two triangle craft in what is commonly called the secret space program, or some other fleet. This is just a simple exercise to demonstrate how data can be fused to provide not only information but also intelligence. I have not yet seen data used to model a relation between “date, location, time, and type”… MUFON, have you?

By H. Damask

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