Modeling a correlation and a causation link of hidden evidence

A non-transitory computer-readable recording medium recording a program for hidden evidence correlation and causation linking, the program causing a computer to perform:

• forecasting hidden evidence found in relation to a user input in hidden cycle measurements into future forecasted cycle measurements,
• wherein the forecasted hidden evidence is filtered,
• wherein forecasted hidden cycles are transformed into an amplitude versus frequency histogram with each histogram being compared to each other histogram and determined if causation is a candidate, and if causation is a candidate, a probability density function is applied to produce a degree of causation of a causation link for the hidden evidence in relation to the user input.

A hidden evidence correlation and causation linking method, the method comprising:

• forecasting hidden evidence found in relation to a user input in hidden cycle measurements into future forecasted cycle measurements,
• wherein the forecasted hidden evidence is filtered, and
• wherein forecasted hidden cycles are transformed into an amplitude versus frequency histogram with each histogram being compared to each other histogram and determined if causation is a candidate, and if causation is a candidate, a probability density function is applied to produce a degree of causation of a causation link for the hidden evidence in relation to the user input.