Polygraph examinations play a very important role in such situations as event investigations and employment screenings. Polygraph examinations monitor psychological reactions to determine if an individual is being deceptive or telling the truth. Being able to determine if an individual is being deceptive with a non-biased approach is of utmost importance. Many of the scoring techniques used to determine deception in a polygraph test are subjective and dependent on the polygraph examiner.

So is it lies, more lies, or just statistics?

Join us to find out as we explore polygraph data using JMP Functional Data Explorer to make curve analysis a breeze. We also use the Fit Model platform for regression analysis and Predictive Modeling Partition platform to flush out the most important factors in predicting deception. Sorting out lies and statistics gets messy so Workflow Builder is used to keep track of all the data cleaning and analysis steps. Come join us to sort out the truth using JMP’s powerful analytics as our witness.