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What is the probability that an individual was fatigued at the time of an incident/accident or operational deviation?
What was the source of excess fatigue risk (if any)?
At what level of the Fatigue Risk Management System did the fatigue risk originate?
What percent of my company’s incidents/accidents/operational deviations are caused by a fatigue impaired employee?
What is the cost of employee fatigue impairment at my company?

Benefits of FACTS™ License
FACTS™ is an expert web-based system that calculates the probability of whether a person was impaired by fatigue at the time of an accident. With a FACTS™ license you now have an objective, scientifically-validated FRMS tool for:

Investigating all incidents/accidents
Storing your operation's fatigue risk data
Knowing the true cost of fatigue
Benchmarking and measuring the impact of your fatigue-management initiatives

Fatigue in the Workplace

There is no blood, urine or breathalyzer test which can determine whether a person is impaired by fatigue.

As a result fatigue tends to be under-reported and under-investigated, and the costs of fatigue are too often unknown and/or ignored. Click to Read More

About FACTS

FACTS is a software program which estimates the probability of whether a person was or was not impaired by fatigue at the time of an accident or incident [1].

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Site Terms of Use

[1] It should be noted that FACTS is not designed to be used, nor should be used, in the litigation of accidents and incidents where fatigue impairment is alleged by a party to the action. CIRCADIAN does not represent or warrant that the calculated overall probability of fatigue impairment derived by FACTS rises to the level of a reasonable degree of scientific or medical certainty required by a court of law, since it is not designed to consider all the relevant evidence that may be available in a litigated case. FACTS is specifically designed for statistical assessments of fatigue impairment in a population of people or employees involved in incidents, accidents or other events. As such it can serve as a useful tool in data-driven Fatigue Risk Management Systems.