(i)         is based on a set of best-estimate assumptions, known as a 'Base Case', founded on inputs for the Lifestyle Behaviour and Ascribed Economic Value of the forecast 5,000 Participants and 50 Volunteers to produce a set of likely results;

(ii)        compares (i) above with the results of the Pilot and Research Programme which are fed in from Purpose Built Quant Modelling Software;

(ii)        will incorporate 'Scenario Testing' eg. 'Less Effective', 'Forecast' and 'More Effective' outcomes based on the forecast Materially Altered Lifestyle being less than, equal to or better than forecast in the 'Base Case' (ie. will the Pilot establish that the 5,000 Participants and the Research Programme quantify that the 50 Volunteers will benefit less than, equal to or more that the 'Base Case') which can expeditiously display best & worst case extremes, feasibility and risks;

(iii)       will not incorporate 'Stress Testing' changes to the fundamentals (ie reduced water supply, increased food costs, higher energy costs, a disease outbreak or epidemic etc.) which impact the Ascribed Economic Value;

(iv)       might incorporate some 'Sensitivity Testing' to identify the impact of changing one assumption, or perhaps a few linked assumptions and appraise if the model is realistic as users will generally have a meaningful idea of the outcome when they alter a 'Sensitivity'; and

(v)        might incorporate some 'Probabilistic Stochastic Testing' using random numbers to simulate a large number of alternative scenarios that might transpire so as to calculate percentiles to get some idea of the probability of different outcomes on Materially Altered Lifestyle and Economic Return on Capex.

Also read definition of Purpose Built Quant Modelling Software and Section 18