New methodology to analyze the random impact level of mathematically proved results

Analyzing processes are important to make a good prediction. Based on the results, right decisions can be made. However, there is some kind of results anyway and therefore it can be hard to differ the real result from the results which occurred randomly, despite of the validations which were used during the process. In this work, we analyzed the environment, where these random results can be appeared. After presenting a framework to deal with these random results, simulation techniques are also introduced.