One of the essential prerequisites to conducting a representative study is the randomized subject list. Most of the generators available on the internet provide a pseudo-random data list that presents a weaker form of randomness. However, the task of generatiog truly random lists generation requires a long time and depends on the current state of the computer. The "R4A - Real Randomization for Representative Research Application 1.0" software ("referenceware") developed by the authors and available free of charge employs either the newly produceri RPR algorithm (Reinitialized Pseudo Randomization algorithm) or the widely used RNGCryptoServiceProvider Class developed by Microsoft for true random list generation. The newly established RPR algorithm in the software operates as follows: the seed (provided at a time) is generated six times, thus starting new threads running. The multiplied pseudo-random call changes the seed due to the imprecise timer solution in personal computers.The same thread obtains the new seed value within different time intervals due to the activity of the other threads. This method realizes true random number generation, and its randomness is tested by checking the number list. Our free application uses C# and works on any OS that implements .NET. The latest, free version is officially available at authors'website: http://devosa.hu/dII/r4a  Kulcsszavak: true/real randomization, software, true/pseudo-random numbers, RPR algorithm