Effectiveness of T-Consciousness Fields on Dispersion Index and Entropy of Generated Random Number Distribution

The effectiveness of T-Consciousness Fields on the world of matter and energy has been examined in various studies. The impact of these fields on the realm of computer computations represents a novel area of research. Therefore, in the initial step, the generation of random numbers, which is a fundamental tool in Monte Carlo computations and an essential priority in such simulations, has been selected for investigation. Random numbers generated by different computer programs are pseudo-random, meaning they use a defined mathematical formula. They have a distribution that depends on the initial random number selected, which can also be random. Additionally, minor hardware and software details of the generating system can cause slight variations in their uniform distribution. In this research, by generating random numbers in different hardware systems (desktop and laptop) and various software environments (Linux and Windows operating systems, C++ and Fortran programming languages) and investigating the effects of T-Consciousness Fields 1 and 2 on these distributions, we aimed to examine the impact of TCFs on the most fundamental level of Monte Carlo computations, which is the generation of these numbers. According to the results of this study, the influence of T-Consciousness Fields is confirmed _with different values and forms_ on computer computations based on the generation of random numbers. What is observed in the details of the results of this study is a change in the median and mean values in populations towards values less than 0.5 (for random numbers generated between zero and one), indicating a change in the distribution of generated numbers. This susceptibility was observed to be more favorable in the desktop system, Linux operating system, and C++ programming language, with a more repeatable trend than the indicators under investigation and mentioned, compared to the laptop system used.