You may have wondered how computers — devices built to follow exact instructions — are able to produce random numbers at all. The truth is that most “randomness” generated by ordinary software isn’t truly random. Instead, computer programs rely on what are called pseudo-random number generators (PRNGs). These are mathematical algorithms that take an initial value, known as a seed, and produce a long sequence of numbers that appear random but are ultimately deterministic.

For many everyday applications — such as simple games, simulations, or UI effects — pseudo-random numbers are perfectly adequate. They’re fast, consistent, and easy for computers to generate. However, because they are created through predictable formulas, they lack the natural unpredictability found in real-world random events. If you know the algorithm and the seed, you can reproduce the entire sequence. This predictability is why PRNGs are not ideal for tasks requiring high-quality randomness, such as cryptography, secure token generation, or anything that depends on genuine uncertainty.

TrueRNG takes a different approach. Instead of relying on mathematical patterns, it provides access to true random numbers derived from atmospheric noise — naturally occurring radio fluctuations that are inherently chaotic and impossible to predict. These tiny variations in the environment offer a much richer and more authentic source of randomness than any algorithm can generate on its own.

By capturing and processing this atmospheric noise, TrueRNG produces random values that are fundamentally non-deterministic. This makes them well-suited for applications where unpredictability is crucial: security-sensitive systems, scientific experiments, randomized testing, or even creative tools that require unique outcomes every time.

In short, while typical programs rely on pseudo-randomness, TrueRNG brings real-world randomness to the digital world by tapping into nature’s own unpredictability. It offers a level of randomness that is far closer to rolling real dice, shuffling physical cards, or drawing lottery numbers — giving you results that cannot be reproduced, reverse-engineered, or anticipated.