Can there be differences in the quality of random number generators?

[Julio88]

Yes, there can be differences in the quality of random number generators. Some generators produce pseudo-random numbers, which means that the generated sequence of numbers may look random but is actually determined by a mathematical formula. Such generators have a limited period after which the sequence repeats itself.
On the other hand, high-quality random number generators use sources of true randomness such as atmospheric noise, radioactive decay, or other unpredictable physical phenomena to generate unpredictable and truly random numbers. The quality of these generators can be measured by the length of the period they take to repeat, the distribution of the generated numbers, and other statistical tests. In general, it is important to use high-quality random number generators for security-critical applications such as encryption and cryptography. These generators ensure that the generated keys and other sensitive data are truly unpredictable and cannot be easily guessed or hacked.

 

[Crazy_winner]

An RNG's first seed, or starting point, might affect how random it is. A low entropy seed, or one that contains less unpredictably distributed information, could provide a less random set of integers. High-quality RNGs often use seeds from reliable and unpredictable sources.

 

[ProGambler]

It's important to note that the quality of an RNG is not always directly related to its source (software or hardware). Both software and hardware RNGs can be implemented with high or low quality. The key is to use well-designed and properly implemented RNGs that undergo thorough testing and adhere to recognized standards