Understanding the Difference Between Pseudorandom and True Randomness

Pseudorandom refers to a sequence of numbers or values that appear to be randomly generated, but are actually deterministic and can be reproduced by a algorithm or formula. In other words, pseudorandom numbers are not truly random, but rather a simulation of randomness.

Pseudorandom number generators (PRNGs) are algorithms that produce a sequence of numbers that resemble true randomness, but are actually deterministic. These algorithms use a seed value and a mathematical formula to generate the next number in the sequence. The seed value determines the starting point of the sequence, and the formula determines how the numbers are generated.

Pseudorandom numbers have many applications in computer science and engineering, such as in simulations, modeling, and statistical analysis. However, they should not be used in situations where true randomness is required, such as in cryptography or gambling.

True randomness, on the other hand, refers to a sequence of numbers that are genuinely unpredictable and cannot be reproduced by any algorithm or formula. True randomness is typically generated using physical processes, such as radioactive decay or thermal noise.

In summary, pseudorandom refers to a sequence of numbers that appear to be randomly generated but are actually deterministic, while true randomness refers to a sequence of numbers that are genuinely unpredictable and cannot be reproduced by any algorithm or formula.