**Computers** generate **random** numbers by taken them from a long list of pre-generated values. Using a seed value helps to create different results every time the program is run, but isn't a fix-all because the list is fixed - it only changes the start position within that list. Web. Web. Web. Web. Web. Web. Web. Web. **In** ideal terms, we'd like a sequence of **random** numbers to have no algorithm, at all, that allows us to predict the next element in the sequence given the previous. If, however, we use an algorithm, any algorithm, to generate a sequence of numbers, the same algorithm, by definition, can compute any element in the sequence. **RANDOM**.ORG is a true **random** number service that generates randomness via atmospheric noise. This page explains why it's hard (and interesting) to get a **computer** to generate proper **random** numbers. **Random** numbers are useful for a variety of purposes, such as generating data encryption keys, simulating and modeling complex phenomena and for. **In** ideal terms, we'd like a sequence of **random** numbers to have no algorithm, at all, that allows us to predict the next element in the sequence given the previous. If, however, we use an algorithm, any algorithm, to generate a sequence of numbers, the same algorithm, by definition, can compute any element in the sequence. Web. Web. Web. . Web. Web. Web. The results may be sufficiently complex to make the pattern difficult to identify, but because it is ruled by a carefully defined and consistently repeated algorithm, the numbers it produces are not truly **random**. "They are what we call 'pseudo-**random'** numbers," Ward says. For most applications, a pseudo-**random** number is sufficient, he adds. Web. Web. Web. Web. Web. Web. . Web. Web. Web. Web. Web. Web. Web. Web. . Web. Web. Web. Web. Web. Web. Web. Web. Web. Web. **What** **is** true randomness in **programming**? Without going to the wildly esoteric, true randomness can only be produced externally by a Hardware **random** number generator. computing, a (HRNG) or (TRNG) is a device that generates **random** numbers physical process, rather than by means of an algorithm. Web. Web. Web. Web. Web. Web. Web. The results may be sufficiently complex to make the pattern difficult to identify, but because it is ruled by a carefully defined and consistently repeated algorithm, the numbers it produces are not truly **random**. "They are what we call 'pseudo-**random'** numbers," Ward says. For most applications, a pseudo-**random** number is sufficient, he adds. Web. Web. Web. . Heads, take a step forward. Tails, take a step backward. This is a **random** walk—a path defined as a series of **random** steps. Stepping off that balance beam and onto the floor, you could perform a **random** walk in two dimensions by flipping that same coin twice with the following results: Step forward. Step right.