How Do Randomizers Work?
Through years of research, scientists have discovered that it is near impossible for humans to be entirely and impartially random. No matter how hard we try, we will inevitably fall into a pattern of sorts, and the randomness of what we are doing ends.
Everything from encryption to online bingo uses a randomizer of some kind. Therefore, we need the help of computers and software to make random choices for us. Read on to find out what a randomizer is, what it does, how we use it every day, and any tips for bingo gamers.
What is a Random Number Generator?
A random number generator is exactly what it says on the can. It is a piece of hardware or software that picks numbers, at complete random, from an infinite set. You can also limit the numbers chosen, as in just choosing from the set of 1-10.
The technology is fairly simple, and it is purely designed to make the process of being random as autonomous as possible, with zero interference from a human, as this could skew the results.
Pseudo-Random Number Generation
There are two kinds of random number generation, pseudo generation, and true generation. Pseudo generation is not technically random as it is often software-based and relies on a user inputting a minimum and maximum value for the computer to choose from.
This type of generation is often used for simple tasks like a lucky draw or lottery of some kind and games mentioned earlier like bingo. Pseudo generation isn’t used for something more complex like encryption, as it would be very easy to figure out.
True Random Number Generation
True generation is a process that takes in everything from atmospheric pressure to the results of a coin. There are no limits to the numbers that can be generated, and if they are, they are usually enormous, something like picking a number between 1 and 100 trillion.
These types of generators are most commonly used in seed generation. If you have a crypto wallet, you will be familiar with a seed number. In short, it is a random number that is assigned to your wallet as a form of identification.
Common Uses
As mentioned already, random number generation is used in cryptography to make something as secure as possible. While the numbers being random is essential, ensuring they are in a random order is equally as important.
A password that reads 25 09 93 46 looks random enough unless you figure out 25 and 09 and realize it could be a birth date. Then hackers can start making assumptions about the other numbers and what order they could be in.
RNG is particularly important in video games. Loot chests in games are common, and one chest can be assigned loot at any point. Assets like loot, weapons, and enemies are, in basic terms, assigned a number.
This loot changes every game and player because RNG assigns the numbers (loot, weapons, etc.) to different chests each time. You’ll often hear streamers and other gamers talk about the “RNG Gods” helping them out.
The biggest problem that people have with RNG in gaming is that it is both necessary and can also be a killer. RNG can be dumbed-down to two people digging for gold; there is a chance that one person can find it after two or three digs, and the other can dig for weeks and find nothing.
This is why gamers hate it; it can undermine any skill or gaming superiority you may have. How many times have you dropped into a game of Warzone, and the only weapons you find are pistols, but every enemy you come across has a modded-out, high-level rifle?
RNG is necessary to ensure the game stays fresh and the in-game events remain random. Imagine the same eight chests in Fortnite always having the same OP guns? The games would be pointless.
In research and science, statistical analysis and theory depend on numbers’ randomness. If the numbers aren’t actually random, you will end up with an unavoidable bias that will leave the study moot.
RNG is an incredibly useful piece of tech that allows for controlled or complete randomness. It is something that humans struggle to do, therefore essential for everything from gaming to statistical studies.