There is a very good chance you have come across the term provably fair when you played in a Bitcoin casino before. In its simpler terms, players understand it as a feature that prevents cheating. Some of them, however, are still in the dark as to how the feature works or if it is working at all in any of the Bitcoin games they played in.
Basics of a provably fair game
Online casinos rely on a random number generator (RNG) to decide on the outcome of the game. The obvious games that use this are dice games, roulette, and keno. Bitcoin slots and table games also uses RNG to decide on what symbols should appear on the reel and whether a player is going to get an ace card.
Since every online game uses a form of RNG, some players are doubtful of some game results. There is no way for you to see the RNG process working behind the online game you are playing. How would you know if the number picked or the results yielded by the program are real or not? This is where the provably fair feature comes in. The feature makes the RNG of a game more transparent to the players.
How provably fair works
The provably fair feature is an algorithm that uses two seeds generated by the casino’s side and the player’s side. These seeds create a number. When you are able to see the number formed by the seed from both sides, you’ll know the result of the games is authentic.
How provably fair makes games transparent
Of course, this creates a problem in the casino side. If you can see the seed on their side and you have the freedom to create your own, you can manipulate the game yourself. To prevent anyone from doing this, the seed for the next round is turned into a hash, which is a series of numbers and letters. Once the round is over, the game shows the seed it used. Players can now convert the seed to hash to see if it matches with the one they saw before the round began. This is how you can see the results are randomly generated.
When you are able to get past the difficult terms or the use of a long series of code, you’ll be surprised to see how the provably fair feature is easy to understand.