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The Importance of Decentralized Randomness in Fair Games

dash News • Oct 21, 04:17

In the world of games, decentralized randomness plays a vital role in ensuring fairness. It’s not enough for a game to simply have random elements, but those elements must also be decentralized, secure against tampering, and truly random. This concept of decentralized randomness extends beyond just games, as it applies to security systems, DAO governance, and NFT generation as well. Without access to true randomness, these systems cannot operate effectively. While many random number generators (RNGs) used in these systems are pseudo RNGs that provide the appearance of randomness, they lack the necessary qualities for guaranteeing fairness and trust. This article explores the importance of decentralized randomness and the implications it has on the metaverse and various systems that rely on random values.



The Importance of Decentralized Randomness in Fair Games


In the world of gaming, fairness is of utmost importance. Players want to feel confident that the outcome of a game is determined by chance and not influenced by external factors. Randomness plays a crucial role in achieving this fairness, and the use of random numbers is a common practice in game mechanics. However, not all random number generation methods are created equal. In this article, we will explore the importance of decentralized randomness in fair games and why it is essential for developers to carefully consider the type of random number generator (RNG) they use.


The Role of Random Numbers

Random numbers are at the core of various applications, including games, security systems, decentralized autonomous organization (DAO) governance, and non-fungible token (NFT) generation. In the context of games, random numbers are used to introduce unpredictability and variety, ensuring that each playthrough is unique and exciting. Randomness adds an element of surprise and challenge, keeping players engaged and offering a more immersive experience.


Pseudo RNGs vs True RNGs

When it comes to generating random numbers, two main types of RNGs are commonly used: Pseudo Random Number Generators (PRNGs) and True Random Number Generators (TRNGs). PRNGs rely on algorithms to produce seemingly random outputs based on a fixed equation. While they may appear random to an observer, the generated numbers follow a predetermined sequence. On the other hand, TRNGs harness natural and unpredictable physical processes, such as atmospheric noise or radioactive decay, to generate truly random numbers.


Issues with Pseudo RNGs

PRNGs have been widely used in various applications due to their efficiency and ease of implementation. However, they have inherent limitations that can compromise fairness and security. Some PRNGs suffer from short repetition periods, meaning that the sequence of numbers they generate can repeat after a relatively short period of time. This predictability can be exploited by malicious actors, leading to biased outcomes and unfair gameplay. Additionally, PRNGs can be influenced or tampered with by external factors, further compromising the integrity of the random numbers generated. These issues make PRNGs less suitable for applications with higher stakes or those that require a higher level of randomness and security.


Centralized Randomness vs Decentralized Randomness

Another important consideration when selecting an RNG is whether it relies on centralized or decentralized randomness. Centralized RNGs are typically operated by a single entity, introducing a single point of failure and making the system vulnerable to manipulation or tampering. In contrast, decentralized RNGs distribute the generation of random numbers across multiple participants or nodes, ensuring a higher level of trust and reliability. Decentralized randomness reduces the risk of malicious actors manipulating the outcomes and provides a more transparent and trustworthy gaming experience.


The Impact of Technical Failures

Technical failures can have severe consequences in gaming applications. The collapse of Axie Infinity due to a security breach serves as a stark reminder of the importance of reliable and secure RNGs. A technical failure, whether it be a vulnerability in the algorithm or a centralized system, can lead to compromised gameplay, loss of user trust, and even financial losses. By leveraging decentralized randomness, developers can mitigate the risks associated with technical failures and ensure the continuity and reliability of their games.


Criteria for Selecting an RNG

When selecting an RNG for a game or application, several key criteria should be considered. First and foremost, the RNG should provide sufficient randomness to ensure unpredictable outcomes. It should also allow for the verification of outputs, ensuring that the generated numbers are indeed random and have not been tampered with. Security is another critical factor, as the RNG should be resistant to tampering and manipulation. Finally, decentralization should be prioritized to avoid single points of failure and enhance trust in the system.


The Quest for the Perfect RNG

Developers are continuously striving to improve RNG technology and develop the perfect RNG. Ideally, the perfect RNG would be unpredictable, tamper-resistant, verifiable, decentralized, and continuously available. Achieving this ideal is no easy feat, as each aspect presents unique challenges and trade-offs. However, through advancements in cryptography, distributed systems, and blockchain technology, developers are making significant progress towards unlocking the full potential of decentralized randomness.


The Need for Support in Blockchain Applications

Blockchain technology has introduced new possibilities for decentralized randomness, particularly through the use of smart contracts and distributed consensus mechanisms. However, implementing and ensuring the reliability of decentralized RNGs in blockchain applications can still be complex. Developers need support and robust solutions that provide them with the tools and infrastructure necessary to incorporate decentralized randomness seamlessly into their applications. By addressing these needs, developers can create fair and trustless gaming experiences that resonate with players.



In conclusion, the importance of decentralized randomness in fair games cannot be overstated. Randomness adds excitement and unpredictability to gameplay, enhancing the overall gaming experience. However, not all RNGs are created equal, and developers must carefully evaluate their options to ensure the fairness, security, and reliability of their games. By leveraging decentralized randomness and embracing advancements in technology, developers can create a new generation of fair and immersive games that captivate players around the world.