
Read 30 verified reviews for Random. See ratings, business responses, and what customers really think.
random.orgDublin, US
technology-software
GuardScore is based on recency, verified reviews, and review volume.
Learn more about GuardScore**What is Random?** Random, operating as RANDOM.ORG, is a company founded in 1998 and headquartered in Dublin, Ireland. It provides true random number generation services using atmospheric noise, distinguishing it from typical pseudo-random number generators used in software. Its audience includes researchers, developers, and anyone requiring high-quality randomness for simulations or cryptographic purposes. RANDOM.ORG is recognized for delivering numbers perceived as more unpredictable than standard computational methods. **How does it work?** RANDOM.ORG collects atmospheric noise through hardware sensors, converting this physical source into random numbers accessible via its internet services. These numbers can be requested via a web interface or APIs allowing seamless integration into applications and research projects. The approach relies on natural phenomena rather than deterministic algorithms, providing randomness closer to physical true randomness. It supports a variety of use cases from lotteries and games to scientific simulations. **Products and services** The company offers APIs for generating random integers, sequences, and distributions, as well as tools for lotteries, games, and data shuffling. Users can generate random numbers directly on the website or implement API calls in their software solutions. RANDOM.ORG’s service model focuses on delivering true random values rather than pseudo-random values generated by computers. It operates primarily as a Software as a Service (SaaS) platform targeting users needing verified random data for their systems or studies.
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Learn more about GuardScoreResponse rate: 0%
A lot of users are skeptical about whether true randomness can be achieved by a computer. While some people trust that atmospheric noise is a legitimate source, others point out that all computer-generated numbers might still have some level of determinism.
Some users have had issues with reliability, especially for critical applications like cryptography or simulations. If you encounter problems, consider double-checking with other generators or contacting their support for insights.
People discuss how randomness is derived from atmospheric noise, which involves physical phenomena rather than mathematical formulas. This process is claimed to provide numbers that are less predictable compared to standard methods.
There's a mix of opinions about the trustworthiness of random.org for lotteries. Some users believe their approach is solid enough for casual use, but others suggest using additional checks for higher stakes.
Some experts and users express skepticism, citing sources like MIT that challenge the idea of true randomness from a computer. If you're on the fence, it might be worth digging into these discussions to form your own opinion.
There are varying experiences; while some users find the APIs to be effective for integration into their applications, others report intermittent issues. It's a good idea to have backups or alternative methods in case you hit a snag.