A million random digits with 100,000 normal deviates
了解 Rand Corporation 的《A million random digits with 100,000 normal deviates》（A million random digits with 100,000 normal deviates）：2007-02-22–2026-11-01 的 Hacker News 数据中有 4 次提及、4 位讨论者。阅读原文摘录、比较不同观点，将它加入你的书单。
分享到 X社区里的声音
最近 4 条来源记录提及不等于推荐。标签来自源数据的自动分类；请打开原始讨论核对上下文。
此记录保留了作者、时间和来源链接，请打开 HN 阅读完整上下文。
在 Hacker News 阅读原文此记录保留了作者、时间和来源链接，请打开 HN 阅读完整上下文。
在 Hacker News 阅读原文此记录保留了作者、时间和来源链接，请打开 HN 阅读完整上下文。
在 Hacker News 阅读原文…uld like to answer it. There is an authoritative source of random numbers. In 1955, The RAND Corporation (a Cold War-era think tank) published a wonderful book entitled "A Million Random Digits with 100,000 Normal Deviates". Amazon.com has a copy of it, including some amusing reviews: http://www.amazon.com/Million-Random-Digits-Normal-Deviates/... . For a good source of truly random numbers accessible from an API, I personally use http://random.org . They use atmospheric noise to create random numbers, which ultimately boils down to the true randomness that is Quantum Mechanics. It's not suitable for high-security applications -- I could do some network trickery and redirect your API request to my server that always returns 1.0 -- but it's better than the PRNGs on modern computers.
在 Hacker News 阅读原文