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by aredbeard 2163 days ago
Hey thanks for the great questions! Happy to elaborate on anything below if it's helpful.

1/ It might be easiest to define in terms of suitability for a particular application. As you probably already know there are a number of industry tests which are useful in evaluating the effectiveness of a random number generator (Diehard, NIST, etc). Our service is built on top of industrial-grade hardware that passes these tests and is suitable for use in cryptography.

2/ Great question. It's easier to reason about in the context of specific use cases. For certain applications it increases trust to outsource RNG to a neutral third party that doesn't have a stake in the outcome.

1 comments

I'll also add that we're considering open-sourcing our implementation of raw hardware bytes => data as a way to build trust and transparency in how we're generating data.