https://www.pcg-random.org/posts/does-it-beat-the-minimal-st...
We also mix entropy in continually. Even if your sources only give you 1 bit per minute, within a few hours you'll have way too much entropy for attackers to decode anything before that window.
Plus, if you're using hashing, you can't figure out previous states from the current state.
Then on top of it people generally also use hardware RNGs built into all modern chips. On Linux I believe they don't trust it by itself but mix it with other sources.
Actually building a PRNG yourself would still be hard though!
It would be cool if modern devices had a solid state radiation detector for this purpose. Not so much because they actually need it, but anything security related often sells well, and it might let them put radiation sensing in consumer devices. I wonder how much stuff people would find!
Well, coming up with a crappy one isn't hard. Coming up with a new good one, with good efficiency is hard, though.
It would be cool if modern devices had a solid state radiation detector for this purpose.
Don't current chips already do this with noise from a diode? Quick google: Yes. There are quite a number of these sorts of methods: https://en.wikipedia.org/wiki/Hardware_random_number_generat...
Nothing is perfect, it turns out.
But it is very close to the US Fed approved HASH_DRBG, under NIST SP 800-90A, section 10.1.1 here: https://nvlpubs.nist.gov/nistpubs/SpecialPublications/NIST.S... .
The big problem with PRNG algorithms is that, imo, determining how good they are feels like a bit of a black art. You can have things that measure as having high entropy very easily that have very predictable inputs or can be easily broken. It's always been a nit of mine when trying to analyze how good a PRNG is.