Bad idea...
Your sample size is wayyyyyyy to small.
....yes
Not a TRNG....
Great question!
I too chase the random number dragon, shes a hard one to catch. If you care at all about the quality of random numbers, never use a PRNG, they are however good for testing things (or for stretching your TRNG numbers). You essentially have the ability to generate the same super large set of numbers every time the program is run. Maybe use it to test a compression algorithm, idk sky's the limit.
TRNG are typically valued in the security sector, IE cryptography, lottery numbers, security tokens, password hashing, nuclear launch codes.
Yes, and no, the bit-rate is too slow.
I'm gonna dump a bunch of links, resources are your friend, enjoy the reading material.
https://www.fourmilab.ch/random/
https://sites.google.com/site/astudyofentropy/background-information/whitening
https://www.random.org/randomness/
- hotbits links -
https://www.fourmilab.ch/hotbits/
https://www.fourmilab.ch/hotbits/how3.html
https://www.fourmilab.ch/hotbits/statistical_testing/stattest.html
- hotbits end -
https://en.wikipedia.org/wiki/Linear-feedback_shift_register
https://en.wikipedia.org/wiki/Mersenne_Twister
http://www.cplusplus.com/reference/random/mt19937/
https://cryptography.fandom.com/wiki/Linear_feedback_shift_register
https://blog.cloudflare.com/ensuring-randomness-with-linuxs-random-number-generator/
https://hackaday.com/2017/11/02/what-is-entropy-and-how-do-i-get-more-of-it/
https://www.crowdsupply.com/13-37/infinite-noise-trng
http://holdenc.altervista.org/avalanche/
https://www.maximintegrated.com/en/design/technical-documents/app-notes/4/4527.html