[OT] Generating distribution of N dice rolls

[Ali Çehreli]

On 11/10/22 13:45, Siarhei Siamashka wrote:

 > (your implementation has a significantly
 > higher variance)

Agreed. I didn't think the following "random" values would magically be 
correct. :)

     // Larger this value, closer the results to normal distribution
     enum normalDistributianness = 1000;

     // Window around the average of values to pick randomly within
     const halfWindow = average / 2;

I was half joking anyway but the values 4_000 and 'average / 20', 
respectively produce closer values:

[16663617, 16663620, 16662052, 16671587, 16663818, 16675306]

 > . And for comparison, a [Python/SciPy
 > 
implementation](https://github.com/scipy/scipy/issues/17388#issuecomment-1310913940) 
outputs:
 >
 >      [16664115, 16666144, 16677962, 16660692, 16663181, 16667906]

But I am still half joking. :)

Ali