This is entirely, unequivocally false.
Shuffling as an algorithm to implement is easy to fuck up, but if you use a good one and a true RNG source, computers can shuffle better than humans - just as randomly, and many orders of magnitude faster.
This is entirely, unequivocally false.
Shuffling as an algorithm to implement is easy to fuck up, but if you use a good one and a true RNG source, computers can shuffle better than humans - just as randomly, and many orders of magnitude faster.
Also, I'm keen to see what shuffle algorithms you know of that aren't susceptible to RNG issues
That would certainly be a good thing to check before using Go's shuffle for real-money poker games. I wouldn't take it for granted.
> Also, I'm keen to see what shuffle algorithms you know of that aren't susceptible to RNG issues
There are not and cannot be any such algorithms. That's the entire point of this thread. Fisher-Yates is necessary but not sufficient. You either have sufficient random bits for your shuffle or not.