Fisher-Yates Shuffle Debate
Discussions center on the proper implementation of random shuffling algorithms like Fisher-Yates, critiquing biased or insufficiently random methods in software features such as lists, tests, or playlists. Commenters debate the importance of true randomness, potential loss of entropy, and alternatives like seeded shuffles.
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You can randomly not randomise it :)
It might work, but you lose some randomness by doing this. You'd need to check the statistics carefully.
Randomization is a good idea. Give everyone a fair change kind of thing maybe? reply
I wish they had a setting to go back to the Fischer-Yates shuffle.
You can't shuffle and end up with less random output.
You don't need to make it less random to achieve that. A 100% random shuffle won't have that issue, you just have to make sure it's actually a shuffle and not something else.
Oh shit, youre right. Thanks for that. I think I saw that method but didnt realize it is implicitly random (like an idiot)
That might get them to rely on the randomization, though :)
To be fair it's still random from the user perspective.
Is there a practical reason that they are randomized?