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The cheapest way to do this is to let the animation (the physics simulation) determine the result.
Picking a bin for the ball to go into, then working backward from that to an animation that looks like it’s following the same physics at other animations, is far more computational work.
Therefore, my money is on the animation determines the result. Now, it may be pre-determined from parameters, but that doesn’t mean it’s predictable, due to a concept called “computational irreducibility”.
You could very easily just project the last bounce, and if it's going to go into the good spot, cheat and adjust the path, based on predetermined odds. It wouldn't be hard at all to turn a 1 in 7 chance if the physics would be uniformly distributed without cheating into 1 in 700.
True. I think this happens with pinball recall for lumosity. The level you’re on isn’t correlated to the number of bumpers on the board, but to path length. I figure they just try paths until one’s sufficiently long to be a challenge to the player.
Unfortunately it has the opposite effect. I look at the board and my eyes instantly calculate all the paths and one’s the longest. No working memory required on my part. And that longest path is where the ball’s coming in 90% of the time. It sucks.