This is a spinoff of the economy thread to talk about RNG tactics in games in a general form.
Here’s the premise. RNG is evenly distributed on aggregate. On an individual level this means that while almost everyone falls into a reasonable range in the middle, there are outliers on each side of the distribution that are either highly rewarded or not rewarded at all. These individuals become sample cases and spotlights for experiences that maybe shouldn’t exist.
We do need to be very careful about ideas that flatten the experience entirely as that quickly becomes not fun at all.
There are two concepts that have been discussed in the other thread that I’ll briefly summarize.
1. Use a specifically non-random NG. The NRNG functions similarly to a RNG, but has characteristics that either squish the distribution so that outliers exist much less or specifically manipulate a player’s experience for loot in a more complicated way that makes it feel rewarding.
2. Implement measures that counteract low-end outlier behavior inside of game design. This would be a system that is something like: If player hasn’t received a rare drop in X time send them Y tickets for random drops.
2.5: “Add secondary reward mechanisms (ie. token based system) alongside the primary RNG system; allow progress to be made even when you don’t get the result you want.”
Obviously these are hyper-simplified descriptions, but I don’t want this to get too long.
edit: added 2.5
