Math behind Quality
Posted: Sun Mar 15, 2026 12:47 pm
by Tertius
Who is able to do the math behind these 2 different crafting approaches for legendary fusion power cells?
I tried but failed. I understand the math in general, but I just can't seem to put all the pieces together.
My goal was to get the approach that requires the least amount of normal input items. It also shouldn't be too big, because it's just needed for crafting 1-3 legendary portable fusion reactors. The washing approach here seems the proper one, since upcycling the reactor doesn't seem appropriate. The other legendary ingredients of the reactor can be acquired by upcycling other items much more efficiently.
So what's the math and the exact amount of input items per legendary cell? The approach on the left boosts normal cell production with maximum productivity, then washes the result with quality recyclers. The other one does quality in every machine and is much bigger for the same speed, because you cannot speed boost machines with quality modules.
I just built both approaches and counted the items, and both resulted in roughly the same input:output ratio in general. But is this real or just a result of some lucky roll for one of them?
I tried but failed. I understand the math in general, but I just can't seem to put all the pieces together.
My goal was to get the approach that requires the least amount of normal input items. It also shouldn't be too big, because it's just needed for crafting 1-3 legendary portable fusion reactors. The washing approach here seems the proper one, since upcycling the reactor doesn't seem appropriate. The other legendary ingredients of the reactor can be acquired by upcycling other items much more efficiently.
So what's the math and the exact amount of input items per legendary cell? The approach on the left boosts normal cell production with maximum productivity, then washes the result with quality recyclers. The other one does quality in every machine and is much bigger for the same speed, because you cannot speed boost machines with quality modules.
I just built both approaches and counted the items, and both resulted in roughly the same input:output ratio in general. But is this real or just a result of some lucky roll for one of them?
- 03-15-2026, 13-28-42.png (735.47 KiB) Viewed 140 times
- 03-15-2026, 13-26-06.png (1.02 MiB) Viewed 140 times
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