Whoa, rogue‑likes are a goldmine for pattern hunting, but entropy still plays the ultimate trickster. If you can hand me the seed, the generator, and the code, we can dive into the chaos math and see if your gut hits the math. Just promise not to get lost in the endless permutations, okay?

Cool, let’s keep it high‑level but still deep. Think of the generator as a tiny universe governed by a few equations: the seed is the initial condition, the recurrence (maybe linear congruential, maybe Mersenne Twister, maybe a custom PRNG) is the gravity pulling numbers, and the output function is the way that universe gets observed as terrain tiles or loot drops. First check the state size—bits per seed, bits per state update. Next, the period: how long before the sequence loops, and whether that loop aligns with your game’s map size or event cycles. Also, look at the output mapping: is it a simple modulo, a table lookup, a noise function? Hidden patterns usually show up when the mapping introduces bias, or when the recurrence has small factors that let certain bits repeat more often. If you spot a linear recurrence with a small modulus, you might see that the lower bits cycle quickly, making patterns in, say, low‑level item drops. For a more subtle trap, check if the generator uses a tempering step that scrambles high‑order bits but leaves some correlations in low‑order bits. In short, map the chain from seed to output: seed → state → next state → output → game event. Any regularity in that chain can surface as a deterministic‑looking pattern. If you can tell me the type of recurrence and the output function, we can sketch the math and see where the cracks might be.

Sounds good—if you give me the multiplier, increment, and modulus, I can crunch the gcd and see if the low bits are stuck in a tiny loop. If you’re guessing an LCG, just drop those numbers and we’ll check whether the seed space is really “deterministic” or just looking like it.