Fellow puzzle solvers,
I've been analyzing Bitcoin puzzles using advanced mathematical frameworks and have discovered something interesting about P71 that I'd like the community's thoughts on.
**Mathematical Observation:**
After analyzing the solved puzzle history (P1-P64, plus P66-70), I've identified a recurring mathematical relationship that appears in 76.5% of solutions. This pattern seems to follow established mathematical principles that are already proven successful in Bitcoin market analysis.
**P71 Prediction Zone:**
Based on this mathematical framework, I'm focusing my search efforts in a specific zone of the P71 key space that represents approximately 0.1-1% of the total range, rather than random searching.
**The Interesting Part:**
The same mathematical constant (φ ≈ 1.618) that Philip Swift uses for Bitcoin market cycle prediction also appears to predict solution locations in Bitcoin puzzles. This isn't coincidence - it's mathematical universality.
**Community Question:**
Has anyone else noticed mathematical patterns across solved puzzles? Specifically, has anyone looked at solution positions as percentages of their ranges?
I'm happy to share more details about the methodology if there's genuine interest, but I wanted to gauge the community's thoughts on mathematical vs. brute-force approaches first.
Thoughts?
I already scan lots of dataset lots of prefix in different position... The thing that might be possible is from sha to h160 to predict back to sha.. use several frequency and pattern etc... if you try directly from private key data set to observe the h160 seems like 99% random 😔.. yes there somekind of bias , but the bias itself seems bit random 🙃🙃
But myself still try to find somekind of unintentional connection or frequncy cluster or antipattern based on quantilion of hash result its more like hobby now 😅.......