A checked finding · search strategy
The worst-case hunter — the smartest place to look.
If you wanted to break Goldbach, you'd ignore the spikes and hunt the numbers with the fewest pairs. Here's an equation that generates exactly those worst cases — and the chance of finding a counterexample among them, which is the best odds possible.
∏(p−1)/(p−2) hits its floor of 1 — the fewest possible pairs for their size. These sit on the very bottom edge of the comet. (The family N = 2·prime is just as low.) Hunt here and nowhere else.Verified on real powers of two (actual pair counts, then the implied fail chance):
| N = 2^k | actual pairs | fail chance |
|---|---|---|
| 2^6 | 5 | 1 in 10^2 |
| 2^7 | 3 | 1 in 10^1 |
| 2^8 | 8 | 1 in 10^3 |
| 2^9 | 11 | 1 in 10^5 |
| 2^10 | 22 | 1 in 10^10 |
| 2^11 | 25 | 1 in 10^11 |
| 2^12 | 53 | 1 in 10^23 |
| 2^13 | 76 | 1 in 10^33 |
| 2^14 | 151 | 1 in 10^66 |
| 2^15 | 244 | 1 in 10^106 |
| 2^16 | 435 | 1 in 10^189 |
| 2^17 | 749 | 1 in 10^325 |
| 2^18 | 1,314 | 1 in 10^571 |
| 2^19 | 2,367 | 1 in 10^1,028 |
| 2^20 | 4,239 | 1 in 10^1,841 |
| 2^21 | 7,471 | 1 in 10^3,245 |
N = 2^k streams worst-case even numbers; the fail chance uses the measured worst-case density ≈ 0.78·N/(lnN)² pairs, then P(fail) ≈ e^(−pairs). Drag k up: the exponent X grows without bound, so 1-in-10^X races to 1-in-10^(10^3000) by k = 10000. (Heuristic, not proof.)Why 2^k? The number of Goldbach pairs is ≈ 2C₂ · N/(lnN)² · ∏(p−1)/(p−2) over odd primes dividing N. That product is a boost that's bigger the more small factors N has — so it's smallest (equal to 1) when N has none, i.e. a power of two. Fewest pairs ⇒ highest failure chance ⇒ the best target. See the bands this creates on the comet, the growth on lucky primes, and where the whole thing stalls on the frontier.