Alex wrote: Tue Mar 17, 2026 11:10 pm
Here is the summary of what Grok say about this:
Alex's raw data (the 13,847 pair count) is cool and shows these triple-triangle integrations really are uncommon in the full combinatorial space—props for doing the exhaustive check. But the final "1 in 31.8 billion" figure is classic overstated Bible-numerology odds. It looks impressive but doesn't survive basic statistical scrutiny because of selection bias and multiple testing. It's confirmatory for someone already convinced of hidden patterns, but it isn't evidence of intentional design any more than finding a rare word combination in Shakespeare after searching every possible pair.
If the program/code and exact definitions of "integration" and the triangular checks were shared, it would be even easier to verify or extend (e.g., how many hits for other shapes like squares?). But as presented, it's a good example of why raw rarity numbers in gematria studies need heavy caveats. The preceding post in the thread was right to suggest getting an AI (or statistician) to review it!
I have to remind readers that the word "proof" is very academically loaded word. They require a lot from you before you can call something proof.
I have simply showed the chance of getting these Triangles using the Bible itself as a source. That does not count as imperical proof, but the chance shows us that this has to be design in my opinion. Let me remind you that the academic communty and science community has mostly been against God, and I believe they have loaded the word "proof" with a lot of requirements just to make it hard for people to prove anything regarding the Bible.
When Ivan Panin presented his work, no one really tried to attack him from the academic community at that time as far as I know.
But I guess the academic community decided to never let another Bible codes prove anything again. And they have succeeded when you look at what Grok says here.
Alex,
Grok has explained you error the same way I have. You are not doing the stats correctly. It has absolutely NOTHING to do with any bias on the part of academia. It's basic math.
Now it's true that most people in academia are strongly biased to reject numerology, but there's a very good reason for that. The history of numerology is exemplified by your work which is a textbook example of
CHERRY PICKING. Forget the example of three triangles in G1:1/J1:1. That's a tiny drop in the ocean of cherry picked "connections between random numbers that you buried it under. You even connect the statistical estimates (like 31.8 million) with the date you found that fallacious number! Any competent mathematician will immediately recognized your work as self-evidently absurd.
Here's a detailed explanation of your primary error from Grok.
It says the probability of you finding such patterns by random chance is about 100%! This is what I've been trying to tell you. Using your methods, you can connect anything to anything with near 100% probability. This is why your "codes" are utterly meaningless.
GROK SAYS: The probability of Alex's 3766 pattern (and the chain of equalities it belongs to) occurring purely by chance cannot be calculated naïvely (e.g., “the odds of four random numbers summing to exactly 629 is 1 in millions” or “1 in 3766 that two big numbers match”).
Such naïve figures are statistically worthless because they ignore the extreme flexibility and post-hoc selection built into Alex’s own system. He only publishes the configurations that work; he does not report the vastly larger number that do not. This is the classic “researcher degrees of freedom” / multiple-testing / data-dredging problem that invalidated many early Bible-code claims in the peer-reviewed literature (see the 1994 Torah-codes paper and its Statistical Science rebuttals by McKay et al.).
A **rigorous** probability (or p-value) must follow the same standards statisticians applied to those Bible-code controversies: either an **a-priori-defined Monte Carlo simulation** that fully models Alex’s search process, or a careful analytical estimate of the effective search-space size. Below is the exact protocol one would use.
### 1. Fix the search space in advance (a-priori protocol)
Using only the rules published on Alex’s own site (
https://777codes.com/index.php/introduc ... -gematria/) and the forum post itself, enumerate every allowed choice **before** looking at any numbers:
- **Gematria variants** (≥15 documented): standard, ordinal, reduced, reverse standard (rs), reverse ordinal, reverse reduced, full reduced (Fr), full ordinal (Fo), full standard (Fs), soft variants, starter (sr), and explicit combinations such as (o+s) — the exact method used for the four constants. Each can be applied to English, Greek, or Hebrew spellings.
- **Spellings of constants** (dozens of options per constant): English “alpha” / “pi” / “e” / “phi”, Greek full Αλφα / Πι / Φι, symbol-only, full phrase (“fine structure constant”), digit strings turned into text, etc.
- **Number and identity of constants** (hundreds of combinations): exactly these four (α, e, π, φ) or any 3–5 from the dozens of well-known constants (γ, τ, √2, etc.).
- **Polygonal parameters**: n (the index) from 3 to 100 (or higher);
- **Bible-side structural methods** (≥50 documented): CW (center word(s) — add if two), TV (total value), FLW, FLCW, CL + CW, 3/4 CW, verses-by-rotation, happy numbers, digit-extension, +1 method, 0-removed, merging, etc. Plus the exact rule for “&” (concatenate the two verses? sum their separate CWs? special composite?).
- **Gematria on the Bible text**: Eng rs (the one used here), or any of the other 15+ variants, applied to any verse pair (not just Gen 1:1 & John 1:1).
- **Extra layers** in the actual post (verse-order matching decimal digits of the constants, 777-digit additions, happy-number wrappers, etc.).
Even a conservative lower-bound estimate of the total configurations S is 10⁵–10⁷ (e.g., 15 gematria types × 20 constant combos × 30 n values × 40 Bible structures × 50 verse-pair choices). The forum thread and Alex’s site contain hundreds of published patterns, so one must also multiply by the number of independent tests he performed.
### 2. Define the null hypothesis and the test statistic
Null: the two sides (math/constants side and Bible side) are completely independent; any apparent equality is random coincidence.
Test statistic: whether the final number produced on the math side (after applying the chosen gematria to the constants → s → polygonal(n,s)) exactly equals the number produced on the Bible side for that same configuration.
### 3. The gold-standard method: Monte Carlo simulation
This is the method actually used to debunk overstated Bible-code probabilities.
**Procedure** (implementable in Python/R with Alex’s exact letter-value tables from the glossary):
- Repeat N = 10⁶–10⁸ times (large enough for precision):
- Randomly sample one full configuration from the search space above (uniformly, or weighted by how often Alex uses each method if known).
- Compute the Bible-side number T exactly as Alex’s rules allow (using real KJV text but the randomly chosen structure/variant).
- Independently compute the math-side number: apply the randomly chosen gematria/spelling to the randomly chosen constants → get s → compute P(s,n).
- Record a “match” if the two final integers are identical (and, for extra strictness, if the whole chain of further equalities in the post also holds).
- Empirical p-value = (number of matches + 1) / (N + 1).
This automatically gives the correct probability that a pattern “as impressive as 3766” would appear by chance when searching exactly the way Alex searches. It handles all dependencies (non-uniform distributions of gematria sums, the linear 6s−8 shortcut for n=4, the exact range of CW values in reverse-standard English, etc.).
### 4. Analytical approximation (when full simulation is impractical)
If one cannot code the entire system, a rough but defensible order-of-magnitude estimate is:
p = S/R
where:
- S = size of search space (as above, ≥10⁵),
- R = number of distinct possible output values the final number can take (typically 1 000–10 000 for these codes; CW sums in rs-English for short verse combinations rarely exceed a few thousand, and polygonal values for small n cluster in the same range).
Even with the most generous assumptions (S = 10⁴, R = 5 000), the adjusted probability is already ~1–10 % — nowhere near the “astronomically small” claim implied by the raw match.
Once one includes the hundreds of other patterns Alex has published in the same thread, the probability of finding “something this good somewhere” approaches 1 (i.e., expected under pure chance).
### 5. Additional corrections that must be applied
- **Post-hoc flexibility**: The post itself does not show the raw calculations that produced the individual 2 + 10 + 96 + 521 = 629 values; those were also chosen to fit. The simulation must therefore allow the same freedom for the constant gematria step.
- **Multiple patterns in one post**: The 3766 line is only the first of six chained equalities. The joint probability of all six matching simultaneously must be computed.
- **Selection of verses and constants**: Gen 1:1 & John 1:1 and the four physics constants are famous; one must include the fact that Alex could have picked any other pair of “beginning” verses or any other quartet of constants.
- **Published output**: Alex has an entire website and forum thread full of similar codes. The relevant p-value is the probability of finding at least one 3766-level hit anywhere in his published work.
### Practical conclusion
Without Alex publishing the complete list of every configuration he tried (and failed) before posting this one, the most accurate statement possible is: “When the full flexibility documented in his own glossary is modelled via Monte Carlo, the probability is on the order of several percent to near-certainty — exactly as statisticians found for earlier Bible-code claims that initially looked miraculous.” The pattern is impressive craftsmanship within a very large search space, but it does not survive a properly adjusted probability calculation.
If one wanted an exact numerical p-value, the next step would be to implement the Monte Carlo in code using the precise letter-value tables and abbreviation rules from
https://777codes.com/index.php/introduc ... -gematria/ and the forum post itself. That is the only method accepted in the statistical literature for claims of this type.