The sudden leap of this “accident” scenario indicates a new DEW Attack vector. Here’s yet another of the ‘train engine nearly falls off trestle’ ostensibly being caused by a weakening of the steel rails from an energy beam pulsed from on-high.
DEW Attack Hallmarks
No injuries (no insurance payouts; no ever-questioning families).
Unlikely if not inexplicable.
Akin to and amidst cluster of similar attacks.
Always ‘nudged’ “disaster capitalism”.
Always plausibly deniable; operative in shadows of chance, fate, and sinister intrigue.
Steel weakened, melted but never cracked or fractured.
19 Dec 2024
CN – Canadian National
Regina, Saskatchewan, Canada
Wascana Creek
General Electric ES44DC
200 ton weight
GOOGLE MAP
https://www.google.com/maps/place/50°28’10.4″N+104°41’08.3″W/@50.469546,-104.6862961,173m






Input
Normalized: 50.469546; 104.6862961; 19 Dec 2024; Canadian National; cn; Regina; Saskatchewan; Canada; Wascana Creek; General Electric; ES44DC; locomotive; trestle; derailment; freight train; tracks; railroad; railroad tracks; dew; directed energy weapons; disaster capitalism; 200 tons
Sorted: 104.6862961; 19 Dec 2024; 200 tons; 50.469546; Canada; Canadian National; cn; derailment; dew; directed energy weapons; disaster capitalism; ES44DC; freight train; General Electric; locomotive; railroad; railroad tracks; Regina; Saskatchewan; tracks; trestle; Wascana Creek
Interpretation
This post highlights where phrases collide across ciphers, where definitions overlap unexpectedly, and where number-theory motifs recur in sound vocabulary. Use the collisions to spot shared numeric signatures, and use the prime/fib/phi tags to flag structural patterns worth a closer read. Digit handling: Count digits adds 0-9 values inside mixed phrases; Spell numbers converts digit runs to words; numeric-only phrases always use digit sums. Ask ChatGPT to explain and evaluate this run.
Top 10 Collisions
- Canada (Reverse Ordinal) = 138 = railroad (Reverse Ordinal)
- Canadian National (Reverse Reduction) = 101 = derailment (Ordinal)
- trestle (Reverse Ordinal) = 90 = tracks (Reverse Ordinal)
- freight train (Reduction) = 72 = disaster capitalism (Reduction)
- freight train (Reverse Reduction) = 72 = disaster capitalism (Reduction)
- freight train (Reduction) = 72 = tracks (Ordinal)
- freight train (Reverse Reduction) = 72 = tracks (Ordinal)
- tracks (Ordinal) = 72 = disaster capitalism (Reduction)
- Canadian National (Reduction) = 61 = derailment (Reverse Reduction)
- 104.6862961 (Reverse Ordinal) = 47 = derailment (Reduction)
GEMATRIA Values (4 Primary Ciphers) https://g3m4.com/gematria?s=xy8rub
| # | Phrase | Ordinal | Reverse Ordinal | Reduction | Reverse Reduction |
|---|---|---|---|---|---|
| 1 | 104.6862961 | 43 | 47 | 43 | 43 |
| 2 | 19 Dec 2024 | 30 | 105 | 30 | 33 |
| 3 | 200 tons | 70 | 65 | 16 | 24 |
| 4 | 50.469546 | 39 | 33 | 39 | 39 |
| 5 | Canada | 24 | 138 | 15 | 39 |
| 6 | Canadian National | 133 | 299 | 61 | 101 |
| 7 | cn | 17 | 37 | 8 | 10 |
| 8 | derailment | 101 | 169 | 47 | 61 |
| 9 | dew | 32 | 49 | 14 | 13 |
| 10 | directed energy weapons | 235 | 332 | 109 | 107 |
| 11 | disaster capitalism | 198 | 288 | 72 | 126 |
| 12 | ES44DC | 39 | 87 | 21 | 31 |
| 13 | freight train | 135 | 189 | 72 | 72 |
| 14 | General Electric | 137 | 268 | 74 | 88 |
| 15 | locomotive | 129 | 141 | 48 | 51 |
| 16 | railroad | 78 | 138 | 42 | 57 |
| 17 | railroad tracks | 150 | 228 | 60 | 102 |
| 18 | Regina | 54 | 108 | 36 | 36 |
| 19 | Saskatchewan | 125 | 199 | 35 | 73 |
| 20 | tracks | 72 | 90 | 18 | 45 |
| 21 | trestle | 99 | 90 | 27 | 45 |
| 22 | Wascana Creek | 104 | 220 | 41 | 76 |
Cross-Cipher Matches (A first)
| # | A | aCipher | Value | B | bCipher |
|---|---|---|---|---|---|
| 1 | 104.6862961 | Reverse Ordinal | 47 | derailment | Reduction |
| 2 | 50.469546 | Reverse Ordinal | 33 | 19 Dec 2024 | Reverse Reduction |
| 3 | 50.469546 | Ordinal | 39 | Canada | Reverse Reduction |
| 4 | 50.469546 | Reduction | 39 | Canada | Reverse Reduction |
| 5 | 50.469546 | Reverse Reduction | 39 | Canada | Reverse Reduction |
| 6 | 50.469546 | Ordinal | 39 | ES44DC | Ordinal |
| 7 | 50.469546 | Reduction | 39 | ES44DC | Ordinal |
| 8 | 50.469546 | Reverse Reduction | 39 | ES44DC | Ordinal |
| 9 | Canada | Reverse Reduction | 39 | ES44DC | Ordinal |
| 10 | Canada | Reverse Ordinal | 138 | railroad | Reverse Ordinal |
| 11 | Canada | Ordinal | 24 | 200 tons | Reverse Reduction |
| 12 | Canadian National | Reduction | 61 | derailment | Reverse Reduction |
| 13 | Canadian National | Reverse Reduction | 101 | derailment | Ordinal |
| 14 | freight train | Reduction | 72 | tracks | Ordinal |
| 15 | freight train | Reverse Reduction | 72 | tracks | Ordinal |
| 16 | freight train | Reduction | 72 | disaster capitalism | Reduction |
| 17 | freight train | Reverse Reduction | 72 | disaster capitalism | Reduction |
| 18 | tracks | Ordinal | 72 | disaster capitalism | Reduction |
| 19 | trestle | Reverse Ordinal | 90 | tracks | Reverse Ordinal |
| 20 | trestle | Reverse Reduction | 45 | tracks | Reverse Reduction |
Cross-Cipher Matches (B first)
| # | B | bCipher | Value | A | aCipher |
|---|---|---|---|---|---|
| 1 | 19 Dec 2024 | Reverse Reduction | 33 | 50.469546 | Reverse Ordinal |
| 2 | 200 tons | Reverse Reduction | 24 | Canada | Ordinal |
| 3 | Canada | Reverse Reduction | 39 | 50.469546 | Ordinal |
| 4 | Canada | Reverse Reduction | 39 | 50.469546 | Reduction |
| 5 | Canada | Reverse Reduction | 39 | 50.469546 | Reverse Reduction |
| 6 | derailment | Reduction | 47 | 104.6862961 | Reverse Ordinal |
| 7 | derailment | Reverse Reduction | 61 | Canadian National | Reduction |
| 8 | derailment | Ordinal | 101 | Canadian National | Reverse Reduction |
| 9 | disaster capitalism | Reduction | 72 | freight train | Reduction |
| 10 | disaster capitalism | Reduction | 72 | freight train | Reverse Reduction |
| 11 | disaster capitalism | Reduction | 72 | tracks | Ordinal |
| 12 | ES44DC | Ordinal | 39 | 50.469546 | Ordinal |
| 13 | ES44DC | Ordinal | 39 | 50.469546 | Reduction |
| 14 | ES44DC | Ordinal | 39 | 50.469546 | Reverse Reduction |
| 15 | ES44DC | Ordinal | 39 | Canada | Reverse Reduction |
| 16 | railroad | Reverse Ordinal | 138 | Canada | Reverse Ordinal |
| 17 | tracks | Reverse Ordinal | 90 | trestle | Reverse Ordinal |
| 18 | tracks | Reverse Reduction | 45 | trestle | Reverse Reduction |
| 19 | tracks | Ordinal | 72 | freight train | Reduction |
| 20 | tracks | Ordinal | 72 | freight train | Reverse Reduction |
Primes, Fibo, Phi
Phi-ish? is flagged when Ordinal and Reverse Ordinal are within ~0.05 of the golden ratio (1.618).
| # | Phrase | Cipher | Value | Prime # | Fib # | Phi-ish? |
|---|---|---|---|---|---|---|
| 1 | 104.6862961 | Ordinal | 43 | 14 | ||
| 2 | 104.6862961 | Reverse Ordinal | 47 | 15 | ||
| 3 | 104.6862961 | Reduction | 43 | 14 | ||
| 4 | 104.6862961 | Reverse Reduction | 43 | 14 | ||
| 5 | Canadian National | Reduction | 61 | 18 | ||
| 6 | Canadian National | Reverse Reduction | 101 | 26 | ||
| 7 | cn | Ordinal | 17 | 7 | ||
| 8 | cn | Reverse Ordinal | 37 | 12 | ||
| 9 | cn | Reduction | 8 | 6 | ||
| 10 | derailment | Ordinal | 101 | 26 | ||
| 11 | derailment | Reduction | 47 | 15 | ||
| 12 | derailment | Reverse Reduction | 61 | 18 | ||
| 13 | dew | Reverse Reduction | 13 | 6 | 7 | |
| 14 | directed energy weapons | Reduction | 109 | 29 | ||
| 15 | directed energy weapons | Reverse Reduction | 107 | 28 | ||
| 16 | ES44DC | Reduction | 21 | 8 | ||
| 17 | ES44DC | Reverse Reduction | 31 | 11 | ||
| 18 | General Electric | Ordinal | 137 | 33 | ||
| 19 | Saskatchewan | Ordinal | 125 | ≈φ | ||
| 20 | Saskatchewan | Reverse Ordinal | 199 | 46 | ||
| 21 | Saskatchewan | Reverse Reduction | 73 | 21 | ||
| 22 | Wascana Creek | Reduction | 41 | 13 |
Esoterica
| # | Phrase | Cipher | Value | Ask |
|---|---|---|---|---|
| 1 | 19 Dec 2024 | Reverse Reduction (masonic) | 33 | Ask ChatGPT |
| 2 | 50.469546 | Reverse Ordinal (masonic) | 33 | Ask ChatGPT |
| 3 | cn | Reverse Reduction (tetractys) | 10 | Ask ChatGPT |
| 4 | dew | Reverse Reduction (13) | 13 | Ask ChatGPT |
| 5 | disaster capitalism | Reduction (72-names) | 72 | Ask ChatGPT |
| 6 | freight train | Reduction (72-names) | 72 | Ask ChatGPT |
| 7 | freight train | Reverse Reduction (72-names) | 72 | Ask ChatGPT |
| 8 | railroad | Reduction (esoteric-42) | 42 | Ask ChatGPT |
| 9 | Regina | Ordinal (3x3x3x2) | 54 | Ask ChatGPT |
| 10 | Regina | Reverse Ordinal (vedic) | 108 | Ask ChatGPT |
| 11 | Regina | Reduction (square-6) | 36 | Ask ChatGPT |
| 12 | Regina | Reverse Reduction (square-6) | 36 | Ask ChatGPT |
| 13 | tracks | Ordinal (72-names) | 72 | Ask ChatGPT |
Graphs (quick pattern scan)
Ordinal value spread
Histogram of Ordinal values (bin size 25). Peaks show common numeric weight.
Digital root distribution
Counts of digital roots (0–9) across all four ciphers. Shows residue bias.
Collision hotspots
Top repeated collision values across cross‑cipher matches.
Average value per cipher
Mean magnitude per primary cipher to show scale bias.
Notes on Mathematique Tags
- Digital roots / casting out nines: reduced digit-sum per cipher; highlights multiples of 3 or 9. Explain
- Polygonal numbers: detects triangular, square, pentagonal, and hexagonal membership with sequence indices. Explain
- Perfect / abundant / deficient: classifies by sum of proper divisors; includes σ (divisor sum) and τ (divisor count). Explain
- Prime factorization & divisor stats: factors with Ω/ω (total vs distinct primes), τ(n), and σ(n). Explain
- Modular residues: reports n mod 7/9/11/26 to surface cycles and ROT-like overlaps. Explain
- Palindromic / repdigit motifs: checks decimal, binary, and hex palindromes/repdigits; flags powers of two. Explain
- Highly composite: flags numbers that set divisor-count records (high τ). Explain
- Fibonacci / Lucas: marks membership in the Fibonacci or Lucas sequences (index shown). Explain
- Catalan / Bell / partitions: marks membership in common combinatorial sequences. Explain
- Prime constellations & gaps: shows twin-prime proximity and nearest prime gaps for non-primes. Explain