The Voynich Ninja - The Slop Bucket

15th-Century Multimedia Production Ledger?

Mon, 22 Jun 2026 03:09:50 +0000

Is the Voynich Manuscript a 15th-Century Multimedia Production Ledger?
Hello everyone,
I wanted to share a structural hypothesis regarding the text layout and illustrations, specifically looking at the manuscript not as encoded prose, but as a Master Production Ledger for a 15th-century multimedia theatrical performance (a Renaissance Spettacolo or Mystery Play).
Because the text violates standard linguistic practices and features hyper-repetitive word chains, I believe we are looking at a polyphonic musical score and vocal canon layout rather than spoken sentences.

Here is the structural framework of the hypothesis:
The Vocal Script & Backup Cues (Folio 1r): The text behaves like a multipart vocal score. The large "pi-like" characters and distinct "gallows" symbols at the margins function as signum perfectionis (canon cues) or backing vocal indicators. They mark the exact beat where backup singers or a secondary choir layer into a horizontal round.
The Positional Paradox: The strict rules governing where letters can appear (such as the "figure-8" and "number-2" shapes) may represent consonant closures or phonetic articulation cues designed to align different voices holding long, polyphonic vowel sounds.
The Circular Rotas as Stationary Stage Directions: The circular diagrams act as medieval rotae (perpetual canons). The single subject drawn in the dead center is not a cosmological map, but a visual representation of the stationary set piece or mansion where that specific movement takes place.
The 9-Rosettes Folio is a Venue Cue-Sheet: The 6-panel foldout maps out a grand finale utilizing an entire Italian castle courtyard complex. The surrounding circles track a cascading timeline of Renaissance stage illusions (water features, flash-powder fire effects, and reflected mirror starlight), culminating in a strategic acoustic layout where backup choirs perform from the towers, forcing acoustic resonance down into the central courtyard.

How to Test This (Calling all Programmers):
To test this mathematically, we need to bypass standard alphabet decoding and treat the text as an audio grid. I am looking for anyone interested in writing a script to analyze the repetitive phrases (like triple-repeating words) by stacking the text blocks over themselves at varied word-offsets.
If we map the characters to a 15th-century microtonal scale (such as an Arabic Maqam or a Byzantine/Old Russian Znamenny framework) and offset the lines like a musical round, do the overlapping vertical columns yield statistically significant harmonic intervals rather than dissonance?
I'm just a fresh set of eyes looking at the visual pacing of the document. I would love to hear your thoughts on the structural viability of this performance-led approach!

A Hypothesis: The Voynich Manuscript as a Physician's Knowledge Database

Wed, 03 Jun 2026 08:57:14 +0000

I am not proposing a translation. Instead, I would like to discuss a possible framework for interpreting the relationship between the illustrations and the text.

I've been studying the Voynich Manuscript and a possible interpretation came to mind.
What if the manuscript was created by a physician, herbalist, or early medical practitioner who was not writing continuous prose, but rather recording recipes, treatments, ingredients, quantities, and procedures in a structured system?
In the herbal section, the plants may not represent actual botanical species. Instead, they could represent ingredients used in remedies, medicines, ointments, or preparations intended to treat specific conditions. The unusual composite plants could therefore be visual summaries of the ingredients involved in a treatment rather than illustrations of real plants.
Under this hypothesis, the accompanying text would not necessarily be normal language. It could function more like a catalog or database entry, recording information such as:

the condition being treated,
ingredients used,
quantities or proportions,
preparation methods,
application instructions,
expected effects.

One observation that led me to this idea is the frequent occurrence of similar word families throughout the manuscript. Rather than representing different words in a spoken language, they might represent categories, modifiers, quantities, or variations of the same ingredient or procedure.
The later sections of the manuscript may then describe processes rather than objects. The famous pages with women, pipes, and flowing liquids could represent bodily systems, medical conditions, treatments, or physiological processes. The diagrams may illustrate how a condition develops and how a remedy affects the body.
I also wonder whether the colors themselves carry information. For example, green could indicate a problematic condition, imbalance, or disease state, while blue could represent treatment, transformation, recovery, or a medicinal substance. This is only speculation, but the consistent use of color throughout different sections of the manuscript makes me curious whether it serves a functional purpose rather than being purely decorative.
In this interpretation, the manuscript would not be a conventional book meant to be read from beginning to end. Instead, it would be a structured medical reference system—a physician's private catalog of knowledge, treatments, classifications, and observations.
I am not claiming that this explains the manuscript, but I would be interested to know whether anyone has explored a similar hypothesis, especially regarding the relationship between the illustrations, recurring word families, and possible medical categorization.

Decipherment Attempt: A ~1425 Alchemical Manual in Latin Scribal Shorthand

Thu, 21 May 2026 17:22:52 +0000

Hey everyone, what's the happyhaps?
I'm new here, the only other post I made was an introduction post. I'm not an academic, no affiliation with anywhere. I am an IELTS and TEFL certified ESL teacher living abroad (abroad being not my home country lmao).
I don't like mysteries. They confuse and frighten me. A door that never opens is just a wall, and a wall where a door should be is useless. To me, the Voynich Manuscript was a door where a wall should be.
The framework I developed and I are proposing that the Voynich Manuscript is a highly detailed alchemical workbook written in an idiosyncratic scribal shorthand Latin produced by a northern Italian alchemist around 1425 CE.
The author, very likely a Padua graduate from the faculty of physica, has this book full of stuff mostly to keep mercenaries alive. The author was almost certainly a Holy Roman Empire loyalist working to keep the HRE condottieri alive during the conflicts in Northern Italy between the HRE and the Papal authorities.
I know Latin has been proposed before, and every attempt to tie the two together has been beaten to within an inch of its life, but I promise this is at least a bit more robust of a framework than what this community is used to. Greek was proposed nearly to death by people before Ventris eventually proved Linear B was just some old weird Greek.
And I am not only asking you to trust me. I think I am my own worst skeptic, but that is certainly not true, especially not here.
I built tools to test all my work. From beginning to end, you can test it.
The link is You are not allowed to view links. Register or Login to view..
All the code I used is there, you can run it on the website or copy and paste it and run it on your own machines.
There is also a live translator on the website so you can test what I made and see if it makes sense. Either it works or it doesn't lmao.

The framework was done while doing tests on the entire corpus at once mostly, instead of trying to make sense of every page individually. That was too much work and led to nothing.
The shorthand is kind of like an agglutinative abjad system, though there's no good way to describe it efficiently. You'll see when you look at my work.

The book is divided into multiple parts, I'm sure you're aware.
1st section: Herbal section. This section is chimera, or combinations of different parts of plants all frankenstein'd into one plant. It functions as a visual recipe for the potion. They were drawn in the Doctrine of Signatures, which was a common way to draw medicinal plants in medieval Europe, drawing them not by how they look but by what alchemical and chemical principles they had within them. The text on these pages are almost entirely harvesting instructions, distillation purity, what kind of distillation is required, etc. This is just the recipe section of the book.
2nd section: Zodiac section. You see, chemistry and alchemy weren't different things, right? They were the same thing, and they were both governed by the stuff in the sky. You needed to harvest or distill different stuff under different conditions. Harvest peony at night so the woodpeckers don't see you and peck your eyes out (this is a real thing lmaooo), harvest nightshade... at night. Harvest sun flowers when the sun is out, etc. The zodiac part is the reference for harvesting instructions. When certain things happen, moon cycles, etc. This part doesn't have much in the way of instructions, just observations.
3rd section: Balneological section. The weird one, aye? In medieval Europe, there was no periodic table of elements. When you wanted to talk about chemistry and alchemy in visual form, you had... allegory. See, alchemy was divided into three different principles that governed the whole thing. Mercury, Sulphur, and Salt. The mercurial part of alchemy was the raw essence contained within plants and the earth (above ground) that could be extracted and refined. Mercury, volatile, feminine (certainly a choice), and cool. When you see women going through the tubes, it is a very on the nose way to illustrate raw, volatile Mercurial essence going through distillation tubes. The author practiced secular alchemy, pioneered by the OG Maria the Jewess, and we know this because he uses her Balneum Mariae. The balneum mariae used aqua frigida (cold water for cooling the distillation rig) and aqua vitae (the alcohol that you actually distil with). Cold is blue. Life is green. The balneological section is distillation instructions.
4th section: Cosmological section. This one is insane, truly, to look at; however, it's much more simple than the secrets of the universe. It is... topdown equipment setup guide for a Tribikos, or a three alembic distillation rig, which is an invention of, you guessed it, Maria the Jewess.

These are the four main sections for creation, and the last two sections deal mostly with what happens after production, which honestly I am not super interested in explaining here.

As an example of what the parser shows on any given folio, here is a section from 13r:
foli--em radic--em cohobatum Sol-foli--ae
Luna-cum recipe-Luna-cum radic--am canal--us
Leaf, root, cohobation, solar leaf, lunar conditional harvest command, root accusative, vessel noun, etc.

The Tria Prima, which is the governing force behind Southern Alpine alchemy, is encoded in the grammar. Solar markers on solar governed plants, lunar on lunar, and none on salt governed, because nobody cared when you harvest or prepared 99% of roots. They were considered shielded, unaffected by what happens above the ground. It's all encoded in the grammar.
The clearest example of this is folio 28r. Before I looked at the illustration, the parser flagged simultaneous solar AND lunar markers on the same lines, which is statistically unusual. Most folios are dominated by one or the other. My prediction was that the illustration would show a plant requiring both celestial conditions simultaneously. I panicked, thinking my theory was unraveling in front of me, but it was just mandrake. This goofy lil' weirdo is the one plant in all of medieval herbology whose harvest protocol explicitly requires both solar and lunar timing at once. I did not know that before I looked at the picture. I didn't know much of anything before I looked at anything.

As a second example, here's what the parser produces on Folio 70r2, the April zodiac page:
The 2nd ring reads: Solis... cohobatum+magna_mutatio... canal... cohobatum+mensis... inde... cucurbit... foli... Lunam... Solem
That's: Sun's conditions... cohobated charge at Great Mutation scale... vessel... monthly cycle... thereupon... flask... leaf material... Moon... Sun

The token cccc appears exactly once in the entire 40,702 token corpus. On this page. In the astronomical c-series, repetition marks temporal scale: c = day, cc = month, ccc = year. cccc = the Great Mutation. I didn't know what the Great Mutation was when the parser flagged it, which again made me panic because the primary distillation token should only be able to max out at ccc, triple distillation, because... tribikos. The Jupiter-Saturn water triplicity conjunction of 1425 CE, the single most significant astrological event of that generation, falls in March-April 1425. The carbon dating window for the manuscript is 1404-1438. The cccc token sits on the April page. The author was writing during or immediately after the event and marked it in real time. That narrows the composition window from 34 years to roughly 1425-1430.

I did two Monte Carlo permutation tests (in the live repo on my website)
The first one shuffled the semantic assignments, taking all the Latin mappings and randomly reassigns which token gets which Latin value, then runs the parser 1000 times with randomized meanings. If my framework were just lucky or memorizing stuff, you'd expect randomized assignments to score similarly. But they do not! The maximum random coverage it could get across all 1000 runs was 28.02% with roots and suffixes both, where mine got up to 52.1% with my framework.

The second one scrambles the actual characters inside every token in the book. This destroys the internal structure of the text, and then tests the grammar against the fake corpus, which is now all noise. If the parser was just exploiting pure character frequency patterns rather than real structure, it would still score pretty well on random text. It could only do 14.21% in 1000 runs, while my framework did 41.62%.
This is me trying to attack my framework from all directions. One asking "are the right words being assigned to the right meanings" and the other asking "is there actually structure here to find and have I found it?"
They both returned p values of... 0.0000.

Papers are on Zenodo, go take a look:
A Computational Decipherment and Explanation of the Voynich Manuscript - You are not allowed to view links. Register or Login to view.
Tribikos Confirmation, 52.1% Corpus Coverage, and a Complete Translation of Folio 70r2nd_ring - You are not allowed to view links. Register or Login to view.

Tear it apart lads, and as always...
Thank you for taking the time to look at my work. Truly, this community is a blast.

If you have any questions, feel free to message me. I'll be around to talk about it.

Forward-Falsifiable Predictions from a Priority-Dated Decipherment Key: Structural Ev

Wed, 20 May 2026 03:53:32 +0000

Every Voynich decipherment claim faces the same objection:
“The key was fitted to the manuscript after the fact.”
So I approached mine differently.
I priority-dated the key first, then derived structural predictions from it, then tested those predictions against the public IVTFF EVA corpus maintained by other researchers.
PDF/report link in first comment.
Python reproducibility code in second comment.
That is the point of this report: not “trust my reading,” but “run the test.”
The result is a forward-falsifiable validation layer for the Arabic/WAZN model — morphology, operational clustering, and grammatical position all behaving as the key predicted before verification.
This matters because a real decipherment key should not only translate words.
It should predict hidden structure in the manuscript.

Python file:

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Structural Translation of the Voynich Manuscript: A Mathematical and Cross-Modal Appr

Fri, 08 May 2026 00:07:09 +0000

Greetings, researchers and experts of the Voynich community.

My name is Keishi Oi. I am sharing the results of my recent structural and mathematical research on the Voynich Manuscript. The full dataset and methodology have just been published on Zenodo as open-access materials.

I am fully aware of the rigorous skepticism this community holds toward any translation claims. Therefore, I am not presenting a subjective, semantic reading based on human intuition. Instead, I am presenting a complete structural decoding based on the premise that the manuscript is a highly standardized recording system—specifically, a systematic record of a medieval practical pharmacopoeia.

By applying a strict mathematical methodology (The OI-2026 Protocol), this research bypasses traditional linguistic guessing.

Key Methodologies and Findings:

1.Statistical Alignment: I applied dimensionality reduction (Truncated SVD) to map the morphological behaviors of the Voynich strings and a 16th-century Latin Alchemical/Medical corpus into a shared mathematical space.

2.Objective Constraints: Using strict statistical thresholds (Z-score >= 2.0) and geometrically classified grammatical roles, 99.4% of the undefined words were objectively matched to existing Latin vocabulary without a single syntactical contradiction.

3.Cross-Modal Verification: The most critical proof is independent of the text itself. I measured the physical features of the botanical illustrations (such as the number of branch and leaf endpoints). The correlation between the complexity of the illustrations and the frequency of "Material" words in the translated text yielded an undeniable statistical correlation (R = 0.7080, P = 7.70×10⁻²⁹).

The manuscript records highly structured operational procedures (e.g., "ignite," "alkalize") followed by lists of materials, utilizing strict positional rules rather than natural grammatical inflection.

Open Science & Reproducibility:
To ensure absolute transparency, the complete translated text (Voynich_Absolute_Translation_Final.txt), the cross-modal verification data, and the Python source codes are publicly available on Zenodo.

Zenodo Repository:
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I invite the experts of this forum to download the dataset, review the codes, and rigorously test the mathematical proofs (especially the cross-modal correlation). I welcome all objective, data-driven critiques.

Best regards,
Keishi Oi

Exaｍple

<1r.1>
①EVA : fa19s 9 hae ay Akam 2oe !oy9 scs 9 hoy 2oe89
②LAT :

<1r.2>
①EVA : soy9 Hay oy 9 hacy 1kam 2ay Ais Kay Kay 8aN
②LAT :

<1r.3>
①EVA : s9aIy 2ch9 oy 9ham o8 Ko ay9 Kcs 8ay am s9
②LAT :

<1r.4>
①EVA : 8om okcc9 okcoy y oeok9 Aay 8am oham oy ohaN
②LAT :

<1r.5>
①EVA : saz9 1cay Kam Jay Fam 98ayai29
②LAT :

<1r.6>
①EVA : o8ay !oe Go9 o98ay ! s Foam o8ay9
②LAT :

A repeatable falsifiable Voynich Translation model

Wed, 29 Apr 2026 17:44:44 +0000

Hello,

We present a decoding framework for the Voynich Manuscript. This research provides a repeatable grammatical model, a lookup architecture, a falsification standard, and a translation protocol. The goal is not simply to interpret the manuscript, but to make it decodable in a reproducible way by any sufficiently constrained intelligence, human or artificial intelligence. We provide SEVERAL repeatable translations.

We have also used the same analysis framework to publicly decode The Kryptos K4, Dorabella Cipher, Zodiac Z13/Z32, Beale Cipher and the Shugborough Inscription as proof of rigor.

NOTE: This decoding framework is part of our larger overall research into complex systems science. We are looking for institutional partners (not individuals) that can verify/collaborate for the purpose of producing a case study of our research methods. If you would like to participate please reach out.

Youtube overview: You are not allowed to view links. Register or Login to view.
Full Article: You are not allowed to view links. Register or Login to view.

Thanks,

Kevin L. Brown
Founder & Author
Creation Unified

Progress Report: Decoding the Voynich Manuscript via the OI-2026 Protocol

Mon, 20 Apr 2026 00:55:21 +0000

Hello everyone,

I am an independent researcher studying the Voynich Manuscript.
I made a post here recently, but it was moved to the trash bin. I was quite disappointed that it was discarded before the contents of my paper were properly reviewed.

However, upon reflection, I realize that my heavy use of modern IT terminology likely made the core concepts difficult to understand. To keep things straightforward, here are my discoveries in plain terms:

I have discovered the absolute "grammar" that constitutes the Voynich Manuscript.

This grammar consists of a strict 4-stage process.

I have determined that the foundational structure of the text is a "17x73" matrix, consisting of "17 basic frames" and "73 components."

For full details, please check the link below. I have made the data open so anyone can verify it themselves:
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Furthermore, below are the work-in-progress results of applying NMF (Non-negative Matrix Factorization) analysis and Cosine Similarity using this identified grammar. (Note: I have translated my Japanese working notes into English for this forum):

1. Original EVA: 9
2. Latin Base: [9: Unverified]
3. Meaning: [9: Unverified]
4. Breakdown:
- 9: [Unverified]

1. Original EVA: hae
2. Latin Base: [h: Unverified] + [a: Unverified] + [LAMENTANS / MEGISTUS / RESTITUANT]
3. Meaning: [h: Unverified] + [a: Unverified] + [lamenting / crying out / great / greatest / restore / recover]
4. Breakdown:
- h: [Unverified]
- a: [Unverified]
- e: [LAMENTANS / MEGISTUS / RESTITUANT]

1. Original EVA: ay
2. Latin Base: [a: Unverified] + [y: Unverified]
3. Meaning: [a: Unverified] + [y: Unverified]
4. Breakdown:
- a: [Unverified]
- y: [Unverified]

1. Original EVA: Akam
2. Latin Base: [A: Unverified] + [k: Unverified] + [a: Unverified] + [m: Unverified]
3. Meaning: [A: Unverified] + [k: Unverified] + [a: Unverified] + [m: Unverified]
4. Breakdown:
- A: [Unverified]
- k: [Unverified]
- a: [Unverified]
- m: [Unverified]

1. Original EVA: 2oe
2. Latin Base: [2: Unverified] + [MENTITI / SPECULARES / PHENGITES] + [LAMENTANS / MEGISTUS / RESTITUANT]
3. Meaning: [2: Unverified] + [false / imitation / transparent / mirror-like / transparent stone / mica, marble] + [lamenting / crying out / great / greatest / restore / recover]
4. Breakdown:
- 2: [Unverified]
- o: [MENTITI / SPECULARES / PHENGITES]
- e: [LAMENTANS / MEGISTUS / RESTITUANT]

1. Original EVA: !oy9
2. Latin Base: [!: Unverified] + [MENTITI / SPECULARES / PHENGITES] + [y: Unverified] + [9: Unverified]
3. Meaning: [!: Unverified] + [false / imitation / transparent / mirror-like / transparent stone / mica, marble] + [y: Unverified] + [9: Unverified]
4. Breakdown:
- !: [Unverified]
- o: [MENTITI / SPECULARES / PHENGITES]
- y: [Unverified]
- 9: [Unverified]

1. Original EVA: ýscs
2. Latin Base: [ý: Unverified] + [s: Unverified] + [FUMANTES / SORBERE / GRACILES] + [s: Unverified]
3. Meaning: [ý: Unverified] + [s: Unverified] + [smoking / vaporizing / absorbing / swallowing / thin / rare] + [s: Unverified]
4. Breakdown:
- ý: [Unverified]
- s: [Unverified]
- c: [FUMANTES / SORBERE / GRACILES]

As this is still an ongoing process, I apologize for the abundance of "Unverified" tags. I firmly believe that by expanding the corpus of literature going forward, a complete decoding of the Voynich manuscript will eventually be achieved.

Any thoughts, feedback, or opinions would be highly appreciated.

For reference, here is the Latin literature corpus used for this specific verification phase:

1. Natural Philosophy (Lucretius: De Rerum Natura)

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2. Astronomy & Astrology (Hyginus, Manilius, Pliny, Seneca)

You are not allowed to view links. Register or Login to view. (Hyginus: Astronomica, Book 2)

You are not allowed to view links. Register or Login to view. (Hyginus: Astronomica, Book 3)

You are not allowed to view links. Register or Login to view. (Manilius: Astronomica, Book 1)

You are not allowed to view links. Register or Login to view. (Pliny: Naturalis Historia, Book 1)

You are not allowed to view links. Register or Login to view. (Seneca: Naturales Quaestiones, Book 2)

3. Fluid Dynamics, Aqueducts, and Baths (Vitruvius, Seneca)

You are not allowed to view links. Register or Login to view. (Vitruvius: De Architectura, Book 8)

You are not allowed to view links. Register or Login to view. (Seneca: Naturales Quaestiones, Book 4)

You are not allowed to view links. Register or Login to view. (Seneca: Naturales Quaestiones, Book 6)

4. Medicine, Pharmacy, and Botany (Columella, Isidore)

You are not allowed to view links. Register or Login to view. (Columella: De Re Rustica, Book 6)

You are not allowed to view links. Register or Login to view. (Isidore: Etymologiae, Book 4 - Medicine)

You are not allowed to view links. Register or Login to view. (Isidore: Etymologiae, Book 11 - The Human Being)

You are not allowed to view links. Register or Login to view. (Isidore: Etymologiae, Book 13 - The Cosmos and its Parts)

You are not allowed to view links. Register or Login to view. (Isidore: Etymologiae, Book 17 - Agriculture and Botany)

Title: Solving the Voynich Rules: A 100% Consistent Structural Decoding and Mathemati

Wed, 15 Apr 2026 23:53:41 +0000

Dear Voynich Manuscript Researchers,

My name is Keishi Oi, an independent researcher based in Japan. I am writing to share the mathematical proof and the decryption methodology of the Voynich Manuscript, which I have named the "OI-2026 Dismantling Protocol."

Core Finding:
The Voynich Manuscript is not written in a natural language, nor is it a simple substitution cipher. Through mathematical modeling, I have proven that the text is a "Combinatorial Data Matrix" — a broadly defined artificial language (comparable to modern Data Description Languages) generated by a deterministic automaton.

Evidence & Data:
The complete mathematical proof, including the calculation of the 11.05 bits word entropy, the extraction of the 17x73 primary register map, and the 100% error-free syntax parsing of the entire combinatorial space, has been made open access.

You can download the full paper (PDF) and the dataset via Zenodo here:
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(Note: The full manuscript has also been submitted to Cryptologia and is currently under peer review.)

I believe the OI-2026 protocol mathematically answers many of the statistical anomalies (such as the extreme Zipf's law deviations) that this community has long debated.

I welcome your rigorous verification, mathematical critiques, and open discussions.

Regarding the methodology and the use of AI:
I am fully aware of the community's concerns regarding LLM-generated "slop." I wish to clarify that I utilized AI strictly as a tool for Python script generation and English translation to facilitate international dissemination of my findings.

Crucially, the core discovery — the 17x73 register map and the four-stage logic architecture — was NOT generated by AI. These structures were identified through deterministic mathematical analysis and verified in independent Python environments (Google Colab/VSCode) to prevent any LLM hallucinations.

Furthermore, please understand that the modern IT terminology I employ (such as "OS," "registers," "Boot," and "Termination") is intended strictly as a functional metaphor. These terms are used to translate the impersonal, abstract behaviors of the manuscript's combinatorial data structure into a format that is comprehensible to human researchers.

If you suspect this is "AI slop," I invite you to stop judging by the style and start judging by the data. The methodology is fully disclosed, and the dataset is public. I welcome any researcher to run the code on the Zenodo repository and attempt to falsify the results through direct replication.

Best regards,

Keishi Oi
Independent Researcher

A structural hypothesis: Voynich text as an operational volvelle system

Tue, 14 Apr 2026 07:45:55 +0000

Hi everyone,
I would like to share a working hypothesis based on structural analysis of several folios. This is not a claim of decipherment, but an attempt to model how the system might function.

1. Starting point
Across multiple folios (e.g. f18r, f19r, f20v, f2v, f99v), I observed:

Strong repetition of specific word families (qok-, chol/chor, daiin, -aiin, dy, etc.)
Stable patterns with small local variations
Recurring positions (beginning, middle, end of lines)
Sequences that appear more procedural than descriptive

This led me to shift from a “translation” approach to a structural and operational one.

2. Words as functional particles
Instead of treating words as lexical units, I treat them as functional elements within a system.
Examples of recurring families:

qok- → often appears in initiating or structuring positions
chol / chor / cho → very frequent, possibly action-related blocks
daiin / aiin → often appears as a pivot or transition point
dy / dar / dal / dary → frequently near terminal positions
endings in -aiin → may indicate a transformed or final state

These elements combine in highly regular ways.

3. From sentences to sequences
Some lines (especially in f86v4 and f20v) do not behave like simple sentences, but rather like multi-step sequences:

repetition of blocks
reappearance of the same families mid-line
multiple “pivot-like” elements (e.g. aiin appearing more than once)

This suggests something closer to:
a sequence of operations or states, not a grammatical sentence

4. Multi-object behavior
In some folios (e.g. f99v), the same structures apply to different object markers (e.g. {plant}, {hole}).
This suggests:

the system is not purely botanical
words do not describe objects directly
they define roles or transformations applied to objects

5. Hypothesis: volvelle-like system
Based on this, I propose a tentative model:

Recurring word families correspond to functional layers (or “disks”)
Individual words correspond to positions or states within those layers
A line encodes a sequence of transitions or alignments

In other words, the text could be a linear encoding of a circular or combinatorial system, similar in spirit to a volvelle.

6. Why this might make sense
Such a system would:

explain strong repetition and modularity
allow controlled variation (parameters)
be usable as an operational tool rather than a descriptive text
match the need for an efficient, reusable system

7. What this does NOT claim

I am not claiming specific translations
I am not claiming that a physical volvelle is proven
I am not claiming this explains everything

This is only a structural hypothesis.

8. What I would like feedback on
I would really appreciate feedback on:

Whether others have observed similar positional constraints
Whether the “functional particle” approach seems plausible
Whether the volvelle analogy is useful or misleading
Any counterexamples where this structure clearly fails

If useful, I can share more detailed breakdowns of specific folios and sequences.
Thanks in advance for your thoughts — I’m trying to test whether this approach can hold up under scrutiny.

Armenian grammar + Latin pharmaceutical vocabulary (67% word recognition)

Mon, 13 Apr 2026 19:44:01 +0000

Hi everyone,

I've been running a computational linguistic analysis on the VMS text (58 iterative Python runs over the IVTFF H transcription, 37,025 words) and wanted to share the results for discussion and criticism.

**TL;DR:** The analysis suggests the text may use Armenian grammatical function words combined with Latin pharmaceutical terminology — the kind of mixed-language writing documented in 15th-century Armenian medical texts. 67% of words can be mapped to identifiable Armenian/Latin forms. A blind test shows this is 7.4x above random baseline (6%), so it's not just pattern-matching noise.

## The core findings

### 1. Eight exact matches with Classical Armenian function words

| Decoded | Armenian | Meaning | Frequency |
|---------|----------|---------|-----------|
| vor | vor | who/which | 2x |
| zi | zi | because | 103x |
| or | or | day | 448x |
| gal | gal | to come | 9x |
| tal | tal | to give | ~10x |
| ban | ban | thing/word | ~10x |
| am | am | year / instrumental | 619x |
| ce | ker | food/preparation | ~400x |

The last one (`ce` = Bedrosian Dictionary's `ker` = "food") is particularly interesting because `cocei` (451x) and `coced` (604x) — the two most common prefixed words — decompose as `co` + `ce` + suffix, functioning as the main recipe instruction verb.

### 2. Latin material names (not Armenian)

| Decoded | Latin | Meaning |
|---------|-------|---------|
| ol | oleum | oil (692x) |
| col | cola | strain (574x) |
| cor | cortex | bark (257x) |
| sal | sal | salt (75x) |
| sol | solve | dissolve (196x) |
| can | canna | reed/tube (163x) |
| car | caro | flesh/meat (85x) |

The split is consistent: **grammar = Armenian, ingredients = Latin**. This matches the documented practice of Amirdovlat Amasiatsi and other 15th-century Armenian physicians who used Armenian sentence structure with foreign technical terms.

### 3. The EVA triple consonant system matches Armenian phonology

The EVA ligature system (k/ch/kch, p/ch/pch, t/ch/tch) encodes the Armenian three-way stop distinction (voiceless/aspirated/voiced). This matches the Cilician Middle Armenian consonant shift documented by Vardanyan (1999):

- EVA `kch` → /g/ (Armenian voiced)
- EVA `pch` → /b/ (Armenian voiced)
- EVA `tch` → /j/ (Armenian voiced)

### 4. Two different ligatures for two different suffixes

EVA `aiin` and `ain` — previously treated as identical — show different distributional patterns:
- `ain` → `-an` (genitive/dative, grammatical contexts)
- `aiin` → `-am` (instrumental, appears next to measurement terms)

### 5. Medieval pharmaceutical number system

| Decoded | Meaning | Frequency |
|---------|---------|-----------|
| d | 1 dose (℥j) | 946x |
| i | 1 unit | 621x |
| s | half (semis) | 292x |
| sd | half-dose (℥ss) | 548x |
| si | 1½ | 453x |
| gd | drop (gutta) | 170x |

These appear adjacent to material names in exactly the positions expected for recipe dosages.

### 6. Blind test validation

| Test | Recognition |
|------|-------------|
| Real Voynich | 44.8% |
| Random text (same char frequencies) | 6.0% ± 0.1% |
| Random text (uniform) | 2.0% |

Gap: +38.8 pp (7.4x). The method captures real structure, not noise.

### 7. All sections use the same vocabulary

Every section tested — herbal, biological/"bathing", pharmaceutical, recipes, astronomical, cosmological — uses identical vocabulary (62-80% recognition). The "bathing" pages and "cosmological" pages contain the same recipe language as the pharmaceutical section.

## Sample translation (f75r line 36, 100% recognized)

**EVA:** `sol keedy qokeedy qokey okar otar dar dar dy`

**Decoded:** `sol ced coced cocei ocar odar dar dar d`

**English:** DISSOLVE your-food! PREPARE-your-food! PREPARE! To-here the-medicine. Medicine, medicine, ℥j (one dose).

## What I'm NOT claiming

- This is not a complete decipherment. ~33% of words remain unidentified.
- The exact phonetic values are not all finalized (particularly t→d vs t→t).
- Sentence-level coherent translation is only partial.
- I cannot identify which plants or diseases the recipes describe.
- The word `bor` (wine?) matches neither Latin nor Armenian.

## What I am claiming

- The text contains real linguistic structure (validated by blind test)
- Armenian function words appear at statistically significant rates
- The mixed Armenian grammar + Latin vocabulary pattern matches documented 15th-century Armenian pharmaceutical writing practice
- The text reads as pharmaceutical recipes: materials + preparation + dosage

## Reproducibility

All 58 Python scripts, the full IVTFF data, output files, the Bedrosian dictionary extract, and the Amirdovlat research compilation are available. Happy to share the GitHub repo if there's interest.

I'd particularly welcome:
- Criticism of the methodology (am I overfitting?)
- Input from anyone who reads Classical Armenian
- Comparison with other decipherment attempts
- Statistical critique of the blind test

Thanks for reading. Looking forward to the discussion.
# Appendix: Full decoding rules, vocabulary, and sample translations

## A. Complete Decoding Rules (EVA → phonetic value)

Processing order matters — longer sequences are matched first:

```
LIGATURES (multi-character):
chckh → tsh chcth → tst chck → tsh chct → tst
kch → g pch → b tch → j lch → gh
dch → dj fch → v cth → th
aiin → am iin → in
chee → e che → (silent) cho → kho chy → i
ch → h
qo → co ok → oc ot → ot ol → ol
da → da dy → d ai → a ar → ar
am → am ed → ed ee → e he → (silent)
sh → z in → n pl → pl

SINGLE CHARACTERS:
y → i k → c t → d h → (silent)

All other letters (a, e, i, o, l, d, s, p, r, n, m, c, f, g, u, b, v) → unchanged
```

**Key insight:** The `aiin` vs `ain` distinction is critical. These are two different ligatures encoding two different suffixes (-am instrumental vs -an genitive/dative). Previous transcription analyses treated them as identical.

## B. Complete Identified Vocabulary

### Stems — Armenian origin (8 exact matches)

| Decoded | Armenian | English | Evidence |
|---------|----------|---------|----------|
| vor | vor | who/which | Relative pronoun, exact match |
| zi | zi | because | Conjunction, 103x, exact match |
| or | or | day | 448x, exact match |
| gal | gal | to come | Verb, exact match |
| tal | tal | to give | Verb, exact match |
| ban | ban | thing/word | Noun, exact match |
| am | am | year / with (INSTR) | 619x, exact match |
| ce | ker | food/preparation | Bedrosian Dict. confirms |

### Stems — Armenian near-matches (4)

| Decoded | Armenian | English | Difference |
|---------|----------|---------|------------|
| dar | derman | medicine/remedy | dar ≈ derm (abbreviation?) |
| dam | dram | drachma | dam ≈ dram (missing r) |
| khor | khot | herb/grass | khor ≈ khot (r↔t) |
| sar | serm | seed | sar ≈ serm (abbreviation?) |

### Stems — Latin origin (10)

| Decoded | Latin | English | Freq |
|---------|-------|---------|------|
| ol | oleum | oil | 692x |
| col | cola | strain (verb) | 574x |
| cor | cortex | bark | 257x |
| sal | sal | salt | 75x |
| sol | solve | dissolve (verb) | 196x |
| can | canna | reed/tube | 163x |
| car | caro | flesh/meat | 85x |
| cal | calidus | warm/hot | 49x |
| cear | cera | wax | ~30x |
| ceol | cera+oleum | wax-oil | ~35x |

### Other identified stems

| Decoded | Meaning | Notes |
|---------|---------|-------|
| zol | sap/liquid | 176x, dominant in Herbal section |
| lc | milk | 86x (ragozott), lac? |
| bor | wine | 30x, NOT Latin/Armenian — Hungarian/Turkic? |
| bol | bolite/bolus | Armenian bole (medicinal clay) |
| opi | opium | 9x |
| dol | dose (unit) | 239x |
| ded | they give | 73x |
| com | mix (verb) | 16x |
| ad | add (verb) | 5x |
| tor | grind (verb) | ~20x |
| dal | give (verb) | 322x |

### Suffixes (case system)

| Suffix | EVA ligature | Function | Armenian parallel |
|--------|-------------|----------|-------------------|
| -an | ain | genitive/dative ("to/for") | Grabar GEN/DAT -an |
| -am | aiin | instrumental ("with/by") | Middle Armenian INSTR |
| -ar | ar | allative ("toward") | Word-formative suffix |
| -ed | edy/eedy | uncertain ("also"? "and"?) | Debated |
| -i | y | genitive ("of") | Grabar GEN -i |
| -d | dy | possessive ("your") | Grabar POSS |
| -n | in | definite article | Middle Armenian DEF |
| -al | al | infinitive ("-ly"/"-ing") | Uncertain |

### Prefixes

| Prefix | EVA | Function | Evidence |
|--------|-----|----------|----------|
| co- | qo | imperative ("prepare!") | 6,951x; exclusively before material nouns/verbs |
| oc- | ok | demonstrative ("this/that") | 2,350x; exclusively before case suffixes |
| o- | o | accusative ("the...[object]") | 4,894x; before inflected stems |

**Evidence for distinct prefix functions (Run42 discovery):**
`co-` + ced(604x), can(578x), car(174x), cal(197x) — but oc+ced = 0x, oc+can = 0x
`oc-` + an(365x), ed(235x), ar(148x), ol(86x) — but co+an = 41x, co+ed = 26x
The distribution is almost perfectly complementary.

### Measurements

| Decoded | Medieval equiv. | Meaning | Freq |
|---------|----------------|---------|------|
| d | ℥j | 1 dose | 946x |
| i | j | 1 unit | 621x |
| s | ss | half (semis) | 292x |
| sd | ℥ss | half-dose | 548x |
| si | — | 1½ | 453x |
| gd | gtt | 1 drop (gutta) | 170x |
| dd | ℥ij | 2 doses | 30x |
| ii | ij | 2 | 19x |
| dsd | ℥j½ | 1.5 doses | 66x |
| dsdi | ℥j½+1 | 1.5 doses + 1 | 86x |

## C. Sample Translations (10 pages, best lines)

### You are not allowed to view links. Register or Login to view. — Biological section (74.7% recognized)

**Line 22 (100%):**
EVA: `odar shey qokain chedyor shey kar chedy sar`
→ `the-medicine 1½ PREPARE-in-reed! part 1½ meat ℥j seed`

**Line 36 (100%):**
EVA: `sol keedy qokeedy qokey okar otar dar dar dy`
→ `DISSOLVE! food.POSS PREPARE-yours! PREPARE! to-here the-medicine medicine medicine ℥j`

**Line 38 (83%):**
→ `PREPARE-yours! PREPARE-yours! PREPARE-yours! PREPARE-yours! PREPARE-yours! [?]`
*(5x repetition — compare Amirdovlat's "And do this for six days!")*

**Line 26 (100%):**
→ `to.the oil DISSOLVE! to.the oil PREPARE-[?] ADD!`

### You are not allowed to view links. Register or Login to view. — Biological "bathing" section (79.5% recognized)

**Line 10 (100%):**
→ `PREPARE they-give them-GIVE ℥ss PREPARE-yours! PREPARE also this-also ℥.with`

**Line 26 (100%):**
→ `oil PREPARE-meat! ℥ss STRAIN them-GIVE the-drop`

**Line 28 (100%):**
→ `GIVE! ℥ss PREPARE-yours! ℥ss to.the ℥.with`

### You are not allowed to view links. Register or Login to view. — Biological "bathing" section (76.1% recognized)

**Line 13 (100%):**
→ `PREPARE-yours! oil food.POSS PREPARE-in-reed! this-also food.POSS ℥ ℥j PREPARE they-give ℥j`

**Line 18 (100%):**
→ `oil ℥j PREPARE-in-reed! medicine toward to-this`

### You are not allowed to view links. Register or Login to view. — Pharmaceutical section (76.5% recognized)

**Line 22 (100% of decodable):**
→ `2 with-this STRAIN day oil`

### You are not allowed to view links. Register or Login to view. — Recipe section (72.0% recognized)

**Line 17 (100%):**
→ `seed 1½ PREPARE! food.POSS PREPARE! |dz| PREPARE-warm! the-℥.GEN day with`

**Line 51 (100%):**
→ `ss.with food.GEN 1½ the-ss.with`

### f85r1 — Cosmological "9-rosette" page (67.0% recognized)

**Line 22 (83%):**
→ `[?] medicine ℥j the-r.with likewise this-also`

## D. Blind Test Details

**Method:** Generate 37,025 random "words" using same character frequency distribution as real Voynich. Apply identical decoding rules and dictionary. Measure % recognized. Repeat 100 times.

**Results:**
- Real Voynich: **44.8%** (note: lower than 67% because the blind test used a simpler matching algorithm without prefix/suffix decomposition)
- Random (frequency-matched): **6.0% ± 0.1%** (range: 5.8-6.4%)
- Random (uniform alphabet): **2.0% ± 0.1%**
- Bigram-preserving random: **49.7% ± 0.3%**

The bigram result (49.7%) deserves discussion. It means that if you preserve which characters tend to follow which characters (2-gram statistics), you get similar recognition. This could mean: (a) our decoding captures bigram structure rather than word meaning, OR (b) the Voynich's bigram patterns ARE the linguistic structure we're decoding, which is expected if the decoding is correct. The 6% frequency-matched result confirms the dictionary alone doesn't produce false positives.

## E. What remains unidentified

The ~33% unidentified words fall into these categories:

1. **Short function words** (o, r, l, co — possibly scribal marks or separators)
2. **Armenian-phonology words** (ci, gi, dzi, cci — likely Armenian verb forms or particles requiring native speaker input)
3. **Compound measurements** (dsdi, dsd, lsd — combined dosage notations)
4. **Voiced-consonant stems** (ged, bed, djed, ob, oj, dj — words beginning with Armenian voiced consonants, probably identifiable with a larger Armenian dictionary)
5. **Long compound words** — likely multi-morpheme constructions we haven't decomposed yet

## F. Reproduction

All code is Python 3. The analysis requires:
- `voynich_data.txt` (IVTFF transcription, freely available)
- `armenian_vocab_transliterated.txt` (896 entries from Bedrosian Dictionary)
- 58 analysis scripts (voynich_run01.py through voynich_run59.py)

Root Typology as a Predictor of Floral and Textual Features in the Voynich Manuscript

Sat, 11 Apr 2026 09:18:36 +0000

I am not claiming to have deciphered the Voynich manuscript, but I want to share an observation I made while analyzing the botanical illustrations. This is not an attempt to “solve” the manuscript - just an interesting pattern I noticed and decided to check more carefully.

I selected about 50 plants from the botanical section of the manuscript whose roots share a similar visual structure: branching, subdividing, and repeating graphical elements. The remaining plants were excluded because their roots differ fundamentally - some have thorns, some have tubers, some have bulb‑like bases, and some are not true branching roots at all.
So from roughly 110 plants, only 49 formed a clean, comparable dataset.
Within this group, the roots fall into three structural types: straight, intertwined, and what I call the “X‑format”
The X‑format consists of roots that contain crossings and repeated graphic motifs such as xx|x|xx|x|х... , ||x , |xx|x|x|x|x|x|x|x|x and other long, patterned sequences. Only six plants in the entire set show this X‑format, but these six display the strongest and most consistent internal pattern.
When I counted how often a plant has a flower depending on its root type, the results were:

straight roots - a flower appears in roughly 62% of cases
intertwined roots - a flower appears in roughly 68% of cases
X‑format roots - a flower appears in 100% of cases, without a single exception
And this is only the beginning.
All six X‑format plants not only have flowers - the flowers are always colored, almost always blue, and their shapes are strikingly similar (cup‑shaped or petal‑shaped). These pages also cluster together in the manuscript rather than appearing randomly. Straight and intertwined roots do not show this level of consistency: flowers may or may not appear, colors vary unpredictably, and shapes differ widely.
To test whether this pattern was real, I ran a small experiment: I used a structural‑recognition tool to see whether the characteristics of the flower could be predicted from the root alone. Based solely on the root type, the tool correctly predicted that the plant has a flower, that the flower is cup‑shaped, and that it is blue. This suggests that the connection between root type and flower characteristics is strong enough to be detected independently.
Further analysis revealed that the same pattern appears in the text.
I counted how many words on each page contain the sequence qot, by which I mean the EVA‑transliterated glyphs corresponding to that pattern (EVA - the Extensible Voynich Alphabet system used to transcribe the manuscript’s script). The distribution of EVA‑qot words mirrors the three root types perfectly:
straight roots - lowest qot counts (typically 1–7)
intertwined roots - medium qot counts (3–11)
X‑format roots - the highest and most stable qot counts (4–13), even on pages with very little text
In other words, the frequency of EVA‑qot words increases together with the structural complexity of the root and with the likelihood of a flower being present.
This creates a three‑level correlation:
root type --- presence of flower --- high density of EVA‑qot words.
Text length and paragraph structure do not explain this pattern: some pages with very little text have extremely high qot density, while long pages with straight roots have almost none. This suggests that qot‑words are not distributed randomly and do not depend on text volume, but instead correlate with the visual class of the plant.
I am not claiming this is the key to the manuscript.
But within this group of 49 structurally comparable plants, the roots behave more like encoded graphical symbols than like botanical drawings. The X‑format appears to be a distinct, highly structured class that predicts the presence of a flower, its shape, its color, and even the textual formula of the page. It may represent part of a visual marking system embedded in the illustrations.
I share this simply as an observation. Perhaps someone will find it interesting or useful for further analysis.
Pages with X‑format roots: 45, 51, 85, 95, 99, 106.

Here are the sources I relied on while developing my hypothesis:
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True author Of the Voynich Manuscript 2nd edition

Thu, 09 Apr 2026 17:52:43 +0000

Hey there everyone!
I am an independent researcher. My name is Anjishnu Kundu.
I am quite new to this world of Voynich Manuscript so there might be some wrong points or proofs. So if u find any , please tell me where i was wrong. I am open to any type of discussion on this topic.
Whatever , I am providing the link to zenodo where i first published the report. Might seem a bit AI, but no. I wrote it after seeing numerous irl reports and asking some professors too. U can view the files at both area. Here and at Zenodo.https://doi.org/10.5281/zenodo.19487348 is the doi link.
Thanking you,
Anjishnu.(Independent Researcher)

Xiaomi_2410CRP4CI_uke_2026-04-09_10-09-22.pdf (2).docx (Size: 10.49 KB / Downloads: 13)

a Voynich kezirat megfejtese

Thu, 09 Apr 2026 12:25:23 +0000

1. A „Növények” (A Frekvencia-antennák)
A kézirat tele van furcsa növényekkel, amik a valóságban nem léteznek.

A Hardver: Ezek nem virágok, hanem Bio-elektromos Antennák és Rezonátorok.
Ha megnézed a levelek erezetét és a gyökerek formáját, azok pontosan úgy néznek ki, mint a modern Fraktál-antennák. A Voynich-növények a természet mintáiba rejtett Vevőegységek, amik a földből (gyökér) és a levegőből (levél) gyűjtik össze a statikus töltést.

2. A „Csillagászati” kerekek (A Fázis-modulátorok)
A sok körkörös ábra, bennük alakokkal és vonalakkal, nem „horoszkóp”.

A Diagnózis: Ezek a Frekvencia-táblázatok és Időzítő-modulok (Timers).
A Megfejtés: Megmutatják, hogy a nap különböző szakaszaiban hogyan változik a légkör ionizációja, és mikor kell a rendszert „fázisba hozni”, hogy a (Stabilitási) kód ne csússzon el.

3. A „Nők a kádakban” (A Plazma-elektrolízis)
A legrejtélyesebb rész, ahol kis alakok (nők) úszkálnak zöld folyadékkal teli kádakban, amiket csövek kötnek össze.

A Hardver: Ez a Hűtőrendszer és a Plazma-kondenzátor leírása.
A Funkció: A csövek a folyadék-hűtéses vezetékek, a kádak pedig a Cellák, ahol az energia tárolódik. Ez a rész magyarázza el, hogyan kell a nyers energiát folyékony közegben (vagy elektrolitban) stabilizálni, hogy a (LÉT) szinten felhasználható legyen. Ez a Bárka „üzemanyagtartályának” és „hűtőbordájának” a rajza.

4. A Szöveg (A Kód-nyelv)

A Szoftver: A Voynich „szövege” nem emberi nyelv, hanem egy Geometriai-Algoritmikus kód. Minden betű és szó egy-egy Rezonancia-értéket vagy Vezérlő-parancsot jelöl. Olyan, mint a programozási nyelvek (mint a Python vagy a C++), csak ez a rezgésekre és a molekuláris geometriára íródott.

-összefoglaló: A Voynich-kézirat a Karbantartói Kézikönyv a Bárka ( tested es a Fold ) biológiai és technológiai összekapcsolásához. Aki érti a kódot, az tudja, hogy a könyv nem olvasni való, hanem a benne lévő ábrák alapján kell beállítani a gépeket.

True author Of the Voynich Manuscript

Thu, 09 Apr 2026 10:16:40 +0000

Hello everyone,
I am excited to share a new technical report focusing on the botanical anomalies (Folios 33r and 95v) and their connection to the Imperial Court of Rudolf II.
My research, titled the Radioactive Adaptive Theory (RAT), suggests that the 'errors' in the manuscript—specifically the stem fasciation in the Groundsel and Nettle—are actually accurate documentations of plants adapted to high-energy atmospheric events.
This report establishes a historical nexus between Jacobus Horčický de Tepenec and Cornelius Drebbel, proposing that early compound lenses were used to document these mutations for advanced pharmacological use.
You can read the full report and see the comparison data on Zenodo here: You are not allowed to view links. Register or Login to view.

I welcome any feedback on the botanical IDs or the Prague historical timeline.

Steven Korj Formula-Seal (Techno-Resonant Structural-Algorithmic Korj Method)

Sun, 05 Apr 2026 01:15:00 +0000

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The Voynich Manuscript, Codex Gigas, and Codex Rohonczi are not literature. They are fragments of a single planetary typescript, encrypted through a system of coordinate ports (micro-per-forations) and alignments.
All of this became known to Steven Korj through his newest Techno-Resonant Structural-Algorithmic Method. This book contains a seal and The Korj formula, which can be used to instantly translate any page. However, Leonardo da Vinci actually wrote the entire side of page 81 in his own hand! He wrote over the typescript during a restoration in the Vatican. Also, the algae in the book, Sargassum, are his drawings.
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