[Movie] This Famous Medieval Book May Be a Hoax

[Torsten]

They used to be better. The quality dropped a lot since Hank Green [apparently] handed the production over to his assistants.  In this case, I think that the producers were not aware of all the previous "hoax" claims and how difficult it is to prove that something does not contain meaningful information ...

Conclusions should emerge from the evidence — not the other way around.

The text of the Voynich Manuscript (VMS) exhibits consistent internal structure, statistical patterns, and positional rules that can’t be ignored, regardless of personal belief about its meaning or origin. Some of these key observations include:

• Extreme repetition: Repetition occurs at a scale far beyond that of natural language.
  
• Low conditional entropy: Lower than any known natural language, indicating high predictability (Bennett, 1976; You are not allowed to view links. Register or Login to view.).
  
• Binomial word-length distribution: Unlike the Poisson-like distribution typical of natural languages (You are not allowed to view links. Register or Login to view.).
  
• Lack of clear word order or repeated phrases: Atypical for meaningful linguistic texts (D'Imperio, 1976).
  
• Systematic shifts from Currier A to Currier B: Indicating structural rather than purely linguistic variation (You are not allowed to view links. Register or Login to view.).
  
• Context-dependent self-similarity: In the video referred to as the "Jon Snow effect" — where similar tokens cluster based on context, not meaning (Timm & Schinner, 2019).
  
• Deep correlation between frequency, similarity, and spatial proximity — suggesting an underlying, systematic process.
  
• A single network of similar word forms: Rather than distinct semantic word groups (Timm & Schinner, 2019).
  
• Random walk-like statistical behavior and long-range correlations: Pointing to structural generation processes (Schinner, 2007).
  
• Lines function as structural units: Indicating layout awareness during writing (Currier, 1976).
  
• Absence of semantic categories (e.g., nouns vs. verbs): Unlike any known natural language.
  
• No identifiable function words: There are no evenly distributed common words unlike in natural languages.
  
• No evidence of word roots: Suggesting tokens were generated without a typical linguistic base.
  
• No corrections or deleted sequences: Remarkably clean for a document of this complexity.
  
• Line-endings fit precisely into available space: Strongly implying layout was planned during writing.
  

Given these observations, it's essential to weigh possible explanations:

• Natural language? The evidence conflicts with this.
  
• Cipher? The structure and self-similarity raise major doubts.
  
• A text generated by self-citation? From my viewpoint, the "self-citation" algorithm has the potential to resolve all of these seeming contradictions.