Guest
🔷 September 13, 2025 Update on the Status of the Proof of the Riemann Hypothesis __________________________________________ Interpretation of the Environment’s Reaction. Brief notes: The rating is not an «evaluation of the author», but rather the environment’s feedback to the publication. The information clearly separates the data (figures, dates, percentages) from any incorrect interpretations, since the data are presented in the context of the laws of Gauss and Pareto. Any reasonable and educated person can see that the figures are embedded in the model, not hanging in the air. Purpose of these notes: - To eliminate grounds for speculation and false interpretations. - To ensure evidentiary value, because the interpretation is linked to fundamental laws, and not presented as the «author’s opinion». - To make the material self-sufficient: even a fragment taken out of context will still contain both the data and their scientific reference. ___________________________________________ Formula of Movement According to Gauss in the Evidentiary Model 1. Initial Position: The system records the author in the «mass zone» of the distribution — the area beyond 3σ, where values are statistically insignificant and carry no unique weight. This is the starting point from which measurable movement begins. Between 3σ and 2σ, the statistics are significant and insignificant individually. 2. Entry into the 2σ Range: Transition into the zone covering approximately % of the distribution. This is the exit from the noise background and entry into the area of values where changes already belong to general statistics and form the base. 📌 Marker: . 3. Entry into the 1σ Range: The central zone of the distribution (~% of values). In the model, this is the core of the norm, where stable and system-forming indicators are located. 📌 Marker: . 4. Focus within the 1σ Range on the Pareto Principle (80/20): Integration of the statistical languages of Gauss and Pareto. Entry into the top 20% — the elite zone that generates the main value. 📌 Marker: . 5. Data Blocking Event: Reaching a level at which the system stops displaying individual indicators while maintaining overall statistics. This is the system’s reaction to reaching a critical point at which transparency ceases to be beneficial to external actors. 📌 Marker: . Meaning of the Formula: The Gaussian curve is used not to describe random fluctuations, but as a structural scale of progress, where each zone represents a qualitatively new level of interaction with the system. Dates and percentages become indisputable time markers embedded in the evidentiary base, which can be presented at any moment. __________________________________________ #mdart_инфо #riemann_hypothesis #гипотеза_римана #mdart_измерения #лицензия369 #MDcomponent
