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Channel

Sibyl System

@SibylSystem

On this record: Growth · Engagement · Posts · Citations · Cite this entry

286subscribers

+0 since we began measuring on 13 August 2026

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID-1001416957680
TypeChannel
Username@SibylSystem
Created25 November 2021measured — dated from the channel’s first post
First recorded13 August 2026
Last confirmed live13 August 2026
Measurements held2
Confirmed unchanged1 time, most recently 13 August 2026
On Telegramt.me/SibylSystem

Growth

28613 Aug 2026, 00:17 — 286 subscribers13 Aug 2026, 04:15 — 286 subscribers13 Aug 2026, 00:1713 Aug 2026, 04:15
2 measurements taken within a single day. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between — snapshots are recorded only when a count changes, so gaps mean “no change observed”, never “interpolated”. The vertical axis spans 285–287 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
13 Aug 2026, 04:15286no change
13 Aug 2026, 00:17286first reading

Engagement

11 posts held, back to 25 November 2021the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 pageof Telegram’s post history, 20 posts per page.

Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 11 posts for this entry, the most recent from 25 November 2021. An engagement rate over an empty window would be a number about nothing.

Recent posts

25 Nov 2021, 09:00 UTC≈16,200 viewsread 13 August 2026
Photo

❖ Index of @SibylSystem • Sibyl System • Crime Coefficient • Flags • Hue • Psycho Hazard • Reporting Cheat Sheet • The Dominator • Unbans and Appeals • API, Tokens and Implementation ___________ Powered by ☠️

25 Nov 2021, 09:00 UTC≈13,100 viewsread 13 August 2026

❖ API, Tokens and Implementation Sibyl allows users to query the database and to gather results of cymatic scans on known criminals and restored users. A detailed documentation and understanding of the API can be gathered by visiting Psycho Pass How do I get my token? PM @SibylRobot All token generations undergo a mandatory Cymatic scan, should your crime coefficient be under 100 you be given a read-access token.

25 Nov 2021, 03:34 UTC≈6,540 viewsread 13 August 2026

❖ Unbans and Appeals on @SibylSystem Appeal system on Sibyl is automated, simply visit @SibylRobot and send /start - Sibyl will respond to you should you be worth restoring as a user. Following cases may require a manual appeal • Crime coefficient is above 600 • Crime coefficient is ranging from 251 to 300 and the short ban reason is set to custom • User is being enforced 2nd time _______ • Index

25 Nov 2021, 03:34 UTC≈6,930 viewsread 13 August 2026

❖ The Dominator The Dominator Portable Psychological Diagnosis and Suppression System (Japanese: 携帯型心理診断鎮圧執行システム Romaji: Keitai-gata shinri shindan chin'atsu shikkō shisutemu)、ドミネーター or 45MW.TRG Dominator is the iconic firearm carried by enlisted Inspection and Enforcement officers of the Public Safety Bureau. This weapon is able to determine the identity of its holder, requiring authentication and wireless connecti

25 Nov 2021, 03:34 UTC≈6,810 viewsread 13 August 2026

❖ Sibyl's Cheat-sheet for Reporting and Enforcing The following must be subject to when enforcing a user as Sibyl Keep these in mind when reporting to Sibyl • Report must follow screenshot(s), links and explanation of the issue • Report must be from a non latent criminal, in short you must not be already Sibyl limited • Report by an enforcer must be validated Users can report the following to Reporting Groups i

25 Nov 2021, 03:34 UTC≈10,700 viewsread 13 August 2026

❖ What is a Psycho-Hazard? A latent criminal's Crime Coefficient can be contagious. A Psycho-Hazard refers to the poisoning of another's Psycho-Pass following exposure to an already dangerous Psycho-Pass. Users that are admin in spam groups or groups that member scrape and add directly are subject to a psycho hazard event, in this case the admins of the group would be subject to enforcement action along with the ow

25 Nov 2021, 03:34 UTC≈13,900 viewsread 13 August 2026

❖ Crime Coefficients - Hue A Hue is a reflection of a person's stress level. Every civilian in Sibyl's database is assigned a specific color depending on the state of their Psycho-Pass. Colors such as light blue or pink indicate a healthy Psycho-Pass, while colors such as medium green or steel blue indicate a deteriorated Psycho-Pass. A clouded hue occurs when stress/spam is consistently present. For example: Spammy

25 Nov 2021, 03:34 UTC≈19,200 viewsread 13 August 2026

❖ Crime Coefficients - Flags Basic required reading for Crime coefficient is listed here Civilian ranked coefficients are listed below, these have no enforcement action against them and are free as a bird! +--------------+-------------+ | Label | Coefficient | +==============+=============+ | Civilian | 010-80 | | Restored | 081-100 | | Enforcer | 101-150 | +--------------+-----------

25 Nov 2021, 03:34 UTC≈23,800 viewsread 13 August 2026

❖ Crime Coefficient A person's Crime Coefficient (Japanese 犯罪係数 Romaji: Hanzai Keisū) is a numerical measure of said person's probability/propensity to commit a crime. It is one part of a person's overall Psycho-Pass. The Public Safety Bureau uses this measurement to determine if a target is a latent criminal or otherwise. It is calculated and determined by the target's stress level (Hue) and other biological readin

25 Nov 2021, 03:32 UTC≈21,100 viewsread 13 August 2026
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Sibyl System The Sibyl System is the name given to a law enforcement organization operated in working in cooperation with the weeb government to manage crime in current century Telegram. It is the sole operator and manager of proprietary hardware and software used to analyze the criminal tendencies of the entire telegram's populace. The Sibyl System established the Public Safety Bureau and rules over its personnel,

Showing the 11 most recent of 11 posts we hold for @SibylSystem. View and reaction counts are the latest single reading for each post, not a live figure, and a recent post is still accumulating both. A view count marked was rounded by Telegram before we ever saw it — t.me prints views in full below 1,000 and to three significant figures above, so ≈1,200,000 means somewhere between 1,150,000 and 1,249,999. Unmarked counts are exact. Text is reproduced from the public post preview and truncated for length.

Citation-graph rank

Citation-graph rank — 863,446 of 1,481,217entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.

Mentions

Named by 2 registered channels — every channel on the register whose own posts have named this one, by its current username or any other username it currently holds, merged from two separately captured readings of the same fact so a namer caught by only one of them is not missed and a namer both caught is not counted twice. A username this channel has since dropped is not matched — that handle may belong to someone else now, and crediting today’s namer to yesterday’s owner would misattribute it.

Named by

Channels on the register whose posts name this channel's handle.

Names

Channels on the register whose handles appear in this channel's posts.

A mention is a weaker signal than a forward and is counted separately for that reason — naming a channel is not republishing it, and a handle in a post body is easy to place deliberately. The post counts beside each row below are distinct posts in which the handle appeared, from posts we have read on both sides — the “Named by N registered channels” figure above is a different count, of distinct NAMING CHANNELS rather than posts, and is not the sum of the rows under it.

Cite this entry

A live page changes as we take new readings, so a citation should name the measurement it is based on, not just the URL. The line below cites the subscriber count as measured 13 August 2026 — this entry's latest reading, not the date you are reading this.

“Sibyl System” (@SibylSystem), 286 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/SibylSystem.

Full measurement history, CC BY 4.0. Every reading this register holds for this entry, not just the latest one, as a dated, downloadable record: CSV · JSON. Free to use with attribution to tgregister.com. Each file carries its own generation timestamp, which is the figure to cite for exactly when the data was retrieved.