Telegram RegisterThe public register of Telegram

Channel

【R%精品】猎奇黑幕吃瓜

@klcjg

On this record: Growth · Engagement · What this channel posts · Posts · Citations · Cite this entry

15subscribers

+0 since we began measuring on 6 August 2026

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

Register entry

Telegram ID-1003902450803
TypeChannel
Username@klcjg
CreatedBetween 1 April 2026 and 31 July 2026— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded11 August 2026
Last confirmed live11 August 2026
Measurements held2
On Telegramt.me/klcjg

Growth

156 August 2026 — 15 subscribers11 August 2026 — 15 subscribers6 August 202611 August 2026
2 measurements spanning 5 days. 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 14–16 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
11 Aug 2026, 22:4615no change
6 Aug 2026, 19:5115first reading

Engagement

12 posts held, back to 11 August 2026the 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.

ERR · 30 days
13.3%
avg views ÷ 15 subscribers
Avg views / post
2.0
12 posts measured
Reaction rate
this channel exposes no reaction counts
Posts in window
12
of 12 held

ERR is average views per post over the last 30 days divided by subscribers, the definition TGStat uses, so this figure is comparable with the one you will see elsewhere. It falls structurally as a channel grows: a high ERR on a small channel and a low one on a large channel describe reach mathematics, not quality. We publish the figure and the sample it came from and pass no verdict on it.

ER is defined industry-wide as (forwards + reactions + comments) ÷ views— note the denominator is views, not subscribers. Telegram’s public web preview carries views and reactions but not forward or comment counts, so the reaction rate above is the reactions term only and is therefore a floor: the true ER for this channel is higher by an amount we have not measured and will not estimate.

What these figures were computed from
WindowRolling 30 days · latest post in window 11 August 2026
Posts held12 (11 August 202611 August 2026)
Views total24
Reactions total
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken11 Aug 2026, 22:46 UTC

Views are a single reading per post, taken at the time above. A post published in the last day or two is still accumulating views, which pulls the 30-day average down slightly. That is a property of the standard definition rather than a fault in it, so we keep the definition rather than “correcting” the number into something nobody can reproduce.

Precision. Telegram publishes view counts on its public widget in short form — 8.12K, 3.7M — so any reading at or above 1,000 reaches us rounded to three significant figures, and only counts below 1,000 are exact. Averages and rates derived from them are shown to the same precision rather than to the unit: a figure like 3,701,250 would assert digits nobody measured.

Reaction counts are published per emoji and rounded the same way, so a total below 1,000 is exact and a larger one is a sum that may carry a rounded component from each emoji above 1,000. Because it is a sum, it does not look rounded — read a large reaction total as three significant figures per contributing emoji rather than as the figure it prints.

What this channel posts

Photos
4,830
Videos
5,830
Links
7

Lifetime counters from Telegram’s own channel header, read 11 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.

Video runtime
9m 13s
Average length
55s

Measured directly from 10 videos with a duration reading, out of the posts we hold for this channel — not this channel’s whole posting history, only the sample this register has actually read. An exact reading to the second, taken from the post itself rather than from Telegram’s own rounded chrome, so it carries no mark.

Recent posts

11 Aug 2026, 16:40 UTC2 viewsread 11 August 2026
Video

#淄博 #酒驾 15日(发布)山东淄博 警察查酒驾 男司机极不配合 该男子借用中国古老尿遁术逃跑 后被抓回…

11 Aug 2026, 16:39 UTC2 viewsread 11 August 2026
Video

四川男子杀母骗保案 2017年11月29日 付白莲 在 广州 上班,为其在四川自贡市沿滩区家中居住的母亲宋某购买了一份人身意外伤害险,保额为40万人民币。2018年3月9日,付白莲购买机票飞到成都,然后打车潜回自贡,次日凌晨1点过抵家。3月10日凌晨时分,付白莲谎称给母亲买了按摩器,让她坐在板凳上按摩一下。随后,他把电线缠在母亲身上并接通电源。当母亲宋某出现抽搐和呻吟后,为防止其呻吟,付白莲拿起一根板凳持续打击其头部和面部,最终导致宋某死亡。之后,为了制造母亲使用电器意外死亡的假象,付白莲将母亲尸体拖至一楼厨房,并擦掉血迹。2018年3月10日早上7时许,家人发现宋某躺在一楼厨房,已经身亡,随后报警。

11 Aug 2026, 16:38 UTC2 viewsread 11 August 2026
Video

一看也是个不值钱的货 ,都知道你在北京干这个了。

11 Aug 2026, 16:38 UTC2 viewsread 11 August 2026
Video

辽宁沈阳,看样子女生不减肥是对的,优势

11 Aug 2026, 16:36 UTC2 viewsread 11 August 2026
Video

11.15/今早,牡丹江,牡海大桥(海林方向),,大雾结冰,引发连环多车相撞!

11 Aug 2026, 16:35 UTC2 viewsread 11 August 2026
Video

江西南昌某餐饮店内,这女的带狗进餐厅吃饭,然后这大哥就一直说狗碰到他身上,然后双方发生争执,大哥扬言要宰了这狗。

Showing the 12 most recent of 12 posts we hold for @klcjg. 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 — 798,277 of 1,169,250entries 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 15 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.

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 11 August 2026 — this entry's latest reading, not the date you are reading this.

“【R%精品】猎奇黑幕吃瓜” (@klcjg), 15 subscribers as measured 11 August 2026. Telegram Register, tgregister.com/channel/klcjg.

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.