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Channel

八卦/吃瓜爆料【粉色会🫦】

@fshCHIGUA

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

154subscribers

+2 since we began measuring on 8 August 2026

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

Register entry

Telegram ID-1003376155272
TypeChannel
Username@fshCHIGUA
CreatedBetween 1 November 2025 and 31 March 2026— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded8 August 2026
Last confirmed live24 August 2026
Measurements held4
Confirmed unchanged1 time, most recently 24 August 2026
On Telegramt.me/fshCHIGUA

Growth

1521561548 August 2026 — 152 subscribers8 August 2026 — 152 subscribers16 August 2026 — 156 subscribers24 August 2026 — 154 subscribers8 August 202624 August 2026
4 measurements spanning 16 days, net +2. 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 151–157 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
24 Aug 2026, 13:08154-2
16 Aug 2026, 17:03156+4
8 Aug 2026, 19:17152no change
8 Aug 2026, 11:00152first reading

Engagement

10 posts held, back to 2 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
23.0%
avg views ÷ 154 subscribers
Avg views / post
35.4
10 posts measured
Reaction rate
this channel exposes no reaction counts
Posts in window
10
of 10 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 3 August 2026
Posts held10 (2 August 20263 August 2026)
Views total354
Reactions total
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken8 Aug 2026, 19:17 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

Video runtime
25m 29s
Average length
3m 11s

Measured directly from 8 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

3 Aug 2026, 08:12 UTC49 viewsread 8 August 2026
Video

6月30日 #福清龙田镇东壁岛,龙西中学15岁初二男孩玩水溺水死亡 小孩还是不要玩水 #溺水 👉 安易VPN,永久免费快速安全的VPN

3 Aug 2026, 08:11 UTC34 viewsread 8 August 2026
Photo

农村乱伦 过完年老公出去打工,儿媳勾引70岁公公 ✅进入回复“勾引”查看完整版💋

3 Aug 2026, 08:11 UTC32 viewsread 8 August 2026
Video

【南京大屠杀唯一存世动态影像】 1937年12月至1938年初,美国牧师约翰·马吉用一台16毫米摄影机,秘密拍摄下日军南京大屠杀的珍贵影像。影像成为远东国际军事法庭审判日本战犯的重要证据。每一幕都是不容篡改的侵华罪行

2 Aug 2026, 22:10 UTC30 viewsread 8 August 2026
Photo

#司晓迪 #iamroosie #反差 #母狗 2026内娱超级大瓜! 司晓迪(李汶翰前女友),晒出聊天记录、聚会偷拍、甚至鹿晗“醉酒床照”和私密细节,声称被当玩物导致严重抑郁,瞬间引爆全网,这是真的吗?太牛了呀 👉 🫦粉色会🫦 综合频道

2 Aug 2026, 22:10 UTC27 viewsread 8 August 2026
Video

感觉像两口子生气,女司机在赌气,走错道了还勇往直前 😑

2 Aug 2026, 08:10 UTC38 viewsread 8 August 2026
Photo

#曝知名导演疑似与年轻女子同居 “知名导演疑与年轻女子同居”的话题登上热议,可网友先对“知名导演”这一说法提出质疑,认为涉事人并无知名度。同时有人讨论事件本身,恋爱无伤大雅但婚内出轨便失德,而大家更关注曝光的监控视频疑似偷拍,背后的拍摄者与动机反倒成了更大的疑点。 ​

2 Aug 2026, 08:10 UTC40 viewsread 8 August 2026
Photo

吃瓜大瓜!天津西青区建华医院,天津护士更衣室换衣服视频流出,多名女护士不雅视频被偷拍 #天津护士 #天津医院 #天津建华医院 #护士偷拍

Showing the 10 most recent of 10 posts we hold for @fshCHIGUA. 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 — 1,159,109 of 1,625,404entries 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 1 registered channel — 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.

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

“八卦/吃瓜爆料【粉色会🫦】” (@fshCHIGUA), 154 subscribers as measured 24 August 2026. Telegram Register, tgregister.com/channel/fshCHIGUA.

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.