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Channel

吃瓜群众 吃瓜娱乐搞笑🔥

@ChiGuaLianMeng

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

27,436subscribers

+37 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1001713401132
TypeChannel
Username@ChiGuaLianMeng
Description🍉 吃瓜一线,快乐加倍! 本频道专注分享娱乐八卦、搞笑趣闻、热门梗图和沙雕日常。 欢迎吃瓜群众一起来摸鱼聊天,吐槽快乐每一天~ ⚠️ 文明吃瓜,友善互动,拒绝引战。 #吃瓜 #娱乐圈 #搞笑视频 #热门梗 #八卦爆料
Created8 April 2022 — measured — dated from the channel’s first post
First recorded7 August 2026
Last confirmed live19 September 2026
Measurements held35
Confirmed unchanged1 time, most recently 19 September 2026
On Telegramt.me/ChiGuaLianMeng

Topic

Memes & entertainment — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 10 September 2026 and assigned it the closest of 31 fixed categories, at 81% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and why it has no browse page of its own yet.

Growth

26,87127,43627,153.57 August 2026 — 27,399 subscribers7 August 2026 — 27,399 subscribers7 August 2026 — 27,376 subscribers8 August 2026 — 27,344 subscribers9 August 2026 — 27,313 subscribers10 August 2026 — 27,274 subscribers11 August 2026 — 27,257 subscribers12 August 2026 — 27,224 subscribers13 August 2026 — 27,209 subscribers15 August 2026 — 27,177 subscribers16 August 2026 — 27,133 subscribers17 August 2026 — 27,097 subscribers18 August 2026 — 27,073 subscribers19 August 2026 — 27,004 subscribers20 August 2026 — 26,965 subscribers21 August 2026 — 26,926 subscribers22 August 2026 — 26,894 subscribers24 August 2026 — 26,871 subscribers25 August 2026 — 26,877 subscribers26 August 2026 — 26,872 subscribers27 August 2026 — 26,873 subscribers28 August 2026 — 26,879 subscribers29 August 2026 — 26,897 subscribers30 August 2026 — 26,888 subscribers31 August 2026 — 26,905 subscribers1 September 2026 — 26,924 subscribers2 September 2026 — 26,918 subscribers4 September 2026 — 26,979 subscribers6 September 2026 — 27,079 subscribers9 September 2026 — 27,145 subscribers11 September 2026 — 27,225 subscribers13 September 2026 — 27,264 subscribers15 September 2026 — 27,329 subscribers17 September 2026 — 27,392 subscribers19 September 2026 — 27,436 subscribers7 August 202619 September 2026
35 measurements spanning 44 days, net +37. 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 26,786–27,521 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 35
Measured (UTC)SubscribersChange
19 Sept 2026, 16:2027,436+44
17 Sept 2026, 04:1827,392+63
15 Sept 2026, 08:0127,329+65
13 Sept 2026, 14:3727,264+39
11 Sept 2026, 21:4127,225+80
9 Sept 2026, 13:5827,145+66
6 Sept 2026, 06:1527,079+100
4 Sept 2026, 02:3626,979+61
2 Sept 2026, 15:5626,918-6
1 Sept 2026, 13:3226,924+19
31 Aug 2026, 10:2326,905+17
30 Aug 2026, 10:2226,888-9
29 Aug 2026, 13:1426,897+18
28 Aug 2026, 13:2826,879+6
27 Aug 2026, 11:5426,873+1
26 Aug 2026, 14:1726,872-5
25 Aug 2026, 12:1326,877+6
24 Aug 2026, 13:5926,871-23
22 Aug 2026, 23:2526,894-32
21 Aug 2026, 15:0726,926first reading

Engagement

485 posts held, back to 8 April 2022 — the reader has reached the start of this channel’s public history, so this is the full archive Telegram still exposes. Read across 63 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
0.152%
avg views ÷ 27,436 subscribers
Avg views / post
41.7
339 posts measured
Reaction rate
1.49%
reactions ÷ views · ER floor
Posts in window
339
of 485 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. It is computed over the 25 of 339 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 24 September 2026
Posts held485 (8 April 2022 – 24 September 2026)
Views total14,134
Reactions total23
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken24 Sept 2026, 04:30 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
≈1,540
Videos
≈3,060
Links
≈559

Lifetime counters from Telegram’s own channel header, read 24 September 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
8h 41m
Average length
1m 23s

Measured directly from 375 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.

Reaction mix

3,503 reactions across 38 posts, in 18 distinct kinds. The most used accounts for 40.3% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤1,41240.3%
👍1,31737.6%
🔥1755.00%
🥰1554.42%
👏1363.88%
👎772.20%
😁712.03%
❤‍🔥501.43%
💩401.14%
💋350.999%
🍌100.285%
😱90.257%
🤔90.257%
🙏30.086%
⚡10.029%
🎉10.029%
🏆10.029%
🤩10.029%

No sentiment is inferred, and none should be read in. This table is ordered by count and by nothing else. Emoji do not carry stable meaning across languages or communities — 🙏 is thanks in one channel and mourning in another — so we publish which ones were pressed and how often, and pass no judgement on what an audience meant by them.

Precision. Telegram publishes reaction counts per emoji and short-forms each one — 4.34K, 1.2M — so any single kind at or above 1,000 reaches us at three significant figures, and only counts below 1,000 are exact. The shares above are ratios of those figures and carry the same error. This is also why the total here can differ slightly from a reaction total printed elsewhere on the page: both are sums of the same rounded parts, taken over samples with different edges.

Coverage. Reactions were read on 45 of the 485 sampled posts in this sample. Summed by Telegram’s own count on each post — not by adding up the per-emoji breakdown above — those same posts carry 3,503 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 485 most recent posts we hold, published 8 April 2022 to 24 September 2026, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.

Recent posts

24 Sept 2026, 03:53 UTC26 viewsread 24 September 2026
Video

#吃瓜 #瑜伽 #美女 美女练瑜伽练的真是游刃有余

24 Sept 2026, 03:36 UTC33 viewsread 24 September 2026
Video

本期关键词:#打飞机 #炸裂 我靠了,别人在军训,他在打飞机!

24 Sept 2026, 03:36 UTC30 viewsread 24 September 2026
Video

#吃瓜 #小米 #裸体 羡慕吗瓜友们,你们想来一次嘛

24 Sept 2026, 03:29 UTC29 viewsread 24 September 2026
Video

本期关键词:#打飞机 #大学生 年轻真好!再让我年轻一回,我也要在教室搞!

24 Sept 2026, 02:32 UTC48 viewsread 24 September 2026
Video

#吃瓜 #小哥 #外卖 暴躁的外卖小哥,送个外卖戾气要这么重吗

24 Sept 2026, 01:58 UTC62 viewsread 24 September 2026
Video

#吃瓜 #美女 #化妆 死女人大白天化妆出门了

24 Sept 2026, 01:36 UTC58 viewsread 24 September 2026
Video

#吃瓜 #慎点 #有鬼 瓜友们,这个女鬼来了快跑!

23 Sept 2026, 23:42 UTC86 viewsread 24 September 2026
Video

#吃瓜 #美女 #清纯 这么清纯的妹子,一会要怜香惜玉了

23 Sept 2026, 23:31 UTC85 viewsread 24 September 2026
Video

#吃瓜 #粗口 #奶子 看个奶子被骂傻逼 ?等会我摸死她

Showing the 12 most recent of 485 posts we hold for @ChiGuaLianMeng. 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.

Forward network

Built only from forwarded posts we have actually read, on both sides. Coverage is early and deliberately incomplete: a missing link means we have not read the post that would prove it, never that the relationship does not exist. Counts are distinct forwarded posts observed, so they only ever go up as we read more.

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 19 September 2026 — this entry's latest reading, not the date you are reading this.

“吃瓜群众 吃瓜娱乐搞笑🔥” (@ChiGuaLianMeng), 27,436 subscribers as measured 19 September 2026. Telegram Register, tgregister.com/channel/ChiGuaLianMeng.

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.