#舔狗 不得了了

Channel
嫦娥吃西瓜🍉吃瓜频道
@cgyl18
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
11,673subscribers
+1,944 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 | -1003933987961 |
|---|---|
| Type | Channel |
| Username | @cgyl18 |
| Created | Between 1 April 2026 and 7 August 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 18 September 2026 |
| Measurements held | 22 |
| Confirmed unchanged | 1 time, most recently 18 September 2026 |
| On Telegram | t.me/cgyl18 |
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 11 September 2026 and assigned it the closest of 31 fixed categories, at 96% 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
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 18 Sept 2026, 20:37 | 11,673 | -280 |
| 16 Sept 2026, 11:38 | 11,953 | -327 |
| 14 Sept 2026, 16:39 | 12,280 | +3,262 |
| 11 Sept 2026, 11:40 | 9,018 | -631 |
| 7 Sept 2026, 00:19 | 9,649 | -498 |
| 4 Sept 2026, 06:59 | 10,147 | -110 |
| 2 Sept 2026, 21:07 | 10,257 | -208 |
| 1 Sept 2026, 20:26 | 10,465 | -105 |
| 31 Aug 2026, 19:26 | 10,570 | -3 |
| 30 Aug 2026, 21:26 | 10,573 | -190 |
| 29 Aug 2026, 22:06 | 10,763 | -244 |
| 28 Aug 2026, 20:13 | 11,007 | -247 |
| 27 Aug 2026, 23:33 | 11,254 | -153 |
| 26 Aug 2026, 23:43 | 11,407 | -191 |
| 26 Aug 2026, 01:16 | 11,598 | -223 |
| 25 Aug 2026, 00:16 | 11,821 | +5,871 |
| 21 Aug 2026, 17:37 | 5,950 | -2,109 |
| 18 Aug 2026, 06:12 | 8,059 | -676 |
| 15 Aug 2026, 00:14 | 8,735 | -590 |
| 11 Aug 2026, 10:06 | 9,325 | first reading |
Engagement
261 posts held, back to 7 August 2026 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 28 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 0.183%
- avg views ÷ 11,673 subscribers
- Avg views / post
- 21.4
- 105 posts measured
- Reaction rate
- 6.25%
- reactions ÷ views · ER floor
- Posts in window
- 105
- of 261 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 1 of 105 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 29 August 2026 |
|---|---|
| Posts held | 261 (7 August 2026 – 29 August 2026) |
| Views total | 2,242 |
| Reactions total | 3 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 29 Aug 2026, 11:20 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
- 2h 38m
- Average length
- 42s
Measured directly from 229 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
4 reactions across 2 posts, in 3 distinct kinds. The most used accounts for 50.0% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 😁 | 2 | 50.0% | |
| ❤ | 1 | 25.0% | |
| 🌚 | 1 | 25.0% |
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 2 of the 261 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 4 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 261 most recent posts we hold, published 7 August 2026 to 29 August 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
大爷:发生肾么事啦?
和 #洋麻雀 合影了好开心 #黑人 #集锦 #亚洲马桶 #easygirl
三点 #砸店 有备而来
游泳 #水炮 两不误 😆 人多刺激
尼泊尔洪灾,民众从绝望到脱险。
两个都是狠人,一个敢拔一个敢让牙哥狠,钳哥更狠,狠狠省了800元 拔牙
直击吉隆口岸泥石流救援现场,消防救援队伍采用“水陆空”并进模式开展抢险作业 陆路派遣两支消防救援分队翻山越岭挺进受灾核心区,水域依托橡皮艇编队沿河道深入灾区,空中运用大载重无人机投送救援人员实施作业;国家综合性消防救援队伍同步利用绳索开展横渡救援,共计680余名消防队员投入现场救援,争分夺秒开展搜救处置工作。
今天下午,尼泊尔 Bhotekoshi 河的最新视频显示,水流依旧很大。
俄罗斯“沙赫德”无人机袭击了基辅地区的维什涅韦,击中了住宅区和高层建筑旁的停车场。
耻辱合影 8月26日,四川凉山雷波县被曝在2026年秋季教育行政会上,将小学期末考试平均成绩30分以下的教师召集上台合影,会议大屏背景赫然印有“耻辱”二字。网传照片显示,台上站立约30人。 8月28日,凉山州教体局工作人员回应称,照片属实并非后期 #P图 伪造,并表示“照片我们看到后也不理解”,事件的缘由正在核查调查中。雷波县教体局表示将就此发布通报,其他暂不便回应。
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Showing the 12 most recent of 261 posts we hold for @cgyl18. 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.
Mentions
Named by 4 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.
@dylsc18 · 11,13235 posts海外商务大业绩🎓(话术,流程,模式)➕➕
@ttttt106 · 4,58035 posts🔞夜间情欲👅快乐天堂
@yjqy18 · 11,61835 posts大月亮🌙美国夜班精英主导资源交流群
@zljaq · 31,54533 posts灰产快讯大事件📍
@hcdashijian · 9,60130 postsU8宣传频道
@u8guoji889 · 23 posts大月亮超级奖励发放频道💰
@dyljlpd · 2262 posts8G.com
@tg8g · 32,5982 posts内涵搞笑🫥
@chiguahs · 110,0221 post
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 18 September 2026 — this entry's latest reading, not the date you are reading this.
“嫦娥吃西瓜🍉吃瓜频道” (@cgyl18), 11,673 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/cgyl18.
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.