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Channel
东莞修车大队公开榜
@dongguangongkaibang
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
27,692subscribers
+12,652 since we began measuring on 14 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
Register entry
| Telegram ID | -1002345531587 |
|---|---|
| Type | Channel |
| Username | @dongguangongkaibang |
| Description | 交流群:https://t.me/dongguanxiuchedadui |
| Created | Between 1 September 2024 and 31 March 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 14 August 2026 |
| Last confirmed live | 17 September 2026 |
| Measurements held | 25 |
| Confirmed unchanged | 1 time, most recently 17 September 2026 |
| On Telegram | t.me/dongguangongkaibang |
Topic
Other / unclassifiable — 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 59% 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 |
|---|---|---|
| 17 Sept 2026, 20:56 | 27,692 | +1,076 |
| 15 Sept 2026, 17:54 | 26,616 | +499 |
| 14 Sept 2026, 04:38 | 26,117 | +582 |
| 12 Sept 2026, 15:55 | 25,535 | +831 |
| 10 Sept 2026, 13:20 | 24,704 | +1,513 |
| 7 Sept 2026, 05:58 | 23,191 | +1,191 |
| 4 Sept 2026, 11:21 | 22,000 | +296 |
| 2 Sept 2026, 21:54 | 21,704 | +236 |
| 1 Sept 2026, 22:58 | 21,468 | +251 |
| 1 Sept 2026, 01:48 | 21,217 | +354 |
| 31 Aug 2026, 01:36 | 20,863 | +343 |
| 30 Aug 2026, 05:09 | 20,520 | +608 |
| 29 Aug 2026, 02:33 | 19,912 | +251 |
| 28 Aug 2026, 02:38 | 19,661 | +403 |
| 26 Aug 2026, 23:25 | 19,258 | +455 |
| 26 Aug 2026, 01:23 | 18,803 | +301 |
| 24 Aug 2026, 23:54 | 18,502 | +466 |
| 23 Aug 2026, 08:54 | 18,036 | +683 |
| 21 Aug 2026, 22:06 | 17,353 | +474 |
| 20 Aug 2026, 17:06 | 16,879 | first reading |
Engagement
23 posts held, back to 31 July 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 43 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 6.97%
- avg views ÷ 27,692 subscribers
- Avg views / post
- 1,930
- 11 posts measured
- Reaction rate
- 0.056%
- reactions ÷ views · ER floor
- Posts in window
- 11
- of 23 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 11 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 24 September 2026 |
|---|---|
| Posts held | 23 (31 July 2026 – 24 September 2026) |
| Views total | 21,246 |
| Reactions total | 1 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 24 Sept 2026, 19:21 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
- ≈1,000
- Videos
- ≈177
- Links
- ≈228
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
- 2m 34s
- Average length
- 12s
Measured directly from 13 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 2 distinct kinds. The most used accounts for 75.0% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 3 | 75.0% | |
| 🙏 | 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 3 of the 23 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 23 most recent posts we hold, published 31 July 2026 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
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🙋🏻♀️南城安安、幕南 ☎️ 联系方式 电报:@hjjjhhjjbj 频道:https://t.me/Jjkkhhhkjhh 🏷 分类标签 #南城 ✳️ 机器人:@ananmuna_bot @dongguanxiuchedadui
Showing the 12 most recent of 23 posts we hold for @dongguangongkaibang. 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
Names
Channels on the register whose handles appear in this channel's posts.
@dongguanxiuchedadui · 43,6294 posts东莞惠州顶级丝足口爆会所TOP1
@dongguanhuizhou999 · 5,5442 posts东莞塘厦姐妹团公开榜
@hhfyjjbv5858 · 34,3342 posts叶子楣的小屋🏠
@ABC168BB · 5951 post山鸡深圳中高端 大圈
@Bdhjfvf88 · 4,5511 post安安慕南专属男宠宝贝们的小家
@Jjkkhhhkjhh · 4,4491 post全国莞式全套会所
@mili0289 · 11 post揭阳盼盼的小花园
@qian82 · 1221 post东莞惠州94会所海选专场
@Qqm666888 · 2,9001 post塘厦🌸欣欣🌸🉑🐍
@r65444 · 5311 post东莞裸身抚触抓龙筋SPA
@szchujianSPA · 8,1891 post山鸡东莞市区高端看图💒可外
@TMXBBX · 1,2171 post青青的频道
@xxxbbb998 · 461 post颜兮的后花园
@yanxi111223 · 671 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 17 September 2026 — this entry's latest reading, not the date you are reading this.
“东莞修车大队公开榜” (@dongguangongkaibang), 27,692 subscribers as measured 17 September 2026. Telegram Register, tgregister.com/channel/dongguangongkaibang.
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.