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Channel
深圳欢乐谷【公开榜】
@HLGGB
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Posts edited after publishing · Citations · Cite this entry
21,105subscribers
+4,303 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
Register entry
| Telegram ID | -1002755157491 |
|---|---|
| Type | Channel |
| Username | @HLGGB |
| Created | Between 1 June 2025 and 31 August 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 17 September 2026 |
| Measurements held | 33 |
| Confirmed unchanged | 1 time, most recently 17 September 2026 |
| On Telegram | t.me/HLGGB |
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 75% 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, 21:01 | 21,105 | +207 |
| 15 Sept 2026, 16:16 | 20,898 | +119 |
| 13 Sept 2026, 23:39 | 20,779 | +102 |
| 12 Sept 2026, 09:00 | 20,677 | +77 |
| 10 Sept 2026, 04:17 | 20,600 | +277 |
| 6 Sept 2026, 23:41 | 20,323 | +122 |
| 4 Sept 2026, 11:40 | 20,201 | +114 |
| 2 Sept 2026, 23:39 | 20,087 | +70 |
| 1 Sept 2026, 23:45 | 20,017 | +63 |
| 31 Aug 2026, 20:13 | 19,954 | +114 |
| 30 Aug 2026, 19:44 | 19,840 | +175 |
| 29 Aug 2026, 18:08 | 19,665 | +117 |
| 28 Aug 2026, 20:35 | 19,548 | +146 |
| 27 Aug 2026, 21:14 | 19,402 | +165 |
| 26 Aug 2026, 18:14 | 19,237 | +85 |
| 25 Aug 2026, 18:23 | 19,152 | +105 |
| 24 Aug 2026, 18:16 | 19,047 | +203 |
| 23 Aug 2026, 05:16 | 18,844 | +233 |
| 21 Aug 2026, 14:27 | 18,611 | +124 |
| 20 Aug 2026, 12:18 | 18,487 | first reading |
Engagement
95 posts held, back to 6 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 59 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 1.44%
- avg views ÷ 21,105 subscribers
- Avg views / post
- 304
- 27 posts measured
- Reaction rate
- 0.286%
- reactions ÷ views · ER floor
- Posts in window
- 27
- of 95 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 7 of 27 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 2 September 2026 |
|---|---|
| Posts held | 95 (6 August 2026 – 2 September 2026) |
| Views total | 8,205 |
| Reactions total | 7 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 3 Sept 2026, 00:57 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
- 8m 43s
- Average length
- 10s
Measured directly from 51 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
28 reactions across 20 posts, in 4 distinct kinds. The most used accounts for 75.0% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 21 | 75.0% | |
| 💩 | 5 | 17.9% | |
| 👏 | 1 | 3.57% | |
| 🤮 | 1 | 3.57% |
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 27 of the 95 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 28 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 95 most recent posts we hold, published 6 August 2026 to 2 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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❤1
Showing the 12 most recent of 95 posts we hold for @HLGGB. 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.
Posts edited after publishing
@HLGGB edited 1 post after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.
An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.
- First edit seen
- 14 August 2026
- Most recent edit
- 14 August 2026
Forward network
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
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 5 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.
@SZHLG1 · 26,87877 posts欢乐谷【报告榜】
@HLGGB1 · 4,82076 posts深圳欢乐谷精选轮播
@SZHLGB · 12,89076 postsLotteryBest Bot
@LotteryBestBot · 99,1837 posts深圳外围、深圳修车《时光中圈》
@szxc1314 · 9803 posts时光深圳大圈、广州大圈 全国资源
@szxc520 · 3,4633 posts深圳罗湖区95海选会所
@doumen10198 · 4,7742 posts福田健身达人 Lulu
@LuLudengnilai · 2,9092 posts深圳宝安吉伊抓龙筋丝足SM
@szbajypd · 4,4752 posts深圳库洛米嫩妹丝足抓龙筋SM⭕️
@szklmgp · 10,7942 posts深圳龙华库洛米抓龙筋丝足SM
@szkuluomipd · 9,8412 posts深圳福田美乐蒂抓龙筋丝足SM
@szmldpd · 6,5882 posts深圳南山毛毯熊抓龙筋丝足SM
@szmtxpd · 3,6912 posts深圳南山05后半裸丝足抓龙筋 玉桂狗店
@szyggpd · 4,2722 posts林汐小花园
@linxi_528 · 1,7351 post深圳南山萌姬小可爱私密照
@mengjixiaokeai · 9,8251 post南山柚柚的小窝
@nsyouyouyou · 6451 post小七私密频道
@qq9952077 · 1,9131 post闪闪的朋友圈
@shanshan8776 · 8651 post萱萱的朋友圈
@shybdk0989 · 4,0151 post深圳夏朵朵|南山女王女奴 sm潮喷 道具💕全国空降🪂
@xiaduoduo2 · 8,1531 post瑶瑶~少妇~御姐
@Yaoyaofuli · 4,2341 post罗湖沅一一❣️❣️舞蹈老师兼职,个人频道
@yiyi4533 · 1,4491 posty
@yy112120 · 1,3131 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.
“深圳欢乐谷【公开榜】” (@HLGGB), 21,105 subscribers as measured 17 September 2026. Telegram Register, tgregister.com/channel/HLGGB.
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.