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Channel
惠州高端资源榜
@huizhsbang8899
On this record: Topic · Growth · Engagement · What this channel posts · Posts · Posts recorded as deleted · Citations · Handles named that no longer answer · Cite this entry
33,861subscribers
+15,071 since we began measuring on 14 August 2026
Risers and fallers across the register · movement among entries of 31,623–100,000.
Register entry
| Telegram ID | -1003733231646 |
|---|---|
| Type | Channel |
| Username | @huizhsbang8899 |
| Description | 惠州交流大群 https://t.me/HZHSJLQ 上榜专员: @msbzhusbot |
| Created | Between 1 February 2026 and 27 July 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 14 August 2026 |
| Last confirmed live | 7 November 2026 |
| Measurements held | 55 |
| Confirmed unchanged | 1 time, most recently 7 November 2026 |
| On Telegram | t.me/huizhsbang8899 |
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 56% 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 the other topics.
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 7 Nov 2026, 18:57 | 33,861 | +191 |
| 6 Nov 2026, 16:15 | 33,670 | +439 |
| 5 Nov 2026, 13:55 | 33,231 | +237 |
| 4 Nov 2026, 11:07 | 32,994 | +327 |
| 3 Nov 2026, 07:45 | 32,667 | +255 |
| 2 Nov 2026, 06:34 | 32,412 | +175 |
| 1 Nov 2026, 06:56 | 32,237 | +386 |
| 31 Oct 2026, 07:45 | 31,851 | +311 |
| 30 Oct 2026, 09:16 | 31,540 | +266 |
| 29 Oct 2026, 12:07 | 31,274 | +322 |
| 28 Oct 2026, 10:16 | 30,952 | +281 |
| 27 Oct 2026, 07:19 | 30,671 | +182 |
| 26 Oct 2026, 10:49 | 30,489 | +238 |
| 25 Oct 2026, 11:40 | 30,251 | +120 |
| 24 Oct 2026, 14:45 | 30,131 | +176 |
| 23 Oct 2026, 15:27 | 29,955 | +116 |
| 22 Oct 2026, 18:47 | 29,839 | +151 |
| 21 Oct 2026, 16:56 | 29,688 | +117 |
| 20 Oct 2026, 13:48 | 29,571 | +209 |
| 19 Oct 2026, 13:35 | 29,362 | first reading |
Engagement
33 posts held, back to 27 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 125 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 3.15%
- avg views ÷ 33,861 subscribers
- Avg views / post
- 1,070
- 8 posts measured
- Reaction rate
- —
- this channel exposes no reaction counts
- Posts in window
- 8
- of 33 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.
| Window | Rolling 30 days · latest post in window 6 November 2026 |
|---|---|
| Posts held | 33 (27 July 2026 – 6 November 2026) |
| Views total | 8,520 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 8 Nov 2026, 21:57 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
- Photos
- 65
- Videos
- 8
- Links
- 17
Lifetime counters from Telegram’s own channel header, read 8 November 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.
- Video runtime
- 1m 20s
- Average length
- 8s
Measured directly from 10 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
Telegram’s own ‘edited’ marker: 0 of 8 posts held from the last 30 days (0%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).
SOSO 搜搜 把 Telegram 搜索和发现放在一个入口。 想继续找频道、群组、帖子或贴纸,直接输入关键词。 也可以从发现页继续浏览同类入口。 🔗 本频道专属邀请链接 https://t.me/soso?start=autopromo_-1003733231646_8075513566_soso_830c3a86
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Showing the 12 most recent of 33 posts we hold for @huizhsbang8899. 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 recorded as deleted after publishing
We recorded 4 posts on @huizhsbang8899 as deleted — posts this register held that were missing from the channel’s public page on two separate reads, taken from different network addresses at least an hour apart.
A deletion is not wrongdoing. This register can see that a post it held is no longer on the channel’s public page, and when — not why. Expired ad placements, reposts, rotating links and corrections all look the same. This is a count of recorded detections, not an exact total: it misses deletions we could not see, because only a post we held and later re-read inside the page can be seen to go, and it may include a small number of wrong records. How this is measured.
- First seen missing
- 20 August 2026
- Most recent seen missing
- 26 September 2026
- Median time before seen missing
- 25 days
- Seen missing in the last 30 days
- 0
Mentions
Names
Channels on the register whose handles appear in this channel's posts.
@LuoTian8989 · 33,5124 posts惠城全裸94会所
@Hhuich · 2233 posts惠州惠城惠东博罗会所资源榜
@huizhouanmotuiyou · 7,4753 posts惠州·惠城会所报告库❤️
@langtian888999 · 1,3453 posts惠州精品Spa-选妃相册
@LQ96211 · 19,7693 posts惠城旗舰店 真实照片
@Mushu8899 · 5813 posts惠城麦地总店 真实照片
@muxispa · 6873 postsSOSO搜搜
@sooo · 484,7952 posts安琪私房照
@anqidsfz555 · 691 post惠州(出勤)报告榜
@baogao1515 · 2391 post兜儿的朋友圈
@Dedpyq521 · 3071 post乖乖的朋友圈
@Ggdpyq666 · 601 post小冉吖的朋友圈
@Rmspa8 · 2651 postSOSO搜搜
@sososo · 585,3761 postSOSO搜搜
@souso · 581,4921 post小不点的朋友圈
@xbudian · 1061 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.
Handles this channel named that no longer answer
- Dead references
- 1
- handles named in this channel’s posts, vacant today
- Evidenced gone
- 1
- we ourselves saw one of these resolve, at some point
- Never seen alive
- 0
- vacant every time we have ever looked
@huizhsbang8899 named 1 handle that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all. A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
Evidenced gone
We ourselves saw each of these resolve to a real page at some point before it went vacant — a genuine, evidenced change, not an inference from absence.
named in 1 post, 30 September 2026 – 30 September 2026 · confirmed gone 27 October 2026 (two independent sightings — see how we confirm a dead handle)evidenced
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 7 November 2026 — this entry's latest reading, not the date you are reading this.
“惠州高端资源榜” (@huizhsbang8899), 33,861 subscribers as measured 7 November 2026. Telegram Register, tgregister.com/channel/huizhsbang8899.
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.