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Channel
苏州茶馆公告榜
@szcgfl
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Posts edited after publishing · Posts recorded as deleted · Citations · Handles named that no longer answer · Cite this entry
17,601subscribers
+4,038 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 | -1002319708271 |
|---|---|
| Type | Channel |
| Username | @szcgfl |
| Created | Between 1 September 2024 and 31 March 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 4 November 2026 |
| Measurements held | 60 |
| Confirmed unchanged | 1 time, most recently 4 November 2026 |
| On Telegram | t.me/szcgfl |
Topic
Gambling & betting — 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 97% 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 |
|---|---|---|
| 4 Nov 2026, 21:58 | 17,601 | +74 |
| 3 Nov 2026, 19:57 | 17,527 | +60 |
| 2 Nov 2026, 20:28 | 17,467 | +36 |
| 1 Nov 2026, 19:28 | 17,431 | +11 |
| 31 Oct 2026, 20:48 | 17,420 | -11 |
| 30 Oct 2026, 22:48 | 17,431 | -23 |
| 29 Oct 2026, 23:29 | 17,454 | -6 |
| 28 Oct 2026, 23:09 | 17,460 | +1 |
| 27 Oct 2026, 19:57 | 17,459 | +110 |
| 26 Oct 2026, 21:06 | 17,349 | +28 |
| 25 Oct 2026, 19:07 | 17,321 | +23 |
| 24 Oct 2026, 22:36 | 17,298 | +84 |
| 23 Oct 2026, 22:08 | 17,214 | +35 |
| 22 Oct 2026, 23:08 | 17,179 | +86 |
| 21 Oct 2026, 22:07 | 17,093 | +140 |
| 20 Oct 2026, 18:16 | 16,953 | +63 |
| 19 Oct 2026, 16:27 | 16,890 | +52 |
| 18 Oct 2026, 15:37 | 16,838 | +56 |
| 17 Oct 2026, 18:30 | 16,782 | -22 |
| 16 Oct 2026, 18:27 | 16,804 | first reading |
Engagement
124 posts held, back to 11 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 62 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 5.75%
- avg views ÷ 17,601 subscribers
- Avg views / post
- 1,010
- 21 posts measured
- Reaction rate
- 0.088%
- reactions ÷ views · ER floor
- Posts in window
- 21
- of 124 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 5 of 21 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 3 November 2026 |
|---|---|
| Posts held | 124 (11 July 2026 – 3 November 2026) |
| Views total | 21,264 |
| Reactions total | 4 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 4 Nov 2026, 16:53 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
- 12s
- Average length
- 12s
Measured directly from 1 video 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
71 reactions across 39 posts, in 3 distinct kinds. The most used accounts for 93.0% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 66 | 93.0% | |
| 👍 | 4 | 5.63% | |
| 🥰 | 1 | 1.41% |
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 58 of the 124 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 71 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 124 most recent posts we hold, published 11 July 2026 to 3 November 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
Telegram’s own ‘edited’ marker: 5 of 21 posts held from the last 30 days (23.8%) 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).
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Showing the 12 most recent of 124 posts we hold for @szcgfl. 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
@szcgfl edited 2 posts 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
- 17 August 2026
- Most recent edit
- 4 November 2026
Posts recorded as deleted after publishing
We recorded 7 posts on @szcgfl 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
- 19 August 2026
- Most recent seen missing
- 3 November 2026
- Median time before seen missing
- 29 hours
- Seen missing in the last 30 days
- 1
Forward network
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
Republishes
Channels on the register whose posts this channel has forwarded.
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 16 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.
@SZNJHCB · 112,52865 postsLotteryBest精选推荐
@lotterybestnav · 167,51731 postsLotteryBest抽奖导航
@lotterynav · 192,52522 posts福利频道 点击进入可私信深情!
@chaguanfuli · 14,5098 posts茶馆精品榜推荐
@CGjpbd · 19,7852 posts相城醉心池公开频道
@mmaoSpa · 26,3202 posts金 芮 ☺️☺️☺️空间
@jinbina18 · 1,3811 post蜜柚公开频道
@mwgeqs · 2,7831 post蕴柔·SPA老师频道
@qinlanSPA · 1,4631 post苏州白金翰spa全裸5推
@suzhoubaijinhang · 52,4261 post苏州瓜房TG树洞(自动投稿)
@suzhouguaguagua · 8,0451 post苏州橙C高端女仆排班表
@sz_cc_work · 11,5191 post苏州春日萌排班表
@szcrmpbb333 · 5981 post闻香阁选妃频道
@weihdhh · 1,3001 post吴江-栖云谷☁日常出勤
@Wjtiantiantian · 1,0691 post苏州相城莞式服务天花板
@xcspathb1 · 1,4551 post
Names
Channels on the register whose handles appear in this channel's posts.
@LotteryBestBot · 108,71833 posts苏州茶馆
@szcgll · 59,29129 posts极搜🔍资源搜索@JISOU
@jisou2 · 2,393,1126 posts茶馆精品榜推荐
@CGjpbd · 19,7852 posts水墨坊公开频道
@fdbbe · 2,9632 posts吴江水墨坊全裸四推
@hsbwgj · 3,6532 posts苏州YouMao私影陪玩恋爱体验🌸
@suzhouyoumao92 · 6,7622 posts昆山尤米um女仆交流群
@sz_meta_chat · 1,8742 posts昆山尤米uim高端女仆排班表
@sz_meta_work · 1,1862 posts苏州YouMao·有猫私影女仆陪玩交流群
@Youmaosiying · 11,1342 posts相城桃息全裸四推
@bitfwgq · 8,1651 post相城蜜柚全裸SPA
@hekswa · 2,7801 post蜜柚公开频道
@mwgeqs · 2,7831 post蕴柔·SPA
@qinlanfacaiSPA · 4,0791 post蕴柔·SPA老师频道
@qinlanSPA · 1,4631 post苏州白金翰(复活版)(常熟-苏州-吴江-昆山-嘉兴)
@suzhoubaijinhanfuhuoban · 30,7261 post苏州橙C高端女仆探讨基地
@sz_cc_chat · 2,7791 post苏州橙C高端女仆排班表
@sz_cc_work · 11,5191 post苏州春日萌排班表
@szcrmpbb333 · 5981 post苏州商K大群·拼团·自定交流
@SZKFKTV · 10,5211 post苏州天花板夜猫女仆相册
@szymsymmk · 2,4221 post苏州夜猫女仆mmk私影恋爱馆
@szymsymmk1 · 2,2141 post苏州吴江☁栖云谷SPA
@Wjtiantiant · 1,9861 post隐意选妃相册与评价
@yrbtkw · 1,2481 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
@szcgfl 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 2 posts, 30 August 2026 – 31 August 2026 · confirmed gone 12 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 4 November 2026 — this entry's latest reading, not the date you are reading this.
“苏州茶馆公告榜” (@szcgfl), 17,601 subscribers as measured 4 November 2026. Telegram Register, tgregister.com/channel/szcgfl.
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.