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Channel
苏州茶馆上榜认证
@SZNJHCB
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Posts edited after publishing · Citations · Cite this entry
107,914subscribers
+16,297 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 100,000–316,228.
Register entry
| Telegram ID | -1002663838295 |
|---|---|
| Type | Channel |
| Username | @SZNJHCB |
| Description | https://t.me/szcgll 茶馆大群入口 https://t.me/chaguan666888/20 spa会所直达 |
| Created | Between 1 March 2025 and 31 July 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 19 October 2026 |
| Measurements held | 43 |
| Confirmed unchanged | 1 time, most recently 19 October 2026 |
| On Telegram | t.me/SZNJHCB |
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 9 September 2026 and assigned it the closest of 31 fixed categories, at 93% 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 |
|---|---|---|
| 19 Oct 2026, 22:40 | 107,914 | +276 |
| 18 Oct 2026, 20:38 | 107,638 | +336 |
| 17 Oct 2026, 17:05 | 107,302 | +305 |
| 16 Oct 2026, 18:10 | 106,997 | +350 |
| 15 Oct 2026, 21:44 | 106,647 | +133 |
| 15 Oct 2026, 00:09 | 106,514 | +210 |
| 13 Oct 2026, 17:37 | 106,304 | +1,013 |
| 9 Oct 2026, 23:01 | 105,291 | +584 |
| 5 Oct 2026, 19:01 | 104,707 | +1,349 |
| 30 Sept 2026, 05:00 | 103,358 | +2,864 |
| 18 Sept 2026, 04:57 | 100,494 | +535 |
| 16 Sept 2026, 01:39 | 99,959 | +231 |
| 14 Sept 2026, 08:36 | 99,728 | +102 |
| 12 Sept 2026, 15:41 | 99,626 | -8 |
| 10 Sept 2026, 12:01 | 99,634 | +361 |
| 7 Sept 2026, 07:20 | 99,273 | +363 |
| 4 Sept 2026, 10:41 | 98,910 | +248 |
| 3 Sept 2026, 01:37 | 98,662 | +120 |
| 1 Sept 2026, 21:45 | 98,542 | +153 |
| 31 Aug 2026, 18:25 | 98,389 | first reading |
Engagement
720 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 190 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 2.95%
- avg views ÷ 107,914 subscribers
- Avg views / post
- 3,180
- 267 posts measured
- Reaction rate
- 0.04%
- reactions ÷ views · ER floor
- Posts in window
- 267
- of 720 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 118 of 267 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 20 October 2026 |
|---|---|
| Posts held | 720 (7 August 2026 – 20 October 2026) |
| Views total | 848,920 |
| Reactions total | 173 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 20 Oct 2026, 11:42 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
- ≈8,170
- Videos
- ≈1,360
- Links
- ≈1,560
Lifetime counters from Telegram’s own channel header, read 20 October 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
- 33m 03s
- Average length
- 11s
Measured directly from 187 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
362 reactions across 212 posts, in 12 distinct kinds. The most used accounts for 91.4% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 331 | 91.4% | |
| 👍 | 8 | 2.21% | |
| 👏 | 5 | 1.38% | |
| 👎 | 4 | 1.10% | |
| 💩 | 4 | 1.10% | |
| 🖕 | 4 | 1.10% | |
| ❤🔥 | 1 | 0.276% | |
| 👌 | 1 | 0.276% | |
| 😁 | 1 | 0.276% | |
| 🤮 | 1 | 0.276% | |
| 🤯 | 1 | 0.276% | |
| 🥰 | 1 | 0.276% |
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 267 of the 720 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 362 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 720 most recent posts we hold, published 7 August 2026 to 20 October 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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📊 0条车评,综合评分 老师花名🌸: 可可 老师地区🌎: 姑苏区 服务价格🌕: 500P 1000PP 老师服务🌹: #御姐 #新上老师 📞:点击获取可可联系方式 🤖:双向联系可可 ✍️:给可可写报告 👉👉点击查看茶馆出击无忧 👉👉苏州茶馆主群 👉👉茶馆不担保任何定金!未见到人付课费一定都是骗子!主动私信你的一定是骗子! 👉👉一人一个感受,有人欢喜有人忧,不喜欢请立即掉头! 👉👉如出现过期老师,则为下榜
❤2
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❤1
📊 19条车评,综合评分9.57 老师花名🌸: 晨希 老师地区🌎: 虎丘区 服务价格🌕: 600P 1100PP 老师服务🌹: #69 #制服诱惑 #口爆 #莞式 #深喉#御姐 #服务系 #身材好 #性价比 #兼职 #波霸 📞:点击获取晨希联系方式 🤖:双向联系晨希 ✍️:给晨希写报告 👉👉点击查看茶馆出击无忧 👉👉苏州茶馆主群 👉👉茶馆不担保任何定金!未见到人付课费一定都是骗子!主动私信你的一定是骗子! 👉👉一人一个感受,有人欢喜有人忧,不喜欢请立即掉头! 👉👉如出现过期老师,则为下榜
❤2
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📊 0条车评,综合评分 老师花名🌸: 涵涵 老师地区🌎: 昆山市 服务价格🌕: 600P 1000PP 老师服务🌹: #御姐 #新上老师 📞:点击获取涵涵联系方式 🤖:双向联系涵涵 ✍️:给涵涵写报告 👉👉点击查看茶馆出击无忧 👉👉苏州茶馆主群 👉👉茶馆不担保任何定金!未见到人付课费一定都是骗子!主动私信你的一定是骗子! 👉👉一人一个感受,有人欢喜有人忧,不喜欢请立即掉头! 👉👉如出现过期老师,则为下榜
❤1👎1
Showing the 12 most recent of 720 posts we hold for @SZNJHCB. 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
@SZNJHCB 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
- 16 October 2026
- Most recent edit
- 16 October 2026
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 2 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.
@QiangSbot · 18,412290 posts苏州茶馆
@szcgll · 57,853290 posts苏州茶馆公告榜
@szcgfl · 16,95319 posts苏州全真空商K·高颜值
@lxc19931205 · 20,04312 posts苏州商K大群·拼团·自定交流
@SZKFKTV · 15,80811 posts极搜🔍资源搜索@JISOU
@jisou2 · 2,036,3497 posts相城烁柔全裸SPA
@hekswa · 2,7002 posts烁柔公开频道
@mwgeqs · 2,7522 posts苏州YouMao私影陪玩恋爱体验🌸
@suzhouyoumao92 · 6,8222 posts苏州橙C高端女仆探讨基地
@sz_cc_chat · 2,7412 posts苏州橙C高端女仆排班表
@sz_cc_work · 10,3442 posts苏州吴中高端商务养生会所
@TCYPC1 · 1,9032 posts苏州吴中商务养生会所
@ttyuYHMmi · 1,8702 posts苏州-闻香阁全裸SPA
@weihdbdbh · 1,6812 posts闻香阁选妃频道
@weihdhh · 1,1732 posts苏州YouMao·有猫私影女仆陪玩交流群
@Youmaosiying · 10,0352 posts悦汐•法式联动spa
@yuexi88 · 2,3732 posts苏州抓龙筋 姑苏
@zlj6529 · 4,5842 posts悦汐SPA反馈频道
@zospa001 · 7212 posts苏州抓龙筋 吴中
@hhsuzhou · 1,6411 post吴中全裸95老师频道
@lkr245835 · 4491 post苏州姑苏全裸6T会所
@shspanice · 4,6861 post水月汇高端
@shuiyuehui · 1,8341 post苏州虎丘园区选妃
@YiUivcv · 1,6501 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 19 October 2026 — this entry's latest reading, not the date you are reading this.
“苏州茶馆上榜认证” (@SZNJHCB), 107,914 subscribers as measured 19 October 2026. Telegram Register, tgregister.com/channel/SZNJHCB.
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.