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Telegram profile photo for 苏州茶馆上榜认证

Channel

苏州茶馆上榜认证

@SZNJHCB

On this record: Topic · Observations · Channels linked by matching posts · Growth · Engagement · What this channel posts · Reactions · Posts · Posts edited after publishing · Posts recorded as deleted · Citations · Cite this entry

114,965subscribers

+23,348 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
TypeChannel
Username@SZNJHCB
Descriptionhttps://t.me/szcgll 茶馆大群入口 https://t.me/chaguan666888/20 spa会所直达
CreatedBetween 1 March 2025 and 31 July 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live14 November 2026
Measurements held65
Confirmed unchanged1 time, most recently 14 November 2026
On Telegramt.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 the other topics.

Observations

These are measurements, not verdicts. Each one below states something we counted, alongside the evidence it was counted from, so you can check it rather than take it. None of them is graded: every observation this register holds is recorded at severity 0, because the precision of the detectors behind them has not been measured yet, and a rating we cannot support is worse than none. Read each as a fact about the data, not as a judgement about the channel. How we measure.

Content that also appears on other registered channels

Posts published here appear in near-verbatim form on 2 other registered channels. This entry also sits inside a group of 3 channels linked by matching posts, directly or through other channels in the group; two members of the group may share no posts with each other. The matching is on the text itself, not on Telegram’s forward marker, so it finds a copy whether or not it was labelled as one.

Matching posts — open both and compare (6 of the pairs behind the counts below)
Posted firstThenOverlapGap
@SZNJHCB/36646 · this entry13 Aug 2026, 13:46 UTC@chaguan666888/94413 Aug 2026, 13:46 UTC1.00under a minute
@chaguan666888/101030 Aug 2026, 15:28 UTC@SZNJHCB/39236 · this entry30 Aug 2026, 15:28 UTC1.00under a minute
@chaguan666888/102031 Aug 2026, 15:03 UTC@SZNJHCB/39367 · this entry31 Aug 2026, 15:03 UTC1.00under a minute
@chaguan666888/10411 Sept 2026, 16:17 UTC@SZNJHCB/39560 · this entry1 Sept 2026, 16:17 UTC1.00under a minute
@SZNJHCB/46072 · this entry14 Oct 2026, 08:52 UTC@chaguan666888/128114 Oct 2026, 08:52 UTC1.00under a minute
@chaguan666888/129220 Oct 2026, 10:50 UTC@SZNJHCB/47014 · this entry20 Oct 2026, 10:50 UTC1.00under a minute
Channels this entry shares post bodies with, where at least one matching post pair has no forward credit between the two channels, or to a common source, recorded in our data
ChannelMatching postsText overlapTypical gapPublished first
@chaguan66688811 (8/8 hand-verifiable sample passed)1.00under a minutethis entry (6–5)
@SZXCBANG8 (8/8 hand-verifiable sample passed)0.9611 dayseven

Text overlap is the Jaccard coefficient over the set of distinct three-word phrases in the two bodies: 1.00 is identical wording, and the threshold for counting a pair at all is 0.70. Candidates are generated by simhash LSH (4 x 16-bit bands, exact Hamming <= 3) verified against the bodies with Jaccard over the SET of distinct 3-word shingles. Published first counts which side of each matching pair carries the earlier timestamp — in this corpus, which is the limitation directly below.

What this cannot establish

MEASURED, DOMINANT ERROR SOURCE: a post ingested before 2026-08-06 may have carried a forward header that was not recorded. A 45-pair hand-check against live t.me pages found 14 (31%) where the live page shows a forward header naming the other channel and the database has none, plus 4 more (9%) naming a third party. The text match itself was wrong 0 times out of 45. Read attribution_capture.items_in_trusted_window before treating the unattributed count as a claim.

Telegram lets a channel forward a post with a header naming the source, and we only began reliably recording that header on 2026-08-06. 9 of the 9 matches recorded here fall after that date and carried no header when we read them. The rest predate reliable capture and are not evidence either way.

“Published first” means first in this corpus. We hold 936 comparable posts for this entry, running 7 August 2026 to 14 November 2026. A channel we have read one page deep will look younger than a neighbour we have read in full, and the order would flip with no change in the underlying facts.

The detector’s own notes on this observation, as it recorded them. Names in this_style are fields of the underlying evidence record, which the plain-English paragraphs above read out for this entry.

  • Verbatim republication has three causes and the text separates only two: a clone/mirror, unattributed copy-paste, or BOTH channels copying a common third source that neither attributes. The spread filter (content held by at most 8 channels) reduces the third and does not remove it.
  • 'Earliest' means earliest IN THIS CORPUS. A channel ingested one page deep will look younger than a neighbour ingested in full; corpus_coverage above is there to be checked before the direction is believed.
  • shared_verified_est extrapolates the sampled pass rate over the full narrow match count; sampled/passed are the numbers actually measured.
  • Absence of a forward header is not proof of intent: Telegram lets a channel disable forward attribution, and a credit written in the body is not parsed as attribution here (mention_edge_either_way above is the closest available signal).

Of the group of 3 channels, the one whose matching posts we hold earliest is @SZNJHCB — which is this entry. That is a statement about our reading window, not a claim of authorship.

Recorded under the key clone_mutual, last confirmed 15 November 2026. An observation that a later pass no longer finds is cleared, and a cleared observation is removed from this page rather than being shown struck through — we do not keep publishing a claim we have withdrawn. Dispute an observation.

Channels linked by matching posts

This channel is in a group of 3 registered channels linked by matching posts, directly or through other channels in the group. This channel may share no posts with some of the channels listed below, and listed channels may share none with each other. Links are found by comparing text fingerprints across every channel on the register.

Which channel, if either, published first is deliberately not shown in this list. “First” could only mean first in our own crawl, which depends on how deep we happened to reach into each channel’s history, not on when the content was actually first posted. Our one hand-check read 45 of the highest-confidence flagged pairs against the live Telegram pages. In 18 of them the live page showed a “Forwarded from” credit that our database had no record of, so reading that pair as an unattributed copy was wrong; the check did not measure who published first. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Near-verbatim matching has several ordinary explanations besides copying — a channel mirroring itself, an unattributed repost, or two channels independently repeating the same wire story — and this measurement cannot tell those apart. How this is measured.

Growth

91,617114,965103,2917 August 202614 November 2026
65 measurements spanning 99 days, net +23,348. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between — snapshots are recorded only when a count changes, so gaps mean “no change observed”, never “interpolated”. The vertical axis spans 88,115–118,467 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 65
Measured (UTC)SubscribersChange
14 Nov 2026, 18:49114,965+739
11 Nov 2026, 16:00114,226+403
9 Nov 2026, 17:15113,823+211
8 Nov 2026, 12:06113,612+319
7 Nov 2026, 05:57113,293+231
6 Nov 2026, 06:35113,062+215
5 Nov 2026, 05:18112,847+319
4 Nov 2026, 06:10112,528+70
3 Nov 2026, 02:41112,458+332
2 Nov 2026, 00:50112,126+296
31 Oct 2026, 22:20111,830+35
31 Oct 2026, 01:38111,795+282
30 Oct 2026, 03:00111,513+219
29 Oct 2026, 00:20111,294+1,121
28 Oct 2026, 01:30110,173+292
27 Oct 2026, 00:35109,881+174
26 Oct 2026, 01:37109,707+220
25 Oct 2026, 04:56109,487+393
24 Oct 2026, 02:37109,094+292
23 Oct 2026, 05:58108,802first reading

Engagement

969 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 257 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
2.44%
avg views ÷ 114,965 subscribers
Avg views / post
2,800
282 posts measured
Reaction rate
0.046%
reactions ÷ views · ER floor
Posts in window
282
of 969 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 144 of 282 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 15 November 2026
Posts held969 (7 August 2026 – 15 November 2026)
Views total789,971
Reactions total212
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken15 Nov 2026, 09:48 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
≈8,880
Videos
≈1,470
Links
≈1,700

Lifetime counters from Telegram’s own channel header, read 15 November 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
45m 14s
Average length
11s

Measured directly from 258 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

557 reactions across 322 posts, in 12 distinct kinds. The most used accounts for 82.2% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤45882.2%
👍488.62%
👎142.51%
👏91.62%
💩61.08%
🖕50.898%
❤‍🔥40.718%
👌30.539%
😁30.539%
🤮30.539%
🥰30.539%
🤯10.18%

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 398 of the 969 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 557 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 969 most recent posts we hold, published 7 August 2026 to 15 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: 2 of 282 posts held from the last 30 days (0.709%) 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).

15 Nov 2026, 09:45 UTC31 views1 reactionsread 15 November 2026
Photo

📊 16条车评,综合评分8.94 老师花名🌸: 歪歪 老师地区🌎: 虎丘区 服务价格🌕: 600P 1200PP 老师服务🌹: #69 #鸳鸯浴 #舌吻 #制服诱惑#萝莉 #嫩妹 #性价比 #包时 📞:@niannian212121 🤖:双向联系歪歪 ✍️:给歪歪写报告 👉👉点击查看茶馆出击无忧 👉👉苏州茶馆主群 👉👉福利频道 👉👉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

15 Nov 2026, 09:30 UTC≈1,500 views1 reactionsread 15 November 2026

🔥🔥以下是实时更新开课老师!所有收取定金的被骗请自理,茶馆不给任何老师担保收定金!!! 姑苏区开课老师🔥 💏 司藤400 💏 琪琪400 💏 小芸600 💏 皮蛋700 💏 柒夏400 💏 薇薇700 💏 雨晴500 💏 奶糖700 💏 酥酥600 💏 易梦400 💏 熙熙700 💏 伊宝500 💏 贝贝600 💏 星野500 💏 莎莎600 💏 朵朵800 💏 可可500 💏 cc700 💏 洛洛600 💏 豆丁600 💏 晓晓400 💏 柚柚500 💏 阿念600 💏 沐沐800 💏 洛米600 💏 小婷600 💏 艾米500 💏 温温600 💏 舒颜700 💏 韩韩700 💏 佳佳600💏 杨咩咩700💏 喜多多600 💏 招财喵600💏 熙熙酱700💏 樱朵朵600 💏 小怡酱2200 💏 小布点800 💏 蜜桃少妇400 虎丘区新区开课老师🔥 💏 椰子500 💏 妖…

👍1

15 Nov 2026, 09:30 UTC≈1,590 views1 reactionsread 15 November 2026

🔥🔥以下是实时更新开课老师!所有收取定金的被骗请自理,茶馆不给任何老师担保收定金!!! 园区开课老师🔥 💏 怡恩600 💏 星星700 💏 悠狸700 💏 丫丫500 💏 甜酱600 💏 紫怡500 💏 妮子600 💏 晨晨600 💏 菲菲700 💏 木木600 💏 宝汐700 💏 鱼鱼900 💏 玥儿600 💏 米兔600 💏 娴娴500 💏 雪雪600 💏 圆圆500 💏 呆呆400 💏 静静600 💏 梨梨600 💏 一丹600 💏 花花500 💏 果酱500 💏 晚晚700 💏 王佳琪700💏 陈音音500💏 小洁洁500 💏 蔓越莓500💏 木若晴700💏 冰美式700 💏 大雷苏苏600 吴江区开课老师🔥 💏 诗诗600 💏 七七600 💏 小甜600 💏 倩倩600 💏 兮兮600 💏 小雅800 昆山区开课老师🔥 💏 蕾蕾500 💏 丽丽500 常熟市开课老

👍1

15 Nov 2026, 09:30 UTC≈2,610 views1 reactionsread 15 November 2026

🔥🔥以下是实时更新开课老师!所有收取定金的被骗请自理,茶馆不给任何老师担保收定金!!! 吴中区开课老师🔥 💏 米雪400 💏 琳宝700 💏 星星600 💏 兔兔3000 💏 崽崽3000 💏 锦柠800 💏 吉米400 💏 馨馨600 💏 小贝600 💏 薯条600 💏 薇薇600 💏 小娇600 💏 小涵400 💏 晓晓500 💏 子希400 💏 软萌600 💏 圆宝600 💏 小娜600 💏 白小白600💏 小丫头600💏 小悦悦500 💏 米米兔500💏 林小雪600💏 安可可600 💏 傻丫头600💏 米雪儿600💏 柚子心400 💏 兔子涵500 💏 花生米600 💏 良家御姐400 相城区开课老师🔥 💏 童童600 💏 彤彤700 💏 苍井500 💏 小颜600 💏 糖心500 💏 蔷薇400 💏 慧慧500 💏 云云600 💏 满满500 💏 嘉嘉600 💏 苏珊…

👍1

15 Nov 2026, 09:29 UTC≈2,610 views1 reactionsread 15 November 2026
Photo

📊 30条车评,综合评分9.27 老师花名🌸: 白小白 老师地区🌎: 吴中区 服务价格🌕: 600P 1200PP 老师服务🌹: #69 #鸳鸯浴 #舌吻 #水中箫 #制服诱惑 #毒龙 #口爆 #深喉#嫩妹 #颜值系 #身材好 #性价比 📞:@ADFAF44 🤖:双向联系白小白 ✍️:给白小白写报告 👉👉点击查看茶馆出击无忧 👉👉苏州茶馆主群 👉👉福利频道 👉👉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

15 Nov 2026, 08:14 UTC≈3,060 views4 reactionsread 15 November 2026
Photo

📊 7条车评,综合评分9.29 老师花名🌸: 琪琪 老师地区🌎: 姑苏区 服务价格🌕: 400P 700PP 老师服务🌹: #69 #角色扮演 #制服诱惑 #SM #口爆 #莞式 #深喉#少妇 #服务系 #身材好 #性价比 #长腿 #波霸 📞:@qiqi11636 🤖:双向联系琪琪 ✍️:给琪琪写报告 👉👉点击查看茶馆出击无忧 👉👉苏州茶馆主群 👉👉福利频道 👉👉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

❤3🖕1

14 Nov 2026, 21:30 UTC≈1,250 viewsread 14 November 2026

🔥🔥以下是实时更新开课老师!所有收取定金的被骗请自理,茶馆不给任何老师担保收定金!!! 姑苏区开课老师🔥 💏 佳佳600 💏 小芸600 💏 皮蛋700 💏 晓晓400 💏 柒夏400 💏 薇薇700 💏 洛米600 💏 雨晴500 💏 奶糖700 💏 酥酥600 💏 杨咩咩700 虎丘区新区开课老师🔥 💏 皮皮700💏 雯儿600💏 小利智500 如果遇到问题请联系唯一管理深情,置顶图片或者下方按钮,所有收取定金的被骗请自理,茶馆不给任何老师担保收定金!!!

14 Nov 2026, 21:30 UTC≈2,340 viewsread 14 November 2026

🔥🔥以下是实时更新开课老师!所有收取定金的被骗请自理,茶馆不给任何老师担保收定金!!! 吴中区开课老师🔥 💏 米雪400 💏 崽崽3000 💏 软萌600 💏 琳宝700💏 星星600💏 小悦悦500 💏 林小雪600 相城区开课老师🔥 💏 童童600 💏 彤彤700 💏 小池800 💏 沅沅600 💏 蔷薇400 💏 苍井500 💏 染泡泡700💏 小阿酒700💏 黎雅雅600 如果遇到问题请联系唯一管理深情,置顶图片或者下方按钮,所有收取定金的被骗请自理,茶馆不给任何老师担保收定金!!!

14 Nov 2026, 21:30 UTC≈2,350 viewsread 14 November 2026

🔥🔥以下是实时更新开课老师!所有收取定金的被骗请自理,茶馆不给任何老师担保收定金!!! 园区开课老师🔥 💏 宝汐700 💏 怡恩600 💏 星星700 💏 静静600 💏 果酱500 💏 悠狸700 💏 陈音音500 💏 王佳琪700 吴江区开课老师🔥 💏 诗诗600 💏 倩倩600 昆山区开课老师🔥 常熟市开课老师🔥

14 Nov 2026, 14:11 UTC≈3,560 views4 reactionsread 14 November 2026
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📊 2条车评,综合评分8.33 老师花名🌸: 染泡泡 老师地区🌎: 相城区 服务价格🌕: 700P 1300PP 老师服务🌹: #69 #鸳鸯浴#嫩妹 #长腿 #兼职 #三点粉 📞:@NineJJ99 🤖:双向联系染泡泡 ✍️:给染泡泡写报告 👉👉点击查看茶馆出击无忧 👉👉苏州茶馆主群 👉👉福利频道 👉👉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

❤3👍1

14 Nov 2026, 12:37 UTC≈3,650 views1 reactionsread 14 November 2026
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14 Nov 2026, 12:36 UTC≈3,630 views1 reactionsread 14 November 2026
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Showing the 12 most recent of 969 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

Posts recorded as deleted after publishing

We recorded 17 posts on @SZNJHCB 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
1 October 2026
Most recent seen missing
10 November 2026
Median time before seen missing
12 hours
Seen missing in the last 30 days
10

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 3 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.

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 14 November 2026 — this entry's latest reading, not the date you are reading this.

“苏州茶馆上榜认证” (@SZNJHCB), 114,965 subscribers as measured 14 November 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.