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Channel

苏州🎓江南学院-名师榜

@Suzhou8090

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Posts edited after publishing · Citations · Cite this entry

30,352subscribers

-4,612 since we began measuring on 19 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1001858965191
TypeChannel
Username@Suzhou8090
Description苏州江南学院主群: @suzhouol 上榜请联系管理: @Suzhouzs_bot
CreatedBetween 1 October 2022 and 30 September 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded19 August 2026
Last confirmed live18 September 2026
Measurements held23
Confirmed unchanged1 time, most recently 18 September 2026
On Telegramt.me/Suzhou8090

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 85% 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

29,60841,97035,78919 August 2026 — 34,964 subscribers19 August 2026 — 34,964 subscribers19 August 2026 — 34,987 subscribers20 August 2026 — 34,956 subscribers22 August 2026 — 34,929 subscribers23 August 2026 — 35,048 subscribers25 August 2026 — 36,126 subscribers25 August 2026 — 37,158 subscribers26 August 2026 — 37,471 subscribers28 August 2026 — 38,208 subscribers29 August 2026 — 38,532 subscribers30 August 2026 — 38,688 subscribers31 August 2026 — 39,176 subscribers1 September 2026 — 39,317 subscribers2 September 2026 — 39,536 subscribers3 September 2026 — 39,766 subscribers5 September 2026 — 40,097 subscribers8 September 2026 — 41,104 subscribers11 September 2026 — 41,970 subscribers13 September 2026 — 29,859 subscribers14 September 2026 — 30,329 subscribers16 September 2026 — 29,608 subscribers18 September 2026 — 30,352 subscribers30,35219 August 202618 September 2026
23 measurements spanning 30 days, net -4,612. 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 27,754–43,824 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 23
Measured (UTC)SubscribersChange
18 Sept 2026, 15:1830,352+744
16 Sept 2026, 06:3829,608-721
14 Sept 2026, 14:5930,329+470
13 Sept 2026, 00:5829,859-12,111
11 Sept 2026, 02:3741,970+866
8 Sept 2026, 07:1841,104+1,007
5 Sept 2026, 02:1440,097+331
3 Sept 2026, 11:3739,766+230
2 Sept 2026, 04:1339,536+219
1 Sept 2026, 00:3839,317+141
31 Aug 2026, 02:2339,176+488
30 Aug 2026, 02:1838,688+156
29 Aug 2026, 03:4738,532+324
28 Aug 2026, 00:3438,208+737
26 Aug 2026, 23:3837,471+313
25 Aug 2026, 22:0437,158+1,032
25 Aug 2026, 00:2736,126+1,078
23 Aug 2026, 10:3735,048+119
22 Aug 2026, 00:2434,929-27
20 Aug 2026, 15:5334,956first reading

Engagement

41 posts held, back to 29 July 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 54 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
2.74%
avg views ÷ 30,352 subscribers
Avg views / post
831
35 posts measured
Reaction rate
10.0%
reactions ÷ views · ER floor
Posts in window
35
of 41 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 34 of 35 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 20 September 2026
Posts held41 (29 July 202620 September 2026)
Views total29,092
Reactions total2,863
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken20 Sept 2026, 06:19 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
422
Videos
66
Links
47

Lifetime counters from Telegram’s own channel header, read 20 September 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
2m 05s
Average length
8s

Measured directly from 15 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

3,513 reactions across 40 posts, in 1 kind.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
3,513100.0%

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 40 of the 41 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 3,513 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 41 most recent posts we hold, published 29 July 2026 to 20 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

20 Sept 2026, 05:17 UTC691 views46 reactionsread 20 September 2026

吴中区 可欣[500P] 咩咩[600P] 国宝[600P] 安希[600P] 婉儿[600P] 菲思密儿[600P] 林可可[700P] 崽崽[3K.2H] 吴江区 佳佳[600P] 姑苏区 笑笑[600P] 云云[600P] 绵羊[700P] 呆呆鱼[700P] 工业园区 冉冉[600P] 欣欣酱[600P] 玥儿By[600P] 妮子[700P] 可乐[700P] 相城区 茉茉[95老师.400] 黎雅雅[600P] 苏晚晚[600P] 朵朵[700P] 小瑟瑟[400P] 虎丘区 洋洋[700P] 昆山市 CC[500P]

46

20 Sept 2026, 03:32 UTC≈1,670 views22 reactionsread 20 September 2026
Photo

🎁 CC半价工兵活动 修为抽奖(定时开奖) ├开奖时间: 2026-09-23 11:30 ├参与需加入: │⭐ 苏州🎓江南学院【2.0】 │└消耗修为: 10 │🎫 苏州🎓江南学院-名师榜 ├奖品列表: ├CC老师1P工兵券 × 2 ├加成上限: 10次 ├抽奖说明:抽中必须写报告,优惠券有效期3天,请有时间的再参与抽奖 ├发奖人员:院长 [如何参与?]点击下面抽奖按钮消耗10修为,参与抽奖

22

20 Sept 2026, 03:11 UTC138 views28 reactionsread 20 September 2026
Photo

📊 0条车评 写报告 好评 0% | 人照 | 服务 中评 0% | 颜值 | 态度 差评 0% | 身材 | 环境 苏州🎓江南学院-名师榜已验证 📍 苏州 #昆山市 👤 昵称 #CC 💸 课费 #500P #700PP 🌟标签 #御姐 #舌吻 #陪浴 #六九 ✈️私信 @cc1314521000 ✈️双向 @cclaoshi123bot 💭聊天主群 @suzhouol ⚠️沟通第一句话请一定说明是江南学院看到的,否则出现问题无法处理

28

18 Sept 2026, 23:52 UTC≈2,460 views32 reactionsread 20 September 2026

吴中区 可欣[500P] 咩咩[600P] 国宝[600P] 安希[600P] 婉儿[600P] 菲思密儿[600P] 林可可[700P] 崽崽[3K.2H] 吴江区 佳佳[600P] 姑苏区 笑笑[600P] 云云[600P] 绵羊[700P] 呆呆鱼[700P] 工业园区 冉冉[600P] 欣欣酱[600P] 玥儿By[600P] 妮子[700P] 可乐[700P] 相城区 茉茉[95老师.400] 黎雅雅[600P] 苏晚晚[600P] 朵朵[700P] 小瑟瑟[400P] 虎丘区 洋洋[700P] 昆山市 CC[500P] 赞助商 🐧苏州全区安排 丨🐧苏州真空KTV 🐧全国素人包养 丨🐧姑苏6T高颜值SPA 🐧江浙沪平价包养 丨🐧园区夜猫私影mmk 🐧慕斯泡泡spa 92嗨选

32

18 Sept 2026, 10:19 UTC≈2,410 views28 reactionsread 20 September 2026
Photo

🎰 欣欣酱半价工兵活动 📮 参与条件: 🎫 加入-苏州🎓江南学院【2.0】 └ 🎟️ 发言数大于 5 条 🎫 加入-苏州🎓江南学院-名师榜 🎁 奖品内容: 💰️ 欣欣酱1P工兵券 × 2 ⚠️ 抽奖说明: 抽中必须写报告,优惠券有效期3天,请有时间的再参与抽奖 🔋 人品加成:⚡️⚡️⚡️ 规则 📅 开奖日期:(北京时间) 2026年09月21日 23时59分00秒

28

18 Sept 2026, 10:10 UTC529 views44 reactionsread 20 September 2026
Photo

📊 0条车评 写报告 好评 0% | 人照 | 服务 中评 0% | 颜值 | 态度 差评 0% | 身材 | 环境 苏州🎓江南学院-名师榜已验证 📍 苏州 #工业园区 👤 昵称 #欣欣酱 💸 课费 #600P #1100PP 🌟标签 #嫩妹 #六九 #舌吻 #胸推 #足交 #乳交 ✈️私信 @xinxin9877 ✈️双向 @xinxin9906_bot 💭聊天主群 @suzhouol ⚠️沟通第一句话请一定说明是江南学院看到的,否则出现问题无法处理

44

18 Sept 2026, 06:16 UTC494 views36 reactionsread 19 September 2026
Photo

苏州🎓江南学院-名师榜已验证 📍 苏州 #姑苏区 👤 昵称 #七七 💸 课费 #500P #900PP 🌟标签 #御姐 #胸推 #按摩 #冰火 #指滑 ✈️私信 已下榜 ✈️双向 💭聊天主群 @suzhouol ⚠️沟通第一句话请一定说明是江南学院看到的,否则出现问题无法处理

36

17 Sept 2026, 01:15 UTC725 views35 reactionsread 19 September 2026
Photo

📊 0条车评 写报告 好评 0% | 人照 | 服务 中评 0% | 颜值 | 态度 差评 0% | 身材 | 环境 苏州🎓江南学院-名师榜已验证 📍 苏州 #吴中区 #只上门 👤 昵称 #崽崽 💸 课费 #3000·2H 🌟标签 #御姐 #k6 #k9 #羞辱 #捆绑 #刑奴 #户外露出 ✈️私信 @suzhouzaizai ✈️双向 @zaizainvmbot 💭聊天主群 @suzhouol ⚠️沟通第一句话请一定说明是江南学院看到的,否则出现问题无法处理

35

12 Sept 2026, 09:15 UTC142 views46 reactionsread 12 September 2026
Photo

📊 0条车评 写报告 好评 0% | 人照 | 服务 中评 0% | 颜值 | 态度 差评 0% | 身材 | 环境 苏州🎓江南学院-名师榜已验证 📍 苏州 #相城区 👤 昵称 #小意 💸 课费 #700P #1200PP 🌟标签 #御姐 #深喉 ✈️私信 @ooovv121 ✈️双向 @xydejiqren_bot 💭聊天主群 @suzhouol

46

12 Sept 2026, 08:40 UTC123 views23 reactionsread 12 September 2026
Photo

📊 0条车评 写报告 好评 0% | 人照 | 服务 中评 0% | 颜值 | 态度 差评 0% | 身材 | 环境 苏州🎓江南学院-名师榜已验证 📍 苏州 #工业园区 👤 昵称 #可乐 💸 课费 #700P #1300PP 🌟标签 #嫩妹 #陪浴 ✈️私信 @daidai1603 ✈️双向 @hfnfjn7bot 💭聊天主群 @suzhouol

23

11 Sept 2026, 09:15 UTC≈1,650 views25 reactionsread 12 September 2026
Photo

🎰 菲思密儿半价优惠活动 📮 参与条件: 🎫 加入-苏州🎓江南学院【2.0】 🎫 加入-苏州🎓江南学院-名师榜 🎁 奖品内容: 💰️ 菲思密儿老师半价券 × 1 ⚠️ 抽奖说明: 抽中必须写报告,优惠券有效期3天,请有时间的再参与抽奖 📅 开奖日期:(北京时间) 2026年09月14日 23时59分00秒

25

Showing the 12 most recent of 41 posts we hold for @Suzhou8090. 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

@Suzhou8090 edited 6 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
22 August 2026
Most recent edit
20 September 2026

Forward network

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 1 registered channel — 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 18 September 2026 — this entry's latest reading, not the date you are reading this.

“苏州🎓江南学院-名师榜” (@Suzhou8090), 30,352 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/Suzhou8090.

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.