【时间】:2026-09-03 【老师】:小芸 【留名】:风间妙男子 【人照】:9 【态度】:10 【环境】:10 【综合】:9.67 【过程】:昨天夜里跟老师约了课,今天早早到了老师给的地址,进门聊了几句话,付完车费就去洗澡,老师教室环境非常的好,干干净净,然后服装也很多套可以自己选择,当老师脱下衣服真的惊呆了,瘦瘦的身体却有着丰硕的双乳,摸着很舒服,口的服务很曼妙,没有一点齿感,给老师说的姿势也能满足,老师介意的点也会提前给你说,因为体力不支没有跟多的享受,后续123出货完事,是一个很不错的老师也很好看, 苏州茶馆主群 https://t.me/szcgll @QiangSbot 机器人查车评,例如 : 某某某 茶馆不给任何老师担保收取定金!被骗请自理!

Channel
苏州茶馆老师报告
@Szcgd
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Handles named that no longer answer · Cite this entry
26,295subscribers
+918 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 | -1002831273447 |
|---|---|
| Type | Channel |
| Username | @Szcgd |
| Created | Between 1 June 2025 and 30 September 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 17 September 2026 |
| Measurements held | 34 |
| Confirmed unchanged | 1 time, most recently 17 September 2026 |
| On Telegram | t.me/Szcgd |
Topic
Adult — 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 70% 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 |
|---|---|---|
| 17 Sept 2026, 15:57 | 26,295 | +58 |
| 15 Sept 2026, 13:17 | 26,237 | +42 |
| 14 Sept 2026, 01:20 | 26,195 | +24 |
| 12 Sept 2026, 10:16 | 26,171 | -3 |
| 10 Sept 2026, 09:16 | 26,174 | +61 |
| 7 Sept 2026, 06:58 | 26,113 | +64 |
| 4 Sept 2026, 12:41 | 26,049 | +32 |
| 3 Sept 2026, 01:26 | 26,017 | +31 |
| 1 Sept 2026, 20:35 | 25,986 | +16 |
| 31 Aug 2026, 23:18 | 25,970 | +20 |
| 31 Aug 2026, 02:05 | 25,950 | +40 |
| 30 Aug 2026, 04:25 | 25,910 | +22 |
| 29 Aug 2026, 01:57 | 25,888 | +20 |
| 28 Aug 2026, 01:45 | 25,868 | +28 |
| 27 Aug 2026, 00:08 | 25,840 | +19 |
| 26 Aug 2026, 03:15 | 25,821 | +34 |
| 25 Aug 2026, 03:28 | 25,787 | +19 |
| 23 Aug 2026, 22:04 | 25,768 | +29 |
| 22 Aug 2026, 07:18 | 25,739 | +27 |
| 20 Aug 2026, 23:37 | 25,712 | first reading |
Engagement
610 posts held, back to 6 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 58 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 0.836%
- avg views ÷ 26,295 subscribers
- Avg views / post
- 220
- 309 posts measured
- Reaction rate
- 0.284%
- reactions ÷ views · ER floor
- Posts in window
- 309
- of 610 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 51 of 309 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 3 September 2026 |
|---|---|
| Posts held | 610 (6 August 2026 – 3 September 2026) |
| Views total | 67,946 |
| Reactions total | 48 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 3 Sept 2026, 10:15 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
- 2s
- Average length
- 2s
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
74 reactions across 60 posts, in 9 distinct kinds. The most used accounts for 58.1% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 43 | 58.1% | |
| 👏 | 9 | 12.2% | |
| 🎉 | 5 | 6.76% | |
| 👀 | 4 | 5.41% | |
| 🔥 | 4 | 5.41% | |
| 👍 | 3 | 4.05% | |
| 💯 | 3 | 4.05% | |
| 🤬 | 2 | 2.70% | |
| 👎 | 1 | 1.35% |
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 90 of the 610 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 74 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 610 most recent posts we hold, published 6 August 2026 to 3 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
【时间】:2026-09-02 【老师】:米雪 【留名】:小鲤鱼 【人照】:8 【态度】:10 【环境】:9 【综合】:9 【过程】:已经不知道出击了多少次了,老师非常棒,喜欢追求肉体上的享受,可以放心去服务非常好 苏州茶馆主群 https://t.me/szcgll @QiangSbot 机器人查车评,例如 : 某某某 茶馆不给任何老师担保收取定金!被骗请自理!
【时间】:2026-09-02 【老师】:楠楠 【留名】:匿名 【人照】:10 【态度】:10 【环境】:10 【综合】:10 【过程】:老师很嫩,非常健谈。皮肤非常光滑,摸起来像丝绸。身材非常挺拔,胸摸起来非常挺,下面也很紧致。面貌很妩媚,看起来很有那种妩媚和幼态结合的感觉。 苏州茶馆主群 https://t.me/szcgll @QiangSbot 机器人查车评,例如 : 某某某 茶馆不给任何老师担保收取定金!被骗请自理!
❤1
【时间】:2026-09-02 【老师】:初恋 【留名】:天冷冷(核爆) 【人照】:9 【态度】:9.5 【环境】:9 【综合】:9.17 【过程】:拿卷秒约准点到楼下,拍照指引上楼,开门人照一致人比照片更立体好看些。身高约165,体重约90,胸围约b+,皮肤小麦黄偏白,双眼皮小脑袋鹅卵石脸笑容好看身材s形很好。进门和频道一样,放着笔记本和游戏。 简单聊天老师给我递水。性格非常开朗外向自信。聊天起来非常舒服。 然后洗浴老师帮洗,有一次性纸巾。随后上二楼,老师嫩妹三件套服务。好在什么姿势都配合,里面滚烫啊,奈子做爱也会挺起来从传教士到后入到侧入到传教士。前两天打多了今天没出来。实在是力竭了就没有让老师继续了,老师还是很耐心的完全不催。最后在洗了一次穿衣服休息走人。 嫩妹里很好的了主要是氛围不错老师给的情绪很好,硬件都很顶。有机会在刷 苏州茶馆主群 https://t.me/szcgll @QiangSbot …
【时间】:2026-09-02 【老师】:屁桃 【留名】:南江 【人照】:8 【态度】:8 【环境】:8 【综合】:8 【过程】:老师有点冷😂,凶挺软,口的很生猛🥲,女上酷酷干,身材挺好,长腿小蛮腰,没啥说的,被秒 苏州茶馆主群 https://t.me/szcgll @QiangSbot 机器人查车评,例如 : 某某某 茶馆不给任何老师担保收取定金!被骗请自理!
【时间】:2026-09-02 【老师】:知盈 【留名】::( 【人照】:9.5 【态度】:10 【环境】:9.5 【综合】:9.67 【过程】:工兵中奖后,果断问老师地址,打车过去,进到房间,老师本人真的好漂亮,眼睛很大,一双深遂的眼睛真的很迷人,特别媚,身材苗条,凹凸有致,非常喜欢了,随后交了水费,进去浴室,鸳鸯戏水,洗着洗着直接给我口起来了,口活特别棒,让我一下就来感觉了,接着就是上床。开始了各种课表的服务,老师服务细节真的特别赞,课表上的服务一个不落,而且特别认真,再说一次,口的太舒服了,差点被老师口出来,随后老师给我戴套,做到我身上,老师很紧,反馈很好。结束之后老师给我洗了下澡,之后回房间,老师还给我擦脚、拿鞋、穿袜子。走之前,和老师抱抱、亲亲。 苏州茶馆主群 https://t.me/szcgll @QiangSbot 机器人查车评,例如 : 某某某 茶馆不给任何老师担保收取定金!被骗请自理!
【时间】:2026-09-02 【老师】:静静 【留名】:青柠(不坤了) 【人照】:9.5 【态度】:9.5 【环境】:9.5 【综合】:9.5 【过程】:今天火速出击,小区就在山姆会员店旁边。开车前往的朋友建议将车直接停在山姆停车场,因为小区地库全是私人车位,外来车辆停放非常麻烦。 见到老师本人,发现与照片基本一致。老师性格顺从听话,配合换上了准备好的女仆装与性感肉丝,氛围瞬间拉满。 从背面开始,老师的舌尖SPA非常舒服。舌尖游走的范围非常广,由上至下缓缓扫过整个后背,一路延伸至足跟,酥麻感遍布全身。随后我崛起屁股,用舌尖细致地舒缓肛门括约肌,并在恰当的时机带来了一次极具冲击力的顶肛体验,令人猝不及防却又沉溺其中。 来到正面,老师顺势舔舐敏感的乳头,极具挑逗意味。还没等我完全反应过来,她便主动坐了上来发起女上位进攻,同时伴随着热烈而缠绵的舌吻,将欢愉的气氛推向顶点。 在此刻的情动之下,我不再被动,直接更换体位掌握主动权…
【时间】:2026-09-02 【老师】:秋香 【留名】:xx 【人照】:10 【态度】:10 【环境】:9 【综合】:9.67 【过程】:因为前面的狼友迟到导致被罚站了,但是见到老师后觉得都是值得的,人照没差,就是身高多写了点但也显得小巧玲珑非常可爱。非常主动,很润,亲一会下面就湿了,口活也不错,还会深喉。做的时候姿势非常配合,是目前去过的嫩妹中的最好的,必二刷。就是一次性用品可以准备充足一点,其他没问题。 苏州茶馆主群 https://t.me/szcgll @QiangSbot 机器人查车评,例如 : 某某某 茶馆不给任何老师担保收取定金!被骗请自理!
【时间】:2026-09-02 【老师】:桃酥 【留名】:Robert2 【人照】:9 【态度】:9.5 【环境】:9 【综合】:9.17 【过程】:老师个子小巧玲珑的,人照一致,几乎没有差异,身材瘦瘦的,很爱笑。 交了费,洗澡,上床。老师是刚下海,服务不多,不过口活还可以,没有齿感,还会舔蛋蛋舔头头的。舌吻和69也很配合。最后啪啪,小穴很紧,老师不会骚叫,爽了会哼哼几句,可以抱着操。换了几个姿势后出货。 苏州茶馆主群 https://t.me/szcgll @QiangSbot 机器人查车评,例如 : 某某某 茶馆不给任何老师担保收取定金!被骗请自理!
【时间】:2026-09-02 【老师】:丹丹 【留名】:GGboy 【人照】:10 【态度】:10 【环境】:10 【综合】:10 【过程】:来苏州出差,很早就关注丹丹了,照片看身材好极了,就约了丹丹,进门以后,真的身材很好,皮肤真的也很好,长的真的很好看,服务过程不多赘述了,真的特别值,丹丹真的很漂亮,特别想pp但是临时有事,一定会再来 苏州茶馆主群 https://t.me/szcgll @QiangSbot 机器人查车评,例如 : 某某某 茶馆不给任何老师担保收取定金!被骗请自理!
【时间】:2026-09-02 【老师】:姗姗 【留名】:bbbxcc 【人照】:9 【态度】:9 【环境】:9 【综合】:9 【过程】:按照指引上楼 人照基本一致 就是去掉美颜美白差不多 身材纤细 腿很长 屁股也挺翘 手腕和大腿上有点纹身 具体过程就不描述了 给到推荐 苏州茶馆主群 https://t.me/szcgll @QiangSbot 机器人查车评,例如 : 某某某 茶馆不给任何老师担保收取定金!被骗请自理!
【时间】:2026-09-02 【老师】:小梦琪 【留名】:Flip Jumpor (岸) 【人照】:9 【态度】:9.5 【环境】:9 【综合】:9.17 【过程】:老师穿的很性感,御姐一枚,胸又大又白,很热情,聊天不尴尬。 主动缴费,洗澡,上床。老师开始服务,口活很棒,包裹感很强,还有多种花样,很舒服。可以69,老师下面没有异味,舔起来老师还会都,很敏感。 最后啪啪,老师姿势都能摆,非常配合,下面水很多,床单都被打湿了一片,很棒的炮架子。 苏州茶馆主群 https://t.me/szcgll @QiangSbot 机器人查车评,例如 : 某某某 茶馆不给任何老师担保收取定金!被骗请自理!
Showing the 12 most recent of 610 posts we hold for @Szcgd. 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.
Forward network
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
@Zaloou · 3,2346 posts贝贝的报告
@beibeibaogao232366 · 513 posts悦悦的个人频道
@fmkl68 · 1,5673 posts悦悦哒阿贝贝
@https_6257 · 4863 posts泡泡🫧
@pppaaoo6687 · 1,0783 posts书瑶的频道
@shuyao26 · 3922 posts肉肉的小贝家🏠
@xiaobedejia99 · 4052 posts小禾的小屋🏠
@xiaohe0068 · 2352 posts米雪的后花园
@xiaoxue7890520 · 2,3662 posts理理的爱心小屋
@aixinxiaowu123 · 1981 post水墨坊老师频道
@fdbbe · 2,2431 post金 芮 ☺️☺️☺️空间
@jinbina18 · 6841 post甜甜的朋友圈
@xuelidepengyouquan1 · 5411 post
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
Names
Channels on the register whose handles appear in this channel's posts.
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
- 0
- we ourselves saw one of these resolve, at some point
- Never seen alive
- 1
- vacant every time we have ever looked
@Szcgd 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.
Never seen alive
References a handle that is not a live channel — we have no record it ever was one.
named in 4 posts, 8 August 2026 – 27 August 2026
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 17 September 2026 — this entry's latest reading, not the date you are reading this.
“苏州茶馆老师报告” (@Szcgd), 26,295 subscribers as measured 17 September 2026. Telegram Register, tgregister.com/channel/Szcgd.
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.