【时间】:2026-11-04 【老师】:伊宝 【留名】:匿名 【人照】:9 【态度】:10 【环境】:9 【综合】:9.33 【过程】:服务满意,老师项目齐全,时间久,服务好,下次还会来 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!

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
28,069subscribers
+2,692 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 |
| Description | 大群入口 https://t.me/szcgll |
| 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 | 4 November 2026 |
| Measurements held | 59 |
| Confirmed unchanged | 1 time, most recently 4 November 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 the other topics.
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 4 Nov 2026, 06:09 | 28,069 | +31 |
| 3 Nov 2026, 07:41 | 28,038 | +30 |
| 2 Nov 2026, 07:35 | 28,008 | +10 |
| 1 Nov 2026, 06:55 | 27,998 | +72 |
| 31 Oct 2026, 04:17 | 27,926 | +12 |
| 30 Oct 2026, 07:31 | 27,914 | +29 |
| 29 Oct 2026, 10:56 | 27,885 | +61 |
| 28 Oct 2026, 08:34 | 27,824 | +58 |
| 27 Oct 2026, 08:59 | 27,766 | +42 |
| 26 Oct 2026, 11:27 | 27,724 | +48 |
| 25 Oct 2026, 08:41 | 27,676 | +78 |
| 24 Oct 2026, 06:28 | 27,598 | +37 |
| 23 Oct 2026, 05:06 | 27,561 | +51 |
| 22 Oct 2026, 06:28 | 27,510 | +24 |
| 20 Oct 2026, 21:55 | 27,486 | +33 |
| 19 Oct 2026, 18:37 | 27,453 | +48 |
| 18 Oct 2026, 17:46 | 27,405 | +71 |
| 17 Oct 2026, 15:31 | 27,334 | +20 |
| 16 Oct 2026, 12:56 | 27,314 | +19 |
| 15 Oct 2026, 13:49 | 27,295 | first reading |
Engagement
1,497 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 135 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 0.648%
- avg views ÷ 28,069 subscribers
- Avg views / post
- 182
- 658 posts measured
- Reaction rate
- 0.282%
- reactions ÷ views · ER floor
- Posts in window
- 658
- of 1,497 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 66 of 658 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 4 November 2026 |
|---|---|
| Posts held | 1,497 (6 August 2026 – 4 November 2026) |
| Views total | 119,647 |
| Reactions total | 45 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 4 Nov 2026, 14:18 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
- ≈12,900
- Videos
- ≈31
- Links
- ≈12,400
Lifetime counters from Telegram’s own channel header, read 4 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
- 1s
- Average length
- 1s
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
82 reactions across 72 posts, in 7 distinct kinds. The most used accounts for 85.4% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 70 | 85.4% | |
| ❤🔥 | 4 | 4.88% | |
| 👍 | 3 | 3.66% | |
| 🔥 | 2 | 2.44% | |
| 👎 | 1 | 1.22% | |
| 👏 | 1 | 1.22% | |
| 💔 | 1 | 1.22% |
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 108 of the 1,000 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 82 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 1,000 most recent posts we hold (the sample is capped at 1,000), published 30 August 2026 to 4 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: 1 of 658 posts held from the last 30 days (0.152%) 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).
【时间】:2026-11-04 【老师】:小滢 【留名】:Timothy 【人照】:10 【态度】:9 【环境】:9 【综合】:9.33 【过程】:轻车熟路了,熟悉的感觉在空气中弥漫,已经迫不及待了,期待这场赴会。流程其实已经不重要了,重要的一个拥抱一个香吻,那种精神肉体的碰撞,当然一定要和自己内心喜欢的那个人。 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】:2026-11-04 【老师】:米米兔 【留名】:PgOne 【人照】:9 【态度】:9 【环境】:9 【综合】:9 【过程】:下午在吴中客户,闲来无事,打开飞机查看宝藏名单,看到米米兔刚开,好评也比较多,于是约课出发,根据老师指引顺利到达教室,并见到老师,老师给人小巧的感觉,很可爱,交了水费,自己冲洗下,快速来到战场,老师给我口了几下,顿时硬邦邦,叫停来了个反向服务,老师胸不大,但是很嫩有绒毛🤭舔的老师轻轻呻吟,火速带t乘热打铁,听老师的叫声特别的舒服,中间换了很多动作,老师也没有不耐烦,最后在老师女上完成了出货,总体不错 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】:2026-11-04 【老师】:小柔 【留名】:NatoshaHich 【人照】:10 【态度】:10 【环境】:9 【综合】:9.67 【过程】:遥控上楼,开门见到老师本人,眼睛很好看,坐下简单交流了一会,感觉老师很活泼,给了我一种谈恋爱的感觉。一起去浴室洗澡,老师洗得很认真,看到老师可爱的样子忍不住抓着奶子玩了一下,虽然b杯但是手感很不错。洗完就让老师穿上丝袜,做到床上先拉着老师🐍吻一顿,老师也很主动,舌头申了过来,你不停老师也不停🐍到饱,蛇够了让老师躺着,一边玩奶子一边吃奶子,奶子吃够了就到下面吃鲍鱼,干净无异味,舔到老师说受不了了就让老师给我口,口技也是很舒服,没一会硬邦邦了,叫老师带上小雨伞,老师主动坐上来,抱着我脖子边蛇边摇,然后抱起老师放下来传教士,抽插几下感觉越来越湿润,再后来每一次抽插都听到了水声,边干边看老师表情,老师勾人眼神一直在电我,头不自己向她靠近,又🐍了起来,主动问我要不要换姿势,又变成了后…
【时间】:2026-11-04 【老师】:小狐狸 【留名】:yanboyanbo 【人照】:10 【态度】:10 【环境】:10 【综合】:10 【过程】:看到小狐狸老师的报告来的,服务好,跟课表一样,皖试服务,太激情和妩媚了,好喜欢,下次一定来 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】:2026-11-04 【老师】:樱朵朵 【留名】:菜鸡互啄 (戒赌版) 【人照】:9 【态度】:9.5 【环境】:9 【综合】:9.17 【过程】:提前一天跟妹子约好时间了,时间提前半个小时,出发有点仓促了,宝子在小区里,环境蛮好的,一开门就被妹纸给萌到了,是个小可爱。 简单寒暄后,冲洗下陪浴,洗好后温柔的搂着妹纸,妹子口的很温柔,进去正题,妹纸不太会女上,换了两个姿势美滋滋的结束了,总之有点小家碧玉的感觉。嫩妹三件套,以后还会二刷的。 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】:2026-11-04 【老师】:金芮 【留名】:TashaOw 【人照】:9.5 【态度】:9.5 【环境】:9.5 【综合】:9.5 【过程】:见面老师态度很好,身材很顶,真胸,C以上圆圆的, 与照片基本一致。进去交了课费,老师陪洗的很认真还给我整了水中萧这谁顶得住 洗完澡看着老师换上我挑选的情趣和黑丝,看的鸡儿已经邦邦硬。之后便上床开启服务,AB推得不错 然后69的姿势与老师来个深入交流,小穴没有异味,口活也是一级棒,接着让老师来到上面,老师动作还算熟练,担心老师太累,于是换个传教士继续冲,太紧,没一会便出货了,洗漱一下便走了,老师服务态度名不虚传,配合度高,值得出击 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!
Telegram必备的搜索引擎,极搜JISOU帮你精准找到,想要的群组、频道、视频、音乐 👉 t.me/jisou2?start=a_7629286257
【时间】:2026-11-04 【老师】:关小欣 【留名】:苏州市局祁同伟 【人照】:9.5 【态度】:10 【环境】:9.5 【综合】:9.67 【过程】:看到榜上的老师,感觉特别可爱。约好时间之后,立刻前往。开门是个非常好看的妹妹,服务也非常得好正常的三件套,有培育。胸很挺拔,切换了很多姿势,非常的舒服,在边倾边操中出货。非常爽 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】:2026-11-04 【老师】:苍井 【留名】:简-简啵啵啵你呢 【人照】:8.5 【态度】:10 【环境】:9 【综合】:9.17 【过程】:好久没cj,于是就联系老师交流后才知道老师是从会所出来做,于是约好时间下班后前往,到了地儿遥控指挥上楼,穿着短裤肉色袜,赶紧抱入怀里,老师也笑嘻嘻的和我腻歪,然后就是交水费脱衣服,我快速的把自己扒光看到老师也以经脱光光了,进入洗浴间后老师细心的给我前后涂满沐浴露,她自己也涂抹好就从后面抱着我用她的大奶奶摩擦我加上沐浴露的润滑,奶子在我身后滑来滑去很舒服,后面滑完来到正面开始滑,每滑几下我的鸡巴就硬了,老师笑嘻嘻的开始给我冲水,仔细的洗遍全身和鸡巴,然后蹲下身子红唇含着我的鸡巴开始水中萧,看这鸡巴在老师嘴里进进出出我站的更直挺了,于是我用手把鸡吧毛毛向两边捋好,老师慧心的一笑,张大嘴巴一下子整根含到底吃下了整个鸡巴,两手抱着我的屁股,这个时候我都感觉鸡巴插到老师喉咙了持续十来秒,…
【时间】:2026-11-04 【老师】:小狐狸 【留名】:花陌 【人照】:10 【态度】:10 【环境】:10 【综合】:10 【过程】:找小狐狸老师吗很多次啦,想她就来找她啦,服务好,性价比高我,`下次再来 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】:2026-11-04 【老师】:炸弹 【留名】:JJJ🇭🇰 【人照】:10 【态度】:10 【环境】:10 【综合】:10 【过程】:是炸弹老师的老粉了,出击了很多老师,还是炸弹老师最炸,不管气质上还是性格服务上,都是顶级高手,老师休息回来马上约了pp,聊的很开心,第一次都没顶住老师口,不得不说还是炸弹厉害👍 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 1,497 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.
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@hanhanlove888 · 1,0343 posts悦悦哒阿贝贝
@https_6257 · 5733 posts泡泡🫧
@pppaaoo6687 · 1,2613 posts书瑶的频道
@shuyao26 · 4202 posts肉肉的小贝家🏠
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@GXBBDPD · 1821 post理理的爱心小屋
@aixinxiaowu123 · 2421 post水墨坊公开频道
@fdbbe · 2,9631 post金 芮 ☺️☺️☺️空间
@jinbina18 · 1,2981 post跳跳的小窝
@xiaoxiao9857 · 4991 post夏苒的小窝
@xiaran1314 · 1791 post甜甜的朋友圈
@xuelidepengyouquan1 · 4851 post紫萱的频道
@zixuandexi · 1111 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
- 2
- 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
- 2
- vacant every time we have ever looked
@Szcgd named 2 handles 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 6 posts, 8 August 2026 – 21 October 2026
named in 2 posts, 8 October 2026 – 9 October 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 4 November 2026 — this entry's latest reading, not the date you are reading this.
“苏州茶馆老师报告” (@Szcgd), 28,069 subscribers as measured 4 November 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.