【验 证 人】:Vision 随便 『推荐指数:⭐️⭐️⭐️⭐️⭐️(五星满分,一星差评)』 【日 期】: 11月 15日 【美女昵称】:#113 【联系方式】: @E2j01cc 【所属频道】:公开榜(公开榜/必品榜) 【地 区】: 相城区(吴中区/姑苏区等) 【上课花费】: 350 【口渴关怀】: 冰红茶(饮料/矿泉水/无) 【人照相似】:人照七分 【服务内容】:全裸四推 【服务过程】: 约好时间提前到达,楼下吃一碗羊肉面,浑身暖暖的。进店正好 113 姐姐也空了,第一眼看身材不错,硬件过关。照片有一些技术。那就开始洗澡,洗完出浴室全自动擦干,基本不用自己动手。 服务从B面开始,简单按摩.指滑.胸推,感受大胸在我背后游走,然后开始过水吸皮,舌漫全身,服务都十分专业。随后开始果冻毒龙,能看出来姐姐很专业,推的过程,嘴也不停在身上亲,同时擦过油的手不停的套弄金箍棒,感觉要给我磨成针…

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
28,417subscribers
+3,040 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 | 12 November 2026 |
| Measurements held | 65 |
| Confirmed unchanged | 1 time, most recently 12 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 |
|---|---|---|
| 12 Nov 2026, 21:58 | 28,417 | +99 |
| 10 Nov 2026, 13:17 | 28,318 | +87 |
| 8 Nov 2026, 22:56 | 28,231 | +34 |
| 7 Nov 2026, 12:19 | 28,197 | +63 |
| 6 Nov 2026, 09:41 | 28,134 | +27 |
| 5 Nov 2026, 06:41 | 28,107 | +38 |
| 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 | first reading |
Engagement
1,673 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 157 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 0.675%
- avg views ÷ 28,417 subscribers
- Avg views / post
- 192
- 584 posts measured
- Reaction rate
- 0.237%
- reactions ÷ views · ER floor
- Posts in window
- 584
- of 1,673 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 61 of 584 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 15 November 2026 |
|---|---|
| Posts held | 1,673 (6 August 2026 – 15 November 2026) |
| Views total | 112,092 |
| Reactions total | 41 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 15 Nov 2026, 14:50 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
- ≈13,200
- Videos
- ≈31
- Links
- ≈12,700
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
- 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
81 reactions across 71 posts, in 9 distinct kinds. The most used accounts for 82.7% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 67 | 82.7% | |
| ❤🔥 | 4 | 4.94% | |
| 🔥 | 3 | 3.70% | |
| 👍 | 2 | 2.47% | |
| 👌 | 1 | 1.23% | |
| 👎 | 1 | 1.23% | |
| 👏 | 1 | 1.23% | |
| 💔 | 1 | 1.23% | |
| 🤔 | 1 | 1.23% |
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 114 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 81 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 27 September 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: 1 of 584 posts held from the last 30 days (0.171%) 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】:2026-11-15 【老师】:吉米 【留名】:西装大汉 【人照】:9.7 【态度】:9.99 【环境】:9.5 【综合】:9.73 【过程】:先说总感觉,虽然是半套(中项)服务,但是内容孤丰富,钟太足,进出楼一小时。没有一点浪费时间,除掉陪洗之外就是床上服务;其次,妹子身高赤脚1.55米,化妆后是瓜子,皮肤很弹性,胸C➕,一掌握不住,有腰,蜜桃臀,没有小肚子和勒肉,不胖,就是那种街上看见这种天气下露大腿的妹子。重点来了,妹子的鲍鱼是严丝合缝,小小的,都没有嘴巴的一半长,颜色很浅,阴毛柔顺,阴蒂隆起,馒头逼一个,69很好吃。接着就是服务内容,一进门就看见穿着黑色暴露的内衣装,雪白的大腿,我速脱,没想到妹子脱的更快。然后一起果着进淋浴室,全程都是妹子帮我洗了胸、鸡吧和菊花。洗的时候还贴贴她的大奶。做了水中萧,还有帮我擦干全身。到了床上,花样多的我记不清了,AB面都做了,课表上内容都有,吸皮过水,舌吻,毒🐉,猴子偷桃,无套…
❤1
【时间】:2026-11-15 【老师】:小阿酒 【留名】:寂寞无名 【人照】:8.5 【态度】:9 【环境】:8 【综合】:8.5 【过程】:开门确实是嫩妹一枚,妆容刚画的,皮肤黄皮,苗条身材,嫩妹三件套吧,今天 状态不好,123 结束了 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】:2026-11-15 【老师】:皮蛋 【留名】:核爆(炒馒头比蒸的香) 【人照】:9 【态度】:9 【环境】:9.2 【综合】:9.07 【过程】:约到皮蛋,人照一致,是可爱的嫩妹,微黄皮,身高170,大长腿。奶子也是软软的B+,来的很值,洗澡后到床上。 ,再次看身材也不错,软软香香的身体,服务是嫩妹三件套,口的时间不短,身体很敏感,水也很多,哼哼唧唧的,传教士后入侧入都配合了,最后后入大屁股日爽了。时间都超时了也没催,还是非常有耐心的。值得推荐。 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】:2026-11-15 【老师】:棒棒糖 【留名】:HarryWalker 【人照】:8 【态度】:8.5 【环境】:8.5 【综合】:8.33 【过程】:看着小萝莉就换了工兵,去了以后人照基本一致,去掉美白美颜就是本人,非常幼态纤瘦,黄色皮肤,颜值还行吧,属于精神小妹类型,有纹身说东北话和萝莉形象太反差了。 陪洗浴一次性纸巾啥的都有。洗完上床服务是嫩妹三件套,带上后从传教士到后入到侧入都很配合,很听话,5张算是性价比还可以的,优点:听话,5张价格合适。缺点:太瘦,胸不大,不耐桩 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】:2026-11-15 【老师】:小颜 【留名】:优质123群群主 【人照】:8 【态度】:9 【环境】:9 【综合】:8.67 【过程】:过程描述: 我CJ将近4年,参与了四五十个老师吧,这个小颜是我首次2刷的老师,在这个价格+这个年纪的前提下,综合体验我比较满意。(ps.但老师就是标准的嫩妹服务流程,如果抱着特别期待有什么特殊的CJ体验,也没必要,仁者见仁吧。) 个人感觉跟照片不是很像,怎么形容呢,就是少妇感的童颜巨乳,可能是因为美颜照片眼睛是圆的,本人是那种月牙弯的眼睛,有点像个假面骑士555里面的一个演员,但是肯定不丑,胸部又白又挺,无纹身,不抽烟,无异味,小区门口停车,附近比较偏人也很少,房间环境也不错,这次增加了一次性床垫,也好评。 细节就不赘述了,可以看我一刷的报告,总之我是比较挑剔的人,本来不想写这篇报告的,怕生意太好后面又被桩下线了。 苏州茶馆主群 https://…
【时间】:2026-11-15 【老师】:沐沐 【留名】:Jack 【人照】:9 【态度】:10 【环境】:9 【综合】:9.33 【过程】:看到新来的沐沐老师,卡哇伊的萝莉身材,童颜巨乳玩法好多一下子就被吸引了,果断预约,老师教师地铁下车就到,非常方便,进门小萝莉身材,皮肤好白,一点瑕疵都没有,胸差不多c+真是童颜巨乳,极品小母狗,全程听指挥,叫主人爸爸,水中萧大蟒蛇,各种制服道具,做爱反馈激烈,吐着舌头叫主人,哪里受得了这种刺激,不到5分钟就缴械投降了,结束抱着温存了好久,才洗澡离开,离别还给个香吻,这也太刺激了,真不亏是经常被调教的小母狗,给到夯爆了! 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】:2026-11-15 【老师】:白玫瑰 【留名】:X 【人照】:9 【态度】:9 【环境】:9 【综合】:9 【过程】:小区没有门禁 位置好找 直接上楼 老师本人比照片好看 态度很好 服务过程很细致 各种流程都很到位 特别是老师360度口的很爽 差点缴械了 做的时候也很配合 老师很温柔贴心 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】:2026-11-15 【老师】:棒棒糖 【留名】:哈吉哈 【人照】:7.5 【态度】:3 【环境】:8 【综合】:6.17 【过程】:时隔一个多月的出击,拉了一坨大的,体验贼差,后入的时候上下滑动一下准备插入,稍微碰到一下菊花边边,跟TM被电了一样叫起来说不能插菊花,你TM菊花是被扩过吗,合不起来是吧,夹不住屎?一下就能滑进去?一惊一乍的,还TM两次,能不软点我敬你是个人物,中途还要跑一边去说要休息一下。人照有差,蜡黄皮,后入有味儿。喜欢吃屎的去吧。 哦还有,全程浑身抖个不停,我甚至怀疑磕了,拉完了。 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】:2026-11-15 【老师】:佳佳 【留名】:萌新ai嫩 【人照】:8 【态度】:8 【环境】:9 【综合】:8.33 【过程】:1、短头发,特别瘦,竹竿腿 2、🐻A 3、黄皮,少光滑 🥰【服务态度】 1、态度一般,没有情绪价值 2、屁屁很弹,后入很爽 3、只有口和做 4、🐍没有 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】:2026-11-14 【老师】:小悦悦 【留名】:i 【人照】:9 【态度】:9 【环境】:7 【综合】:8.33 【过程】:看了老师的资料 很喜欢御姐类型 正好有工兵活动 马上就迫不及待了 赶紧跟老师约时间 约好马上出发 开门第一眼老师感觉有点嫩呢 喜欢 老师陪浴 洗澡 开始A面服务 有毒龙 我不要 老师的说话特别嫩里嫩气 服务态度很好 老师说话特别慢 跟她开开玩笑也挺有意思 我就喜欢这种放松的感觉 有种老朋友的感觉 口的时候做69 鸡儿邦邦硬 赶紧让老师躺下 小穴好小 好紧 感觉要秒射了 感觉换姿势 主要是太紧了 第一次飘到这么紧的 快射的鸡很硬 赶紧化身桩基 了几秒 结束 拥抱出门 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…
【时间】:2026-11-14 【老师】:西西 【留名】:情兽 【人照】:9 【态度】:9.5 【环境】:8 【综合】:8.83 【过程】:联系好进门,躲门后一个BBW女孩!有着眼睛大大的,确实厚乳肥臀很欧美~内向小男孩寒暄两句赶紧脱衣洗澡,浴室较小蹲不下俩人,不过有帮洗和水中萧,抬头用大眼睛骚骚的看着,把我整害羞了,上床B面西西先给自己大奶涂上油,在上下蹭说要把自己蹭高潮~然后毒龙真往里钻!赶紧翻到正面,摸着大奶69,逼逼很肥美,准备舔喷,可惜没实力,戴套开凿,123~一股强流把我小几把都冲出来了~放正继续123~把持不住,泄~可惜后入没体验到 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 1,673 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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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 12 November 2026 — this entry's latest reading, not the date you are reading this.
“苏州茶馆老师报告” (@Szcgd), 28,417 subscribers as measured 12 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.