【时间】:2026-09-29 【老师】:朵朵 【留名】:大岩 【人照】:10 【态度】:10 【环境】:10 【综合】:10 【过程】:太满意了只能说,各方面都给满分不过分。颜值比照片高,照片看着呆萌,实际很灵动的感觉,肤色挺白的,胸达不到C但也不小很粉嫩,关键户型绝美,白虎一线天粉苞,这波真是让我吃到好的了。服务方面反正是女友感拉满,也很到位,一个女上姿势就把我秒杀了。宝藏老师此生必吃下次还要系列。好了其他不能再多说了,老师想低调不希望太热门,我也希望下次再品好约些。 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
26,470subscribers
+1,093 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 | 27 September 2026 |
| Measurements held | 35 |
| Confirmed unchanged | 1 time, most recently 27 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 |
|---|---|---|
| 27 Sept 2026, 02:56 | 26,470 | +175 |
| 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 | first reading |
Engagement
731 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 67 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 0.791%
- avg views ÷ 26,470 subscribers
- Avg views / post
- 209
- 211 posts measured
- Reaction rate
- 0.297%
- reactions ÷ views · ER floor
- Posts in window
- 211
- of 731 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 32 of 211 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 29 September 2026 |
|---|---|
| Posts held | 731 (6 August 2026 – 29 September 2026) |
| Views total | 44,192 |
| Reactions total | 27 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 30 Sept 2026, 02:41 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
- ≈11,500
- Videos
- ≈30
- Links
- ≈11,100
Lifetime counters from Telegram’s own channel header, read 30 September 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
- 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
94 reactions across 78 posts, in 10 distinct kinds. The most used accounts for 62.8% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 59 | 62.8% | |
| 👏 | 9 | 9.57% | |
| 🎉 | 5 | 5.32% | |
| 👀 | 4 | 4.26% | |
| 👍 | 4 | 4.26% | |
| 🔥 | 4 | 4.26% | |
| 💯 | 3 | 3.19% | |
| ❤🔥 | 2 | 2.13% | |
| 👎 | 2 | 2.13% | |
| 🤬 | 2 | 2.13% |
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 731 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 94 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 731 most recent posts we hold, published 6 August 2026 to 29 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
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】:2026-09-29 【老师】:理理 【留名】:hardenli 【人照】:8 【态度】:8 【环境】:8 【综合】:8 【过程】:见面身材还蛮高的,人照比较符合,看着年纪不大,但是脱衣之后胸比较垂,一问生过孩子脯乳过,现在离了,也是不容易 有水中萧,这点不错,不过不能舌吻 口活还行,不能深喉,戴套之后下面还是蛮紧的,几个姿势之后交货 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】:2026-09-29 【老师】:金芮 【留名】:LaraSwe 【人照】:9 【态度】:9.5 【环境】:9.5 【综合】:9.33 【过程】:金芮老师很漂亮说话很温柔,老师的颜值和身高和照片根本就没有区别,身材看着前凸后翘真人更性感,见面笑脸相迎主动搭话,给人一种非常自然的感觉,非常让人放松,服务非常的有耐心,我摸着胸手感很好,老师从上舔到下,深喉一绝,口的很给力差点忍不住了,赶快带上小雨伞开干,身材颜值服务都没得说,五星好评 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】:2026-09-29 【老师】:桑美 【留名】:大闸蟹阳澄湖 【人照】:10 【态度】:9 【环境】:9 【综合】:9.33 【过程】:真人比照片好看一点,服务也还行,不能完全算口爆,半撸半口的这一点不是很好! 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】:2026-09-29 【老师】:美心 【留名】:寂寞无名 【人照】:9 【态度】:9.5 【环境】:9 【综合】:9.17 【过程】:有幸抢到一张工兵券,立刻约了第二天下午上课,开门小小的邻家小妹看起来很嫩,老师挺热情的,一起共浴,看到瘦瘦小小的身体,瞬间来了感觉,前戏做的一般,无套口和亲咪咪时间不长建议她后面改进,其他就是嫩妹三件套了,翻云覆雨从床上做到沙发上,酣畅淋漓的战斗,当然我是 123 了,一会功夫交货完毕 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】:2026-09-29 【老师】:言言 【留名】:鸡鸡棒 【人照】:9 【态度】:9 【环境】:9 【综合】:9 【过程】:久未露面的鸡鸡棒无意间刷到鲨鱼发布的频道报告将言言称作东北佟丽娅。听闻此言,鸡鸡棒心中激荡难平,当即和老师敲定时间,赶赴老师的住处。刚踏入房门,便被言言的容貌深深吸引。所谓环肥燕瘦,丰乳肥臀。他心中暗自感慨,这般动人的风姿,怕是当年唐玄宗初见杨玉环时,也大抵是这般心绪。他俩如同多年的好友一般轻轻点头,随后便一同褪去了衣物沐浴。擦净身子,躺在床上看着言言的脸心跳的很快。言言轻轻趴在他的身上,柔软的唇瓣轻吻了上去。言言说:"你喜欢我吗",他顿时羞红了脸一时间竟说不出来,只得轻轻点头。随后他俩进入了正式环节,言言如刚出生的羊羔贪婪的吮吸着他胸前的两点,她轻轻含住他的玉茎轻轻吞下,直至抵住喉咙,他轻哼一声不禁攥紧了床单。鸡鸡棒翻过了身,他的舌头在言言的身上轻轻点过,从上到下,由浅及深,所过之处无一不引起一阵…
【时间】:2026-09-29 【老师】:乐乐 【留名】:匿名 【人照】:9 【态度】:10 【环境】:9 【综合】:9.33 【过程】:三刷老师了,迟到了一会。老师也没不耐烦,态度蛮好。一直热情聊天,人照一致,我认为比图片好看,口才好,身材好,颜值高,爱爱时也很主动,配合度高。应该是健身的原因吧,一句话终结。很喜欢😍 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】:2026-09-29 【老师】:柒夏 【留名】:PowPow 【人照】:8.5 【态度】:8 【环境】:9 【综合】:8.5 【过程】:突然刷到柒夏老师报告,照片看着还行,开4张,好奇心驱使我Cj ,根据老师的指令遥控到门口,一开门看到老师,瘦瘦的,颜值还行,这价位要啥自行车,按流程洗洗二楼开干,,被老师甜硬了主动开干,123出货😁过程简单直接了当。总体还不错,服务不多。 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】:2026-09-29 【老师】:王佳琪 【留名】:CcCc 【人照】:10 【态度】:9.5 【环境】:9.5 【综合】:9.67 【过程】:嘉琪老师比照片上的漂亮,教室在小区,挺安全的(各位学员到教室后记得略微小声一点就行),环境的话正常小区户型。 老师服务课表上有的都会有,没有的也别强求(老师还是一个蛮有性格的女孩)。 过程:见面后老师第一个亮点是真人比照片好看,且身上没有什么风尘气,主动询问是否要喝水,交完课时费后会帮你冲洗,而后床上铺上新的垫子,然后开始第一通:给你口,口技属于温柔吞吐型,口舒服了就开始第二通:老师的穴紧致,因为是冲着老师的特色去的所以也没过度体会,最关键的第三通:这一通一定要跟着老师的节奏来,进去之后那个包裹感简直无与伦比,每抽插一下都感觉要顶不住了,凭借多年功力硬压着爽感,勉勉强强坚持了5分钟就缴枪投降(真的不是我不行,真的是包裹感太强了!!!)过程中老师的表情和情绪反馈真实不做作,老师不太…
❤1
【时间】:2026-09-29 【老师】:糖果 【留名】:chen 【人照】:10 【态度】:10 【环境】:10 【综合】:10 【过程】:正好回去路过看到常熟有老师果断加了。开门之后看到一个身材超级好的老师在等我 穿了个细高跟。环境很好。很快就交了水费 老师服务很好AB面做的很好 尤其毒龙差点没忍住。老师还有丝袜穿上之后更性感了 一阵小弟弟勃起后 带入老师沙发后入很快就胶枪了 服务超级好 老师人也很好 下次还会来 不易多说 来了就知道 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】:2026-09-29 【老师】:玲儿 【留名】:Ute 【人照】:8 【态度】:9 【环境】:8 【综合】:8.33 【过程】:临时决定出击,看到老师发了上课信息,果断约一课,由于还有别的事情,过程比较约课仓促,中间还耽搁了一下,但这些不愉快都在见到老师之后烟消云散了。凹凸有致的身材,十分撩人,动人的脸庞,让人着迷,软糯的声音,让人陶醉。简单冲洗一下就上楼开始服务,虽然比较仓促,但老师该有的服务一点不少,加上比较紧张的情绪,心理刺激十分到位,没一会儿就提枪上马,开始冲锋。交战中才体会到老师的绝妙,柔软细腻的肌肤,紧紧贴合着的身体,无不抚慰着我疲惫的心灵。不得不说老师的乳浪十分汹涌澎湃,形状饱满坚挺,手感柔软有弹性。由于还有事情便不再恋战,结束战斗。临走时老师还细致提醒没有东西落下。下次必要再来大战三百回合。 苏州茶馆主群 https://t.me/szcgll @QiangSbot 机器人查车评,例如 : 某某某…
Showing the 12 most recent of 731 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 · 3,2366 posts贝贝的报告
@beibeibaogao232366 · 513 posts悦悦的个人频道
@fmkl68 · 1,5633 posts悦悦哒阿贝贝
@https_6257 · 4863 posts泡泡🫧
@pppaaoo6687 · 1,0743 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 · 2,3592 posts理理的爱心小屋
@aixinxiaowu123 · 1981 post水墨坊老师频道
@fdbbe · 2,5261 post金 芮 ☺️☺️☺️空间
@jinbina18 · 8581 post甜甜的朋友圈
@xuelidepengyouquan1 · 5331 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 27 September 2026 — this entry's latest reading, not the date you are reading this.
“苏州茶馆老师报告” (@Szcgd), 26,470 subscribers as measured 27 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.