【时间】:2026-09-02 【老师】:念念 【留名】:Brianstar 制作人 【人照】:9 【颜值】:9 【身材】:9 【服务】:9 【态度】:9 【环境】:8 【综合】:8.83 【过程】:念念老师家里有一只猫还挺好玩的。上完课还跟猫逗了一会儿,玩了一会儿,回归正题。老师身高应该没有一米六,一米六左右吧?身材还算匀称,胸跟屁股的比例也很好,前凸后翘的,服务态度啊,各方面的服务水平也很好,反正我是挺满意的,毕竟整得我挺爽,必须择日复刷

Channel
上海武道大会报告榜单
@shwddhbgb
On this record: Topic · Growth · Engagement · Reactions · Posts · Citations · Cite this entry
23,906subscribers
-3,282 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 | -1002655739311 |
|---|---|
| Type | Channel |
| Username | @shwddhbgb |
| Created | Between 1 March 2025 and 31 July 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 19 September 2026 |
| Measurements held | 34 |
| Confirmed unchanged | 1 time, most recently 19 September 2026 |
| On Telegram | t.me/shwddhbgb |
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 60% 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 |
|---|---|---|
| 19 Sept 2026, 17:21 | 23,906 | -482 |
| 17 Sept 2026, 06:54 | 24,388 | -94 |
| 15 Sept 2026, 03:39 | 24,482 | -186 |
| 13 Sept 2026, 16:17 | 24,668 | -161 |
| 11 Sept 2026, 21:18 | 24,829 | -142 |
| 9 Sept 2026, 13:59 | 24,971 | -114 |
| 6 Sept 2026, 09:22 | 25,085 | -87 |
| 4 Sept 2026, 01:54 | 25,172 | -60 |
| 2 Sept 2026, 14:08 | 25,232 | -81 |
| 1 Sept 2026, 13:34 | 25,313 | -53 |
| 31 Aug 2026, 12:07 | 25,366 | -50 |
| 30 Aug 2026, 12:25 | 25,416 | -105 |
| 29 Aug 2026, 09:05 | 25,521 | -127 |
| 28 Aug 2026, 07:28 | 25,648 | -41 |
| 27 Aug 2026, 05:18 | 25,689 | -23 |
| 26 Aug 2026, 02:42 | 25,712 | -67 |
| 25 Aug 2026, 04:44 | 25,779 | -46 |
| 24 Aug 2026, 01:04 | 25,825 | -25 |
| 22 Aug 2026, 09:08 | 25,850 | -42 |
| 20 Aug 2026, 19:56 | 25,892 | first reading |
Engagement
37 posts held, back to 17 July 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
- 2.31%
- avg views ÷ 23,906 subscribers
- Avg views / post
- 552
- 6 posts measured
- Reaction rate
- 0.183%
- reactions ÷ views · ER floor
- Posts in window
- 6
- of 37 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 1 of 6 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 2 September 2026 |
|---|---|
| Posts held | 37 (17 July 2026 – 2 September 2026) |
| Views total | 3,309 |
| Reactions total | 1 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 3 Sept 2026, 10:34 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.
Reaction mix
4 reactions across 3 posts, in 1 kind.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 4 | 100.0% |
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 4 of the 37 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 4 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 37 most recent posts we hold, published 17 July 2026 to 2 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】:2026-09-01 【老师】:念念 【留名】:OliviaNikita 【人照】:9 【颜值】:9 【身材】:10 【服务】:9 【态度】:9 【环境】:9 【综合】:9.17 【过程】:看了群里兄弟写的报告,留意念念老师挺久了,正好今天在附近,提前和老师约课了。老师身材属于娇小型,身材凹凸有致,群里兄弟说念念老师服务特别好,今天也轮到我来验证一下了,老师的服务确实到位,胸部软软大大的,屁股圆圆的,干着爽爽的,二弟湿湿的。总结可以推荐前往,基本与群里兄弟的体验感有过之而无及😁,改天在附近还会去复刷👍
❤1
【时间】:2026-08-31 【老师】:小初 【留名】:jda 【人照】:9 【颜值】:9 【身材】:9 【服务】:10 【态度】:9.5 【环境】:9 【综合】:9.25 【过程】:教室在徐汇长宁交界处,很方便。无门禁 自由进出。小区很小 安静 好找 进门就看到一个那种很自然的美的妹子在等你,长发飘飘,照片相似度高。普通话还蛮标准的,小初很热情,会主动展示胸部和大屁股。跟验货一样哈哈 然后一起去洗白白,浴室是小初老师的绝对领域,刚输完口就被老师一顿大蟒蛇,这一对大奶贴在你的身上的感觉简直不要太好,鸡儿瞬间梆硬,然后就是销魂的水中销,这灵活的舌头,全方位包裹的口腔,我的天呐。 返回她两米的大床,挑了一身性感装,然后我就融化在她的温柔里了。在这重点表扬下小初老师的口活,不喊停不会停,而且非常温润,太温润了,太全面了,很久没有这种鸡鸡要融化的感觉,于是顾不上许多,立即带上武器开战。也是没想到,别看她小小一只,女上缺如此凶残,这大蟒…
【时间】:2026-08-30 【老师】:安以沫 【留名】:Nicole 【人照】:9 【颜值】:9 【身材】:9 【服务】:10 【态度】:10 【环境】:9 【综合】:9.33 【过程】:复刷 老师态度好,科室停车方便非常好找,直接进门的。进去寒暄之后就去洗澡,洗完床上调情,老师口活不错,而且口得很久,不叫停不停,想要的姿势,老师都比较配合,事后还会按摩放松、服务没得说推荐!!!
【时间】:2026-08-28 【老师】:小鱼鱼 【留名】:TaicitrinWel 【人照】:9 【颜值】:9 【身材】:10 【服务】:9 【态度】:9 【环境】:9 【综合】:9.17 【过程】:小鱼鱼老师人照 8 分左右,挺好的,水费 11 张,好停车,屁股大胸大,干的时候老师情绪价值给的挺足的,活塞运动的时候出水足,温润感十足,该有的服务都有,挺好的,干的时候一对大胸就在你面上晃呀晃呀晃,视觉冲击感十足,会复刷😍
【时间】:2026-08-26 【老师】:夹妃 【留名】:Double 【人照】:10 【颜值】:10 【身材】:10 【服务】:10 【态度】:10 【环境】:10 【综合】:10 【过程】:交通方便地方好找,进出通畅无门禁,房间灯光氛围音乐都是用心布置过的,拖鞋酒精消毒床上枕头会铺一次性床品,一进门看到这颜值和身材就知道这把稳了,全程都是笑盈盈的陪伴不冷场,胸又大又挺一开始还以为是科技,结果ls马上一个发力用胸肌来证明了确实是天然胸,一个巴掌的蚂蚁腰配上大翘腿,身材比例简直一绝,本人不喜欢繁琐的服务,就直接正面,ls舌头特别柔软和灵活,在耳朵胸前三角区丝滑游走,服务很细节把敏感部位都照顾到,口活确实一绝,着重说一下ls戴套的手法很特别,一点感觉都没有就穿好小雨伞坐上来,当时还以为没戴吓一跳,进去确实很湿很紧且阻力很大,还会控制一松一紧的抽搐,这种屌感又是一绝,没有坚持三分钟就被ls暴力出货。 总结:身材口活屌感都满分,会聊天…
【时间】:2026-08-24 【老师】:一琳 【留名】:ssnju 【人照】:8 【颜值】:8 【身材】:9 【服务】:10 【态度】:10 【环境】:8 【综合】:8.83 【过程】:在榜单上看到老师,是我喜欢的类型,果断约上出击,课室很好找,上楼后老师穿的包臂裙,衬托出身材的曲线大腚尤为突出。老师挽着我的手臂去沙发上,给我水,交了水费,我们一起淋浴,老师的服务没得说,这个价位目前来说没有遇到过老师服务这么好的,因为约的PP,先来了一发口爆,还是浴室来的,洗好后休息十几分钟,老师开始调情,摸我的蛋蛋,奶头最后又舔我的奶头,我也忍不住吃老师的奶,跟老师做爱有一种偷领家老婆人妻的感觉,非常刺激,老师够骚,够专业,服务够好,好评
【时间】:2026-08-23 【老师】:小鱼鱼 【留名】:Annatsi 【人照】:10 【颜值】:10 【身材】:10 【服务】:10 【态度】:10 【环境】:9 【综合】:9.83 【过程】:科室私密性不错,住宅小区好停车。老师看着就是个骚的不明显的小少妇,特别是直接映入脸眼帘的那一对小白兔,第一眼看到就有想给他直接扒光的感觉。洗完澡,老师会帮忙擦干,忍不了了,上床直接干正事,光是看到老师的身材已经有很大的反应了。老师口活很好,吹了几下,直接 12 点钟方向了,哈哈。赶紧带上小雨伞开干,中间换了好几次姿势,特别后入的时候,老师的一对酥胸晃啊晃的。别提视觉冲击有多大,过了一会就出货了,很爽,下次还来,老师服务真的很到位,硬件标准也很好,灵的灵的,验证了我的猜想,老师还真是个骚骚的小少妇,赶紧自己才找通关秘籍吧😁😘
【时间】:2026-08-18 【老师】:小初 【留名】:Log 【人照】:9 【颜值】:9 【身材】:9 【服务】:9.4 【态度】:10 【环境】:9 【综合】:9.23 【过程】:今天刚好在附近约了小初老师,可能是因为提前到,很多东西没有先拿出来,略显仓促,但马上就被老师的服务征服了,不愧是号称顶级服务,出来就是一段妖艳至极扭屁股舞蹈,奶子丝滑擦过我的ab面,随后就是躺下,老师就开始b面先给我按摩,然后开始指划,鼻划哈气,然后开始舔遍全身,那种酥酥麻麻的感觉真不一样,非常舒服的感觉啊,后面就是正戏,开始帮我口,在我跪姿时老师突然从我大腿之间穿进来一口含住老二,我反应过来的时候老师已经用嘴深喉抽插我的老二,真的就差一点被老师当场拿下,完全没有齿感,幸好我忍住了,随后吃奶子舌吻摸豆豆老师也是爽的不要不要的反馈很到位,继续翻过来a面又开始舔吸,舔满全身,然后开始含住老二,开始侧吹真的忍不住了,各种花活口爆技术都用上了,最后就是倒…
【时间】:2026-08-16 【老师】:冰冰 【留名】:Codm666 【人照】:9.9 【颜值】:9.5 【身材】:8.5 【服务】:10 【态度】:10 【环境】:9 【综合】:9.48 【过程】:约了ls下午的课,进门人照一致,个子高挑,年轻漂亮有魅力。脱衣蛮有料,前凸后翘,皮肤白皙,胸大概C,摸起来软软的,妹妹是蝴蝶户型,毛量少,抽插观感不错,另外口活很好,搭配精致面容和nice身材,赏心悦目,搞得鸡儿邦邦硬,而且身体柔软,每个姿势都很舒服,最后美美起飞。有一说一,ls颜值确实能打,情绪价值也够,所以年少不知精子贵,要给就给好的妹妹。
【时间】:2026-08-14 【老师】:小初 【留名】:匿名 【人照】:8.8 【颜值】:9 【身材】:9 【服务】:9.5 【态度】:9 【环境】:9 【综合】:9.05 【过程】:出击小初老师,人照算相符,身材棒,胸很挺,天然大胸。房间一直保持得干净整洁,氛围温馨。老师服务非常用心,从前戏到结束都贴心照顾对方的感受。把控节奏强,前戏给的足,口活从上到下时间特别长,感觉都要爆出来的节奏了。不会敷衍了事!床感顶级,身体柔软又有弹性,抱起来特别舒服。床技方面她既主动又极具天赋,唇舌湿热灵活,吸得又深又紧;下面更是销魂,会主动用力夹吸,像一张贪婪的小嘴般紧紧裹住,节奏感一流,逼水多,又滑又热,随着激烈的撞击不断发出淫靡的水声。浪叫销魂那种灵魂都被吸走的极致快感,简直让人欲仙欲死、难以忘怀。 整体体验极致满足,既有清纯漂亮的外表和丰腴身材带来的视觉享受,又有满满的情绪价值和顶级床技带来的双重快乐,绝对是让人念念不忘的优质老师。 …
【时间】:2026-08-12 【老师】:温迪咖啡 【留名】:Roy 【人照】:9 【颜值】:9 【身材】:9 【服务】:10 【态度】:10 【环境】:9 【综合】:9.33 【过程】: 兄弟们已经多次推荐,终于有空能约上妹妹,早早来到课室,开门妹妹果然跟频道一样,标准嫩妹,年轻很有生命力。跟妹妹聊聊天,自然的去洗澡,上床。做爱很自然,妹妹很认真的福利,查抽插反应很真实,正面看着视觉冲击感很强,今天鸡儿很敏感,最后实在忍不住了,跟妹妹在舌吻中尽情释放。完事之后跟妹妹有说有笑聊了半天才不舍得离去,赞,值的返吃的好妹妹
Showing the 12 most recent of 37 posts we hold for @shwddhbgb. 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.
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.
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 19 September 2026 — this entry's latest reading, not the date you are reading this.
“上海武道大会报告榜单” (@shwddhbgb), 23,906 subscribers as measured 19 September 2026. Telegram Register, tgregister.com/channel/shwddhbgb.
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.