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Channel

《玉蒲团》群莺册(沪、杭)

@yuputuan6677

On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Handles named that no longer answer · Cite this entry

2,990subscribers

+232 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 1,000–3,162.

Register entry

Telegram ID-1003583817383
TypeChannel
Username@yuputuan6677
CreatedBetween 1 December 2025 and 31 May 2026— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live16 August 2026
Measurements held5
Confirmed unchanged1 time, most recently 16 August 2026
On Telegramt.me/yuputuan6677

Growth

2,7582,9902,8746 August 2026 — 2,758 subscribers7 August 2026 — 2,767 subscribers10 August 2026 — 2,821 subscribers13 August 2026 — 2,887 subscribers16 August 2026 — 2,990 subscribers6 August 202616 August 2026
5 measurements spanning 10 days, net +232. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between — snapshots are recorded only when a count changes, so gaps mean “no change observed”, never “interpolated”. The vertical axis spans 2,723–3,025 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
16 Aug 2026, 21:182,990+103
13 Aug 2026, 09:082,887+66
10 Aug 2026, 05:202,821+54
7 Aug 2026, 06:122,767+9
6 Aug 2026, 20:322,758first reading

Engagement

12 posts held, back to 21 July 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 2 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
87.9%
avg views ÷ 2,990 subscribers
Avg views / post
2,630
12 posts measured
Reaction rate
0.038%
reactions ÷ views · ER floor
Posts in window
12
of 12 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 10 of 12 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 6 August 2026
Posts held12 (21 July 20266 August 2026)
Views total31,537
Reactions total11
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Aug 2026, 16:11 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
7s
Average length
7s

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

11 reactions across 6 posts, in 1 kind.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
11100.0%

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 10 of the 12 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 11reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 12 most recent posts we hold, published 21 July 2026 to 6 August 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

6 Aug 2026, 09:11 UTC317 viewsread 7 August 2026
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芳名:#洛青梨 位置:#闵行 电报号:@luoqingli1 水费:1200P(二刷) 【过程描述】 想着头次去洛青梨处她的绝美大胸以及窈窕身姿外加混血的面容深深吸引着我,趁其开课没两天,心痒难耐直接提前约定时间。 烈日的炙烤也阻止不了前行的动作,透凉的课室,室内薄纱的洛青梨,真像一口透明的青梨,让人忍不住想咬一口。拿出买好的瑞幸,两人沙漏落座闲聊一会,手也不老实抚摸大胸,不一会乳头梆硬如铁。 照列自己洗完,帮你一起擦干下,看她裸体的大奶蹦来蹦去,我说不用服务了,咱们聊会天、抚摸下,性起了,直接开干。她也嫣然一笑,大胸贴身过来,头依靠在肩膀,闻着她的青丝、抚摸她的头发、吸着她幽香的体味,直接翻身上马,舌吻、舔一舔乳头以及阴蒂,直到发硬水流时,让其直接戴好女上,不得不说逼逼还是如此的水灵、后入时如此的能吸会夹、传教士良好的脸部表情迷离多汁,努力夯杀十几分钟,软瘫在她的胸膛,亲吻着波波,说着悄悄话。

1 Aug 2026, 10:18 UTC876 views0 reactionsread 7 August 2026
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一枚来自成都的 “视频大网黄” 嫩妹 御姐 外围 通吃 喜欢拍黄色小视频,他的频道进去就出不来啦! 点此查看部分作品 点此关注云长频道 云长刚回归 猛攻中…… 云长出品必属精品!

30 Jul 2026, 08:21 UTC≈1,770 views0 reactionsread 7 August 2026
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芳名:#小孙俪 位置:#普陀 电报号:@jiaojiao65888 水费:1600/P 看到小孙俪开课,脑袋不由想起第一次去的时候藏青色紧身衣下凸显的绝美乳房,脑中一下子挥之不去、下面瞬间起立。约好时间出发,还是熟悉的接人方式,第一眼相见,发出表扬声:“你比第一次好看多了。”小孙俪笑而不语,说道:“这是我化好全妆的,上次有心事,妆可能没补好。” 好吧,照样沙发落座,看着绝顶大灯在白色晴纶紧身衣下凸显的犹如三山五岳以及头上微凸的小葡萄粒,我拿过她的手说道:“你摸摸看,看到你的胸,不知不觉硬了,在我见过的胸里面数一数二的存在。”她笑嘻嘻,看着她细枝硕果的身材、特别是紧身衣下包裹不住的大灯,饥渴难耐,光这一对极品胸就值不少钱了,对于匈奴人简直不可控,更何况对于我这种非匈奴人的杀伤力。 立马脱衣洗浴,她在外穿好我选的战袍,看着反光精美的白皮,白嫩相加的大胸外加无瑕的美腿,抱着拥入卧室,她还是那么爱干净,湿巾

24 Jul 2026, 14:16 UTC≈1,410 views3 reactionsread 7 August 2026

【位置艺名】:普陀岚岚 【联系方式】:@lanlan00a 【喝茶留名】:徐錦江 【喝茶时间】:2025 年 8 月 【喝茶价格】:1300(水群有优惠 100-200) 【芳龄身高】:21 165 【罩杯手感】:看星级 【服务内容】:看星级 【优点缺点】:看星级点评 【体验细节】: 蓝(岚)凤凰淫遇记 打开小窗口预约,被情商极高的大眼甜妹岚岚三句话彻底打动,现在回想说话的细节方式以及实地验证,如果包装打扮一番确实有点像最美蓝凤凰了(后面蓝我直接用岚代替)。 岚凤凰说话耳人心印,在群里又是八面玲珑,突显其洞明能力确实不低,后面一句我就是看迈克尔·杰克逊伴舞才接触徐錦江的,神似的人物… 敲定时日,两人入得室内端坐一起,岚凤凰极其热情,真的犹如蓝凤凰一样颇具好客之意,洁白的小手拉着我黝黑的大手分外有力,岚凤凰雪白的大腿二郎腿坐姿,看的我是心花怒放,心猿意马,大手不听话地“啪” 一声往

3

24 Jul 2026, 13:53 UTC≈1,080 views2 reactionsread 7 August 2026
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名字: #岚岚 位置: #普陀 老师电报号: @lanlan00a 水费:1300p 硬件: 颜值 4(人照 8分, 小圆脸尖下巴甜妹笑容脸蛋,笑容真实,俏皮,大眼睛,小波浪头发,有点骚浪贱潜质,眼神有魅魔感) 妆品 4(略卡粉,粉底适中,睫毛自然) 身高体重 165cm 45kg(身材) 皮肤 4(整体白皮,软嫩,背部皮肤略显黄,背部略微有痘坑,无纹身) 胸 3.5(B,自然挺,正常垂度,乳头乳晕适中敏感会变大和硬,正常颜色不黑,又白又嫩,) 腰 4(腰线不错无赘肉,站立腹部无赘肉,女上一丢丢赘肉不明显,扶腰,搂腰不错) 臀 4.5(小肉弹大白翘臀,软嫩 Q 弹,后入臀浪明显) 腿 4(正常腿型,大白腿,反光那种,又嫩又白) 足 3.5(正常足,这不是我注意的点) 逼 4(枝繁茂盛阔叶林带,逼毛扫腿触感强「自己提」蝴蝶逼,大阴唇正常黑色素沉淀,阴痘不大往里缩,) 软件: 陪浴 4(事前事后帮洗,帮

2

24 Jul 2026, 10:31 UTC973 views1 reactionsread 7 August 2026
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芳名:静安 MiCo 电报号:@MiCobaby6 水费:1200+300(舌吻 69) 硬件方面: 颜值,妆品,皮肤⭐️⭐️ 和频道视频 9 分像,去除美颜磨皮基本人照无差,属于甜美型,配上一头短发,灵魂摆动,活力十足,甚是可爱。妆品很好地体现了甜御风,凸显配合短发本色出演甜御型御姐,粉底适中,无明显飞粉与结块,轮廓清晰。 皮肤:正常黄皮,手感丝滑温润,无纹身,无明显疤痕。 ——————— 身高体重 168cm 47kg 身材:胸,腰,臀,腿️⭐️⭐️✨ 胸:纯天然D,手感软嫩,触感很棒,胸型天庭饱满不垂美丽,有细枝硕果之感。乳头乳晕稍小,色正常。 腰:有曲线,小腹有肉但平坦,无明显赘肉感。 臀:臀部站立微翘臀,跪姿弧度不错,有臀窝,手感触及良好。 腿:腿型较修长,皮肤滑嫩,比例匀称。 ———————— 足,逼⭐️⭐️ 足:没细看,正常足,挺小巧。 逼:激光白虎,阴阜上面一小搓芳草地,准备做个造型,干脆染个

1

24 Jul 2026, 07:00 UTC904 views1 reactionsread 7 August 2026
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芳名: #王锦鲤 位置: #闵行 电报号:@luckypy521 水费:800P(二刷) 【过程描述】 有时还是挺想念王同学的健身身材以及丰满的大臀的,提前一天约好,买好美式提提神,按照指引迅速落座。 二刷我基本喜欢随意、随性,凭感觉走,在熟悉的地方再次相见,她略带透明的丝质睡衣让乳头若隐若现,甚是吸引人,凉爽的室内洗去热意,褪去衣物,帮忙洗净,刷牙洗脸,窃喜躺在床上,她让我躺着B面服务,我说不需要,都这么熟了,随意点,聊聊天也挺好。这时东北人的爽朗豪迈性格出来,聊的很是舒心,顺便搂搂抱抱以及抚摸,水到渠成帮忙口了良久,顺势做爱,女上依然紧致,后入大臀依然巧妙,屌感美妙!最后在传教士主动让我用力顶、继续顶,我能下体明显感觉她内部的剧烈收缩以及暖流的刺激下美美出货。王同学的屌感以及口活很棒,每次都能让人美美出货,她的臀部也丰满,性格也豪爽不扭捏。这也是让我复刷的根本!

1

24 Jul 2026, 06:59 UTC907 views1 reactionsread 7 August 2026
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名字: #王锦鲤 位置: #闵行 电报号: @luckypy521 硬件: 颜值 3.75(人照 8.5 分,去除美颜磨皮瘦脸就是本人,脸型轮廓与照片一致,御姐风感觉略带了一丝少妇味道,无风尘味,时常健身脸部皮肤状态不错) 妆品 3.75(整体淡妆,未见明显卡粉,粉底很少,妆态自然契合) 身高体重 163cm 48kg(身材) 皮肤 3.75(黄皮,由于健身手感整体紧滑,皮肤状态不错,右脚有一处小纹身,未见明显疤痕) 胸 4( 天然B,胸型挺,软嫩。乳头适中,乳晕小,色正常) 腰 3.75(有曲线感,小腹平坦微隆有少妇感,女上蹲坐趴着舌吻小腹略有折叠) 臀 4.5(略宽跨健身臀,有蜜桃🍑感,背对后入蜜桃明显加之后背线条明显,视觉不错,拍打清脆,后入臀浪明显) 腿 4(健身紧致腿,不粗,手感紧致滑,比例匀称,穿着吊带黑丝配合蜜桃臀太有感觉了) 足 3.75(正常足,正常足弓,无美甲) 逼 4(毛量针叶落

1

24 Jul 2026, 03:20 UTC≈13,300 views0 reactionsread 7 August 2026
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芳名: #邪恶 位置: #虹口 电报号:@Malajixiee99 水费:1900P(二刷) 【过程描述】 一刷时的放浪形骸,让人欲罢不能,事后线上闲聊:“饿了我就找你。”表现真是欲女无限,像是要把人吃了。 本来约好在一个特定时间二刷,怎奈事出有因,说道:“昨夜被人干了一宿,没得水了,得休息一番。”心情虽然低落,但也理解,手指坚硬地打了几个字回道:“好的,待你状态饱满时再厮杀一番。” 深夜,当我刷着手机,看到她突然信息飞过来:“宝贝,我饿了,我想你来喂饱我。”当看到这行字时,心里既高兴又有点哭笑不得甚至有些不知所措,真是“欲望的人妻”。我也回道:“地址发过来,几点我会到。”心中有些窃喜,没想到性福来的如此突然,想到她在床上那种欲罢不能、迷离享受的神态以及下体疯狂配合下的水漫金山的接触感,这种性爱当真不得多,遥想此情此景也就在几年前的一位炮友身上发生过。 刷好牙,冲个澡,路上想了下待会该怎么

24 Jul 2026, 01:11 UTC≈2,010 viewsread 7 August 2026
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芳名:#夏雨荷 位置:#普陀 电报号:@xiayuhe1314 水费:1200/P 【硬件描述】 颜值 ⭐️⭐️✨ 有点清纯感的颜值系御姐,心形脸,长发及腰,五官突出靓丽,轮廓明显较生动,个人觉得颜值有些类似瑜伽CC,美人尖下巴,人照8分,脸部皮肤状态不错。妆品精致,颧骨周围妆品在灯光下略泛红,睫毛修长,遮瑕度不错,粉底适中,无卡粉。 皮肤⭐️⭐️✨ 黄白皮偏黄,手感松软较滑,肤色均匀,无明显疤痕,无纹身。 —————————— 身高体重 171cm 52kg 身材概述⭐️⭐️✨ 天然D胸,正常挺拔度,手感如脂肪般软嫩,乳头适中、乳晕较大,乳头色偏深一点,乳晕色较淡。胯窄型身材,后入曲线尚可显肩宽,小腹平坦较松软,无明显赘肉,腰两侧亦无明显赘肉。臀部胯不宽、有肉,臀型不大翘。正常腿型显长,配合此身高显细,比列匀称优越。 足与逼⭐️⭐️ 希腊足,正常码数,有美甲。阴部毛量针叶阔叶林较浓密,阴唇处毛量减少,正常蝴蝶户型,外阴

22 Jul 2026, 13:39 UTC≈3,030 views0 reactionsread 7 August 2026
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芳名:#米米 位置:#闵行 电报号:@x87679437 水费:1200/P 双飞妹妹:@ReneHart2012 【硬件描述】 颜值 ⭐️⭐️✨ 松弛感美学的高级形态,眼距较宽与较饱满唇形带来的立体美感,自带一种毫不费力的慵懒,她不需要刻意发力,光是站在那,那种裹挟着微醺与厌世的破碎感,就足以构成一场致命的视觉绞杀,是业内最无法被模仿的风情孤品,笑起来“舒淇”是她的形容词,洗浴以及事后两眼相对时、最后出走时,其实她给我有一种《逃出克隆岛》里面黑发版与麦肤版女主斯佳丽配合稀疏刘海慵懒风长发,这是带给我最直立的感觉,脸部线条轮廓明目清晰流畅,骨相棱角分明较硬朗,识别度高,双目含情脉脉带慵懒,人照 8 分,脸部皮肤状态不错。素淡微醺妆,粉底不厚,无明显卡粉,个人感觉较素颜了反而露出本真,使得脸部轮廓线条越发展越清晰。 皮肤⭐️✨ 黄皮小麦肤,手感较紧致有支撑力,纹身不少,未见明显疤痕,内热体质后背有痘痘。 ——————————

21 Jul 2026, 02:52 UTC≈4,960 views3 reactionsread 7 August 2026
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芳名:#邪恶 位置:#闵行 电报号:@Malajixiee99 水费:1900/P 【硬件描述】 颜值 ⭐️⭐️ 成熟女人的味道,熟欲人妻风,背影很是勾引人,椭圆型脸蛋吧,进门床边端着脸、她仰头看着你,拇指在她口中搅动,附着美瞳的双眼,脸上表情很欲、眼含春水,活脱脱就像是AV片里的北条麻妃被人端着脸一样的感觉,嘴唇厚实饱满、红唇烈焰,骨相突出明显,有时气息就像县长夫人,有点野蛮又横霸,人照8分(照片艺术成分挺高),脸部皮肤状态尚可。成熟风的较艳丽妆容,醒目突出,遮瑕度尚可,粉底不厚,欲望之妆吧。 皮肤⭐️⭐️✨ 黄皮,手感紧致很顺滑,肤色均匀,没看到明显疤痕,也无看到纹身。 —————————— 身高体重 161cm 49kg 身材概述⭐️⭐️⭐️ 天然D胸,挺拔度好,视觉良好,手感偏乳腺,乳头、乳晕适中,色偏粉。沙漏身材,曲线很好,小腹平坦,有模糊马甲线。无明显赘肉。臀部胯宽、有肉且翘显蜜桃🍑,质地紧致。正常腿型,粗

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Showing the 12 most recent of 12 posts we hold for @yuputuan6677. 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.

Citation-graph rank

Citation-graph rank — 395,817 of 1,548,671entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.

Mentions

Named by 2 registered channels — every channel on the register whose own posts have named this one, by its current username or any other username it currently holds, merged from two separately captured readings of the same fact so a namer caught by only one of them is not missed and a namer both caught is not counted twice. A username this channel has since dropped is not matched — that handle may belong to someone else now, and crediting today’s namer to yesterday’s owner would misattribute it.

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 16 August 2026 — this entry's latest reading, not the date you are reading this.

“《玉蒲团》群莺册(沪、杭)” (@yuputuan6677), 2,990 subscribers as measured 16 August 2026. Telegram Register, tgregister.com/channel/yuputuan6677.

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.