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Channel

西湖歌舞几时休(杭州女仆测评)

@whointheworldami

On this record: Topic · Channels linked by matching posts · Growth · Engagement · What this channel posts · Reactions · Posts · Posts recorded as deleted · Citations · Cite this entry

21,676subscribers

+5,389 since we began measuring on 8 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1002516534997
TypeChannel
Username@whointheworldami
Description女仆玩家群: t.me/whointheworldareu 女仆榜单频道: t.me/standingmanhz 女仆工兵频道: t.me/ainvjigb
CreatedBetween 1 March 2025 and 31 July 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded8 August 2026
Last confirmed live12 November 2026
Measurements held62
Confirmed unchanged1 time, most recently 12 November 2026
On Telegramt.me/whointheworldami

Topic

Other / unclassifiable — 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 74% 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.

Channels linked by matching posts

This channel is in a group of 2 registered channels linked by matching posts. Links are found by comparing text fingerprints across every channel on the register.

Which channel, if either, published first is deliberately not shown in this list. “First” could only mean first in our own crawl, which depends on how deep we happened to reach into each channel’s history, not on when the content was actually first posted. Our one hand-check read 45 of the highest-confidence flagged pairs against the live Telegram pages. In 18 of them the live page showed a “Forwarded from” credit that our database had no record of, so reading that pair as an unattributed copy was wrong; the check did not measure who published first. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Near-verbatim matching has several ordinary explanations besides copying — a channel mirroring itself, an unattributed repost, or two channels independently repeating the same wire story — and this measurement cannot tell those apart. How this is measured.

Growth

16,28721,67618,981.58 August 202612 November 2026
62 measurements spanning 96 days, net +5,389. 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 15,479–22,484 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 62
Measured (UTC)SubscribersChange
12 Nov 2026, 08:0421,676+296
10 Nov 2026, 08:5621,380+90
8 Nov 2026, 20:4121,290+179
7 Nov 2026, 12:1821,111+136
6 Nov 2026, 09:1520,975+111
5 Nov 2026, 09:4620,864+140
4 Nov 2026, 06:1520,724-93
3 Nov 2026, 03:0920,817+131
2 Nov 2026, 00:4520,686+112
1 Nov 2026, 01:5820,574+109
31 Oct 2026, 03:4920,465+134
30 Oct 2026, 02:0820,331+66
28 Oct 2026, 23:1220,265+110
27 Oct 2026, 22:0720,155+112
26 Oct 2026, 20:4520,043+64
26 Oct 2026, 00:0619,979+113
24 Oct 2026, 21:2719,866+146
23 Oct 2026, 21:1719,720+121
22 Oct 2026, 18:1119,599+131
21 Oct 2026, 17:0819,468first reading

Engagement

277 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 78 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
3.20%
avg views ÷ 21,676 subscribers
Avg views / post
694
64 posts measured
Reaction rate
0.12%
reactions ÷ views · ER floor
Posts in window
64
of 277 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 24 of 64 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 14 November 2026
Posts held277 (6 August 2026 – 14 November 2026)
Views total44,407
Reactions total24
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken14 Nov 2026, 07:17 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
≈2,340
Videos
≈1,240
Links
≈1,160

Lifetime counters from Telegram’s own channel header, read 14 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
25m 39s
Average length
10s

Measured directly from 153 videos 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

108 reactions across 83 posts, in 4 distinct kinds. The most used accounts for 92.6% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤10092.6%
🔥43.70%
👍32.78%
👏10.926%

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 277 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 108 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 277 most recent posts we hold, published 6 August 2026 to 14 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: 2 of 64 posts held from the last 30 days (3.13%) 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).

14 Nov 2026, 05:51 UTC220 views2 reactionsread 14 November 2026
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#No2251 店铺:#跳跳糖 女仆:#小星 💯评分标准(点击查看) 评分等级:#B级 店铺资料:t.me/TTTangNPG 类型:#萝莉 价格:500/h 出击人:Padishah Shahanshah 出击时间:2026.11.12 环境:小区 人照相似度:人照5,AI照 罩杯:胸C 身材:细枝硕果 身高:160 体重:86 皮肤:较白,很弹,很滑 态度:A,需要一定主动性,配合度还行 聊天交流:聊得还行 敏感处: 腋下 抽烟:无 纹身:无 唇钉舌钉:无 吻技:吻技尚可 🌱初见 女仆圈最难受的事情莫过于明明购物车还一堆人,结果愣是一个也去不了。最近我就碰上这种情况。不过原本只在周末限定出现的跳跳糖小星突然出现在了周四,看购物车里其他人大部分依然去不了,而小星的四个钟里后面两个钟依然空着,想来想去还是先去这种预约难度高的,便先约了个尾钟。 路上研究小星测评,看这些测评大部分都说小星的人照还是有差距的。我突…

❤2

14 Nov 2026, 05:40 UTC146 viewsread 14 November 2026
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#No2250 店铺:#迷之魅惑 女仆:#娜娜 💯评分标准(点击查看) 评分等级:#B级 店铺链接: t.me/mzmh999 店铺资料: t.me/standingmanhz/1026 类型:#bbw,屁股大,有腰,偏胖一点 出击人:#Willard Cruz 出击时间:2026.11 环境: B,小区房 人照相似度:人照7.5 罩杯:胸d,很软,乳头大且易硬 身材:bbw,臀部大,很丰满 身高:162 体重:目测在120左右 皮肤:白度(较白);弹性(正常);平滑度(正常)。 态度:S,配合度拉满,尺度范围内的有求必应,情绪价值也高,跟主动 聊天交流:会主动找话题 敏感处: 熊,下面 抽烟:无 纹身:很小一点点 唇钉舌钉:无 吻技:吻技一般,时间长,大蟒蛇 🌱初见 下午闲来无事,看到娜娜的工兵,心痒难耐,果断联系出击。客服回复很及时,指引各方面也准确,很快进门相见。妹妹穿着紫色小妈群在房间,见到第一眼就热情主动…

14 Nov 2026, 05:12 UTC274 viewsread 14 November 2026
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#No2252 店铺:#小鲤鱼 女仆:#小水 💯评分标准(点击查看) 评分等级:#B级 店铺链接: t.me/xiaoliyuhahaha 类型:#高挑御姐 出击人:#Ethan 出击时间:2026.11.12 环境: A,居民楼 人照相似度:人照8,人照无差 罩杯:胸B 身材:大长腿 白嫩 身高:173 体重:105 皮肤:白度一般,但是皮肤很光滑,年轻的胶质感。 态度:A,配合度很高。 聊天交流:交流很顺畅 敏感处:大腿内侧,右胸(非常搞笑一点,妹妹左胸不敏感,右胸特别敏感) 抽烟:有,未闻到烟味 纹身:无 唇钉舌钉:无 吻技:中蟒蛇,但可以一直亲。 🌱初见 妹妹的摩卡上,白裙子很吸睛,腿很长、很性感。到了,真人一看,依旧大长腿,但是风格完全不一样,她本人是那种很酷、很飒的风格。妹妹很热情,会和你打招呼并簇拥着你进房间。其自述已经做过一段时间了,但言语上一点都不油腻。反倒呆呆的,显得比较可爱。 🔥过程 妹…

14 Nov 2026, 05:01 UTC185 viewsread 14 November 2026
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#No2249 店铺:#红果 女仆:#小水 💯评分标准(点击查看) 评分等级:#B级 店铺链接: t.me/Hongguo_nvpu 店铺资料: t.me/standingmanhz/1696 类型:#邻家妹妹 出击人:#Dorotha Janet 出击时间:2026.11 环境:a 人照相似度:人照8 罩杯:胸b 身材:匀称,臀部大 身高:173 体重:110左右吧 皮肤:白度(正常)弹性(正常),平滑度(正常)。 态度:b+,配合度还挺不错的 聊天交流:句句有回应,也不是太e的 敏感处: 胸 抽烟:无 纹身:无 唇钉舌钉:无 吻技:吻技一般,时间长,小蟒蛇吧 🌱初见 晚上心痒难耐,打开飞机开始找人,本来是不打算找小水的,摩卡不是我喜欢的,不过ot的大长腿吸引到我了,而且感觉还不错,于是约好时间出击,到店已经在床上躺着等我了,比我想象中的要大只,因为很高,画了个浓妆,感觉本人淡妆会更好看,人很主动, 🔥过程 …

14 Nov 2026, 04:29 UTC322 viewsread 14 November 2026
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#No2248 店铺:#迪士尼 女仆:#渔渔 💯评分标准(点击查看) 评分等级:#A级 店铺链接: t.me/Disney798 店铺资料: t.me/standingmanhz/1662 类型:#邻家妹妹 出击人:#lihuali11 出击时间:2026.11 环境: A,小区房 人照相似度:人照8.5 罩杯:胸B 身材:人微胖,没看到屁股,胸很软,白,匀称 身高:158 体重:90左右 皮肤:白度:很白,弹性:较弹,平滑度:很滑。 态度:A 聊天交流:很会聊天,基本不冷藏 敏感处: 未发现 抽烟: 未闻到烟味 纹身:无 唇钉舌钉:无 吻技:大蟒蛇,能一直亲,大舌头很柔软 🌱初见 看到渔渔的模卡就一直想去,无奈最近比较水逆,耽误了几天,终于选择了合适的日子出发,到小区门口出了点意外,最后又绕到另一个门才进去,大楼有梯控,需要呼叫,等电梯的时候有个很靓眼的小姑娘上楼,心里就想要是能体验她就好了,结果等到了客服领人过…

14 Nov 2026, 03:58 UTC360 viewsread 14 November 2026
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#No2247 店铺:#初见 女仆:#元元 💯评分标准(点击查看) 评分等级:#C级 店铺链接: t.me/chujian1234567 店铺资料: t.me/standingmanhz/1577 类型:#女大 出击人:taro 出击时间:2026.11.22 环境: 外派到家 人照相似度:人照7 罩杯:胸A 身材:人瘦,腰细,腿细 身高:170 体重:90 皮肤:白度正常 平滑度很滑 态度:S 态度很端正 可能是副业是直播带货的,一直在叫哥哥 聊天交流:挺能聊的 敏感处: 胸挺敏感的 抽烟:无 纹身:无 唇钉舌钉:無 吻技:吻技不错,时间长,小蟒蛇 🌱初见 确认是女大,大四。说自己要考研来着,但完全没在学,说明年再考。长得还是挺不错的,大概就是走在大学里在人群里会注意到的那种。人照给了7分是因为模卡太漂亮。 🔥过程 态度不错,进门先去厕所换了套战袍。 中间就是正常流程吧。尺度的话可以不留甲,但不能裸蹭,…

13 Nov 2026, 15:22 UTC541 viewsread 14 November 2026
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#No2246 店铺:#海绵宝宝 女仆:#心心 💯评分标准(点击查看) 评分等级:#B级 店铺链接: t.me/haimianbaobaoFamily 类型:#邻家妹妹 出击人:#黑衣人 出击时间:2026.11 环境: B,虽然是下沙老式公寓,收拾的很干净 人照相似度:人照9 罩杯:胸B,稍软 身材:人瘦,臀部大,腰细,腿细 身高:168 体重:90 皮肤:较白光滑 态度:A 敏感处: 呃,暂没发现 抽烟:不抽烟不喝酒 纹身:无 唇钉舌钉:无 吻技:呃,可能中班转大班没多久,可能我最近抽烟比较多烟味比较大,就浅浅亲了下 🌱初见 本来工作有事情暂时走不开,想让妹妹外派过来的,无奈新店可能不太想给新客外派,只能到店,就简单快速处理下工作打车前往,没办法,他们店里几个妹妹都比较合眼缘,按说我也是蛮挑剔的,难得见有家店距离比较远还有让我有冲动过去看一下的想法,四十多分钟到达熟悉的楼下,曾经这里出名的几家店也光顾过,可惜都…

13 Nov 2026, 15:04 UTC594 viewsread 14 November 2026
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#No2245 店铺:#pupu 女仆:#璐璐 💯评分标准(点击查看) 评分等级:#B级 店铺链接: t.me/SCpupu_exchange 店铺资料: t.me/standingmanhz/1171 类型:#清纯系素人 出击人:#chalice 出击时间:2026.11 环境: B,loft 人照相似度:人照8 罩杯:胸b 身材:上半身瘦,下半身有肉,屁屁圆圆有肉感,腰臀比不错 身高:168 体重:98 皮肤:白度较白,弹性Q弹,平滑度很滑 态度:A,配合不错,蛇蛇管饱,可动手办,芝士随便摆 聊天交流:沟通0障碍 敏感处: 耳朵,后背,腰侧,小花园 抽烟:有,未闻到烟味 纹身:左臂小块 唇钉舌钉:无 吻技:吻技中上,时间长,我不停她不停,中蟒蛇吧,投入又带着克制 🌱初见 又是降温天,又是需要妹妹温暖的一天,看到pu家上新,问了又是首钟,正好培训瘾又上来了,即刻出发。来过好几次pu家,每次都停垃圾桶旁边都停出感情…

13 Nov 2026, 14:56 UTC562 viewsread 14 November 2026
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#No2244 店铺:#pupu 女仆:#璐璐 💯评分标准(点击查看) 评分等级:#B减级 店铺链接: t.me/SCpupu_exchange 店铺资料: t.me/standingmanhz/1171 类型:#邻家妹妹 #清纯可人 价格:工兵450/h 出击人:#cdd 出击时间:2025.11 首次服役时间:2025.11 环境: B,迁小区房 人照相似度:人照9 罩杯:胸B,稍软 身材:人瘦,臀部大,腰细,腿细 身高:168 体重:98 皮肤:很白,很弹,超滑 态度:A,较高 聊天交流:沟通顺畅 敏感处: 耳朵脖子 抽烟:有,未闻到烟味 纹身:有(后背) 唇钉舌钉:无 吻技:吻技一般,时间长,小蟒蛇 🌱初见 看妹妹摩卡挺好看,又是刚刚上新的素人,大晚上本以为已经约满了,询问客服后得知该有空档,就果断预约了。到房间后,一位身材高挑,穿着短裙,皮肤白皙冷白皮,脸型小巧精致的青春美少女走了进来。脸看起来比摩卡更…

13 Nov 2026, 02:32 UTC822 viewsread 14 November 2026
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#No2246 店铺:#pupu 女仆:#静静 💯评分标准(点击查看) 评分等级:#B减级 店铺链接: t.me/SCpupu_exchange 店铺资料: t.me/standingmanhz/1171 类型: #清纯甜妹 价格:450/h工兵价 出击人:#泡沫 出击时间:2026.11.10 环境: lof公寓 人照相似度:人照8分,真人更好看 罩杯:胸A+ 身材:人瘦,腰细,腿细 身高:163 体重:90 皮肤:白度较白,弹性较弹,平滑度正常。 态度:A,配合度A 敏感处: 胸部乳头敏感 聊天交流: 话题很广泛什么都可以聊 抽烟:无 纹身:无 唇钉舌钉:无 吻技:中大蟒蛇,可以一直亲 🌱初见 第一眼是干净又软的小白花气质,眉眼清甜柔和,带着淡淡的易碎感。长发衬得脸型很灵,穿搭温柔雅致,笑起来很甜,给人安静、治愈又楚楚动人的印象,像晚风里轻轻开着的花,舒服又让人忍不住多看两眼。 好久没有CJ了,看见p…

13 Nov 2026, 02:10 UTC684 viewsread 13 November 2026
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#No2242 店铺:#春梦岛 女仆:#婧婧 💯评分标准(点击查看) 评分等级:#B级 店铺链接: t.me/cctv3cb 类型:#萝莉 出击人:#墨影 出击时间:2026.11 环境: A,公寓楼 人照相似度:人照9 罩杯:胸C,软绵绵 身材:小巧玲珑 身高:155 体重:90 皮肤:较白,弹性Q弹,平滑度正常。 态度:A,超大范围内都能配合 聊天交流:情绪价值OK,会打配合 敏感处: 耳朵脖子敏感 抽烟:未闻到烟味 纹身:无 唇钉舌钉:无 吻技:轻吻主动,时间长,小蟒蛇 🌱初见 第二次来春梦岛,我向来是既来之则安之,今天老板推荐的是婧婧,推门时初看软萌小萝莉一枚,果断敲定。江湖儿女没那么多讲究,投了点动漫,即刻上手把玩,婧婧的小手软糯细嫩,美甲也不是很长那种,捏起来像是在把玩一块软玉。 🔥过程 搂着妹子在沙发上看了会儿视频,可惜视线都在鼓鼓囊囊的胸脯上了,啥也没看进去,遂提议去床上操作。妹子是个小蟒蛇…

12 Nov 2026, 16:31 UTC604 viewsread 13 November 2026

【重要通知】 群主新建纯玩家交流群 t.me/lanadelrayanj 此群只接受纯玩家,不包括商家,不包括女仆,不包括同时是玩家和商家的双重角色,大家可以交流信息,畅所欲言。

Showing the 12 most recent of 277 posts we hold for @whointheworldami. 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.

Posts recorded as deleted after publishing

We recorded 4 posts on @whointheworldami as deleted — posts this register held that were missing from the channel’s public page on two separate reads, taken from different network addresses at least an hour apart.

A deletion is not wrongdoing. This register can see that a post it held is no longer on the channel’s public page, and when — not why. Expired ad placements, reposts, rotating links and corrections all look the same. This is a count of recorded detections, not an exact total: it misses deletions we could not see, because only a post we held and later re-read inside the page can be seen to go, and it may include a small number of wrong records. How this is measured.

First seen missing
20 August 2026
Most recent seen missing
11 November 2026
Median time before seen missing
29 hours
Seen missing in the last 30 days
3

Forward network

Republished by

Channels on the register that have forwarded this channel's posts into their own feed.

杭州白月光测评(上城)
@tmt2024tmt · 610
8 posts
Melo麋鹿女仆恋爱馆测评群
@melove6699 · 227
6 posts
甜屿女仆测评
@tianyuceping · 263
6 posts
杭州甜野女仆测评频道
@hztylove · 23
5 posts
MGM美高美测评小记
@MGM_CP88 · 421
4 posts
杭州桃奈奈测评
@Taonn9 · 70
4 posts
杭州碧蓝之海女仆测评群
@blzhceping · 225
4 posts
杭州女仆多情便利店评测
@hzdqbldpc · 838
4 posts
喵之梦测评频道
@miaozhimengzhishidawang · 89
4 posts
测评基地
@xmmpd · 145
4 posts
杭州“花前月下”女仆测评区
@HZ_Steven_520 · 370
3 posts
杭州花间女仆助教妹妹评测
@JOYLANDpingce · 379
3 posts
HARUNO测评放送
@harunocp · 30
3 posts
杭州月离馆测评群
@shxjxjdm · 1,226
3 posts
小梨测评
@xiaolilll77 · 56
3 posts
小雨测评
@xiaoyu2534 · 20
3 posts
兮兮(泡泡屋)
@xixi_cp · 5
3 posts
萌酱丽莎测评
@MJLS00 · 202
2 posts
小水
@bzbsbjshjdhe81 · 17
2 posts
初见测评
@chujian12345678 · 28
2 posts
欢乐岛女仆馆测评群
@hld688 · 147
2 posts
慕斯女仆私影频道
@musinvpu · 1,961
2 posts
泡泡屋测评
@paopaowuceping · 12
2 posts
软糖熊-娜娜
@rtx_na · 4
2 posts
软糖熊的恋爱小记
@ruantangxing666 · 393
2 posts
碎碎念女仆恋爱体验馆测评
@suisuinancp · 132
2 posts
小狗测评新频道
@xiaogouceping · 922
2 posts
测评
@xingyuecep · 74
2 posts
叶罗丽精灵仙子深度测评区
@ylljlcpq · 218
2 posts
MYGO测评群
@Bingoceping · 360
1 post
杭州鹿鼎记测评与反馈集
@LudingjiCP · 5
1 post
多情-安安
@dqbldaa · 3
1 post
多情-coco
@dqbldcc · 4
1 post
💖四叶草测评基地💖
@hangzhousiyecao5 · 333
1 post
灰太狼女仆测评
@htlnpcp · 179
1 post
胡桃测评
@hutaocepingzhuanqu · 101
1 post
可可屋测评频道
@kekewuceping · 385
1 post
喵之梦测评频道
@maomizhishiqiu · 103
1 post
miumiu女仆排班信息
@miumiunppb · 627
1 post
miumiu女仆测评区
@miumiunvpu · 736
1 post
歪歪(泡泡屋)
@waiwai_cp · 1
1 post
欢乐岛测评
@wygcp333 · 752
1 post
圆圆女仆测评基地
@yynpcpjd · 881
1 post
养只小猫好好
@yzxmhh520 · 10
1 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

Named by 42 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. The 22 listed below are the most frequent namers; the rest are counted above but not each listed.

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 12 November 2026 — this entry's latest reading, not the date you are reading this.

“西湖歌舞几时休(杭州女仆测评)” (@whointheworldami), 21,676 subscribers as measured 12 November 2026. Telegram Register, tgregister.com/channel/whointheworldami.

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.