【测评】 #女仆测评 #测评 #上城 #桃奈奈 #桃奈奈测评 🔙返回上一级 【上城 东站】 🌹代表”好妹妹“,🌱代表“候补好妹妹”,群里输入”好妹妹“可查看其他区的好妹妹。 🏅代表店家头牌 桃奈奈 言言:测评1 7.3 梦晴:测评1 7.1,测评2 7.2, 小醉:测评1 7.8, 小小:测评1 7.3,

Channel
西湖歌舞几时休(杭州女仆测评)
@whointheworldami
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
17,232subscribers
+945 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 |
|---|---|
| Type | Channel |
| Username | @whointheworldami |
| Created | Between 1 March 2025 and 31 July 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 8 August 2026 |
| Last confirmed live | 17 September 2026 |
| Measurements held | 31 |
| Confirmed unchanged | 1 time, most recently 17 September 2026 |
| On Telegram | t.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 why it has no browse page of its own yet.
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 17 Sept 2026, 04:42 | 17,232 | +73 |
| 15 Sept 2026, 05:41 | 17,159 | +8 |
| 13 Sept 2026, 18:15 | 17,151 | +16 |
| 11 Sept 2026, 22:38 | 17,135 | +63 |
| 9 Sept 2026, 11:36 | 17,072 | -161 |
| 6 Sept 2026, 06:57 | 17,233 | +34 |
| 3 Sept 2026, 21:38 | 17,199 | +282 |
| 2 Sept 2026, 11:47 | 16,917 | -11 |
| 1 Sept 2026, 13:52 | 16,928 | +1 |
| 30 Aug 2026, 13:57 | 16,927 | +18 |
| 29 Aug 2026, 12:05 | 16,909 | +12 |
| 28 Aug 2026, 10:37 | 16,897 | +4 |
| 27 Aug 2026, 09:18 | 16,893 | -55 |
| 26 Aug 2026, 06:37 | 16,948 | -90 |
| 25 Aug 2026, 05:34 | 17,038 | -103 |
| 24 Aug 2026, 05:48 | 17,141 | -88 |
| 22 Aug 2026, 15:55 | 17,229 | -7 |
| 21 Aug 2026, 04:33 | 17,236 | -80 |
| 20 Aug 2026, 06:45 | 17,316 | +14 |
| 19 Aug 2026, 08:23 | 17,302 | first reading |
Engagement
213 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 52 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 2.84%
- avg views ÷ 17,232 subscribers
- Avg views / post
- 490
- 72 posts measured
- Reaction rate
- 0.135%
- reactions ÷ views · ER floor
- Posts in window
- 72
- of 213 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 30 of 72 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 3 September 2026 |
|---|---|
| Posts held | 213 (6 August 2026 – 3 September 2026) |
| Views total | 35,257 |
| Reactions total | 26 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 3 Sept 2026, 09:35 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
- 19m 40s
- Average length
- 10s
Measured directly from 116 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
84 reactions across 63 posts, in 4 distinct kinds. The most used accounts for 94.0% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 79 | 94.0% | |
| 👍 | 2 | 2.38% | |
| 🔥 | 2 | 2.38% | |
| 👏 | 1 | 1.19% |
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 84 of the 213 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 84 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 213 most recent posts we hold, published 6 August 2026 to 3 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
【测评】 #女仆测评 #测评 #余杭 #其他 #余杭其他测评 🔙返回上一级 【余杭 其他】 🌹代表”好妹妹“, 🌱代表“候补好妹妹”,群里输入”好妹妹“可查看其他区的好妹妹。 🏅代表店家头牌 克拉拉 乖乖:测评1 7.8,
❤1
【测评】 #女仆测评 #测评 #拱墅 #赫拉 #赫拉测评 🔙返回上一级 【拱墅 和睦】 🌹代表”好妹妹“,🌱代表“候补好妹妹”,群里输入”好妹妹“可查看其他区的好妹妹。 🏅代表店家头牌 赫拉 微微:测评1 8.3,测评2 7.8,测评3 7.5,测评4 7.6,测评5 7.5
【测评】 #女仆测评 #测评 #拱墅 #五月花 #五月花测评 🔙返回上一级 【拱墅 和睦】 🌹代表”好妹妹“,🌱代表“候补好妹妹”,群里输入”好妹妹“可查看其他区的好妹妹。 🏅代表店家头牌 五月花: 囡囡:测评1 7.8, 小欣:测评1 7.5,测评2 7.7,
【测评】 #女仆测评 #测评 #滨江 #梵乐 #梵乐测评 🔙返回上一级 【滨江 滨和路】 🌹代表”好妹妹“, 🌱代表“候补好妹妹”,群里输入”好妹妹“可查看其他区的好妹妹。 🏅代表店家头牌 梵乐 糖糖:测评1 7.6,测评2 7.8, 晕晕:测评1 7.4, 醒醒:测评1 7.8,测评2 7.7. 微微:测评1 8.0,测评2 7.7,测评3 7.7,测评4 7.7,
【测评】 #女仆测评 #测评 #拱墅 #桃幼岛 #桃幼岛测评 🔙返回上一级 【萧山 奥体中心】 🌹代表”好妹妹“,🌱代表“候补好妹妹”,群里输入”好妹妹“可查看其他区的好妹妹。 🏅代表店家头牌 桃幼岛 小雪:测评1 7.3,测评2 7.2, 小桃运:测评1 7.8, 言言:测评1 7.3, 蛋挞:测评1 7.7, 盈盈:测评1 7.5,
【测评】 #女仆测评 #测评 #拱墅 #白月光 #白月光测评 🔙返回上一级 【上城 城站】 🌹代表”好妹妹“,🌱代表“候补好妹妹”,群里输入”好妹妹“可查看其他区的好妹妹。 🏅代表店家头牌
🎰 爱,女仆和机器人”女大开学季“ 联合抽奖 第一波 📮 抽奖条件: 🎫 加入-下沙咔奇玛恋爱体验馆🧡💛❤️ 🎫 加入-奶芙萌屋女仆恋爱馆(超大) 🎫 加入-杭州上城绮梦恋爱女仆馆 🎫 加入-软糖熊的恋爱小屋 🎫 加入-爱,女仆和机器人(杭州女仆 优惠券&工兵&测评) 🎫 加入-西湖歌舞几时休(杭州女仆测评) 🎁 奖品内容: 咔奇玛 双钟800优惠券 × 1 奶芙萌屋 双钟800优惠券 × 1 绮梦 二免一700优惠券(好猫,夏树不适用) × 1 软糖熊 二免一700优惠券(kitty,meno不适用) × 1 💡 活动说明: 1. 感谢咔奇玛,奶芙萌屋,绮梦,软糖熊女仆店的大力赞助,奖券所有解释权归商家所有。 2. 中奖后及时找客服确认奖券截止日期和使用注意事项。 📅 开奖日期:(UTC+8) 2026年09月04日 21时45分50秒
#No1867 店铺:#养只小猫 女仆:#小江 💯评分标准 店铺链接: t.me/yangzhixiaomao 店铺资料: t.me/standingmanhz/1302 类型:#有容乃大 价格:400/h 出击人:#Leo小水龙 出击时间:2025.08 环境: B,公寓 人照相似度:人照8 罩杯:胸C 身材:细支硕果 身高:170 体重:100 皮肤:滑 态度:A 聊天交流:A 敏感处: 葡萄 抽烟:有 纹身:有 唇钉舌钉:有 吻技:浅亲几下 🌱初见 最近除了打新,也回归初心!颜值+情绪价值,才是女仆奥义!于是去选了个中超:期待已久的小江!和小江见面的氛围很奇妙,她是湖南姑娘,170+的个子格外惹眼,腿又直又长,一身黑色小裙子衬得整个人高贴,肌肤摸起来细腻顺滑。 🔥过程 最惊喜是那对大熊,又挺又大,让人爱不释手!外表看着大大咧咧,张口就是各种玩梗,可熟悉之后才发现骨子里很容易害羞。靠近的时候是蜻蜓点水一…
#No1866 店铺:#童话镇 女仆:#yoyo 💯评分标准 店铺链接: t.me/tonghuazhen_xiaofeifei 店铺资料: t.me/standingmanhz/997 类型:#甜妹 价格:600 出击人:#DAYA 出击时间:2026.08 首次服役时间:2026.08 环境:写字楼 人照相似度:七分 罩杯:C原生较硬 身材:小甜妹 身高:160 体重:85 皮肤:白度3.5,弹性4,平滑度4 态度:A,服务态度好 聊天交流:特能聊,痒了忍不住笑 敏感处: 全身敏感 水娃 抽烟:电子烟 纹身:右胸一大朵什么花 唇钉舌钉:都有,加一个闪闪钻脐钉 舌吻:大蟒蛇,配合度高,能转圈带攻击 🌱初见 妹子佛系大能,掉落看缘分,四天前开约,客服也被妹子弄的闷逼不知道哪天,终于确定了,妹子进门那一刻,觉得这几天等的都值了。比摩卡略有肉,妹子说那是五月份的照片,也是,这么佛系的妹子不长肉才怪,不过摩卡显瘦,现在这…
📅 9.2【每日新人速递】#新人速递 🔙返回新人榜 【拱墅】 白月光 #摆摆 ⭐️⭐️⭐️ 绮遇 #岁岁 ⭐️⭐️⭐️ 前女友 #小凛(图3,150cm小萝莉) ⭐️⭐️⭐️⭐️ 注:⭐️仅代表模卡颜值分,非本人颜值
#No1865 店铺:#软糖熊 女仆:#小青 💯评分标准 店铺链接: t.me/ruantangxiong888 店铺资料: t.me/standingmanhz/1233 类型:#御姐 出击人:#韩立 出击时间:2026.8.31 环境: B,无一次性床单 人照相似度:人照 8 罩杯:胸 D+,白嫩 身材:人瘦,胸大,腰细,腿细 身高:164 体重:90 皮肤:白度(选择:雪白),弹性(选择:很弹),平滑度(选择:很滑)。 态度:B,尺度内的配合度是有的,不主动 聊天交流:很健谈,话痨 敏感处: 耳朵敏感,不太让碰。 抽烟:有 纹身:小块 唇钉舌钉:无 吻技:吻技一般, 🌱初见 跟老板约好时间,准时cj,第一眼是被身材和皮肤吸引的,前凸后翘,皮肤白嫩光滑,身上无异味,化妆品香水的味道也比较淡,听妹妹讲是不喜欢化妆香水,硬件来说我比较满意。 🔥过程 建议嘛,香水可以喷一点儿,更加有情趣。妹妹尺度内配合是有的…
❤1
Showing the 12 most recent of 213 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.
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
Named by 38 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.
Named by
Channels on the register whose posts name this channel's handle.
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@yynpcpjd · 102 posts
Names
Channels on the register whose handles appear in this channel's posts.
@whointheworldareu · 20,819165 posts山外青山楼外楼(女仆榜单)
@standingmanhz · 5,187106 posts杭州女仆星悦恋爱体验馆
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@melo_8899 · 4,70510 postsBingo恋爱体验馆2.0版本
@Bing_go520 · 3,8898 posts橘子汽水女仆
@jzqsnp · 2,7647 posts杭州养只小猫女仆交流群
@yangzhixiaomao · 12,6967 posts💗杭州四叶草交流群💗
@hangzhousiyecao3 · 8,3066 posts童话镇女仆交流群
@tonghuazhen_xiaofeifei · 2,1376 posts杭州女仆美年达体验馆
@hznplaq · 4,4095 posts甜屿女仆陪玩交流群
@mengyouxianjing1 · 5,7155 posts萌酱丽莎私影
@mjls0 · 3,4345 posts小姨女仆闲聊群
@ndbbpug · 6,6585 posts千寻女仆杭州交流群
@hangz4325 · 4,8284 posts遇见少女屋(2群)
@skskk64 · 4,8444 posts春上春树女仆交流群
@cscsnpjlq780 · 5,5953 posts杭州拱墅雨滴女仆店
@hangzhougongshuyudinvpu123 · 3,8233 posts蜜糖恋爱女仆交流群
@kpblxw · 3,4593 postsmiumiu女仆交流群
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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 17 September 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), 17,232 subscribers as measured 17 September 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.