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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
TypeChannel
Username@whointheworldami
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 live17 September 2026
Measurements held31
Confirmed unchanged1 time, most recently 17 September 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 why it has no browse page of its own yet.

Growth

16,28717,31616,801.58 August 2026 — 16,287 subscribers8 August 2026 — 16,540 subscribers9 August 2026 — 16,585 subscribers10 August 2026 — 16,643 subscribers11 August 2026 — 16,671 subscribers12 August 2026 — 16,694 subscribers13 August 2026 — 16,756 subscribers14 August 2026 — 17,020 subscribers16 August 2026 — 17,315 subscribers17 August 2026 — 17,273 subscribers18 August 2026 — 17,301 subscribers19 August 2026 — 17,302 subscribers20 August 2026 — 17,316 subscribers21 August 2026 — 17,236 subscribers22 August 2026 — 17,229 subscribers24 August 2026 — 17,141 subscribers25 August 2026 — 17,038 subscribers26 August 2026 — 16,948 subscribers27 August 2026 — 16,893 subscribers28 August 2026 — 16,897 subscribers29 August 2026 — 16,909 subscribers30 August 2026 — 16,927 subscribers1 September 2026 — 16,928 subscribers2 September 2026 — 16,917 subscribers3 September 2026 — 17,199 subscribers6 September 2026 — 17,233 subscribers9 September 2026 — 17,072 subscribers11 September 2026 — 17,135 subscribers13 September 2026 — 17,151 subscribers15 September 2026 — 17,159 subscribers17 September 2026 — 17,232 subscribers17,2328 August 202617 September 2026
31 measurements spanning 40 days, net +945. 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 16,133–17,470 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 31
Measured (UTC)SubscribersChange
17 Sept 2026, 04:4217,232+73
15 Sept 2026, 05:4117,159+8
13 Sept 2026, 18:1517,151+16
11 Sept 2026, 22:3817,135+63
9 Sept 2026, 11:3617,072-161
6 Sept 2026, 06:5717,233+34
3 Sept 2026, 21:3817,199+282
2 Sept 2026, 11:4716,917-11
1 Sept 2026, 13:5216,928+1
30 Aug 2026, 13:5716,927+18
29 Aug 2026, 12:0516,909+12
28 Aug 2026, 10:3716,897+4
27 Aug 2026, 09:1816,893-55
26 Aug 2026, 06:3716,948-90
25 Aug 2026, 05:3417,038-103
24 Aug 2026, 05:4817,141-88
22 Aug 2026, 15:5517,229-7
21 Aug 2026, 04:3317,236-80
20 Aug 2026, 06:4517,316+14
19 Aug 2026, 08:2317,302first reading

Engagement

213 posts held, back to 6 August 2026the 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.

What these figures were computed from
WindowRolling 30 days · latest post in window 3 September 2026
Posts held213 (6 August 20263 September 2026)
Views total35,257
Reactions total26
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken3 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.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
7994.0%
👍22.38%
🔥22.38%
👏11.19%

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

3 Sept 2026, 06:24 UTC207 viewsread 3 September 2026

【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,

3 Sept 2026, 05:58 UTC233 views1 reactionsread 3 September 2026

【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

3 Sept 2026, 05:29 UTC274 viewsread 3 September 2026

【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

3 Sept 2026, 01:43 UTC396 viewsread 3 September 2026

【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,

3 Sept 2026, 01:41 UTC348 viewsread 3 September 2026

【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,

3 Sept 2026, 01:35 UTC335 viewsread 3 September 2026

【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,

3 Sept 2026, 01:33 UTC319 viewsread 3 September 2026

【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

2 Sept 2026, 14:02 UTC756 viewsread 3 September 2026
Photo

🎰 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

2 Sept 2026, 09:39 UTC805 views0 reactionsread 3 September 2026
Photo

#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

2 Sept 2026, 09:22 UTC613 views0 reactionsread 3 September 2026
Photo

#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

2 Sept 2026, 08:58 UTC529 viewsread 3 September 2026
Photo

📅 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

2 Sept 2026, 08:06 UTC697 views1 reactionsread 3 September 2026
Photo

#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.

杭州白月光测评(上城)
@tmt2024tmt · 599
8 posts
Melo麋鹿女仆恋爱馆测评群
@melove6699 · 143
6 posts
甜屿女仆测评
@tianyuceping · 231
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 · 398
4 posts
杭州碧蓝之海女仆测评群
@blzhceping · 200
4 posts
杭州女仆多情便利店评测
@hzdqbldpc · 613
4 posts
喵之梦测评频道
@miaozhimengzhishidawang · 79
4 posts
测评基地
@xmmpd · 134
4 posts
杭州“花前月下”女仆测评区
@HZ_Steven_520 · 249
3 posts
杭州花间女仆助教妹妹评测
@JOYLANDpingce · 412
3 posts
HARUNO测评放送
@harunocp · 29
3 posts
杭州月离馆测评群
@shxjxjdm · 1,271
3 posts
小梨测评
@xiaolilll77 · 56
3 posts
小雨测评
@xiaoyu2534 · 11
3 posts
兮兮(泡泡屋)
@xixi_cp · 5
3 posts
萌酱丽莎测评
@MJLS00 · 117
2 posts
小水
@bzbsbjshjdhe81 · 17
2 posts
欢乐岛女仆馆测评群
@hld688 · 153
2 posts
慕斯女仆私影频道
@musinvpu · 1,754
2 posts
泡泡屋测评
@paopaowuceping · 11
2 posts
软糖熊-娜娜
@rtx_na · 5
2 posts
软糖熊的恋爱小记
@ruantangxing666 · 430
2 posts
碎碎念女仆恋爱体验馆测评
@suisuinancp · 70
2 posts
小狗测评新频道
@xiaogouceping · 812
2 posts
测评
@xingyuecep · 83
2 posts
叶罗丽精灵仙子深度测评区
@ylljlcpq · 210
2 posts
bingo测评群
@Bingoceping · 266
1 post
杭州鹿鼎记测评与反馈集
@LudingjiCP · 5
1 post
多情-安安
@dqbldaa · 2
1 post
多情-coco
@dqbldcc · 4
1 post
古茗•世一测评
@gmshiyi · 21
1 post
💖四叶草测评基地💖
@hangzhousiyecao5 · 302
1 post
灰太狼女仆测评
@htlnpcp · 215
1 post
胡桃测评
@hutaocepingzhuanqu · 92
1 post
可可屋测评频道
@kekewuceping · 330
1 post
喵之梦测评频道
@maomizhishiqiu · 103
1 post
miumiu女仆排班信息
@miumiunppb · 251
1 post
miumiu女仆测评区
@miumiunvpu · 112
1 post
歪歪(泡泡屋)
@waiwai_cp · 1
1 post
欢乐岛测评
@wygcp333 · 708
1 post
圆圆女仆测评基地
@yynpcpjd · 10
1 post
养只小猫好好
@yzxmhh520 · 8
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 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.

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.