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Channel

杭州女仆馆馆务公开

@maid_affairs

On this record: Growth · Engagement · Reactions · Posts · Citations · Cite this entry

262subscribers

+1 since we began measuring on 30 September 2026

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID-1002271674883
TypeChannel
Username@maid_affairs
CreatedBetween 1 September 2024 and 17 September 2024 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded30 September 2026
Last confirmed live5 October 2026
Measurements held2
Confirmed unchanged1 time, most recently 5 October 2026
On Telegramt.me/maid_affairs

Growth

261262261.530 September 2026 — 261 subscribers5 October 2026 — 262 subscribers30 September 20265 October 2026
2 measurements spanning 5 days, net +1. 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 261–262 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
5 Oct 2026, 18:16262+1
30 Sept 2026, 10:22261first reading

Engagement

15 posts held, back to 17 September 2024 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 page of Telegram’s post history, 20 posts per page.

ERR · 30 days
442.7%
avg views ÷ 262 subscribers
Avg views / post
1,160
1 post measured
Reaction rate
—
this channel exposes no reaction counts
Posts in window
1
of 15 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.

What these figures were computed from
WindowRolling 30 days · latest post in window 26 September 2026
Posts held15 (17 September 2024 – 26 September 2026)
Views total1,160
Reactions total—
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken30 Sept 2026, 10:22 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

21 reactions across 7 posts, in 2 distinct kinds. The most used accounts for 76.2% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤1676.2%
👍523.8%

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 7 of the 15 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 21 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 15 most recent posts we hold, published 17 September 2024 to 26 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

26 Sept 2026, 14:26 UTC≈1,160 viewsread 30 September 2026

9.27已开启双倍萌点活动!持续至10.8结束 3字发言以上加4分,每日400分+奖励分共计460分封顶 并在1号开启一系列抽奖/竞拍/刮刮乐等活动!

12 Aug 2025, 13:31 UTC≈3,150 views4 reactionsread 30 September 2026

因部分商家在宣传中过度夸大,存在照骗行为且不给予退钟,服务与描述不符,服务过程中有明显划水下菜行为,女仆店或女仆经常放鸽子 如群友在出击过程中遇到以上情况: ①首先与客服或店长沟通。因为商家本身也并不了解妹子在服务过程有无下菜行为,请充分给予理解并留时间等待处理 ②如商家刻意拖延或拒绝沟通,可向 @maides_bot 投稿,只受理一周内差评 ③虚假投稿或因未给予超出本店服务尺度进行刻意抹黑,均不予受理 ④管理在发布前也会向商家核实,如商家拒绝介入则直接发布差评,多次列入永不合作名单

❤4

29 Jul 2025, 04:12 UTC≈2,680 views1 reactionsread 30 September 2026

✅账号申诉联系 Telegram 官方/客服: * App→设置→帮助与反馈 * 客服页面: https://telegram.org/support * 官方 Twitter: https://twitter.com/telegram * 登陆问题, 找Twitter: https://twitter.com/smstelegram * 官方FAQ: https://telegra.ph/Common-Login-Problems-03-12 * 发邮件给官方: [email protected] [email protected] [email protected] [email protected] * Telegram 客户端反馈群: iOS - @tgiostests macOS - @macswift Desktop - @TelegramDesktopT…

❤1

29 Jul 2025, 04:11 UTC≈1,660 viewsread 30 September 2026

学生会小福利: @Y60801 上号代开会员一年220,暗号杭州学生会 低价开会员的 家人,求助力一下,感激不尽: https://t.me/boost/maid_union

29 Jul 2025, 04:10 UTC≈1,680 viewsread 30 September 2026

创建双向机器人: @sxBot 添加机器人 1️⃣ 打开 @BotFather 2️⃣ 发送 /newbot 3️⃣ 设置 机器人名字,可中文 4️⃣ 设置 机器人username,英文+数字,需要以bot结尾 5️⃣ 创建完成后,将注册好的token发送给 @sxBot 完成部署 token格式: 6422100000:AAFMTBWko3t7gA3mN5SRYp5FuYcxxxxxxxxx

29 Jul 2025, 04:10 UTC≈2,120 views1 reactionsread 30 September 2026
Photo

❌【解决无法私信对方的问题】 首先再次声明,双向是自己看下面教程解开的,不要找我,我的管理员权限也给你解不开的。😂 ✅【如何解除双向聊天限制】 向 Telegram 官方机器人 @SpamBot 发送消息申请(跟着提示操作就行),忽略回复的You're free as a bird! (这个说的是你没有被全局限制,和私聊限制没关系,不能仅从Bot回复看你是否是被限制); ☀️【普通帐号】解除双向限制教程: ✏️方法一: 1.点击选项But I can't message non-contacts!; 2.点击选项No I'll never do any of this!; 3.输入内容accident,发送。 ✏️方法二: ①搜索 @spambot ②点击 Start ③点击This is a mistake ④点击yes ⑤点击 No,I'll never do any of this! ⑥点击复制回复 I h…

❤1

29 Jul 2025, 04:09 UTC≈4,700 views1 reactionsread 30 September 2026
Photo

❌【解决无法查看成人频道方法】 Telegram 如果你进入某个群或频道遇到如下提示: This channel can't displayed because it was used to spread pornographic content. 原因: 有人在群/频道里发了色情内容, 被 Telegram 官方限制了; 解除进群色情限制✅APP操作: ①设置→数据与储存or隐私与安全→敏感内容18+→打开 ②设置→外观→敏感内容18+→打开(新版本telegram ) ③退出APP重进群 解除进群色情限制✅网页版操作: 登录Telegram Web网页版链接: https://web.telegram.org 【⚠️重点提示:安卓手机🈲使用国产浏览器,苹果手机🉑用Safari浏览器】 ➊点击「Settings/设置」 ➋点击「Privacy and Security/隐私和安全」 ➌找到「Sensitive c…

❤1

15 Nov 2024, 12:28 UTC≈11,800 views3 reactionsread 30 September 2026

测评规则: ①群内发送“测评”,点击自助提交或发送 @maides_bot,点击写车评,输入“xx” 或 “@xx”, ②已按照模板写好测评,直接发送,选择提交方式;未提前写好测评,点击相应按钮填写,选择提交方式 ③后台已接入管理人工审核,上传证明图片(约课记录截图)或出击图片(牵手照等)更容易通过,证明图片仅管理可看,出击图片所有人可看 ④为保证测评真实性,不鼓励匿名提交;匿名提交扣除100萌点,直接提交奖励100萌点 不接收: 测评不符合规范、内容无明显客观描述、新进账号且群内无发言记录、原创部分低于200字的测评 差评: ①自助提交或发送 @maides_bot,写明事因并上传证明图片(约课记录截图)审核,仅管理可看,无需提供出击图片 ②鉴于出击个性化差异较大,不再接收主观差评;存在艺术或AI的颜值差评会要求商家提供女仆无美颜无滤镜验证视频,如商家拒绝可直接累计。另外差评给予一天冷静期,如一天内商家和玩家达成和解,即…

❤3

Showing the 12 most recent of 15 posts we hold for @maid_affairs. 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.

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

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 5 October 2026 — this entry's latest reading, not the date you are reading this.

“杭州女仆馆馆务公开” (@maid_affairs), 262 subscribers as measured 5 October 2026. Telegram Register, tgregister.com/channel/maid_affairs.

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.