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Channel

spa会所

@Czhuishui

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

2,702subscribers

+0 since we began measuring on 27 September 2026

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

Register entry

Telegram ID-1002339874387
TypeChannel
Username@Czhuishui
CreatedBetween 1 September 2024 and 31 March 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded27 September 2026
Last confirmed live27 September 2026
Measurements held2
On Telegramt.me/Czhuishui

Growth

2,70227 Sept 2026, 09:47 — 2,702 subscribers27 Sept 2026, 10:22 — 2,702 subscribers27 Sept 2026, 09:4727 Sept 2026, 10:22
2 measurements taken within a single day. 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 2,699–2,705 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
27 Sept 2026, 10:222,702no change
27 Sept 2026, 09:472,702first reading

Engagement

6 posts held, back to 22 March 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 1 page of Telegram’s post history, 20 posts per page.

ERR · 30 days
8.01%
avg views ÷ 2,702 subscribers
Avg views / post
217
2 posts measured
Reaction rate
0.87%
reactions ÷ views · ER floor
Posts in window
2
of 6 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 1 of 2 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 9 September 2026
Posts held6 (22 March 2026 – 9 September 2026)
Views total433
Reactions total2
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken27 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.

What this channel posts

Photos
92
Videos
1
Links
2

Lifetime counters from Telegram’s own channel header, read 27 September 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.

Reaction mix

5 reactions across 3 posts, in 1 kind.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤5100.0%

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 3 of the 6 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 5 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 6 most recent posts we hold, published 22 March 2026 to 9 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

9 Sept 2026, 12:13 UTC203 viewsread 27 September 2026
Photo

🗓【甜腻私影常州版】私影推荐官🎯 🍭特色:二次元学妹嫩妹恋爱女友,恋爱期间带给你不一样的情侣体验。 • 助教年龄18~23岁☝️☝️☝️☝️☝️ • 风格百变,总有你喜欢的一款,到店海选!❤️❤️❤️❤️❤️ 📍导航定位: 【港龙商层商务广场】 🔺🔺🔺🔺🔺🔺🔺🔺🔺 🍬热恋套餐 599(优选助教 升级玩法)60分钟 该套餐助教主动热情,体验感极佳,情绪价值拉满 可以简单的亲亲🐻,kisskiss,搂楼抱抱,乘骑抱抱😍 (可以0️⃣障碍感受嫩滑双峰🐻摸,揉🐻手感超棒)😍抚摸水嫩肌肤,足部,从小腿到大腿,背部,感受身体完美曲线,极致体验,等等一系列情侣小互动❤️ 感情快速升温,快来宠幸你的小女友吧😍😍 ✅女S:踩踏、辱骂、耳光、提档、口水等(轻度的,简单道具)。 🍬蜜恋套餐 699(优选助教 沉浸体验)60分钟 包含热恋套餐的所有内容🎁 享受小姐姐更加热情的服务,🐍吻,真空摸🐻 ,亲🐻, 摸⬇️, 以及599所涵的所有…

4 Sept 2026, 15:13 UTC230 views2 reactionsread 27 September 2026
Photo

昵称:💞#常州有猫私影女仆💞 坐标:常州 简介:常州YouMao·有猫私影女仆 特色:主打年轻(18-22),无风尘气,二次元嫩妹🤩🤩 精神身体双重享受,真实女友体验❤️❤️ ➖➖➖➖➖➖➖➖➖➖➖➖➖ 玩法及尺度:(套餐二可手推出水) 看看电影,玩玩游戏,牵牵手,搂搂腰。找回学生时代的恋爱感觉,亲亲脸,贴贴,可以摸🧸🐍吻 摸摸妹子大长腿,有什么要求都可以和女仆聊聊,合理情况下基本可以满足,真实女友恋爱体验。💃💃 适合人群及范围: 9598太多想换换口味,纯爱,追求情绪价值陪伴等 🤩🤩 套餐二可外派 两个钟起加路费 咱们这最后只有手出 主打的还是情绪价值 🤗🤗 至于95 98要看各种哥哥线下怎么跟女孩说了 一切皆有可能 我们只提供一个优质的平台🤗🤗 客服 @Simu5199 官方认证 · 品质严选会所 🚀私密放飞 🔥服务火热 ✔️卫生干净 🥰 尺度全开…

❤2

23 May 2026, 10:29 UTC974 viewsread 27 September 2026
Photo

常州天宁区极品95SPA 位置:#江苏#常州#天宁 营业时间:12:00-凌晨2:00 服务:🐻推👋推,足推🐬推,毒🐉过水,漫游,吸皮,🐻滑,指滑,猴子偷🍑,高山流水,海底捞🌛,可亲,可摸,可揉,骚话连篇。可69,👅吻,可变装,丝袜情趣可选 😘吃香肠 口抱 单独公寓 单独房间 遥控开门 安全私密 预约特价:400/约40分钟 单次 包时特价:600/小时 不限释放次数 独立卫生间,淋浴 小床经济 无任何隐形消费 联系方式:@huamanlouspa2

11 Apr 2026, 07:44 UTC≈1,240 viewsread 27 September 2026
Photo

常州亮子95spa 项目简介: 按摩💆调情 🐻滑☝滑 果冻/莞式毒🐉 😙皮 过水💦 哈气 顶肛 海底捞月🌙 排山倒海 高山流水 🐒偷桃🍑 一枝独秀💐 蜜🐝采蜜 芙蓉出水 漫步云端🥰 欲仙欲死😍 纵享丝袜(🉑带走) 流连忘返😋 游龙戏水 仙女🧚‍♂️漫游 胯下游龙😎 柔情毒龙🐉 百变调情😉 水磨拉丝 花样繁多🙈 预约优惠价399/40分钟(方便的话🉑带现金出击) 不充值 不办卡 零套路 一卷落地🔥 95特享专供💋💋💋 🉑亲💋 🉑摸👐 🉑揉🙌 🉑舔👅 🉑盘😻 部分妹子也有私密绝活 🉑自行开发 🈶特别需求🉑与妹子沟通😍 快乐地址:常州新北 逍遥时间:12:00~2:00 微信:下榜 飞机✈️私信:下榜

30 Mar 2026, 09:04 UTC≈1,410 views1 reactionsread 27 September 2026
Photo

江苏#常州#钟楼 ⭐⭐标准9️⃣5️⃣服务,漫游、指滑、口报👄、过水💧、调情、毒龙🐉、等等,全程裸身服务,专注最优质的🔤🔤🔤顾客至上,服务第一👅👅 课时费:4️⃣😀😀服务40分钟单刺。6️⃣🥰🥰服务60分钟无限刺。 6️⃣6️⃣🥰加倍快乐(双飞) 开课时间:中午12点-凌晨1点 优质导师:2-5位在岗(老师实际信息以当天更新为准)⭐⭐ 👍👍:下榜 ✈️✈️:下榜

❤1

22 Mar 2026, 03:50 UTC≈1,160 views2 reactionsread 27 September 2026
Photo

常州钟楼精品95SPA会所 位置:#常州 #钟楼泰盈八千里 ⏰营业时间:12:00-01:00凌晨 👠服务:🐻胸推 👋手推 👠足推 🐬臀推 🍒果冻 🐉毒龙 💦过水 漫游 👄舌滑 🐻胸滑 👋指滑🧋丝足 吸皮过水 🫧蚂蚊上树 🍑猴子偷桃 海底捞月🌙可亲亲 可摸摸💥 🐆出可揉揉 调情🫦 百娈換装 丝袜任撕🚗🚕🚙 📣原价 :458预约价:¥399 📣三人成团¥388米,独立卫浴 📣无任何隐形消费,95会所公寓 请各位哥哥务必带现金出击 联系方式:下榜 店面手机微信:下榜

❤2

Showing the 6 most recent of 6 posts we hold for @Czhuishui. 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.

Mentions

Named by 1 registered channel — 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.

Named by

Channels on the register whose posts name this channel's handle.

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 27 September 2026 — this entry's latest reading, not the date you are reading this.

“spa会所” (@Czhuishui), 2,702 subscribers as measured 27 September 2026. Telegram Register, tgregister.com/channel/Czhuishui.

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.