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Channel

Kiki的水上乐园

@kikiainimen

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

2,612subscribers

+133 since we began measuring on 6 August 2026

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

Register entry

Telegram ID-1003644677573
TypeChannel
Username@kikiainimen
CreatedBetween 1 December 2025 and 31 May 2026— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live13 August 2026
Measurements held5
Confirmed unchanged1 time, most recently 13 August 2026
On Telegramt.me/kikiainimen

Growth

2,4792,6122,545.56 August 2026 — 2,479 subscribers6 August 2026 — 2,479 subscribers7 August 2026 — 2,553 subscribers10 August 2026 — 2,564 subscribers13 August 2026 — 2,612 subscribers6 August 202613 August 2026
5 measurements spanning 7 days, net +133. 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 2,459–2,632 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
13 Aug 2026, 18:052,612+48
10 Aug 2026, 17:582,564+11
7 Aug 2026, 12:202,553+74
6 Aug 2026, 17:452,479no change
6 Aug 2026, 17:342,479first reading

Engagement

22 posts held, back to 12 July 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 2 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
75.4%
avg views ÷ 2,612 subscribers
Avg views / post
1,970
17 posts measured
Reaction rate
0.055%
reactions ÷ views · ER floor
Posts in window
17
of 22 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 8 of 17 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 7 August 2026
Posts held22 (12 July 20267 August 2026)
Views total33,483
Reactions total10
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Aug 2026, 16:24 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

15 reactions across 8 posts, in 2 distinct kinds. The most used accounts for 93.3% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
1493.3%
👎16.67%

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 10 of the 22 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 15reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 22 most recent posts we hold, published 12 July 2026 to 7 August 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

7 Aug 2026, 02:40 UTC592 views1 reactionsread 7 August 2026
Photo

昨天的小美好💖💖谢谢宝宝,今天正常开课,姐妹 @xxv87870 也过来了,🉑双飞

1

7 Aug 2026, 02:37 UTC541 viewsread 7 August 2026
Forwarded from @FSCJBG

此报告属实,由群友提交并提供真实约课证明,非老师自编自写。 【老师艺名】:kiki 【老师电报】: @Kikishunde 【验证留名】:可乐鸡翅 【验证时间】:8.6 【大概位置】:禅城 【修车水费】:pp 【妹子年龄】: 25左右 【人照相似】:人照九成 【皮肤情况】:很滑,很舒服 【综合评分】: 9分 (最高10分) 【过程描述】:在群里久闻kiki老师的大名了,今天kiki老师刚好在禅城开,于是提前一天赶紧约kiki老师。 到了楼下后老师遥控上楼给我留了门,一进门就看见kiki老师了,穿着一个白色的裙子,温声细语的跟我问好,礼貌交水费后就跟着kiki老师去洗澡了,kiki老师洗的很认真,蹲着从上到下都给你洗了一个遍,洗的干干净净的,洗完后还会帮你擦干净。 进入房间后kiki老师会让你选衣服,kiki老师那有各种颜色的衣服,我就选了个紫色的,随后kiki老师让我躺着开始服务,舔胸,漫游全身,kiki老师还

6 Aug 2026, 12:07 UTC821 viewsread 7 August 2026
Forwarded from @FSCJBG

此报告属实,由群友提交并提供真实约课证明,非老师自编自写。 【老师艺名】:kiki 【老师电报】: @Kikishunde 【验证留名】:生仔未必就系福 【验证时间】:0806 【大概位置】:禅城 【修车水费】:700 【妹子年龄】: 嫩妹以上,御姐未到 【人照相似】:8 【皮肤情况】:8 【综合评分】: 8 (最高10分) 【过程描述】:北滘有D远,禅城刚刚好,师兄们话kiki唔错。既然人黎咗禅城,咁就试试水,本来可以头炮,奈何自己时间唔岩,唯有着上一位师兄既湿拖鞋咯,环境唔错,无门禁,不过电梯要刷卡,所以要行上1,2层楼梯到老师课室,相对安全,kiki颜值算中规中矩,都算耐看,身材高瘦平(绝对超170,竹竿瘦,A+到B-有D胸,唔多),箩柚有D肉,后入唔错,主打服务,课表项目係齐的,水中萧,吹得我差D缴械,水娃的确名不虚传,女上就已经开始喷了,做到张垫湿晒。总结一句,师兄们无俾坑我踩,值得一去

6 Aug 2026, 07:00 UTC993 viewsread 7 August 2026
Photo

🎉 联邦~顺德kiki💃🏻福利抽奖🎰 🎁 奖品清单 • 1p半价券 × 1 📢 参与条件 • 加入 广州佛山联邦出击群(重生版) • 加入 广州佛山联邦老师榜 • 加入 广州佛山邦女郎动态榜 • 加入 广州佛山联邦老师打卡群 • 加入 广州佛山联邦抽奖榜 • 加入 Kiki的水上乐园 ⌛ 开奖时间 • 2026-08-08 21:00:00 📜 抽奖说明 kiki:https://t.me/Gzffol/39156 1,本活动由kiki老师赞助,私聊 @Kikishunde 兑奖。 2,开奖后请老师七天内兑券,转让需老师同意。 3,中半价券先拉黑抽奖30天,出击交报告即解。 ✨ 愿好运常伴大家,祝大家好运!点击下方按钮参与抽奖。

4 Aug 2026, 09:38 UTC≈1,340 viewsread 7 August 2026

北滘的宝宝们抓紧预约哦,北滘开完今天,明天禅城开哦,禅城的宝宝等我哦❤️❤️

4 Aug 2026, 03:38 UTC≈1,360 views1 reactionsread 7 August 2026

🈳,🕊,🉑预约❤️❤️ @kikimishu_bot

👎1

3 Aug 2026, 02:29 UTC≈1,770 views2 reactionsread 7 August 2026
Photo

下午开,姐妹 @xxv87870 也回来了,可以双飞了❤️❤️

2

26 Jul 2026, 10:14 UTC≈3,730 views0 reactionsread 7 August 2026

被人暴击抠,搞出血了,休息了😭

Showing the 12 most recent of 22 posts we hold for @kikiainimen. 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.

Citation-graph rank

Citation-graph rank — 1,283,808 of 1,480,688entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.

Forward network

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 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.

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 13 August 2026 — this entry's latest reading, not the date you are reading this.

“Kiki的水上乐园” (@kikiainimen), 2,612 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/kikiainimen.

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.