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Channel

东莞南城新人~东京归来日式AV水床泡泡浴AV电影版~个人课室无中介~娟子

@ahkkn123456

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

3,288subscribers

+1 since we began measuring on 15 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1002530640004
TypeChannel
Username@ahkkn123456
CreatedBetween 1 March 2025 and 31 July 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded15 August 2026
Last confirmed live16 August 2026
Measurements held2
Confirmed unchanged1 time, most recently 16 August 2026
On Telegramt.me/ahkkn123456

Growth

3,2873,2883,287.515 Aug 2026, 08:31 — 3,287 subscribers16 Aug 2026, 15:14 — 3,288 subscribers15 Aug 2026, 08:3116 Aug 2026, 15:14
2 measurements spanning 1 day, 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 3,287–3,288 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
16 Aug 2026, 15:143,288+1
15 Aug 2026, 08:313,287first reading

Engagement

20 posts held, back to 21 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 1 pageof Telegram’s post history, 20 posts per page.

ERR · 30 days
40.6%
avg views ÷ 3,288 subscribers
Avg views / post
1,340
20 posts measured
Reaction rate
0.06%
reactions ÷ views · ER floor
Posts in window
20
of 20 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 5 of 20 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 15 August 2026
Posts held20 (21 July 202615 August 2026)
Views total26,716
Reactions total5
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken15 Aug 2026, 08:31 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
17s
Average length
9s

Measured directly from 2 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

5 reactions across 5 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 5 of the 20 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 5reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 20 most recent posts we hold, published 21 July 2026 to 15 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

15 Aug 2026, 01:36 UTC130 viewsread 15 August 2026
Photo

宝宝们早安呀!娟子老师休息了一个星期很想念哥哥们哟,今天开课啦,日式水床泡泡浴服务全天在线可约❤️

9 Aug 2026, 05:15 UTC880 viewsread 15 August 2026
Video

红休了!娟子老师向宝子们告个假,开课时间频道更新通知哈❤️

8 Aug 2026, 02:33 UTC969 viewsread 15 August 2026
Photo

宝子们早安!日式水床泡泡浴开课啦,娟子老师全天在线可约❤️

7 Aug 2026, 03:20 UTC≈1,000 viewsread 15 August 2026

宝宝们午安!日式水床泡泡浴开课啦,娟子老师全天在线可约❤️

7 Aug 2026, 03:19 UTC≈1,040 viewsread 15 August 2026

#南城 芳龄: 29 艺名: 娟子 身高: 163 cm 体重: 50 kg 胸围: 36 D 服务: 日系水床泡泡电影版同款服务,日本进口纯av电影剧情,(日制润滑液泡泡调情),水床按摩放松,泡泡胸推,臀推,共浴,日式跪式水中萧,背部按摩放松,海底捞,戏龙双珠,各种诱惑情趣衣调情,想入非非,哈气漫游,独龙,日式舔咪咪,舔鲍鱼,无套吹,69式互动,360度吹,激情爱爱,配合各种动作, 价格: aV泡泡600一课60分钟 av泡泡1000二课90分钟 aV泡泡1200不限次120分钟 夜课:2000不限次(晚上23点到早上9点) sm自选剧情服务: 女s男m版:流程~私人定制:剧情介绍根据您个人的喜好而编辑,包含日本aV电影泡泡剧情版所有内容,角色扮演任意挑选,皮鞭,拍子,黑丝,跳跳🥚,遛狗式,圣水,各种玩法自定义!Sm茶水: 900一课70分钟 1200两课100分钟 夜课2000无限课(晚上23点~早上10点) 地址

5 Aug 2026, 07:55 UTC≈1,140 views1 reactionsread 15 August 2026

报告模板 反馈报告 上课时间:8.5 验证留名:lebron 所在位置:南城 老师名称:#@OKOK8310 上课价格:6p 妹子年龄:30 妹子容貌:人照差不多 妹子身材:38D 服务态度:很好很舒服 环境设备:还不错 自由评论:很不错,态度很好,很舒服 公开榜防失联 @tiantianfacai 公开榜 @vcaaa 同城群不开放版 @haha77 同城群开放版 @eee_4 纯狼友群 @DG66DS 麦当劳群 @DGQYXC 抽奖频道 https://t.me/+GAE4DqDq_yE5ODg6 报告投稿机器人 @DGresource_bot

1

4 Aug 2026, 02:39 UTC≈1,170 viewsread 15 August 2026

宝子们早安!日式水床泡泡浴开课啦娟子老师全天在线可约❤️

4 Aug 2026, 02:32 UTC≈1,160 viewsread 15 August 2026

娟子老师开了新号,宝宝们快来加入老师的新号吧, 新号联系 @okok1616 老号联系 @okok8310

3 Aug 2026, 02:20 UTC≈1,290 viewsread 15 August 2026
Photo

宝宝们早安!开课啦娟子老师全天在线可约❤️

2 Aug 2026, 03:25 UTC≈1,300 viewsread 15 August 2026
Video

宝宝们早安!日式泡泡浴服务开课啦,娟子老师周日全天在线可约❤️

1 Aug 2026, 02:35 UTC≈1,320 viewsread 15 August 2026

水床泡泡浴服务开课啦!娟子老师全天在线可以约❤️

Showing the 12 most recent of 20 posts we hold for @ahkkn123456. 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 — 439,489 of 1,481,306entries 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

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

“东莞南城新人~东京归来日式AV水床泡泡浴AV电影版~个人课室无中介~娟子” (@ahkkn123456), 3,288 subscribers as measured 16 August 2026. Telegram Register, tgregister.com/channel/ahkkn123456.

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.