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Telegram profile photo for 拽姐Ruina的朋友圈

Channel

拽姐Ruina的朋友圈

@kooiap

On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Handles named that no longer answer · Cite this entry

6,002subscribers

+1,069 since we began measuring on 8 August 2026

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

Register entry

Telegram ID-1003380650156
TypeChannel
Username@kooiap
CreatedBetween 1 November 2025 and 31 March 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded8 August 2026
Last confirmed live4 September 2026
Measurements held10
Confirmed unchanged1 time, most recently 4 September 2026
On Telegramt.me/kooiap

Growth

4,9337,6806,306.58 August 2026 — 4,933 subscribers8 August 2026 — 5,024 subscribers12 August 2026 — 6,559 subscribers15 August 2026 — 7,680 subscribers18 August 2026 — 7,086 subscribers22 August 2026 — 6,073 subscribers25 August 2026 — 5,978 subscribers28 August 2026 — 5,895 subscribers31 August 2026 — 6,027 subscribers4 September 2026 — 6,002 subscribers6,0028 August 20264 September 2026
10 measurements spanning 27 days, net +1,069. 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 4,521–8,092 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
4 Sept 2026, 18:576,002-25
31 Aug 2026, 19:586,027+132
28 Aug 2026, 19:455,895-83
25 Aug 2026, 09:055,978-95
22 Aug 2026, 16:546,073-1,013
18 Aug 2026, 21:587,086-594
15 Aug 2026, 19:157,680+1,121
12 Aug 2026, 00:426,559+1,535
8 Aug 2026, 16:275,024+91
8 Aug 2026, 08:034,933first reading

Engagement

54 posts held, back to 6 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 11 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
16.2%
avg views ÷ 6,002 subscribers
Avg views / post
974
34 posts measured
Reaction rate
0.145%
reactions ÷ views · ER floor
Posts in window
34
of 54 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 21 of 34 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 20 August 2026
Posts held54 (6 July 202620 August 2026)
Views total33,120
Reactions total33
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken20 Aug 2026, 16:35 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
1m 07s
Average length
11s

Measured directly from 6 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

57 reactions across 30 posts, in 8 distinct kinds. The most used accounts for 77.2% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
4477.2%
🤡47.02%
👍23.51%
🔥23.51%
🥰23.51%
👏11.75%
😁11.75%
🤝11.75%

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 32 of the 54 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 57 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 54 most recent posts we hold, published 6 July 2026 to 20 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, 10:30 UTC≈1,370 views2 reactionsread 20 August 2026

【深圳金玺】:https://t.me/SZJXQ 【出击时间】:2026-08-15 【老师昵称】:笍娜 【联系方式】:@ru9ic 【学生留名】:不吃西红柿。 【人照相似】:9 【身材评分】:9 【服务评分】:10 【态度评分】:10 【环境评分】:9 【综合评分】:9.4 【过程描述】:上课过程: 关注了很久的满姐老师 由于较远和没有合适的时间 便一直没有出击 这次回归听说拽姐又要休息了 择日不如撞日 便果断约课出击了 刚见面眼前一亮 特别漂亮的小姐姐 人照无差 人美声甜 让我这个i人 有一点点不好意思 坐下交流几句便交水费去洗白白 帮洗认真还会交流不尬 洗完还会帮擦后背水渍 然后上床便主动🐍上来 舔咪全身漫游 从上到下 口活也好 然后便69 互吃小学无异味好吃 然后便站起看着老师吞吞吐吐的吃肉棒 深厚包裹感无敌 然后便进入正戏xxoo 爱爱细节不多细说了 都差不多 短短十几分钟结束战斗 给我累坏了 芮娜

2

15 Aug 2026, 07:02 UTC≈1,050 viewsread 20 August 2026

优质老师出击笔记模板 【出击报告】(REPORT @SHFriendsBG ) 位置坐标: #深圳 #南山 学生留名: #奈落 学生电报号: @NaraKuRan 上课时间: 8.14 老师花名: #笍娜 老师电报号: @ru9ic 上课花费: 4100 老师质量: 人照相符 9分,服务态度 10分,服务技能 10分,情绪价值 10分 ,环境卫生 10分,有无陪洗:有 ( PS: 按照1到10打分 ) 服务内容: 洗吹做 上课过程: 8.10的时候第一次见笍娜就感觉惊为天人 奈何时间有限第二天需要上班 所以就简单一次 约定好找个周末和拽姐一起起床 提前约好了包夜 一直在纠结是去工作室还是开房 主要是想泡澡 然后就问了一下拽姐 他说她不喜欢泡澡 但是我想泡可以陪我 太感动了 果断订了附近的一个酒店 然后在拽姐楼下等她下班 接到拽姐就直奔酒店 进门先小抽

15 Aug 2026, 02:54 UTC996 views4 reactionsread 20 August 2026

优质老师出击笔记模板 【出击报告】(REPORT @SHFriendsBG ) 位置坐标: #深圳 #南山 学生留名: #小雷李(新号) 学生电报号: @inuyama7 上课时间: 8 月 14 日 下午 老师花名: #拽姐 Ruina 老师电报号: @ru9ic 上课花费: 1100/P 老师质量: 人照相符 9 分,服务态度 10 分,服务技能 9 分,情绪价值 9.5 分,环境卫生 9 分,有无陪洗:有 (PS: 按照 1 到 10 打分) 服务内容:共浴、舌吻、69、JK 服、丝袜等课表服务齐全。 上课过程:一直在多个群里听闻拽姐的大名,也听说过不好约。今天路过南山发了个消息给拽姐,约上了 3 点的那趟。 到了指定地址上楼,打开预留的门就看见了拽姐。眼前一亮,确实是自己喜欢的类型,身材苗条,长相也是喜欢的卡哇伊风。 拽姐先是主动递了一瓶水,我笑着跟拽姐说:“这么可爱一点都不拽嘛……" 我们聊了一会儿就去

4

14 Aug 2026, 12:00 UTC≈1,050 viewsread 20 August 2026

抽奖【2000现金红包抽奖】五星推荐小娘子+笍娜+芯安重磅红包大抽奖,朝花夕拾友情赞助🎉🎉🎉🎉🎉🎉(编号L178607698087842A15C4C)已成功开奖: 创建人:@YOUZHI88_BOT 已参与人数:2917 中奖名单如下: Ghh(@sbdakda)[8505473302](奖品:500现金口令红包,中奖直接联系朝花 @ZHXSChannel1_bot) 小帅帅(@aony5565)[6924474782](奖品:500现金口令红包,中奖直接联系小娘子 @Xiaoniangziyydss) 陶吉吉(绝唱)(@DaJinLi03)[6396950021](奖品:500现金口令红包,中奖直接联系笍娜 @ru9ic) CHEN(@cvchen0325)[8000069079](奖品:500现金口令红包,中奖直接联系芯安 @Lxinan8888)

14 Aug 2026, 09:33 UTC≈1,060 viewsread 20 August 2026
Forwarded from @SZJXBG

【深圳金玺】:https://t.me/SZJXQ 【出击时间】:2026-08-13 【老师昵称】:笍娜 【联系方式】:@ru9ic 【学生留名】:昕旦 【人照相似】:9.5 【身材评分】:9 【服务评分】:9 【态度评分】:9 【环境评分】:9 【综合评分】:9.1 【过程描述】:上次一别已有数月,今天二返拽姐,听闻已经变成甜妹,还剃了白虎,屁颠屁颠地就跑去验牌。开门一见,又漂亮了不少。比较惊喜的是,笍娜竟然还认得我,连第一次见面的小细节都能娓娓道来。熟人见面,亲切感和松弛感拉满。一切都是如此的自然,从聊天到陪洗,再到床上。 即便是熟人,服务也不会含糊,还会透着些许古灵精怪。🐍吻主动,不仅有舔胸,还会舌尖漫游全身。口技也是炉火纯青,会深喉,舌头灵动。可以称得上是嫩妹里少有的服务型!女上很有技巧,而且体力不错,能反向桩我挺久。后入有大屁屁,非常好凿😋。这次课室还有备丝袜和jk,体验这块没说的。正戏做完在床上抱着聊聊天,欣赏笍

14 Aug 2026, 09:30 UTC861 viewsread 20 August 2026

【出击报告】(REPORT @SHFriendsBG ) 位置坐标: #深圳 #南山 学生留名: #Loki 学生电报号: @Loki10032 上课时间: 2026/08/14 老师花名: #芮娜 老师电报号: @ru9ic 上课花费: 1100p 老师质量: 人照相符 9.5 分,服务态度 9 分,服务技能 10 分,情绪价值 10 分 ,环境卫生 9分,有无陪洗:有 ( PS: 按照1到10打分 ) 服务内容: xcz+69小🐍 上课过程: 早就听说拽姐大名了,一直想出击来着,然后这几天看好像都满了,就没去,结果晚上睡觉梦到自己去出击了,心想着都做梦了,还是去出击一下吧,就临时问了拽姐今天有没有位,得到的回答是现在马上就有位,定位发过来,还挺近,就果断出击了。 去到楼下遥控上楼,进门看到拽姐人照基本相符。交完水费,一起洗澡,有陪洗。洗完就躺床上了。拽姐先过

14 Aug 2026, 05:46 UTC830 viewsread 20 August 2026

优质老师出击笔记模板 【出击报告】(REPORT @SHFriendsBG ) 位置坐标: #深圳 #地区 学生留名: #脑瓜疼 学生电报号: @NKTJBA 上课时间: 8.13 老师花名: #芮娜 老师电报号: @ru9ic 上课花费: 1100 老师质量: 人照相符9分,服务态度9分,服务技能9分,情绪价值9分 ,环境卫生 9分,有无陪洗:有 ( PS: 按照1到10打分 ) 服务内容: 洗吹做舌吻69 上课过程: 群里面一直关注拽姐,早就想一赌芳容,看群聊以为是个高冷御姐,没想到见面是个甜妹说话轻声细语软糯糯的,这反差吊足了我的胃口的。我说妹子黑长直的发型,再加上苗条的身段,给我的感觉有点像《最终幻想7降临之子》里面的女主蒂法,把妹子都给逗乐了。话不多说交了水费,还是按我自己的喜好自己洗自己擦,妹子夸我是我素质工兵,前面拉满了好感。来到床上,先趴在我身上来个深

14 Aug 2026, 04:11 UTC≈1,140 views1 reactionsread 20 August 2026
Photo

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1

13 Aug 2026, 15:11 UTC≈1,130 views2 reactionsread 20 August 2026
Forwarded from @CABG00789Photo

长安报告模板 学生留名:幸运兔脚 老师艺名:笍娜 联系方式: @ru9ic 出击时间:2026.08.12 位置坐标:#深圳 #南山区 上课费用:1100p 人照程度:9.4(满分10分) 服务内容:🐍xcz,女友陪伴 出击详细体验: 在群里中了出击红包,挑了半个月,终于看到拽姐回归,果断约上课。到达地点,开门见到的是一个可可爱爱软软糯糯的黑长直甜妹笍娜,没有想象中的拽,真人多了一份甜和古灵精怪。笍娜是自来熟,i人福音。全程就和私会小女友一样,陪洗也贴心,AB面都照顾到了。床上也不含糊,🐍吻主动,口技很好,偶尔会深喉。正戏十分配合,传教士时🐍有求必应,叫床反馈真实,轻喘侧过头时的颜值简直爆表了,让人忍不住加快速度。女上的体力很好,而且也有技巧,摇得很有节奏。后入非常紧,看到了神秘符文,加上白虎吞吐鸡儿的视觉冲击,没撑多久就愉快的出水了。 出水后笍娜贴心的帮摘套和处理,然后回来床上一起抱着聊些有的没的,陪伴感这一块直接拉满。聊

2

Showing the 12 most recent of 54 posts we hold for @kooiap. 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

Republishes

Channels on the register whose posts this channel has forwarded.

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 2 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.

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

“拽姐Ruina的朋友圈” (@kooiap), 6,002 subscribers as measured 4 September 2026. Telegram Register, tgregister.com/channel/kooiap.

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.