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Channel

倩倩的小屋

@quanqian5679

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

215subscribers

+66 since we began measuring on 27 August 2026

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

Register entry

Telegram ID-1003756074378
TypeChannel
Username@quanqian5679
Created23 March 2026measured — dated from the channel’s first post
First recorded27 August 2026
Last confirmed live13 September 2026
Measurements held5
Confirmed unchanged1 time, most recently 13 September 2026
On Telegramt.me/quanqian5679

Growth

14921518227 August 2026 — 149 subscribers27 August 2026 — 149 subscribers28 August 2026 — 150 subscribers4 September 2026 — 187 subscribers13 September 2026 — 215 subscribers27 August 202613 September 2026
5 measurements spanning 16 days, net +66. 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 139–225 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
13 Sept 2026, 05:20215+28
4 Sept 2026, 15:38187+37
28 Aug 2026, 03:08150+1
27 Aug 2026, 20:15149no change
27 Aug 2026, 20:00149first reading

Engagement

12 posts held, back to 23 March 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 page of Telegram’s post history, 20 posts per page.

ERR · 30 days
114.0%
avg views ÷ 215 subscribers
Avg views / post
245
3 posts measured
Reaction rate
this channel exposes no reaction counts
Posts in window
4
of 12 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 August 2026
Posts held12 (23 March 202626 August 2026)
Views total735
Reactions total
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken27 Aug 2026, 20:15 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

24 reactions across 4 posts, in 3 distinct kinds. The most used accounts for 91.7% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
2291.7%
14.17%
🥰14.17%

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 4 of the 12 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 24 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 12 most recent posts we hold, published 23 March 2026 to 26 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

8 Apr 2026, 08:31 UTCviews —

倩倩的小屋 pinned «倩倩 年龄:28 身高 :170 体重:50kg 精选课程 调情 陪洗 水中萧 丝袜高跟 制服诱惑 💅滑 👃息 亲🐻 吸皮过💦 毒🐲 AB面漫游 无套👄 深喉 69 冰火两重天 转珠 500p (40分钟)1000pp (80分钟) 包时2个小时1400 (不限次) 包夜2500(10个小时) 🈲醉酒🈲嗑药🈲三通🈲无套»

8 Apr 2026, 08:30 UTC≈4,060 views2 reactionsread 27 August 2026

倩倩 年龄:28 身高 :170 体重:50kg 精选课程 调情 陪洗 水中萧 丝袜高跟 制服诱惑 💅滑 👃息 亲🐻 吸皮过💦 毒🐲 AB面漫游 无套👄 深喉 69 冰火两重天 转珠 500p (40分钟)1000pp (80分钟) 包时2个小时1400 (不限次) 包夜2500(10个小时) 🈲醉酒🈲嗑药🈲三通🈲无套

2

26 Mar 2026, 04:19 UTC≈6,280 views12 reactionsread 27 August 2026

【出击留名】:诠释 【出击时间】:3-25 【妹子花名】:倩倩 【联系方式】:@qiangqiang466 【修车水费】:工兵 【颜值身材】:颜值7分,身材7分,个子挺高,不胖,肉肉软软的,胸挺且大而软 【凶器罩杯】:D 【服务详情】:看到群里有工兵,赶紧报名,幸好有个大哥放弃了名额,哈哈,跟老师约好时间,上门,位置挺好找,就是走错了大门,那叫一个远,遥控上楼后,门虚掩着,进门一句我去,房间挺别致,我以为是那种小公寓,老师就坐在沙发上,探出头打了个招呼,随机聊了一会儿,老师给拿来拖鞋,一次性浴巾,可惜没有共浴,小纠结,洗完去到专属的屋子(两室)里躺着,等老师去洗,下来就开始了服务,先是B面,别说,胸大的好处就出来了,蹭蹭刮刮的感觉很酥麻,然后A面,老师口技真好,不愧是从会所出来的,吸吮我的胸,很有感觉,口的很赞,那包裹感,忍不住按着老师的头,顶了好几次深喉,随即喊停(再不停就喷了),带上小雨伞,让老师在上面,老师说她不太会在上面

111

25 Mar 2026, 06:42 UTC≈5,690 views4 reactionsread 27 August 2026

【妹妹花名】:倩倩 【验证留名】:洛阳小胖 【验证时间】:3.22 【服务类别】:p 【修车水费】:工兵 【妹妹类型】:服务型 【颜值身材】:7 {年龄}:28左右 {颜值}:中等 {皮肤}:可以 {罩杯}:D {身高}:170 {体重}:110左右 {颜值综合打分}:7.5 {身材综合打分}:7 【服务质量】:可以店里出来的 {服务内容}:课表内容 {服务水平}:9 {服务态度}:全程态度很好不冷场 {服务综合打分}:8 【纹身疤痕】:有 【是否吸烟】:抽 【课室卫生】:干净 【周边环境】:安全 【综合打分】:8 【综合评述】:中 【不足之处】: 【过程概述】:约了老师按照导航就去了进门交水费然后培洗洗完澡出来老师认真的帮你擦身体到房间聊会儿天就开始了 上床AB面做得非常可以毕竟是店里出来的身材可以的特别是胸非常大一套服务下来全身酥麻爽口的非常卖力姿势全程配合情绪价值很到位全程不冷场老师下边很紧很舒服包裹感很强喜欢丰满服务类型

4

25 Mar 2026, 05:45 UTC≈5,210 views6 reactionsread 27 August 2026

【出击留名】:#特朗普 【出击时间】:3.24 【妹子花名】:倩倩 【联系方式】:@qiangqiang466 【修车水费】:工兵 【颜值身材】:去掉美颜瘦脸,能看出是老师,bbw,身材颜值我能给 7.5分 (当然我这里基本只有 6 7 8分) 【凶器罩杯】:D 【服务详情】:课表 【总体评分】:7 【总体评价】: 昨天接到了工兵任务,见到老师后,我被老师两个大灯吸引住了。 同时我也在细细打量老师,其实老师哪怕不加美颜瘦脸也不难看。再配合一身黑色连衣裙,漏出大🐻,我擦bbw狂喜。 老师是从会所出来,所以服务的时候,从B面到A面都是没有问题的,只是毒龙因为是用果冻做,因为没有果冻所以没有做。 口的时候,更是不错,不管是力道,技巧,虽然没有深喉,但是已经算是比较强的了。 口后,传教士开场,跪坐插入的时候,感觉很紧致,侧入,最后女上出货,抽插爽。 事后,老师是抽烟的,我不抽,不过在床上聊了很长一会儿,也没有催促,并且聊天的感

5🥰1

Showing the 12 most recent of 12 posts we hold for @quanqian5679. 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.

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

“倩倩的小屋” (@quanqian5679), 215 subscribers as measured 13 September 2026. Telegram Register, tgregister.com/channel/quanqian5679.

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.