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Telegram profile photo for 茜儿的花园

Channel

茜儿的花园

@qianer15888

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

291subscribers

+2 since we began measuring on 11 October 2026

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

Register entry

Telegram ID-1003971377235
TypeChannel
Username@qianer15888
CreatedBetween 1 April 2026 and 14 August 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded11 October 2026
Last confirmed live21 October 2026
Measurements held3
Confirmed unchanged1 time, most recently 21 October 2026
On Telegramt.me/qianer15888

Growth

28729128911 October 2026 — 289 subscribers14 October 2026 — 287 subscribers21 October 2026 — 291 subscribers11 October 202621 October 2026
3 measurements spanning 9 days, net +2. 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 286–292 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
21 Oct 2026, 03:47291+4
14 Oct 2026, 00:34287-2
11 Oct 2026, 19:22289first reading

Engagement

20 posts held, back to 14 August 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
46.4%
avg views ÷ 291 subscribers
Avg views / post
135
8 posts measured
Reaction rate
—
this channel exposes no reaction counts
Posts in window
12
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.

What these figures were computed from
WindowRolling 30 days · latest post in window 11 October 2026
Posts held20 (14 August 2026 – 11 October 2026)
Views total1,081
Reactions total—
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken11 Oct 2026, 19:22 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

Video runtime
21s
Average length
7s

Measured directly from 3 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.

Recent posts

11 Oct 2026, 14:40 UTC60 viewsread 11 October 2026

#杭州肯德基 https://t.me/kdjqjt #超级好评 90-100 #好评 80-89 #中好评 70-79 #中评 60-69 #差评 0-59 【出击时间】:10.11 【出击老师】:#茜儿 【联系方式】:@qianer1588 【出击留名】:费丰润 【开课位置】:拱墅区 【修车水费】:工兵p 【人照评分满分10】:7 【颜值评分满分20】:13 【身材评分满分10】:8分 【吊感评分满分20】:20分 【服务评分满分10】:9分 【态度评分满分20】:16分 【环境评分满分10】:10分 【综合评分满分100】:83分 情绪价值描述:服务还可以吧,做的反馈不错 【过程描述】:有的打✅ 舌吻 口活 ✅ 69舔穴 没问 毒龙 【过程描述】:约的8点整,只能说疑似中介吧,反正和我遇到过的中介挺像的,在楼下待到16才告知楼号,上楼在门口也等了一会。老师还是挺不错的,属于bbw那种,老师还会主…

11 Oct 2026, 13:41 UTC69 viewsread 11 October 2026

杭州嫩妹馆报告:https://telegram.me/hznmg23 【推荐程度】:好评 【优势】年轻嫩妹,皮肤白,bbw 【不足】课室的屋子像我之前的挂逼房 【出击时间】:10月11日 【老师花名】:#茜儿 @qianer1588(@老师ID) 【出击留名】:清风 【开课位置】:半山 【修车水费】:500p工兵 【高端服务】:有的打✅ ① 舌吻 ✅ ② 69舔逼 ✅ ③ 情绪价值 ✅ ④ 毒龙 【人照评价】:是本人 【身材评价】:162cm 110斤 【胸部评价】:b 【鲍鱼评价】:毛量很少,紧度正常,水量正常 【服务评价】:全 【态度评价】:无罚站,无催赶 【环境评价】:干净,有一次性浴巾和漱口水 【过程描述】:在工兵群看到了老师,看还有名额就报名出击,和老师约好时间就到达课室。见面老师跟照片一致,18岁嫩妹,身材偏bbw,老师帮忙洗澡,洗的很仔细,然后再给自己洗 由于…

11 Oct 2026, 09:42 UTC136 viewsread 11 October 2026

我在杭州同学会上榜啦! 老师免费上榜,海量六折工兵 群内大量现金红包,报销券等你来抽! https://t.me/Hz_txh

11 Oct 2026, 09:03 UTC153 viewsread 11 October 2026

【杭州修车协会】 群里大量现金红包、白嫖福利、水群奖励等你来拿! 协会: https://t.me/hzxc666666 收录杭州优质老师,高质量狼友 每月现金出击补贴!白嫖应有尽有!

11 Oct 2026, 08:39 UTC157 viewsread 11 October 2026

杭州嫩妹馆报告:https://telegram.me/hznmg23 【推荐程度】:好评 【优势】年轻嫩妹,皮肤白,bbw 【不足】课室的床太小了而且响 【出击时间】:10月11日 【老师花名】:#茜儿 @qianer1588(@老师ID) 【出击留名】:晚安 【开课位置】:拱墅区 【修车水费】:500p工兵 【高端服务】:有的打✅ ① 舌吻 ✅ ② 69舔逼 ✅ ③ 情绪价值 ✅ ④ 毒龙 【人照评价】:人照相符,没有差别(从人照相似度,气质穿搭等进行评价) 【身材评价】:身材bbw,身高165左右,皮肤白嫩细腻(身高腿长皮肤、是否有纹身等进行评价) 【胸部评价】:b,很软,一手抓(罩杯,软硬等进行评价) 【鲍鱼评价】:粉色,毛量很少,紧度正常,水量正常(结合户形,毛量,水量,紧度评价) 【服务评价】:全(服务是否做全) 【态度评价】:好,无罚站,无催赶(过程有无机车,催、赶…

11 Oct 2026, 07:27 UTC183 viewsread 11 October 2026

嫩妹馆福利群来啦💥 5折、6折、7折优惠免费领,现金红包抽奖不停! 认准榜单老师,专属福利一手掌握 速进群: 🔣点这里进群🔣

Showing the 12 most recent of 20 posts we hold for @qianer15888. 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 21 October 2026 — this entry's latest reading, not the date you are reading this.

“茜儿的花园” (@qianer15888), 291 subscribers as measured 21 October 2026. Telegram Register, tgregister.com/channel/qianer15888.

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.