Photo, posted without a caption

Channel
倩倩个人资料👄👄
@qian1283
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
301subscribers
+214 since we began measuring on 7 September 2026
Risers and fallers across the register · movement among entries of Under 1,000.
Register entry
| Telegram ID | -1004329517037 |
|---|---|
| Type | Channel |
| Username | @qian1283 |
| Created | Between 1 June 2026 and 31 August 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 10 September 2026 |
| Last confirmed live | 18 September 2026 |
| Measurements held | 4 |
| Confirmed unchanged | 1 time, most recently 18 September 2026 |
| On Telegram | t.me/qian1283 |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 18 Sept 2026, 00:39 | 301 | +149 |
| 10 Sept 2026, 09:22 | 152 | no change |
| 10 Sept 2026, 09:14 | 152 | +65 |
| 7 Sept 2026, 14:17 | 87 | first reading |
Engagement
15 posts held, back to 5 September 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
- 195.0%
- avg views ÷ 301 subscribers
- Avg views / post
- 587
- 14 posts measured
- Reaction rate
- 0.146%
- reactions ÷ views · ER floor
- Posts in window
- 15
- of 15 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 14 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 10 September 2026 |
|---|---|
| Posts held | 15 (5 September 2026 – 10 September 2026) |
| Views total | 8,217 |
| Reactions total | 6 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 10 Sept 2026, 09:22 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
- 15s
- Average length
- 15s
Measured directly from 1 video 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
6 reactions across 5 posts, in 2 distinct kinds. The most used accounts for 83.3% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 5 | 83.3% | |
| 👍 | 1 | 16.7% |
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 15 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 6 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 15 most recent posts we hold, published 5 September 2026 to 10 September 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
派大星出击报告 验证留名:山西布政司 验证时间:9-8 老师花名:倩倩 城市坐标:沙井 上课花费:700 颜值身材:曲线玲珑 服务内容: 课表一致 出击体验:约的倩倩。课表上该有的都有,服务态度也非常好。 进门她穿白色包臀裙,性感御姐气质往那儿一站就很能打。真人顶美,比不少网红线下还耐看,身材比例好,腰细,胸大、软、漂亮,全身上下又软又白,皮肤光滑细致。互删转账记录,安全这块也放心。 她帮着脱衣服去洗澡,洗得干净,服务很到位。洗完口活非常好,含得用心,不敷衍。正戏她很敏感,做的时候又温柔,水来得快,反应真,整场不冷不硬。做完还不赶人,待着舒服,流连忘返那种。 只能说六边形战士,没有明显缺点。人美、身材好、口活在线、态度好、安全也注意。去了还想去,下次还来。 优点缺点:服务项目多 推荐程度:⭐️⭐️⭐️⭐️⭐️ 联系方式: @acg2elkr
老公们,可以约课啦😘
群友出击笔记 ( 出击笔记: t.me/szxglyhglBot?start=-1002506803286 ) 位置坐标: 宝安 沙井 验证留名: 乐途 上课时间: 2026/08/08 老师花名: 倩倩 联系方式: @acg2elkr 上课花费: 1500包时 老师质量: 高 ( PS: 从服务态度、服务技能、皮肤、年龄、胸大小、身高、腿长、下面粉/黑、 屌感、情绪价值、等描述 ) 服务内容: 深喉一绝 上课过程: 亲咪咪,口JJ,今天看到老师有空,正好来周围就约了课,按照老师指引上楼,进来就看到老师躲在门后,娇羞的像等男朋友的小女友,拉着老师的手来到沙发,老师顺势躺在我的怀里,开始上下齐手,大腿紧致光滑 优点缺点: 白白白 高颜值 嫩妹 服务好i人福音 推荐程度:强烈推荐 ( 不推荐/一般/可冲/推荐/强烈推荐 ) 必须学生提交,提供约课聊天记录截图 ( 关键信息打码 ) …
可以预约了,2点半后都有位😘
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深圳茶餐厅 🍵 本群倡导言论自由,欢迎诸位踊跃交流,并设有丰富福利活动 🎉 📣群内不定时发送小姐姐优惠券,现金活动+排名红包🧧+老师抽奖活动+详情推荐等🎁,只要你来我们的缘分就开启啦… 最重要的是:老板娘超有趣的🤫 茶餐厅:https://telegram.me/Sz_cct 取餐区:https://t.me/Sz_qcq 老板娘:@CCTgly 双向联系:@LBNZS_bot 🤝
开课,可以预约啦
#倩倩 @acg2elkr 700 宝安 人照课表差异: 一致 优点: 技术一流 不足: 暂时没有发现 补充: 刚进门,倩倩穿着高跟鞋迎上来抱住我,笑着说来了呀,嘴先贴过来亲了一口,手已经伸进裤子里握住那根东西揉了两把。还没坐下,她就跪到我两腿中间,把已经硬起来的鸡巴掏出来,张嘴就含住。 舌头又湿又滑,围着龟头转着圈舔,接着整根含进去一上一下吞吐,啧啧水声很响。她一边吃一边用手揉你卵蛋,还不时抬头看你。我按着她后脑勺往里顶,她也不躲,就那么深喉,口水顺着下巴往下滴。 快射时她把嘴张开,伸出舌头接着。一股股精液喷在她舌头上、嘴唇上、下巴上,白花花全挂着,就那么张着嘴让你看。倩倩是我遇到过口爆最牛的老师!!! 评分: 5 投稿信息: 时间: 2026-09-06 投稿人: 肥四 #历史投稿8300306694 投稿数: 1 提示:本频道已建立10万份报告库,检出抄袭即拉黑。 » 繁花资源 » 交流群组 »…
❤2
第一天开课,宝宝们多多关照哦😘
👍1
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❤1
倩倩个人资料👄👄 pinned a photo
Showing the 12 most recent of 15 posts we hold for @qian1283. 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 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.
Names
Channels on the register whose handles appear in this channel's posts.
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 18 September 2026 — this entry's latest reading, not the date you are reading this.
“倩倩个人资料👄👄” (@qian1283), 301 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/qian1283.
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.