Posted without readable text
❤2

Channel
@qingtiantiangy
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
6,040subscribers
+168 since we began measuring on 31 October 2026
Risers and fallers across the register · movement among entries of 3,162–10,000.
| Telegram ID | -1001771459374 |
|---|---|
| Type | Channel |
| Username | @qingtiantiangy |
| Description | 频道群 @tiantianqin 频道 https://t.me/qingtiantiangy 双响联系 @tianqinqinkids_bot 吻到窒息,芭蕾舞女孩 |
| Created | Between 1 December 2021 and 30 April 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 31 October 2026 |
| Last confirmed live | 4 November 2026 |
| Measurements held | 3 |
| Confirmed unchanged | 1 time, most recently 4 November 2026 |
| On Telegram | t.me/qingtiantiangy |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 4 Nov 2026, 08:46 | 6,040 | +119 |
| 1 Nov 2026, 15:07 | 5,921 | +49 |
| 31 Oct 2026, 16:22 | 5,872 | first reading |
17 posts held, back to 13 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 3 pages of Telegram’s post history, 20 posts per page.
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 7 of 9 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 2 November 2026 |
|---|---|
| Posts held | 17 (13 September 2026 – 2 November 2026) |
| Views total | 15,470 |
| Reactions total | 6 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 5 Nov 2026, 00:58 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.
Lifetime counters from Telegram’s own channel header, read 5 November 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.
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.
15 reactions across 7 posts, in 2 distinct kinds. The most used accounts for 93.3% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 14 | 93.3% | |
| 😁 | 1 | 6.67% |
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 9 of the 17 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 15 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 17 most recent posts we hold, published 13 September 2026 to 2 November 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.
Telegram’s own ‘edited’ marker: 0 of 11 posts held from the last 30 days (0%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).
Posted without readable text
❤2
【老师分类】: #御姐 #服务系 【老师艺名】:#秦甜甜 【联系方式】:@tianqinqin 【验证留名】:#达咩 【嗯嗯费用】:1000p-竞拍 【课室位置】:滨江区 【推荐指数】:🌟🌟🌟 【出击评价】:#好评 【老师技能】:#一字马、腿压肩、水中萧、事后萧、唇滑AB面、吸蛋蛋、深喉+舔蛋 ✨约见感觉:高挑纤瘦,确实有舞蹈生的身姿 ✨颜值身材:妆容精致,整体观感25左右不老不嫩整整好。身体比较瘦但有B的胸且软,全身白皙美发现纹身,是一具美好的肉体 ✨服务评价: 全程服务仔细,有水中萧和事后萧,吸蛋十分有感觉会一口将两个蛋一起吸嘴里用舌头舔舐。深喉的同时突然有一片温热的舌头舔舐到蛋蛋上,这你受得了吗! 从未体验过。 反向服务环节甜甜全程反应亢奋,浑身剧烈抖动,在准备插入时主动将腿掰到靠肩,跟频道那张照片一模一样,如此骚样必须站起来蹬,我双手摁住翘起的两瓣屁股和大腿背面,一下将小达咩笔…
❤1
杭州爆破严选认证报告模板 https://t.me/HZBPYXQ 【老师艺名】#秦甜甜 【老师 I D :】@tianqinqin 【出击时间】11月1日 【大概位置】滨江 【狼友账号】朝伟 【开课价格】竞拍半价 【老师类型】御姐魅魔 【大概年龄】26 【客观评价】超级好评 各项满分为10分,软件.硬件各50 综合100分 硬件: 颜值 8分 身材 9分 胸型 9分 户型 8分 水量紧度 8.5分 硬件评分:42.5 软件: 服务态度 10分 服务技巧 10分 屌感 9 分 啪啪反馈 8.5分 突出技巧 10分 软件评分:47.5 综合评分:90 软件硬化工程施工过程: 前言 此次出击比较意外与突然 昨天在外面吃饭见群里竞拍热火朝天 好兄弟苏白似乎志在必得 我便随手抬了抬价格 没想到苏白和GG棒刚好都不在 在最后5分钟竟被我捡了个漏 恰逢最近日程繁忙 只能硬是在缝隙里凑彼此的…
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你的羊偷跑到我这里,他回去的时候,我在它的绒毛里,捎上我悄悄塞进去的晚(喜)安(欢)
繁花报告模板:https://t.me/HZFHLYQ 【优势】身体柔韧度极好,看得出来是练过的 【劣势】没有明显劣势 【妹子花名】:秦甜甜 【联系方式】:@tianqinqin 【妹子年龄】:24 【验证留名】:不知名小帅哥 【验证时间】:11月1日 【上课费用】:700p(兑换300) 【颜值】:人照八分像,黑色包臀裙,颜值中等 【身材】:165健康肤色胸b无纹身 【服务态度】:态度很棒,很温柔,懂引导 【时间管理】:课位/课时安排合理 【卫生环境】:事前事后有清洗,课室干净整洁,方便停车 【额外加分项】:老师身体柔软度极佳,做爱姿势管够 【综合评价】:超级好评 【流程小文】:看到折叠屏的瞬间抢下优惠券,约了周日的头课,老师指引上楼,安全抵达课室,映入眼帘的是身材优越,黑色包臀裙,十分健谈的老师,态度非常好,情绪价值很足。 老师很讲卫生,课室干净整洁,有陪浴当废物就行,洗的很认真还有水中萧,来到炮房询问服装,个…
秦甜甜的朋友圈 pinned «杭州,滨江 开课啦 💗芳名:秦甜甜 湖北武汉人 💋芭蕾舞蹈家,一字马,标准舞姿,解锁各种姿势 👠168cm 👙 天然 C 98 斤 性感温柔,02年 真人真照,真胸 我的特长就是解锁所有姿势,哥哥们没有试过,或者心里想试的姿势,全部可以找我解锁,韧性超级超级好,也可以折叠啪啪,就是折叠手机,一字马更不用说,最普通的存在,快来约我吧 ❤️ 接受:鸳鸯浴,69,制服可选择,裸吹、波推、臀推,舔蛋蛋,指划,新骚度,折叠做爱,任何想要姿势全部拿捏,一字马最正常,丝袜制服诱惑、…»
📌91公馆认证,只上好菜😌 【#秦甜甜】@tianqinqin 频道 【课费】#1000p 1700pp 【地址】#杭州 #滨江 【标签】#御姐 #舌吻 #69互舔 #制服 #一字马 【报告文】 【狼友认证】 ➡️激情群聊⬅️ 🛫搜索指引🛫 ⚠️狼友认证只能确保货对版,拒绝高美颜,AI等。其他概不负责。😛 三折叠怎么折都有面,1个7折兑换
杭州爆破严选认证报告模板 https://t.me/HZBPYXQ 【老师艺名】#秦甜甜 【老师 I D :】@tianqinqin 【出击时间】10月31日 【大概位置】滨江 【狼友账号】noob 【开课价格】1000 【老师类型】御姐 网红 【大概年龄】20 【客观评价】超级好评 各项满分为10分,软件.硬件各50 综合100分 硬件: 颜值 9分 身材 10分 胸型 8分 户型 9分 水量紧度 9 分 硬件评分:45 软件: 服务态度 10分 服务技巧 10分 屌感 9分 啪啪反馈 9分 突出技巧 10分 软件评分:48 综合评分:93 软件硬化工程施工过程: 进门看到老师,人照基本差别不大,是不会踩雷的美女,身高168,身材比例优越,老师的性格开朗,十分健谈,情绪价值很足,服务态度很好。 老师有陪浴+背部服务,可选配丝袜高跟等,老师的嘴巴是打桩机,口出了幻影,艺术成分很…
❤1
秦甜甜的朋友圈 pinned a photo
杭州,滨江 开课啦 💗芳名:秦甜甜 湖北武汉人 💋芭蕾舞蹈家,一字马,标准舞姿,解锁各种姿势 👠168cm 👙 天然 C 98 斤 性感温柔,02年 真人真照,真胸 我的特长就是解锁所有姿势,哥哥们没有试过,或者心里想试的姿势,全部可以找我解锁,韧性超级超级好,也可以折叠啪啪,就是折叠手机,一字马更不用说,最普通的存在,快来约我吧 ❤️ 接受:鸳鸯浴,69,制服可选择,裸吹、波推、臀推,舔蛋蛋,指划,新骚度,折叠做爱,任何想要姿势全部拿捏,一字马最正常,丝袜制服诱惑、 纯欲结合(想舌吻的哥哥➕200红包包) 不接受:撞机,喝酒,变态,骂人,无套,皮肤病 一次 1000 50分钟 二次 1700 80分钟 不夜 联系方式 @tianqinqin
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Photo, posted without a caption
秦甜甜的朋友圈 pinned a video
Showing the 12 most recent of 17 posts we hold for @qingtiantiangy. 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.
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.
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.
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 November 2026 — this entry's latest reading, not the date you are reading this.
“秦甜甜的朋友圈” (@qingtiantiangy), 6,040 subscribers as measured 4 November 2026. Telegram Register, tgregister.com/channel/qingtiantiangy.
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.