Telegram RegisterThe public register of Telegram
Telegram profile photo for 芊芊的小屋

Channel

芊芊的小屋

@qianqian85271

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

267subscribers

+236 since we began measuring on 13 October 2026

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

Register entry

Telegram ID-1004474993887
TypeChannel
Username@qianqian85271
CreatedBetween 1 June 2026 and 30 September 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded13 October 2026
Last confirmed live21 October 2026
Measurements held4
Confirmed unchanged1 time, most recently 21 October 2026
On Telegramt.me/qianqian85271

Growth

3126714913 October 2026 — 31 subscribers13 October 2026 — 31 subscribers14 October 2026 — 102 subscribers21 October 2026 — 267 subscribers13 October 202621 October 2026
4 measurements spanning 8 days, net +236. 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”.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
21 Oct 2026, 03:48267+165
14 Oct 2026, 12:06102+71
13 Oct 2026, 12:2231no change
13 Oct 2026, 11:4731first reading

Engagement

9 posts held, back to 13 October 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
27.7%
avg views ÷ 267 subscribers
Avg views / post
73.9
8 posts measured
Reaction rate
0.82%
reactions ÷ views · ER floor
Posts in window
9
of 9 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 1 of 8 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 13 October 2026
Posts held9 (13 October 2026 – 13 October 2026)
Views total591
Reactions total1
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken13 Oct 2026, 12:22 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
6s
Average length
3s

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.

Reaction mix

1 reaction across 1 post, in 1 kind.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤1100.0%

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 1 of the 9 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 1 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 9 most recent posts we hold, published 13 October 2026 to 13 October 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

13 Oct 2026, 10:29 UTC65 viewsread 13 October 2026
Photo

🎰 上海芊芊半价券 📮 参与条件: 🌏️ 归属地 上海,江苏 🪪 必须设置用户名 🎫 加入-芊芊的小屋 🎫 加入-野寻·上海学生交流群 └ 🎟️ 发言数大于 6 条 🎫 加入-野寻·上海打卡通告群 └ 🔑 发送口令﹝芊芊宝宝﹞ 🎫 加入-野寻·上海活动公告 🎫 加入-野寻·上海修车档案 ❗ 口令提示: 请先参与抽奖,再发送口令激活 🎁 奖品内容: 💰️ 芊芊半价通用券 × 1 ⚠️ 抽奖说明: 中奖后请24小时内联系芊芊老师( @qianqian8527 ),无出击意向不要参与 在3天内完成出击 作业报告向 @chaseshxc_bot 提交 🔋 人品加成:⚡️× 9 规则 📅 开奖日期:(北京时间) 2026年10月16日 12时00分00秒

13 Oct 2026, 06:07 UTC94 viewsread 13 October 2026
Forwarded from @chasesh_lsdaPhoto

♥️ CHASE | ♡ SHANGHAI 💌 0条车评,综合评分 好评 0% |人照 |服务 中评 0% |颜值 |态度 差评 0% |身材 |环境 艺名 : #芊芊 地区 : #全上海 数据 : 2008_171_55_B 价格 : #11P #18PP #36YE 服务 : #可过夜 #车震 #可外出 #69 #共浴 #舌吻 标签 : #嫩妹系 #兼职学生 🌍 联系老师 ✉️ 点击评价 主动配合任意姿势 初恋女友感 在读学生兼职 只外出 💌 学生交流 💌 作业评价 💌 工兵活动 💌 会员制度

13 Oct 2026, 04:52 UTC114 viewsread 13 October 2026
Photo

🌷我在【上海栖心地】工兵上榜了🌷 https://t.me/SHqixindi 🌷每日免费拿 【半价、红包】优惠🌷 更有【抽奖 白嫖 现金红包】等着你 🌷上海栖心地榜单🌷 https://t.me/SHqixindi_bangdan 🌷上海栖心地报告区🌷 https://t.me/SHqixindibaogaoqu 🌷上榜管理: @SHqixindi_Guanli_bot🌷

13 Oct 2026, 04:15 UTC47 viewsread 13 October 2026
Photo

🍃艺名 #芊芊 🌎区域 #上门 📡联系:@qianqian8527 😀助推频道 💰课费:#1000p #1800pp 额外积分:约课前报*艺术展览会推荐 👑绅士Vip群 ✅标签 :#工兵验证 点击返回工兵区 📡频道:https://t.me/qianqian85271 中转平台 ✍️ 写报告 点击更多福利 📱 福利群 📖 报告区 🔥人气榜单 ——————————————————— 📋 老师个人报告:https://t.me/Yszbgbot?start=report_qianqian8527 工兵福利(必须出报告) 500p 900pp 剩余3名 共3名 交流群发送“工兵”获取模板 填写并附带300积分 以上截图 找 @yishu…

13 Oct 2026, 04:03 UTC122 views1 reactionsread 13 October 2026

👍👍👍【艺术展览会福利群】⬇️ 免费拿5折6折7折优惠 和抽奖 白嫖 现金红包🧧福利 本群专属手势认证高质量老师 上海艺术展览会福利群: https://t.me/+nFnE0wANtSRkMjEx 点击进去备用群 上海艺术展览会总榜单:https://t.me/+Bc16na5DQI82MDli 上海艺术展览会人气推荐榜 https://t.me/+vOj1VuT48NE3MDc1 上海艺术展览会中转平台 https://t.me/+jzWwy36Lm1M0MGEx 展览会老师广告群 @shanghaiyishu 个人推荐频道88🧧 📡 上榜管理:@yishuja_bot 📡 管理秘书:@Yishujia798_bot 📡 投稿报告:@Yszbgbot

❤1

Showing the 9 most recent of 9 posts we hold for @qianqian85271. 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 4 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 21 October 2026 — this entry's latest reading, not the date you are reading this.

“芊芊的小屋” (@qianqian85271), 267 subscribers as measured 21 October 2026. Telegram Register, tgregister.com/channel/qianqian85271.

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.