汪小姐的朋友圈 pinned a photo
Channel
汪小姐的朋友圈
@wangxiaojie999
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
1,167subscribers
+923 since we began measuring on 2 September 2026
Risers and fallers across the register · movement among entries of 1,000–3,162.
Register entry
| Telegram ID | -1004417542219 |
|---|---|
| Type | Channel |
| Username | @wangxiaojie999 |
| Created | Between 1 June 2026 and 31 August 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 2 September 2026 |
| Last confirmed live | 19 September 2026 |
| Measurements held | 6 |
| Confirmed unchanged | 1 time, most recently 19 September 2026 |
| On Telegram | t.me/wangxiaojie999 |
Topic
Giveaways & airdrops — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 19 September 2026 and assigned it the closest of 31 fixed categories, at 37% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and why it has no browse page of its own yet.
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 19 Sept 2026, 15:40 | 1,167 | -117 |
| 15 Sept 2026, 06:00 | 1,284 | -254 |
| 12 Sept 2026, 00:18 | 1,538 | -6,807 |
| 7 Sept 2026, 09:22 | 8,345 | +6,841 |
| 3 Sept 2026, 00:26 | 1,504 | +1,260 |
| 2 Sept 2026, 16:03 | 244 | first reading |
Engagement
18 posts held, back to 31 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
- 16.9%
- avg views ÷ 1,167 subscribers
- Avg views / post
- 197
- 15 posts measured
- Reaction rate
- 0.313%
- reactions ÷ views · ER floor
- Posts in window
- 18
- of 18 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 3 of 15 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 2 September 2026 |
|---|---|
| Posts held | 18 (31 August 2026 – 2 September 2026) |
| Views total | 2,953 |
| Reactions total | 2 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 2 Sept 2026, 16:03 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
- 9s
- Average length
- 5s
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
2 reactions across 2 posts, in 1 kind.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 2 | 100.0% |
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 3 of the 18 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 2 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 18 most recent posts we hold, published 31 August 2026 to 2 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
🎰 @wangxiaojie955 汪小姐新号福利 📮 抽奖条件: 🎫 加入-杭州半岛嫩妹会 🎫 加入-杭州半岛新人工兵频道 🎫 加入-汪小姐的朋友圈 🍀 每1分中奖几率加1倍 ⤷在群中输入「喜+1」 🎁 奖品内容: 100优惠券 × 2 28.8红包 × 5 💡 活动说明: 开奖一周有效 📅 开奖日期:(UTC+8) 2026年09月04日 20时00分36秒
Video, posted without a caption
汪小姐的朋友圈 pinned a photo
🎰 @wangxiaojie955 汪小姐福利抽奖 📮 抽奖条件: 🎫 加入-杭州925半套群 🎫 加入-杭州925半套榜 🎫 加入-汪小姐的朋友圈 🍀 每1分中奖几率加1倍 ⤷在群中输入「喜+1」 🎁 奖品内容: 一百优惠券 × 2 28口令红包 × 5 💡 活动说明: 中奖五日内兑换,超时作废 📅 开奖日期:(UTC+8) 2026年09月05日 17时34分00秒
老是炸号好烦阿
Photo, posted without a caption
Photo, posted without a caption
Photo, posted without a caption
Photo, posted without a caption
杭州925半套报告: https://telegram.me/hz925b 评分:(满分💯) 老师名字:销售汪 @wangxiaojie95 老师类型:御姐等 出击留名:我不会游泳 上课费用:450 开课地区:上城 态度评价:好 服务评价:很好 流程小文:错过了竞拍只能全价出击,群里刷到了小姐姐的信息也是上城的,于是约好时间火速前往。一进门就看到身穿齐逼小短裙的小姐姐,很骚。主动交水费又不贵,一起洗完澡还带有水中箫的。之后小姐姐就会帮你擦身体。擦身体的过程中,了解一下小姐姐的基本信息,还聊得火热呢,非常舒爽。当你看向她的时候。还有眼神的交流,眼神中满是拉丝的诱惑,涂了口红的小嘴巴就硬梆梆,齐逼小短裙下,看着阴毛上面没有,小逼逼豆豆那留了一点。哈哈,若隐若现,甚是勾魂。接着开始了她温柔又细腻的 b 面服务,很喜欢没有美甲的手的指滑,再加上老师皮肤非常好,在滑动的过程中不停的用下体在腿上游离,B面服务,也进行了菊花的探索。撩得…
❤1
杭州925半套报告: https://telegram.me/hz925b 评分:(满分💯) 老师名字:汪小姐 @wangxiaojie95 老师类型:御姐 出击留名:东鹏特饮 上课费用:半价 开课地区:上城 态度评价:好 服务评价:很好 流程小文:因为本来去过,现在一看老师回来了。立马竞拍拿下。想到那张骚气的脸和不要的口。就立刻出击,进门九被老师牵起小手领进房门。定眼看到老师居然胖了几斤,立马先摸摸看到底胖在了哪里。哈哈哈😂 主动交了水费。然后一起洗澡,水中箫还是厉害。口活技术还是一点没变,帮忙擦干后躺好。上来先是胸推,感受着曼妙的身材,皮肤摸起来很丝滑带有弹性。胸挺大的,一只手还握不住。唇舌过程中,还带润滑喷剂,简直不要太爽。背面还会吸气,又是一波胸推加漫游操作。毒龙是纯舌那种,太顶了!后面开始唇舌口,一整根都给吞与齿感,很滑很润。不带一点👋的,最后还可以挑选一个姿势射,让老师躺下,我站着给我倒着口。每一下都是深喉,一…
Showing the 12 most recent of 18 posts we hold for @wangxiaojie999. 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 3 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.
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 19 September 2026 — this entry's latest reading, not the date you are reading this.
“汪小姐的朋友圈” (@wangxiaojie999), 1,167 subscribers as measured 19 September 2026. Telegram Register, tgregister.com/channel/wangxiaojie999.
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.