💋西安外卖上门空姐兼职:玥妃【青春颜值口活超绝】 #西安 #上门 #外卖 #空姐 #玥妃 #后宫 清纯气质天花板(圈外新人兼职首开)Hight-172cm Wight-50kgCup·真C十 真实年龄03年City北京特色·口活超绝#后入超级大屁屁细腰翘臀绝佳视觉享受胸型超级酥软前凸后翘可69不舌吻上课热情超级配合有制服,丝袜無风尘气双商高 乖巧听话不催不事本人温柔体贴可爱大方好评满满 👤预约联系客服(工作时间中午13:00-凌晨3:00) 🤖双向限制机器(如遇客服消息无法发送点击) 🫀资源发布频道(不同类型会所外卖商K集合) 多年西安娱乐经理不套路不充值不办卡真诚营销有需请私

Channel
西安外卖上门【后宫】团队相册
@xianhougong
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
48subscribers
+7 since we began measuring on 8 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
Register entry
| Telegram ID | -1003901560783 |
|---|---|
| Type | Channel |
| Username | @xianhougong |
| Description | 西安上门【后宫系列】上门相册不定期更新,每日更新当日排班,资源总频道 @xianvipever |
| Created | Between 1 April 2026 and 17 May 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 11 October 2026 |
| Last confirmed live | 11 October 2026 |
| Measurements held | 5 |
| On Telegram | t.me/xianhougong |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 11 Oct 2026, 23:23 | 48 | no change |
| 4 Oct 2026, 06:37 | 48 | +4 |
| 18 Sept 2026, 15:40 | 44 | +2 |
| 23 Aug 2026, 20:58 | 42 | +1 |
| 8 Aug 2026, 07:15 | 41 | first reading |
Engagement
3 posts held, back to 17 May 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
- 554.2%
- avg views ÷ 48 subscribers
- Avg views / post
- 266
- 1 post measured
- Reaction rate
- —
- this channel exposes no reaction counts
- Posts in window
- 1
- of 3 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.
| Window | Rolling 30 days · latest post in window 14 September 2026 |
|---|---|
| Posts held | 3 (17 May 2026 – 14 September 2026) |
| Views total | 266 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 11 Oct 2026, 23:23 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
- Photos
- 95
- Videos
- 13
- Links
- 15
Lifetime counters from Telegram’s own channel header, read 11 October 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.
- Video runtime
- 17s
- Average length
- 17s
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
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 2 of the 3 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 3 most recent posts we hold, published 17 May 2026 to 14 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
🧞♂️西安上门【后宫】9月29号排班在岗表实时出勤记录【此贴文置顶每日编辑最新】 #西安 #上门 #后宫 #外围 #兼职 #模特 点击进入【后宫】线上选人相册·密码468(注意排班有的就是今天在的·排班无既今日不在) 👤预约联系客服(工作时间中午13:00-凌晨3:00) 🤖双向限制机器(如遇客服消息无法发送点击) 🫀资源发布频道(不同类型会所外卖商K集合) 多年西安娱乐经理不套路不充值不办卡真诚营销有需请私
❤1
💋西安外卖上门空姐兼职:娴妃【高颜空乘69】 #西安 #上门 #外卖 #空姐 #娴妃 #后宫 · Height/1.72. Weight/90·Age/25Bust/B 真实东方航空乘务员全自動騎乘搖內純外騷反差高素养,有谈吐!温柔聪慧笔直大长腿A4腰 无纹身 后宫最Sao没有之一皮肤白皙女友般的体验可69本人与照片一致 👤预约联系客服(工作时间中午13:00-凌晨3:00) 🤖双向限制机器(如遇客服消息无法发送点击) 🫀资源发布频道(不同类型会所外卖商K集合) 多年西安娱乐经理不套路不充值不办卡真诚营销有需请私
❤1
Showing the 3 most recent of 3 posts we hold for @xianhougong. 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
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
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 11 October 2026 — this entry's latest reading, not the date you are reading this.
“西安外卖上门【后宫】团队相册” (@xianhougong), 48 subscribers as measured 11 October 2026. Telegram Register, tgregister.com/channel/xianhougong.
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.