🎟️ 抽奖标题:深圳小瑶瑶优惠活动 📪抽奖说明:中奖者机器人会发送中奖信息 中奖截图联系老师:@yuelaiyuehao198 🎫 参与条件: 🎫 加入-小瑶瑶 在校兼职 🎫 加入-深圳天上人间资源榜 🎫 加入-深圳天上人间 🎁 奖品内容: 💰️ 2p优惠券400 × 5 💰️ 1p优惠券200 × 5 💰️ 口令红包10 × 1 📅 开奖时间:2026-07-30 18:00自动开奖 👉 参与抽奖链接: https://t.me/zzbjqrbot?start=join-L178514470893

Channel
小瑶瑶 在校兼职
@xiaoningn
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
2,323subscribers
+1,222 since we began measuring on 14 August 2026
Risers and fallers across the register · movement among entries of 1,000–3,162.
Register entry
| Telegram ID | -1002375931791 |
|---|---|
| Type | Channel |
| Username | @xiaoningn |
| Created | Between 1 September 2024 and 31 March 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 14 August 2026 |
| Last confirmed live | 30 August 2026 |
| Measurements held | 8 |
| Confirmed unchanged | 1 time, most recently 30 August 2026 |
| On Telegram | t.me/xiaoningn |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 30 Aug 2026, 23:38 | 2,323 | +14 |
| 27 Aug 2026, 22:48 | 2,309 | -9 |
| 25 Aug 2026, 02:23 | 2,318 | -34 |
| 21 Aug 2026, 11:45 | 2,352 | +1,257 |
| 18 Aug 2026, 15:33 | 1,095 | -4 |
| 15 Aug 2026, 08:15 | 1,099 | -2 |
| 14 Aug 2026, 19:30 | 1,101 | no change |
| 14 Aug 2026, 19:26 | 1,101 | first reading |
Engagement
16 posts held, back to 12 April 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.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 16 posts for this entry, the most recent from 27 July 2026. An engagement rate over an empty window would be a number about nothing.
What this channel posts
- Video runtime
- 39s
- Average length
- 8s
Measured directly from 5 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
14 reactions across 8 posts, in 2 distinct kinds. The most used accounts for 92.9% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 13 | 92.9% | |
| 👍 | 1 | 7.14% |
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 8 of the 16 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 14 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 16 most recent posts we hold, published 12 April 2026 to 27 July 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
台风来咯
晚上准时开播。
安全抵达宝安机场……
❤2
暑假模式已开启,有谁知道哪里好玩的。
❤1
我同学清纯可爱也刚来深圳,多多关照。
❤2
还是家里的味道好。
❤1
🙈🙈🙈🙈
深圳嫩妹协会报告:https://t.me/szyjj 出击用户:白小纯 出击时间:6.9 出击水费:1200-中奖半价 老师艺名:小瑶瑶 联系方式:@yuelaiyuehao198 老师课室: 龙华 颜值身材: 高颜值,跟频道一模一样无差别,嫩妹,身材很好,165,条子很正,胸B+坚挺,皮肤也好,屁股圆且翘 安全评价:高档小区,住宅,不能再安全了 服务详情: 中奖了小瑶瑶,感觉不错,赶紧约。老师离我很近,走路都能到,高档小区内的住宅楼,门口就是地铁站,方便且安全。 初见小瑶瑶妹妹,惊艳到我了,很漂亮很嫩,身材非常可人。妹妹广东人,在读职校学生,兼职开课,赚钱只为自身开销😂,我也是佩服。 具体流程就不详细说了,身材颜值前面也说了,非常不错。过程中让我又一次惊艳到了,明明是个有颜值有身材的小嫩妹,服务还非常不错,什么都有还主动,还很会聊天和提供情绪价值,关键做爱的各个体位都仿佛有天赋,…
小瑶瑶 在校兼职 pinned a photo
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❤3👍1
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❤1
Showing the 12 most recent of 16 posts we hold for @xiaoningn. 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.
Citation-graph rank
Citation-graph rank — 656,623 of 1,629,808 entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.
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 10 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.
@FanghuaB · 29,0473 posts恰同学少年
@fanghuaR · 13,1342 posts花满楼资源频道
@hmlzyb · 21,6902 posts广深知春园
@ShuYou8 · 14,4412 posts深圳新世界已验证2
@XSJZZZ888 · 21,1512 posts免费抽奖导航
@mianfeichoujiangdaohang · 17,2771 post深圳茶馆-在榜老师
@szcg6 · 31,6071 post深圳少女御姐预备榜
@szSNQSTzx · 17,3901 post深圳新世界已验证
@XSJYYZ888 · 23,3001 post深圳小骚逼验证榜
@Zz1266888 · 8,9231 post
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 30 August 2026 — this entry's latest reading, not the date you are reading this.
“小瑶瑶 在校兼职” (@xiaoningn), 2,323 subscribers as measured 30 August 2026. Telegram Register, tgregister.com/channel/xiaoningn.
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.