Channel
@qiqi520lovel
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
4,048subscribers
+200 since we began measuring on 16 August 2026
Risers and fallers across the register · movement among entries of 3,162–10,000.
| Telegram ID | -1003970314327 |
|---|---|
| Type | Channel |
| Username | @qiqi520lovel |
| Created | Between 1 April 2026 and 17 June 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 16 August 2026 |
| Last confirmed live | 18 September 2026 |
| Measurements held | 12 |
| Confirmed unchanged | 1 time, most recently 18 September 2026 |
| On Telegram | t.me/qiqi520lovel |
Other / unclassifiable — 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 13 September 2026 and assigned it the closest of 31 fixed categories, at 75% 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.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 18 Sept 2026, 03:00 | 4,048 | +2 |
| 14 Sept 2026, 07:15 | 4,046 | +17 |
| 10 Sept 2026, 14:59 | 4,029 | +2 |
| 5 Sept 2026, 18:36 | 4,027 | +37 |
| 1 Sept 2026, 10:18 | 3,990 | +6 |
| 29 Aug 2026, 20:13 | 3,984 | +21 |
| 26 Aug 2026, 20:28 | 3,963 | +38 |
| 23 Aug 2026, 11:18 | 3,925 | +46 |
| 19 Aug 2026, 19:58 | 3,879 | +23 |
| 16 Aug 2026, 19:36 | 3,856 | +8 |
| 16 Aug 2026, 02:00 | 3,848 | no change |
| 16 Aug 2026, 01:45 | 3,848 | first reading |
16 posts held, back to 17 June 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 8 August 2026. An engagement rate over an empty window would be a number about nothing.
Measured directly from 4 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.
28 reactions across 10 posts, in 2 distinct kinds. The most used accounts for 96.4% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 27 | 96.4% | |
| 💔 | 1 | 3.57% |
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 13 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 28 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 17 June 2026 to 8 August 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.
【时间】：2026-08-08 【老师】：琪琪 【留名】：哈利 马尔蒂奎 【费用】：500P 【评价】：👍 好评 【人照】：9 【颜值】：9 【身材】：9 【服务】：10 【态度】：9 【环境】：9 【综合】：9.17 【过程】：晚上闲的无聊就准备出击了，选到这个老师，约好了时间，到了之后顺利进入，先给茶水费后，老师就开始给我洗澡，洗的很细致了，洗完之后老师开始做服务，还带按摩的，手法跟专业按摩店一样，不过我个人不吃痛，后来给我按肩的时候我受不了太给力了，就开始做特色服务了，AB面全部来一遍一点不敷衍，还有独家的口技，算是服务非常好的了，最后入正题，一整套下来感觉性价比不错，推荐比较在意服务的可以尝试一下，综合给到好评
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🎀艺名：琪琪上城（300P特价课）御姐服务型自聊 🌈地址: 上城区 💥车费:500p 800pp 🚀联系：@qiqi521love 💎配件：https://t.me/qiqi520lovel ✅视频:已认证是真人 杭州聊天群：@tianxianfa7
❤6
半岛嫩妹会报告模板： https://telegram.me/hangzhoubandao 【优势】服务到位价格实惠 【不足】 【妹子花名】：琪琪 【联系方式】：@qiqi521love 【妹子年龄】：30 【验证留名】：惜霜 【验证时间】：7月30日 【大概位置】：明桂北苑东南门 【修车水费】：500p 【高端服务】：有的打✅ ① 舌吻 ② 69舔逼 ③ 情绪价值 ④ 毒龙 【人照相似】：本人和照片差不多8分像 【身高身材】：少妇身材 【凶器罩杯】：胸型c 挺软的 【湿度紧度】：比比户型颜色正常 水很多 【环境细节】：交通/出入方便， 【个人卫生】：有漱口水/牙刷/浴巾，事前事后有清洗 【时间管理】：开课准时，排课宽松，课时做完 【服务点评】：服务到位，无机车 【推荐程度】：✅ 差评 中评 中好评 好评✅ 超级好评 【流程小文】：三更半夜睡不着想找个少妇卸火看到老师的照片比较喜欢价格也实…
❤5
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❤1
🍀森林公园老师报告🍀 9分以上为优质，8分以上中等，7分以下黑榜踢出 🐳【时间】：2026-07-09 🌸【老师】：雅琪 🐺【评价人】：NUdd 🐝【人照】：7.5 🦄【颜值】：8 🦋【身材】：8.5 🐍【服务】：10 🐞【态度】：10 🐼【环境】：10 ❤️🔥【过程】：跟老师约了半夜的课，导航到楼层，特意多上了一层观察观察，结果老师又指挥上下楼，安全意识很强，课室也安全，晚上小区里没什么人。进门后脱衣洗澡，老师帮洗，洗的很仔细，还有搓，是我体验的最夯的陪浴。然后趴在床上，老师开始按摩，握草这个按摩按的比专业的还专业，非常舒服，我现在肩膀还是疼的，劲不小哈哈。按摩完了开始从上到下开始舔，嘴像吸盘一样吸的我好舒服，然后到下面做毒龙，时间很长，纯舌，感觉都要伸进去了爽死。正面再开始舔到口活，口活也是一绝，没有齿感，偶尔还有深喉。到正式阶段插入，传教士起手干了一会老师说换姿势后入，一边摸着屁股一边操，老师屁股很紧致，手感绝了。最后蓄…
❤2
@qiqi521love
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❤1
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❤1
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❤4
Showing the 12 most recent of 16 posts we hold for @qiqi520lovel. 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 18 September 2026 — this entry's latest reading, not the date you are reading this.
“琪娅娜的频道” (@qiqi520lovel), 4,048 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/qiqi520lovel.
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.