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Channel
@qiusuio
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
30,386subscribers
-19,904 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
| Telegram ID | -1002241626083 |
|---|---|
| Type | Channel |
| Username | @qiusuio |
| Created | Between 1 June 2024 and 30 September 2024 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 25 September 2026 |
| Measurements held | 33 |
| Confirmed unchanged | 1 time, most recently 25 September 2026 |
| On Telegram | t.me/qiusuio |
Adult — 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 9 September 2026 and assigned it the closest of 31 fixed categories, at 58% 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 |
|---|---|---|
| 25 Sept 2026, 14:17 | 30,386 | -2,447 |
| 19 Sept 2026, 00:59 | 32,833 | -1,168 |
| 16 Sept 2026, 13:41 | 34,001 | -1,451 |
| 14 Sept 2026, 16:15 | 35,452 | -892 |
| 13 Sept 2026, 04:38 | 36,344 | -1,088 |
| 11 Sept 2026, 07:21 | 37,432 | -2,351 |
| 8 Sept 2026, 15:17 | 39,783 | -1,943 |
| 5 Sept 2026, 12:20 | 41,726 | -1,181 |
| 3 Sept 2026, 15:00 | 42,907 | -782 |
| 2 Sept 2026, 09:44 | 43,689 | -811 |
| 1 Sept 2026, 08:08 | 44,500 | +26 |
| 31 Aug 2026, 05:39 | 44,474 | -2 |
| 30 Aug 2026, 04:55 | 44,476 | -337 |
| 29 Aug 2026, 06:08 | 44,813 | -320 |
| 28 Aug 2026, 06:23 | 45,133 | -92 |
| 27 Aug 2026, 02:45 | 45,225 | -154 |
| 26 Aug 2026, 03:42 | 45,379 | -177 |
| 25 Aug 2026, 02:09 | 45,556 | -368 |
| 23 Aug 2026, 13:16 | 45,924 | -191 |
| 22 Aug 2026, 02:19 | 46,115 | first reading |
38 posts held, back to 2 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 72 pages of Telegram’s post history, 20 posts per page.
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 11 September 2026 |
|---|---|
| Posts held | 38 (2 August 2026 – 11 September 2026) |
| Views total | 16,403 |
| Reactions total | 564 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 11 Sept 2026, 21:13 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.
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.
1,318 reactions across 30 posts, in 20 distinct kinds. The most used accounts for 38.1% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 502 | 38.1% | |
| 👍 | 340 | 25.8% | |
| 🥰 | 88 | 6.68% | |
| 🔥 | 87 | 6.60% | |
| 👏 | 85 | 6.45% | |
| 😁 | 44 | 3.34% | |
| ⚡ | 33 | 2.50% | |
| 🤩 | 22 | 1.67% | |
| 🍌 | 17 | 1.29% | |
| 👻 | 16 | 1.21% | |
| 👀 | 13 | 0.986% | |
| 😍 | 12 | 0.91% | |
| 🍾 | 10 | 0.759% | |
| 🤓 | 10 | 0.759% | |
| 💋 | 9 | 0.683% | |
| 🦄 | 8 | 0.607% | |
| 💘 | 7 | 0.531% | |
| 💯 | 6 | 0.455% | |
| 😎 | 6 | 0.455% | |
| 🌭 | 3 | 0.228% |
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 32 of the 38 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 1,318 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 38 most recent posts we hold, published 2 August 2026 to 11 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.
花名:#丽丽 地区:#惠州惠阳大亚湾 特点:上身黑色高领无袖修身针织连衣裙,贴身包臀,长度到大腿中部,完全遮住胸部。双手自然放在腿上,左手腕红绳,右手腕黑色发圈。 点击下方评论区查看老师资料 ⬇️ ⬇️
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花名:#银月 地区:#惠州惠阳大亚湾 特点:一位留着深棕色长直发、齐刘海的年轻东亚女性正在自拍。她面朝镜头,眼睛较大,妆容淡,嘴唇微张。上身穿着墨绿色丝绒细肩带吊带裙,领口呈浅V,面料有绒面光泽,贴合上身。右手轻轻搭在左肩附近,指甲是浅色美甲。 点击下方评论区查看老师资料 ⬇️ ⬇️
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花名:#小丽 地区:#惠州惠阳大亚湾 特点:夜色里,女生坐在马路牙子上,双腿并着,手里还捏着那块黄壳手机。头发放下了,刘海平齐。上身是宽松米色针织衫,下身是黑色直筒裤,脚上还是那双棕色乐福鞋,外面加了深色短袜。路灯从侧面打过来,树和护栏都还在原来的位置。 点击下方评论区查看老师资料 ⬇️ ⬇️
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花名:#柠檬 地区:#惠州惠阳大亚湾 特点:头发微卷,眼睛弯着,却不是完全放开的笑。比着耶,脸上画着猫,像故意把自己弄得轻一点,骨子里仍清楚。坐在乱被子里,看起来好接近,其实还是隔着一层。 点击下方评论区查看老师资料 ⬇️ ⬇️
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花名:#CC 地区:#惠州惠阳大亚湾 特点:长发,蓝毛绒发箍歪戴着,眼睛又圆又静,唇色淡得像刚喝过水。 点击下方评论区查看老师资料 ⬇️ ⬇️
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花名:#小花猫 地区:#惠州惠阳大亚湾 点击下方评论区查看老师资料 ⬇️ ⬇️
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花名:#小甜 地区:#惠州惠阳淡水 点击下方评论区查看老师资料 ⬇️ ⬇️
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花名:#安逸 地区:#惠州惠阳大亚湾 点击下方评论区查看老师资料 ⬇️ ⬇️
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艺名:#小婷 位置:#惠州惠阳大亚湾 人照: 8分 年龄25 资料:胸B 高163 水费: 500p 1000pp 私聊:@xiaoting985 机器人:@Xiaoting98555_bot 频道:https://t.me/Xiaoting123459 服务: 鸳鸯戏水(陪洗)🐍吻 69 制服丝袜 交流群: https://t.me/+4fsonAbER3YwNzhh
❤12🥰5👀3👍2
Showing the 12 most recent of 38 posts we hold for @qiusuio. 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.
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 25 September 2026 — this entry's latest reading, not the date you are reading this.
“惠州爽炮” (@qiusuio), 30,386 subscribers as measured 25 September 2026. Telegram Register, tgregister.com/channel/qiusuio.
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.