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Channel
📢利币供需20U💥限时10u一条
@xqlql
On this record: Topic · Growth · Engagement · Posts · Citations · Cite this entry
113,294subscribers
-3,402 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 100,000–316,228.
Register entry
| Telegram ID | -1001913217555 |
|---|---|
| Type | Channel |
| Usernames | @lbgx1 @xqlql |
| Created | Between 1 April 2023 and 31 October 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 12 August 2026 |
| Measurements held | 14 |
| Confirmed unchanged | 1 time, most recently 12 August 2026 |
| On Telegram | t.me/xqlql |
Topic
Gambling & betting — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 9 August 2026 and assigned it the closest of 31 fixed categories, at 100% 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 |
|---|---|---|
| 12 Aug 2026, 20:23 | 113,294 | -31 |
| 12 Aug 2026, 18:03 | 113,325 | -396 |
| 11 Aug 2026, 19:43 | 113,721 | -20 |
| 11 Aug 2026, 18:15 | 113,741 | -1,002 |
| 10 Aug 2026, 17:41 | 114,743 | -47 |
| 10 Aug 2026, 16:41 | 114,790 | -451 |
| 9 Aug 2026, 20:12 | 115,241 | no change |
| 9 Aug 2026, 19:32 | 115,241 | -427 |
| 8 Aug 2026, 21:15 | 115,668 | -9 |
| 8 Aug 2026, 20:21 | 115,677 | -850 |
| 7 Aug 2026, 19:54 | 116,527 | no change |
| 7 Aug 2026, 19:04 | 116,527 | -169 |
| 7 Aug 2026, 14:15 | 116,696 | no change |
| 7 Aug 2026, 14:05 | 116,696 | first reading |
Engagement
211 posts held, back to 7 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 17 pagesof Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 0.381%
- avg views ÷ 113,294 subscribers
- Avg views / post
- 432
- 211 posts measured
- Reaction rate
- —
- this channel exposes no reaction counts
- Posts in window
- 211
- of 211 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 12 August 2026 |
|---|---|
| Posts held | 211 (7 August 2026 – 12 August 2026) |
| Views total | 91,144 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 12 Aug 2026, 18:25 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.
Recent posts
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😀王炸合集!😊问鼎😀赏金❤️多多 ⚡新时代 💰以下平台充值1️⃣0️⃣0️⃣送1️⃣0️⃣0️⃣ 🀄️0️⃣0️⃣送2️⃣8️⃣8️⃣💲 1️⃣0️⃣0️⃣0️⃣送🀄️8️⃣8️⃣ 🤓🙂🤓😇😙😎😚🙂 🛒捕鱼 电子 加拿大 快三 百家乐 六合彩等等 新用户一个月可以保证不输钱彩金客服 @weilai08 🔥不想玩的可以邀请好友充值500返700人头费最高可反1500一个, 100个就是15w🔥 😊问鼎娱乐: 12jdw.top (放水首选问鼎) ❤️多多28: 48dnd.top (大水多多) ⚡新时代娱乐: xnf39.top (新台推荐) 😄壹号娱乐: yihaoyule (推荐) 🫥汇赢国际: hv56w.top (新台推荐) 🔥你不干不要叫我不要干不干你怎么抽中华住酒店!打不开关vpn进入浏览器打开注册下载 官方大水反馈群组: https://t.me/+wRf_hl8350EyZTNl 闲鱼上号群: http…
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👍👍👍👍全网上压1️⃣0️⃣0️⃣0️⃣0️⃣👌 项目价格:📱快手评论1️⃣0️⃣0️⃣元 📱项目名称:📱快手评论1️⃣0️⃣0️⃣元 📱按照要求来即可(简单不封号) ✅📱简单粗暴不摁头 小白随便做 ✅📱规则简单无套路(无粉丝要求,只要可以评论就行) ♥️盘口直招做单的团队 量大直接包养 团队散户都可以来! 单价高,封号几率低 新模式留存高(简单好做不封号,不嗯头 公群:https://t.me/+O7q6npOpchIwMmQ1 公群:https://t.me/+O7q6npOpchIwMmQ1 公群:https://t.me/+O7q6npOpchIwMmQ1
Showing the 12 most recent of 211 posts we hold for @xqlql. 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 — 700,415 of 1,151,006entries 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.
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 12 August 2026 — this entry's latest reading, not the date you are reading this.
“📢利币供需20U💥限时10u一条” (@xqlql), 113,294 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/xqlql.
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.