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Channel
【全网每日电讯】曝光
@QWmrdxBG
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
20,362subscribers
-75,601 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
Register entry
| Telegram ID | -1001566614343 |
|---|---|
| Type | Channel |
| Username | @QWmrdxBG |
| Created | Between 1 August 2021 and 28 February 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 18 September 2026 |
| Measurements held | 33 |
| Confirmed unchanged | 1 time, most recently 18 September 2026 |
| On Telegram | t.me/QWmrdxBG |
Topic
Gambling & betting — 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 10 September 2026 and assigned it the closest of 31 fixed categories, at 99% 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 |
|---|---|---|
| 18 Sept 2026, 12:18 | 20,362 | -671 |
| 16 Sept 2026, 06:58 | 21,033 | -923 |
| 14 Sept 2026, 11:17 | 21,956 | -291 |
| 12 Sept 2026, 19:02 | 22,247 | -783 |
| 10 Sept 2026, 18:39 | 23,030 | -632 |
| 7 Sept 2026, 19:39 | 23,662 | -3,298 |
| 4 Sept 2026, 20:57 | 26,960 | -493 |
| 3 Sept 2026, 06:19 | 27,453 | -202 |
| 2 Sept 2026, 03:13 | 27,655 | -1,142 |
| 1 Sept 2026, 01:18 | 28,797 | -610 |
| 31 Aug 2026, 03:35 | 29,407 | -288 |
| 30 Aug 2026, 07:03 | 29,695 | -468 |
| 29 Aug 2026, 03:43 | 30,163 | -608 |
| 28 Aug 2026, 01:05 | 30,771 | -875 |
| 26 Aug 2026, 21:39 | 31,646 | -922 |
| 25 Aug 2026, 20:06 | 32,568 | -440 |
| 24 Aug 2026, 19:43 | 33,008 | -437 |
| 23 Aug 2026, 06:38 | 33,445 | -595 |
| 21 Aug 2026, 15:45 | 34,040 | -3,554 |
| 20 Aug 2026, 11:22 | 37,594 | first reading |
Engagement
299 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 58 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 24.8%
- avg views ÷ 20,362 subscribers
- Avg views / post
- 5,050
- 88 posts measured
- Reaction rate
- 0.187%
- reactions ÷ views · ER floor
- Posts in window
- 88
- of 299 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. It is computed over the 67 of 88 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 4 September 2026 |
|---|---|
| Posts held | 299 (7 August 2026 – 4 September 2026) |
| Views total | 444,166 |
| Reactions total | 666 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 4 Sept 2026, 12:38 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
- Video runtime
- 43s
- Average length
- 3s
Measured directly from 14 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
2,321 reactions across 234 posts, in 7 distinct kinds. The most used accounts for 20.5% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 475 | 20.5% | |
| 🔥 | 436 | 18.8% | |
| 🥰 | 423 | 18.2% | |
| 👎 | 384 | 16.5% | |
| ❤ | 362 | 15.6% | |
| 👏 | 240 | 10.3% | |
| 🎉 | 1 | 0.043% |
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 234 of the 299 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 2,321 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 299 most recent posts we hold, published 7 August 2026 to 4 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
刷到一个频道后,通常还想找更多同类入口。 SOSO 精选频道会随机推荐一批已收录频道。 适合继续发现相近内容。
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干拉省向网络赌博“亮剑”!郭宗仁省长限5家赌场9月底前清退网赌业务 9月3日下午,干拉省省长郭宗仁在省政府召集相关部门及5家赌场代表召开专题会议。会议核心议题明确:严厉打击非法网络赌博,维护治安秩序与社会稳定。 郭宗仁在会上明确要求涉事赌场在9月底前彻底停止网络赌博相关活动,10月1日起将直接检查并依法处置,不再给予任何宽限。今后干拉省赌场仅限线下实体经营,严禁网络下注业务。 此次行动是干拉省持续高压打击网赌电诈的延续。此前,郭宗仁已多次召集互联网服务供应商会议,要求配合执法部门打击网络诈骗。省长亦通过个人社交媒体公开呼吁民众举报线索。此次对5家赌场的“最后通牒”,标志着干拉省向“无网络赌博示范省”目标迈出关键一步。 🥇 广告投放/商务合作 ➡️ 点击订阅【全网每日电讯】曝光频道 🔗 https://t.me/QWmrdxBG
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僵尸电子烟”藏身曼谷豪宅!依托咪酯伪装时尚电子烟,2名中国男子与1名泰国女子被当场抓获 K型电子烟”或称“僵尸电子烟”,实则是在电子烟烟油中混入医用麻醉剂依托咪酯的新型毒品。吸食后可致嗜睡、意识障碍、呼吸抑制甚至死亡。不法分子利用电子烟操作方便、迷惑性强的特点,将毒品伪装成时尚消费品,尤其容易引诱青少年。 9月1日,泰国191公路巡警在曼谷甘纳耀区一处豪华住宅内,当场抓获27岁泰国女子詹亚功、37岁中国籍男子YU某及34岁中国籍男子GUAN某,现场查获839个含依托咪酯烟弹、988台电子烟设备及冰毒等毒品,总价值逾250万泰铢。 经查,该团伙利用豪宅作为分销和储存据点,通过LINE应用程序接单、快递送货的方式秘密销售,分工明确。此次行动从线人诱购到锁定窝点、人赃并获,完整斩断了一条依托豪宅掩护的新型毒品分销链条。 依托咪酯类“僵尸电子烟”属于新型毒品,迷惑性强、危害巨大。泰国警方持续严打此类犯罪,境外人员也须严守当地法律,切勿…
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Showing the 12 most recent of 299 posts we hold for @QWmrdxBG. 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.
Mentions
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 18 September 2026 — this entry's latest reading, not the date you are reading this.
“【全网每日电讯】曝光” (@QWmrdxBG), 20,362 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/QWmrdxBG.
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.