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Channel
全球新闻老挝大事件
@HDLW_News
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Posts recorded as deleted · Citations · Cite this entry
53,166subscribers
+113 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 31,623–100,000.
Register entry
| Telegram ID | -1003421538828 |
|---|---|
| Type | Channel |
| Username | @HDLW_News |
| Description | 🇱🇦 聚焦金三角时政民生,及时掌握特区重要动态 💬 特区交流: @HUIDU_LW 📍 特区导航: @HDLW_Nav 📰 老挝新闻: @HDLW_News 💼 商务合作/推广曝光: @DFQVIP88 📢 商家入驻/信息发布: @HDTereizz 🌐 灰度生态: @HUIDU_ECO 🛡 灰度担保: @HDdian 🚨 防骗提醒 特区人员流动较大,请警惕评论区主动私聊的陌生账号。本频道官方人员不会以任何理由私下要求转账、汇款或提供账户信息。 |
| Created | Between 1 November 2025 and 31 March 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 6 November 2026 |
| Measurements held | 62 |
| Confirmed unchanged | 1 time, most recently 6 November 2026 |
| On Telegram | t.me/HDLW_News |
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 9 September 2026 and assigned it the closest of 31 fixed categories, at 72% 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 the other topics.
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 6 Nov 2026, 16:00 | 53,166 | -25 |
| 5 Nov 2026, 18:58 | 53,191 | -71 |
| 4 Nov 2026, 17:39 | 53,262 | -19 |
| 3 Nov 2026, 16:51 | 53,281 | +83 |
| 2 Nov 2026, 15:15 | 53,198 | +21 |
| 1 Nov 2026, 15:41 | 53,177 | -114 |
| 31 Oct 2026, 12:57 | 53,291 | -143 |
| 30 Oct 2026, 10:09 | 53,434 | -169 |
| 29 Oct 2026, 12:36 | 53,603 | -122 |
| 28 Oct 2026, 14:49 | 53,725 | -170 |
| 27 Oct 2026, 11:47 | 53,895 | +9,946 |
| 26 Oct 2026, 10:36 | 43,949 | -159 |
| 25 Oct 2026, 09:56 | 44,108 | -70 |
| 24 Oct 2026, 12:45 | 44,178 | -155 |
| 23 Oct 2026, 15:17 | 44,333 | -168 |
| 22 Oct 2026, 11:57 | 44,501 | -176 |
| 21 Oct 2026, 05:49 | 44,677 | -208 |
| 20 Oct 2026, 01:30 | 44,885 | -173 |
| 19 Oct 2026, 04:48 | 45,058 | -167 |
| 18 Oct 2026, 06:48 | 45,225 | first reading |
Engagement
2,901 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 187 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 2.08%
- avg views ÷ 53,166 subscribers
- Avg views / post
- 1,110
- 972 posts measured
- Reaction rate
- 0.057%
- reactions ÷ views · ER floor
- Posts in window
- 972
- of 2,901 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 12 of 972 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 6 November 2026 |
|---|---|
| Posts held | 2,901 (7 August 2026 – 6 November 2026) |
| Views total | 1,076,440 |
| Reactions total | 7 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 6 Nov 2026, 23:51 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
- Photos
- ≈5,340
- Videos
- ≈1,380
- Links
- ≈3,200
Lifetime counters from Telegram’s own channel header, read 6 November 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.
- Video runtime
- 5h 04m
- Average length
- 2m 02s
Measured directly from 150 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
8 reactions across 8 posts, in 1 kind.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 8 | 100.0% |
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 1,000 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 8 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 1,000 most recent posts we hold (the sample is capped at 1,000), published 7 October 2026 to 6 November 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
Telegram’s own ‘edited’ marker: 99 of 972 posts held from the last 30 days (10.2%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).
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Showing the 12 most recent of 2,901 posts we hold for @HDLW_News. 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.
Posts recorded as deleted after publishing
We recorded 1 post on @HDLW_News as deleted — posts this register held that were missing from the channel’s public page on two separate reads, taken from different network addresses at least an hour apart.
A deletion is not wrongdoing. This register can see that a post it held is no longer on the channel’s public page, and when — not why. Expired ad placements, reposts, rotating links and corrections all look the same. This is a count of recorded detections, not an exact total: it misses deletions we could not see, because only a post we held and later re-read inside the page can be seen to go, and it may include a small number of wrong records. How this is measured.
- First seen missing
- 10 August 2026
- Most recent seen missing
- 10 August 2026
- Median time before seen missing
- 6.4 hours
- Seen missing in the last 30 days
- 0
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 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.
@UU9_COM · 7,267336 posts凯旋娱乐 官方频道
@kxggg · 6,086293 posts6G全球丨官方爆奖俱乐部
@ceo6g · 2,072239 posts特区陈浩南房产|换汇
@chenhaonan31092190 · 153192 postsW国际官方频道 @W123
@WCCGF · 3,397127 postsATM娱乐服务中心
@ATMYL188 · 704101 postsUU8.COM国际官方频道
@uu8com · 12,136100 posts9U国际丨官方频道
@www9u · 4,12896 posts铂莱官方频道@blyl
@blyl · 89592 posts金乐娱乐官方频道 @JLYL
@jinle · 8,10892 posts体育交流 | 每日红单
@FootballTea888 · 20,42571 posts暴富暴奖收米圈 📢
@uu9gaming · 8,58271 posts78.COM-官方频道@DF78
@tg78com · 29,39765 posts东南亚吹水群·四海为家
@eshwj · 2,36260 postsMK体育
@MK888bot · 10,26360 postsMK体育—飞投版: MK.BET
@MKFT777 · 2,48660 posts东南亚资讯|聚焦
@rdsjo · 15,15060 posts鸡腿久久官方频道
@JT99GF · 8,88841 postsVIP 稳单 | 体育竞猜
@shijiebei8qun · 26,64127 posts8G.com
@tg8g · 17,56627 posts东南亚大事件-头条新闻
@dny377 · 108,5141 post老挝金三角特区商家导航
@HDLW_Nav · 52,4061 post老挝金三角特区交流群🇱🇦
@HUIDU_LW · 56,7311 post东南亚大事件 东南亚新闻 柬埔寨新闻 马达加斯加
@PP430 · 187,7111 post
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 6 November 2026 — this entry's latest reading, not the date you are reading this.
“全球新闻老挝大事件” (@HDLW_News), 53,166 subscribers as measured 6 November 2026. Telegram Register, tgregister.com/channel/HDLW_News.
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.