西港半年抓650名涉毒人员,其中90名中国人 据西港宪兵8月17日通报,今年上半年共侦破98起毒品案件,抓获650名涉案人员,其中包括533名柬埔寨人、90名中国人、18名越南人,以及印尼、马来西亚、印度、尼泊尔、法国和缅甸籍人员。

Channel
东南亚情报局
@huarenjpz
On this record: Growth · Engagement · What this channel posts · Posts · Citations · Cite this entry
23,295subscribers
+21,086 since we began measuring on 9 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
Register entry
| Telegram ID | -1002520338392 |
|---|---|
| Type | Channel |
| Username | @huarenjpz |
| Description | 揭露黑暗,传递情报,闻世间之正事,明做人之德行,模仿皆多,认准唯一情报局 投稿 @Priyankaa1888 商务合作 @xiaoye990 万能导航 @TGN01 |
| Created | Between 1 March 2025 and 31 July 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 9 August 2026 |
| Last confirmed live | 16 August 2026 |
| Measurements held | 6 |
| Confirmed unchanged | 1 time, most recently 16 August 2026 |
| On Telegram | t.me/huarenjpz |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 16 Aug 2026, 16:14 | 23,295 | -68 |
| 14 Aug 2026, 23:58 | 23,363 | -25 |
| 13 Aug 2026, 17:56 | 23,388 | -33 |
| 12 Aug 2026, 20:03 | 23,421 | +21,273 |
| 9 Aug 2026, 22:11 | 2,148 | -61 |
| 9 Aug 2026, 02:01 | 2,209 | first reading |
Engagement
78 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 10 pagesof Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 2.86%
- avg views ÷ 23,295 subscribers
- Avg views / post
- 666
- 78 posts measured
- Reaction rate
- —
- this channel exposes no reaction counts
- Posts in window
- 78
- of 78 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 17 August 2026 |
|---|---|
| Posts held | 78 (7 August 2026 – 17 August 2026) |
| Views total | 51,968 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 17 Aug 2026, 14:35 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
- ≈14,600
- Videos
- ≈2,990
- Links
- ≈4,430
Lifetime counters from Telegram’s own channel header, read 17 August 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
- 5m 02s
- Average length
- 30s
Measured directly from 10 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.
Recent posts
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近期出门的兄弟都顺利吗? #网友投稿:我兄弟从上海出来被卡关了,手机被海关拿走十多分钟也不知道拿去干嘛了,后面安排走广州那边凌晨5点的机票,走的自助也有人被拦下来,七八个自助通道,两边站了十多个警察,有没有近期出来的,说说情况。
#马来西亚资讯:现在绑架不一定先把人拖上车,可能先从Telegram、微信陪你聊天 72岁新加坡老翁与33岁女子被骗到外州,最后竟一起困在吉打!最让人背脊发凉的,不是“绑架”两个字,而是受害者一开始根本不知道,手机另一头正在等他的,可能不是朋友、工作机会或一趟旅行,而是一场早就设计好的局。 警方近日侦破一宗跨州绑架案,一名72岁新加坡男子和一名33岁中国女子,彼此原本完全不认识,却先后被不同方式引到马来西亚其他州属,最终被关在同一个地点。两人直到8月7日,才在吉打亚罗士打获救。 其中,新加坡老翁在7月26日离家,原本准备前往槟城,之后突然失联。直到8月4日,他才向家人传出语音讯息,表示自己遭人囚禁,对方更开出高达S$100万、约RM310万的赎金要求。 警方透露,家属在救人前已经支付了部分赎金。 另一名33岁女子的经历,则更像很多人平时最容易放下戒心的“网友邀约”。她据称先是在微信认识一名外籍女子,对方邀请她到槟城见另…
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Showing the 12 most recent of 78 posts we hold for @huarenjpz. 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 — 1,365,080 of 1,481,502entries 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 16 August 2026 — this entry's latest reading, not the date you are reading this.
“东南亚情报局” (@huarenjpz), 23,295 subscribers as measured 16 August 2026. Telegram Register, tgregister.com/channel/huarenjpz.
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.