#柬埔寨新闻:西港宪兵破获网赌电诈案 4名中国籍嫌疑人被移送法办 今天上午,西港省宪兵司令兴文迪指派专业部队,将涉嫌网络诈骗的4名中国籍男子及相关物证移送西港省初级法院依法处理。 据宪兵披露,4名涉案嫌疑人分别为:吴泰欣(WU TAIXIN,31岁)、黄厚辉(HUANG HOUHUI,35岁)、田耀(TIAN YAO,26岁)及陈厚雷(CHEN HOULEI,36岁)。 宪兵在此前的抓捕行动中,共缴获笔记本电脑8台、手机8部、护照3本、外国人在柬工作证6张、中国身份证2张、中国驾照1本、港澳通行证1张、银行卡1张以及电子烟等一批作案与涉案工具。

Channel
华人新闻事件
@dsj5550
On this record: Growth · Engagement · What this channel posts · Posts · Citations · Cite this entry
187subscribers
+67 since we began measuring on 16 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
Register entry
| Telegram ID | -1004422049511 |
|---|---|
| Type | Channel |
| Username | @dsj5550 |
| Created | 16 August 2026 — measured — dated from the channel’s first post |
| First recorded | 16 August 2026 |
| Last confirmed live | 25 August 2026 |
| Measurements held | 3 |
| Confirmed unchanged | 1 time, most recently 25 August 2026 |
| On Telegram | t.me/dsj5550 |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 25 Aug 2026, 01:24 | 187 | -69 |
| 17 Aug 2026, 19:54 | 256 | +136 |
| 16 Aug 2026, 22:01 | 120 | first reading |
Engagement
8 posts held, back to 16 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 1 pageof Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 22.6%
- avg views ÷ 187 subscribers
- Avg views / post
- 42.3
- 6 posts measured
- Reaction rate
- —
- this channel exposes no reaction counts
- Posts in window
- 8
- of 8 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 16 August 2026 |
|---|---|
| Posts held | 8 (16 August 2026 – 16 August 2026) |
| Views total | 254 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 16 Aug 2026, 22:01 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
- 35s
- Average length
- 12s
Measured directly from 3 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
#马来西亚新闻:新山S CLUB娱乐会所凌晨遭执法人员突击检查 8月16日凌晨马来西亚柔佛州新山(Johor Bahru)士姑来(Skudai)的 S CLUB 双囍門 娱乐会所被突击检查了。具体情况尚未得知。
#老挝网友投稿:老挝万象 三江悦来酒店被突击检查,有很多人被绑上了扎带,现场什么都查,有问题就被带走,酒店大厅人都站满了。
#柬埔寨资讯:拜林省监狱曝管理丑闻:疑有囚犯欺凌他人、涉DU交易及违规外出 近日,一段据称来自柬埔寨拜林省监狱内部的偷拍视频在网络流传,引发外界对监狱管理问题的关注。 视频内容显示,监狱内部分被称为“大佬”的囚犯疑似对其他在押人员实施暴力行为。相关画面曝光后,有关方面质疑监狱内部是否存在监管失效、违规操作等问题。 据视频发布者称,这些囚犯不仅涉嫌在监狱内进行DU品交易,还能够使用手机与外界保持联系,从事各种非法活动。更令人关注的是,视频中还指称部分囚犯可能通过收买狱警获得特殊待遇,甚至在夜间违规离开监狱活动。 如果相关情况属实,将反映出拜林省监狱在人员管理、纪律执行以及安全监管方面可能存在严重漏洞。 目前,相关视频的真实性以及涉及人员身份尚未得到官方正式确认。当地执法部门是否已经介入调查、是否存在狱警违规包庇行为,仍有待进一步消息公布。 PS:天天辟谣,结果里面简直比外面还好🤣
#马来西亚新闻:吉隆坡“黑警讹钱”曝光 穿着制服,不是为了执法,而是盯着外国人钱包下手?网传个别执法人员涉嫌借着查证件、盘问、临检等名义,故意刁难、施压恐吓,最后把话题绕到一个字——钱。不给钱,就继续耗;不给钱,就不断吓;不给钱,就想办法给你“找问题”。 如果这些爆料最终属实,那就不是普通执法争议,而是有人把警察身份当成了赚钱工具,把执法权变成了“收费权”。 人在海外碰到这种情况,最忌讳当场硬碰硬。记住警员编号、车牌、时间、地点,能录音录像就留证,聊天记录、转账记录全部保存。该投诉投诉,该举报举报。警服是用来保护人的,不是用来讹钱的。执法权更不是谁拿来发财的筹码。
#老挝网友投稿:老挝万象 三江悦来酒店被突击检查,有很多人被绑上了扎带,现场什么都查,有问题就被带走,酒店大厅人都站满了。
Channel name was changed to «华人大事件»
Channel created
Showing the 8 most recent of 8 posts we hold for @dsj5550. 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 — 1,097,524 of 1,628,524entries 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 2 registered channels — 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.
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 25 August 2026 — this entry's latest reading, not the date you are reading this.
“华人新闻事件” (@dsj5550), 187 subscribers as measured 25 August 2026. Telegram Register, tgregister.com/channel/dsj5550.
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.