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Channel

全网曝光|东南亚大事件

@dnysj

On this record: Topic · Observations · Also posting the same content · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Telegram's recommendations · Cite this entry

201,277subscribers

+66,729 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-1001786996398
TypeChannel
Username@dnysj
Description#东南亚 #柬埔寨 #菲律宾 #缅甸 #泰国 东南亚大事件频道专注于东南亚华人最新动态资讯,生活故事分享,海外华人求助,让你看尽海外华人大小事。 其他的东南亚大事件频道都是模仿的,一直被模仿从未被超越。 投稿、合作: @feihang
CreatedBetween 1 December 2021 and 30 April 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live27 September 2026
Measurements held33
Confirmed unchanged1 time, most recently 27 September 2026
On Telegramt.me/dnysj

Topic

National news — 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 54% 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.

Observations

These are measurements, not verdicts. Each one below states something we counted, alongside the evidence it was counted from, so you can check it rather than take it. None of them is graded: every observation this register holds is recorded at severity 0, because the precision of the detectors behind them has not been measured yet, and a rating we cannot support is worse than none. Read each as a fact about the data, not as a judgement about the channel. How we measure.

Content that also appears on other registered channels

Posts published here appear word for word on 1 other registered channel. The matching is on the text itself, not on Telegram’s forward marker, so it finds a copy whether or not it was labelled as one.

Matching posts — open both and compare (6 of the pairs behind the counts below)
Posted firstThenOverlapGap
@dnysj/89796 · this entry7 Aug 2026, 14:45 UTC@hyxw2/625637 Aug 2026, 14:45 UTC1.00under a minute
@dnysj/89801 · this entry7 Aug 2026, 15:07 UTC@hyxw2/625687 Aug 2026, 15:07 UTC1.00under a minute
@dnysj/89802 · this entry7 Aug 2026, 15:15 UTC@hyxw2/625697 Aug 2026, 15:15 UTC1.00under a minute
@dnysj/89804 · this entry7 Aug 2026, 15:23 UTC@hyxw2/625717 Aug 2026, 15:23 UTC1.00under a minute
@dnysj/89807 · this entry7 Aug 2026, 15:48 UTC@hyxw2/625747 Aug 2026, 15:48 UTC1.00under a minute
@dnysj/89811 · this entry7 Aug 2026, 16:45 UTC@hyxw2/625787 Aug 2026, 16:45 UTC1.00under a minute
Every channel this entry shares post bodies with
ChannelMatching postsText overlapTypical gapPublished first
@hyxw217 (6/8 hand-verifiable sample passed)1.00under a minutethis entry (17–0)

Text overlap is the Jaccard coefficient over the set of distinct three-word phrases in the two bodies: 1.00 is identical wording, and the threshold for counting a pair at all is 0.70. Candidates are generated by simhash LSH (4 x 16-bit bands, exact Hamming <= 3) verified against the bodies with Jaccard over the SET of distinct 3-word shingles. Published first counts which side of each matching pair carries the earlier timestamp — in this corpus, which is the limitation directly below.

What this cannot establish

MEASURED, DOMINANT ERROR SOURCE: a post ingested before 2026-08-06 may have carried a forward header that was not recorded. A 45-pair hand-check against live t.me pages found 14 (31%) where the live page shows a forward header naming the other channel and the database has none, plus 4 more (9%) naming a third party. The text match itself was wrong 0 times out of 45. Read attribution_capture.items_in_trusted_window before treating the unattributed count as a claim.

Telegram lets a channel forward a post with a header naming the source, and we only began reliably recording that header on 2026-08-06. None of the 0 matches recorded here fall after that date, so for this entry we cannot say whether any of them carried a credit. The duplication is measured; the absence of attribution is not.

“Published first” means first in this corpus. We hold 17 comparable posts for this entry, running 7 August 2026 to 7 August 2026. A channel we have read one page deep will look younger than a neighbour we have read in full, and the order would flip with no change in the underlying facts.

The detector’s own notes on this observation, as it recorded them. Names in this_style are fields of the underlying evidence record, which the plain-English paragraphs above read out for this entry.

  • Verbatim republication has three causes and the text separates only two: a clone/mirror, unattributed copy-paste, or BOTH channels copying a common third source that neither attributes. The spread filter (content held by at most 8 channels) reduces the third and does not remove it.
  • 'Earliest' means earliest IN THIS CORPUS. A channel ingested one page deep will look younger than a neighbour ingested in full; corpus_coverage above is there to be checked before the direction is believed.
  • shared_verified_est extrapolates the sampled pass rate over the full narrow match count; sampled/passed are the numbers actually measured.
  • Absence of a forward header is not proof of intent: Telegram lets a channel disable forward attribution, and a credit written in the body is not parsed as attribution here (mention_edge_either_way above is the closest available signal).

Across the whole group of 2, the earliest publisher we hold is @dnysj — which is this entry. That is a statement about our reading window, not a claim of authorship.

Recorded under the key clone_source, last confirmed 7 August 2026. An observation that a later pass no longer finds is cleared, and a cleared observation is removed from this page rather than being shown struck through — we do not keep publishing a claim we have withdrawn. Dispute an observation.

Also posting the same content

This channel’s posts match, word for word or near enough, posts on 1 other registered channel, found by comparing text fingerprints across every channel on the register. That matching has been checked by hand against the live Telegram pages and found reliable — 0 wrong of 45 pairs re-read.

Which channel, if either, published first is deliberately not shown. The same hand-check found that reading wrong 18 of 45 times — 60%, no better than a coin flip — because it depends on how deep our own crawl happened to reach into each channel’s history, not on when the content was actually first posted. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Word-for-word matching has several ordinary explanations besides copying — a channel mirroring itself, an unattributed repost, or two channels independently repeating the same wire story — and this measurement cannot tell those apart. How this is measured.

Growth

132,645212,162172,403.57 August 2026 — 134,548 subscribers7 August 2026 — 134,530 subscribers8 August 2026 — 134,303 subscribers9 August 2026 — 133,925 subscribers10 August 2026 — 133,626 subscribers11 August 2026 — 133,402 subscribers12 August 2026 — 133,173 subscribers14 August 2026 — 132,645 subscribers15 August 2026 — 178,766 subscribers16 August 2026 — 212,162 subscribers17 August 2026 — 211,750 subscribers18 August 2026 — 211,203 subscribers19 August 2026 — 210,161 subscribers20 August 2026 — 209,642 subscribers22 August 2026 — 209,168 subscribers23 August 2026 — 208,685 subscribers25 August 2026 — 208,343 subscribers26 August 2026 — 208,018 subscribers27 August 2026 — 207,856 subscribers28 August 2026 — 207,721 subscribers29 August 2026 — 207,507 subscribers30 August 2026 — 207,300 subscribers31 August 2026 — 207,039 subscribers1 September 2026 — 206,772 subscribers2 September 2026 — 206,495 subscribers3 September 2026 — 206,135 subscribers5 September 2026 — 201,297 subscribers9 September 2026 — 205,768 subscribers11 September 2026 — 205,014 subscribers13 September 2026 — 204,519 subscribers15 September 2026 — 202,921 subscribers17 September 2026 — 202,577 subscribers27 September 2026 — 201,277 subscribers201,2777 August 202627 September 2026
33 measurements spanning 51 days, net +66,729. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between — snapshots are recorded only when a count changes, so gaps mean “no change observed”, never “interpolated”. The vertical axis spans 120,717–224,090 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 33
Measured (UTC)SubscribersChange
27 Sept 2026, 05:39201,277-1,300
17 Sept 2026, 12:57202,577-344
15 Sept 2026, 09:39202,921-1,598
13 Sept 2026, 17:38204,519-495
11 Sept 2026, 20:38205,014-754
9 Sept 2026, 06:59205,768+4,471
5 Sept 2026, 20:59201,297-4,838
3 Sept 2026, 17:57206,135-360
2 Sept 2026, 08:24206,495-277
1 Sept 2026, 08:17206,772-267
31 Aug 2026, 10:38207,039-261
30 Aug 2026, 12:15207,300-207
29 Aug 2026, 08:53207,507-214
28 Aug 2026, 07:16207,721-135
27 Aug 2026, 04:55207,856-162
26 Aug 2026, 02:33208,018-325
25 Aug 2026, 01:52208,343-342
23 Aug 2026, 17:16208,685-483
22 Aug 2026, 06:07209,168-474
20 Aug 2026, 18:46209,642first reading

Engagement

1,375 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 105 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
1.79%
avg views ÷ 201,277 subscribers
Avg views / post
3,610
778 posts measured
Reaction rate
0.042%
reactions ÷ views · ER floor
Posts in window
778
of 1,375 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 381 of 778 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 27 September 2026
Posts held1,375 (7 August 2026 – 27 September 2026)
Views total2,807,522
Reactions total475
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken27 Sept 2026, 08:16 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
≈69,200
Videos
≈11,200
Links
≈34,700

Lifetime counters from Telegram’s own channel header, read 27 September 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
3h 18m
Average length
49s

Measured directly from 242 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

481 reactions across 383 posts, in 72 distinct kinds. The most used accounts for 8.73% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍428.73%
🎉153.12%
❤‍🔥112.29%
💯102.08%
🙈102.08%
🥱102.08%
🍓91.87%
👀91.87%
👾91.87%
🤷‍♀91.87%
🥰91.87%
🦄91.87%
⚡81.66%
🆒81.66%
🌚81.66%
🎃81.66%
🐳81.66%
💩81.66%
🔥81.66%
🖕81.66%
52 further kinds26555.1%

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 388 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 481 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 20 August 2026 to 27 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

27 Sept 2026, 08:09 UTC5 views2 reactionsread 27 September 2026
Photo

#网友爆料:柬埔寨/磅湛7号园区/三期三号地/三楼黑公司!2025年 大老板:“欢啊”是福建省泉州市安溪县湖头镇福什么村?你们自己知道! 二老板:“毕啊”(福建人福建省泉州市安溪县湖头镇什么车你们自己知道 后勤:“大七”也是泉州安溪湖头 精聊大主管:“阿峰”,福建省泉州市安溪县湖头镇福村。 园区里面食堂老板,外号叫“阿平”,小名叫“啊炮”福建省泉州市安溪县湖头镇现产贤堂。 这个公司是做美国精聊和国内色粉的,无恶不作,涉及买卖人口,打人只是家常便饭,电棍高压! 我是当时在你们公司遭受霸凌的众多受害者之一,你们知道我是谁。 我也知道你们住在马来西亚哪里,你之前,泰国的别墅也被封掉,限你们三天内出来给我一个说法,不然全部爆出来! 🔔 点击订阅华人新闻头条 ↓ 🔗 t.me/+fBZd42IBnLowYjY8 ✅ 免费投稿爆料:@feihang

☃1🥰1

27 Sept 2026, 08:03 UTC≈2,050 views2 reactionsread 27 September 2026
Photo

中行万事达卡疑遭大规模盗刷 用户紧急锁卡 9 月 26 日,多名用户在社交媒体爆料称,中行万事达卡疑似遭大规模境外盗刷。有用户半夜收到 Apple Pay 主卡失效通知,卡被锁并出现一笔巴西账单,实体卡从未带出门使用。信息泄露以英镑卡较多,也有美元卡。 疑似因发卡行发卡逻辑和万事网联鉴权存在问题导致盗刷事件发生。去年 9 月浦发银行万事达卡也发生过类似事件,同样涉及 Apple Pay 绑定卡与巴西等拉美货币。 🔔 点击订阅华人新闻头条 ↓ 🔗 t.me/+fBZd42IBnLowYjY8 ✅ 免费投稿爆料:@feihang

👾1💯1

27 Sept 2026, 07:53 UTC≈2,200 views2 reactionsread 27 September 2026
Video

#泰国新闻 当局无力应对年年洪灾,民众只剩祈祷 曼谷因暴雨持续,多地年年反复发生内涝,但相关负责人未能采取有效防范措施,民众的不满与失望情绪不断高涨。 目前,包括拉差达披色路、明武里、Lat Krabang 及东部路段在内的超过15个地点发生内涝,车辆通行几乎瘫痪,交通仍十分困难。 “如果当局已无力防范年年遭遇的洪灾,那留给民众的就只剩祈祷了。”民众的这类批评声音,再次凸显了城市管理和排水系统的薄弱。 菩萨 : 我要是有这个能力保佑你们,我就不用被泡在水里了。😭 🔔 点击订阅华人新闻头条 ↓ 🔗 t.me/+fBZd42IBnLowYjY8 ✅ 免费投稿爆料:@feihang

💯1😍1

27 Sept 2026, 07:43 UTC≈3,880 views2 reactionsread 27 September 2026
Photo

柬埔寨监狱关押了数千名电诈人员 截至9月18日,柬埔寨共有4834人因涉及网络诈骗案件被羁押在全国23所监狱和改造中心,其中491人为柬埔寨人,4343人为外国人,涉及27个国籍。 人数最多的是柴桢省监狱,其次为西港、卜迭棉芷、第一改造中心和国公省监狱。 其中4168人已被检方正式指控,441人正在接受司法调查,194人已获判但判决尚未生效,另有31人判决已经生效。与此同时,77名国家警察因涉及电诈受到纪律处分,涉嫌刑事犯罪者则被移送法院处理。 🔔 点击订阅华人新闻头条 ↓ 🔗 t.me/+fBZd42IBnLowYjY8 ✅ 免费投稿爆料:@feihang

🍓1😍1

27 Sept 2026, 07:43 UTC≈3,880 views2 reactionsread 27 September 2026
Photo

#网友投稿:最近看到不少人在讨论:持港澳通行证进入香港后,再拿护照乘飞机前往第三国,会不会被限制出境? 其实很多争议,是把航空公司查验证件和香港出境检查混在了一起。如果是持港澳通行证合法进入香港,之后从香港机场乘国际航班前往第三国,办理值机、登机及相关手续时,航空公司通常会根据目的地要求查验护照、签证及机票; 而办理香港出境手续时,则应使用与入境记录相对应的旅行证件,也就是入境香港时使用的港澳通行证。 简单来说就是:通行证负责香港的入境、出境记录;护照主要用于国际航班及目的地入境手续。 🔔 点击订阅华人新闻头条 ↓ 🔗 t.me/+fBZd42IBnLowYjY8 ✅ 免费投稿爆料:@feihang

❤‍🔥1😡1

27 Sept 2026, 07:43 UTC≈4,000 views2 reactionsread 27 September 2026
Photo

斯里兰卡“无犯罪证明”网上申请全面瘫痪!官方紧急开通断网自救指南! 由于全网无犯罪记录证明(PCC)电脑系统全面崩溃/维护中,原本一键直达的网上申请已被迫紧急叫停! 💻❌ 为了不耽误全球申请人的移民、留学和签证黄金期,警方今天正式公布了全新 WhatsApp 官方救急热线 📞【071 8595950】!在全网瘫痪期间,所有人必须改用全手工纸质通道申请! 申请流程如下: 1. 登录斯里兰卡警方官网,进入 Digital Services → Clearance Certificate,下载申请表。 2. 填写后,将申请表连同身份证、护照和出生证明复印件一起提交至警察局。 3. 如果身份证和护照上的姓名不一致,还需要提供宣誓书(affidavit)复印件。 4. 目前人在海外的申请人,可委托近亲属代为向相关警察局提交材料。 5. 外国人申请斯里兰卡无犯罪记录证明,可通过所在国家的斯里兰卡大使馆或高级专员公署提交。 警方表示,以上…

🤮1🫡1

27 Sept 2026, 07:43 UTC≈4,000 views2 reactionsread 27 September 2026
Video

#网友投稿:昨天,西港老牌超市蓝天国际商城清仓大甩卖,进行战略性调整,也算得上一个标志性事件~~经营多年的老牌商家给西港更惨淡的未来投下了一票。 🔔 点击订阅华人新闻头条 ↓ 🔗 t.me/+fBZd42IBnLowYjY8 ✅ 免费投稿爆料:@feihang

🥱1😢1

27 Sept 2026, 07:33 UTC≈4,090 views2 reactionsread 27 September 2026
Photo

柬埔寨出手!5.3万涉诈网站被“拉黑” 柬埔寨政府这次动真格了!为了打击电信诈骗,官方已经果断封禁了超过 5.3 万个涉嫌诈骗的网站。这个数字相当惊人,说明当地反诈力度正在全面升级。 对于在柬华人及关注东南亚安全的朋友来说,这绝对是个利好消息。随着大量非法平台被切断,电诈分子的生存空间被大幅压缩,网络环境有望变得更干净、更安全。当然,咱们自己也要保持警惕,不点不明链接,不给骗子可乘之机。 🔔 点击订阅华人新闻头条 ↓ 🔗 t.me/+fBZd42IBnLowYjY8 ✅ 免费投稿爆料:@feihang

🎉1👾1

27 Sept 2026, 07:33 UTC≈4,090 views2 reactionsread 27 September 2026
Photo

#网友投稿:金三角特区金元宝3栋“华星公寓”,凌晨5点,老挝警察和中国警察联合执法,直接冲进公寓开展精准抓捕,附近的兄弟都注意一下! 更新报道:华星公寓抓走了两个人,应该是带着名单来抓人。 🔔 点击订阅华人新闻头条 ↓ 🔗 t.me/+fBZd42IBnLowYjY8 ✅ 免费投稿爆料:@feihang

🍓1🤗1

27 Sept 2026, 07:23 UTC≈4,120 views1 reactionsread 27 September 2026
Voice message

三年大专一场空,背着书包混过广东四年本科,毕业的时候才发现,学历写在纸上,生活写在脸上。 那时候以为毕业就能闯出一片天地,后来才明白,社会不会因为你背过多少书,就主动给你让出一条路。 背着书包下深圳,嘴里念着一句“男儿立志出乡关”,心里想的却很简单:先找份工作活下来,再想办法把日子过起来。 电子厂的夜班一点都不浪漫,机器响了一整夜,眼睛熬得通红,凌晨吃着一份猪脚饭,眼泪混着汗水一起往肚子里咽。 那时候我就暗暗发誓,这辈子一定要赚到一百万。 不是为了向谁证明自己有多厉害,也不是为了让谁高看我一眼,只是不想再为了几百块钱精打细算,不想家里需要钱的时候,只能说一句“我现在没有”。 后来我慢慢明白,穷的时候,连梦想都得排队,先解决温饱,再谈诗和远方。 我也想体面一点,也想走捷径,可现实从来不会因为你善良、老实、努力,就自动给你发一张人生通行证。 所以,如果有一天你看到我变得越来越现实,请别急着评价我。我不是不想要体面,我只是太想…

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27 Sept 2026, 07:23 UTC≈4,120 views1 reactionsread 27 September 2026
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金边一保安凌晨值班睡觉被撞死!肇事豪车司机想跑未果 9月27日凌晨3时许,金边市森速区沿271路与2002路交叉口发生一起交通事故。一名在银行门前睡觉的保安被一辆高速行驶的汽车撞死,肇事司机试图逃逸,被民众拦下。 据通报,肇事者驾驶一辆Jeep品牌新款汽车,车牌号为金边2BA-6658,车速较快,失控后撞上台阶,随后继续撞上正在睡觉的保安,导致其被压在车下和墙边。 事发后,肇事司机试图驾车逃离现场,但被周边民众追堵拦下。 事故发生后,金边市警察局陆路交通专业执法人员赶到现场进行测量,并扣留肇事司机及肇事车辆,带回去等候依法处理,之后再作进一步解决。 受害者遗体已由执法部门办理手续,交由家属按传统习俗办理后事。 🔔 点击订阅华人新闻头条 ↓ 🔗 t.me/+fBZd42IBnLowYjY8 ✅ 免费投稿爆料:@feihang

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27 Sept 2026, 06:53 UTC≈4,180 views2 reactionsread 27 September 2026
Video

#巴基斯坦新闻:卡拉奇CCIA已查22处非法呼叫中心,180多人被捕 据巴基斯坦媒体报道,9月26日,巴基斯坦国家网络犯罪调查局(NCCIA)卡拉奇分局副局长 Tariq Nawaz 接受 SAMAA TV 采访时表示,近期当地执法部门持续针对涉嫌非法经营的呼叫中心展开行动。 Tariq Nawaz介绍称,目前已有22处涉嫌非法经营的呼叫中心遭到查处,连同相关负责人在内,共有180多名本地及外国籍人员被捕。 NCCIA方面表示,针对卡拉奇市内其他涉嫌非法经营的呼叫中心,新一轮突击行动也将在近期展开。 值得注意的是,截至目前,公开信息尚未完整披露这180余名被捕人员的具体国籍构成、涉华人数、各案件详细地点以及涉嫌涉及的具体诈骗模式。 因此,关于被捕人员国籍及案件细节,目前暂不作进一步猜测,后续仍需等待NCCIA或当地媒体公布更多信息。 此前,NCCIA在卡拉奇也曾持续查处涉嫌网络诈骗及非法呼叫中心的案件。9月17日,执…

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Showing the 12 most recent of 1,375 posts we hold for @dnysj. 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

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.

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.

Channels Telegram recommends alongside this one

Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.

柬埔寨大事件|曝光|新闻|西港|金边|吃瓜
@v3903 · 52,159
#1
安危事件
@anwei2 · 34,725
#2
亚太新闻 | 缅甸新闻 | 东南亚新闻 | 爆料 | 吃瓜
@ygxw3 · 143,918
#3
东南亚新闻大事件曝光
@XJ_6666 · 34,433
#4
新闻资讯
@BG_BG8 · 38,746
#5
东南亚大事件曝料
@baoliaodashijian · 11,874
#6
缅甸🧠小灵通
@miaomiaowu13 · 233
#7
东南亚新闻|斑马曝光|news
@Banma_xinwen · 91,805
#8
🅥世界TG华人曝光吧吃瓜社🇨🇳
@BG576 · 432,047
#9
缅甸中文网频道消息⚡
@Gung8888 · 341 (as read 13 August 2026)
#10
🍉吃瓜中心&搞笑日常
@cggx33 · 51,582
#11
菲律宾 早贴新闻 @ZaoTiePH
@ZaoTiePH · 3,390
#12
每日缅甸曝光新闻
@Huitainangzhubian168 · 2,701
#13
东南亚爆料/吃瓜/悬赏
@dnyblcg · 1,542
#14
迪拜新闻|海豹资讯曝光|dubai news
@dibai_01 · 178,705
#15
东南亚大事件-聚焦时事 @TX100
@tx100 · 158,539
#16
东南亚 亚太妙瓦底大事件投稿爆料娱乐
@shijie9996 · 4,162
#17
东南亚新闻头条曝光🅥
@dny718 · 12,842
#18
菲律宾今日新闻|海豹资讯曝光|philippine news
@baoguang_123 · 119,228
#19
木姐新闻|缅甸新闻 |东南亚新闻 吃瓜群
@miandainchiguaqun · 30,910
#20
东南亚今日头条.
@mbhl1 · 2,505
#21
菲律宾新闻大事件
@flb608 · 104,310
#22
缅甸新闻大事件
@MB104 · 85,475
#23
东南亚华人情报站
@svip40 · 110,383
#24
🇰🇭柬埔寨新闻【转转娱乐赞助】
@jianpuzhaiFBI · 7,477
#25
东南亚曝光/大事件
@dny099 · 75,081
#26
黑产曝光@kanbtv东南亚曝光
@kanbtv · 18,723
#27
博彩曝光【菲行者】菲律宾新闻/黑台曝光/东南亚大事件❤️❤️
@feixingzhe0 · 58,575
#28
缅甸《 亚太吃瓜铺 🍉 》亚太新闻 | 曝光
@wbzd999 · 75,972
#29
曝光|新闻|大事件
@TGBG8888 · 85,601
#30
全网曝光中心
@baoguang006 · 8,007
#31
东南亚大事件(热点新闻)
@dnyshijian · 9,625
#32
东南亚|亚太|每日吃瓜新闻 🍉
@yataipd · 5,536
#33
东南亚曝光社
@Aa090100 · 833
#34
华人大事件-吃瓜新闻
@baoguang821 · 51,566
#35
中文安危曝光🌸海外华人日记
@tghuarenba · 44,364
#36
赌狗社市场交流大会
@baoguang008 · 3,279
#37
同心出海骗子曝光频道
@junzhang02 · 59,953
#38
柬埔寨新闻头条
@hyxw3 · 76,099
#39
东南亚头条资讯
@dongnanyatoutiaozixun1 · 955
#40
缅甸新闻|华人资讯曝光|myanmar news
@miandianhuarenzixun · 70,910
#41
狗仔爆料_吃瓜爆光新闻大事件
@gouzaibaoliao · 2,150
#42
越南新闻大事件
@VN704 · 60,125
#43
头条事件
@mv111 · 52,194
#44
华人/每日吃瓜/新闻🍉
@haiyangjituan3344 · 24,117
#45
柬埔寨西港大事件
@BG423 · 33,478
#46
博彩黑平台曝光🔍
@uuuuuf · 244,570
#47
大象曝光|新闻
@dxdb001 · 6,917
#48
东南亚新闻大事件
@bvl222 · 45,237
#49
全球华人大事件曝光
@qqhrdsjbg · 183,305
#50
东南亚大事件|全球华人大事件(担保交易)
@miandianDS · 45,525
#51
泰国新闻大事件
@th769 · 50,106
#52
东南亚曝光(吃瓜)
@dongnanya108 · 161,350
#53
博民网官方曝光频道
@bominwang18 · 4,647
#54
缅甸今日头条 | 缅甸新闻 - 爆料 - 生活频道
@Ru_Yi88 · 152,514
#55
海外大事件(猎奇-吃瓜)
@aa144 · 35,225
#56
博彩黑台曝光
@baoguang_bc · 39,172
#57
迪拜新闻大事件
@uae918 · 87,186
#58
မောင်ချိန်ခွင်
@MaungCheangKwan2000 · 13,498
#59

Read from Telegram’s recommendation API, most recently 13 August 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.

Appears in Telegram’s recommendations for other channels

The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.

迪拜新闻|海豹资讯曝光|dubai news
@dibai_01 · 178,705
Telegram ranks this channel #6 of 50 here — alongside 49 others — read 15 August 2026
菲律宾今日新闻|海豹资讯曝光|philippine news
@baoguang_123 · 119,228
Telegram ranks this channel #10 of 73 here — alongside 72 others — read 14 August 2026
🍉吃瓜中心&搞笑日常
@cggx33 · 51,582
Telegram ranks this channel #12 of 72 here — alongside 71 others — read 21 August 2026
越南新闻大事件
@VN704 · 60,125
Telegram ranks this channel #17 of 65 here — alongside 64 others — read 27 August 2026
缅甸新闻大事件
@MB104 · 85,475
Telegram ranks this channel #23 of 75 here — alongside 74 others — read 16 August 2026
🅥世界TG华人曝光吧吃瓜社🇨🇳
@BG576 · 432,047
Telegram ranks this channel #34 of 68 here — alongside 67 others — read 10 August 2026
曝光|新闻|大事件
@TGBG8888 · 85,601
Telegram ranks this channel #52 of 82 here — alongside 81 others — read 21 August 2026

This channel appears in 7 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.

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 27 September 2026 — this entry's latest reading, not the date you are reading this.

“全网曝光|东南亚大事件” (@dnysj), 201,277 subscribers as measured 27 September 2026. Telegram Register, tgregister.com/channel/dnysj.

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.