Telegram RegisterThe public register of Telegram
Telegram profile photo for 东南亚头条新闻

Channel

东南亚头条新闻

@fznnn

2 usernames

On this record: Topic · Observations · Growth · Engagement · What this channel posts · Reactions · Posts · Posts recorded as deleted · Citations · Handles named that no longer answer · Cite this entry

48,311subscribers

-609 since we began measuring on 12 August 2026

Risers and fallers across the register · movement among entries of 31,623–100,000.

Register entry

Telegram ID-1002712659578
TypeChannel
Usernames@fznnn @huanyuxjg
Description专注于东南亚华人新闻资讯、大小事件及吃瓜,生活故事分享等,让你看尽海外华人大小事件。 This channel adheres to Telegram's official rules and user agreement. Any content that violates these rules will be removed, and serious violations will result in a ban. 合作 : @wcccc
CreatedBetween 1 June 2025 and 30 September 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded12 August 2026
Last confirmed live11 November 2026
Measurements held118
Confirmed unchanged1 time, most recently 11 November 2026
On Telegramt.me/fznnn

Topic

National news — 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 79% 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.

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 in near-verbatim form on 2 other registered channels. 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
@fznnn/42880 · this entry25 Oct 2026, 11:52 UTC@xinwenpindao11/2698525 Oct 2026, 11:52 UTC1.00under a minute
@fznnn/43625 · this entry1 Nov 2026, 05:04 UTC@xinwenpindao11/274331 Nov 2026, 07:29 UTC1.002.4 hours
@fznnn/44230 · this entry6 Nov 2026, 16:05 UTC@xinwenpindao11/276987 Nov 2026, 02:11 UTC1.0010 hours
@fznnn/41684 · this entry11 Oct 2026, 08:21 UTC@xinwenpindao11/2622611 Oct 2026, 08:21 UTC0.94under a minute
@fznnn/41609 · this entry10 Oct 2026, 08:55 UTC@xinwenpindao11/2616110 Oct 2026, 08:55 UTC0.94under a minute
@fznnn/41873 · this entry13 Oct 2026, 13:38 UTC@dashijianh/2854213 Oct 2026, 13:39 UTC0.90under a minute
Channels this entry shares post bodies with, where at least one matching post pair has no forward credit between the two channels, or to a common source, recorded in our data
ChannelMatching postsText overlapTypical gapPublished first
@xinwenpindao115 (5/5 hand-verifiable sample passed)0.98under a minutethis entry (5–0)
@dashijianh5 (5/5 hand-verifiable sample passed)0.844 minutesthis entry (5–0)

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 1,935 comparable posts for this entry, running 12 August 2026 to 11 November 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).

Recorded under the key clone_source, last confirmed 12 November 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.

Growth

34,47254,17544,323.548,31112 August 202611 November 2026
118 measurements spanning 91 days, net -609. 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 31,517–57,130 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 118
Measured (UTC)SubscribersChange
11 Nov 2026, 16:5248,311-143
11 Nov 2026, 01:5048,454-178
9 Nov 2026, 23:5548,632-108
9 Nov 2026, 10:3448,740-173
8 Nov 2026, 13:0748,913-112
8 Nov 2026, 00:5649,025-208
7 Nov 2026, 03:3149,233-101
6 Nov 2026, 22:2749,334-122
6 Nov 2026, 06:3849,456-35
5 Nov 2026, 23:4649,491-182
5 Nov 2026, 02:1549,673-31
4 Nov 2026, 22:0449,704-77
4 Nov 2026, 04:4749,781-25
4 Nov 2026, 00:0949,806-125
3 Nov 2026, 06:4649,931+1
3 Nov 2026, 03:3849,930-22
2 Nov 2026, 08:5649,952-18
2 Nov 2026, 02:4749,970-100
1 Nov 2026, 09:5450,070-88
1 Nov 2026, 03:3450,158first reading

Engagement

2,363 posts held, back to 12 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 189 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
1.48%
avg views ÷ 48,311 subscribers
Avg views / post
714
730 posts measured
Reaction rate
0.142%
reactions ÷ views · ER floor
Posts in window
730
of 2,363 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 38 of 730 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 12 November 2026
Posts held2,363 (12 August 2026 – 12 November 2026)
Views total521,344
Reactions total39
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken12 Nov 2026, 07:44 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
≈21,900
Videos
≈5,580
Links
≈1,520

Lifetime counters from Telegram’s own channel header, read 12 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
6h 11m
Average length
1m 04s

Measured directly from 348 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

46 reactions across 43 posts, in 8 distinct kinds. The most used accounts for 56.5% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍2656.5%
❤715.2%
👎510.9%
👏36.52%
❤‍🔥24.35%
🍌12.17%
👌12.17%
🤔12.17%

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 45 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 46 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 4 October 2026 to 12 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: 0 of 730 posts held from the last 30 days (0%) 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).

12 Nov 2026, 07:31 UTC≈1,750 viewsread 12 November 2026
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#温馨提示:现在利用ios漏洞盗币的现象有多疯狂。 连做通道的都被黑吃黑了,正在互相提醒及时升级设备系统~ 关注新闻频道 ➡️ @fznnn 投稿:@peibanwo

12 Nov 2026, 07:18 UTC≈1,750 viewsread 12 November 2026
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#币安:鉴于美国金融犯罪执法网络(FinCEN)已将 MEXC 认定为“主要洗钱关注对象”(Primary Money Laundering Concern),币安正采取进一步的强化合规措施。 此前文章: 即日起,用户不得通过币安向 MEXC、MEXC Global 及其关联公司或相关实体转出资金、接收来自上述实体的资金,或进行涉及上述实体的其他交易。 向 MEXC 地址发起的资金转出请求将被拒绝。 关注新闻频道 ➡️ @fznnn 投稿:@peibanwo

12 Nov 2026, 07:16 UTC≈1,780 viewsread 12 November 2026
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12 Nov 2026, 06:59 UTC≈1,750 viewsread 12 November 2026
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#网友投稿:今天,西港店里来了位大兄弟,要钱,强要! 他说前几年被卖园区的,现在要找人去解决事情,没有钱,那我说你去隔壁吃碗面,钱我付,他不要,就要钱! 我说联系救助,大家中国人帮一把,他说他不要!没办法,最后给了5刀,他才走。 大兄弟要钱不要吃的~~ 关注新闻频道 ➡️ @fznnn 投稿:@peibanwo

12 Nov 2026, 06:27 UTC≈1,880 viewsread 12 November 2026
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#印尼资讯:巴厘岛一周内处理26名外国人!24人遭遣返,涉及非法放贷、卖淫及移民违规 印尼巴厘岛移民部门近日展开外国人执法行动,在2026年10月31日至11月8日期间,共对26名涉嫌违反移民法规及涉及违法活动的外国人采取行动,其中24人被遣返回国,另外2人被移交移民拘留中心等待进一步处理。 据印尼媒体《detikBali》11月11日报道,此次行动由伍拉·赖移民局及登巴萨移民局联合展开,涉及人员来自多个国家,案件包括非法网络私人放贷、违规经营、逾期居留、涉嫌卖淫及扰乱公共秩序等。 在此次执法行动中,15名马来西亚籍人员因涉嫌在巴厘岛经营非法网络私人放贷业务而受到处理。 此外,两名俄罗斯籍人员分别涉嫌违规经营美容诊所,以及从事与其居留许可不符的别墅推广工作。一名澳大利亚籍人员则因涉嫌殴打别墅住客而被移民部门处理。 移民部门还发现多起逾期居留案件,其中一名英国籍人员逾期居留长达65天,另有法国籍及澳大利亚籍人员因违反居留…

12 Nov 2026, 06:10 UTC≈1,760 viewsread 12 November 2026
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#马来西亚资讯:砂拉越警方捣毁7个跨国电诈集团!42人落网,其中18名中国籍人员被捕 11月12日报道,马来西亚砂拉越警方近日展开大规模反诈骗执法行动,成功捣毁7个涉嫌针对海外受害者实施诈骗的犯罪集团,共逮捕42名涉案人员,其中包括18名中国籍人士。 据当地媒体报道,砂拉越警方于2026年10月19日至31日期间展开代号为 “Ops Magpie 01/2026” 的专项行动,突击检查古晋、民都鲁、巴达旺、美里及诗巫等多个地区,成功瓦解7个涉嫌经营跨国网络诈骗业务的犯罪团伙。 警方表示,落网的42人分别为14名马来西亚籍、18名中国籍、8名印尼籍、1名台湾籍及1名缅甸籍人员。 初步调查显示,这些犯罪集团涉嫌通过虚假投资、加密货币诈骗、虚假网络赌博平台以及其他网络诈骗手段,对日本、中国、印尼及奥地利等国家和地区的民众实施诈骗,部分人员还涉嫌负责管理诈骗所得资金。 行动期间,警方共起获33台笔记本电脑、4套台式电脑、76部…

12 Nov 2026, 05:49 UTC16 viewsread 12 November 2026
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柬埔寨警方历时50小时,成功侦破中国男子遭枪杀及燃油被盗案! 11月9日,柬埔寨磅士卑省普农斯鲁县发生一起盗窃燃油并枪杀中国籍油主的案件。 此前文章: 案发后,磅士卑省、​​西哈努克省及国公省警方联合展开追捕行动。 经过50小时的追查,警方宣布行动取得成功。 关注新闻频道 ➡️ @fznnn 投稿:@peibanwo

12 Nov 2026, 05:20 UTC≈1,820 viewsread 12 November 2026
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#越南资讯:胡志明市遣返115名柬埔寨籍人员,6人遭起诉,涉嫌组织外国人非法居留 越南胡志明市公安部门于11月11日上午,将115名柬埔寨籍人员遣返回柬埔寨,并在木牌(Mộc Bài)国际口岸移交柬方有关部门。与此同时,警方已对涉嫌组织外国人非法居留的6名涉案人员提起刑事诉讼。 据越南当地媒体报道,警方调查发现,案件涉及胡志明市新协坊(Tân Hiệp)两处住宿设施。执法人员此前于8月25日展开突击检查,现场发现115名柬埔寨籍人员居住于上述场所,但相关住宿设施未依法申报外国人的临时居留信息。 经过进一步调查,警方怀疑有人涉嫌组织外国人在越南非法居留,并依据越南《刑法》第348条展开刑事追诉。目前,6名涉案人员已被立案调查,其中包括4名越南籍人员及2名柬埔寨籍人员 关注新闻频道 ➡️ @fznnn 投稿:@peibanwo

12 Nov 2026, 05:06 UTC≈1,790 viewsread 12 November 2026
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12 Nov 2026, 04:44 UTC19 viewsread 12 November 2026
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#网友投稿:西港平安旅行社被宪兵围了,具体什么情况暂时不清楚,附近的注意了!!! 关注新闻频道 ➡️ @fznnn 投稿:@peibanwo

12 Nov 2026, 04:24 UTC≈1,850 viewsread 12 November 2026
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#网友投稿:西港7美金一份猪脚饭的时代过去了 奉劝目前西港各行各业的实体餐饮行业,目前西港、柬埔寨这样的大环境下,每个人都在坚持和过渡。很多人都是吃了上顿没下顿,很多人都是一天吃一餐,保命度日。 如果那些餐饮店、服装店,还是一如往常地维持原来的价格,个别餐厅的堂食还好,结账按0.8折收费,那些坚持去年这个时候价格的店,我想,很快就会有很多人都得关门回去过年了。 现在中国人都跑光了,很多餐饮店都只能见到一些柬埔寨人在打理和出餐,已经吃不到中国的味道了。很多人是来这里做生意的,如果连一点危机感都不懂,不懂得经营人心,那不如早点卷被子回中国去。面临危机,只是迟早的问题。曾经7美金的一份猪脚饭,或一份水饺7美金,又或一份炒粉7美金的时代,已经过去了。 现在西港这边,我们这栋楼已经各自在二手那里淘了个电饭煲。流行的是一个电饭锅,一键启动,一天三顿的问题就解决了,简单、经济、实惠。去沙乐市场买点红薯、玉米棒,吃得比点那些地沟油的外卖…

12 Nov 2026, 04:08 UTC10 viewsread 12 November 2026
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马来西亚吉隆坡甲洞发生持刀袭警事件! 昨晚马来西亚吉隆坡甲洞逸福园(Kepong)一栋公寓据报发生严重持刀袭警事件。一名尼日利亚籍男子持两把刀具追砍现场警员,过程中造成一名警员手掌被砍断,现场情况一度十分危急。 面对男子持刀攻击,警员随后开枪还击,该名尼日利亚籍男子最终中弹身亡。🌏传送门 关注新闻频道 ➡️ @fznnn 投稿:@peibanwo

Showing the 12 most recent of 2,363 posts we hold for @fznnn. 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 10 posts on @fznnn 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
23 August 2026
Most recent seen missing
24 October 2026
Median time before seen missing
13 hours
Seen missing in the last 30 days
6

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.

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 11 November 2026 — this entry's latest reading, not the date you are reading this.

“东南亚头条新闻” (@fznnn), 48,311 subscribers as measured 11 November 2026. Telegram Register, tgregister.com/channel/fznnn.

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.