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Channel

东南亚大事件|吃瓜|悬赏『金边日记』

@zs999

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

47,493subscribers

-14,546 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-1002285847694
TypeChannel
Usernames@mianbei111 @zs999
Description🔅🔆本频道只负责发布,自行甄别🔆🔅 📢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。 📫投稿 :tg路虎 @tgluhu
CreatedBetween 1 September 2024 and 31 March 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live12 November 2026
Measurements held122
Confirmed unchanged1 time, most recently 12 November 2026
On Telegramt.me/zs999

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 70% 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 4 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
@vp987/356528 Aug 2026, 01:00 UTC@zs999/45200 · this entry8 Aug 2026, 01:00 UTC1.00under a minute
@vp987/3602012 Aug 2026, 08:00 UTC@zs999/45620 · this entry13 Aug 2026, 00:00 UTC1.0016 hours
@zs999/45753 · this entry15 Aug 2026, 04:00 UTC@vp987/3622015 Aug 2026, 08:00 UTC1.004.0 hours
@zs999/46491 · this entry25 Aug 2026, 07:31 UTC@vp987/3716525 Aug 2026, 07:32 UTC1.00under a minute
@zs999/48942 · this entry30 Sept 2026, 18:40 UTC@vp987/3972930 Sept 2026, 20:16 UTC1.001.6 hours
@vp987/402698 Oct 2026, 15:00 UTC@zs999/49422 · this entry8 Oct 2026, 15:00 UTC1.00under 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
@vp98719 (7/8 hand-verifiable sample passed)1.0011 minutesthis entry (10–9)
@cd33312 (7/8 hand-verifiable sample passed)1.007.0 hours@cd333 (9–3)
@xinlangtoutiao10 (7/8 hand-verifiable sample passed)1.004.0 hourseven
@nn666668 (7/8 hand-verifiable sample passed)1.004 daysthis entry (5–3)

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. 26 of the 26 matches recorded here fall after that date and carried no header when we read them. The rest predate reliable capture and are not evidence either way.

“Published first” means first in this corpus. We hold 1,619 comparable posts for this entry, running 7 August 2026 to 12 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 keys clone_copy · clone_mutual, last confirmed 13 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

38,84176,13857,489.547,4937 August 202612 November 2026
122 measurements spanning 97 days, net -14,546. 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 33,246–81,733 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 122
Measured (UTC)SubscribersChange
12 Nov 2026, 23:2147,493-82
11 Nov 2026, 21:4647,575-43
10 Nov 2026, 17:0447,618-71
10 Nov 2026, 02:3947,689-86
9 Nov 2026, 07:0647,775-76
8 Nov 2026, 18:0947,851-93
7 Nov 2026, 22:1847,944-56
7 Nov 2026, 11:1948,000-52
6 Nov 2026, 21:1648,052-16
6 Nov 2026, 12:4848,068-42
5 Nov 2026, 23:0148,110-15
5 Nov 2026, 11:2948,125-28
4 Nov 2026, 23:2648,153-23
4 Nov 2026, 09:4848,176-61
3 Nov 2026, 23:2148,237-128
3 Nov 2026, 06:2048,365-191
3 Nov 2026, 01:3948,556-84
2 Nov 2026, 06:2848,640no change
2 Nov 2026, 04:3948,640-36
1 Nov 2026, 03:2948,676first reading

Engagement

1,848 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 248 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
8.26%
avg views ÷ 47,493 subscribers
Avg views / post
3,920
616 posts measured
Reaction rate
1.12%
reactions ÷ views · ER floor
Posts in window
616
of 1,848 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 582 of 616 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 13 November 2026
Posts held1,848 (7 August 2026 – 13 November 2026)
Views total2,417,190
Reactions total26,737
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken13 Nov 2026, 12:01 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

Photos
≈23,100
Videos
≈5,200
Links
≈108

Lifetime counters from Telegram’s own channel header, read 13 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
1h 25m
Average length
25s

Measured directly from 203 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

47,880 reactions across 960 posts, in 12 distinct kinds. The most used accounts for 15.2% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍7,26815.2%
💯5,31011.1%
🥰5,16610.8%
🔥5,15910.8%
🤩5,04410.5%
🎉5,03910.5%
😍4,98410.4%
❤4,97610.4%
❤‍🔥4,90510.2%
⚡170.036%
👏110.023%
🏆10.002%

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 960 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 47,880 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 24 September 2026 to 13 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: 1 of 616 posts held from the last 30 days (0.162%) 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).

13 Nov 2026, 11:18 UTC173 views2 reactionsread 13 November 2026
Video

#东南亚吃瓜曝光 #东南亚大事件 #金边日记 网友投稿:真正困住你的从来不是世界 是没出过门就替全世界下结论 中国很大,但不代表一辈子只能待在这片土地。很多人劝你别出国,理由永远一样:东南亚有诈骗,欧美有枪击,国外很乱不安全。可大多数人从没踏足过那些地方。你没去过,却笃定全世界都危险,了解世界的方式不是亲眼所见,只是短视频和新闻碎片。新闻不骗人,但只报极端、意外、灾难。看一次地震就说日本不能去,看几起诈骗就认定东南亚全是陷阱,看零星枪击就觉得欧美人人自危。 谨慎没错,但很多人不是谨慎,是无知且极度自信。没去过欧洲敢断言欧洲混乱,分不清菲律宾在哪敢说去了回不来。国内很好毋庸置疑,但家乡好不代表外面不值得看,爱国不需要靠贬低全世界来证明。很多人觉得向往国外就是被洗脑,可真实的国外,大多数人只是普通上班、吃饭、恋爱、过日子。 为什么那么多人劝你别出去?因为大家都在井底,有人想跳出去看看,剩下的人不会羡慕好奇,只会拼命喊外面危险…

👍2

13 Nov 2026, 11:05 UTC213 views51 reactionsread 13 November 2026
Photo

#东南亚大事件 #金边日记 #东南亚吃瓜曝光 香港警方火石行动扫黄 元朗拘21名内地女子 最大73岁 11月12日消息,香港警方近日联合入境事务处展开代号火石行动(FLINTSTONE)的执法行动,重点打击非法卖淫。11月11日,元朗警区在辖区突击执法,共拘捕21名内地女子,年龄18至73岁。 行动由元朗警区特别职务队联合入境事务处人员展开,针对涉嫌非法卖淫的场所及相关人员调查搜查。21名内地女子涉嫌违反逗留条件被捕,其中一名73岁女子因涉嫌街头招揽顾客被捕,为元朗警区相关扫荡行动中最高龄被捕女性之一。所有被捕人员已被扣留调查,案件仍在处理。 警方表示将继续与入境事务处合作,通过联合执法打击非法卖淫及相关违法活动,加强辖区场所巡查。

🔥14❤11😍10👍8💯8

13 Nov 2026, 09:52 UTC≈1,070 views51 reactionsread 13 November 2026
Photo

#金边日记 #东南亚吃瓜曝光 #东南亚大事件 中国网赌头目刘宁在泰国落网 涉案流水约15亿美元 据泰国媒体报道,11月12日上午,泰国移民局第一侦查处联合多部门在曼谷素坤逸—伊卡迈高档公寓区突击抓捕,擒获遭中国警方通缉的特大网络赌博平台幕后头目刘宁(41岁,中国籍),其涉非法开设赌场罪被通缉。 行动源于中国驻泰国大使馆通报的协查情报。刘宁逃到泰国后用合法签证掩护身份,长期深居简出,常一次性囤积大量生活物资躲在曼谷豪华公寓规避追查。突击审讯中他对犯罪事实供认不讳,坦承是知名大型网赌平台皇冠的幕后老板,该平台主营足球博彩及各类网络赌博,旗下逾4000个赌客账号,累计流水高达500亿泰铢(约15亿美元)。他从普通球迷兼赌客起步,逐步成为平台核心合伙人并自立门户。 泰国警方已依法拘押,将推进吊销签证及引渡遣返程序。

🔥14❤12👍9😍9❤‍🔥7

13 Nov 2026, 09:37 UTC≈3,040 views52 reactionsread 13 November 2026
Photo

#东南亚大事件 #金边日记 #东南亚吃瓜曝光 雪兰莪警方捣毁两个网络诈骗集团 11人被捕 11月13日报道,马来西亚雪兰莪州警方近日两次突击,捣毁两个涉嫌网络诈骗的犯罪集团,共逮捕11人,含1名马来西亚籍男子、7名外籍男子及3名外籍女子,年龄22至45岁。 行动分别于11月3日及11月10日进行,地点涉及雪兰莪州加影及巴生。初步调查,两集团涉爱情诈骗及虚假投资诈骗,主要目标为海外人士,通过网络联络下手。警方查获14部手机、6台笔记本电脑、3本笔记本、2台路由器、一体式电脑及iPad等,估值约2万令吉。 部分嫌疑人已被提控,两名外籍嫌疑人11月6日依《刑事法典》第120B(2)条被起诉,各判罚款2000令吉并缴清;另3人转为控方证人,其余仍在调查。 雪兰莪警方表示将继续打击网络诈骗,追查涉案人员。

🎉12❤‍🔥11👍10🤩10🥰9

13 Nov 2026, 09:07 UTC≈1,490 views50 reactionsread 13 November 2026
Photo

#东南亚大事件 #金边日记 #东南亚吃瓜曝光 网友投稿:有人偷数据被抓现行 还反咬一口说我们是骗子 这人混进我们东南亚公司偷数据,抓到死不承认,嘴上还扯维护国家法律。在飞机上做黑灰,回头跟我们讲遵守国家法律,真够搞笑。我们骂了一顿没多说,他转头跑去跟客户说我们是骗子。 炸了三条鱼被我们即时发现制止,起步超过30万美金。现在人已回国,在广西南宁。

🤩13😍13❤‍🔥9❤8🥰7

13 Nov 2026, 08:35 UTC≈3,380 views50 reactionsread 13 November 2026
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#东南亚大事件 #金边日记 #东南亚吃瓜曝光 洪森称柬埔寨也是电诈受害者 今天,柬埔寨参议院主席洪森在金边会见美国新任驻柬埔寨大使克里斯托弗·乔恩·安德森时表示,网络诈骗并非柬埔寨一国独有问题,而是需各国持续携手应对的全球性挑战。 柬埔寨自身同样也是该类网络犯罪的受害者。

❤‍🔥12👍11😍11❤10🤩6

13 Nov 2026, 08:00 UTC≈4,480 views51 reactionsread 13 November 2026
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😤路虎推荐平台😤国际知名品牌😤 😤😤😤😤 😤😤😤😤 ▶️⚡️⚡️⚡️⚡ ️欲戴皇冠 必承其重 ▶️😆😄😀😉🥲 全网福利天花板 【七天担保直营】👍 ▶️ 🤩🤩🤩🤩 🤩亿级域名|78.COM ‼️ ▶️ 🧐皇冠综合台-皇冠担保 官方直营 直达入口

👍18💯11🔥11❤‍🔥6🎉5

13 Nov 2026, 07:50 UTC≈1,570 views50 reactionsread 13 November 2026
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#东南亚大事件 #金边日记 #东南亚吃瓜曝光 掸邦三个月抓759名外籍人员 502人为中国籍 据缅甸媒体11月13日报道,缅甸军方称2026年8月1日至10月31日在掸邦开展三个月打击网络诈骗及非法赌博行动,共抓获759名外籍人员,其中中国籍502名。 军方检查被捕人员电脑手机后发现,相关人员通过互联网及社交平台实施诈骗,目标主要是中国公民,手段包括网络交友、假扮恋爱对象、发布虚假投资项目和高薪招聘信息、以中奖为由诱骗转账。部分团伙还经营虚假网络赌博平台,利用AI和深度伪造技术仿冒名人面孔声音、制作仿冒新闻网站诱骗投资。 军方指出,边境地区网络诈骗还与洗钱、人口贩运等犯罪挂钩,将继续打击,并提醒民众别乱点可疑链接,别透露密码和短信验证码,发现诈骗及时举报。

❤12🔥11🎉9👍9🥰9

13 Nov 2026, 06:50 UTC≈4,700 views51 reactionsread 13 November 2026
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#东南亚吃瓜曝光 #金边日记 #东南亚大事件 住户喊抓人 公司说有关系 到底谁占理 住户不想被牵连,催着赶紧把开工的抓走。公司那边回得也直白,在这环境里只想多赚钱,还强调有关系会提前通知。 一个怕被端,一个赌有人罩。关系真管用的话,哪还有这么多人天天提心吊胆。

🤩13❤11👍10❤‍🔥9💯8

13 Nov 2026, 06:50 UTC≈4,660 views50 reactionsread 13 November 2026
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#东南亚大事件 #金边日记 #东南亚吃瓜曝光 马来西亚13天扫荡电信诈骗团伙 抓932人含538名中国籍 马来西亚警方10月19日至31日展开全国打击行动Magpie 01/2026,突袭112个诈骗团伙呼叫中心,153次突击检查650处商业及住宅单位,共逮捕932人,含106名马来西亚公民和826名外国人,其中538名中国公民为外籍落网人数最多群体,796名男子、136名女子。 诈骗团伙主要藏身公寓,涉虚假投资、爱情诈骗、电话诈骗、网络赌博及虚假招聘,受害者遍布多国,中国受害者相关诈骗记录最多。警方查获超2000部手机、433台笔记本电脑及平板电脑,大量电脑、路由器、护照及作案设备,充公约10万令吉现金。 警方正追查幕后主脑、资金管理人员及协助者,提醒民众别轻信陌生来电、投资邀约,别乱给银行资料、密码及验证码。

❤‍🔥14😍13🥰9🎉8🤩6

13 Nov 2026, 06:35 UTC≈4,630 views50 reactionsread 13 November 2026
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#东南亚吃瓜曝光 #金边日记 #东南亚大事件 美国新任驻柬埔寨大使拜访洪森 11月13日上午,柬埔寨参议院主席洪森在金边参议院团结宫会见美国新任驻柬埔寨大使克里斯托弗·约翰·安德森,双方举行礼节性会见并工作交流。 这是安德森履新后的外交活动之一。

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13 Nov 2026, 06:05 UTC≈4,530 views51 reactionsread 13 November 2026
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#金边日记 #东南亚吃瓜曝光 #东南亚大事件 缅甸克伦邦诈骗窝点74人求救 涉8国公民 疑遭拘禁殴打强迫劳动 11月12日,反人口贩运公民社会援助网络披露,缅甸克伦邦多个疑似电信诈骗窝点共74名外国公民求助,涉及老挝、菲律宾、泰国、肯尼亚、埃塞俄比亚、卢旺达、马来西亚及中国8国。求助者称遭非法拘禁、强迫劳动、身体伤害及勒索赎金。 74人中老挝籍40人、菲律宾籍11人、泰国籍女性10人、肯尼亚籍5人、埃塞俄比亚籍3人、卢旺达籍3人、马来西亚籍1人、中国籍男性1人。部分人称KK Park遭打击后人员未全获救,被转移至森林山区新基地,成排建筑加围栏、武装看守,数量还在增加,原中国籍主管随行,诈骗活动正向更隐蔽地点转移。 11名非洲籍人员在UK666附近求救,称护照被没收、通讯受限、遭殴打索赎金;11名菲律宾籍人员分布在107 Park和Jungle Camp,部分求助超一年未获救。一名马来西亚籍男子称被中介转卖,背27.5万泰…

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Showing the 12 most recent of 1,848 posts we hold for @zs999. 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 88 posts on @zs999 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
8 August 2026
Most recent seen missing
6 November 2026
Median time before seen missing
13 hours
Seen missing in the last 30 days
14

Mentions

Named by 5 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.

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

“东南亚大事件|吃瓜|悬赏『金边日记』” (@zs999), 47,493 subscribers as measured 12 November 2026. Telegram Register, tgregister.com/channel/zs999.

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.