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Channel

东南亚新闻悬赏|柬埔寨大事件曝光

@vayi6

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

68,043subscribers

+40,114 since we began measuring on 8 August 2026

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

Register entry

Telegram ID-1002760358557
TypeChannel
Username@vayi6
Description东南亚新闻、实时更新柬埔寨、缅甸、泰国、马来西亚、菲律宾一线资讯,聚焦当地社会、跨境事件,一手消息持续推送 投稿爆料: @qqx255 商务合作: @qqx255
CreatedBetween 1 June 2025 and 31 August 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded8 August 2026
Last confirmed live12 November 2026
Measurements held61
Confirmed unchanged1 time, most recently 12 November 2026
On Telegramt.me/vayi6

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 3 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
@jpzjdft/1033411 Oct 2026, 11:06 UTC@vayi6/3449 · this entry11 Oct 2026, 11:06 UTC1.00under a minute
@jpzjdft/1035612 Oct 2026, 11:12 UTC@vayi6/3471 · this entry12 Oct 2026, 11:13 UTC1.0072 seconds
@jpzjdft/1045114 Oct 2026, 12:07 UTC@vayi6/3541 · this entry14 Oct 2026, 12:08 UTC1.00under a minute
@jpzjdft/1051716 Oct 2026, 11:49 UTC@vayi6/3608 · this entry16 Oct 2026, 11:50 UTC1.00under a minute
@jpzjdft/1051916 Oct 2026, 12:09 UTC@vayi6/3609 · this entry16 Oct 2026, 12:11 UTC1.0072 seconds
@jpzjdft/1072522 Oct 2026, 15:20 UTC@vayi6/3869 · this entry22 Oct 2026, 15:22 UTC1.002 minutes
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
@jpzjdft12 (7/8 hand-verifiable sample passed)1.0072 seconds@jpzjdft (12–0)
@jpzdsjj11 (7/8 hand-verifiable sample passed)1.00under a minute@jpzdsjj (11–0)
@ys315bg11 (7/8 hand-verifiable sample passed)1.0072 seconds@ys315bg (11–0)

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. 34 of the 34 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 1,291 comparable posts for this entry, running 7 August 2026 to 13 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_copy, last confirmed 14 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

27,92996,06161,99568,0438 August 202612 November 2026
61 measurements spanning 97 days, net +40,114. 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 17,709–106,281 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 61
Measured (UTC)SubscribersChange
12 Nov 2026, 20:4068,043-1,366
10 Nov 2026, 15:5569,409-607
9 Nov 2026, 03:0670,016-781
7 Nov 2026, 21:5870,797-793
6 Nov 2026, 20:5671,590-433
5 Nov 2026, 21:4172,023-277
5 Nov 2026, 00:3672,300-33
4 Nov 2026, 03:2772,333-73
3 Nov 2026, 03:5872,406-145
2 Nov 2026, 00:1772,551-577
1 Nov 2026, 03:0573,128-968
31 Oct 2026, 01:5974,096-1,778
29 Oct 2026, 23:1975,874-682
28 Oct 2026, 23:4676,556-1,756
27 Oct 2026, 20:0078,312-1,033
26 Oct 2026, 21:5979,345-1,758
25 Oct 2026, 18:3681,103-623
24 Oct 2026, 16:5581,726-1,760
23 Oct 2026, 18:1083,486-1,376
22 Oct 2026, 17:3584,862first reading

Engagement

1,372 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 202 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
4.68%
avg views ÷ 68,043 subscribers
Avg views / post
3,180
357 posts measured
Reaction rate
0.259%
reactions ÷ views · ER floor
Posts in window
357
of 1,372 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 218 of 357 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 14 November 2026
Posts held1,372 (7 August 2026 – 14 November 2026)
Views total1,136,034
Reactions total1,976
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken14 Nov 2026, 20:13 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
≈4,520
Videos
≈31
Links
≈72

Lifetime counters from Telegram’s own channel header, read 14 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
1m 20s
Average length
40s

Measured directly from 2 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

3,953 reactions across 725 posts, in 9 distinct kinds. The most used accounts for 21.3% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍84221.3%
🔥76319.3%
👏62015.7%
🎉61815.6%
❤54013.7%
🤩40210.2%
😁1614.07%
🥰40.101%
⚡30.076%

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 725 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 3,953 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 25 August 2026 to 14 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 357 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).

14 Nov 2026, 14:38 UTC≈34,100 views4 reactionsread 14 November 2026
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韩国专注于筹办活动为单身人士提供相识机会,以应对出生率下降问题 首尔市政府近日宣布,将举办一项名为“首尔相亲”的配对活动,为单身人士提供在2026年底前寻找伴侣的机会。这一举措被视为市政府应对低生育率和单身人口增加问题的又一尝试,旨在通过公共平台为青年男女创造更多相识与交往的空间。 据了解,“首尔相亲”活动将由市政府相关部门牵头组织,面向在首尔生活或工作的适龄单身人士开放。活动计划通过线上报名、资料审核和线下见面等环节,为参与者提供相对轻松、安全的交友环境。与民间相亲节目不同,市政府主导的配对活动更强调公益性和可信度,在信息核实、隐私保护等方面设置相应规范,以降低单身人士参与相亲活动的顾虑。活动具体场次、规模和形式尚未完全公布,但市政府方面表示,将根据报名情况和实际需求分阶段推进,力争在2026年底前帮助更多单身人士找到交往对象。

👍2❤1🎉1

14 Nov 2026, 13:55 UTC≈1,310 views16 reactionsread 14 November 2026
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国际仁人家园首席执行官赞赏柬埔寨的住房发展政策 柬埔寨王国首相洪玛奈亲王殿下近日在金边和平大厦礼节性接见了来访的首席执行官乔纳森·T·M·雷克福德先生,双方在亲切友好的气氛中进行了交谈。此次会晤属于外交礼宾范畴的礼节性接见,体现了柬埔寨政府对相关企业及机构代表的重视,也为双方后续在经贸等领域的沟通搭建了平台。 从背景来看,柬埔寨近年来持续推行开放的经济政策,积极改善营商环境,吸引外资进入基础设施建设、制造业、农业加工和数字经济等多个领域。洪玛奈首相就任以来,多次在公开场合强调政府将致力于维护政治稳定和社会秩序,为国内外投资者提供可预期的政策环境。在此背景下,外国企业首席执行官到访并获首相礼节性接见,通常被视为企业表达在柬长期经营意愿、政府释放欢迎信号的双向互动。礼节性接见虽不涉及具体协议的签署,但往往为后续实质性磋商奠定基础,也常被外界解读为企业对柬埔寨市场信心的体现。

🤩8🎉4🔥4

14 Nov 2026, 13:14 UTC154 views2 reactionsread 14 November 2026
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邦肯区警方逮捕一名藏匿冰毒的男子,其在轻轨站下形迹可疑地站着,等待男友带他去开房聚众吸毒 曼谷邦肯区警方近日在一次例行巡查中逮捕一名涉嫌持有毒品的可疑男子,该男子在地铁站出口附近长时间逗留,最终因主动要求搜查而被查出随身携带冰毒。目前,案件已移交调查部门进一步处理。 据邦肯区警察局局长阿南·沃拉萨警上校通报,11月8日,他下令由副局长戈索比亚·西玛警中校带队,联合调查科副科长育拉南·佩差玛尼警中校、素拉蓬·廷普警少校等组成调查组,在辖区内重点区域开展治安巡查。行动中,警方注意到一名男子站在地铁站下方人行通道附近,神情紧张、形迹可疑,遂上前表明身份并进行盘问。

🎉2

14 Nov 2026, 12:55 UTC≈1,950 views1 reactionsread 14 November 2026
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🔤5️⃣🔤🔤🔤🔤 每日发放1️⃣0️⃣0️⃣0️⃣万会员红包雨 😀U5贵宾会平台😁😀 😛☺ 以及多种电子钱包存取款。 不限ip U存U取(无须实名) 😍😍😍😍😍😍😍😍😍😍😍😍😍😍😍😍 😀😀 平台公平、公正、公开,资金安全干净,提款无次数限制 😀😀 信誉第一、服务第一、资金保障、大额无忧 😀😀 不限IP地区,东南亚均可娱乐 🙁逆天操作:金边老板麻将爆奖910万U 🙁天选之子:西港主管百家乐赢525万U 🙁命有己造:木牌KTV老板提3000万U 🔗官方网址: https://146.103.83.200:5002/?id= 261447514 🔗官方客服:@U5kefu 🔗官方频道:@U5gbh 🔤5️⃣每日发放1️⃣0️⃣0️⃣0️⃣万会员红包雨 🧐😀🧐🥸😎🥸😎🧐

👏1

14 Nov 2026, 12:31 UTC≈5,060 viewsread 14 November 2026
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英伟达与超速公司的纠葛可能挤压新加坡在芯片领域的空间,拖慢企业步伐:分析师 一起婚外情事件,正意外地将全球芯片巨头英伟达及其新加坡客户美佳斯比推向舆论与监管审视的中心。事件本身看似属于私人领域,却因当事人所处的行业位置与当前敏感的技术出口管制背景交织,迅速演变为一场关于先进半导体流向的公共追问。美佳斯比被怀疑协助中国获取美国先进半导体,这一质疑使原本聚焦于个人行为的讨论,转向对跨国芯片贸易链条合规性的关注。 要理解这一事件的冲击力,需将其置于近年来美国对华半导体出口管制持续收紧的大背景之下。美国以国家安全为由,对先进芯片、相关设备及技术实施多轮限制,并要求企业严格审查客户与最终用途。在这一框架下,英伟达作为全球人工智能芯片的主要供应商,其销售网络与客户资质自然成为监管重点。新加坡作为区域贸易与物流枢纽,长期扮演芯片分销与转口角色,当地客户因此更容易被置于放大镜下。美佳斯比被指可能充当先进芯片流向中国的中间环节,恰好触碰了当前…

14 Nov 2026, 11:55 UTC≈2,310 views1 reactionsread 14 November 2026
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👍1

14 Nov 2026, 11:50 UTC≈7,220 views1 reactionsread 14 November 2026
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随着事件激增,斯里兰卡确认17头高风险大象 科伦坡消息——斯里兰卡政府近日决定动用武装部队保护野生大象,包括岛上仅存的一些长牙象。这一举措是在该国最著名的野生大象之一卡万蒂萨死亡引发公众广泛愤怒后作出的。据当地媒体报道,这项由多方联合推进的保护行动,将重点部署在大象活动频繁的保护区和周边区域,以遏制日益猖獗的盗猎和人为伤害行为。 卡万蒂萨的死亡之所以触动社会神经,不仅因为它在斯里兰卡野生动物观光中具有标志性地位,更因为它象征着该国大象种群面临的系统性危机。斯里兰卡亚洲象是该国重要的自然遗产和文化符号,长牙象更是其中的珍稀群体,数量极为有限。近年来,随着人类活动范围扩张、栖息地碎片化加剧,大象与当地社区的冲突不断上升,盗猎、非法陷阱以及交通事故等人为因素持续威胁象群生存。卡万蒂萨的遭遇,正是这一矛盾的集中体现。

👍1

14 Nov 2026, 11:06 UTC≈7,410 views2 reactionsread 14 November 2026
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少年靠一包零食在森林中存活6天 一名17岁少年在维多利亚州森林中迷路六天后成功获救,靠着一包零食和泉水撑过了这段艰难时光。这名少年名叫威廉,他在进入森林后不久便迷失方向,随身携带的食物极为有限,仅有一包零食。面对突如其来的困境,威廉没有慌乱,而是将零食分成小份,精打细算地节省食用,同时寻找山泉水饮用,以维持基本体力。正是这种冷静与克制,让他在等待救援的过程中坚持了下来。 据当地媒体报道,威廉失踪后,家人迅速报警,警方和救援队伍随即展开搜索。维多利亚州森林面积广阔,地形复杂,林木茂密,一旦偏离步道便极易失去方向感。加之林中手机信号微弱,给搜救工作带来不小难度。救援人员动用了多种手段,在重点区域反复排查,最终在第六天发现了威廉的踪迹。获救时,他虽然身体虚弱,但意识清醒,能够与救援人员正常交流,随后被送往医院接受进一步检查和治疗。

👏1🔥1

14 Nov 2026, 10:55 UTC≈2,440 views1 reactionsread 14 November 2026
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⚡️⚡️⚡️⚡️ 🔤🔤🔤🔤🔤🔤 ⚡️⚡️⚡️⚡️ ⚡️⚡️⚡️ 😀😀😀😀😀😀😀😀😀😀😀😀😀😀 发财娱乐投资10个亿美金 打造全网最牛线上国际娱乐城.业界龙头,行业第一,只有你想不到的.没有我们发财娱乐城做不到的.东南亚神话. 【上线六大福利|专属开放】 😭新人扶持8️⃣8️⃣🔤 😭代理推广1人=1️⃣8️⃣8️⃣🔤 😭每日千万幸运红包雨 抢不停 😭逢6必发 每月三期 亿万倾情回 😭支持😘😘😘方便快捷 😭实时返水 1️⃣🔤3️⃣🔤最高5️⃣🔤无需打码 😍😍😍😍😍😍😍😍😍😍😍😍😍😍😍😍 👠官方网址: https://146.103.76.229:5012/?id= 830007278 🤣官方客服: @fcylkf 🤣官方频道: @FCylpd 😭 加入🔤🔤,和全世界玩家一起,爆赚 🔤🔤㊗️

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14 Nov 2026, 10:25 UTC156 views1 reactionsread 14 November 2026
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有什么用?酒店卫生间里像铃铛一样的圆形金属物,不是叫服务员的铃。 酒店卫生间“铃铛按钮”用途揭晓 看似不起眼却关乎安全 不少住过酒店的人都有过这样的疑惑:卫生间墙壁上,尤其是马桶旁边或浴缸附近,常能看到一个圆形的按钮,外形像个小铃铛,按下去似乎没有明显反应。它究竟是做什么用的?近日,这一细节引发不少网友讨论,答案揭晓后,很多人表示“住了这么多年酒店,现在才知道”。

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14 Nov 2026, 09:44 UTC≈7,360 views1 reactionsread 14 November 2026
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12人死亡,包括一名5岁儿童,多人受伤,恐怖军政府战斗机轰炸了蓬那遵的比亚拉流离失所者营地

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14 Nov 2026, 09:02 UTC≈8,420 viewsread 14 November 2026
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“这算作弊吗?合法吗?”——男子在新加坡回收机前反复扫描同一饮料罐条形码,引发关于多罐退款是否合规的争议 新加坡近日一段关于饮料容器回收机的视频在网络上引发广泛讨论。视频显示,一名男子在组屋区内的回收机前反复操作:他先扫描一个空饮料罐,待机器成功读取条形码后,却并未将罐子投入回收口,而是将其抽出,随后又插入另一个罐子,如此循环往复。这一行为被旁观者拍下并上传至社交媒体,迅速激起关于回收计划设计与退款机制的热议。 新加坡近年来推行饮料容器回收计划,旨在通过经济激励提高空罐、空瓶的回收率。按照设计,消费者在购买饮料时需为容器支付小额押金,归还空容器后可取回押金。回收机通过扫描条形码识别容器是否符合退款条件,确认无误后才会收入并记录。然而,视频中男子的操作暴露出一个潜在漏洞:机器在扫描条形码后、容器真正落入回收仓之前,似乎并未设置足够的物理防呆机制,使得同一条形码可能被反复读取,从而触发多次退款记录。

Showing the 12 most recent of 1,372 posts we hold for @vayi6. 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 3 posts on @vayi6 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
25 August 2026
Most recent seen missing
3 November 2026
Median time before seen missing
15 hours
Seen missing in the last 30 days
1

Mentions

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.

“东南亚新闻悬赏|柬埔寨大事件曝光” (@vayi6), 68,043 subscribers as measured 12 November 2026. Telegram Register, tgregister.com/channel/vayi6.

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.