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Channel

东南亚大事件🔥

@xd666t

On this record: Topic · Observations · Growth · Engagement · Reactions · Posts · Citations · Cite this entry

1,047subscribers

-2 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 1,000–3,162.

Register entry

Telegram ID-1002649178189
TypeChannel
Username@xd666t
CreatedBetween 1 March 2025 and 31 July 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded8 August 2026
Last confirmed live20 August 2026
Measurements held4
Confirmed unchanged3 times, most recently 20 August 2026
On Telegramt.me/xd666t

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 15 August 2026 and assigned it the closest of 31 fixed categories, at 65% 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.

Views per post sit far above this size band

2,430 average views per post against 1,047 subscribers — an engagement rate of 232.1%. Across the 2,201 registered channels in the same cohort — 1,001–3,159 subscribers, posting mainly in Chinese — the middle half sit between 4.82% and 35.6%, with a median of 15.1%.

What this was computed from
Window30 days (21 July 2026 20 August 2026)
Posts measured8 of 8 published in the window (6 exact, 2 rounded by Telegram)
Views totalled19,438
Mature posts only232.1% over 8 posts read at least 24h after publication
Subscribers1,047 measured 14 August 2026
Cohortb1000:zho · 2,201 channels · p10 1.05% · p25 4.82% · p50 15.1% · p75 35.6% · p90 62.7%
Position in cohort99.591th percentile · 15.4× the cohort median
Uncertainty±0.314% of the figure, from Telegram’s rounding
Post languageChinese · 100.0%of the window’s posts

When this is recorded. A channel is listed here only when its engagement rate sits at or above the 99th percentile of its cohort and is at least 3× away from that cohort’s median — above it — on both the all-readings figure and the mature-only figure. The percentile alone would be circular: a percentile cut puts the same share of every cohort in the tail whatever the data looks like. The distance from the median is what makes it a statement about this channel.

This is not a verdict, and the direction is not a quality signal.A low rate has many innocent causes — audiences that read in the Telegram app without opening the channel, a subscriber base built long before the current output, an audience in a different timezone from our reading. A high rate has innocent causes too: a post that travelled far beyond the channel’s own subscribers will do it. We publish the measurement and the distribution it sits in. The full cohort baselines are downloadable, so this comparison can be reproduced rather than trusted.

Recorded under the key err_high, last confirmed 20 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.

Growth

1,0471,0491,0487 August 2026 — 1,049 subscribers8 August 2026 — 1,049 subscribers10 August 2026 — 1,048 subscribers14 August 2026 — 1,047 subscribers7 August 202614 August 2026
4 measurements spanning 6 days, net -2. 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 1,047–1,049 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
14 Aug 2026, 04:581,047-1
10 Aug 2026, 16:141,048-1
8 Aug 2026, 00:191,049no change
7 Aug 2026, 18:041,049first reading

Engagement

10 posts held, back to 16 July 2026the 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
116.3%
avg views ÷ 1,047 subscribers
Avg views / post
1,220
5 posts measured
Reaction rate
this channel exposes no reaction counts
Posts in window
5
of 10 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.

What these figures were computed from
WindowRolling 30 days · latest post in window 4 August 2026
Posts held10 (16 July 20264 August 2026)
Views total6,090
Reactions total
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken8 Aug 2026, 00:19 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.

Reaction mix

1 reaction across 1 post, in 1 kind.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
1100.0%

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 1 of the 10 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 1reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 10 most recent posts we hold, published 16 July 2026 to 4 August 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

4 Aug 2026, 01:14 UTC46 viewsread 8 August 2026
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#网友投稿 跨越半个多国家的偷渡😅 8月2号我们公司终于是全员撤离成功到达了新国家新地方开工上班,我们是从波贝出来点,大家看到的各种东南亚新闻抓波贝的电诈打野从未停止过,反正波贝现在成建制有规模的园区已经是没有了,这都是千真万确因为我们就是从打野夹缝中花钱买通军警给消息逃出来的。 我们公司原来是在波贝园区办公有百多号人,三月份也是顶不住军警宪兵来扫园区的态势公司迅速无序撤离,到现在只留下我们十七个无护照无签证的老员工由主管带着租民房仓库继续在波贝外围打野。 7月份我们公司原本打算是全员偷渡去泰国,但经过一个多星期和蛇头朋友的沟通现在从柬埔寨想偷渡去泰国非常难,就是花高价也很容易被抓,柬埔寨这方的边境线是管理的不严,但泰国那边的边境线从7月初就已经派了好多新边防军加强防守,时不时可能还会在边境上放几炮🙂。 7月27号我们全员简装经蛇头朋友带队从章哈出发,往柬埔寨东北方向驱车经仲加最后到达新偷渡地点达翁附近进

29 Jul 2026, 03:05 UTC97 viewsread 8 August 2026
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#群友投稿:境外诈骗回流人员量刑分层2026年八月新规 1.集团首要分子(老板、出资人)全部犯罪数额计入量刑,金额巨大普遍10年以上、无期;自首也难降到3年以下,基本不缓。 2.组长、主管、财务、培训、后勤管理(骨干) 有业绩:大多4-8年;金额不清但窝点停留时间长:3-6年;缓刑极少,绝大多数实刑。 3.普通业务员(底层,从犯)- 有查实个人诈骗金额:按个人金额+从犯减轻;- 无业绩但窝点≥30天:基准3-10年。叠加从犯+自首+认罪认罚+全额退缴,实务可下探到1-3年,部分地区符合条件可缓。 4.纯后勤(食堂、维修、保洁,完全不接触诈骗)参与时间短、获利少,不起诉、定罪免处或缓刑概率较高。 数罪并罚同时触犯偷越国(边)境罪,实务多择一重罪处罚,不再并罚。 从轻筹码(尽量全部拿到)1. 自首(回国投案)、坦白、认罪认罚;2.认定从犯(底层重点争取);3.退缴本人全部违法所得(工资+提成);4.

27 Jul 2026, 03:20 UTC171 viewsread 8 August 2026
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#舔狗日常 东南亚男子养女友一年结果她说三观不合提出分手 在东南亚打拼的一名男子,遇到了他认为一生最爱的女人。两人很快走到一起,没过多久,女子便回国了,而他依然留在东南亚继续奋斗。 女子回国后继续从事夜场工作,经常喝酒到醉。男子看在眼里,心里十分难受,便劝她在家休息,并承诺每个月给她生活费,由他来养。 就这样,他养了她快一年时间。期间女子提出的各种要求,他几乎都满足了,包括整容、购买金首饰和外出旅游。他觉得在外辛苦打拼,有个女人在国内等着,心里也觉得温暖和开心。 最近,男子想接她过来团聚,便让她去请律师补办护照,下个月就能飞过来。然而,前几天女子又和小姐妹去酒吧喝酒到大半夜。男子多次劝说,她依然我行我素。最后一次,女子几个小时不回消息,男子气不过发了火,结果被她指责性格极端、三观不合,说两人以后不会有结果,让他体面接受分手。 女子表示要继续去做扶手赚钱。自己付出的一切换来的就是这样的结果吗?她却回复说不就是钱吗,让他

25 Jul 2026, 02:28 UTC196 viewsread 8 August 2026
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#缅甸新闻:扫荡挡不住扩张 妙瓦底半年冒出至少25处诈骗园区 7月24日,国际反人口贩运组织国际司法使团公布的卫星调查显示,缅甸妙瓦底地区自2026年初以来,至少有25处涉嫌从事网络诈骗的园区新建或大幅扩建。 卫星图片显示,部分地点在几个月前还是空地或森林,随后迅速完成土地平整和树木清理,并修建道路、宿舍及成片建筑。其中一处地点仅在今年1月至4月间,就新建了约24栋建筑。调查人员认为,这些场所的布局与妙瓦底其他大型诈骗园区高度相似,部分大型建筑可能用于集中安置园区人员。 美联社核查了国际司法使团标记的25处地点,并分析今年3月1日至6月1日期间的设备活动数据,发现其中至少13处使用过星链网络。调查还发现,去年遭清查的部分园区已经重新有人进入,一些人员和设备则被转移到新建地点。 调查人员表示,去年针对妙瓦底诈骗园区的清查虽然一度影响部分业务,但新建和扩建场所的规模,已经足以容纳此前被迫转移的诈骗活动。

23 Jul 2026, 00:11 UTC330 views1 reactionsread 8 August 2026
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昨晚金边捣毁一电诈窝点:抓获25名中国人和缅甸人 昨天晚上,金边市统一指挥部突击搜查了位于堆谷区568街的一处涉嫌网络诈骗的窝点。行动中,执法人员共查获25名外籍人员,包括中国人、中国台湾人和缅甸人,其中包括4名女性。 此外,警方还在现场缴获了大批主机与显示器等涉案电脑设备。

1

22 Jul 2026, 01:39 UTC218 viewsread 8 August 2026
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#干货分享:狗推回国焚诀 最近查得严,在境外的狗推兄弟们都焦虑的很,今天深度解析一下,回国以后什么情况下不用坐牢,面对帽子叔叔审讯应该怎么回答对自己有利 三类大概率不用坐牢的人群 1️⃣ 被胁迫的工具人 护照被扣、遭受殴打恐吓、无自主决策权、被动参与。应当减轻或免除处罚。 关键操作:全力留存被控制、被胁迫的证据。 2️⃣ 自首+全额退赃 如果确定身上有事儿,先让家属派出所说明情况再回国,可认定视同自首。自首加退赃是顶级从轻筹码,即便涉案几十万也可争取不起诉或缓刑。 操作要点:境外未回国前,家属主动联系公安机关。 3️⃣ 被害人谅解 如果被人点了,有具体你手底下的会员信息。那你就要想办法取得书面谅解,检察院可酌情作出不起诉决定。 操作要点:积极赔偿并获取被害人书面谅解书。 面对审讯绝对不能说的4句话 ❌“来来来,有证据就给我定罪,我手机全换了,你们拿啥查?”——挑

20 Jul 2026, 01:09 UTC197 viewsread 8 August 2026
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女性被当成“奖励”送给诈骗人员,英国媒体曝光园区性侵黑幕 英国《太阳报》7月19日发布调查报道,曝光东南亚诈骗园区内女性遭人口贩卖、强迫诈骗、殴打、性侵及强迫堕胎等问题,报道内容主要涉及柬埔寨诈骗园区。 报道指出,不少受害者被虚假招聘广告或熟人以高薪工作为由骗到柬埔寨,抵达后护照和手机被没收,并被关进有武装人员看守的园区,被迫从事网络投资、虚拟货币及恋爱诈骗。 未完成诈骗指标或拒绝工作的人员,会被电棍、哑铃等工具殴打,部分人被长时间罚站、断粮或关进被称为“黑屋”的房间接受酷刑。还有人员在试图逃跑时从楼上跳下身亡。 一名20岁的乌干达女子原本获邀到柬埔寨西部拜林省担任英语教师,抵达后却被送进诈骗园区,被迫充当恋爱诈骗视频中的女性角色。她表示,园区负责人多次安排守卫把守房门后对她实施性侵。 她与一名肯尼亚女子后来均因性侵怀孕,并被强迫服药终止妊娠。报道还提到,部分女性因长期遭受性侵感染艾滋病等疾

16 Jul 2026, 03:22 UTC232 viewsread 8 August 2026
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越南最大男妓网络被端!5个网站、180名“男模”、主谋获利超10亿 7月14日下午,越南河内市公安局对外通报一起特大线上色情中介案件。本次行动抓获两名核心组织者武光辉、欧阳礼,另有技术协助人员黄友义一并落网。两名主犯长期居住在胡志明市,其中欧阳礼还是Tbay科技服务有限公司负责人,三人全部因涉嫌介绍卖淫被立案调查。 警方核查案情后透露,该非法中介网络名下从业者约180人,既有越南本地人员,也包含外籍从业者,客源遍布越南各地及海外。整个团伙没有固定线下交易门店,根据客户需求提供上门、跨城赴约、定点酒店会面等服务,流动作案的模式极大提升了隐蔽性。 团伙分工清晰,武光辉为总负责人,线上统一调度所有从业人员,欧阳礼则负责技术搭建,为整条非法产业链制作运营涉黄网站。为规避监管、掩盖非法交易性质,团伙先后搭建6个伪装网站,将色情从业者包装成男模特,网页详细刊登人物照片、身材条件、活动区域等信息,伪装成正规模特资源平台,引诱客户线上挑选

Showing the 10 most recent of 10 posts we hold for @xd666t. 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 — 1,052,569 of 1,584,733entries 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.

Forward network

Republished by

Channels on the register that have forwarded this channel's posts into their own feed.

Built only from forwarded posts we have actually read, on both sides. Coverage is early and deliberately incomplete: a missing link means we have not read the post that would prove it, never that the relationship does not exist. Counts are distinct forwarded posts observed, so they only ever go up as we read more.

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 14 August 2026 — this entry's latest reading, not the date you are reading this.

“东南亚大事件🔥” (@xd666t), 1,047 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/xd666t.

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.