#群友反馈:西港大江酒店对面发生枪击事件,一女孩被一个男的打了一枪,不知道是因为什么。 Ps:在港的同胞多注意安全。 ⛑订阅:@fc836 投稿:@fc846
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Channel
@fc836
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
33,852subscribers
+2,197 since we began measuring on 10 September 2026
Risers and fallers across the register · movement among entries of 31,623–100,000.
| Telegram ID | -1003707136226 |
|---|---|
| Type | Channel |
| Username | @fc836 |
| Description | 🌏 #东南亚 #柬埔寨 #菲律宾 #缅甸 #泰国 #马来 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。 ToK: tiktok.com/@dnydsj1 本频道谢绝任何政治敏感新闻,新闻仅供参考,无刻意引导~~ 本频道工作人员不会主动私聊任何飞机用户! 投稿澄清: @fc846 商务合作: @jw106 |
| Created | Between 1 February 2026 and 31 July 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 10 September 2026 |
| Last confirmed live | 4 November 2026 |
| Measurements held | 31 |
| Confirmed unchanged | 1 time, most recently 4 November 2026 |
| On Telegram | t.me/fc836 |
Other / unclassifiable — 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 2 October 2026 and assigned it the closest of 31 fixed categories, at 83% 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.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 4 Nov 2026, 10:39 | 33,852 | -207 |
| 3 Nov 2026, 08:56 | 34,059 | -5 |
| 2 Nov 2026, 11:51 | 34,064 | -109 |
| 1 Nov 2026, 10:56 | 34,173 | -223 |
| 31 Oct 2026, 10:56 | 34,396 | -336 |
| 30 Oct 2026, 12:49 | 34,732 | -398 |
| 29 Oct 2026, 14:01 | 35,130 | -233 |
| 28 Oct 2026, 15:56 | 35,363 | -305 |
| 27 Oct 2026, 18:05 | 35,668 | -318 |
| 26 Oct 2026, 16:11 | 35,986 | -523 |
| 25 Oct 2026, 15:16 | 36,509 | -291 |
| 24 Oct 2026, 12:35 | 36,800 | -508 |
| 23 Oct 2026, 13:36 | 37,308 | -268 |
| 22 Oct 2026, 15:19 | 37,576 | -417 |
| 21 Oct 2026, 10:20 | 37,993 | -220 |
| 20 Oct 2026, 06:28 | 38,213 | -302 |
| 19 Oct 2026, 04:27 | 38,515 | -239 |
| 18 Oct 2026, 06:56 | 38,754 | -188 |
| 17 Oct 2026, 07:56 | 38,942 | -548 |
| 16 Oct 2026, 10:01 | 39,490 | first reading |
939 posts held, back to 10 September 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 95 pages of Telegram’s post history, 20 posts per page.
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 54 of 515 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 4 November 2026 |
|---|---|
| Posts held | 939 (10 September 2026 – 4 November 2026) |
| Views total | 176,094 |
| Reactions total | 62 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 4 Nov 2026, 17:50 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.
Lifetime counters from Telegram’s own channel header, read 4 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.
Measured directly from 224 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.
188 reactions across 132 posts, in 10 distinct kinds. The most used accounts for 58.5% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👀 | 110 | 58.5% | |
| custom 5201923277764732797 | 27 | 14.4% | |
| 👍 | 22 | 11.7% | |
| 😨 | 11 | 5.85% | |
| ❤ | 10 | 5.32% | |
| 🤡 | 3 | 1.60% | |
| 💩 | 2 | 1.06% | |
| 🔥 | 1 | 0.532% | |
| 😭 | 1 | 0.532% | |
| 🤯 | 1 | 0.532% |
Custom emoji. One row above is a Telegram custom emoji, which the public preview renders as an element carrying only a numeric id — no character, and no image we can reach. The id is printed as-is rather than substituted with a look-alike glyph, because a stand-in would be our invention showing where a measurement should be. The count beside it is Telegram’s.
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 137 of the 939 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 188 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 939 most recent posts we hold, published 10 September 2026 to 4 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.
Telegram’s own ‘edited’ marker: 10 of 515 posts held from the last 30 days (1.94%) 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).
#群友反馈:西港大江酒店对面发生枪击事件,一女孩被一个男的打了一枪,不知道是因为什么。 Ps:在港的同胞多注意安全。 ⛑订阅:@fc836 投稿:@fc846
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#小姐姐投稿 #后续补充 今天在此细说事情的全部经过。 我和他认识也是通过夜场,那时候我并没有很喜欢他,我只觉得这是我每天日复一日的工作日常。都说在夜场遇到的人,终究会在夜场结束。 后来他回了老挝,我们互相并没有联系。 过了些许日子,他主动给我发信息。那时候我正经历家庭的痛苦,那时候深渊中有人拉了我一把,我愣住了,我在想他真的爱我吗?开始动摇自己的内心,还是选择相信了他。 我去老挝找他,带我出去散心,陪伴我,我以为我遇到真心对我的人了。 那天我把自己这些年的种种经历与不堪,还有遇人不淑的事情,都敞开心扉跟他诉说,以为他会理解我。 或许是太久没遇到有感觉的人,我非常上头,并把这段短暂且美好的相遇定义为缘分。 我自以为只要我足够真诚,以为自己拥有主动去爱的能力和勇气,直到初遇的礼貌和热情褪去那一时,一切都变了。 记得他知道我爱的音乐去给我定制,也记得看见我咳嗽严重带我去看病,还有陪伴我的那段时光。 我想我会因为这…
#网友投稿:老挝金三角特外又要开始检查了 已经有多名网友反馈称现在已经通知停工了。据说是别的地方的老挝警察来东鹏,平安村一带查! ⛑订阅:@fc836 投稿:@fc846
#网友投稿:当初菲律宾严厉打击POGO,整个行业都人心惶惶,都怕被冲楼,就跑到了柬埔寨来,以为柬埔寨是最后的归宿 结果到了现在,当初发生在菲律宾的冲楼,现在又在柬埔寨重演一遍,到底什么地方才是狗推最后的归宿? ⛑订阅:@fc836 投稿:@fc846
😀😀😀😀😀😀😀😀😀😀 柬埔寨大事件上押5️⃣0️⃣0️⃣万😃 🙂↔️为什么选择😀😀😀😀😀😀 👍每周送🟣嫩模🟣双飞🟣空降 👍每月送🟣金条🟣跑车🟣名表 👍每年送🟣送车🟣送房🟣送国籍 🥰强大资金储备随时支持验资 集团耗资百亿U 实力坐庄 绝无套路! 支持视频验资 欢迎各大盘总前来爆庄!! 🤓欢迎全网玩家监督品鉴 😎只玩真实 😩用心打造全球顶级品牌 😍实力毋庸置疑! ↘️全球布局 娱乐造富 无惧爆庄 出款0审核! 😀 联系专员: @SSGJANI 😀 注册网址: SSGJ113.vip 😀 官方频道: @SSGJYL 😀 官方客服: @SSGJ77
#马来西亚资讯:雪兰莪士毛月突袭6处住宅,117人被捕,109名外国人涉嫌卷入网络诈骗 11月3日,马来西亚移民局联合马来西亚通讯及多媒体委员会(MCMC),在雪兰莪州士毛月展开联合执法行动,对6处涉嫌被用作网络诈骗据点的住宅进行突击检查,最终逮捕117人,其中包括109名外国人及8名马来西亚籍人士。 马来西亚移民局总监扎卡里亚·沙班指出,此次行动是在接获公众投诉后,由执法人员经过约两周情报收集与调查而展开。行动于当天上午11时50分正式进行,共出动77名移民局执法人员及10名通讯及多媒体委员会工作人员。 被捕人员包括98名外籍男子、11名外籍女子,以及7名马来西亚籍男子和1名马来西亚籍女子。外籍人员分别来自中国、日本、韩国、柬埔寨及越南。 初步调查发现,这6处住宅涉嫌被用作网络诈骗集团的运作据点,主要涉及虚假投资、虚假招聘及电子商务诈骗等活动。执法人员突袭时,部分人员据称正在通过社交媒体平台与受害者进行联系。 行动期…
#群友分享:这些年走过了许多国家,同样也端过盘子擦过桌,见过太多的勾心斗角尔虞我诈,现在能平安健康的也感到欣慰,刚刚出来的时候总是立志要出人头地衣锦还乡,但拼了那么多年结果也还不是一无所有,至少也被累着了,停下来时不敢回头去看我逝去的青春,现在回到农村过着与世无争安静的生活反而觉得十分满足。 幸福不属于穷人同样也不属于富人,而是属于知足的人、此时我就是知足的那个人、祝各位还在打拼的同胞马到成功万事如意。 ⛑订阅:@fc836 投稿:@fc846
#网友曝光#陈汉伦 我那么相信你和你老婆一起骗我,办理遣返的救命的3万多人民币你都骗,你他妈是个人吗。放心我会在中国实名举报你,那个女的是他越南的女朋友,请大家注意此人陈汉伦吸毒贩毒满嘴跑火车,目前他在越南他女朋友家。我已经回国已经报警。 ⛑订阅:@fc836 投稿:@fc846
#网友投:我们公司在迪拜斯里兰卡泰国这几个国家都有长期的菠菜办公场所,为更好的拓展公司业务二零二六四月我和部门几个做技术的同事被派去蒙古的乌兰巴托。 刚开始我们是通过中介办理的三十天旅游签证从曼谷直飞的乌兰巴托,到了蒙古的乌兰巴托后一直是住在市中心里面的酒店打野上班。 在酒店里面住了一个月不到我们又找中介帮我们办理了一年的工作签证。算算时间到现在为止有半年了,从刚开始我们部门的六个人来乌兰巴托住酒店打野,发展到现在已经有二十几个技术骨干来到乌兰巴托的市中心住酒店潇洒的敲着键盘远程办公打野。 自从入境蒙古到现在为止半年多的时间我们从未遇到蒙古警察或移民局来检查护照签证,我们住的酒店也只是入住的时候在前台登记过一次护照。我们部门在其他国家的人知道在乌兰巴托酒店办公打野又安全又爽之后大把人排队想申请过来。 我们部门已经制定了相关有资格申请来乌兰巴托办公的要求,在其他国家的部门优秀员工当月KPI绩效考核前两名才有资格申请过来,虽…
#网友投稿:昨天晚上,缅甸果敢“老街”中国警方和果敢警方联合执法,端掉了一个诈骗公司,现场抓了一大批狗推! 最近回流老街的中国人越来越多了,听说最近好多家公司都开了大单,严打马上又要来了,兄弟们赶紧跑路! ⛑订阅:@fc836 投稿:@fc846
我与朋友前夫素不相识,更八竿子打不着,不知晓他们之间发生了什么事,她却莫名其妙来骂我、拉扯我,口出狂言拒不道歉。自己与人感情纠纷,却牵扯到无辜的人。我了解情况后得知,原来是她倒贴我朋友前夫无果,自费去找了人家,结果一毛没得到,当了赔钱货。她是咋认识我朋友前夫的呢?她是我朋友前夫的粉丝,有一次饭局上叫她来陪,她就直接过来睡了,还挑拨我跟我朋友的关系,自称我朋友前夫欠她钱。人家给你买东西不是钱?你明码标价就不要装名媛钓凯子,你也不是那个料,得不到心里价位后道心破碎,一直发疯到处乱骂无辜的人,造谣我富二代朋友,还有说我是“扶手”。明明自己是800、1k的红包妹,却到处污蔑正常女性,心机至深至恶毒。当天饭局上有人告诉我,她自称医院股东,有几千万身家,说自己身边朋友闺蜜全是ww、坐台的,说自己投资的钱能买我们的命。碰见这种疯子碰瓷也是无语了。 以上是此女照片,大家缺b操的可以去找她了,免费不要钱的捞女一枚,请你别给东北人丢脸了。 ⛑订阅…
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Showing the 12 most recent of 939 posts we hold for @fc836. 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.
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.
Names
Channels on the register whose handles appear in this channel's posts.
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.
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 4 November 2026 — this entry's latest reading, not the date you are reading this.
“东南亚大事件|前线报道-聚焦时事” (@fc836), 33,852 subscribers as measured 4 November 2026. Telegram Register, tgregister.com/channel/fc836.
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.