Channel
@ton689
On this record: Topic · Observations · Growth · Engagement · What this channel posts · Reactions · Posts · Posts recorded as deleted · Citations · Telegram's recommendations · Cite this entry
68,819subscribers
+25,953 since we began measuring on 13 August 2026
Risers and fallers across the register · movement among entries of 31,623–100,000.
| Telegram ID | -1001825009637 |
|---|---|
| Type | Channel |
| Username | @ton689 |
| Description | #东南亚 #柬埔寨 #菲律宾 #缅甸 #泰国 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。 本频道谢绝任何政治敏感新闻，新闻仅供参考，无刻意引导~~避免我们的评论区火药味变得更重。本频道鼓励尊重友好的交流方式，进一步发表有意义的评论内容。 投稿机器人 @dnyawsbot |
| Created | Between 1 October 2022 and 30 September 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 13 August 2026 |
| Last confirmed live | 10 November 2026 |
| Measurements held | 57 |
| Confirmed unchanged | 1 time, most recently 10 November 2026 |
| On Telegram | t.me/ton689 |
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 69% 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.
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.
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.
| Posted first | Then | Overlap | Gap |
|---|---|---|---|
| @ton689/71363 · this entry16 Oct 2026, 13:44 UTC | @bx600/5893016 Oct 2026, 14:35 UTC | 0.92 | 52 minutes |
| @ton689/66919 · this entry14 Aug 2026, 13:20 UTC | @bx600/5477314 Aug 2026, 13:22 UTC | 0.91 | 2 minutes |
| @ton689/68821 · this entry7 Sept 2026, 12:41 UTC | @bx600/564747 Sept 2026, 12:43 UTC | 0.91 | 72 seconds |
| @ton689/70131 · this entry28 Sept 2026, 13:19 UTC | @bx600/5780728 Sept 2026, 13:23 UTC | 0.90 | 4 minutes |
| @ton689/67351 · this entry19 Aug 2026, 13:48 UTC | @bx600/5518019 Aug 2026, 15:30 UTC | 0.90 | 1.7 hours |
| @ton689/69817 · this entry24 Sept 2026, 12:05 UTC | @bx600/5755224 Sept 2026, 12:34 UTC | 0.89 | 28 minutes |
| Channel | Matching posts | Text overlap | Typical gap | Published first |
|---|---|---|---|---|
| @bx600 | 11 (8/8 hand-verifiable sample passed) | 0.90 | 7 minutes | this entry (10–1) |
| @sililanka188 | 8 (8/8 hand-verifiable sample passed) | 0.86 | 13 minutes | this entry (8–0) |
| @djs123 | 6 (6/6 hand-verifiable sample passed) | 0.88 | 9 minutes | this entry (6–0) |
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. 1 of the 1 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 1,377 comparable posts for this entry, running 13 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.
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.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 10 Nov 2026, 17:57 | 68,819 | -1,327 |
| 9 Nov 2026, 01:41 | 70,146 | -644 |
| 7 Nov 2026, 16:47 | 70,790 | -788 |
| 6 Nov 2026, 13:56 | 71,578 | -363 |
| 5 Nov 2026, 11:09 | 71,941 | -604 |
| 4 Nov 2026, 11:45 | 72,545 | -729 |
| 3 Nov 2026, 11:57 | 73,274 | -26 |
| 2 Nov 2026, 14:20 | 73,300 | -481 |
| 1 Nov 2026, 12:19 | 73,781 | -410 |
| 31 Oct 2026, 09:19 | 74,191 | -1,668 |
| 30 Oct 2026, 06:54 | 75,859 | -514 |
| 29 Oct 2026, 07:46 | 76,373 | -605 |
| 28 Oct 2026, 07:48 | 76,978 | -455 |
| 27 Oct 2026, 07:00 | 77,433 | -315 |
| 26 Oct 2026, 09:49 | 77,748 | -540 |
| 25 Oct 2026, 09:05 | 78,288 | -1,065 |
| 24 Oct 2026, 10:56 | 79,353 | -555 |
| 23 Oct 2026, 12:05 | 79,908 | -369 |
| 22 Oct 2026, 14:36 | 80,277 | -700 |
| 21 Oct 2026, 10:59 | 80,977 | first reading |
1,717 posts held, back to 13 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 165 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 75 of 617 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 12 November 2026 |
|---|---|
| Posts held | 1,717 (13 August 2026 – 12 November 2026) |
| Views total | 178,123 |
| Reactions total | 74 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 12 Nov 2026, 21:57 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 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.
Measured directly from 326 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.
131 reactions across 125 posts, in 3 distinct kinds. The most used accounts for 94.7% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 124 | 94.7% | |
| ❤ | 6 | 4.58% | |
| 💋 | 1 | 0.763% |
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 130 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 131 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 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.
Telegram’s own ‘edited’ marker: 0 of 617 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).
#群友爆料：有个开发团队已经公开了tg的漏洞和完整的漏洞代码包括演示视频，甚至在免费发商业化工具。 各位兄弟一定要小心，立刻取消关注所有机器人。 此前爆料： t.me/svip/81841 漏洞是不需要做任何操作的，只要关注了机器人，对方是可以直接控制设备，不是盗号，是直接远程操控整个设备！！！ PS: 这次的漏洞是真的夸张~~ 已经有公司的人中招了。 关注大事件频道➡️ @ton689 投稿： @niao6
#最新消息：🆘️️🆘️️🆘️️telegram 出现严重安全漏洞~!看到消息就会中招！ 最新版看到消息基本就会中招，请立刻退出你的电脑telegram，不要用电脑登录飞机，无论是windows 还是 mac。 PS：盘总们赶紧转发通知下员工吧 关注大事件频道➡️ @ton689 投稿： @niao6
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#马来西亚资讯：雪兰莪移民局突击8处商业场所，59名外国人被捕！ 马来西亚雪兰莪州移民局于11月12日下午1时展开执法行动，突击检查州内8处商业场所，共检查152人，其中包括75名马来西亚公民及77名外国人。行动中，执法人员共逮捕59名外国籍人士，其中男性53人、女性6人。 据悉，当局怀疑部分外国人利用商业场所作为住宿及藏身地点，以躲避执法部门检查。被捕人员涉嫌涉及多项移民违规行为，包括没有有效旅行证件、逾期居留及滥用签证等。 行动结束后，59名被捕人员已被移送至移民局扣留中心接受进一步调查，另有3人被传召协助调查。雪兰莪移民局将继续加强执法力度，打击非法居留及违反移民条例的行为。 PS：近期马来这边会天天抓 打野的团队要当心了 关注大事件频道➡️ @ton689 投稿： @niao6
英伟达创始人黄仁勋因婚外情风波辞职 掌舵33年落幕 11月12日，英伟达董事会正式宣布，公司联合创始人黄仁勋在担任首席执行官33年后辞职，且不再担任董事会成员。现任首席财务官克雷斯（Colette Kress）已出任临时首席执行官，董事会成员琼斯（Harvey Jones）则当选公司首位董事会主席。 据悉，黄仁勋近期陷入婚外情丑闻，不仅坦承出轨，更被曝与新加坡涉案云计算公司Megaspeed前高管黄乐及公司内部已婚女高管存在私情。 黄仁勋目前持股约3.61%，为英伟达第四大股东。受其离职消息冲击，英伟达股价应声下跌14%，市值跌破4万亿美元，为2025年7月来首次。并拖累纳斯达克与标普500指数期货双双走低。 PS：大起大落哎~~~ 关注大事件频道➡️ @ton689 投稿： @niao6
#群友投稿：靠谁不如靠自己 在东南亚摸爬滚打这么多年，见过形形色色的人和事，这片鱼龙混杂的地方，早就教会我一个道理：靠谁，都不如靠自己。 冷，不靠灯；穷，不靠亲。 钱，自己挣；苦，自己吃。 情，自己惜；人，自己爱。 事，自己扛；梦，自己圆。 伤，自己养；家，自己撑。 路，自己走。 这里诱惑多、变数更大，人心难测，风光时围着你的人不少，一旦落难，能伸手的寥寥无几。 别指望别人一直托着你，靠山山会倒，靠人人会跑。脸是靠自己挣的，不是靠别人给的。 风雨只能自己挡，难关只能自己渡，脚下的路，终究要一步一步，靠自己走下去。 关注大事件频道➡️ @ton689 投稿： @niao6
#网友投稿：如今的西港，大部分地方早已变得冷清，街道昏暗，曾经热闹的区域也渐渐失去了往日的灯火。 放眼望去，许多地方都是黑漆漆的一片，唯独越南街，依旧灯火通明。一座城市的变化，有时候不需要太多言语，只要夜幕降临，走上街头，便能感受到时代变迁留下的痕迹。 西港还是那个西港，只是亮着灯的地方，越来越少了。 关注大事件频道➡️ @ton689 投稿： @niao6
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柬埔寨驱逐43名印尼籍人员出境，涉及非法居留及非法务工 11月11日，柬埔寨执法部门对43名印度尼西亚籍人员实施驱逐出境，其中包括8名女性。据柬埔寨方面通报，这43人因涉嫌违反柬埔寨移民及劳工相关规定，涉及非法居留、非法务工等问题，最终被当局依法遣返回国。 此次遣返行动通过德崇国际机场出入境警察检查站执行，相关人员已于11月11日被驱逐出境。 此次行动再次反映出柬埔寨有关部门持续加强对外国人居留及就业情况的管理，提醒在柬外国公民务必遵守当地法律法规，确保持有合法居留及工作许可，避免因违规而受到处罚或被遣返回国。 关注大事件频道➡️ @ton689 投稿： @niao6
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#马来西亚资讯：喜鹊行动！大马警方瓦解112诈骗集团、逮捕932人 大马警方在上月19日至31日，开展为期12天的全国反诈骗“喜鹊行动（Magpie）”，成功瓦解112个诈骗呼叫中心犯罪集团，累计逮捕932名本地及外籍嫌犯。 全国警察商业罪案调查总监拿督鲁斯蒂表示，本次行动原定100次取缔任务，最终超额完成153次突击，搜查公寓、酒店、店屋、办公楼等共计650个场所。 被捕的932人中，外籍人士826人（796男136女）、本地民众106人。外籍嫌犯中以中国人538人居首，其次为越南93人、台湾40人、印尼36人。年龄分布方面，16至45岁青壮年为诈骗主力，其中26至35岁人数最多，达486人。 此次查获的诈骗集团组织严密、分工完整，932名嫌犯各司其职，其中809人为一线客服、诈骗操作员，是核心作案人员，其余为组长、主管及后勤人员，保障诈骗中心全天候运作。 警方在行动中起获大量作案工具，包含200余部手机、433台笔…
#网友投稿：最近越南、马来会有大量的警力进行为期约一周的检查，且将常态化开展工作，请各位多多注意！ 目前接到的消息，越南海关即将进行系统升级，新系统会新增多项前沿技术，有效精准识别护照信息，防空技术将有质的飞跃；并且接入国际刑警组织银色通缉令数据，实现毫秒级反馈。 据了解，越南海关、马来海关接收了一批来自中国方面的通缉名单，均已下放至机场口岸、陆路口岸。 关注大事件频道➡️ @ton689 投稿： @niao6
#越南资讯：广宁省捣毁跨国电诈窝点，12名外国人被查，涉韩中两国籍人员 11月12日，越南广宁省传出一起跨国电信诈骗案件。当地警方在下龙市白斋坊（Bãi Cháy）调查并查获一个涉嫌冒充韩国警方及政府部门工作人员实施诈骗的团伙，共涉及12名外国人，其中包括10名韩国籍人员和2名中国籍人员。 据越南媒体《VnExpress》报道，这伙外国人涉嫌租用当地公寓作为诈骗窝点，通过电话及网络联系韩国民众，冒充韩国警方、检察机关及金融机构工作人员，利用虚构案件、执法调查等理由骗取受害者的个人资料及资金。 警方调查发现，该团伙具有一定组织分工，涉嫌专门针对韩国民众开展诈骗活动，并利用电话通讯及网络渠道实施跨境犯罪。 值得关注的是，在此次涉及的12名外国人中，有4人被指涉及国际通缉令，另有6人受到韩国方面通缉，相关人员身份及涉案情况仍有待进一步核实。 目前，越南警方正在对涉案人员进行调查，并检查现场查获的手机、电脑及其他电子设备，同时…
#致东南亚扶手 踏入缅甸就是狼入虎口 近期妹子被绑架的帖子比较频繁 ，今天有个知情网友说了一个惊天内幕。 缅甸某些黑园区已经把绑架扶手做成了产业，他们会专门在东南亚发布泰国包养女孩子骗到园区绑架勒索强奸轮奸。 他们会去各大包养群发布重金包养信息，引诱去缅甸地区接单，诱骗过去再对其进行 勒索， 轮奸，赔付等，该园区作案已数起，近期也有不少国内的妹子中招。（36岁女子赴泰旅游，被骗缅甸电诈园区）。据说还有国内的小网红也被骗过去。 不要以为金主重金包养做发财梦，这些人已经把绑架扶手做成了产业链，一旦进入缅甸园区，就要付出巨额代价。小姐姐们注意安全吧。 关注大事件频道➡️ @ton689 投稿： @niao6
#网友投稿：有时候我会想，自己是从什么时候开始对键盘产生这种奇妙的依赖感的。 刚进公司的时候，对键盘其实是陌生的，敲字只是工作的一部分，是完成任务的工具。 可这几年下来，我在一段段和客户的对话中，一次次敲击键盘，慢慢地开始感受到那种节奏与表达带来的微妙变化。 每一个字从指尖落下，都像是有温度的、有情绪的，不再只是冷冰冰的符号，而是承载着沟通、理解，甚至一点点情感的延伸。 渐渐地，我发现自己开始享受这种感觉，甚至不再满足于普通的办公键盘，会去在意手感、声音、反馈。当我坐在工位上，没有客户聊天的时候，手指竟会不自觉地发痒，仿佛在等待下一次敲击的开始。 关注大事件频道➡️ @ton689 投稿： @niao6
Showing the 12 most recent of 1,717 posts we hold for @ton689. 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.
We recorded 1 post on @ton689 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.
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.
The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.
This channel appears in 16 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
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 10 November 2026 — this entry's latest reading, not the date you are reading this.
“海外大事件|曝光|新闻|悬赏|吃瓜” (@ton689), 68,819 subscribers as measured 10 November 2026. Telegram Register, tgregister.com/channel/ton689.
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.