#马来西亚资讯:马来西亚移民局通报,9月27日突击检查吉隆坡旧巴生路一家娱乐场所,当场扣查4名外籍男子,其中3名中国籍、1名菲律宾籍,年龄21至31岁。 4人受检时均无法出示合法旅行证件或有效居留准证,随后被带往布城移民局进一步调查。此次行动由移民局总部情报与特别行动部门执行,国家反毒机构配合。 调查显示,该娱乐场所自2025年起营业,主要安排外国人进行表演。另有3名马来西亚男子被通知前往移民局协助调查。 ✔️关注大事件频道 @Q22222 ✉️投稿 @jpz35
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Channel
@q22222
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Posts edited after publishing · Citations · Cite this entry
159,107subscribers
+44,625 since we began measuring on 12 August 2026
Risers and fallers across the register · movement among entries of 100,000–316,228.
| Telegram ID | -1001366757094 |
|---|---|
| Type | Channel |
| Username | @q22222 |
| Description | #东南亚大事件 #柬埔寨 #泰国 #菲律宾 #缅甸 #斯里兰卡 #马来西亚 东南亚大事件频道专注报道华人社区热点,包括文化、经济、社会事件,以及东南亚地区的最新动态,每日更新,订阅我们,第一时间掌握华人世界脉动! 投稿机器人 @Q22222Bot |
| Created | Between 1 April 2018 and 31 August 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 12 August 2026 |
| Last confirmed live | 18 September 2026 |
| Measurements held | 28 |
| Confirmed unchanged | 1 time, most recently 18 September 2026 |
| On Telegram | t.me/q22222 |
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 12 August 2026 and assigned it the closest of 31 fixed categories, at 54% 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.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 18 Sept 2026, 01:19 | 159,107 | +8,900 |
| 15 Sept 2026, 19:59 | 150,207 | +14,609 |
| 14 Sept 2026, 00:18 | 135,598 | +7,808 |
| 12 Sept 2026, 05:58 | 127,790 | +7,945 |
| 10 Sept 2026, 02:21 | 119,845 | +7,393 |
| 6 Sept 2026, 17:40 | 112,452 | -6,797 |
| 4 Sept 2026, 07:59 | 119,249 | -1,347 |
| 2 Sept 2026, 22:40 | 120,596 | -372 |
| 1 Sept 2026, 20:44 | 120,968 | -215 |
| 31 Aug 2026, 21:47 | 121,183 | -58 |
| 30 Aug 2026, 19:57 | 121,241 | -325 |
| 29 Aug 2026, 19:56 | 121,566 | -319 |
| 28 Aug 2026, 22:09 | 121,885 | -935 |
| 28 Aug 2026, 01:07 | 122,820 | +971 |
| 26 Aug 2026, 23:35 | 121,849 | +9,348 |
| 25 Aug 2026, 21:43 | 112,501 | -1,419 |
| 25 Aug 2026, 00:34 | 113,920 | -114 |
| 23 Aug 2026, 09:57 | 114,034 | +2,327 |
| 21 Aug 2026, 21:28 | 111,707 | -23,634 |
| 20 Aug 2026, 17:07 | 135,341 | first reading |
1,144 posts held, back to 12 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 91 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 661 of 699 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 27 September 2026 |
|---|---|
| Posts held | 1,144 (12 August 2026 – 27 September 2026) |
| Views total | 2,950,080 |
| Reactions total | 7,676 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 27 Sept 2026, 09:15 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 27 September 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 302 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.
10,224 reactions across 856 posts, in 19 distinct kinds. The most used accounts for 14.0% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 1,436 | 14.0% | |
| 👍 | 1,134 | 11.1% | |
| 🥰 | 1,134 | 11.1% | |
| 🔥 | 1,103 | 10.8% | |
| ❤🔥 | 1,101 | 10.8% | |
| 🤩 | 1,095 | 10.7% | |
| 🎉 | 1,070 | 10.5% | |
| 💯 | 1,068 | 10.4% | |
| 😍 | 1,060 | 10.4% | |
| 🤣 | 7 | 0.068% | |
| 👎 | 3 | 0.029% | |
| 😁 | 3 | 0.029% | |
| 🤮 | 3 | 0.029% | |
| 💩 | 2 | 0.02% | |
| ⚡ | 1 | 0.01% | |
| 👀 | 1 | 0.01% | |
| 👏 | 1 | 0.01% | |
| 🤓 | 1 | 0.01% | |
| 🤔 | 1 | 0.01% |
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 869 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 10,224 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 18 August 2026 to 27 September 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.
#马来西亚资讯:马来西亚移民局通报,9月27日突击检查吉隆坡旧巴生路一家娱乐场所,当场扣查4名外籍男子,其中3名中国籍、1名菲律宾籍,年龄21至31岁。 4人受检时均无法出示合法旅行证件或有效居留准证,随后被带往布城移民局进一步调查。此次行动由移民局总部情报与特别行动部门执行,国家反毒机构配合。 调查显示,该娱乐场所自2025年起营业,主要安排外国人进行表演。另有3名马来西亚男子被通知前往移民局协助调查。 ✔️关注大事件频道 @Q22222 ✉️投稿 @jpz35
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泰国曼谷机场遭遇洪水 9月26日,曼谷机场附近发生洪水,部分区域积水严重,现场一片“水世界”。 近期前往曼谷的旅客,请提前关注天气和道路情况,注意安全。 ✔️关注大事件频道 @Q22222 ✉️投稿 @jpz35
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#群友投稿:斯里兰卡4月2日尼甘布153人案 我们是11团队成员,已等待半年,等开庭、调查和最终结果。多数人无钱请律师,也无力走关系。案件到现阶段,不能再沉默等待。若结果不利,普通人该怎么办? 现在应团结,把大家的情况、诉求和困难整理清楚,通过合法合理方式向法院及相关部门反映,至少不再独自面对。10月20日将至,已等半年,耗不起了。希望4月2日案件兄弟们联系、团结,无论结果如何,一起面对、依法争取权益。没有钱,但不能没有声音;没人管,也不能放弃权益。 若10月20日仍解决不了,不如让案件尽快定案推进,请难兄难弟不再观望。 ✔️关注大事件频道 @Q22222 ✉️投稿 @jpz35
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菲律宾新闻 菲移民局便衣突击抓捕曝光:先踩点后上门控制 近日,一段菲律宾执法抓捕视频引发关注。移民局便衣提前到门店暗访取证,随后突袭,进店上楼控制相关人员,并带至店外现场取证。 近期,菲移民局、NBI及警方联合执法趋增,重点查非法滞留、无证居留及涉嫌违法经营。在菲工作经商者,签证、工签和实际任职信息须一致;经中介求职要警惕“高薪”“包签证”,避免因身份手续问题被查。 在菲生活经营,证件手续宜提前确认合规。 ✔️关注大事件频道 @Q22222 ✉️投稿 @jpz35
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斯里兰卡资讯:机场截获3.2万支走私香烟,两名中国男子被捕 9月27日,科伦坡班达拉奈克国际机场查获一起走私香烟案,两名中国籍男子被捕,行李中共查出3.2万支外国香烟。 警方称,缉毒局对两名入境旅客检查时,分别从36岁和56岁中国男子行李中查获1.4万支、1.8万支香烟。 合计160条、3.2万支。两人因涉嫌未申报入境被控制,案件已交卡图纳亚克机场相关部门调查,警方正追查香烟来源及入境目的。 ✔️关注大事件频道 @Q22222 ✉️投稿 @jpz35
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#网友爆料:缅甸掸邦北部木姐大桥关卡过后,半砍街子右拐,通往旧金山赌场酒店旧址,藏有大量中国籍人员从事中国盘诈骗。 内部约200名中国人、400名缅华;中国人当枪手,缅华做拉手,项目为跑粉,借微信、抖音、快手、白条、头条接触国内老年人行骗。 中国籍人员被指嚣张,拖欠工资,诱骗木姐缅华参与诈骗国内人,干一个多月不发工资且不让离开。 地点在旧金山和老宾馆,背后是傣族武装北掸邦军(SSPP-SSA-N),诈骗点也是该武装在木姐半砍的总部。 爆料称当地傣族因经济提升而偏袒这些诈骗犯。希望木姐和瑞丽防诈中心尽快行动端掉他们! ✔️关注大事件频道 @Q22222 ✉️投稿 @jpz35
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#群友投稿:23年搬到西港七星海,24年下半年这批狗推赚到了钱。 当时手里大量美金要换人民币。阿亮说认识靠谱兑换,汇率也高。我轻信了,和几个兄弟找他换,最后全被冻结。 阿亮自己跑回国,一直不处理。老家派出所来电,说我们在名单上,要我们回去! 现在没收入也没钱!你肯定能看到:再不处理,我就不回国。我实名举报你,身份信息我都有,大不了鱼死网破! ✔️关注大事件频道 @Q22222 ✉️投稿 @jpz35
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#群友投稿:小心新型盗U套路! 骗子跑到 YouTube 发教程,借 Claude 名义教人搭 AI 加密货币交易机器人。 这种骗局和传统钓鱼不同:不丢链接,让你自己动手把钱包资产送出去。没有钓鱼链接,全程诱导受害者亲手转账。 他们批量发视频,用 AI 虚拟主播配音,宣称靠 Claude 大模型能一键生成自动套利机器人,开机就赚、保本稳赚。 操作链条 1. 视频演示复制代码,再到仿冒的合约编译站部署智能合约。 2. 编译站由骗子控制,粘贴的正常代码会被偷换成盗币代码;页面看着干净,上链的却是盗币合约。 3. 受害人按教程把币打进合约钱包,并自己确认授权。无钓鱼链接、无私钥泄露,全是本人操作,常规反诈工具很难拦。 4. 钱进合约后,只要点启动或提现,资产就自动流向骗子收款地址。 案件数据 TRM Labs 发现,9 条同类 YouTube 视频已骗 224 人,共盗 274.6 枚以太坊,按当时价格约 51.7 万美元,人…
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#网友反馈:越南胡志明平阳新服装厂路口,突现大批警察,路口已被封锁,现场动静很大。具体原因暂未公布。 ✔️关注大事件频道 @Q22222 ✉️投稿 @jpz35
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Showing the 12 most recent of 1,144 posts we hold for @q22222. 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.
@q22222 edited 1 post after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.
An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.
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.
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 18 September 2026 — this entry's latest reading, not the date you are reading this.
“东南亚大事件” (@q22222), 159,107 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/q22222.
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.