Channel
@SEAFlashCN
On this record: Growth · Engagement · What this channel posts · Posts · Citations · Cite this entry
20subscribers
+0 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1004335041796 |
|---|---|
| Type | Channel |
| Username | @SEAFlashCN |
| Description | 东南亚突发快讯，全天滚动。治安事件、政局变动、交通与天气预警。投稿 @anyou889 |
| Created | Between 1 June 2026 and 11 August 2026— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 11 August 2026 |
| Last confirmed live | 11 August 2026 |
| Measurements held | 2 |
| On Telegram | t.me/SEAFlashCN |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 11 Aug 2026, 15:04 | 20 | no change |
| 6 Aug 2026, 19:52 | 20 | first reading |
9 posts held, back to 11 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 1 pageof 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.
| Window | Rolling 30 days · latest post in window 11 August 2026 |
|---|---|
| Posts held | 9 (11 August 2026 – 11 August 2026) |
| Views total | 9 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 11 Aug 2026, 15:04 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 11 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.
新加坡上调全年增长预期 经济学家称AI驱动扩张信号 新加坡贸工部本周二将2026年经济增长预期上调至4.5%至5.5%，多位经济学家随后跟进调高增长预测。专家认为，这一调整释放出对人工智能相关增长的信心信号，但并不意味着新加坡过度依赖单一技术领域，其他行业同样对整体经济有所贡献。 新加坡今年第二季度经济表现强劲，成为此次上调预期的主要依据。经济学家指出，AI相关产业扩张是推动增长的重要动力，但制造业、金融、旅游等传统板块也在同步复苏，经济结构仍保持多元化。 贸工部在声明中未具体说明各行业贡献比例，但强调增长预期上调基于对全球需求回暖和区域贸易复苏的判断。分析人士预计，后续季度数据将验证这一预测的可持续性。 #东南亚快报 #新加坡 #经济 #AI #增长预期 @SEAFlashCN
马来西亚：朝圣基金14项问题投资7项全损 马来西亚第二财长拿督斯里阿米尔韩沙向国会下议院披露，朝圣基金局（Tabung Haji）14项问题投资中，有7项已确认全部亏损，其中损失最重的一笔与沙特地产公司Al-Rawda Real Estates Development有关。 2015年至2017年间，朝圣基金局与Al-Rawda签订租赁协议，涉及麦地那四家酒店，用于安置马来西亚朝圣者，协议金额达15亿林吉特。阿米尔韩沙表示，Al-Rawda未能提供银行担保，尽职调查也未完成，朝圣基金局仅凭一名个人的书面承诺便达成交易，他未透露该人身份。 Al-Rawda自2019年第一季度起拖欠租金，截至2024年累计造成18.6亿林吉特损失。阿米尔韩沙是在朝圣基金局皇家调查委员会报告总结发言时作出上述表态。 #东南亚快报 #马来西亚 #经济 #投资 #朝圣基金 @SEAFlashCN
沙巴空气受跨境烟霾影响 消防局吁停止露天焚烧 马来西亚沙巴消防与救援局（JBPM）呼吁公众停止露天焚烧，因印尼加里曼丹森林火灾产生的跨境烟霾已开始影响该州空气质量。局长莫哈末·皮萨尔·阿齐兹表示，烟霾已覆盖亚庇（Kota Kinabalu）和基马尼斯（Kimanis）等地区。 阿齐兹称，来自婆罗洲南部和中部的风将浓烟吹向北部，影响沙巴的能见度和空气质量。炎热干燥天气也增加了火灾风险，露天焚烧属违法行为。他呼吁公众共同预防火灾，保护生命、财产和环境。 今日下午空气污染指数管理系统（APIMS）数据显示，沙巴空气质量仍处于中等水平，亚庇读数最高为83，亚庇理工学院为81，基马尼斯为76。阿齐兹表示，尽管读数中等，哮喘患者、儿童和老年人等高风险群体仍需格外防范。 根地咬（Keningau）和必达士（Pitas）截至8月10日已连续七天无降雨，符合露天焚烧禁令标准。禁令涵盖垃圾、干叶、园林废料、建筑废料及其他可能加剧烟霾的物料焚…
马尼拉：COA审计员称教育部机密资金已获核销 菲律宾马尼拉——副总统莎拉·杜特尔特弹劾案庭审第14天，审计委员会（COA）情报与机密资金审计部门国家审计员Xylene del Campo出庭作证，确认教育部（DepEd）机密资金使用已通过COA核销。 Del Campo在控方律师Lorna Kapunan询问下表示，经评估，教育部2023年第一、第二季度机密资金清算符合第2015-01号联合通函规定，已签发贷项通知。该通知在清算文件经评估、确认合规并通过审计后发出。 杜特尔特任教育部长期间的1.125亿比索机密资金曾被COA通过审计观察备忘录（AOM）标记，分三个季度发放，每季度3750万比索。目前前两个季度已获核销，第三季度问题仍在处理中。辩方发言人Michael Poa称，教育部于2024年8月9日收到贷项通知，此事此前在委员会听证会上已多次提及。 众议院弹劾条款第一条聚焦杜特尔特在副总统办公室（OVP）及教育部机密…
菲律宾副总统机密资金案：同日多地发放遭质疑 马尼拉——菲律宾副总统莎拉·杜特尔特弹劾审判进入第14天，控方就机密资金发放程序提出质疑，指其特别 disbursing 官员（SDO）不可能在单日内于全国多地同时发放资金。 私人检察官 Lorna Kapunan 在询问国家审计员 Xylene Mae del Campo 时指出，副总统办公室（OVP）和教育部（DepEd）提交给审计委员会（COA）的收款收据存在明显矛盾。以2023年2月21日为例，多张收据显示同日发放资金，但地点却分布在布拉干、马卡蒂、西内格罗斯、东内格罗斯、宿务、达沃市及北阿古桑省等相距甚远的地区。2023年2月25日、3月15日及8月9日的收据也呈现同样的"单日全国发放"模式。 Kapunan 质疑，除非 SDO 是"超人"，否则不可能在一天内到达所有这些地点。辩方以推测性为由提出反对，主审法官 Chiz Escudero 要求控方继续提问。 审计委员…
新加坡餐馆烹煮野生海产惹议 新加坡合乐轩华宴因替顾客烹煮从樟宜海滩捕捞的野生海产引发争议，餐馆公开道歉并宣布已加强食材采购和接收程序。食品安全专家提醒，部分生物毒素和污染物无法通过烹煮消除。 事件源于一名常在抖音分享捕鱼经历的男子，他成立交流群让公众交换资讯并相约到海滩捕捞。相关视频7月13日被转发至Complain Singapore Facebook页面，画面显示一群人趁退潮时在樟宜海滩捕捞上百只螃蟹、贝类和鱼虾，随后将渔获带到合乐轩华宴处理和烹煮。视频流传后引发关注，不少网民批评捕捞行为，白沙—樟宜集选区议员李乃怡也发文表达关注。 合乐轩华宴在Facebook声明中确认，经内部审查，这些海洋生物确实被带入餐馆并由厨房处理烹煮。餐馆承认接受和处理认可采购渠道以外的食材未达餐饮业者应有标准，为此承担责任并诚恳道歉。餐馆已收紧食材采购和接收管控、加强供应商文件记录和食材追溯机制，禁止未经授权或来源未核实的食材进入厨房，并为…
泰国暂停发放购枪许可 全面审查持枪证 泰国总理阿努廷11日宣布暂停发放购枪许可证，并对现有持枪证展开审查。此前一名14岁枪手在校内开枪致9人死亡。 阿努廷指示负责法律事务的副总理帕功加快推动新枪支管控法，新法将强化管控措施并大幅提高违法处罚力度。警方已接到命令，停止续签允许购枪的许可证。 已登记枪支须存放于家中，不得携带进入公共场所。 @SEAFlashCN
泰国宋卡府一学校因遭解雇外教持枪威胁停课 泰国宋卡府一所中学因一名遭解雇的外籍教师在网上发布持枪威胁言论，被迫暂停线下授课两天。 涉事教师此前在该校任教，遭解雇后于网络发布涉及枪械的威胁内容。校方随即决定暂停现场教学，以保障师生安全。 当地警方已介入调查，正追查该教师下落及威胁言论的具体情况。学校方面尚未公布复课时间及后续安全措施。 @SEAFlashCN
西港星盛娱乐被曝荷官失误引赌客不满 网友爆料称，西港鼎盛娱乐已更名，现对外招牌为星盛娱乐。爆料人反映，赌场内荷官看牌失误，拿到妞妞牌型却未识别，只摆出J大，事后需找主管调取监控回放并追讨赌金，且已过数把牌局。爆料人质疑此类失误应由荷官自行承担赔付。 据描述，同桌赌客因此兴致全无，纷纷停止下注。爆料人表示虽单笔下注金额不大，但体验感差，不会再光顾该赌场，并提醒其他赌客注意避雷。 @SEAFlashCN
Showing the 9 most recent of 9 posts we hold for @SEAFlashCN. 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 — 103,731 of 1,151,006entries 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.
Named by 29 registered channels — 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. The 24 listed below are the most frequent namers; the rest are counted above but not each listed.
Named by
Channels on the register whose posts name this channel's handle.
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 11 August 2026 — this entry's latest reading, not the date you are reading this.
“24 小时东南亚快讯” (@SEAFlashCN), 20 subscribers as measured 11 August 2026. Telegram Register, tgregister.com/channel/SEAFlashCN.
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.