Channel
@SEABulletinCN
On this record: Growth · Engagement · Posts · Citations · Cite this entry
21subscribers
+1 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1004473103065 |
|---|---|
| Type | Channel |
| Username | @SEABulletinCN |
| 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 | 15 August 2026 |
| Measurements held | 3 |
| Confirmed unchanged | 1 time, most recently 15 August 2026 |
| On Telegram | t.me/SEABulletinCN |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 15 Aug 2026, 15:33 | 21 | +1 |
| 11 Aug 2026, 15:16 | 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, 15:16 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.
新加坡上调全年增长预期 专家称AI驱动扩张信号 新加坡贸工部将2026年国内生产总值增长预测上调至4.5%至5.5%，多位经济学家随后上调对该国经济增长预期。专家表示，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，成为此次预测上调的直接背景。贸工部于周二公布最新预测数据，较此前区间有所提高。经济学家指出，AI相关产业扩张是推动增长预期上修的重要因素，但制造业、金融服务业及贸易物流等传统支柱板块也在同步支撑经济。 分析人士认为，此次上调反映出新加坡经济结构多元化特征，AI技术应用带来的生产率提升正逐步扩散至多个行业。官方数据与专家判断均显示，增长动力并非集中于单一赛道，各领域协同效应明显。 #东南亚播报 #新加坡 #经济 #AI #增长预测 @SEABulletinCN
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项造成全部亏损，其中损失最大的一笔与沙特地产公司Al-Rawda Real Estates Development有关。 2015年至2017年间，朝圣基金局向Al-Rawda支付15亿林吉特，用于租赁麦地那四家酒店，安排马来西亚朝圣者住宿。阿米尔韩沙表示，Al-Rawda未提供银行担保，也未完成全面尽职调查，朝圣基金局仅凭一名个人的书面承诺即达成交易，该人士身份未予公开。 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。上述问题投资由皇家调查委员会（RCI）识别，阿米尔韩沙在国会总结辩论时作出上述说明。 #东南亚播报 #马来西亚 #朝圣基金 #投资亏损 #沙特 #国会 @SEABulletinCN
沙巴消防促停露天焚烧应对跨境烟霾 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沙巴州空气质量。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。 皮萨尔指出，来自婆罗洲南部和中部的风将浓烟吹向婆罗洲北部，影响沙巴的能见度和空气质量。炎热干燥天气也增加火灾风险，露天焚烧属违法行为，呼吁公众共同预防火灾，保护生命、财产和环境。 根据空气污染物指数管理系统（APIMS）当天下午数据，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。皮萨尔提醒哮喘患者、儿童和老人等高风险群体加强防护。 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、建筑废料等可能加剧烟霾的焚烧行为。公众被建议在上午11时至下…
菲律宾：审计署已结清教育部机密资金问题 马尼拉——副总统莎拉·杜特尔特弹劾案审理进入第14天，辩方在质询审计署（COA）证人时获得关键材料。审计署情报与机密资金审计组国家审计员德坎波当庭确认，教育部（DepEd）2023年第一、第二季度共7500万比索机密资金的使用已通过合规审查，并已向教育部发出贷项通知。 德坎波在作证时表示，经评估，相关清算文件符合第2015-01号联合通函规定，文件齐全且已通过审计。辩方发言人波亚称，教育部于2024年8月9日收到贷项通知，辩方此前在国会听证会上已多次提及此事。 杜特尔特担任教育部长期间共获批1.125亿比索机密资金，分三个季度发放，每季度3750万比索。审计署此前通过审计观察备忘录对资金使用提出质疑，目前前两季度已获澄清，第三季度问题仍在处理中。 弹劾案第一条指控聚焦杜特尔特在副总统办公室（OVP）及教育部任内涉嫌滥用机密资金。审计署已否决副总统办公室2022年7300万比索及20…
菲律宾副总统机密资金案 检方质疑同日多地发放 马尼拉——菲律宾副总统莎拉·杜特尔特弹劾案庭审中，检方质疑其特别支出官（SDO）如何在同一天内于菲律宾多地发放机密资金，并援引“超人”作比喻，指认相关签收收据疑点重重。 8月11日庭审中，私人检察官洛娜·卡普南对审计署审计师泽琳·梅·德尔坎波进行直接询问，审查副总统办公室（OVP）及教育部（DepEd）提交给审计署的机密资金签收收据。卡普南指出，多张收据显示于2023年2月21日同一天签发，但地点却分散在布拉干、马卡蒂、西内格罗斯、东内格罗斯、宿务、达沃市及北阿古桑等地，物理上难以实现。类似“同日全国发放”模式还出现在2023年2月25日、3月15日及8月9日的收据中。 卡普南质疑，若收据属实，副总统办公室及教育部的支出官如何能在同一天于多地同时发放现金。若要解释这一情况，则需承认违反了政府联合通令——该通令规定仅指定的特别支出官可发放机密及情报资金。辩方以“推测性”为由提出反…
新加坡餐馆代客烹煮海滩捕捞海产引争议 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加强食材采购与接收程序。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，他创建交流群让公众交换信息并相约到海滩捕捞。相关视频7月13日被转发至Complain Singapore Facebook，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，相关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非认可采购渠道食材未达餐饮业者标准，表示承担责任并诚恳道歉。餐馆已加强内部程序，包括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…
泰国暂停发放购枪许可 泰国总理阿努廷11日宣布暂停发放购枪许可证，并称将重新审查现有持枪执照。此前一名14岁枪手在暖武里府一所学校开枪致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，新法将加强管控并大幅提高处罚力度。警方已接到命令，停止续签允许购买枪支的许可证。已登记枪支须存放家中，不得携带进入公共场所。 枪击事件发生后，民众在事发学校外摆放鲜花和遇难教师及学校官员的照片以示哀悼。 #东南亚播报 #泰国 #社会 #治安 #突发 @SEABulletinCN
泰国宋卡府一中学因遭解聘外教网上发枪击威胁停课两日 泰国宋卡府（Songkhla）一所中学因一名遭解聘的外籍教师在网上发布持枪威胁，被迫暂停线下授课两天。 涉事教师此前已被校方解聘，随后在网络上发布与枪支相关的威胁言论。校方与当地警方评估风险后，决定临时关闭校园，暂停面对面教学，以确保师生安全。 目前警方已介入调查，正追查该名教师的行踪及威胁言论的具体内容。校方尚未公布复课后的额外安保措施。 #东南亚播报 #泰国 #治安 #社会 #突发 @SEABulletinCN
西港鼎盛娱乐更名星盛娱乐 网友投诉荷官失误拒赔 西港一家赌场近日被网友爆料，原“鼎盛娱乐”已更名为“星盛娱乐”，招牌同步更换。爆料者称，现场荷官在看牌环节出现失误，玩家拿到“妞妞”牌型却未被识别，荷官未正确看牌，导致牌局结果存疑。 据描述，涉事荷官将大牌摆成J大，玩家发现后要求查看监控回放并追讨赌金，但此时已过去数把牌局。爆料者质疑，此类失误本应由荷官自行承担赔付责任，但现场处理并未令玩家满意。整桌玩家因此兴致全无，陆续停止下注，场面一度冷清。 爆料者表示，该赌场下注金额虽不大，但处理方式令顾客体验极差，并提醒其他玩家谨慎选择，避免影响心情。目前该事件仍在网络发酵，赌场方面暂未公开回应。 @SEABulletinCN
Showing the 9 most recent of 9 posts we hold for @SEABulletinCN. 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 — 111,063 of 1,481,306entries 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 26 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 15 August 2026 — this entry's latest reading, not the date you are reading this.
“南洋播报 东南亚民生” (@SEABulletinCN), 21 subscribers as measured 15 August 2026. Telegram Register, tgregister.com/channel/SEABulletinCN.
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.