Channel
@sina
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
73,718subscribers
-97 since we began measuring on 6 October 2026
Risers and fallers across the register · movement among entries of 31,623–100,000.
| Telegram ID | -1001918791907 |
|---|---|
| Type | Channel |
| Username | @sina |
| Description | 【聚焦东南亚-新浪头条】 认准频道： @Sina (新浪) 被搬运贴文进行敲诈勒索的，一律与本频道无关！ 新浪大家庭群： @Sinaqun @dajiating 投稿爆料： @sinaxiaobian 小编手机号： +888 00666666 【谨防假冒小编】 |
| Created | Between 1 April 2023 and 31 October 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 October 2026 |
| Last confirmed live | 9 October 2026 |
| Measurements held | 3 |
| Confirmed unchanged | 1 time, most recently 9 October 2026 |
| On Telegram | t.me/sina |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 9 Oct 2026, 20:56 | 73,718 | -97 |
| 6 Oct 2026, 13:22 | 73,815 | no change |
| 6 Oct 2026, 12:47 | 73,815 | first reading |
111 posts held, back to 6 October 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 13 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 25 of 111 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 12 October 2026 |
|---|---|
| Posts held | 111 (6 October 2026 – 12 October 2026) |
| Views total | 4,599 |
| Reactions total | 25 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 12 Oct 2026, 14:14 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 October 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 32 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.
25 reactions across 25 posts, in 2 distinct kinds. The most used accounts for 92.0% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 23 | 92.0% | |
| ❤ | 2 | 8.00% |
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 25 of the 111 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 25 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 111 most recent posts we hold, published 6 October 2026 to 12 October 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.
#新浪头条 #马来西亚 中国女子赴马高薪求职疑遭下药，6万令吉被盗刷，手机还被冒用借钱 10月10日，马来西亚媒体披露，一名30岁中国籍女子通过小红书应征高薪工作，9月中旬抵达马来西亚后，疑似遭人下药，信用卡和微信支付被盗刷约6万令吉，约合10万元人民币。 女子小赵此前看到一则“台资企业主任”招聘广告，对方承诺高薪并包办工作签证，面试流程看起来正规，工作内容也符合她的专业背景。她抵达吉隆坡后，再转往柔佛新山。 小赵在居銮一带活动时，喝下对方提供的饮料后开始神智不清。第二天再次饮用类似饮料后，她一度失去正常判断能力。 之后，她被带往依斯干达公主城、古来和居銮多个地点，身上财物陆续丢失，手机也疑似被人控制。对方还冒充她本人向中国亲友借钱，所幸亲友发现异常，没有继续转账。 小赵后来被遗弃在工厂区附近，获当地民众帮助报警。 9月22日晚，民主行动党明吉摩区州议员徐宝仪接获求助后介入处理。9月23日，小赵在协助下完成口供，并…
#新浪头条 #国内资讯 4岁重庆男子赴云南散心后失联一个多月，最后轨迹疑到缅甸佤邦 10月12日，24岁的重庆男子郑凡赴云南西双版纳旅游后失联一个多月。家属称，警方调查发现，他最后的活动轨迹疑似出现在缅甸佤邦勐波。 9月7日，郑凡请假后乘飞机前往西双版纳景洪市。9月8日白天，他还正常和家人联系，称正在山上拍照游玩，当天之后便彻底失联。 家属表示，景洪警方反馈，郑凡9月8日最后轨迹疑似出现在境外缅甸佤邦勐波，此后再也无法取得联系。郑凡出发时没有携带护照，护照一直留在家中。 更反常的是，郑凡失联后，他的手机号和社交账号仍有人使用。 9月20日，郑凡的手机号曾给姐姐打来电话，响一声后立即挂断。9月22日，对方又发短信让家属不要担心，并要求继续充值话费。 家属后来与对方通话，确认声音并不是郑凡本人。对方自称在缅甸打工，还称郑凡可能已经被卖进园区，并不断打听家属在佤邦有没有熟人，甚至让家属前往缅甸寻找。 对方还登录郑凡的Q…
#新浪头条 #菲律宾 菲律宾新华泰大楼刚刚又被冲了。 菲律宾一些大楼前段时间已经开工了，很多柬埔寨回流过去的。 🔥 订阅新浪头条新闻 ↓ ✅ https://t.me/sina ❗️ 投稿爆料： @sinaxiaobian 👥 新浪大家庭： @dajiating 🔅 赞助商： 搜狐🦊能量频道： @Energy 搜狐🦊供需频道： @SHGX 搜狐🦊NFT频道： @DeWu 搜狐🦊全能助手： @SouHu
#新浪头条 #泰国 泰国23岁学霸佳丽夺全球小姐冠军，创下泰国选美新纪录 10月11日晚，2026年全球小姐总决赛在泰国暖武里府举行，23岁的泰国代表萨芙蓉·玛雅·斯努克一路突围，最终夺下冠军，成为泰国历史上首位获得全球小姐世界总冠军的选手。 美国佳丽Kelly Kirstein获得第一亚军，波多黎各佳丽Bianca Nicole Miranda获得第二亚军，菲律宾佳丽Jayvee Lyn Lorejo获得第三亚军，缅甸佳丽Myo Ma Ma获得第四亚军。 萨芙蓉拥有泰国和英国血统，不仅是选美冠军，学业背景也十分亮眼。她毕业于英国萨塞克斯大学，主修市场营销与管理心理学，并以一等荣誉学位毕业。 她的毕业研究聚焦人工智能如何改变泰国快速消费品行业的市场营销管理，并获得课程最佳研究项目奖。 留学期间，她还曾担任萨塞克斯大学女子足球队队长。进入选美圈前，她参加过泰国模特选秀节目《The Face Thailand》第六季并进…
#新浪头条 #菲律宾 菲律宾makati air公寓检查，已经有内部公告，估计未来两天会公布 未来一周物业要对公寓居住外国人进行签证检查，新的租房合同也要提供长期稳定签证，估计和最近其他国家POGO回流菲律宾有关，其他公寓也快了。 🔥 订阅新浪头条新闻 ↓ ✅ https://t.me/sina ❗️ 投稿爆料： @sinaxiaobian 👥 新浪大家庭： @dajiating 🔅 赞助商： 搜狐🦊能量频道： @Energy 搜狐🦊供需频道： @SHGX 搜狐🦊NFT频道： @DeWu 搜狐🦊全能助手： @SouHu
#新浪头条 #国内资讯 看了我老乡邓总的纪录片，浅谈一点小看法 无论是陈志，还是佘智江、邓丕兵，还有像李雄、刘忍等等，他们在东南亚大干特干的底气，除了因为在当地编织了自认为非常牢靠的保护伞之外，也不得不看到这一点：就是国内一些部门和他们之间可能的联系和接触，让他们产生了一种“我可以被保护、被默许、我是安全的”错觉。 面对国内一些部门的接触，他们往往迷失了，得意忘形了。 可是，殊不知，国内各个条线管各自条线的事儿，各自条线也是为各自条线的业绩、KPI去工作的。 搞侨务的，搞统战的，情报系统的，可能他们会暂时或者选择性忽视你的灰产商人身份，因为你有价值，可以在他们的工作条线上为其创造价值。 所以，他们会和你接触、合作，并给与一定程度的某些支持和承诺。 但是，换到公安系统，又是例外一回事。公安只看你搞没搞诈骗，犯罪没犯罪。没犯罪，不管你；犯罪了，就要想办法抓你。 但你产生了错觉，在那里高呼，“我是某某的人，我为国家也做…
#新浪头条 #越南 越南胡志明“2郡FelizEnVista (Altaz)”正在开展外籍人员例行检查，在这边的兄弟注意！ 🔥 订阅新浪头条新闻 ↓ ✅ https://t.me/sina ❗️ 投稿爆料： @sinaxiaobian 👥 新浪大家庭： @dajiating 🔅 赞助商： 搜狐🦊能量频道： @Energy 搜狐🦊供需频道： @SHGX 搜狐🦊NFT频道： @DeWu 搜狐🦊全能助手： @SouHu
#新浪头条 #马来西亚 沙巴4天连查5个地区，293人被检查、84名外国人被捕 10月11日晚，马来西亚沙巴州移民局公布，10月5日至8日期间，执法人员连续在斗湖、仙本那、山打根、根地咬和古达展开约15次行动。 4天内共检查293人，最终拘留84名涉嫌违反移民法律的外国人。被捕人员以菲律宾籍最多，共51人，其中包括6名儿童；印度尼西亚籍28人，另有3名巴基斯坦籍、1名印度籍和1名越南籍人员。 这轮行动主要针对非法入境、没有合法居留资格和滥用移民许可等问题。被捕人员随后交由沙巴移民部门继续处理。 🔥 订阅新浪头条新闻 ↓ ✅ https://t.me/sina ❗️ 投稿爆料： @sinaxiaobian 👥 新浪大家庭： @dajiating 🔅 赞助商： 搜狐🦊能量频道： @Energy 搜狐🦊供需频道： @SHGX 搜狐🦊NFT频道： @DeWu 搜狐🦊全能助手： @SouHu
👍1
#新浪头条 #缅甸 #妙瓦底 妙瓦底拘留22名非法入境外国人，其中1名中国籍 10月10日报道：缅甸克伦邦妙瓦底地区再有外国人因非法入境被拘留。根据缅甸官方媒体报道，当局于10月9日识别并拘留22名通过非法路线进入妙瓦底周边地区的外国人，其中包括1名中国籍人员。 被拘留人员的国籍分布如下： 中国籍：1人 菲律宾籍：1人 乌干达籍：2人 布隆迪籍：3人 埃塞俄比亚籍：3人 巴基斯坦籍：3人 尼日利亚籍：4人 印度籍：5人 与此同时，缅甸当局将4名涉嫌涉及电信诈骗及其他犯罪活动的泰国籍人员，经缅泰友谊桥一号口岸遣返回泰国，并为其办理相关法律文件。 官方还公布，自2025年1月30日至2026年10月9日，缅甸累计识别并拘留15,293名非法入境外国人，其中14,086人已通过泰国遣返回各自国家。 目前，仍有1,207人等待遣返。其中，485人因涉嫌违反缅甸《移民（紧急规定）法》相关条款及《麻醉药品和精神药物法》受到起诉，…
👍1
#新浪头条 #马来西亚 去马来西亚，千万不要碰刷签！ 所谓刷签，就是快到停留期限，出境绕一圈再重新入境，以此变相拉长停留时间。 吉隆坡机场移民局对这种操作查得特别严。一旦被判定刷签滥用免签政策，直接带去机场小黑屋盘问审查。 轻则拒绝入境当场遣返，护照打上拒入记录；重则直接挂上马来西亚黑名单，几年甚至永久不准再踏入马来西亚境内。 很多人听信中介刷签可以长期待在大马，最后被困小黑屋，花钱也很难解决。免签是给旅游短期停留，不要钻空子投机取巧。需要长期居留，一定要办理正规合法手续。 🔥 订阅新浪头条新闻 ↓ ✅ https://t.me/sina ❗️ 投稿爆料： @sinaxiaobian 👥 新浪大家庭： @dajiating 🔅 赞助商： 搜狐🦊能量频道： @Energy 搜狐🦊供需频道： @SHGX 搜狐🦊NFT频道： @DeWu 搜狐🦊全能助手： @SouHu
👍1
#新浪头条 #国内资讯 网上冒出“金色社保卡”：花钱升级医保、领养老补贴都是骗局 10月12日，官方提醒，近期网上流传一种所谓“社保卡金卡”，有人宣称办理后可以提高医保报销待遇、领取养老补贴，还能享受免费文旅福利。 还有人冒充人社部门工作人员，以“办理金卡”“发放补贴”为名联系市民，索要个人信息，甚至诱导转账。 人社部门明确表示，全国现行社保卡根本没有“金卡”“银卡”这种等级分类，也不存在换成金色卡片后，社保待遇就更高的规定。 实体社保卡由人社部门联合合作银行统一制发，不能花钱升级，更不能通过所谓“代办金卡”提高医保报销比例或领取额外补贴。 这类骗局为了增加可信度，还会伪造中央一号文件截图、仿冒人社部门网站页面，甚至制作假工作证，用“养老资金发放”“专项补贴”等名义骗取信任。 正规社保卡虽然部分地区会在卡面加入地方特色设计，但芯片、核心功能和社保待遇并不会因为颜色不同而发生变化。 办理社保卡，应通过社保经办窗口、…
👍1
#新浪头条 #柬埔寨 德崇国际机场查获逾48公斤大麻 抓获两名外籍旅客 10月5日，柬埔寨海关与移民局警察在德崇国际机场离境航站楼联合查获两起涉毒案，共截获藏匿于行李箱中的干大麻85包，总重48,158克，并逮捕两名外籍旅客。 其中，首起案件于上午8时35分查获大麻46包（重23,046克）；第二起于晚间20时05分查获大麻39包（重25,112克）。 目前，嫌犯及涉案毒品均已移交禁毒警察局依法处理。 🔥 订阅新浪头条新闻 ↓ ✅ https://t.me/sina ❗️ 投稿爆料： @sinaxiaobian 👥 新浪大家庭： @dajiating 🔅 赞助商： 搜狐🦊能量频道： @Energy 搜狐🦊供需频道： @SHGX 搜狐🦊NFT频道： @DeWu 搜狐🦊全能助手： @SouHu
Showing the 12 most recent of 111 posts we hold for @sina. 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 10 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.
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 9 October 2026 — this entry's latest reading, not the date you are reading this.
“新浪头条新闻🔝聚焦东南亚大事件 认准： @sina” (@sina), 73,718 subscribers as measured 9 October 2026. Telegram Register, tgregister.com/channel/sina.
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.