#新浪头条 #柬埔寨 巴域市政府工作人员前往市中心一处公寓开展行政检查。 🔥 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

Channel
新浪头条新闻🔝聚焦东南亚大事件 认准: @sina
@sina
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
73,564subscribers
-251 since we began measuring on 6 October 2026
Risers and fallers across the register · movement among entries of 31,623–100,000.
Register entry
| Telegram ID | -1001918791907 |
|---|---|
| Type | Channel |
| Username | @sina |
| 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 | 16 October 2026 |
| Measurements held | 7 |
| Confirmed unchanged | 1 time, most recently 16 October 2026 |
| On Telegram | t.me/sina |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 16 Oct 2026, 19:31 | 73,564 | -21 |
| 15 Oct 2026, 20:00 | 73,585 | -34 |
| 14 Oct 2026, 23:30 | 73,619 | -33 |
| 13 Oct 2026, 15:27 | 73,652 | -66 |
| 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 |
Engagement
194 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 21 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 0.056%
- avg views ÷ 73,564 subscribers
- Avg views / post
- 41.0
- 194 posts measured
- Reaction rate
- 2.54%
- reactions ÷ views · ER floor
- Posts in window
- 194
- of 194 held
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 42 of 194 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 16 October 2026 |
|---|---|
| Posts held | 194 (6 October 2026 – 16 October 2026) |
| Views total | 7,947 |
| Reactions total | 42 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 16 Oct 2026, 14:56 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.
What this channel posts
- Video runtime
- 2h 51m
- Average length
- 3m 39s
Measured directly from 47 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.
Reaction mix
42 reactions across 42 posts, in 2 distinct kinds. The most used accounts for 92.9% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 39 | 92.9% | |
| ❤ | 3 | 7.14% |
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 42 of the 194 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 42 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 194 most recent posts we hold, published 6 October 2026 to 16 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.
Recent posts
#新浪头条 #菲律宾 180多名中国华文教师出于安全考虑离开菲律宾,我大使发声:反华势力何其卑劣、让人鄙视 据中国驻菲律宾大使馆微信公众号消息,10月13日,井泉大使出席菲律宾亚典耀大学孔子学院建院20周年庆典并发表讲话。 他指出,人文交流是中菲关系根基所在。一段时间以来,菲反华势力掀起一股股反华声浪,却占不到任何便宜,近来竟然将黑手伸向华文教育,污蔑这是中国的“统战工作”和“政治渗透”,完全是无稽之谈、胡说八道。令人遗憾的是,有180多名中国华文教师出于自身安全考虑不得不离开菲律宾,这让我们看到反华势力是何其卑劣,是多么让人鄙视。这些人的所作所为逆历史潮流而行,其图谋绝不会得逞。希望相关大学、孔院、华校、华社一定要坚定信心,不要被恐吓威胁吓倒,坚定不移去做正确的事情,大力促进中菲在文化、教育、人文领域的交流,让两国关系稳下来,让两国人民更加走近,这符合两国人民的共同愿望。中国使馆会一如既往提供力所能及的支持与帮助。 据…
#新浪头条 #缅甸 掸邦白虎党主席呼吁中国推动MNDAA、TNLA撤出相关城镇 2026年10月16日,掸邦白虎党主席赛艾蓬表示,他已建议中国推动缅甸民族民主同盟军(MNDAA)和德昂民族解放军(TNLA)撤出南坎、贵概、腊戍,(外围)南渡、马宾、滚弄等城镇,恢复政府管辖,以打通曼德勒至木姐的公路。 他于10月13日在仰光与中国共产党代表团会面时提出这一建议,并称该公路已中断近3年。中方回应称会记录并向上级汇报。 赛艾蓬认为,公路恢复通行后,将促进中缅贸易、增加就业,并有助于降低商品价格。 🔥 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 #菲律宾 在菲律宾的华人同胞注意了,最近感觉菲律宾当局针对华人的检查越来越频繁,不管是在街上还是家里,都要多留个心眼。 一些华人聚集区经常遭到检查,有工厂工人被拘留数日,不交钱就不放人。偏远地区的情况更加严重,甚至有人睡觉时被带走查身份,让人怀疑是在借执法敛财。 更让人不满的是执法双重标准。华人超市查出少量过期商品,就可能面临重罚,而本地商家类似问题却很少受到处罚,连菜市场使用化学药剂保鲜的问题也长期缺乏监管。 最近,马尼拉以外不少华人商家选择关店离开。马尼拉的海景花园、泛伦娜广场等商业区也经常遭到检查,一些华商和游客因此被拘留罚款,还有人反映个人财物遭没收、手机被刷机。 华人在菲律宾投资、做生意,创造了不少就业机会和税收,却还要面对这样的待遇。如果越来越多华商离开,对菲律宾经济又有什么好处? 我觉得当地华人最大的问题还是不够团结,遇到不公平的事情,缺少能够站出来维护大家权益的人。 希望在菲律宾的华人同…
#新浪头条 #柬埔寨 柬越警界高层举行年度会议 加强边境禁毒执法合作 10月15日下午,柬埔寨与越南警界高层在越南胡志明市举行年度合作会议,讨论预防和打击各类犯罪及毒品犯罪,并总结柬越边境禁毒宣传、突击行动及执法成果。 会议由柬埔寨国家警察总署总监苏通上将与越南公安部副部长阮文龙中将共同主持。双方围绕加强跨境执法协作、预防和打击毒品犯罪等议题展开交流,并总结边境禁毒专项行动的实施成果,旨在深化柬越两国执法部门合作,共同维护边境安全与社会秩序。 🔥 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 #国际新闻 老挝金三角最黑的鑫城园区 遭清剿后诈尸 两名中国男子刚冲出鑫城园区大铁门 惨遭保安骑车追截当场抓回 据在老挝金三角特区的当地网友最新实名报料:曾被大批执法力量重兵包围清剿的“最黑”鑫城园区,眼下非但没有真正关停,反而玩起了更阴险的瞒天过海。自从去年遭遇联合执法严打之后,整个园区开始变得悄无声息,平时从外面往里看,各栋大楼到了晚上黑灯瞎火、几乎看不到亮灯痕迹 然而实际上,大门处的嚣张跋扈的十几名保安只是从过去的大门外侧高调驻守,悄悄挪到了大门内侧的隐蔽死角一旦出现风吹草动立刻扑出抓人 更惊险的一幕就在这层伪装下当场戳穿:两名年轻的中国小伙子突然拼了命从园区大铁门内冲出来,慌不择路地扑向路边一辆出租车拉门求生;然而还没等两人坐稳,门内暗处潜伏的两名保安直接骑着大马力摩托车轰油门追杀而至,当场横车截断退路,在众目睽睽之下硬生生将两人粗暴拽下出租车,直接拖回园区大门深处!目击者惊骇直言,在如今的严打风声下,…
#新浪头条 #国内资讯 香港警方通报 WhatsApp 账户遭劫持案件,某虚拟货币兑换公司损失逾 400 万港元 据香港警方「守网者」平台公布,过去两周其共接获逾 150 宗 WhatsApp 账户劫持诈骗案件,总损失逾 1500 万港元。 近期一名从事虚拟货币兑换业务的本地公司职员账户被诈骗者劫持。对方封锁原工作群组并将成员加入黑名单,并伪造了一个复制图片、名称、成员及头像的新群组。 诈骗者假扮客户代表提出虚拟货币兑换要求,职员按惯例将加密货币汇至指定钱包并从客户账户扣款,直至发现客户钱包余额不足并电话核实后才发觉受骗,公司最终损失逾 400 万港元。 🔥 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…
#新浪头条 #国际新闻 如果伊朗再袭击,阿联酋会怎么办?这位官员的回答很直接 阿联酋一位高级官员周四把话挑明了:如果伊朗再次发动袭击,阿联酋将采取一切必要措施来保护其主权、国家安全及人民。这意味着,在应对来自德黑兰的威胁时,阿联酋保留了采取任何行动的选项。 在迪拜举行的“阿联酋记者圆桌会”(UAE Correspondents‘ Majlis)上,阿联酋联邦国民议会(FNC)国防、内政与外交委员会主席阿里·拉希德·努埃米(Ali Rashid Al Nuaimi)博士被问及“如果伊朗再次发动袭击,阿联酋是否会做出回应”。他的回答很明确。 当被进一步追问这是否包括对伊朗袭击采取回应时,他说:“一切手段(都在考虑范围内)。” 🔥 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: @Energ…
#新浪头条 #国内资讯 女演员扬子佳自曝差点被骗出境!骗子以邀请演出为名设局 10月15日,据相关媒体报道,演员扬子佳近日自曝,自己曾险些被人以邀请演出为名诱骗出境,所幸她保持警惕,通过核查对方公司资质及合同信息,及时发现异常,最终识破骗局。 据报道,对方以演出活动邀约为由与扬子佳取得联系,试图利用看似正规的合作机会降低她的戒心。扬子佳在与对方沟通、核查相关资料的过程中,发现合同中的公司名称存在错别字等异常情况,随后对邀约产生怀疑,并果断拒绝。 事件曝光后,引发网友关注。有媒体将此事与境外诱骗风险联系起来,提醒演艺从业者提高警惕,谨慎对待来源不明的境外演出、拍戏及商业合作邀约。 近年来,虚假剧组招聘、境外演出邀约等诱骗手段屡有曝光。2025年1月,演员王星曾因虚假拍戏通告被骗至缅甸妙瓦底,后在中泰警方协作下获救。相关案件也再次提醒公众,面对境外工作或演出机会,务必提前核实邀请方身份、公司资质、合同内容及实际活动地点,切…
#新浪头条 #国内资讯 砸金蛋保底200万竟是骗局 上千老人被骗超千万元 10月15日,央视曝光一起专门针对老年人的直播诈骗案。犯罪团伙利用AI短视频宣传高价回收旧钱币,再把老人拉进私人直播间,通过虚假鉴宝、认干亲、送养老金和砸金蛋等套路,一步步骗走老人的积蓄。 一名老人收藏的30张一角纸币,被主播开出150万元高价。随后,主播主动认她当“干妈”,承诺赠送30万元养老金,却先要求缴纳5000元保证金。 取得信任后,主播又推出砸金蛋活动,宣称每颗金蛋保底能中200万元现金或等值藏品,但必须先花1.8万元购买指定商品。老人付款后,砸中了所谓的高价和田玉,收到的却是廉价工艺品。 警方调查发现,直播间的百万大奖全是骗局。金蛋底部藏有小孔,团伙趁镜头移开时塞入提前准备的中奖纸条,让托儿砸中现金大奖,再用伪造的转账画面制造奖金到账的假象。真正花钱的老人只能砸中廉价藏品。 武汉警方于8月11日和28日两次集中收网,共抓获81名犯罪…
#新浪头条 #柬埔寨 #西港 西港“珍珠城物业”有移民局警察,附近的兄弟该撤离就撤离! 🔥 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 #柬埔寨 德崇国际机场候机楼,真是一个干干净净、空空荡荡。 🔥 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 194 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.
Mentions
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.
@novintandis · 1593 postsحمید طاهری دره شوری( جانبازلو)
@Hamid_taheri_dareshuri · 1142 postsBekiram
@bekiram_baby · 114,6131 postدوات پایگاه خبری_تحلیلی فرهنگی،هنری و ادبی Davat News-Analytical Base Cultural, Artistic, and Literary
@davat1394 · 2991 postfarzad.andalibi فرزاد.عندلیبی
@farzadandalibimusic · 4181 postخداوندگار عشق
@khodavandegareshgh · 27,4921 postMakhoola
@Makhoola · 4,0731 post「 𝑹𝒙𝑵𝒈𝒉 𝑪𝒉𝒂𝑵𝒏𝒆𝑳 」
@rxnghchannel · 501 postسین مثل سیاهکل
@Siyahkal · 521 post🎖️东南亚新闻头条🎖️
@xwTT55 · 30,6181 post
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.
Cite this entry
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 16 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), 73,564 subscribers as measured 16 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.