#柬埔寨新闻 湄公河试航酿惨剧 新造木船沉没致三少年失踪 干丹省基恩斯瓦伊县8月15日发生沉船事故,一艘新造木船在湄公河试航期间因水流湍急及突发巨浪翻覆。船上10名乘客均为当地居民,年龄介于14至26岁之间,其中7人因会游泳成功逃生,另有3名14至15岁男性少年下落不明。船主表示,当日遇难者多次请求下水测试,其最终同意,未料航行仅数十米即遭遇险情。目前政府已组织搜救队伍展开搜寻,并正就船只安全性能及事故责任进行调查。遇难者家属及当地社区正焦急等待救援进展。 😁😃😊 『但愿世间安稳,山河无恙,众生平安』 赞助商广告 ✅ 豆豆加速器|一键回国专线,稳定低延迟 😀😀😀😀😀😀😀😀😀😀 订阅最新新闻(吃瓜 曝光)频道👇 🔗 t.me/addlist/Uu1ROQ8VKbcwOWFh 防失联导航: @wuyoudaohang ➡️ 投稿联系: @XLJ05⛔

Channel
Telegram新闻头条
@AiNi521314
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
51,955subscribers
-34,215 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 31,623–100,000.
Register entry
| Telegram ID | -1002279646835 |
|---|---|
| Type | Channel |
| Username | @AiNi521314 |
| Description | 📮商务/投稿: @XLJ05 #东南亚 #菲律宾 #柬埔寨 #缅甸 #交流群 #曝料 #吃瓜 #大事件曝光 #头条 #热点 #资讯 #新闻 |
| Created | Between 1 September 2024 and 31 March 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 17 August 2026 |
| Measurements held | 10 |
| Confirmed unchanged | 1 time, most recently 17 August 2026 |
| On Telegram | t.me/AiNi521314 |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 17 Aug 2026, 14:09 | 51,955 | -763 |
| 16 Aug 2026, 08:28 | 52,718 | -67 |
| 14 Aug 2026, 19:46 | 52,785 | -30,745 |
| 13 Aug 2026, 07:36 | 83,530 | -125 |
| 12 Aug 2026, 04:14 | 83,655 | -161 |
| 11 Aug 2026, 04:06 | 83,816 | -168 |
| 10 Aug 2026, 06:07 | 83,984 | -1,898 |
| 9 Aug 2026, 03:52 | 85,882 | -210 |
| 8 Aug 2026, 05:37 | 86,092 | -78 |
| 7 Aug 2026, 15:01 | 86,170 | first reading |
Engagement
137 posts held, back to 7 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 26 pagesof Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 2.69%
- avg views ÷ 51,955 subscribers
- Avg views / post
- 1,400
- 137 posts measured
- Reaction rate
- 0.071%
- reactions ÷ views · ER floor
- Posts in window
- 137
- of 137 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 3 of 137 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 17 August 2026 |
|---|---|
| Posts held | 137 (7 August 2026 – 17 August 2026) |
| Views total | 191,490 |
| Reactions total | 3 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 17 Aug 2026, 23:33 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
- Photos
- ≈12,800
- Videos
- ≈1,330
- Links
- ≈1,730
Lifetime counters from Telegram’s own channel header, read 17 August 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.
- Video runtime
- 1m 40s
- Average length
- 50s
Measured directly from 2 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
3 reactions across 3 posts, in 2 distinct kinds. The most used accounts for 66.7% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 💯 | 2 | 66.7% | |
| 🔥 | 1 | 33.3% |
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 3 of the 137 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 3reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 137 most recent posts we hold, published 7 August 2026 to 17 August 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
#柬埔寨新闻 柴桢省警方突袭出租屋抓获三毒贩 缴获手枪炸弹及大量毒品 2026年8月13日,柴桢省警方在巴维市国际市场后方一出租屋内展开缉毒行动,当场逮捕三名男性嫌疑人,包括两名越南籍和一名柬埔寨籍。行动由省缉毒局联合巴维市警力执行,获省法院检察官协调支持。警方现场缴获大量毒品、一把手枪及6发子弹、一枚自制炸弹、一辆摩托车、8部手机、1台iPad、8把刀具及电子秤等物证。目前嫌疑人及全部证据已移送省法院,依法启动诉讼程序。省警察局长佩奇·维拉克中将表示,此次行动系落实国家警察总监及省长严厉打击毒品及非法武器犯罪的指示。 😁😃😊 『但愿世间安稳,山河无恙,众生平安』 赞助商广告 ✅ 豆豆加速器|一键回国专线,稳定低延迟 😀😀😀😀😀😀😀😀😀😀 订阅最新新闻(吃瓜 曝光)频道👇 🔗 t.me/addlist/Uu1ROQ8VKbcwOWFh 防失联导航: @wuyoudaohang ➡️ 投稿联系: @XLJ05⛔
#柬埔寨新闻 柬宪兵突袭西里索蓬市涉毒窝点 缴获多重毒品及涉案财物 8月13日深夜,班迭棉吉省西里索蓬市宪兵部队在Suan Techo Win Win东点展开突击行动,成功逮捕涉毒嫌疑人孔马卡拉(40岁)。行动中缴获冰毒、WY药丸及氯胺酮共计约79.49克,同时查扣车辆、手机及吸毒工具。嫌疑人供述其购买毒品用于自用及转售,曾有四年监禁前科。省宪兵司令鲍恩·宾准将授权本次打击,省法院全程配合。案件已进入司法程序,当局重申坚决打击毒品犯罪、维护社会治安的决心。 😁😃😊 『但愿世间安稳,山河无恙,众生平安』 赞助商广告 ✅ 豆豆加速器|一键回国专线,稳定低延迟 😀😀😀😀😀😀😀😀😀😀 订阅最新新闻(吃瓜 曝光)频道👇 🔗 t.me/addlist/Uu1ROQ8VKbcwOWFh 防失联导航: @wuyoudaohang ➡️ 投稿联系: @XLJ05⛔
#越南新闻 越南网红“欢花红”被捕引热议 国会代表呼吁切断“网络流氓”牟利链条 8月15日,越南公安部以“违反会计规定造成严重后果”及“欺诈挪用财产”罪名,对社交媒体红人裴春欢(又名“欢花红”)及其妻子等多人提起公诉并临时拘留。国会代表郑氏子英对此表示欢迎,指出当前“网络流氓”已形成通过制造轰动内容吸引流量、进而变现牟利的商业模式,必须依法严惩。她建议强化平台责任,切断违法内容的经济利益链,并对算法推荐机制进行监管,防止有害内容因高互动被放大传播。同时呼吁构建健康网络文化,使违法行为无法再成为获取名利的捷径。 😁😃😊 『但愿世间安稳,山河无恙,众生平安』 赞助商广告 ✅ 豆豆加速器|一键回国专线,稳定低延迟 😀😀😀😀😀😀😀😀😀😀 订阅最新新闻(吃瓜 曝光)频道👇 🔗 t.me/addlist/Uu1ROQ8VKbcwOWFh 防失联导航: @wuyoudaohang ➡️ 投稿联系: @XLJ05⛔
#越南新闻 外籍女子岘港酒店偷窃名牌包表 警方一日内破案擒获 岘港市警方8月16日通报,一名39岁外籍女子因涉嫌盗窃酒店游客财物被拘。受害者于8月8日报案称其劳力士手表、LV手包等5件总价超5亿越南盾的物品被盗。警方迅速展开调查,次日便锁定嫌疑人埃诺拉·卢盖在海洲坊一酒店内将其抓获。嫌疑人供称其失业后无收入来源,遂于凌晨潜入酒店别墅区行窃,盗取财物后试图出售变现。目前案件仍在进一步侦办中,警方呼吁游客妥善保管贵重物品,注意锁好门窗。 😁😃😊 『但愿世间安稳,山河无恙,众生平安』 赞助商广告 ✅ 豆豆加速器|一键回国专线,稳定低延迟 😀😀😀😀😀😀😀😀😀😀 订阅最新新闻(吃瓜 曝光)频道👇 🔗 t.me/addlist/Uu1ROQ8VKbcwOWFh 防失联导航: @wuyoudaohang ➡️ 投稿联系: @XLJ05⛔
#越南新闻 越南北部火车司机勾结盗油团伙 窃取数十万升铁路燃油获利超45亿盾 8月16日,乂安省公安安全调查部门破获一起针对铁路行业的大规模柴油盗窃案,主谋为43岁火车司机阮廷坚。坚利用工作便利,在过去一年中伙同20人建立封闭犯罪网络,深夜在荣市车站通过埋设于铁轨下的塑料管道连接油泵系统,从停靠机车中每次窃取200至600升燃油,每晚作案3至5次。得手后将油藏匿于其家中,次日以低于市价2800至4000盾/升的价格出售。警方在收网行动中当场抓获坚及7名同伙,查获三辆卡车、2400升柴油及相关物证。全案共起诉21名被告,涉案金额逾45亿越南盾。 😁😃😊 『但愿世间安稳,山河无恙,众生平安』 赞助商广告 ✅ 豆豆加速器|一键回国专线,稳定低延迟 😀😀😀😀😀😀😀😀😀😀 订阅最新新闻(吃瓜 曝光)频道👇 🔗 t.me/addlist/Uu1ROQ8VKbcwOWFh 防失联导航: @wuyoudaohang ➡️ 投稿联系: @
#越南新闻 岘港少年网吧通宵后夜闯民宅 盗取1.8亿盾购车购机落网 岘港市刑事警察局与五行山郡警方联合破获一起重大入室盗窃案,嫌疑人竟为14岁少年LPN。8月11日凌晨,该少年因打游戏花光钱后外出物色作案目标,趁一户人家未锁门潜入二楼,盗走存钱罐后与三名同伴撬开分赃。他用赃款购买两辆摩托车、一部iPhone并分钱给朋友。警方通过现场勘查及作案手法分析锁定涉案团伙,已追回部分财物。目前LPN已供认罪行,案件正在进一步调查处理中。 😁😃😊 『但愿世间安稳,山河无恙,众生平安』 赞助商广告 ✅ 豆豆加速器|一键回国专线,稳定低延迟 😀😀😀😀😀😀😀😀😀😀 订阅最新新闻(吃瓜 曝光)频道👇 🔗 t.me/addlist/Uu1ROQ8VKbcwOWFh 防失联导航: @wuyoudaohang ➡️ 投稿联系: @XLJ05⛔
#越南新闻 越南胡志明市开庭审理VN10特大毒品案 227名被告受审 8月17日清晨,胡志明市人民法院正式开庭审理代号VN10的特大毒品专案,共227名被告出庭受审。因被告人数众多,本次庭审采取现场与线上相结合方式,在押被告通过志和看守所连线参加。法院周边安保严密,警方实施交通管制,所有入场人员须出示传票并接受安检。记者凭核发证件方可进入采访。被告涉及罪名包括非法运输、买卖、藏匿、组织使用毒品,伪造文件及包庇犯罪等。预计庭审将持续至9月12日。主审法官为胡志明市刑事法庭庭长武清廉。 😁😃😊 『但愿世间安稳,山河无恙,众生平安』 赞助商广告 ✅ 豆豆加速器|一键回国专线,稳定低延迟 😀😀😀😀😀😀😀😀😀😀 订阅最新新闻(吃瓜 曝光)频道👇 🔗 t.me/addlist/Uu1ROQ8VKbcwOWFh 防失联导航: @wuyoudaohang ➡️ 投稿联系: @XLJ05⛔
#泰国新闻 前缉毒警长痛批佬达获释:警方已尽责,刑期却太轻 前缉毒警察局长雷瓦警中将在采访中回顾了2016年抓捕86岁毒王佬达的全过程,指出当时警方通过周密部署,成功切断其毒品网络并收缴巨额资产。佬达被判处终身监禁,却仅服刑8年便因皇家赦免获释。雷瓦表示,虽理解司法程序已尽,但对刑期缩水至8年感到遗憾与不甘,“钱没追回,人却出来了”。他强调自己从不畏惧毒贩,但此刻更担心那些曾参与行动、如今已退休的老部下,失去配枪保护,处境令人牵挂。 😁😃😊 『但愿世间安稳,山河无恙,众生平安』 赞助商广告 ✅ 豆豆加速器|一键回国专线,稳定低延迟 😀😀😀😀😀😀😀😀😀😀 订阅最新新闻(吃瓜 曝光)频道👇 🔗 t.me/addlist/Uu1ROQ8VKbcwOWFh 防失联导航: @wuyoudaohang ➡️ 投稿联系: @XLJ05⛔
#泰国新闻 泰国暖武里府男子驾车遭铁棍刺穿挡风玻璃 险中额角幸免于难 8月13日凌晨,泰国暖武里府一名30岁男子在驾车行驶于甘乍纳披色路时,一根疑似用于撬椰子的铁棍突然从前方白色皮卡上掉落,猛力穿透其驾驶座左侧挡风玻璃,直刺其右额角,致其受伤。车内玻璃碎片四溅,事发后前方皮卡曾短暂减速似欲查看,却随即驶离。受害男子立即停车并求助,经检查头部受撞击肿胀,所幸无生命危险。因所驾车辆系他人所有,他需承担修理费用。受害人已向警方报案,呼吁肇事皮卡司机主动承担责任,并提醒公众装载货物时务必固定牢靠,以防类似事故再次发生。 😁😃😊 『但愿世间安稳,山河无恙,众生平安』 赞助商广告 ✅ 豆豆加速器|一键回国专线,稳定低延迟 😀😀😀😀😀😀😀😀😀😀 订阅最新新闻(吃瓜 曝光)频道👇 🔗 t.me/addlist/Uu1ROQ8VKbcwOWFh 防失联导航: @wuyoudaohang ➡️ 投稿联系: @XLJ05⛔
#泰国新闻 暖武里府凌晨火灾吞噬民宅 二楼卧室烧毁致两死 暖武里府邦西芒县8月17日凌晨发生一起致命火灾。一栋两层民宅深夜起火,二楼卧室被严重烧毁。消防人员接报后迅速赶到并控制火势,但在火场清理过程中发现两名死者,分别为一男一女。警方已对起火原因展开调查,目前尚未公布更多细节。火灾善后工作及死者身份确认正在同步进行中。 😁😃😊 『但愿世间安稳,山河无恙,众生平安』 赞助商广告 ✅ 豆豆加速器|一键回国专线,稳定低延迟 😀😀😀😀😀😀😀😀😀😀 订阅最新新闻(吃瓜 曝光)频道👇 🔗 t.me/addlist/Uu1ROQ8VKbcwOWFh 防失联导航: @wuyoudaohang ➡️ 投稿联系: @XLJ05⛔
#泰国新闻 泰男出借银行账户助诈骗 涉案超900笔终落网 2026年8月15日,泰国犯罪镇压部门在曼谷新南部客运站逮捕28岁嫌疑人苏先生(化名),其因涉嫌出借个人银行账户用于诈骗及输入虚假计算机数据,被素可泰府法院签发逮捕令。案件源于2025年底,一名受害者遭冒充其女儿的诈骗分子诱导扫描二维码转账4,699.99泰铢,事后发现受骗。警方追查资金流向发现苏先生的账户涉及超900笔可疑交易,并关联多地网络报案。嫌疑人到案后供认因同事请求碍于情面出借账户,后与该人失联。目前苏先生已认罪,警方提醒公众勿轻信他人借用账户请求,避免承担法律责任。 😁😃😊 『但愿世间安稳,山河无恙,众生平安』 赞助商广告 ✅ 豆豆加速器|一键回国专线,稳定低延迟 😀😀😀😀😀😀😀😀😀😀 订阅最新新闻(吃瓜 曝光)频道👇 🔗 t.me/addlist/Uu1ROQ8VKbcwOWFh 防失联导航: @wuyoudaohang ➡️ 投稿联系: @XLJ0
Showing the 12 most recent of 137 posts we hold for @AiNi521314. 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
Citation-graph rank — 1,363,760 of 1,548,671entries 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.
Mentions
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.
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.
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 17 August 2026 — this entry's latest reading, not the date you are reading this.
“Telegram新闻头条” (@AiNi521314), 51,955 subscribers as measured 17 August 2026. Telegram Register, tgregister.com/channel/AiNi521314.
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.