#网友投稿:就在刚刚,老挝警察突击排查了特外COCO酒吧后方的一家酒店,已抓走了两名中国籍狗推。 目前,排查行动还在继续中,特外的兄弟们注意安全! ➗➗➗➗➗➗➗➗➗➗➗ 东南亚新闻:@baoguangsq 亚太新闻:@knmkio 福利社区:@fulishequ6 亚太二手市场:@YTESPD 吃瓜新闻:@daDchigua 体育足球推单:@SJB00001

Channel
亚太新闻社|吃瓜曝光(东南亚曝光吧)
@knmkio
On this record: Growth · Engagement · What this channel posts · Posts · Citations · Handles named that no longer answer · Cite this entry
54,324subscribers
+12,828 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 | -1002182081653 |
|---|---|
| Type | Channel |
| Username | @knmkio |
| Description | #柬埔寨 #金三角特区 #缅甸 #泰国 #迪拜 #菲律宾 #东南亚 #交流群 东南亚曝光-聚焦时事 专注于东南亚华人最新动态资讯,让你看尽海外华人大小事。 本频道工作人员不会主动私聊任何飞机用户! 🌴新闻社区: @knmkio 🌴体育足球推单: @SJB00001 🌴福利姬🔞: @fulishequ6 🌴广告招商: @ailin980412 |
| Created | Between 1 June 2024 and 30 September 2024 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 2 September 2026 |
| Measurements held | 26 |
| Confirmed unchanged | 1 time, most recently 2 September 2026 |
| On Telegram | t.me/knmkio |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 2 Sept 2026, 22:25 | 54,324 | -242 |
| 1 Sept 2026, 22:07 | 54,566 | -133 |
| 1 Sept 2026, 01:38 | 54,699 | -168 |
| 31 Aug 2026, 01:45 | 54,867 | -221 |
| 30 Aug 2026, 01:53 | 55,088 | -200 |
| 29 Aug 2026, 04:37 | 55,288 | -318 |
| 28 Aug 2026, 02:34 | 55,606 | -204 |
| 27 Aug 2026, 01:37 | 55,810 | -161 |
| 26 Aug 2026, 04:22 | 55,971 | -305 |
| 25 Aug 2026, 02:35 | 56,276 | -418 |
| 23 Aug 2026, 14:24 | 56,694 | -410 |
| 22 Aug 2026, 02:45 | 57,104 | +21,114 |
| 20 Aug 2026, 19:01 | 35,990 | -1,512 |
| 19 Aug 2026, 21:08 | 37,502 | -195 |
| 18 Aug 2026, 23:32 | 37,697 | -213 |
| 17 Aug 2026, 23:08 | 37,910 | -403 |
| 16 Aug 2026, 20:27 | 38,313 | -527 |
| 15 Aug 2026, 11:04 | 38,840 | -648 |
| 14 Aug 2026, 01:14 | 39,488 | -432 |
| 12 Aug 2026, 21:53 | 39,920 | first reading |
Engagement
635 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 57 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 0.537%
- avg views ÷ 54,324 subscribers
- Avg views / post
- 292
- 635 posts measured
- Reaction rate
- —
- this channel exposes no reaction counts
- Posts in window
- 635
- of 635 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.
| Window | Rolling 30 days · latest post in window 3 September 2026 |
|---|---|
| Posts held | 635 (7 August 2026 – 3 September 2026) |
| Views total | 185,103 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 3 Sept 2026, 17:54 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
- ≈40,200
- Videos
- ≈6,840
- Links
- ≈4,210
Lifetime counters from Telegram’s own channel header, read 3 September 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
- 2h 22m
- Average length
- 44s
Measured directly from 192 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.
Recent posts
亚太永旺超市主营国内保真保正香烟、槟榔批发零售 超市频道:https://t.me/ywcs00 香烟槟榔频道: https://t.me/ywcs0 下单联系:@ywcsjd197
#网友投稿 #瓦板的爱情故事 #吃瓜 瓦邦近期最火的捞爱情故事:男女双方交往了整整四个月,恋爱期间二人相处,本以为可以好好维系这段感情,可后续相处里女生查出患有性病,真相却是女生本身就携带这个病,并不是男生传染过来的,女的还结过婚、堕胎好几次。 事情发生之后,女生反倒对外到处宣扬,说是男生在外到处出轨,把性病带给了她,还公开曝光男生,把所有过错全部推到男生身上,到处说男生私生活混乱,实际上男生并没有到处出轨,无端被扣上出轨、传染疾病的骂名,平白遭受误会,名声也受到很大影响。 一场四个月的恋爱闹到撕破脸,对外颠倒黑白,这件事也提醒大家,感情里遇事不要只听单方面的说辞,是非对错需要分清,同时谈恋爱一定要重视自身健康,对自己、对伴侣负责。 那个女方嘴巴也是挺硬的,一下哭一下又撕破,一下又开心一下又大晚上的去骂那个男的,又看不起对方一百块一个月的伙食费,谈了之后又到处说那个男的不给她花钱,又到处说那个男的骗她感情,到处说那个…
#网友问 求助一下广大大屌网友 现在进去亚太车费一个人是多少,还有听说是密码箱的话不能拿进去,有没有最近去亚太的大屌网友,知道的回复一下,谢谢! ➗➗➗➗➗➗➗➗➗➗➗ 东南亚新闻:@baoguangsq 亚太新闻:@knmkio 福利社区:@fulishequ6 亚太二手市场:@YTESPD 吃瓜新闻:@daDchigua 体育足球推单:@SJB00001
#网友投稿:收到内部消息,近期缅甸小勐拉又要开始进行一轮严格的检查。 据说这次行动都是秘密进行的,可能会突然抓人,尤其是那些在酒店、公寓里活动的打野的朋友,需要格外注意。 大家务必保持警惕,避免不必要的麻烦,中午时段也要多加小心,尽量减少外出或聚集,以免被盯上。 ➗➗➗➗➗➗➗➗➗➗➗ 东南亚新闻:@baoguangsq 亚太新闻:@knmkio 福利社区:@fulishequ6 亚太二手市场:@YTESPD 吃瓜新闻:@daDchigua 体育足球推单:@SJB00001
#缅甸援助尼泊尔洪灾5万美元及8吨豆类 缅甸政府9月2日向尼泊尔洪灾提供5万美元现金和8吨豆类援助。 尼泊尔8月26日因冰川崩塌引发特大洪灾,已致超1252人死亡、约4875人失踪,其中包括500多名外国游客。目前仍有数百名工人被困水电站隧道,救援持续中。 尼方对缅方援助表示感谢。缅甸总统敏昂莱表示各国应汲取防灾教训。 ➗➗➗➗➗➗➗➗➗➗➗ 东南亚新闻:@baoguangsq 亚太新闻:@knmkio 福利社区:@fulishequ6 亚太二手市场:@YTESPD 吃瓜新闻:@daDchigua 体育足球推单:@SJB00001
#缅媒质疑妙瓦底清剿行动:拆除属实,但官方说法存多处疑点 缅甸观察组织(Myanmar Witness)8月10日发布报告,对缅军政府高调宣传的“水沟谷诈骗园区拆除行动”提出多项质疑。报告确认拆除确实发生,但指出官方信息与可查证证据存在多处不一致。 主要疑点包括: 位置不符:官方公布的拆除点位与实际拆除建筑位置存在偏差,另有11座被拆建筑未列入官方计划。 建筑“变装”:部分建筑在拆除前屋顶消失,或屋顶颜色与卫星图像记录不符,更换原因不明。 楼层数对不上:官方称拆除12层高楼,但实际定位仅为低矮建筑;另有影像呈现为独立高层,卫星图却显示为两栋分离的低层建筑。 图片疑涉AI:至少7张官方发布图片检测出SynthID标记或带有Gemini水印,显示经过AI工具处理,但修改内容及目的尚无法确认。 报告还指出,目前被逮捕和遣返的人员多为中低层级,网络高层管理者并未被同等锁定。 缅甸观察组织未对行动意图下结论,但表示现有证据…
#网友曝光 #公司无理由规划 #亚太 缅东亚太富贵苑后面,鑫永利别墅区5 栋,无理由开除人,少数民族,直接不要,做个管理很牛逼,很了不起了吗?? 想问您照片是不是想上传到各大平台、各大网站,是不想回国了吗? ➗➗➗➗➗➗➗➗➗➗➗ 东南亚新闻:@baoguangsq 亚太新闻:@knmkio 福利社区:@fulishequ6 亚太二手市场:@YTESPD 吃瓜新闻:@daDchigua 体育足球推单:@SJB00001
#网友曝光 在你们公司上过班真的倒了八辈子霉,他妈的待遇不好,工资又少,还一天酷酷扣员工的工资,还扣那么多,还要让我们一天的好好好,好你妈了个巴子,一天天收到扣 1,收到扣 1,扣你妈个依灭鼠, 你们这群中国老妖,还有那个老板天天就给员工画大饼,画大饼,画他妈个依灭鼠,在你们公司吃的大饼估计有两冰箱了。 还有那个死脉动,真的想骂你很久了,跟个死娘们似的,一件事情就可以抓着一直咄咄逼人,大家都是打工人,你装你妹,以为自己很牛逼的,实际就是个缩头乌龟,你就是个打工人,你不要装, 你在缅甸什么东西都不算,迟早被砍死,做人不要太嚣张。我这些话是帮很多员工说心里话,也包括是我想说很久了,在你们公司上班,没有一个不说过你们公司坑。 还有工资从不会按时发,本来是 15 号发工资,每个月都拖工资,拖到月底都是,打工的出门在外就是因为要养家糊口,很需要钱,每次拖工资去问了,还拿开除来威胁。 我们在大其力的时候,本来就很乱,人家来抓,我…
#柬埔寨资讯 遣返122名涉嫌非法居留及网络诈骗的中国公民 9月2日,根据柬埔寨内政部领导的指示,移民总局近日在德乔国际机场开展执法行动,通过专机将122名中国公民遣返回国,其中包括3名女性。 据移民总局消息人士透露,这些人员涉嫌在柬埔寨非法居留、无证工作及参与网络诈骗活动。 ➗➗➗➗➗➗➗➗➗➗➗ 东南亚新闻:@baoguangsq 亚太新闻:@knmkio 福利社区:@fulishequ6 亚太二手市场:@YTESPD 吃瓜新闻:@daDchigua 体育足球推单:@SJB00001
原商务号掉了了 认准这是新的商务号 @yt1368 ➗➗➗➗➗➗➗➗➗➗➗ 东南亚新闻:@baoguangsq 亚太新闻:@knmkio 福利社区:@fulishequ6 亚太二手市场:@YTESPD 吃瓜新闻:@daDchigua 体育足球推单:@SJB00001
#吃瓜 听说这两个小老缅,是在学校里面同时喜欢一个女生, 然后双方谁都不让谁,下课真男人1v1😏😏 👉视频跳转👈 ➗➗➗➗➗➗➗➗➗➗➗ 东南亚新闻:@baoguangsq 亚太新闻:@knmkio 福利社区:@fulishequ6 亚太二手市场:@YTESPD 吃瓜新闻:@daDchigua 体育足球推单:@SJB00001
Showing the 12 most recent of 635 posts we hold for @knmkio. 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 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.
@baoguangsq · 84,240503 posts爱看新闻吃瓜瓜
@daDchigua · 18,092503 posts福利社区
@fulishequ6 · 13,653503 posts世界杯足球推单
@SJB00001 · 14,246503 posts亚太永旺二手市场
@YTESPD · 24,255503 posts永旺保真保正香烟槟榔
@ywcs0 · 70752 posts永旺百货频道 (早10-晚10)
@ywcs00 · 1,02652 postsU8国际平台
@U8Linwu001 · 10828 posts8K国际官方
@PG8K8K · 4,2474 posts东南亚清一色
@ggb6998 · 6372 posts亚太新闻 | 缅甸新闻 | 东南亚新闻 | 爆料 | 吃瓜
@ygxw3 · 143,2702 posts东南亚大事件-头条新闻
@dny377 · 107,2231 post东南亚交流群_华人之光🇨🇳
@dny937 · 33,6271 postSpam Info Bot
@SpamBot · 34,147,0241 post
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.
Handles this channel named that no longer answer
- Dead references
- 2
- handles named in this channel’s posts, vacant today
- Evidenced gone
- 2
- we ourselves saw one of these resolve, at some point
- Never seen alive
- 0
- vacant every time we have ever looked
@knmkio named 2 handles that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all. A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
Evidenced gone
We ourselves saw each of these resolve to a real page at some point before it went vacant — a genuine, evidenced change, not an inference from absence.
named in 4 posts, 26 August 2026 – 2 September 2026 · confirmed gone 3 September 2026 (two independent sightings — see how we confirm a dead handle)evidenced
named in 1 post, 8 August 2026 – 8 August 2026 · confirmed gone 26 August 2026 (two independent sightings — see how we confirm a dead handle)evidenced
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 2 September 2026 — this entry's latest reading, not the date you are reading this.
“亚太新闻社|吃瓜曝光(东南亚曝光吧)” (@knmkio), 54,324 subscribers as measured 2 September 2026. Telegram Register, tgregister.com/channel/knmkio.
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.