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Channel
东南亚大事件(吃瓜曝光版)
@Ag722
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
21,010subscribers
-16,001 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
Register entry
| Telegram ID | -1002583488023 |
|---|---|
| Type | Channel |
| Usernames | @Ag722 @xocow |
| Created | Between 1 March 2025 and 31 July 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 5 September 2026 |
| Measurements held | 53 |
| Confirmed unchanged | 1 time, most recently 5 September 2026 |
| On Telegram | t.me/Ag722 |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 5 Sept 2026, 23:20 | 21,010 | -276 |
| 5 Sept 2026, 04:57 | 21,286 | -774 |
| 3 Sept 2026, 18:57 | 22,060 | -250 |
| 3 Sept 2026, 13:01 | 22,310 | -353 |
| 2 Sept 2026, 09:07 | 22,663 | -504 |
| 2 Sept 2026, 05:05 | 23,167 | -313 |
| 1 Sept 2026, 10:03 | 23,480 | no change |
| 1 Sept 2026, 06:08 | 23,480 | -319 |
| 31 Aug 2026, 07:47 | 23,799 | -130 |
| 31 Aug 2026, 05:12 | 23,929 | -185 |
| 30 Aug 2026, 10:38 | 24,114 | -314 |
| 30 Aug 2026, 03:27 | 24,428 | -516 |
| 29 Aug 2026, 11:24 | 24,944 | -70 |
| 29 Aug 2026, 03:26 | 25,014 | -716 |
| 28 Aug 2026, 07:47 | 25,730 | -51 |
| 28 Aug 2026, 03:13 | 25,781 | -548 |
| 27 Aug 2026, 06:38 | 26,329 | -119 |
| 27 Aug 2026, 04:46 | 26,448 | -656 |
| 26 Aug 2026, 05:11 | 27,104 | no change |
| 26 Aug 2026, 02:34 | 27,104 | first reading |
Engagement
594 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 58 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 7.09%
- avg views ÷ 21,010 subscribers
- Avg views / post
- 1,490
- 594 posts measured
- Reaction rate
- 0.047%
- reactions ÷ views · ER floor
- Posts in window
- 594
- of 594 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 51 of 594 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 3 September 2026 |
|---|---|
| Posts held | 594 (7 August 2026 – 3 September 2026) |
| Views total | 884,749 |
| Reactions total | 51 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 3 Sept 2026, 12:04 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
- 40m 36s
- Average length
- 15s
Measured directly from 161 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
51 reactions across 50 posts, in 9 distinct kinds. The most used accounts for 27.5% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 14 | 27.5% | |
| 🔥 | 8 | 15.7% | |
| 🥰 | 7 | 13.7% | |
| 🤩 | 6 | 11.8% | |
| ⚡ | 5 | 9.80% | |
| 👏 | 4 | 7.84% | |
| 😁 | 4 | 7.84% | |
| 👍 | 2 | 3.92% | |
| 🎉 | 1 | 1.96% |
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 51 of the 594 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 51 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 594 most recent posts we hold, published 7 August 2026 to 3 September 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
#国内资讯:湖南76岁老人分饰3角诈骗同龄老人7万余元,法院:系累犯,判刑3年半 9月2日,湖南常德临澧县法院通报一起诈骗案。被告人高某某为骗财,以介绍对象为名虚构身份,一人分饰三角,在近两年内骗取同为七旬的被害人李某某人民币7万余元。 2023年下半年,高某某结识李某某后,得知其子年逾四十未婚,便起歪心思。他谎称自己是退休干部,并虚构在某省公安厅工作的侄女“高萍”离异无孩、条件优越,假意撮合。 李某某信以为真。为让骗局逼真,高某某又虚构“高加伟”担任“高萍”叔叔,用不同号码轮番上阵:时而正常语气当媒人沟通;时而压低嗓音模仿“高加伟”以“省公安厅领导”身份送“定心丸”;时而捏着嗓子尖声假扮“高萍”,娇滴滴喊“爸爸”。 2024年3月至2025年12月,高某某以买首饰、装修婚房、给彩礼、买家电等理由,先后28次让李某某转账累计7万余元,所得款项均被挥霍。 经审理查明,高某某早年因招摇撞骗罪被判刑,2021年9月刚因诈骗罪…
🔥1
#网友投稿:讲讲我在柬埔寨被法律承认的爱情故事。 和她相识时,她给我的感觉很单纯,也陪我走过一段低谷。后来我们自然而然走到一起,在当地登记结婚,举办了婚礼。最开始我是真的想着和她好好过一辈子,从来没有把这段婚姻当成一场交易。 婚后我逐渐接触到她的家庭。家里条件一般,需要帮忙时我都会尽力。修房、出资做生意、买摩托车、开店,这些年零零总总加起来,二十多万人民币肯定是有的。 我从没觉得钱白花,因为我一直认为既然结了婚,她的家人也是我的家人。可时间久了,问题开始显现:她越来越不愿意工作,很多事都落在我身上。尤其是最近一年,我明显感觉自己越来越累。她在外面常找我要钱,我离开前已留够生活费,可新需求仍源源不断。刚开始我都会想办法解决,时间久了,我甚至开始害怕看到她发来的信息。 再次回到柬埔寨后,突然就有离婚的想法,但是结合当下的实际情况和种种原因,也是想想罢了。毕竟这么多年感情,说放下就放下并不容易。我也希望她愿意一起努力,可一个人…
国内新闻 6人“旅游”出境!辗转柬老缅多诈骗园区电诈2年+,获刑 贵州黔南平塘县法院近日宣判:6名被告人以“个人旅游”为名办护照出境,先后辗转柬埔寨西港金贝、老挝金三角天海及“老缅新村”、缅甸妙瓦底“老泰昌”等诈骗园区,用虚拟币投资理财实施电信诈骗,滞留境外超2年。 刘某某等6人2023年4月起陆续出境,2025-2026年陆续被抓或遣返。平塘县检察院以诈骗罪、偷越国(边)境罪起诉,法院数罪并罚,分别判处有期徒刑2至2年6个月不等,并处罚金。别拿“旅游”当挡箭牌,电诈终究跑不掉! ☎️ 免费爆料投稿:@Pu222 👨👨👧👧 东南亚大事件:@Ag722
👏1
柬埔寨称扫诈见效 小团伙涌现 9月2日,柬埔寨当局宣布已拆除多处大型诈骗园区,却发现小规模、分散的诈骗团伙如雨后春笋般在城市冒头,行业正悄然“升级”作案模式。 本周,金边一处疑似诈骗窝点被突袭,18名孟加拉国人落网;西港周二在3栋公寓行动中抓获10名中国人,缴获120余台设备,其中4人涉嫌网络诈骗;国公省七星海周末行动拘留34名嫌疑人,数百台设备被查。 反诈骗委员会透露,过去一年已清查600多个诈骗相关地点,拘留近3万名来自39个国籍的嫌疑人;自2025年7月以来冻结超过3亿美元诈骗资金,立案调查440多起。 反诈骗委员会负责人蔡西那烈表示,诈骗集团正转向客栈、公寓、车辆和咖啡馆等更小、更分散的“游击”地点。 哈佛大学访问学者、东南亚跨国犯罪专家雅各布·西姆斯指出,关闭实体园区不等于彻底瓦解产业链,现有迹象更像是“打地鼠式扰乱与适应”,而非全面终结。 ☎️ 免费爆料投稿:@Pu222 👨👨👧👧 东南亚大事件:@…
🤩1
🇻🇳 越南新规8月1日上线:加密资产违规最高罚2亿盾,没收非法所得 越南自8月1日起施行第284/2026号法令,对加密资产领域违规行为精准出击。机构最高罚款2亿越南盾(约7671美元),个人最高1亿越南盾。未经许可收集、存储或传播加密账户数据、未履行反洗钱和反恐融资审查(含客户身份核验)等行为均在处罚之列。情节严重者还将面临交易或服务暂停最长12个月、吊销执照并没收违法所得。 ☎️ 免费爆料投稿:@Pu222 👨👨👧👧 东南亚大事件:@Ag722
#马来西亚资讯:古晋闪电突袭!网恋诈骗窝点崩盘,8人落网专坑海外“网恋”受害者 9月1日晚11时许,马来西亚砂拉越古晋宋路一公寓遭警方突击,一个长期经营网恋诈骗的窝点被一锅端,8名嫌疑人集体落网。 被捕者年龄21至26岁,包括2名马来西亚男子、1名马来西亚女子及5名外国男子。警方现场缴获多台笔记本电脑、手机等设备。这群人窝在公寓里专挑海外受害者下手。 9月2日,8人被押往古晋推事法院,获准延扣4天。案件涉及诈骗及刑事共谋,警方仍在追查团伙运作细节。 ☎️ 免费爆料投稿:@Pu222 👨👨👧👧 东南亚大事件:@Ag722
🥰1
万人“转战”缅甸:电诈清剿后又现新据点 据《南华早报》援引反人口贩运组织消息,柬埔寨近期大规模清剿后,约1万至2万名外国人转移至缅甸,继续网络诈骗。 组织估计,缅甸电诈园区现困超1.37万人,来自印度、埃塞俄比亚等地,部分人员疑从柬埔寨转移甚至二次转卖。同时,诈骗团伙已开始向印尼、斯里兰卡等地“搬家”。 ☎️ 免费爆料投稿:@Pu222 👨👨👧👧 东南亚大事件:@Ag722
🥰1
#网友投稿:金三角特区孟赛物业昨夜23点多突遭治安局包围,抓获一伙“打野”团队。 截至目前,具体行动尚未公开,治安局车队正拉着查获的办公设备“撤退”! ☎️ 免费爆料投稿:@Pu222 👨👨👧👧 东南亚大事件:@Ag722
柬埔寨反诈清剿后人员被指大规模外迁,逾万人转往缅甸继续参与电诈 据《南华早报》援引反人口贩运组织消息,随着柬埔寨持续清剿大型电诈园区,部分涉诈人员及网络正向周边国家转移。 相关机构估计,约有1万至2万名外国人从柬埔寨进入缅甸,继续参与网络诈骗。 报道指出,缅甸境内仍有大量外国人滞留或被困。反人口贩运组织估计,其中至少有1.37万人来自印度、埃塞俄比亚等国,部分人员曾从柬埔寨转移,甚至经历再次转卖。 除缅甸外,调查人员还发现部分诈骗团伙开始向印度尼西亚、斯里兰卡等地重新布局。 区域反诈行动虽压缩了部分大型园区空间,但电诈网络正呈现跨境转移、据点分散化的新趋势。 ☎️ 免费爆料投稿:@Pu222 👨👨👧👧 东南亚大事件:@Ag722
🤩1
金边公寓内女子身亡 凌晨时分,金边堆谷区一公寓内,一名女子被发现死在房间里。 死因目前成谜,警方已火速介入调查。媒体透露疑似心脏病突发,事件正待进一步确认。 ☎️ 免费爆料投稿:@Pu222 👨👨👧👧 东南亚大事件:@Ag722
😲全球生意,快人一步;全球收付,安全托付。😲 😘全料😘全料😘全料😘全料 ✨别人还在审核,你已经到账; 💵别人还在换汇,你已经回款。 🥰代收代付,认准(龍盛集團) 快,是标配;稳,是底线。🔥 ❤负责人:@LongSheng_Bosco ❤鹰皇国际:@YHGJ_mengmeng ❤漫威国际:@MWGJ_LOGAN ❤凱旋國際:@KXGJ_MoChou ❤騎士國際:@QSGJ_kefu09 ❤狮王支付:@SWZF_xiaofan @SWZF_zhazha
Showing the 12 most recent of 594 posts we hold for @Ag722. 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 4 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.
@Ag811 · 22,26519 posts捷克欧美无码Av黑人白人国产口交
@Av635 · 90,89119 posts中文字幕日本Av
@Av751 · 7,11119 posts国产日本无码破解Av少妇反差调教
@av924 · 19,14319 postsAv关键词搜索
@av938 · 12,19619 posts东南亚大事件吃瓜
@Bc716 · 30,50619 posts吃瓜搞笑
@cg776 · 9,39519 posts日本无码破解av母狗按摩调教
@daacy · 311,60419 posts吃瓜群众美女合集
@eysiy · 11,16319 posts频道合集.防封中专
@pu229 · 4,34119 posts东南亚吃瓜爆料
@pu599 · 9,75319 posts日本无码破解av巨乳口交自慰
@Rav266 · 4,56419 posts头条事件
@toutiaoshijian · 78,1872 posts斯里兰卡头条新闻曝光
@baoguangee · 196,2491 post东南亚大事件
@bx666 · 474,4141 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.
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 5 September 2026 — this entry's latest reading, not the date you are reading this.
“东南亚大事件(吃瓜曝光版)” (@Ag722), 21,010 subscribers as measured 5 September 2026. Telegram Register, tgregister.com/channel/Ag722.
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.