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Channel
东南亚新闻-吃瓜曝光
@chiguabgt
On this record: Growth · Engagement · What this channel posts · Posts · Citations · Cite this entry
19,162subscribers
-1,625 since we began measuring on 8 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
Register entry
| Telegram ID | -1002030216602 |
|---|---|
| Type | Channel |
| Usernames | @chiguabgt @k520n |
| Created | Between 1 November 2023 and 31 May 2024— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 8 August 2026 |
| Last confirmed live | 18 August 2026 |
| Measurements held | 20 |
| Confirmed unchanged | 1 time, most recently 18 August 2026 |
| On Telegram | t.me/chiguabgt |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 18 Aug 2026, 19:24 | 19,162 | no change |
| 18 Aug 2026, 18:34 | 19,162 | -189 |
| 17 Aug 2026, 18:17 | 19,351 | no change |
| 17 Aug 2026, 16:17 | 19,351 | -403 |
| 16 Aug 2026, 14:39 | 19,754 | -54 |
| 16 Aug 2026, 08:38 | 19,808 | -902 |
| 14 Aug 2026, 23:57 | 20,710 | no change |
| 14 Aug 2026, 18:37 | 20,710 | +575 |
| 13 Aug 2026, 14:38 | 20,135 | -126 |
| 13 Aug 2026, 06:06 | 20,261 | -843 |
| 12 Aug 2026, 10:58 | 21,104 | +1,307 |
| 12 Aug 2026, 04:02 | 19,797 | -196 |
| 11 Aug 2026, 07:15 | 19,993 | -71 |
| 11 Aug 2026, 01:51 | 20,064 | -85 |
| 10 Aug 2026, 09:20 | 20,149 | -309 |
| 10 Aug 2026, 00:47 | 20,458 | -701 |
| 9 Aug 2026, 06:11 | 21,159 | +478 |
| 9 Aug 2026, 04:11 | 20,681 | -106 |
| 8 Aug 2026, 11:00 | 20,787 | no change |
| 8 Aug 2026, 10:54 | 20,787 | first reading |
Engagement
208 posts held, back to 8 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 22 pagesof Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 2.43%
- avg views ÷ 19,162 subscribers
- Avg views / post
- 466
- 208 posts measured
- Reaction rate
- —
- this channel exposes no reaction counts
- Posts in window
- 208
- of 208 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 18 August 2026 |
|---|---|
| Posts held | 208 (8 August 2026 – 18 August 2026) |
| Views total | 96,912 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 18 Aug 2026, 16:09 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
- 41m 29s
- Average length
- 53s
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.
Recent posts
一条更炸裂的新闻,鉴于印度市面上出现了假牛尿,有人已经开始在议会提案,要牛尿专家品尝牛尿后颁发证书,正宗的神牛牛尿才能售卖,因为虔诚的印度教徒无法忍受喝假牛尿 垃圾阿三是弱智基因🧬携带者,警惕弱智基因污染😰😰
#斯里兰卡资讯 东南亚严打电诈后开始转场?斯里兰卡接连抓捕400多名涉诈人员 东南亚持续严打电诈和网赌后,部分跨国犯罪网络 疑似开始寻找新的落脚点,斯里兰卡正成为外界关注的新目标。 据8月16日发布的研究简报,今年3月至5月,斯里兰卡警方连续开展多轮行动,累计抓捕超过400名外籍人员,其中多数为中国籍。 3月抓获135名中国人,4月再抓152名外籍人员,5月初连续两天又抓获120人和37名中国人,并查扣大量电脑、手机和SIM卡。6月,警方还抓获18名涉嫌网络犯罪的中国籍人员。 报告认为,这可能与柬埔寨、缅甸、菲律宾等传统电诈活动地区执法力度不断升级有关。部分犯罪网络在原有据点遭到打击后,开始寻找监管压力较小的新地区。 中国驻斯里兰卡使馆此前也表示,2026年以来,疑似从其他国家转移至斯里兰卡的网赌、电诈及相关灰黑产业人员有所增加,中斯双方正在加强联合执法。 不过,报告同时指出,目前尚无证据表明斯里兰卡已经形成与柬埔…
#网友投稿:最近想去东南亚各国的兄弟们,特别是泰缅边境地区,柬埔寨,老挝,这几点心里要有数。 一、边检现在不只查目的地,更查你“从哪来”,除了要去哪,过去的行踪现在也是重点排查项。 中国驻泰大使馆两个月内连发两次提醒,点名泰国达府、湄索等泰缅边境地区。只要你去过、停留时间长、行程可疑,再入境泰国就可能被列为重点核查对象,甚至直接拒绝入境。背后是缅北、妙瓦底电诈园区被打散后,人员外溢,边境管控只能越来越紧。 更麻烦的是,你在国内就被盯上。 一个真实案例:企业技术骨干去巴西出差,在成都机场被拦、护照当场被收缴。原因是他2018至2023年被外派去过柬埔寨,户籍地警方认定有“涉电诈”嫌疑,护照早已作废。他配合调查4次,以为“解控”了,到了机场才发现走不了。 说白了:去过柬埔寨、泰缅边境,就算时隔几年,警方可能已经默默给你“挂了号”。 二、新规9月施行,“高风险地区”有了明确依据 国务院今年7月公布的《关于出境入境管理的规定…
#泰国新闻 【孔敬市长澄清寺庙土地税务争议:该地块属宗教公共用地,市政从未征收土地税】 2026 年 8 月 18 日,孔敬市长 Prasit Thongtong Thai 针对瓦帕阿杜利亚拉姆寺的土地税务传闻作出澄清。编号 61945 的地块原为香・品斯里捐赠给寺庙的土地,地契名义仍登记在捐赠者名下,面积约 21 莱 3 昂 61 平方瓦。自 1990 年起,这片土地实际作为佛教寺庙使用,属于公共宗教用地,依法享受免税待遇。
🇱🇦 老挝巴莱县端掉跨国电诈窝点 抓获印尼及中国籍等47人 老挝媒体8月18日报道: 7月13日,沙耶武里省巴莱县警方在怀莱村一出租屋捣毁一跨国杀猪盘电诈窝点,抓获嫌疑人47名(含印尼籍38人、中国籍4人、老挝籍1人及越南籍1人),查获手机228部和电脑22台。 经查,该团伙于2026年5月由7名中国籍人员组织招募,外籍员工月薪约600美元。目前涉案人员及工具已被警方控制,案件正依法移交审理中。
人民币真人盘 ❗️大额出款无忧❗️ 东南亚顶流线上博彩平台👍👍👍👍 在全网上押500000USDT押金 #东南亚顶级高爆电子台!😀😳😳😀😳😳😀😳😳😀😳😳 😀😳😳 😀😀😀😀 👌👌👌 USDT存出款,东南亚盘总首选U台👍不限ip 提款无上限! 😍王者加冕 · 荣耀诞生:真人中一路连胜,尽显实力!成功累计提款6320000❗️👈点击查看 17年老品牌台子 电子百家乐 0风控 包出款 PG电子最高可20000一拉 真人最高可50万一注 ➡️福利频道: @PGDZ169 💬客服专员: @huaxian 🥹 🐖注册网址: qs2426.cc 👈
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🇲🇲 前毒枭坤沙助手“李老大”获泰王特赦 出狱获释 8月14日,曾为金三角著名毒枭坤沙助手的86岁前贩毒集团头目“李老大”,获泰国国王生日特赦,正式从暖武里府邦光中央监狱获释。监狱方面已发布仪式现场照片。 2016年10月,李老大地在清迈府因贩毒及非法持有枪支弹药落网,警方查获约20公斤冰毒并冻结超10亿泰铢资产。此前他被判处终身监禁,服刑至今获特赦出狱。 86岁,可以不用死在监狱里了~~
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Showing the 12 most recent of 208 posts we hold for @chiguabgt. 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
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 18 August 2026 — this entry's latest reading, not the date you are reading this.
“东南亚新闻-吃瓜曝光” (@chiguabgt), 19,162 subscribers as measured 18 August 2026. Telegram Register, tgregister.com/channel/chiguabgt.
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.