Channel
@cgssbb
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Telegram's recommendations · Cite this entry
53,339subscribers
+955 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 31,623–100,000.
| Telegram ID | -1001297627527 |
|---|---|
| Type | Channel |
| Username | @cgssbb |
| Description | #东南亚 #柬埔寨 #菲律宾 #缅甸 #泰国 #迪拜 热门曝光、新闻频道，安危事件，曝光爆料 东南亚华人必备的曝光频道 商务合作： @mx148 投稿机器人 @mx148bot |
| Created | Between 1 March 2018 and 31 July 2021— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 27 August 2026 |
| Measurements held | 20 |
| Confirmed unchanged | 1 time, most recently 27 August 2026 |
| On Telegram | t.me/cgssbb |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 27 Aug 2026, 14:55 | 53,339 | +9,730 |
| 26 Aug 2026, 17:08 | 43,609 | -4,509 |
| 25 Aug 2026, 13:32 | 48,118 | -452 |
| 24 Aug 2026, 12:54 | 48,570 | -588 |
| 22 Aug 2026, 18:34 | 49,158 | -1,897 |
| 21 Aug 2026, 06:56 | 51,055 | -926 |
| 20 Aug 2026, 06:06 | 51,981 | -579 |
| 19 Aug 2026, 08:35 | 52,560 | -1,591 |
| 18 Aug 2026, 06:22 | 54,151 | -647 |
| 17 Aug 2026, 09:53 | 54,798 | +4,979 |
| 15 Aug 2026, 20:16 | 49,819 | -875 |
| 14 Aug 2026, 08:27 | 50,694 | -3,989 |
| 12 Aug 2026, 21:58 | 54,683 | -104 |
| 12 Aug 2026, 01:22 | 54,787 | +6,461 |
| 10 Aug 2026, 23:06 | 48,326 | -546 |
| 9 Aug 2026, 19:57 | 48,872 | -1,195 |
| 8 Aug 2026, 23:31 | 50,067 | -1,673 |
| 7 Aug 2026, 23:17 | 51,740 | -644 |
| 7 Aug 2026, 13:00 | 52,384 | no change |
| 7 Aug 2026, 12:55 | 52,384 | first reading |
209 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 44 pagesof Telegram’s post history, 20 posts per page.
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 24 of 207 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 27 August 2026 |
|---|---|
| Posts held | 209 (7 August 2026 – 27 August 2026) |
| Views total | 254,329 |
| Reactions total | 23 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 27 Aug 2026, 15:02 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.
Lifetime counters from Telegram’s own channel header, read 27 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.
Measured directly from 72 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.
23 reactions across 23 posts, in 2 distinct kinds. The most used accounts for 91.3% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 21 | 91.3% | |
| ❤ | 2 | 8.70% |
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 24 of the 209 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 23reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 209 most recent posts we hold, published 7 August 2026 to 27 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.
#网友爆料：妙瓦底缅东三佛塔“瀑布”黑园区曝光。公司名字叫远程集团 坐标 ：15.233577°N 98.181230°E。股东叫二哥，大管叫佑东，组长有沐沐、 白骨、 无名、 陈怀、 凯撒。 大管从柬埔寨过来刚到一个月，手段极其恶劣惨无人道，砸手指，动用水刑、躺倒、脸上盖布倒水，每天凌晨两点下班，早上5点就要起来上班，上班犯困还要用手铐吊起来一整天，吊起来拳打脚踢。 公司极其黑暗，没有人性可言，买来的“猪仔”毫无人权，不允许和家里报平安，一仓库的电棍用来惩罚员工，屁股打烂了都得坐20个小时，在那里过着暗无天日的生活，园区全年无休。
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西港警方一天内抓获上百名涉毒人员 昨天下午至今天上午，西港省警察局禁毒警力对3分区3村一复杂区域展开扫毒行动，成功抓获104名涉毒人员（含1名女性）。 处理结果显示：95名吸毒者被送往戒毒所戒治；3名印尼籍人员移交遣返中心准备驱逐出境；6名柬籍主犯被移送法办。 西港警方呼吁公众积极举报毒品犯罪线索。
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#国内资讯：上海警方连破两起虚拟货币跨境资金案 28人落网 两案分别涉近200亿元和2亿余元 8月27日，上海市公安局在新闻发布会上披露两起利用虚拟货币实施非法跨境资金兑换、支付结算案件，共抓获28名犯罪嫌疑人。第一宗案件涉及一个以虚拟货币作为跨境换汇中间载体的特大地下钱庄犯罪网络，19名犯罪嫌疑人被抓，涉案资金近200亿元。 一、近200亿元地下钱庄案 刘某、徐某、高某、王某等人自2024年8月起招揽换汇客户，通过虚拟货币交易和境内外资金“对敲”，非法完成人民币与外币兑换，并按比例收取手续费。 资金流转方式为： 人民币 → 虚拟货币 → 境外出售 → 外币 → 客户指定境外账户 客户将人民币转入团伙控制的银行账户后，团伙联系币商购买虚拟货币，再通过境外渠道出售换成外币，最终转入客户指定的境外账户。 团伙内部人员分工明确。刘某负责联系客户和虚拟货币币商、下达转账指令；徐某、高某等人负责招募人员批量开设银行账户，用于…
缅甸边境地区，无力偿还赌债者被赌场转卖至诈骗团伙充当“诈骗劳工”。 25岁男子哥埃钦借款3万元人民币（约1800万缅元）输光后遭关押殴打，后被转卖。赌场还以“拉人抵债”方式，诱骗其找人来赌。 受害者被辗转送往多地诈骗窝点。哥埃钦冒险逃入山林获救，称留下“只有死路”。 佤邦当局虽曾打击诈骗，但活动仍未根绝，仅改头换面继续运作。近年已累计遣返无证中国公民逾8.8万人。
#菲律宾新闻 NBI突袭 #帕赛 卖淫团伙！5名越南女子获救🔥 近日菲律宾国家调查局近日在帕赛市展开反人口贩运行动，成功救出5名越南籍女子，并调查一个涉嫌组织商业性剥削的团伙。 案件线索显示， 一名越南籍人员涉嫌通过Telegram招募、联系客户，并安排女子前往酒店。NBI卧底人员随后假扮客人联系对方，最终锁定交易地点并展开营救。 行动中，警方先救出2名女子，随后根据线索搜查另一处公寓，再救出3人。警方在相关地点还发现疑似冰毒及吸毒工具。 目前5名女子均已获救，NBI正在继续追查幕后招募、安排住宿及联系客户的人员，并调查是否还涉及其他受害者。
#缅甸资讯：仰光前7个月查办11宗网络赌博案，案件数已超过去年全年 8月25日，缅甸仰光省议会公布网络赌博执法数据。2026年1月至7月，仰光共查办11宗网络赌博案件，抓获29人；同期查办358宗一般赌博案件，涉及501人。 2025年全年，仰光共查办9宗网络赌博案件，抓获27人。2026年前7个月的网络赌博案件数量已经超过去年全年。 部分网络赌博平台将服务器设在境外，资金通过缅甸境内的KBZPay、WavePay、AYAPay和私人银行账户流转，再通过电话、短信等方式招揽人员参赌，涉及学生、工人和公务员。 仰光已成立专门小组，继续排查网络赌博和网络诈骗活动，并追查涉嫌用于收付款的银行账户和移动支付账户。 390,978个涉嫌发送赌博推广短信的电话号码已被永久封停。这组39万余号码的数据早在7月就已公开，并不是本次公布的新增执法成果。
东帝汶联合部门展开突击行动，帝力捣毁跨国诈骗呼叫中心 8月27日凌晨、东帝汶移民局、警察信息局、刑事调查局组成联合执法队伍，在首都帝力梅蒂奥特地区，端掉一处藏匿在此的跨国网络诈骗呼叫中心。 执法人员直接对窝点开展突击清查，当场拘留16名外籍涉案人员，现场缴获大批用于电信诈骗的电脑、手机等关键技术作案设备，全部作为案件物证扣押。行动结束之后，所有被抓获的外籍嫌疑人全部移送至东帝汶国家警察PNTL，接受身份核验、讯问等全套调查流程。 随着周边国家持续严打电诈，不少诈骗团伙辗转流窜，把窝点转移到东帝汶落脚。当地多部门联动持续扫荡这类诈骗呼叫中心，对外籍跨国电诈犯罪保持高压打击。
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长期从事绑架杀人等暴力犯罪，罪行累累，多次策划并实施针对中国公民的严重暴力案件，手段残忍、性质恶劣！邱某某被遣返回国 中国驻菲律宾大使馆消息，8月26日晚，在中菲两国执法部门通力合作下，长期潜逃在菲绑架团伙头目邱某某被成功抓获并遣返回国。据悉，邱系恶贯满盈的施某某犯罪集团核心成员，该集团长期从事绑架杀人等暴力犯罪，罪行累累，多次策划并实施针对中国公民的严重暴力案件，手段残忍、性质恶劣，严重侵害了同胞的人身财产安全，造成极大社会危害。 邱某某被捕获后，曾千方百计阻碍遣返，企图逃避法律制裁。经驻菲使馆多方协调，克服重重障碍，邱最终被顺利遣返回国，接受法律严惩。 对于那些在异国他乡仍将黑手伸向同胞、罪孽深重的犯罪分子，无论其逃得多远、藏得多深，中国警方都将一追到底，虽远必擒！我馆将继续坚决捍卫在菲中国公民的合法权益，绝不允许任何犯罪分子在菲逍遥法外！
#缅甸资讯：木姐地区查获3名涉网络诈骗及赌博活动中国籍人员 据缅甸当地媒体CNA于8月26日报道，缅甸掸邦北部木姐镇区近日查获3名涉嫌从事网络诈骗及网络赌博活动的中国籍男子，并缴获一批相关设备及物资。 据报道，当地安全部门在接获居民举报后展开调查，并根据相关线索进行搜查。8月26日上午，执法人员在距离木姐镇东南方向约26公里、曼派村以南约5公里处发现一处疑似网络诈骗及赌博活动据点，并对现场人员及设施进行查处。 此次行动中，共有3名中国籍男子被捕。据称，3人涉嫌非法越境进入缅甸，并在当地利用临时搭建的住所和工作帐篷开展网络诈骗及赌博相关活动。 执法人员现场查获包括25部手机、5台一体式电脑、2台便携式电源、1套Starlink卫星互联网设备、10部对讲机以及其他工作设备在内的物品。同时，现场还发现相关建筑物及5顶临时帐篷。 据当地方面介绍，该团伙主要依靠搭建临时居住及工作设施开展相关网络活动。被捕人员目前正在接受进一步调…
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缅甸佤联军再向中国移交72名涉诈人员，作案设备及证据同步移交 8月26日，佤联军发布通报，近期在佤邦地区抓获72名涉嫌网络诈骗的中国籍人员，并于当天通过勐阿口岸移交中国方面处理，相关作案设备及证据材料也一并移交。 这批人员此前从境外再次进入佤邦控制区。当地根据掌握的线索和日常排查锁定藏匿地点后展开抓捕，最终将72人全部控制。 佤联军表示，将继续清查辖区内的网络诈骗活动，无论涉诈人员藏匿在哪里，一旦发现都会继续追查处理。
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菩萨省5号公路半夜查电诈人员？还可以协商解决？ 一名柬埔寨网友发帖称，车牌号为“金边 2CC-1919”的车主到底是什么人？竟在半夜开车拦停路过民众的车辆，盘问车上的中国人是不是搞网络诈骗的，还称如果是搞网诈的“可以私下协商解决”。 随后他竟还声称“新法律不允许外国人沿路通行”，这难道符合规定吗？ 该事件发生在菩萨省5号国道沿线。网友请上级部门协助调查核实，此人究竟是执法人人员还是假警察？
#缅甸资讯：大其力“红尼乌”（ရောင်နီဦး）园区打着休闲公园幌子死灰复燃，重新经营“诈骗园区”，由中国人“三哥”带头，约有400人 8月26日，据实地调查了解，在掸邦东部大其力市的“红尼乌”（ရောင်နီဦး）园区内，各方打着“休闲公园项目”的招牌作掩护，在各个角落重新开设并运营电信诈骗（网赌电诈）业务，同时还向曼德勒市走私贩运DU品。 据悉，该“红尼乌”地块的拥有者是一名“佤”族（Wa）商人。起初，该地块由中国籍人员租赁并建造房屋，用于从事网络赌博和电诈业务，但后来由于“保护费”（通路费）不断上涨，大多数中国人员纷纷撤离。 经多方核查了解，目前该园区由当阳（Tanyang）籍华人“三哥”及其4位兄弟继续带头管理和运营。 一名消息人士透露：“其经理名叫王中（音译）。在公墓附近还开设了一家赌场。最核心的人物是‘三哥’，他是当阳人，目前住在和尚大其力。他靠电诈发家致富。 军方一直在盯着他们，而红尼乌园区甚至在夜间还…
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Showing the 12 most recent of 209 posts we hold for @cgssbb. 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.
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.
Telegram’s own answer, not this register’s.When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.
Read from Telegram’s recommendation API, most recently 26 August 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.
The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.
This channel appears in 1 seed channel's Telegram-generated recommendation list in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
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 27 August 2026 — this entry's latest reading, not the date you are reading this.
“东南亚华人新闻曝光” (@cgssbb), 53,339 subscribers as measured 27 August 2026. Telegram Register, tgregister.com/channel/cgssbb.
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.