Channel
@rjjjj
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Telegram's recommendations · Cite this entry
43,080subscribers
-1,944 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 31,623–100,000.
| Telegram ID | -1002239365945 |
|---|---|
| Type | Channel |
| Usernames | @baoguangad @rjjjj |
| Description | #柬埔寨 #老挝 #泰国 #缅甸 #东南亚 我们专注东南亚以及国内重大新闻事件，时刻更新动态，真假难辨，谨慎吃瓜。 📝 免费投稿 @NANA 🎁礼物交易 @kang 👉音乐频道 @DJAAA 👉交流大群 @DDDDA Hello @Telegram My channel has not violated the rules and policy of using Telegram |
| 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 | 19 September 2026 |
| Measurements held | 61 |
| Confirmed unchanged | 1 time, most recently 19 September 2026 |
| On Telegram | t.me/rjjjj |
Other / unclassifiable — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 9 September 2026 and assigned it the closest of 31 fixed categories, at 44% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and why it has no browse page of its own yet.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 19 Sept 2026, 04:17 | 43,080 | -284 |
| 17 Sept 2026, 05:59 | 43,364 | -14 |
| 16 Sept 2026, 15:59 | 43,378 | +2,725 |
| 15 Sept 2026, 09:02 | 40,653 | -154 |
| 14 Sept 2026, 20:41 | 40,807 | -846 |
| 13 Sept 2026, 18:17 | 41,653 | -124 |
| 13 Sept 2026, 06:40 | 41,777 | -285 |
| 12 Sept 2026, 02:19 | 42,062 | -86 |
| 11 Sept 2026, 10:39 | 42,148 | -386 |
| 9 Sept 2026, 15:01 | 42,534 | -221 |
| 8 Sept 2026, 13:41 | 42,755 | -316 |
| 6 Sept 2026, 09:55 | 43,071 | -129 |
| 5 Sept 2026, 10:56 | 43,200 | -271 |
| 4 Sept 2026, 00:37 | 43,471 | -52 |
| 3 Sept 2026, 12:41 | 43,523 | -130 |
| 2 Sept 2026, 14:18 | 43,653 | -52 |
| 2 Sept 2026, 09:17 | 43,705 | -153 |
| 1 Sept 2026, 14:44 | 43,858 | -34 |
| 1 Sept 2026, 10:55 | 43,892 | -178 |
| 31 Aug 2026, 15:25 | 44,070 | first reading |
343 posts held, back to 5 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 92 pages of 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 156 of 199 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 24 September 2026 |
|---|---|
| Posts held | 343 (5 August 2026 – 24 September 2026) |
| Views total | 130,774 |
| Reactions total | 610 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 24 Sept 2026, 10:20 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 24 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.
Measured directly from 57 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.
792 reactions across 249 posts, in 23 distinct kinds. The most used accounts for 39.1% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 310 | 39.1% | |
| ❤ | 124 | 15.7% | |
| 💩 | 43 | 5.43% | |
| 💔 | 35 | 4.42% | |
| 😈 | 34 | 4.29% | |
| 😡 | 32 | 4.04% | |
| 😢 | 32 | 4.04% | |
| 🤬 | 30 | 3.79% | |
| 👎 | 29 | 3.66% | |
| 🖕 | 28 | 3.54% | |
| 🤮 | 28 | 3.54% | |
| 🍌 | 21 | 2.65% | |
| 🔥 | 12 | 1.52% | |
| 👏 | 8 | 1.01% | |
| 🥰 | 7 | 0.884% | |
| 🙏 | 4 | 0.505% | |
| 🤣 | 4 | 0.505% | |
| ❤🔥 | 3 | 0.379% | |
| ⚡ | 2 | 0.253% | |
| 🎉 | 2 | 0.253% | |
| 3 further kinds | 4 | 0.505% |
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 254 of the 343 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 792 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 343 most recent posts we hold, published 5 August 2026 to 24 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.
#柬埔寨资讯：班迭棉吉省波贝市开展行政检查，查处18名涉嫌涉诈中国籍人员 9月23日，班迭棉吉省行政统一指挥委员会继续在波贝市开展外国人及相关场所行政检查行动。此次行动共检查8处地点，其中2处因涉嫌涉及网络诈骗活动被查处。 行动期间，共发现69名外国人，其中女性20人，包括51名印度尼西亚籍人员（女性20人）和18名中国籍人员。其中，51人证件齐全，另有18人因无法出示合法证件被查处。 在奥鲁瑟分区，执法人员检查2处涉嫌涉及网络诈骗的地点，现场发现18名非法居留的中国籍人员，并查获一体机电脑12台、笔记本电脑2台、手机16部、中国警服1件及其他相关物品。 其余检查情况如下： 波贝分区：检查2处地点，发现8名印度尼西亚籍人员，其中女性6人，均持有合法证件，未发现涉及网络诈骗活动。 奥秋鲁分区：检查2处地点，发现42名印度尼西亚籍人员，其中女性14人，均持有合法证件，未发现涉及网络诈骗活动。 中央市场分区：检查2处地点，…
❤1
中国公安部代表团参访柬埔寨巴地待遣返中心 今天上午，柬埔寨移民总局代表凯萨林与调查和程序执行局局长尤萨伦，陪同由中国公安部副部长杨维林率领的代表团，参访了茶胶省巴地待遣返中心。 参访期间，柬中双方对内政部与中国公安部在打击跨国犯罪、维护两国社会安全与秩序方面的紧密合作给予了高度评价。 老家来人探望被关押的狗推～～ ——————————————— ⚡全网曝光：@RJJJJ 😀免费投稿：@nana
👍1🔥1
#国际新闻：🇨🇳习近平到🇺🇸美国与特朗普会面 ——————————————— ⚡全网曝光：@RJJJJ 😀免费投稿：@nana
❤1
西港突查！7名中国人被抓，现场查获近1吨DU品和一批军火 9月23日，柬埔寨水警边防部门在西哈努克省竹岛（Koh Russey）一带展开行动，打击DU品和非法武器交易。 行动中，警方抓获7名中国籍人员，并查获车辆等作案工具、近1吨DU品以及多支长短枪械。 ——————————————— ⚡全网曝光：@RJJJJ 😀免费投稿：@nana
👍3🔥1
柬泰边境发现大批电脑设备 9月22日，泰国尖竹汶府边境巡逻人员在靠近柬埔寨拜林省的农田棚屋内，发现57箱可疑物品，包括电脑设备、零部件、行李及护照等文件，目前已全部扣押调查。 据报道，拜林省此前下令沙拉考当地赌场及网赌场所在9月30日前停止运营。泰方怀疑，这批设备可能与相关网赌场所转移有关，从柬埔寨经非正式通道运入泰国，目前警方正追查物品来源及相关人员。 ——————————————— ⚡全网曝光：@RJJJJ 😀免费投稿：@nana
👍2
#柬埔寨资讯：金边丹戈区查获7名孟加拉籍人员，缴获22部手机及3台笔记本电脑 9月22日（星期二），金边市丹戈区联合指挥部继续对位于丹戈分区马尔村6街25号Borey Lay Kong的一处外国人管理场所开展检查。 行动期间，执法人员发现并控制7名外籍人员，经查均为孟加拉国籍。现场同时查获相关证据，包括：笔记本电脑3台，手机22部，其中9部为个人使用手机，13部被指用于网络诈骗。 目前，7名涉案人员及现场查获的相关证据已被移送金边市警察局依法立案调查，并将按照程序将案件移送金边市法院，依法追究相关责任。 ——————————————— ⚡全网曝光：@RJJJJ 😀免费投稿：@nana
👍1
#泰国资讯：春武里警方突袭别墅，3名中国女子获救，4名中国男子被捕 9月23日凌晨，泰国警方联合移民部门、旅游警察等多部门，在春武里府邦拉蒙县达坚提亚地区突袭一处两层别墅，成功解救3名中国籍女子，并控制4名中国籍男子。 据当地警方通报，案件起因于其中一名女子通过微信向国内亲属发送求救信息，称自己可能遭到囚禁，并将所在别墅的位置发送给亲属。警方接报后迅速组织20余名警力展开行动。 警方进入住宅后，在一楼发现2名中国女子，同时控制1名中国男子；随后在二楼发现另外3名中国男子，并在另一间卧室内找到第3名中国女子。警方称，该女子当时身穿睡衣，身体状况较差且十分恐惧。 经初步调查，3名女子年龄分别为36岁、32岁和23岁。她们向警方表示，此前有人以提供“娱乐工作”为由联系并将她们带到该住宅，抵达后却遭到限制人身自由，并称遭到性侵，期间对方还向她们在中国的亲属索要赎金。相关说法目前仍由警方进一步调查核实。 警方在现场发现一条长铁链…
#曝光 骗子 过程就是他跟我说他有老人料45%的点位，我叫他排单子江西的，然后他给了我两个单子叫我去拉皇冠担保 我担保拉好以后发链接给他，然后就莫名其妙的进来了，两个人，其中一个冒充皇冠担保就发出上压地址，我没留意就亲信了那个地址转完押金以后，他们把群里所有聊天记录删了 还假装自己也是受害者，后来他们就退群了 一共骗了我3200u ——————————————— ⚡全网曝光：@RJJJJ 😀免费投稿：@nana
❤1👍1
🇹🇭 泰国警方救出3名被扣中国女子 逮捕4名涉案中国男子 今天清晨，泰国警方在春武里府邦拉蒙县一栋两层别墅内救出3名中国籍女子（年龄在23至36岁之间）。此前，其中一人向亲戚发送求救信息后报警。 受害女子称，她们原本应聘从事娱乐行业工作，抵达后却遭到非法拘禁与性侵，其家属随后还被索要赎金。 警方在现场逮捕了4名涉嫌非法入境且无护照的中国籍男子，并缴获铁链、避孕套及涉毒物品。目前警方正在深入调查案件细节及其他涉案人员。 ——————————————— ⚡全网曝光：@RJJJJ 😀免费投稿：@nana
缅甸佤邦司法委向中方移交64名跨境涉诈涉案人员 9月22日，佤邦司法委联合中方执法部门，在云南普洱孟连勐啊口岸开展跨境涉案人员移交工作，依法向中方移交64名跨境涉诈、涉案人员。 本次移交人员包含63名涉诈犯罪嫌疑人、1名涉案嫌疑人。双方现场完成人员身份、法律文书、案件证据核验工作，同步移交全部涉案作案工具，全程交接规范高效。 据悉，该批涉诈回流人员由其他境外地区流窜至佤邦，妄图继续从事电信网络诈骗活动。佤邦司法委依托自主情报网络和日常巡查机制，逐步掌握该批涉诈回流人员所藏匿窝点的线索，并锁定相关涉诈隐蔽窝点。经过侦查和周密部署，执法人员对犯罪窝点实施突击抓捕，成功捣毁数个涉诈窝点，共抓获63名中国籍涉诈人员，现场查获一批作案工具。 此次行动有效震慑跨境电诈犯罪，充分体现中佤跨境警务协作的高效性。双方将持续深化联合打击、情报互通工作，高压整治各类跨境违法犯罪，稳固边境安全秩序。 ——————————————— ⚡全网曝光：…
👍1
#国内新闻 警方捣毁虚拟货币换汇团伙，涉案超200亿！ ——————————————— ⚡全网曝光：@RJJJJ 😀免费投稿：@nana
#柬埔寨新闻 柬排雷机构与联合国开发计划署商讨加强合作 9月21日，柬埔寨排雷行动中心总监兴拉达那会见联合国开发计划署驻柬代表加韦利亚及其团队，双方就加强排雷合作进行讨论，内容包括支持清雷行动、人员培训及排雷专业知识的国际交流。 兴拉达那表示，排雷行动中心由联合国于1992年成立，1993年转为国家机构，政府首相一直担任理事会主席。他感谢开发计划署长期支持柬埔寨排雷工作，并通报泰国侵略行为遗留爆炸物影响约9万户家庭、逾35万人，涉及住房、安全及农地等基本权利。 ——————————————— ⚡全网曝光：@RJJJJ 😀免费投稿：@nana
👍3
Showing the 12 most recent of 343 posts we hold for @rjjjj. 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.
Named by 12 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.
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 27 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 24 seed channels' Telegram-generated recommendation lists 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 19 September 2026 — this entry's latest reading, not the date you are reading this.
“全网曝光” (@rjjjj), 43,080 subscribers as measured 19 September 2026. Telegram Register, tgregister.com/channel/rjjjj.
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.