Channel
@hwhrbg
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Telegram's recommendations · Cite this entry
34,674subscribers
-467 since we began measuring on 12 August 2026
Risers and fallers across the register · movement among entries of 31,623–100,000.
| Telegram ID | -1002118462570 |
|---|---|
| Type | Channel |
| Username | @hwhrbg |
| Created | Between 1 November 2023 and 31 May 2024— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 12 August 2026 |
| Last confirmed live | 15 August 2026 |
| Measurements held | 3 |
| Confirmed unchanged | 1 time, most recently 15 August 2026 |
| On Telegram | t.me/hwhrbg |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 15 Aug 2026, 00:12 | 34,674 | -82 |
| 13 Aug 2026, 13:17 | 34,756 | -385 |
| 12 Aug 2026, 13:16 | 35,141 | first reading |
22 posts held, back to 12 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 5 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 1 of 21 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 14 August 2026 |
|---|---|
| Posts held | 22 (12 August 2026 – 14 August 2026) |
| Views total | 7,181 |
| Reactions total | 1 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 14 Aug 2026, 13:39 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.
Measured directly from 3 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.
1 reaction across 1 post, in 1 kind.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 1 | 100.0% |
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 1 of the 22 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 1reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 22 most recent posts we hold, published 12 August 2026 to 14 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.
#最新消息：8月14日中午12时30分左右，西港宪兵对Borey Kl区域展开突袭行动。 据现场消息称，行动开始后，现场人员出现恐慌，大量人员试图逃离。期间发生推搡混乱，有人选择从楼顶翻越逃跑，过程中造成意外受伤；另有人员因坠落导致腿部骨折，随后被执法人员控制。 据悉，部分涉嫌违法活动的人员趁现场混乱逃离，目前仍有部分成员下落不明。相关部门正在进一步调查，并对现场人员身份及涉及情况进行核实。
等待遣返的推子们，老家来人看你们了～～ 今天上午，中国公安部刑事侦查局局长姜国利一行前往茶胶省巴地遣返准备中心，实地考察了该中心，核查涉案人员遣返前的人道羁押条件及法律程序。 柬埔寨移民总局调查与程序执行局局长尤萨伦接待了姜国利一行，双方高度评价两国在打击跨国网赌电诈中的密切合作。姜国利对柬方的高效协助表示感谢。
公安部上周公布了网络空间监督检查办法，对国内的灰产，可以说是灭顶之灾 首先，无论你是什么角色，公安都有权对你强制检查 你居住地的派出所警察都可以随时进你家门对你的网络和电子设备进行检查
太子集团关键人物陈星曝光，旗下傲胜国际曾投资刘德华电影 近日，OCCRP与《海峡时报》联合调查确认，美国起诉书中代号“第二同谋者”的人物为陈星。调查显示，陈星曾担任太子集团旗下傲胜环球投资集团董事长，并在多个国家和地区拥有复杂的公司及资产网络。 与此同时，他关联的傲世娱乐文创还曾参与投资刘德华、刘青云主演的电影《拆弹专家2》。 美国检方指控他是太子集团的“打手”，负责通过腐败交易和其他手段，帮助集团应对警方调查。 该调查称，这名关键角色名叫陈星，1986年出生于上海。他在2017年底获得柬埔寨国籍后，改名为陈索利（Chen Sokly）。
#网友爆料：柬埔寨资金盘诈骗项目“辉瑞中国”，套取正规公司名字进行集资诈骗，超过近万人收到欺骗，专骗国内中老年人！ 项目中组长小鱼，人设名李云辉，曾在财通金运园区创大公司当狗推，手下团队长张宝莲、郭宝根等人，都是老年人被骗的家破人亡！现担任波贝诈骗公司乐鑫集团管理，继续以李云辉名字在辉瑞资金盘项目中收割，实行高压控制。另外，组长盒子也曾在创大集团。 我在当其助理时，经常遭受其殴打，还有跑路的前任总监“好运”也是如此。另外组长“天成”，人设名字张赫。老子辛辛苦苦地敲键盘骗人，整天被你们打，动不动问候家人，一点错就是一巴掌，电棍都是家常便饭。形式这样了，他妈的还不给我走，我要走直接送到移民局。 我现在回国了，你们等待我的报复吧！ 所有会员，我都会去打电话举报你们。被你们骗过、收割过的人不在少数吧？还有广西团队的农品清等人，台湾团队徐敏蓉，河南平顶山郭果，人家80多岁的老太婆帮你做团队，你们忍心骗人家的钱？ 放心，我一个都不…
海外华人曝光 pinned Deleted message
#马来西亚资讯：“中国神棍党”横行沙巴东西海岸！12人落网，涉案金额至少60万令吉 马来西亚沙巴近日破获一起涉嫌以“驱邪改运”“算命治病”为幌子的诈骗案，一个被称为“中国神棍党”的团伙涉嫌在亚庇、兵南邦及山打根等地活动，至少涉及5至6宗案件，累计损失金额超过60万令吉。 据了解，嫌犯通常以草药治病、驱邪改运等借口接近受害者，再将其介绍给所谓的“算命大师”。随后以施咒、祭拜等名义，诱骗受害者交出现金及金饰。 在得手后，嫌犯会趁机将贵重财物调包成杂物，并要求受害者暂时不要打开袋子，以争取时间逃离现场。 警方目前已逮捕12人，包括10名女性和2名男性，其中至少7人为中国籍女子。警方同时起获5辆汽车、13部手机、7本护照，以及总额约2万令吉的多国现金。 落网嫌犯目前已被依法延扣，警方将进一步调查，并根据诈骗相关法律展开提控。 PS：神棍 竟搞这些歪门邪道的东西~~~
泰国再查扣陈志1.15亿资产 8月13日，泰国反洗钱办公室（AMLO）透露，交易委员会已决定追加查扣柬埔寨太子集团创始人陈志431项资产，涵盖现金、黄金、地产及数字资产等，价值约1.15亿泰铢。 此前泰国已依法查扣其3.45亿泰铢资产并由法院审理中。至此，泰方已累计查扣陈志相关资产约4.6亿泰铢。
#最新消息：2026年8月14日上午，老挝相关外国人管理部门与经济保护警察部门开展联合行动。沙湾拿吉省指挥部门查获一批涉嫌从事电信诈骗（电话中心）活动的外国人员。 此次行动共抓获72人，其中包括8名女性。经初步调查，部分人员涉嫌非法入境、非法出境及相关走私活动。 被查获人员包括：52名中国公民，其中1名女性；8名越南公民，其中4名女性；1名缅甸公民，其中1名女性；1名菲律宾公民，其中1名女性；3名非洲籍人员，其中1名女性；1名喀麦隆公民；2名其他非洲国家公民，以及4名埃塞俄比亚公民。 目前，涉案人员已移交有关部门，后续将按照老挝人民民主共和国相关法律程序进行进一步调查和处理。
干拉省重新查封11处涉嫌网赌电诈可疑窝点 今天，干拉省副省长黑索莫卡拉率联合工作组，对此前查封的11处涉嫌网赌电诈的场所进行例行复查与重新加贴封条。 经实地搜查，该11处大楼内未发现任何异常变动或偷摸复工的非法迹象，此前封条脱落系风雨侵蚀所致。联合工作组核查无误后制作笔录，并对所有场所实施二次封封，以严防非法活动卷土重来。
#群友爆料：柬埔寨西港娜塔莉酒店二楼的台湾精聊盘，盘总与股东：豪哥、东哥；总监：天运赢。 从一进公司就在那吹牛逼，说自己的关系如何如何硬。信了你的鬼话，在柬埔寨形势如此严峻的情况下坚持开工。 2026年6月2号，直接被宪兵包围酒店，抓了盘口的11个人。一直在说找关系捞出去，我想问一下，你到底捞出去几个人？看看你的组长跟员工在金边机场被遣返回国的时候，那一脸的迷茫与彷徨。 前前后后，我被关了两个多月，现在我出来了。给你三天时间，此事如果还不出来处理，我先把九万给指证出来。九万跟东哥是一个地方的人，到时候我就不信搞不到你！
美方谈柬埔寨打击电诈：要追查幕后主脑和“保护伞” 据报道，8月13日，据美国驻柬埔寨大使馆消息，美国驻柬使馆临时代办亚历克斯·齐特尔，近日会见柬埔寨司法部长高乐（Koeut Rith），双方重点讨论柬埔寨打击电诈及跨国犯罪问题。 会谈中，美方表示支持柬埔寨打击包括电诈在内的跨国犯罪，并关注柬埔寨落实《打击网络诈骗法》的情况。 美方特别强调，打击电诈不仅要针对具体实施诈骗的人员，还应深入调查并起诉诈骗集团背后的幕后主脑，以及为诈骗活动持续运作提供便利和支持的相关人员。 双方还就美国向柬埔寨提供的技术援助进行了讨论。美方称，目前正通过相关技术支持，协助柬埔寨应对在境内运营网络诈骗中心的跨国犯罪集团所带来的威胁。 美国方面表示，未来将继续与柬埔寨加强执法合作，共同打击跨国犯罪网络，并保护美国公民及其他受害者免遭诈骗集团侵害。
Showing the 12 most recent of 22 posts we hold for @hwhrbg. 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.
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 15 August 2026 — this entry's latest reading, not the date you are reading this.
“海外华人曝光” (@hwhrbg), 34,674 subscribers as measured 15 August 2026. Telegram Register, tgregister.com/channel/hwhrbg.
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.