金边女美发师遭男友杀害!被抢首饰摩托车后逃逸 金边市贡武区发生一起残忍命案。一名34岁女美发师布拉·玛丽斯被同居于家中的男友杀害,弃尸阁楼。警方初步调查称,凶手疑用枕头闷压死者面部并掐颈致其窒息死亡,随后劫走其首饰及一辆本田Click摩托车逃逸。 据了解,死者为寡妇,育有一女。她与涉案男友已交往逾一年,案发前晚两人同宿家中,未见争执。直至9月7日中午,母亲登门才发现女儿赤裸陈尸阁楼,惊恐报警。 目前专业警员已到场勘验,正追查嫌疑人身份及下落,遗体已交还家属办理后事。
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Channel
@GGooGG66
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Telegram's recommendations · Cite this entry
139,897subscribers
+21,881 since we began measuring on 9 August 2026
Risers and fallers across the register · movement among entries of 100,000–316,228.
| Telegram ID | -1001612596266 |
|---|---|
| Type | Channel |
| Username | @GGooGG66 |
| Description | 频道每日分享要点资讯,时事新闻,社会热点,安危事件,曝光爆料,生活分享,华人求助,让您一个频道看尽世间百态! ————————————————- #东南亚 #柬埔寨 #泰国 #马来西亚 #老挝 #金三角 #缅甸 #越南 商务爆料: @xiaoxiaoY097 |
| Created | Between 1 December 2021 and 30 April 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 9 August 2026 |
| Last confirmed live | 5 September 2026 |
| Measurements held | 24 |
| Confirmed unchanged | 1 time, most recently 5 September 2026 |
| On Telegram | t.me/GGooGG66 |
Gambling & betting — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 9 August 2026 and assigned it the closest of 31 fixed categories, at 49% 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 |
|---|---|---|
| 5 Sept 2026, 17:16 | 139,897 | -1,210 |
| 3 Sept 2026, 13:42 | 141,107 | -1,439 |
| 2 Sept 2026, 06:09 | 142,546 | -492 |
| 1 Sept 2026, 05:08 | 143,038 | +440 |
| 31 Aug 2026, 06:09 | 142,598 | +2,392 |
| 30 Aug 2026, 04:56 | 140,206 | -903 |
| 29 Aug 2026, 02:15 | 141,109 | -983 |
| 28 Aug 2026, 02:12 | 142,092 | -33 |
| 27 Aug 2026, 00:29 | 142,125 | +2,208 |
| 26 Aug 2026, 01:36 | 139,917 | +444 |
| 25 Aug 2026, 01:54 | 139,473 | +5,522 |
| 23 Aug 2026, 16:37 | 133,951 | +4,663 |
| 22 Aug 2026, 00:17 | 129,288 | -851 |
| 20 Aug 2026, 21:43 | 130,139 | +1,904 |
| 19 Aug 2026, 19:52 | 128,235 | -120 |
| 18 Aug 2026, 21:35 | 128,355 | +2,411 |
| 17 Aug 2026, 19:37 | 125,944 | -560 |
| 16 Aug 2026, 19:13 | 126,504 | +4,328 |
| 15 Aug 2026, 10:26 | 122,176 | +2,332 |
| 14 Aug 2026, 00:36 | 119,844 | first reading |
462 posts held, back to 9 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 61 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 418 of 451 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 8 September 2026 |
|---|---|
| Posts held | 462 (9 August 2026 – 8 September 2026) |
| Views total | 3,055,503 |
| Reactions total | 11,144 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 8 Sept 2026, 04:05 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 8 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 102 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.
11,371 reactions across 429 posts, in 10 distinct kinds. The most used accounts for 39.7% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 4,518 | 39.7% | |
| 👍 | 1,665 | 14.6% | |
| 🔥 | 1,508 | 13.3% | |
| 🎉 | 1,492 | 13.1% | |
| 🥰 | 451 | 3.97% | |
| 😍 | 448 | 3.94% | |
| 🤩 | 436 | 3.83% | |
| 💯 | 428 | 3.76% | |
| ❤🔥 | 395 | 3.47% | |
| 👏 | 30 | 0.264% |
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 429 of the 462 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 11,371 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 462 most recent posts we hold, published 9 August 2026 to 8 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.
金边女美发师遭男友杀害!被抢首饰摩托车后逃逸 金边市贡武区发生一起残忍命案。一名34岁女美发师布拉·玛丽斯被同居于家中的男友杀害,弃尸阁楼。警方初步调查称,凶手疑用枕头闷压死者面部并掐颈致其窒息死亡,随后劫走其首饰及一辆本田Click摩托车逃逸。 据了解,死者为寡妇,育有一女。她与涉案男友已交往逾一年,案发前晚两人同宿家中,未见争执。直至9月7日中午,母亲登门才发现女儿赤裸陈尸阁楼,惊恐报警。 目前专业警员已到场勘验,正追查嫌疑人身份及下落,遗体已交还家属办理后事。
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棉森婉向患病退伍军人捐赠新居:铭记忠诚奉献 柬埔寨人民党高级官员棉森婉近日亲赴柴桢省,将一套新建住房赠与曾驻守边境的患病军人桑·萨伦,助其安养。桑·萨伦此前在边境执行防卫任务时受伤,后病情加重,被迫回乡治疗。由于原有住房简陋残破,棉森婉即出资为他建起宽8米、长12米的新房,并额外送上大米、日用品和慰问金。交接仪式上,棉森婉转达了洪森、洪玛奈对军属的亲切问候,强调国家始终感恩军人的牺牲与奉献。她同时要求地方当局持续关心军属需求,落实医疗保障等政策,确保前线战士无后顾之忧。此举被视作政府关怀军人家庭的又一真切体现。
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柬女子死亡引冲突:村民烧护林站,官方否认责任 9月6日,拉塔纳基里省伦帕野生动物保护区一副护林站遭村民纵火烧毁。起因是19岁布农族女子萨利恩在传统采金点死亡。村民指控环境官员追赶,致其恐慌心脏病发;官方否认,称系摩托车事故。家属称她因受惊吓坠车。环境部门指官员仅‘劝离’非法采金者,谴责‘诽谤、煽动暴力及破坏公物’,已锁定嫌疑人,待葬礼后调查。类似事件2023年在桔井省也曾发生。
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园区接连被清零后,很多归国“狗推”真正面对的,不只是回国,而是回国之后怎么活下去。 不少人原本只是普通打工者,被骗出境后被迫参与诈骗。回国以后,境外涉诈经历成了甩不掉的标签,就业成了第一道难关。国企、事业单位、公职、参军、网约车、快递、安保、金融等工作都会受到不同程度影响,进厂、学技术、做小工也可能因为背景筛查被拒。有些企业即使愿意录用,也会压工资、区别对待。 我回国后同样尝试过找工作,但屡屡碰壁。没有稳定收入、没有长期出路,是很多归国人员最现实的困境。有人回国半年到一年后花光积蓄,最后又被境外团伙用高薪诱惑,再次偷渡出去,重新掉进“被骗、遣返、再被骗”的死循环。 除了就业,更难熬的是精神创伤和社会偏见。很多人经历过囚禁、殴打和胁迫,但回国后仍会被直接当成“自愿搞诈骗的人”。家人的不理解、亲友疏远、邻里议论和网络谩骂,让不少人越来越封闭、自卑,逐渐与社会脱节。 司法处置同样让很多人难以重新开始。有的人在园区里只是养号、打…
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柬埔寨副首相旺西·维索主持筹备会,推进科技反诈国际会议 9月7日上午,柬埔寨副首相兼首相府部长、国际反科技诈骗会议筹备委员会主席旺西·维索,在首相府主持第7次筹备会议。会议重点审议工作进展并协调剩余任务,涵盖会议内容、宣传推广、礼宾接待及安保安排,同时讨论应对风险与挑战的方案,确保会议顺利举行。 据悉,柬埔寨将于9月23日至24日在金边主办主题为“团结切断和终结科技诈骗”的国际会议,届时将邀请区域及全球多国与国际组织代表参加。此次会议旨在加强国际合作,共同打击日益猖獗的网络与电信诈骗犯罪。
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柬埔寨正式启动2026-2031眼健康治理项目 柬埔寨卫生部于9月7日正式启动2026-2031年眼健康治理项目及世界卫生组织SPECS 2030战略,旨在强化眼健康体系、提升服务覆盖率,推动全民眼健康目标。项目总预算约560万美元,由澳大利亚政府及弗雷德·霍洛基金会资助。柬埔寨眼盲率已降至0.37%,现有眼科专家超200人、视光人员超700人。卫生部长钱拉呼吁各方协作,确保‘不让任何人被落下’。
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柬埔寨成人识字率升至85.5%,UNESCO驻柬代表盛赞:识字是基本权利与终身学习基石 9月7日,柬埔寨在腊塔纳基里省举办第26届国家扫盲日庆祝活动,主题为“扫盲促进包容性优质教育”。UNESCO驻柬代表Flavio Bonetti致辞强调,识字是基本权利和终身学习的基础,并高度评价柬埔寨将成人识字率提升至85.5%,同时推进多语言教育、工厂扫盲及同等学历项目。柬埔寨副首相兼教育部长韩春那洛公布四大战略:强化优质扫盲、提升包容性扫盲、发展数字素养与终身学习、加强多方合作,并宣读洪玛奈首相的六点建议,包括完善扫盲政策、关注弱势群体、设立社区学习中心、工厂职业培训、媒体宣传及加强伙伴关系,以推动全民优质教育。
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柬埔寨庆祝第26届国家扫盲日 教育部长强调扫盲促包容性教育 9月7日,柬埔寨副首相兼教育、青年与体育部长韩春那洛在腊塔纳基里省主持第26届国家扫盲日庆祝活动,主题为“扫盲提升包容性教育质量”。联合国教科文组织驻柬代表弗拉维奥·博内蒂出席并赞扬柬埔寨成人识字率已达85.5%,同时推动多语言教育及工厂扫盲项目。韩春那洛指出,当代扫盲不仅涵盖读写算,还应包括数字素养、批判性思维及职业技能培训,以应对数字时代需求。他提出四大战略:加强优质扫盲、推进包容性扫盲、发展数字扫盲与终身学习、强化伙伴合作。活动上还宣读了洪玛奈总理的六项建议,包括扩大扫盲政策、关注少数民族和弱势群体、设立社区学习中心、鼓励企业开展员工扫盲培训、加强媒体宣传及多方合作等。
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柬水利部长赴实居省检查拦水坝及抽水救稻工作 (金边讯)2026年9月7日,柬埔寨水利气象部长托·杰塔率工作组赴实居省,实地检查小河流域拦水坝及水稻抽水救灾工作。他先后查看受灾稻田和泵站运转情况,要求加快排涝、减少农民损失。实居省水利部门通报称,截至9月初,已动用65匹马力移动泵组、电动泵站和开挖排水渠等方式,对14,285公顷雨季稻田完成排涝救助;目前正继续对约11,898公顷受淹稻田抽水排水。当天,部长还视察了小河流域拦水坝。该坝属金边及周边防洪排涝项目,可分流每秒约300立方米水量,经实居、干拉两省排入茶胶省巴蒂河,最后注入百色河,将有效缓解下游洪灾风险。
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Showing the 12 most recent of 462 posts we hold for @GGooGG66. 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 1 registered channel — 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 14 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 17 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 5 September 2026 — this entry's latest reading, not the date you are reading this.
“东南亚华人漂泊日记-柬埔寨大事件曝光” (@GGooGG66), 139,897 subscribers as measured 5 September 2026. Telegram Register, tgregister.com/channel/GGooGG66.
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.