Channel
@GGooGG66
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Telegram's recommendations · Cite this entry
150,280subscribers
+32,264 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 | 25 September 2026 |
| Measurements held | 31 |
| Confirmed unchanged | 1 time, most recently 25 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 |
|---|---|---|
| 25 Sept 2026, 22:21 | 150,280 | +572 |
| 19 Sept 2026, 04:19 | 149,708 | -4,917 |
| 16 Sept 2026, 16:01 | 154,625 | +2,925 |
| 14 Sept 2026, 22:39 | 151,700 | +2,146 |
| 13 Sept 2026, 09:55 | 149,554 | -1,905 |
| 11 Sept 2026, 13:17 | 151,459 | +8,883 |
| 8 Sept 2026, 22:36 | 142,576 | +2,679 |
| 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 | first reading |
783 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 102 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 500 of 504 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 27 September 2026 |
|---|---|
| Posts held | 783 (9 August 2026 – 27 September 2026) |
| Views total | 5,614,347 |
| Reactions total | 10,850 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 27 Sept 2026, 12:21 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 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 139 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.
16,883 reactions across 747 posts, in 11 distinct kinds. The most used accounts for 29.3% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 4,943 | 29.3% | |
| 👍 | 2,267 | 13.4% | |
| 🎉 | 2,260 | 13.4% | |
| 🔥 | 2,169 | 12.8% | |
| 🥰 | 1,169 | 6.92% | |
| 🤩 | 1,073 | 6.36% | |
| 😍 | 1,021 | 6.05% | |
| 💯 | 1,002 | 5.93% | |
| ❤🔥 | 914 | 5.41% | |
| 👏 | 49 | 0.29% | |
| 😁 | 16 | 0.095% |
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 747 of the 783 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 16,883 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 783 most recent posts we hold, published 9 August 2026 to 27 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.
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柬埔寨外长：柬泰冲突重创互信 重建须靠具体行动 在第81届联合国大会一般性辩论上，柬埔寨副首相兼外交大臣布拉索昆表示，近期柬泰紧张与冲突严重损害两国互信，留下深刻持久伤痕，包括文化遗产受损和未爆弹药威胁。他称，地理使两国成为永久邻居，和平稳定与繁荣息息相关，重建信任不仅是愿望，更是必要。对柬埔寨而言，恢复信任必须基于切实承诺和全面落实既有协议，包括吉隆坡联合声明、抚仙共识及2025年12月27日联合声明。柬方要求立即重启联合边界测量与划界，停止制造既成事实，并允许逾2万名流离失所柬公民返回家园。
🎉9😍6👏1
美国承诺打击跨国犯罪与非法烟草交易 柬埔寨销毁800吨假烟 美国驻柬埔寨大使馆9月27日表示，美方承诺继续防范和打击跨国犯罪网络，并打击非法烟草产品交易。美国执法人员近日与柬埔寨内政部合作，销毁了从非法工厂查获的超过800吨假冒烟草制品。美方强调，国际合作对加强边境执法、保护知识产权、阻止有害且不受监管的商品进入美国和全球市场至关重要。副首相兼内政大臣苏速卡出席销毁活动时，要求严打假烟流通，保护民众生命健康与公共安全。当局销毁约800吨假烟及相关材料，涉及31种假冒品牌，包括ESSE、JET、MEVIUS、Manchester等。行动由中柬警方共享情报合作促成。
🥰8👍3🔥3
金边手机店遭破门盗窃53部设备 警方抓获2名嫌疑人 金边消息：2026年9月17日凌晨2时30分，金边市万景岗区万景岗第一分区63号路58号“Ha Ra”手机店遭人破门盗窃，约53部手机和iPad被盗。9月25日下午2时45分，轻罪刑事警察办公室联合隆边区、万景岗区警方展开侦查，在隆边区瓦哥寺一带抓获2名嫌疑人：37岁柬籍男子潘尼·伊本尼亚和18岁柬籍男子宾威斯纳，二人均无业、住址不明。受害者为44岁男店主Saet Soun Visal。目前，警方正按法律程序整理案卷，对嫌疑人进一步处理。
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柬外长在联合国警告：柬泰冲突重创互信，重建须看具体行动 柬埔寨副首相兼外交大臣布拉索昆在联合国大会第81届一般性辩论上表示，近期柬泰紧张与冲突严重损害两国互信，留下深层次长期伤痕，包括文化遗产受损和未爆弹药威胁。他强调，作为永久邻国，柬泰必须共存，重建信任是双边关系未来的必要前提；但柬方认为重建不能只靠口头，必须以具体承诺和全面有效落实既有协议为基础，包括《吉隆坡联合声明》《抚仙共识》及2025年12月27日联合声明。柬方还要求尽快重启联合边界委员会勘界测量，停止在占领区制造既成事实，并让逾2万名无法返家的柬埔寨民众获准返回家园。
💯5🔥5😍5
柬外长：恢复柬泰互信须靠具体承诺与有效落实 柬埔寨副首相兼外交与国际合作大臣布拉索昆在联合国大会表示，柬泰近期紧张与冲突严重损害双边互信，留下深层创伤，并造成文化遗产受损和未爆弹威胁。他强调，恢复互信不能停留在口头，必须基于切实承诺，全面有效落实双方协议，包括吉隆坡联合声明、抚仙共识及2025年12月27日联合宣言，承诺不使用武力、尊重国际边界、降低紧张。他还呼吁重启边界测量与划界，并指出逾2万名柬埔寨民众因泰军持续占控和阻挠仍无法返家，应获准立即返回。
🎉7👍5🔥4
欧盟警告能源价格危机 呼吁成员国削减需求 欧盟能源专员约根森致函成员国能源部长警告，受伊朗战争及霍尔木兹海峡关闭影响，欧洲正面临“价格危机叠加供应危机”。欧盟约80%天然气依赖外部进口，目前储气率仅约70%，较去年同期低约12%。虽暂未直接断供，但气价高企，部分国家冬季前补库承压。欧委会呼吁成员国考虑限制公共建筑供暖温度、减少户外供暖、关闭非必要公共照明等措施，以压低能源需求，并提前为冬季做准备。与2021年俄气断供危机相比，欧盟当前准备更充分，但仍不可松懈。
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🎉13👍9🤩9
马德望省桑岐河洪灾致逾3000栋民房和3300公顷农田受灾 柬埔寨马德望省通报，截至9月26日晚，桑岐河洪水已影响埃克普农县5个乡。受灾民房达3070栋、约3631户家庭，另有7座寺庙、14所学校、1家卫生中心及85处道路受损，道路总长约35240米。农作物受灾3304公顷，其中水稻3238公顷、受损358公顷；混合作物66公顷、受损2公顷。目前沙拉达安水坝段水位仍持续上涨，达高警戒级别。当局已要求各级武装力量和救援部门待命，随时救助民众，并呼吁沿河居民、尤其儿童提高警惕。
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柬埔寨副首相布拉索昆在第81届联合国大会发言 纽约9月26日消息，柬埔寨副首相兼外交与国际合作大臣布拉索昆在第81届联合国大会一般性辩论上发言。本届大会主题为“重建信任、管理转型：为所有人实现成果的联合国”。他回顾说，81年前，在第二次世界大战的破坏之后，联合国创始成员国郑重承诺，必须“使后世免遭战祸”；自1945年以来，这一承诺始终至关重要。他指出，尽管世界迄今避免再次陷入世界大战，但武装冲突仍在许多地区持续，给人类带来深重苦难。面对当前复杂局势，国际社会更需重温联合国初心，推动和平与多边合作。
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Showing the 12 most recent of 783 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 25 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), 150,280 subscribers as measured 25 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.