#频道互推 #相似推荐 ------------------------------ 📢 Ⓜ麻豆国产剧情看片 📢 东南亚吃瓜悬赏令 📢 东南亚华人曝光 📢 东南亚悬赏曝光 📢 AI短剧动漫&真人 📢 缅北老街吃瓜中心 📢 东南亚时报|柬埔寨大事件|爆料|吃瓜 📢 东南亚DJ俱乐部 📢 厦门千禧 📢 马来西亚泰国柬埔寨曝光吃瓜 ------------------------------ 🤝 加入互推 · 获得曝光,赚邀请奖励
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Channel
@d3rrr
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Handles named that no longer answer · Cite this entry
214,545subscribers
+7,794 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 100,000–316,228.
| Telegram ID | -1001553115595 |
|---|---|
| Type | Channel |
| Usernames | @d3rrr @xshang8 |
| Description | 【柬埔寨】新闻吃瓜 柬埔寨传播正能量的一股清流,此频道新闻/吃瓜。不造谣不传谣,柬埔寨实时资讯。认准此频道永久ID: @d3rrr 其余均为模仿 投稿传话机器人 @yiyizhushoubot 投稿/广告联系 @peiyiyi #东南亚 #柬埔寨 #西港 #金边 #木牌 #吃瓜 #东南亚 #曝光 #新闻 #通缉 #寻人 #家属寻人 #大事件 #头条 |
| Created | Between 1 August 2021 and 28 February 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 18 September 2026 |
| Measurements held | 53 |
| Confirmed unchanged | 1 time, most recently 18 September 2026 |
| On Telegram | t.me/d3rrr |
National news — 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 8 August 2026 and assigned it the closest of 31 fixed categories, at 43% 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 |
|---|---|---|
| 18 Sept 2026, 01:58 | 214,545 | -189 |
| 17 Sept 2026, 18:38 | 214,734 | -1,242 |
| 15 Sept 2026, 19:16 | 215,976 | -212 |
| 15 Sept 2026, 17:22 | 216,188 | +2,075 |
| 14 Sept 2026, 04:41 | 214,113 | no change |
| 14 Sept 2026, 03:17 | 214,113 | -2,145 |
| 12 Sept 2026, 12:59 | 216,258 | -400 |
| 12 Sept 2026, 10:18 | 216,658 | -3,782 |
| 10 Sept 2026, 12:20 | 220,440 | -89 |
| 10 Sept 2026, 09:59 | 220,529 | +20,373 |
| 7 Sept 2026, 09:19 | 200,156 | -442 |
| 7 Sept 2026, 01:41 | 200,598 | -2,943 |
| 4 Sept 2026, 12:01 | 203,541 | -32 |
| 4 Sept 2026, 10:57 | 203,573 | -1,186 |
| 3 Sept 2026, 00:38 | 204,759 | -86 |
| 2 Sept 2026, 20:36 | 204,845 | -1,387 |
| 2 Sept 2026, 00:06 | 206,232 | -198 |
| 1 Sept 2026, 17:35 | 206,430 | -1,294 |
| 31 Aug 2026, 21:34 | 207,724 | -141 |
| 31 Aug 2026, 16:26 | 207,865 | first reading |
838 posts held, back to 6 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 112 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 185 of 515 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 26 September 2026 |
|---|---|
| Posts held | 838 (6 August 2026 – 26 September 2026) |
| Views total | 2,962,659 |
| Reactions total | 2,091 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 27 Sept 2026, 00:47 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 170 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.
15,107 reactions across 486 posts, in 11 distinct kinds. The most used accounts for 14.8% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 2,233 | 14.8% | |
| 🥰 | 2,180 | 14.4% | |
| 🔥 | 2,145 | 14.2% | |
| ❤ | 2,135 | 14.1% | |
| 👏 | 2,131 | 14.1% | |
| 🎉 | 2,110 | 14.0% | |
| 😁 | 2,109 | 14.0% | |
| ⚡ | 34 | 0.225% | |
| 🤩 | 28 | 0.185% | |
| 👌 | 1 | 0.007% | |
| 👎 | 1 | 0.007% |
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 489 of the 838 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 15,107 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 838 most recent posts we hold, published 6 August 2026 to 26 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.
#频道互推 #相似推荐 ------------------------------ 📢 Ⓜ麻豆国产剧情看片 📢 东南亚吃瓜悬赏令 📢 东南亚华人曝光 📢 东南亚悬赏曝光 📢 AI短剧动漫&真人 📢 缅北老街吃瓜中心 📢 东南亚时报|柬埔寨大事件|爆料|吃瓜 📢 东南亚DJ俱乐部 📢 厦门千禧 📢 马来西亚泰国柬埔寨曝光吃瓜 ------------------------------ 🤝 加入互推 · 获得曝光,赚邀请奖励
🤩1
频道适合看内容,群组更适合继续交流。 SOSO 可以直接找热门群组,也能按关键词搜同类圈子。 先打开看看当前推荐。 🔗 本频道专属邀请链接 https://t.me/sososo?start=autopromo_-1001553115595_8471559075_groups_287ee29a
#网友求助:8号园区做过国内业务的有没有事?监控会不会曝光?现在很担心,一直不敢回去。 我是26年2月份走的,前几天看到有报道说监控被曝光,所以现在一直不敢回去,在金三角苟且偷生。想知道个答案,之前一起做事的现在一个都联系不上了。 🔔 订阅柬埔寨新闻 👉 https://t.me/xshang8 ☎️ 柬埔寨新闻小编: @peiyiyi
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#网友投稿:巴西的今天,会不会成为墨西哥的明天? 拉美市场的政策不确定性,正在成为海外投资者无法忽视的风险。 出海多年,越来越深刻地感受到:最可怕的投资风险,不一定来自市场竞争,而可能来自规则的突然改变。 巴西正在发生的事情,给所有投资拉美市场的企业敲响了警钟。 巴西公布第1,394号临时措施,全面禁止固定赔率博彩,并规定现有相关牌照在30天后终止,已缴纳的牌照授权费用不予退还。 企业依据政府制定的法律申请牌照、支付费用、建设系统、招聘员工、投入市场。如今,一项重大政策调整,就可能使长期商业计划被迫中断,让前期投资面临难以挽回的损失。 更令人担忧的是,墨西哥也正在酝酿重大博彩监管改革。 墨西哥政府已经宣布推进博彩法全面改革,国会同时出现了全面禁止博彩广告的新提案。虽然尚不能断言墨西哥会取消现有博彩牌照,但这些变化已经足以让投资者重新审视整个市场的长期风险。 对于已经投入巨额资金的企业而言,监管变化不是简单地调整几条…
西港宁波酒店一名受害女子已被警方成功救出。 据悉,案件主谋在警方行动前逃离现场,仅留下一名柬埔寨男子负责看管受害女子。目前,该名负责看管的柬埔寨男子已被警方逮捕。 案件后续情况仍在进一步调查中。 🔔 订阅柬埔寨新闻 👉 https://t.me/xshang8 ☎️ 柬埔寨新闻小编: @peiyiyi
柬埔寨劳工证办理出新规 据可靠消息源反馈:自明天起,所有办劳工证者必须要去自己居住地的警察局,开一份居住证明,然后拿原件才可以安排办理劳工证。如若没有,需多加110$作为处理费用。 🔔 订阅柬埔寨新闻 👉 https://t.me/xshang8 ☎️ 柬埔寨新闻小编: @peiyiyi
🇺🇸 两名中国男子因诈骗苹果公司在美国获刑 近日,美国加州法院判处两名领导诈骗苹果公司案件的中国男子有期徒刑。 据悉,二人通过使用数千部假冒iPhone、iPad等设备实施欺诈性退换,累计骗取苹果公司至少1,620万美元。 在此次由美国国土安全调查局(HSI)联合多部门破解的案件中,主犯兼非法移民黄文辉被判处78个月监禁,并被勒令退赔1,623.9万美元;团伙二号人物、39岁的宋杨被判处57个月监禁,并被勒令退赔1,699.7万美元。 🔔 订阅柬埔寨新闻 👉 https://t.me/xshang8 ☎️ 柬埔寨新闻小编: @peiyiyi
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#国内新闻:10月1日起,举报资金盘、传销、违规直销有奖,最高奖励100万。 自10月1日起,群众举报资金盘、传销、违规直销相关违法线索可申领奖励。线索经查证属实,最高奖励可达100万元,鼓励广大群众积极揭发各类金融骗局与违法营销活动。 什么是资金盘、传销、违规直销? 资金盘:没有真实实体生意,靠不断拉新人交钱,用后进场人的钱给前面的人分红返利。一旦拉不到新人,资金链断裂,平台直接跑路。民族资产解冻、虚拟币理财、高息项目大多属于资金盘。 传销:以发展人头为核心,靠拉人入伙、交入门费,按发展下线层级拿提成,不是靠卖产品赚钱,属于违法犯罪。 违规直销:正规直销有国家颁发牌照,超出许可范围、拉人头计酬、夸大收益、变相传销的,都属于违规直销。 举报奖励相关条件 实行实名举报,提供完整详实证据,线索为执法机关尚未掌握,核查属实立案后,方可申领奖励。 奖励分阶段核发:线索初步核实有效发放基础奖励;案件成功立案侦查追加奖励;案件最终…
🇵🇬 巴新警方破获首例跨国电诈人贩案 救出39名印尼人并逮捕4名中国籍人员 近日,巴布亚新几内亚警方在首都莫尔兹比港的一处民宅展开突袭,成功救出39名被拐卖从事网络诈骗的印尼公民(34男5女),并逮捕4名涉案中国籍人员。 巴新警察总监大卫·曼宁表示,这是该国破获的首例将外籍人员拐卖至境内从事网络诈骗的案件,并缴获大量文件及电子设备。 有专家警告称,网络犯罪集团正向治理能力较弱的小型发展中国家渗透,巴新等太平洋岛国正面临日益严峻的安全威胁。 🔔 订阅柬埔寨新闻 👉 https://t.me/xshang8 ☎️ 柬埔寨新闻小编: @peiyiyi
Showing the 12 most recent of 838 posts we hold for @d3rrr. 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.
@d3rrr named 1 handle that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all. A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
We ourselves saw each of these resolve to a real page at some point before it went vacant — a genuine, evidenced change, not an inference from absence.
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 18 September 2026 — this entry's latest reading, not the date you are reading this.
“【柬埔寨】新闻吃瓜” (@d3rrr), 214,545 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/d3rrr.
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.