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Channel
东南亚华人圈/亚太/水沟谷/爆料一手资讯
@CCTV_XW
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
27,902subscribers
+385 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
Register entry
| Telegram ID | -1002095530919 |
|---|---|
| Type | Channel |
| Username | @CCTV_XW |
| Description | 接招聘|平台|招商|实体店广告 商务合作 @shangwu6888 随时了解 水沟谷/苗瓦迪/曼谷资金新闻 中国管理,缅华,泰华,大马华人必备频道,给您分享 亚太城到曼谷的资金新闻 🇹🇭 亚太城官网 :www.yatai.vip 本平台已同步20+ 抖音反诈_记者 中缅泰大使馆 投诉服务 🇹🇭🇨🇳🇲🇲 #亚太城 #妙瓦低 #交克村 #三佛塔 #大其力 #波贝 #西港 #缅甸新闻 #柬埔寨新闻 #爆料 |
| Created | Between 1 November 2023 and 31 May 2024 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 5 November 2026 |
| Measurements held | 60 |
| Confirmed unchanged | 1 time, most recently 5 November 2026 |
| On Telegram | t.me/CCTV_XW |
Topic
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 10 September 2026 and assigned it the closest of 31 fixed categories, at 82% 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 the other topics.
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 5 Nov 2026, 18:17 | 27,902 | -99 |
| 4 Nov 2026, 16:15 | 28,001 | -189 |
| 3 Nov 2026, 16:56 | 28,190 | -510 |
| 2 Nov 2026, 14:58 | 28,700 | -18 |
| 1 Nov 2026, 15:20 | 28,718 | -52 |
| 31 Oct 2026, 16:36 | 28,770 | -40 |
| 30 Oct 2026, 19:59 | 28,810 | -450 |
| 29 Oct 2026, 16:56 | 29,260 | -30 |
| 28 Oct 2026, 16:39 | 29,290 | -15 |
| 27 Oct 2026, 19:50 | 29,305 | -21 |
| 26 Oct 2026, 19:41 | 29,326 | -21 |
| 25 Oct 2026, 19:27 | 29,347 | -29 |
| 24 Oct 2026, 17:17 | 29,376 | -29 |
| 23 Oct 2026, 20:48 | 29,405 | -32 |
| 22 Oct 2026, 23:51 | 29,437 | -19 |
| 21 Oct 2026, 21:45 | 29,456 | -34 |
| 20 Oct 2026, 14:21 | 29,490 | -28 |
| 19 Oct 2026, 13:01 | 29,518 | -14 |
| 18 Oct 2026, 10:19 | 29,532 | -20 |
| 17 Oct 2026, 08:16 | 29,552 | first reading |
Engagement
327 posts held, back to 30 July 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 135 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 4.72%
- avg views ÷ 27,902 subscribers
- Avg views / post
- 1,320
- 176 posts measured
- Reaction rate
- 0.064%
- reactions ÷ views · ER floor
- Posts in window
- 176
- of 327 held
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 2 of 176 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 24 October 2026 |
|---|---|
| Posts held | 327 (30 July 2026 – 24 October 2026) |
| Views total | 231,802 |
| Reactions total | 2 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 6 Nov 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.
What this channel posts
- Photos
- ≈21,400
- Videos
- ≈3,490
- Links
- ≈2,030
Lifetime counters from Telegram’s own channel header, read 6 November 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.
- Video runtime
- 36m 03s
- Average length
- 47s
Measured directly from 46 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.
Reaction mix
9 reactions across 9 posts, in 1 kind.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 9 | 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 10 of the 327 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 9 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 327 most recent posts we hold, published 30 July 2026 to 24 October 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.
Recent posts
Telegram’s own ‘edited’ marker: 1 of 176 posts held from the last 30 days (0.568%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).
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❤1
#网友爆料 亚太B5-3公司对待模特如同对待清洁工 B5-3是一家来自柬埔寨的新成立公司,在亚太地区没有任何经验。根据我的亲身经历,这家公司在管理、对待员工和模特的方式 以及基本工作规则方面都存在诸多缺陷。 我以模特的身份加入了这家公司。入职时,他们承诺3-4天内给我安排一间单人房,并表示如果我表现出色,会给我佣金。我的起薪是10万泰铢。 工作环境和生活条件 我刚入职时,公司里只有两名缅甸籍清洁工和一名翻译,其余员工都是100多名中国人。公司采用的是集体管理结构,甚至连谁是真正的领导都不清楚。公司里有很多领导、老板和主管之类的角色。 工作室也非常狭小。工作室和宿舍还在施工,他们说三四天应该没问题,但我却在一个隔音效果差、门还坏了的小房间里工作了一个半月。 楼完工后,工作室和宿舍被合并成一个房间。我不得不睡在工作室里,所以每天都睡不好,因为外面施工人员放的DJ音乐吵得我睡不好。加班 工作时间只写着晚上10点到早上10点,…
❤1
柬埔寨再驱逐36名涉网络诈骗的越南籍人员 昨天,柬埔寨移民总局通过特邦克蒙省特庞普隆国际口岸,将36名(含12名女性)涉嫌非法滞留、非法务工及从事网络诈骗的越南籍人员驱逐出境。 当局强调,绝不允许违法犯罪分子利用柬埔寨领土从事网络诈骗或危害区域与全球安全的犯罪活动,当局将持续清理、打击并无例外地驱逐违法人员,以维护国家声誉与安全。 😎😎😎😎😎😎😎😎😎😎😎 🪱订阅东南亚华人圈/爆料/吃瓜 😃 频道 链接 ➡️ @CCTV_XW 📱 商务/投稿 ➡️ @shangwu6888
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6名柬埔寨人骗了7万美元! 10月23日,柬埔寨警方在金边棉芷区和万景岗区突查两个网络诈骗窝点,逮捕6名柬埔寨籍嫌疑人,其中4人为女性。 据警方通报,该团伙冒充柬埔寨童军组织,以帮助洪灾灾民为名募捐,同时利用网络赌博平台实施诈骗,涉案金额超过3亿瑞尔(约7.5万美元)。 警方经过数周调查后展开行动,现场查获多台电脑、13部手机、69张SIM卡及其他物品。 😎😎😎😎😎😎😎😎😎😎😎 🪱订阅东南亚华人圈/爆料/吃瓜 😃 频道 链接 ➡️ @CCTV_XW 📱 商务/投稿 ➡️ @shangwu6888
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#马来西亚新闻 马六甲移民局突袭诈骗呼叫中心 34人被捕 10月22日,马来西亚移民局联合通讯及多媒体委员会,在马六甲吉里望突袭一处伪装成民宿的诈骗呼叫中心,共逮捕34人,包括31名中国籍人员(29男2女)、1名中国台湾籍人员及2名马来西亚男子。 调查发现,该团伙已经运作约3个月,由中国籍人员操控,主要通过社交平台,以高额投资回报为诱饵,专门诈骗韩国民众。 执法人员在现场查获309部手机、45台电脑及21本诈骗话术手册等工具,总价值约31.86万令吉。 目前,所有涉案人员已被移交至布城移民局,接受进一步调查。 😎😎😎😎😎😎😎😎😎😎😎 🪱订阅东南亚华人圈/爆料/吃瓜 😃 频道 链接 ➡️ @CCTV_XW 📱 商务/投稿 ➡️ @shangwu6888
📣 全网最靠谱的典藏用户名 😀频道 😀 https://t.me/iqs888 🎟 特价典藏😀 https://fragmeent.com 🥺😇😁 😼😼😼😼😼😼
Showing the 12 most recent of 327 posts we hold for @CCTV_XW. 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.
Forward network
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
Built only from forwarded posts we have actually read, on both sides. Coverage is early and deliberately incomplete: a missing link means we have not read the post that would prove it, never that the relationship does not exist. Counts are distinct forwarded posts observed, so they only ever go up as we read more.
Mentions
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.
Cite this entry
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 November 2026 — this entry's latest reading, not the date you are reading this.
“东南亚华人圈/亚太/水沟谷/爆料一手资讯” (@CCTV_XW), 27,902 subscribers as measured 5 November 2026. Telegram Register, tgregister.com/channel/CCTV_XW.
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.