Telegram RegisterThe public register of Telegram
Telegram profile photo for 柬埔寨安危事件🐲

Channel

柬埔寨安危事件🐲

@dcccc888

2 usernames

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Advertising · Posts · Citations · Handles named that no longer answer · Cite this entry

93,740subscribers

+18,869 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 31,623–100,000.

Register entry

Telegram ID-1001732242789
TypeChannel
Usernames@anweidc @dcccc888
DescriptionHello @Telegram My channel has not violated the rules and policy of using Telegram. 🐲广告、投稿爆料、求助删帖 狗群主 @dogdc 频道专注柬埔寨华人最新动态资讯与海外华人求助,真假自辩理性吃瓜,讨论群 @dcccc666 🐲专注社群运营DC广告联盟 @dogdc8 👉新闻 @dcaaa888 @dcbbb888 @dcccc888 @dcddd888 @dceee888 @dcfff888 @dcggg888
CreatedBetween 1 December 2021 and 30 April 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live14 October 2026
Measurements held73
Confirmed unchanged1 time, most recently 14 October 2026
On Telegramt.me/dcccc888

Topic

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 24 August 2026 and assigned it the closest of 31 fixed categories, at 50% 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.

Growth

70,431109,27989,85593,7407 August 202614 October 2026
73 measurements spanning 68 days, net +18,869. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between — snapshots are recorded only when a count changes, so gaps mean “no change observed”, never “interpolated”. The vertical axis spans 64,604–115,106 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 73
Measured (UTC)SubscribersChange
14 Oct 2026, 08:0693,740-52
14 Oct 2026, 03:5593,792-250
12 Oct 2026, 17:5194,042-84
11 Oct 2026, 20:5794,126-287
8 Oct 2026, 04:0194,413-48
7 Oct 2026, 08:1794,461-314
3 Oct 2026, 17:3994,775-74
2 Oct 2026, 09:1794,849-396
24 Sept 2026, 23:4095,245-802
18 Sept 2026, 16:4196,047-51
18 Sept 2026, 11:5796,098-267
16 Sept 2026, 07:0196,365-27
16 Sept 2026, 02:1996,392-698
14 Sept 2026, 10:1697,090-59
14 Sept 2026, 07:1797,149-3,285
12 Sept 2026, 23:21100,434-19
12 Sept 2026, 17:39100,453-651
11 Sept 2026, 01:56101,104-40
10 Sept 2026, 14:21101,144-641
8 Sept 2026, 03:14101,785first reading

Engagement

1,574 posts held, back to 7 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 140 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
4.55%
avg views ÷ 93,740 subscribers
Avg views / post
4,260
681 posts measured
Reaction rate
1.82%
reactions ÷ views · ER floor
Posts in window
681
of 1,574 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 661 of 681 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 14 October 2026
Posts held1,574 (7 August 2026 – 14 October 2026)
Views total2,903,664
Reactions total51,571
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken14 Oct 2026, 15:20 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
≈26,400
Videos
≈7,960
Links
≈18,300

Lifetime counters from Telegram’s own channel header, read 14 October 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
6h 39m
Average length
59s

Measured directly from 406 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

73,604 reactions across 940 posts, in 11 distinct kinds. The most used accounts for 20.1% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤14,79720.1%
👍14,78220.1%
🎉14,72220.0%
🔥14,62519.9%
😁14,48919.7%
👏530.072%
🤩470.064%
🥰470.064%
⚡400.054%
💯10.001%
😱10.001%

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 941 of the 1,000 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 73,604 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 1,000 most recent posts we hold (the sample is capped at 1,000), published 30 August 2026 to 14 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.

Advertising

Ad load
2.10%
21 of 1,000 posts carry an ad marker
Regulatory tokens
0
none — marked by hashtag only
Median views · ads
4,150
over 21 measured posts
Median views · rest
4,480
over 979 measured posts

An ad marker, not a judgement about a post. A post is counted here because it carries one of two explicit markings: an erid token, which Russian law has required on paid placements since 2022 and which is issued against a specific advertising contract, or a #реклама / #ad hashtag in the body, which is the channel declaring it itself. The first is documentary; the second is a self-declaration and is weaker. No classifier reads the text and decides — nothing on this site guesses that a post is an advertisement.

This is a floor, and it can only ever be a floor. A channel that runs paid placements without marking them produces no marker for us to count, and an unmarked ad is indistinguishable from an ordinary post on the public surface. The ad load above therefore means “the share of posts that declared themselves”, never “the share of posts that were paid for”. A low figure is not evidence of a channel that runs few ads.

Both figures are medians, and no ratio between them is published. Each is a view reading that actually occurred on a post, picked by percentile_disc rather than averaged, so one viral post cannot move it and no interpolated value is invented between two readings. They are printed side by side with the count behind each rather than as a ratio: an ad and an ordinary post are not otherwise matched — for topic, for length, for hour of day — so the gap between them is a description of two groups and not the effect of one being an ad.

Measured over the 1,000 most recent posts we hold (the sample is capped at 1,000), published 30 August 2026 to 14 October 2026. Views are the latest single reading held for each post, and any reading at or above 1,000 is rounded by Telegram to three significant figures.

Recent posts

14 Oct 2026, 15:13 UTC210 views96 reactionsread 14 October 2026
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#柬埔寨新闻 波贝市统一行政指挥部继续对波贝市辖区各分区的外籍人员住宿情况进行行政检查。10月13日和14日,共查获外籍人员57人,均持有合法证件,与网络诈骗无关。 此次行动由副省长利姆·索达协调指挥,并由波贝市市长兼波贝市统一行政指挥部主席卡特·洪直接领导,相关执法部门共同参与。 10月13日:工作组在奥乔分区的2个地点检查,发现外籍人员32人(女性2人),其中孟加拉籍14人,印尼籍18人(女性2人)。所有人证件齐全,未发现涉及任何犯罪。 10月14日:工作组继续在奥乔分区的2个地点和中央市场分区的1个地点检查。在奥乔分区发现外籍人员25人(女性12人),其中泰籍21人(女性12人),印尼籍4人。中央市场分区未发现外籍人员住宿。14日发现的外籍人员同样证件齐全,与网络诈骗无关。 🔗 关注柬埔寨安危 @dcccc888 一键订阅TG圈资源 ➡️讨论 @dcccc666 📌 投稿广告 @dogdc

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14 Oct 2026, 14:42 UTC19 views66 reactionsread 14 October 2026
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#突发新闻 🇰🇭#金边 市 Kok Roka 分区刚刚发生枪击事件,造成有人受伤。目前,嫌疑人仍在逃,警方正在追捕。 🔗 关注柬埔寨安危 @dcccc888 一键订阅TG圈资源 ➡️讨论 @dcccc666 📌 投稿广告 @dogdc

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14 Oct 2026, 14:13 UTC≈2,330 views88 reactionsread 14 October 2026
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#网友吐槽:此前在安危事件内每个月都要发很多这类帖子,已经明确说明赌场就是割韭菜的地方,放眼全球这些各大赌场?有几个人能赢走赌场的钱? 码是自己拿的 注也是自己下的 赌场不杀猪靠什么赚钱?难道靠那0.5%的抽水能养活赌场上千员工? 靠的就是作假杀猪。你自己要玩能怪谁~~~愿赌服输吧!要么就别去赌场!!去赌场不如去大發~ 🔗 关注柬埔寨安危 @dcccc888 一键订阅TG圈资源 ➡️讨论 @dcccc666 📌 投稿广告 @dogdc

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14 Oct 2026, 14:00 UTC468 views98 reactionsread 14 October 2026
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14 Oct 2026, 13:41 UTC≈3,340 views75 reactionsread 14 October 2026
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#柬埔寨新闻 柬埔寨内政部:打击电诈行动中,已有77名警察被捕入狱 10月14日,柬埔寨内政部长发言人雷拉达纳(Ren Ratanak)表示,在过去一系列打击网络诈骗的行动中,已有77名国家警察被逮捕并关押入狱。 他指出,柬埔寨政府持续大力打击电诈犯罪,已有多名大型诈骗集团头目被捕,部分被关押在柬埔寨监狱,部分被移交回原籍国羁押。 同时,多个大型电诈窝点已被关闭,约40多万名涉及相关活动的外国人被遣返或自愿离境。 他强调,打击行动不仅针对诈骗集团,也涉及政府公务员及执法人员,其中已有77名国家警察被捕入狱。 发言人还提到,今年9月在金边举行的国际会议上,包括美国联邦调查局(FBI)、国际刑警组织等机构代表在内的与会人员发表了意见,并签署支持《金边宣言》。他认为,这体现了国际社会对柬埔寨打击电诈工作成果的认可。 不过,他也承认,柬埔寨境内仍存在小规模电诈活动,也有人试图重新组织大型诈骗网络。警方一旦掌握线索,将立即…

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14 Oct 2026, 13:10 UTC28 views71 reactionsread 14 October 2026
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七星海长湾项目全面关闭,邓丕兵卷入调查 #柬埔寨新闻 10月13日,柬埔寨打击电信网络诈骗委员会秘书长蔡西那烈表示,政府将持续严厉打击电诈犯罪,依法追查幕后主谋、冻结涉案资产,并追究相关人员的法律责任。 蔡西那烈指出,全国反电诈行动正持续推进。执法部门不仅对涉嫌从事电诈活动的场所展开清查,还通过司法程序追究涉案人员责任。目前,多起相关案件仍在深入调查中。 针对国公省七星海长湾(Long Bay)项目,蔡西那烈透露,今年2月,执法部门在项目范围内发现多栋建筑涉嫌涉及电诈活动。执法人员展开调查时,部分嫌疑人已逃离现场,并留下大量可疑物证。 随后,国公省执法部门拘捕部分嫌疑人,查扣相关物证,并对涉案场所实施查封和严格管控。根据官方通报,长湾项目已被全面关闭。 今年9月5日,洪玛耐首相曾亲赴国公省,视察执法部门管控的相关场所,并要求有关部门加强现场管理,妥善保管涉案物证,深入调查相关案件。 🔗 关注柬埔寨安危 @dcc…

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14 Oct 2026, 13:00 UTC193 views63 reactionsread 14 October 2026
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14 Oct 2026, 12:40 UTC≈3,820 views97 reactionsread 14 October 2026
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#柬埔寨新闻 另外,针对视频中有关于邓丕兵与柬埔寨高层领导人会面和合影的画面,杜速克表示,不应在没有证据的情况下,将过去合法的商业往来或投资项目讨论的照片,与某人后来发生的违法行为强行挂钩。 他说,“我们不能拿过去的照片来强行联系或牵扯到该人目前的错误或违法行为。” 🔗 关注柬埔寨安危 @dcccc888 一键订阅TG圈资源 ➡️讨论 @dcccc666 📌 投稿广告 @dogdc

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14 Oct 2026, 12:31 UTC13 views88 reactionsread 14 October 2026
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14 Oct 2026, 03:11 UTC79 views75 reactionsread 14 October 2026
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🎉18❤15👍15😁15🔥12

14 Oct 2026, 02:15 UTC≈2,470 views90 reactionsread 14 October 2026
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#东南亚情感 ​以前一直以为世上最苦的东西是苦瓜,直到现在我把父辈们的路完整的走了一遍,才发现,也许只有我们在父母的年龄,才能明白他们的心境和不容易吧。此生最大的遗憾是,在父母本该享福的年纪,我依旧是不成器的样子,成为他们的负担和最放不下的牵挂。真想不到当初我们也讨厌吃苦瓜,今天竟吃得出那睿智,越来越记挂……

🔥22😁20🎉18👍17❤13

13 Oct 2026, 17:11 UTC≈4,950 views93 reactionsread 14 October 2026
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#东南亚情感 ​任何人都不希望你风生水起,所以该做的事也没必要跟任何人讲,人类的悲欢并不相通,低调是为了平衡别人的心态,高调是为了赢得平等的尊重。 🔗 关注柬埔寨安危 @dcccc888 一键订阅TG圈资源 ➡️讨论 @dcccc666 📌 投稿广告 @dogdc

👍26🔥21😁19❤16🎉11

Showing the 12 most recent of 1,574 posts we hold for @dcccc888. 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

Republishes

Channels on the register whose posts this channel has forwarded.

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 22 registered channels — 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.

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 14 October 2026 — this entry's latest reading, not the date you are reading this.

“柬埔寨安危事件🐲” (@dcccc888), 93,740 subscribers as measured 14 October 2026. Telegram Register, tgregister.com/channel/dcccc888.

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.