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Channel

东南亚-日常快报 新闻

@Cai_Lian_She

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Posts edited after publishing · Citations · Cite this entry

133,015subscribers

-3,825 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 100,000–316,228.

Register entry

Telegram ID-1002408953189
TypeChannel
Username@Cai_Lian_She
Description新闻 快报 非官方 | 一手爆料联系: @niuqi778
CreatedBetween 1 September 2024 and 31 March 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live19 September 2026
Measurements held34
Confirmed unchanged1 time, most recently 19 September 2026
On Telegramt.me/Cai_Lian_She

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 9 August 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 why it has no browse page of its own yet.

Growth

133,015136,916134,965.56 August 2026 — 136,840 subscribers6 August 2026 — 136,840 subscribers7 August 2026 — 136,726 subscribers8 August 2026 — 136,570 subscribers9 August 2026 — 136,379 subscribers10 August 2026 — 136,167 subscribers11 August 2026 — 135,958 subscribers12 August 2026 — 135,767 subscribers13 August 2026 — 135,651 subscribers15 August 2026 — 135,456 subscribers16 August 2026 — 135,482 subscribers17 August 2026 — 135,291 subscribers18 August 2026 — 135,123 subscribers19 August 2026 — 134,983 subscribers20 August 2026 — 134,833 subscribers22 August 2026 — 134,686 subscribers23 August 2026 — 134,387 subscribers25 August 2026 — 134,163 subscribers26 August 2026 — 134,423 subscribers27 August 2026 — 136,916 subscribers28 August 2026 — 136,853 subscribers29 August 2026 — 136,713 subscribers30 August 2026 — 136,605 subscribers31 August 2026 — 136,472 subscribers1 September 2026 — 136,383 subscribers2 September 2026 — 136,243 subscribers3 September 2026 — 136,017 subscribers5 September 2026 — 135,634 subscribers8 September 2026 — 134,808 subscribers11 September 2026 — 133,741 subscribers13 September 2026 — 133,494 subscribers15 September 2026 — 133,354 subscribers16 September 2026 — 133,199 subscribers19 September 2026 — 133,015 subscribers6 August 202619 September 2026
34 measurements spanning 43 days, net -3,825. 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 132,430–137,501 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 34
Measured (UTC)SubscribersChange
19 Sept 2026, 04:37133,015-184
16 Sept 2026, 22:21133,199-155
15 Sept 2026, 01:38133,354-140
13 Sept 2026, 07:38133,494-247
11 Sept 2026, 12:59133,741-1,067
8 Sept 2026, 20:19134,808-826
5 Sept 2026, 13:41135,634-383
3 Sept 2026, 12:18136,017-226
2 Sept 2026, 04:24136,243-140
1 Sept 2026, 03:27136,383-89
31 Aug 2026, 05:47136,472-133
30 Aug 2026, 06:04136,605-108
29 Aug 2026, 06:57136,713-140
28 Aug 2026, 03:43136,853-63
27 Aug 2026, 06:54136,916+2,493
26 Aug 2026, 04:56134,423+260
25 Aug 2026, 03:14134,163-224
23 Aug 2026, 16:09134,387-299
22 Aug 2026, 05:47134,686-147
20 Aug 2026, 21:04134,833first reading

Engagement

1,546 posts held, back to 6 August 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 99 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
2.14%
avg views ÷ 133,015 subscribers
Avg views / post
2,850
906 posts measured
Reaction rate
0.238%
reactions ÷ views · ER floor
Posts in window
906
of 1,546 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 118 of 906 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 23 September 2026
Posts held1,546 (6 August 202623 September 2026)
Views total2,583,019
Reactions total1,407
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken23 Sept 2026, 08:50 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
15,800
Videos
82
Links
518

Lifetime counters from Telegram’s own channel header, read 23 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.

Video runtime
32m 54s
Average length
16s

Measured directly from 122 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

2,522 reactions across 177 posts, in 13 distinct kinds. The most used accounts for 11.7% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍29511.7%
💯28911.5%
🤩28711.4%
🥰28511.3%
28111.1%
🔥27510.9%
😍27210.8%
❤‍🔥26210.4%
🎉2489.83%
100.397%
😁100.397%
👏60.238%
👀20.079%

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 178 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 2,522 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 21 August 2026 to 23 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.

Recent posts

23 Sept 2026, 08:32 UTC≈2,310 viewsread 23 September 2026
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23 Sept 2026, 08:13 UTC≈2,340 viewsread 23 September 2026
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23 Sept 2026, 07:52 UTC≈2,350 viewsread 23 September 2026
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#泰国新闻 【19岁大学生陷“洗钱案”骗局 被逼取240万泰铢交给同伙】 泰国一名19岁男大学生近日遭遇冒充警察的电信诈骗。诈骗团伙声称他涉嫌参与洗钱,要求他“证明清白、配合调查”,并诱导他多次提取现金交给所谓工作人员。对方还要求他向父亲谎称获得出国留学奖学金,需要准备签证及保险费用。学生信以为真,先后取出并交出共计240万泰铢。直到他准备再次取款时,开泰银行发现账户异常,联系其父亲并通知警方,这场骗局才被识破。泰国网络诈骗中心接报后与邦纳警署协调展开救援,警方随后调查其入住酒店及离开路线,并建议他分别前往邦纳警署和巴吞旺警署报案。

23 Sept 2026, 07:17 UTC≈2,330 viewsread 23 September 2026
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23 Sept 2026, 07:02 UTC≈2,330 viewsread 23 September 2026
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23 Sept 2026, 07:02 UTC≈2,330 viewsread 23 September 2026
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23 Sept 2026, 06:14 UTC≈2,270 viewsread 23 September 2026
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#菲律宾新闻 【4名菲律宾人赴俄“高薪工作”被拦 移民局怀疑涉及人口贩运】 菲律宾移民局近日在马尼拉尼诺伊·阿基诺国际机场第一航站楼拦截4名准备出境的菲律宾人。调查发现,他们疑似受到高薪海外工作机会吸引,计划最终前往俄罗斯,其中一人甚至被招募从事军事相关工作。4人随后被认定为潜在人口贩运受害者,并移交跨机构反人口贩运委员会进一步调查及协助。移民局表示,4人分别于9月18日和19日被拦截,最初出境目的及行程引起移民官员注意,进一步询问后才发现实际目的地与申报信息并不完全一致。

23 Sept 2026, 05:54 UTC≈2,240 viewsread 23 September 2026
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23 Sept 2026, 05:35 UTC≈2,210 viewsread 23 September 2026
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#菲律宾新闻 【北甘马粦省诱捕行动告破 两名年轻嫌疑人涉167万比索冰毒被捕】 菲律宾北甘马粦省警方近日展开缉毒行动,在帕拉卡莱镇一次“诱捕行动”中抓获两名涉嫌贩毒人员,并查获245.76克疑似冰毒,警方估算其价值约167万1168比索。北甘马粦省警方9月22日公布的延迟报告显示,这起行动发生在9月19日深夜约11时30分,地点位于帕拉卡莱镇塔维格村。警方接获线索后安排人员乔装买家,与两名嫌疑人进行毒品交易。交易过程中,27岁的化名“珍娜”和21岁的化名“乔乔”涉嫌向警方安排的诱捕人员出售疑似非法毒品,随后被当场控制。行动人员随后展开搜查,并从两名嫌疑人身上查获245.76克疑似冰毒。按照警方提供的估值,这批疑似毒品价值约167万1168比索。此次行动由北甘马粦省警方与菲律宾缉毒署比科尔地区人员联合执行。警方表示,相关毒品目前已被扣押,并将按照程序进行进一步鉴定及处理。两名嫌疑人目前被拘留在帕拉卡莱镇警察局,警方正准备依据《20

23 Sept 2026, 05:01 UTC≈2,180 viewsread 23 September 2026
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#菲律宾新闻 【东米沙鄢头号毒品目标落网 莱特岛突击行动缴获约80万比索冰毒】 菲律宾东米沙鄢地区警方9月21日在莱特省托洛萨市圣罗克村展开缉毒行动,成功抓获一名被列为东米沙鄢区域重点目标名单第一位的毒品嫌疑人,另一名涉嫌同伙也一并落网。警方仅公布主要嫌疑人化名“东东”,32岁,被认定为高价值毒品目标;另一名被捕者化名“本”,31岁,两人均为托洛萨市居民。此次行动由第八警区区域缉毒单位与托洛萨市警察局联合执行,通过情报部署实施“诱捕行动”。执法人员现场缴获4小包热封塑料袋,内装约117克疑似冰毒,估值约79万5600比索。此外,警方还查获一把左轮手枪、5发实弹、诱捕交易款及其他涉案物证。第八警区警署署长卡迪尼奥准将表示,此次行动得益于区域情报单位与地方警察之间的协调配合。目前,两名嫌疑人仍被拘押,预计将面临违反《2002年综合危险毒品法》的相关指控。

23 Sept 2026, 04:48 UTC≈2,190 viewsread 23 September 2026
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23 Sept 2026, 04:33 UTC≈2,200 viewsread 23 September 2026
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#菲律宾新闻 【被遣返中国男子爆料“旧同事都回来了” 同伙疑未列黑名单仍可入境】 一名已被菲律宾遣返的中国籍男子近日联系菲律宾总统反有组织犯罪委员会前主任兼发言人温斯顿·约翰·卡西奥,发来照片并留言称:“老板,我以前的同事都回来了。”卡西奥在9月18日播出的广播节目中透露此事,并追问这些人如何重新回到菲律宾。对方称,这批人此前并没有被列入黑名单,因此之后仍能重新入境。卡西奥强调,自己目前与总统反有组织犯罪委员会已无关系,其任命已于2025年12月结束。这一说法再次引发外界关注:若被遣返人员未被列入黑名单,未来是否仍可能通过正常渠道返回菲律宾。目前相关人员是否确实重新入境、是否与此前非法博彩或诈骗活动有关,仍需菲律宾有关部门进一步核实。

Showing the 12 most recent of 1,546 posts we hold for @Cai_Lian_She. 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.

Posts edited after publishing

@Cai_Lian_She edited 2 posts after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.

An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.

First edit seen
9 August 2026
Most recent edit
9 August 2026

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 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.

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 19 September 2026 — this entry's latest reading, not the date you are reading this.

“东南亚-日常快报 新闻” (@Cai_Lian_She), 133,015 subscribers as measured 19 September 2026. Telegram Register, tgregister.com/channel/Cai_Lian_She.

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.