#菲律宾新闻 【弯道冲入对向车道 菲34岁厨师撞皮卡身亡】 9月25日凌晨,菲律宾拉乌尼翁省圣费尔南多市帕格达拉翁村国家公路发生致命车祸。34岁厨师驾摩托车向北行驶,51岁鱼贩驾皮卡向南行驶。警方初步调查显示,摩托在弯道处疑似驶过原车道,进入对向车道,与迎面皮卡相撞。皮卡司机发现后尝试避让并停车,但仍被撞上。摩托司机送医后经医生确认死亡,皮卡司机未受伤。两车均受损,损失金额未定。警方正进一步处理。
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Channel
@Cai_Lian_She
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Posts edited after publishing · Citations · Cite this entry
132,285subscribers
-4,555 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 100,000–316,228.
| Telegram ID | -1002408953189 |
|---|---|
| Type | Channel |
| Username | @Cai_Lian_She |
| Description | 新闻 快报 非官方 | 一手爆料联系: @niuqi778 |
| Created | Between 1 September 2024 and 31 March 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 25 September 2026 |
| Measurements held | 35 |
| Confirmed unchanged | 1 time, most recently 25 September 2026 |
| On Telegram | t.me/Cai_Lian_She |
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.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 25 Sept 2026, 23:59 | 132,285 | -730 |
| 19 Sept 2026, 04:37 | 133,015 | -184 |
| 16 Sept 2026, 22:21 | 133,199 | -155 |
| 15 Sept 2026, 01:38 | 133,354 | -140 |
| 13 Sept 2026, 07:38 | 133,494 | -247 |
| 11 Sept 2026, 12:59 | 133,741 | -1,067 |
| 8 Sept 2026, 20:19 | 134,808 | -826 |
| 5 Sept 2026, 13:41 | 135,634 | -383 |
| 3 Sept 2026, 12:18 | 136,017 | -226 |
| 2 Sept 2026, 04:24 | 136,243 | -140 |
| 1 Sept 2026, 03:27 | 136,383 | -89 |
| 31 Aug 2026, 05:47 | 136,472 | -133 |
| 30 Aug 2026, 06:04 | 136,605 | -108 |
| 29 Aug 2026, 06:57 | 136,713 | -140 |
| 28 Aug 2026, 03:43 | 136,853 | -63 |
| 27 Aug 2026, 06:54 | 136,916 | +2,493 |
| 26 Aug 2026, 04:56 | 134,423 | +260 |
| 25 Aug 2026, 03:14 | 134,163 | -224 |
| 23 Aug 2026, 16:09 | 134,387 | -299 |
| 22 Aug 2026, 05:47 | 134,686 | first reading |
1,653 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 106 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 93 of 890 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 | 1,653 (6 August 2026 – 26 September 2026) |
| Views total | 2,153,331 |
| Reactions total | 95 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 26 Sept 2026, 21:29 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 26 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 118 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.
1,239 reactions across 144 posts, in 13 distinct kinds. The most used accounts for 12.3% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 🤩 | 152 | 12.3% | |
| 💯 | 145 | 11.7% | |
| ❤ | 141 | 11.4% | |
| 👍 | 139 | 11.2% | |
| 😍 | 132 | 10.7% | |
| 🥰 | 132 | 10.7% | |
| 🔥 | 128 | 10.3% | |
| ❤🔥 | 119 | 9.60% | |
| 🎉 | 114 | 9.20% | |
| ⚡ | 17 | 1.37% | |
| 😁 | 11 | 0.888% | |
| 👏 | 8 | 0.646% | |
| 👀 | 1 | 0.081% |
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 145 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 1,239 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 24 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.
#菲律宾新闻 【弯道冲入对向车道 菲34岁厨师撞皮卡身亡】 9月25日凌晨,菲律宾拉乌尼翁省圣费尔南多市帕格达拉翁村国家公路发生致命车祸。34岁厨师驾摩托车向北行驶,51岁鱼贩驾皮卡向南行驶。警方初步调查显示,摩托在弯道处疑似驶过原车道,进入对向车道,与迎面皮卡相撞。皮卡司机发现后尝试避让并停车,但仍被撞上。摩托司机送医后经医生确认死亡,皮卡司机未受伤。两车均受损,损失金额未定。警方正进一步处理。
🤩1
#菲律宾新闻 【帕奎奥赴希望岛送援助 飞行途中称遭中国无线电挑战】 菲律宾多名官员9月25日前往西巴拉望的希望岛,参加海洋及群岛国家意识月活动。代表团包括反贫困委员会首席召集人帕奎奥、总统海事事务顾问森蒂诺及众议员弗洛雷斯、马尔克斯。帕奎奥带来价值50万比索援助。希望岛约有450名居民、100多名学生和30多名渔民。当地提出建设市政大楼、改善排水、抗台风住房、水过滤设施及储备三个月稻米等需求。弗洛雷斯称,飞行途中遭中国无线电挑战,但飞行员坚持完成任务并安全降落。相关通信内容及中方回应未公布。
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#菲律宾新闻 锡布延岛12人反采矿遭传唤 罗姆布隆省锡布延岛12名社区人士收到省检察官传唤。阿尔泰菲律宾矿业公司员工投诉称,他们7月6日反对采矿项目抗议中涉嫌严重威胁、滋扰及轻度胁迫。案件仍处初步调查,12人需提交答辩宣誓书及证据。组织强调,传唤不代表有罪,预计还有更多人被传唤。检方将根据证据和法律评估指控。目前案件仍在初步调查阶段,检方尚未认定任何人犯罪。事件引发对社区和平表达环境诉求是否遭法律施压的关注。
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#泰国新闻 【泰国9个月738起性侵求助】 泰国帕维娜儿童与妇女基金会9月25日称,今年截至9月21日接获4023起求助,其中性侵738起,接近2025年全年766起。基金会主席帕维娜表示,部分案件涉及家庭成员及亲近人员,毒品问题也与部分案件有关。仅9月就接获57起性侵投诉,部分施害者为亲生父亲或继父。她呼吁政府严肃处理毒品问题,加强儿童及家庭保护。案件目前由警方、社会发展与人类安全部门及公益机构处理,基金会将继续协助受害者。
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#泰国新闻 【普吉酒吧被指遭收保护费 泰官方:有证据就查】 泰国普吉府娱乐场所被指遭索取“保护费”引发关注。9月25日,泰国地方行政部门公开回应,否认参与任何形式索贿或收取回扣,称娱乐场所检查属于依法履职,从未授权工作人员向经营者索取利益。官方要求提出具体证据,如有确凿证据证明官员涉嫌腐败,将依法移交反腐机构处理。官方强调,检查旨在维护社会秩序、防范犯罪及查处违法行为,不代表可借执法索取利益。目前相关说法仍属指控与回应,是否存在官员违法或腐败,仍需调查及司法程序确认。
#泰国新闻 【曼谷退役少将之子纵火开枪后身亡 屋内惊现枪械库】 9月25日,曼谷邦普拉区查拉叻巷发生枪击纵火事件。46岁男子沙拉育涉嫌在住宅内开枪并纵火,警方派特警控制现场。进入后发现他坐在椅子上身亡,右手握一把9毫米手枪,头部有两处枪伤。警方搜查时查获50余支枪械、弹药及疑似爆炸物,其中5支真手枪、2支真步枪,其余为BB枪和空包弹枪,爆炸物为仿制品。住宅内还有16公斤煤气罐、油桶,附近多辆汽车遭枪击损坏。案件正调查。
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Showing the 12 most recent of 1,653 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.
@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.
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.
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.
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-日常快报 新闻” (@Cai_Lian_She), 132,285 subscribers as measured 25 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.