Channel
@cctvshaoerzhuanqu
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Posts edited after publishing · Citations · Cite this entry
70,874subscribers
+173 since we began measuring on 4 September 2026
Risers and fallers across the register · movement among entries of 31,623–100,000.
| Telegram ID | -1003370935020 |
|---|---|
| Type | Channel |
| Username | @cctvshaoerzhuanqu |
| Description | 免责声明：瓜内容来源于互联网，未作真伪考究，仅供参考。本频道不站任何立场、不作任何评论，仅提供发布平台！ 投稿免费，删帖付费。谢谢合作 #缅甸 #柬埔寨 #菲律宾 #迪拜 #东南亚 #老挝 #泰国 #马来西亚 #全球热点资讯 投稿曝光悬赏商务合作 @Abbbb7880mm |
| Created | Between 1 November 2025 and 31 March 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 4 September 2026 |
| Last confirmed live | 18 September 2026 |
| Measurements held | 9 |
| Confirmed unchanged | 1 time, most recently 18 September 2026 |
| On Telegram | t.me/cctvshaoerzhuanqu |
National news — 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 18 September 2026 and assigned it the closest of 31 fixed categories, at 48% 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, 18:01 | 70,874 | -996 |
| 16 Sept 2026, 13:20 | 71,870 | -95 |
| 14 Sept 2026, 21:00 | 71,965 | +1,179 |
| 13 Sept 2026, 08:19 | 70,786 | -269 |
| 11 Sept 2026, 11:59 | 71,055 | +766 |
| 8 Sept 2026, 17:59 | 70,289 | -360 |
| 5 Sept 2026, 12:01 | 70,649 | -52 |
| 4 Sept 2026, 04:22 | 70,701 | no change |
| 4 Sept 2026, 03:47 | 70,701 | first reading |
484 posts held, back to 3 September 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 46 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 87 of 484 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 27 September 2026 |
|---|---|
| Posts held | 484 (3 September 2026 – 27 September 2026) |
| Views total | 575,887 |
| Reactions total | 87 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 27 Sept 2026, 02:09 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.
87 reactions across 87 posts, in 9 distinct kinds. The most used accounts for 19.5% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 🥰 | 17 | 19.5% | |
| 🔥 | 13 | 14.9% | |
| 😁 | 13 | 14.9% | |
| 👍 | 11 | 12.6% | |
| 👏 | 11 | 12.6% | |
| ❤ | 9 | 10.3% | |
| 🤩 | 8 | 9.20% | |
| 🎉 | 3 | 3.45% | |
| ⚡ | 2 | 2.30% |
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 87 of the 484 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 87 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 484 most recent posts we hold, published 3 September 2026 to 27 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.
#菲律宾资讯 西米沙鄢严打非法枪支 不到两月收缴3583支。 菲律宾西米沙鄢地区警方近日通报，“3389行动”开展不到两个月，已通过民众自愿上缴等方式收缴非法枪支3583支，超过原定目标。该行动以当地3389个村社为基数，目标为每个村社至少收缴1支非法枪支。警方数据显示，收缴枪支包括短枪2478支、长枪1105支。其中伊洛伊洛省最多，达1762支，安蒂克省634支，卡皮兹省550支，阿克兰省337支，伊洛伊洛市199支，吉马拉斯省101支。 行动期间，警方与地方政府及基层官员合作，结合情报收集、武器清查和入户走访，并通过宣传劝导鼓励民众主动交枪。第6警区负责人图阿尼奥表示，行动将持续，警方将核查情报、清查无证枪支并依法处理，呼吁民众主动上缴，避免非法枪支流入社会。
#新闻资讯 菲移民局“回马枪”突击 便衣暗访后进店抓人。 近日，一段菲律宾执法部门突击行动的视频在网上流传。画面显示，移民局便衣人员先前往一家店铺暗访，进行观察、拍摄和取证，随后折返展开突击行动。执法人员进入店铺后直奔楼上区域，控制相关人员，并将其带到店外接受进一步检查与现场取证。整个过程被拍摄并在网络传播。据了解，菲律宾移民局近期持续与国家调查局及警方联合行动，重点核查外国人的居留身份、签证及工作许可，并检查涉嫌违反移民规定的行为。目前，涉事店铺、人员身份及具体执法依据尚未完整公开，情况有待官方调查结果。当局提醒在菲外国人，签证、工作许可与实际工作内容应保持一致，通过中介求职务必核实合规性。
❤1
#马来西亚资讯 陆兆福尚未呈辞 安华：在等辞职信。 马来西亚首相安华26日被问及民主行动党秘书长陆兆福是否已辞去交通部长职务时，仅简短回应：“在等辞职信。”安华当天下午出席活动后受访时作出上述表态。 陆兆福此前已公开宣布将辞去交通部长职务，并表明辞意不变。他于19日在民主行动党中央执行委员会会议后宣布辞职，以表明该党对前首相纳吉获准居家服刑一事的立场。陆兆福之后强调，辞职决定不变，并将在结束中国行程、返回马国后向安华提呈辞职信。 目前，陆兆福的正式辞职信仍未呈交。安华的简短回应显示，他尚未收到相关文件。此事后续如何发展，取决于陆兆福何时正式递交辞呈，以及安华政府是否进行内阁改组。马国政坛正密切关注这一动向。
😁1
#泰国资讯 秘密房间变“毒品实验室” 芭堤雅警方逮捕42岁美籍华裔男子。 泰国警方联合移民部门9月26日在春武里府邦拉蒙县农普鲁地区展开搜查，在一名42岁美籍华裔男子住宅内发现经过改造的秘密房间，查获摇头丸、氯胺酮及多种疑似用于加工包装毒品的设备，毒品总重约60克。 警方此前接获线索，称该男子涉嫌向境内外外国人出售毒品。取得搜查令后突击检查，发现一间窗户被严密封闭的秘密房间，内有粉末、结晶状可疑物及电子秤、研磨工具、加热封口设备、量杯、烧杯、注射器等。手机备忘录中还发现疑似毒品混合配方，记录氯胺酮与咖啡因比例，并出现马来西亚吉隆坡收货人姓名及地址。 嫌疑人承认物品属己，但辩称仅供个人吸食。警方根据证据未采信其说法，以商业目的持有贩卖摇头丸、持有氯胺酮及吸食毒品等罪名对其采取法律行动，并追查毒品来源及跨境网络。
👍1
#泰国资讯 疑吃醋酿惨剧！泰男连开数枪伤妻及男子后自尽。 泰国南部春蓬府巴提县9月26日发生一起枪击事件。一名59岁男子疑因感情纠纷，持枪向60岁妻子及50岁男子开枪，造成两人重伤，随后驾车逃离现场，并在车内开枪击中自己头部身亡。警方接报后赶赴一处新建住宅附近，发现两名伤者均有枪伤，紧急送医。不久后，警方在嫌疑男子车内发现其死亡，现场留有一把左轮手枪。 据附近居民称，事发地为一处施工中的新房，当天上午有人聚众打牌，随后突然传出约3声枪响。因附近监控故障，未拍到案发过程。警方初步怀疑案件与感情纠纷及嫉妒有关，疑似嫌疑男子认为妻子与50岁男子存在不当关系。警方正收集弹头等证据，并询问相关人员，以厘清作案动机。案件依法调查中。
#新闻资讯 南京东路口自行车闯红灯遭撞飞 骑士多处擦挫伤送医。 台北市中山区南京东路与建国北路口，今（26）日中午12时22分许发生一起交通事故。一名郑姓男子骑乘自行车沿南京东路东往西行驶，至建国北路口时，与一辆从建国高架下匝道的营小客车发生碰撞。郑男当场被撞飞，身上多处擦挫伤，紧急送医后无生命危险；叶姓驾驶未受伤，但车辆前挡风玻璃及右前保险杠受损。 警方初步调查，事故疑似因自行车骑士闯红灯所致，双方酒测、毒测均正常。详细肇事责任仍待厘清。中山分局呼吁，驾驶人应专注路况并遵守号志，切勿闯红灯，以维护自身及他人行车安全。一时抢快，可能换来满身伤痛，得不偿失。
#新闻资讯 恒春红柴坑游艇搁浅 2船22人受困 海巡惊险救援。 屏东恒春红柴坑渔港26日下午发生观光游艇搁浅意外。海巡署第八巡防区指挥部发现「小海豚1号」离岸过近，又逢低潮，主动联系业者。业者自行调派「小海豚3号」拖带，却因风浪不佳，两船双双搁浅，共22人受困。海巡立即启动救援，派遣第六岸巡队等多个单位，携带遥控式动力救生圈、橡皮艇赶赴现场。因风浪过大、水深及胸，橡皮艇救援恐有翻覆风险，海巡改以人力背运方式，优先协助老弱妇孺脱困，再以绳索接驳将17名游客全数撤离。另有船员自行脱困。整起意外无人员伤亡。海巡呼吁，船只进出港应留意潮汐与风浪，避免发生搁浅。
#芭堤雅 “拖伞船被冲上岸！”芭堤雅风浪发威 6船沉没 网：海边行程先缓缓。 芭堤雅海滩25日上演“船只灾难片”——强风巨浪一夜袭来，6艘船沉没，2艘拖伞船直接被冲上沙滩，海滩躺椅业者无奈停业。网友惊呼：“拖伞船都上岸了，人还敢下水？”“这不是度假，是看老天发脾气。”当地已升红旗禁止出海，但风浪仍将持续3至4天。船东忙着避风，游客忙着改行程。警方与海事部门再三提醒：天气不稳，别跟海硬碰硬。芭堤雅的美，需要安全作前提——风浪未平，海滩行程先按暂停键吧。
#新闻资讯 “拜票拜到翻车！”田尾前乡长车辆四脚朝天 网：选举真的要注意安全。 彰化田尾乡前乡长林文华25日载着参选乡代的妻子拜票，结果半路与车擦撞，整辆车翻成四脚朝天，夫妻俩一度卡在车内。消防队出动3分队救援，两人轻伤送医，所幸没大碍。网友惊呼：“拜票拜到翻车，这行程太拼了”“选举跑摊真的要注意安全”“好险人没事”。另一车无人受伤，肇事原因待查。选举进入冲刺期，候选人行程满档、南奔北跑，疲劳驾驶、路况不熟都是风险。这一翻，提醒所有参选人：拜票可以拼，命只有一条。平安跑完行程，才是最好的政见。
#新闻资讯 “口气差就赏耳光？”霞海城隍庙男动手 网：这是参拜还是踢馆？ 台北霞海城隍庙25日上演“全武行”——39岁男子问参拜流程，嫌庙方人员口气差，直接甩人一巴掌，把祈福现场变格斗擂台。网友炸锅：“问路不成改打人？”“参拜前先拜关公练拳？”庙方人员脸部挂彩，男子被依伤害罪送办。警方提醒：不管口气好不好，动手就是不对。网友调侃：“城隍爷面前动手，小心被记上一笔”“求平安求到进警局，这签诗够凶。”一场参拜，因一巴掌变了调。下次问流程，建议先深呼吸——毕竟，神明在看，法律也在看。
#曼谷 “军火库民宅”！曼谷男开枪纵火后身亡 警方进屋傻眼：满屋炸弹。 曼谷邦普拉特区25日上演真实版“火药桶”——一名男子在住宅内开枪、纵火，警方特警包围后，火势扑灭一查，屋里全是军用武器、弹药和爆炸物，二楼还发现男子坐在椅上、手握枪械身亡。网友看傻：“这是民宅还是军械库？”“他是准备开战吗？”警方紧急调EOD排爆，现场一度如临大敌。更劲爆的是，死者据称是陆军前现役将军的外甥孙。动机不明、军火来源不明、身份敏感——这起案件水很深。一把枪、一场火、一屋子炸弹，曼谷这栋民宅的故事，恐怕才刚开始被揭开。
#新闻资讯 国道1号神冈段3车连环撞 保时捷追撞铲起前车。 国道1号北向166.6公里台中神冈路段25日上午9时21分许发生3车连环追撞事故。45岁李姓男子驾驶保时捷行驶内侧车道时，追撞前方26岁黄姓男子驾驶的白色休旅车，后方51岁李姓男子又追撞李男车辆，所幸无人受伤。警方到场处理，3名驾驶酒测值均为0，详细肇事原因由大队进一步调查厘清。事故画面曝光后引发网友热议，有人调侃“保时捷也有堆高机功能”。国道警方呼吁用路人保持安全距离，随时注意车前状态，切勿分心或疲劳驾驶。
Showing the 12 most recent of 484 posts we hold for @cctvshaoerzhuanqu. 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.
@cctvshaoerzhuanqu edited 1 post 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.
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.
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.
“东南亚—全球热点” (@cctvshaoerzhuanqu), 70,874 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/cctvshaoerzhuanqu.
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.