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 |
503 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 48 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 98 of 503 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 28 September 2026 |
|---|---|
| Posts held | 503 (3 September 2026 – 28 September 2026) |
| Views total | 608,248 |
| Reactions total | 98 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 28 Sept 2026, 02:17 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 28 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.
98 reactions across 98 posts, in 9 distinct kinds. The most used accounts for 18.4% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 🥰 | 18 | 18.4% | |
| 😁 | 16 | 16.3% | |
| 🔥 | 14 | 14.3% | |
| 👍 | 12 | 12.2% | |
| 👏 | 11 | 11.2% | |
| ❤ | 9 | 9.18% | |
| 🤩 | 9 | 9.18% | |
| 🎉 | 5 | 5.10% | |
| ⚡ | 4 | 4.08% |
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 98 of the 503 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 98 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 503 most recent posts we hold, published 3 September 2026 to 28 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.
#体育资讯 #亚运男足 亚运男足：中国3-0胜泰国晋级四强 泰主帅肯定差距。 2026年亚运会男足四分之一决赛，中国队3比0击败泰国队，强势晋级四强，泰国止步八强。泰国队主教练塔瓦猜赛后表示，球队原计划开局主动进攻，但战术未能按预想展开，上半场结束前丢球更打乱部署。他指出，泰国队近年人员变动较大，部分球员已进入成年国家队，而中国队阵容相对稳定，加之本届允许超龄球员参赛，中国队在经验与场面控制上更具优势。塔瓦猜坦言，此次交手比过去更困难，但与日本、中国等强队连续过招，对年轻球员是宝贵经历，也让球队看清与亚洲高水平的差距。泰国队预计27日晚返抵曼谷。
🥰1
#菲律宾资讯 菲民调：过半民众认为个人反腐“无能为力”。 菲律宾社会气象站最新民调显示，52%的受访成年人认同“像我这样的人，对减少政府腐败无能为力”，个人反腐效能被评为“中度偏弱”，处于该系列调查近年较低水平。调查于2026年6月进行，访问1200名成年人。从地区看，大马尼拉指数最低为负37，吕宋负23，棉兰老负21，米沙鄢负10。教育程度较低者更倾向认为自己难以影响反腐。调查指出，民众对腐败问题的关注，并不等同于相信自己能参与解决，“个人无力感”成为值得关注的指标。不过，民调反映的是受访者主观感受，不能单凭一项指标判断整体反腐环境变化。
🎉1
#国际资讯 又出问题？波音737 MAX软件缺陷曝光，降落导航或受影响。 波音737 MAX再陷软件风波。据内部文件披露，该机型驾驶舱软件更新存在缺陷，可能在机组复飞后更改预定飞行路线时影响自动飞行指引功能，进而波及降落导航。波音称，已于上个月通知所有运营商，并强化飞行员操作程序，工程师正开发软件更新彻底修复。美国联邦航空管理局表示已获悉情况，正与波音及航空公司密切合作，并将召集纠正措施审查委员会评估，若发现安全隐患将立即行动。737 MAX曾因两起致命空难全球停飞，如今再现软件问题，虽目前指向特定降落情境，但对波音而言，任何技术瑕疵都可能再次动摇公众与监管信任。后续评估与修复进展，值得持续关注。
😁1
#娱乐资讯 “我要热死了！”伯贤台北开唱热到瘫坐 元弼中文翻车笑翻全场。 韩国男团EXO伯贤相隔一年再度来台，27日在大佳河滨公园开唱，红色外套帅气登场，却敌不过台北高温，唱到第三首就换外套、卷袖子，不断喊“真的好热”。他热到坐舞台休息，请粉丝“先看一下手机”喘口气，自嘲“歌单排得太吃力，下次先公开，你们记得阻止我”。面对粉丝喊热要他脱衣，他作势要脱，却反手把外套扣子一颗颗扣上，台下瞬间傻眼。DAY6元弼首次个人来台，把歌词改成“台北”，还学中文想表达“高兴”，却误说成“今天我的心很累”，急喊“差点出大事”，全场爆笑。
🔥1
#台中 #无人机掉落 台中丰原站无人机闯轨 撞电车线杆坠落 警追查行为人。 正值中秋、教师节4天连假，台中市丰原火车站26日傍晚发生惊险一幕。有民众拍摄列车时，意外记录到一架无人机闯入车站内，在轨道区撞击电车线杆后直接坠落至进站外轨道区。铁路警察局27日表示，未接获民众或台铁报案，将调阅监视器查明行为人到案说明，并依违反《民航法》相关条文函请台中市交通局裁处。台中市交通局指出，台中市禁限飞区域共419处，新增13处，违规者可处3万至30万元罚锾，呼吁无人机玩家切勿误闯禁区。
🎉1
#新闻资讯 解放军南部战区位黄岩岛周边组织海空联合演训。 9月27日，中国人民解放军南部战区位黄岩岛周边海空域组织海空联合演训，重点演练侦察预警、快速机动、联合搜救等实战化科目，有效检验部队海空协同、快速支援和体系制胜能力。战区部队时刻保持高度戒备，坚决捍卫国家领土主权和海洋权益。此次演训旨在提升部队在复杂海空环境下的实战能力，展现维护地区和平稳定的决心与能力。南部战区表示，将持续加强练兵备战，坚决履行使命任务，维护国家主权安全和海洋权益。
👍1
#菲律宾资讯 马科斯视察华商钢铁企业 点赞机器人焊接生产线。 菲律宾总统马科斯9月26日前往内湖省科技园，视察华商经营的努瓦利钢铁加工公司，了解企业在政府技术升级计划支持下的自动化生产情况。该公司获菲科技部支持后引入电弧焊接机器人，用于汽车零部件及金属产品生产，在效率、精度及作业安全方面均有提升，逐步迈向智能制造与“工业4.0”。马科斯对企业采用先进技术印象深刻，称其产品已达国际标准，展现本土制造业通过技术升级提升竞争力的潜力。他强调政府与企业合作对推动制造业现代化意义重大，可减少对进口零部件依赖，并带动更多就业。科技部长苏利顿及公司总裁吉米·陈陪同参观。
🤩1
#新闻资讯 国3北上土城段凌晨惊传车祸 车辆翻覆2人一度受困。 中秋连假第3天凌晨发生交通事故。国道3号北上40.8公里、土城交流道路段，27日凌晨0时许惊传两车碰撞事故，撞击力道猛烈，其中一辆轿车当场翻覆，车内2人一度受困。所幸消防人员获报后迅速赶抵现场，立即展开救援，将受困人员救出。 据了解，事故发生于国3北上土城交流道附近，两车碰撞后，一辆车翻覆在路面，车内2人无法自行脱困；另一辆车则滑行至路肩。消防人员到场后将受困人员救出。目前确切受伤人数及伤势情况仍待进一步确认。至于两车为何碰撞，详细肇事原因及相关责任，仍待国道警方调查厘清。 由于正值中秋连假，国道车流量较大，警方提醒用路人行经事故路段时务必减速慢行，注意前方路况，保持安全距离，避免类似事故再发生。
#特朗普 特朗普：我为啥要选他？否认贝森特任AI事务主管。 美国总统特朗普周五表示，不会选择财政部长斯科特·贝森特担任新的人工智能事务主管，给此前相关传言泼了冷水。他在Truth Social发文称：“斯科特·贝森特不会出任‘超级智能’事务主管。第一，他自己不想干。第二，他在财政部干得非常出色，我希望他继续留在那里！我为什么要作出这样的变动？” 特朗普上周末宣布计划组建“人工智能力量”，并将任命新的人工智能事务主管，但未透露具体细节，令科技行业和国会议员一头雾水。四名科技行业代表本周透露，贝森特被视为该职位有力竞争者，促使特朗普周五将传言斥为“又一则假新闻”。白宫和财政部未立即回应置评请求。 不过，贝森特仍可能在AI政策制定中扮演重要角色。今年夏天，他参与白宫与Anthropic、OpenAI关于AI模型网络安全风险的谈判，还提出建立AI安全“通报机制”，负责就新威胁与中方沟通。一名政府官员称，贝森特是少数对AI技术有较深入理解…
#俄罗斯资讯 普京最新涉华表态：俄中贸易额达2400亿美元且持续增长。 俄罗斯总统普京表示，俄中贸易额已达2400亿美元，且仍在持续增长。普京对记者说：“我们与中华人民共和国的贸易额为2400亿美元。这是一个可观的数字。而且贸易规模还在扩大。”他补充说，俄中两国都看到对双方而言进一步发展关系的重要方向。 普京是在圣彼得堡国际“联合文化”论坛期间与记者交流时作出上述表态的。据中国官方统计，2025年中俄双边贸易额为2281.05亿美元。普京此次表态再次凸显俄方对中俄经贸合作的高度重视。分析人士指出，中俄贸易规模持续扩大，反映两国在能源、农业、制造业等领域的互补性不断增强。双方均表示将继续拓展合作领域，推动双边关系稳步发展。
#新闻资讯 北市暗夜恶火！乐业街建筑工地窜火 警消急灌救。 台北市大安区乐业街26日晚间惊传工地火警。晚间9时9分许，乐业街87号对面一处兴建中的集合住宅工地，地下室突然起火燃烧，现场窜出浓烟。消防局获报后立即派遣人车赶抵现场灌救。 初步了解，现场无人员受困，火势由警消处理中。据悉，该工地为全坤建设所属。起火点位于工地地下室，确切起火原因及燃烧面积，仍待火势扑灭后由火调人员进一步厘清。警消呼吁，工地施工期间应加强防火管理，尤其地下室等密闭空间，须注意电器、焊接及易燃物存放安全，避免暗夜恶火酿成更大损失。附近居民也应注意空气品质，关窗避免吸入浓烟。
⚡1
#新闻资讯 “越南老停电，还怎么跟中国争？”风电项目闲置成掣肘。 全球试图降低对中国制造业依赖，越南被视为关键替代，但其能否胜任，可能取决于几座长期闲置风电场的命运。越南电网需求年增约10%，但可再生能源热潮后供电增长停滞，政府警告最早明年可能停电。伊朗战争推高LNG成本，煤电或被迫回归。 症结在于越南电力集团（EVN）与开发商的电价争议。85个风电和太阳能项目总装机4.7吉瓦陷入纠纷，仅1.6吉瓦在供电，其余足以满足数百万家庭用电。2023年停电曾致GDP损失0.3%。政府希望五年内电网规模扩大约三倍，需1360亿美元，远超自身财力。JETP框架下50个项目仅3个获投资，到位资金仅约7%。 评论称，EVN已消除累计亏损，有余力让步。为1吉瓦遗留项目多付10%费用，换取投资者信心、降低融资成本，是划算交易。越南若无法供电，跨国企业或转向他国甚至中国。
Showing the 12 most recent of 503 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.