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Channel
新闻头条曝光
@xinwenbaoguang00
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
93,127subscribers
+46,183 since we began measuring on 26 August 2026
Risers and fallers across the register · movement among entries of 31,623–100,000.
Register entry
| Telegram ID | -1001930636582 |
|---|---|
| Type | Channel |
| Username | @xinwenbaoguang00 |
| Created | Between 1 April 2023 and 31 October 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 26 August 2026 |
| Last confirmed live | 26 September 2026 |
| Measurements held | 18 |
| Confirmed unchanged | 1 time, most recently 26 September 2026 |
| On Telegram | t.me/xinwenbaoguang00 |
Topic
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 11 September 2026 and assigned it the closest of 31 fixed categories, at 94% 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
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 26 Sept 2026, 09:41 | 93,127 | +25,405 |
| 19 Sept 2026, 09:38 | 67,722 | +6,859 |
| 17 Sept 2026, 01:18 | 60,863 | +5,573 |
| 15 Sept 2026, 00:21 | 55,290 | +6,217 |
| 13 Sept 2026, 07:37 | 49,073 | +1,935 |
| 11 Sept 2026, 12:18 | 47,138 | +6,359 |
| 8 Sept 2026, 19:15 | 40,779 | -1,241 |
| 5 Sept 2026, 15:15 | 42,020 | -1,014 |
| 3 Sept 2026, 17:14 | 43,034 | -609 |
| 2 Sept 2026, 09:02 | 43,643 | -516 |
| 1 Sept 2026, 10:33 | 44,159 | -264 |
| 31 Aug 2026, 13:43 | 44,423 | -337 |
| 30 Aug 2026, 13:06 | 44,760 | -593 |
| 29 Aug 2026, 13:26 | 45,353 | -677 |
| 28 Aug 2026, 13:24 | 46,030 | -622 |
| 27 Aug 2026, 16:15 | 46,652 | -292 |
| 26 Aug 2026, 19:39 | 46,944 | no change |
| 26 Aug 2026, 15:45 | 46,944 | first reading |
Engagement
669 posts held, back to 26 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 72 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 4.17%
- avg views ÷ 93,127 subscribers
- Avg views / post
- 3,890
- 638 posts measured
- Reaction rate
- 0.022%
- reactions ÷ views · ER floor
- Posts in window
- 638
- of 669 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 87 of 638 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 | 669 (26 August 2026 – 26 September 2026) |
| Views total | 2,479,071 |
| Reactions total | 112 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 26 Sept 2026, 09:06 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
- Video runtime
- 2h 40m
- Average length
- 47s
Measured directly from 205 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
112 reactions across 87 posts, in 10 distinct kinds. The most used accounts for 63.4% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 71 | 63.4% | |
| 🔥 | 11 | 9.82% | |
| 🤔 | 8 | 7.14% | |
| 😢 | 5 | 4.46% | |
| 🎉 | 4 | 3.57% | |
| 👏 | 4 | 3.57% | |
| 😁 | 3 | 2.68% | |
| 😍 | 3 | 2.68% | |
| ❤ | 2 | 1.79% | |
| 🙏 | 1 | 0.893% |
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 669 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 112 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 669 most recent posts we hold, published 26 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.
Recent posts
【事件曝光】 #泰国新闻 【北碧府桑卡拉布里区面临山洪风险,区长下达指令落实四项举措,实行 24 小时防汛值守】 2026 年 09 月 26 日消息,泰国北碧府桑卡拉布里区河流水位持续上涨,洛基溪河水漫过堤岸,洪水侵入周边区域。当地寺庙后方草坪被淹,临近河道的僧舍凌晨五点起进水,水流湍急、水体浑浊。出于安全考量,寺庙对岸 8 户居民收拾家当,暂时搬至村内亲友家中避险,担忧后续强降雨导致水位继续上涨,桥梁通行受阻。
【事件曝光】 #越南新闻 【安江省男子无证酒驾毒驾,遇检查拒停冲撞执勤交警致双方受伤】 2026 年 09 月 26 日,越南安江省公安厅交警 1 队在 63 号国道平安乡安平村路段开展路面巡逻执法。执勤干部陈玉南少校发现男子仁某驾驶摩托车未佩戴安全头盔,随即示意其靠边停车接受查验。仁某拒不配合,加大油门试图逃窜,直接冲撞上前执勤的陈玉南少校。 撞击造成两人双双倒地受伤,涉事摩托车也出现损坏,伤者随后被送往坚江综合医院救治。经警方核查,肇事男子仁某属于无证驾驶,同时存在饮酒、吸食毒品的违法行为。到案之后,仁某对驾车冲闯抗拒执法的行为供认不讳。目前安江省公安部门仍在推进案件调查,将依据法律对其从严处置。 无证叠加酒驾、毒驾本身属于高危交通违法,再加上暴力抗拒执法、冲撞警务人员,多重违法行为叠加,社会危害性极大,也给一线路面执勤人员带来极高人身风险。
【事件曝光】 #越南新闻 【胡志明市下班高峰轿车失控连撞 6 辆摩托车,造成 1 人死亡 2 人轻伤】 胡志明市安富东坊(原第 12 郡)杜梅路‑园莱路口发生严重连环交通事故。傍晚将近 17 时正值下班晚高峰,车流密集,一辆四座梅赛德斯轿车从守德驶向安霜环岛,行至路口时车辆突发状况,高速撞上前方同向排队通行的一长列摩托车。 猛烈撞击将其中一辆摩托车卷入车底,轿车继续前冲,一直冲到路边汽车销售店才最终停下。现场绵延约 20 米路面散落多辆损毁摩托车,头盔、随身物品遍地狼藉。一名中年男子不幸遇难,另有两人受轻伤。据目击者描述,遇难者被撞击后甩到车辆挡风玻璃,随后摔落至人行道。 这场事故造成守德连通胡志明市西大门的主干道拥堵超过 5 公里。当地交警已经赶赴现场,开展现场勘查、清移事故车辆,同步调查事故具体诱因。 晚高峰车流量大,路面车辆密集,机动车一旦失控极易造成连锁碰撞,会带来惨重伤亡,提醒驾车者注意车况、控制车速,谨慎…
【事件曝光】 #泰国新闻 【曼谷时尚岛‑长廊商场受洪水阻断通路,宣布临时暂停营业】 曼谷及周边多地出现洪涝灾情,时尚岛‑长廊商场官方发布通知,受洪水侵袭,通往商场的通行道路被阻断,商场随即临时停止对外营业。 商场方面表示,后续将持续研判水情变化,再另行公布恢复营业的具体时间,同时就停业给顾客带来的不便表达歉意。 雨季强降雨极易造成城市道路积水内涝,低洼地段商业场所会面临通行受阻风险,商户需要提前做好防汛预案,民众出行也应当留意道路积水提示。
【事件曝光】 #国内讯 10月1日起,举报资金盘、传销、违规直销有奖,最高奖励100万。 自10月1日起,群众举报资金盘、传销、违规直销相关违法线索可申领奖励。线索经查证属实,最高奖励可达100万元,鼓励广大群众积极揭发各类金融骗局与违法营销活动。 什么是资金盘、传销、违规直销? 资金盘:没有真实实体生意,靠不断拉新人交钱,用后进场人的钱给前面的人分红返利。一旦拉不到新人,资金链断裂,平台直接跑路。民族资产解冻、虚拟币理财、高息项目大多属于资金盘。 传销:以发展人头为核心,靠拉人入伙、交入门费,按发展下线层级拿提成,不是靠卖产品赚钱,属于违法犯罪。 违规直销:正规直销有国家颁发牌照,超出许可范围、拉人头计酬、夸大收益、变相传销的,都属于违规直销。 举报奖励相关条件 实行实名举报,提供完整详实证据,线索为执法机关尚未掌握,核查属实立案后,方可申领奖励。 奖励分阶段核发:线索初步核实有效发放基础奖励;案件成功立案侦查追…
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【事件曝光】 #泰国新闻 泰国副总理约查南视察色军府 高僧祝福其当上总理当场脸红 副总理约查南·翁沙瓦带队到访色军府帕乔寺参拜镇县石晶佛像,高僧现场送上祝福,祝愿他能够出任总理,这番话语让约查南当场脸红,现场众人齐声应和,氛围轻松融洽。本次行程中,约查南还主持当地长船竞赛、放河灯等传统节庆开幕仪式,登台和舞者一同互动。 约查南随后出席青少年公益活动开幕式,观看学生文艺表演。他同步对外介绍民生帮扶进度,已有四十多万户家庭完成签约,补贴资金将在一至两周内陆续拨付。针对农民扶持政策,相关方案已提交各委员会审核,将召开专项会议加速推进,化解农户面临的难题。
【事件曝光】 #泰国新闻 泰国曝光武器库:前将军之子持短枪长枪50余支 EOD详查 曼谷邦帕区一处住宅发生火灾并传出疑似枪响,警方、消防、爆炸物处理EOD团队赶赴现场处置。屋主为前将军之子,纵火后在二楼身亡。工作人员搜查房屋,起获各类枪械共计50余支,包含5把手枪、2支长枪,其余为BB气枪与空包弹枪支,现场查获的爆炸物经核实全部为仿制品。 接警后多部门警力、鉴证人员以及救援志愿者同步封锁现场开展勘查。警方对全部物品逐一清点核验,确认不存在真实爆炸危险品,后续将继续调查这批枪械的来源,厘清事件完整经过。
【事件曝光】 #泰国新闻 泰国国家公园厅厅长下令关闭风险区公园 暴雨恐危及游客 泰国国家公园、野生动物和植物保护厅厅长阿塔蓬发布指令,受大范围强降雨影响,多地存在山洪风险,要求高风险区域的保护区可临时关闭园区,关停时长最多3天,待险情消退后再恢复开放,防范游客遇险。多个知名瀑布景区陆续发布临时闭园通知。 考艾国家公园下辖多处瀑布、溪流景点暂停接待游客,北标府七少女瀑布、莫绿植物园因暴雨河水暴涨、步道被淹,伴有树木倒伏,也同步闭园。园区提醒民众切勿进入山区、溪流附近活动,相关部门持续监测水位与雨情,评估安全状况。
【事件曝光】 #泰国新闻 泰国人民党领袖纳塔蓬突访大城府洪区 批政府只发泡沫 呛总理来睡水里 泰国人民党领袖纳塔蓬带队前往大城府蓄洪灾区视察灾情,实地走访水闸、河道等关键点位。纳塔蓬指出昭披耶水坝持续泄洪,水位不断上涨,未来泄洪量还可能进一步增加,他批评政府仅发放泡沫物资简单救灾,缺少完整水资源治理方案,并提出四项紧急救灾建议,包含修建标准永久避难所、备好撤离船只、提前转移弱势群体、落实蓄洪区补偿。 同行人士与当地乡长反映,避难所资源不足,不少灾民只能在路边搭帐篷,当地连续两年反复遭洪水侵袭。乡长直言高层官员不了解灾民苦难,喊话总理到洪区居住体验。村民也表达失望,称过往诉求提出后没有实质改善。纳塔蓬承诺将持续施压政府,推动水利系统改造与救灾政策落地。
【事件曝光】 #泰国新闻 泰国清迈:男子用砍刀刀柄砸死67岁老人后弃尸稻田,称对方偷南瓜激愤 清迈府湄登县警方押解27岁嫌疑人吉沙达前往案发地点现场指认。嫌疑人供述,发现67岁龙眼园看守老人采摘园内3个南瓜,情绪失控,拿起砍刀刀柄击打老人头部三下,之后拖拽遗体丢弃到稻田,嫌疑人声称当时以为对方只是昏迷,并无杀人意图。 嫌疑人表示老人多次前来偷取南瓜,本次冲突一时冲动酿成悲剧,已向死者家属致歉。警方完成现场还原和审讯,对嫌疑人告知相关指控,将其移送法院收押,案件后续依法推进审理。
Showing the 12 most recent of 669 posts we hold for @xinwenbaoguang00. 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.
Mentions
Named by 9 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.
Named by
Channels on the register whose posts name this channel's handle.
@meirixinwenquan · 71,5076 posts曝光:新闻/黑台/跑路/天眼
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@NaiYouyoyo · 11,2822 posts『 色情吃瓜』中文剧情
@qingsechigua · 18,3161 post
Names
Channels on the register whose handles appear in this channel's posts.
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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 26 September 2026 — this entry's latest reading, not the date you are reading this.
“新闻头条曝光” (@xinwenbaoguang00), 93,127 subscribers as measured 26 September 2026. Telegram Register, tgregister.com/channel/xinwenbaoguang00.
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.