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Channel

全球爆料曝光|吃瓜新闻突发热瓜

@globalnewsexpose

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

9,464subscribers

+1,412 since we began measuring on 16 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1001339429030
TypeChannel
Username@globalnewsexpose
CreatedBetween 1 March 2018 and 31 August 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded16 August 2026
Last confirmed live15 September 2026
Measurements held10
Confirmed unchanged1 time, most recently 15 September 2026
On Telegramt.me/globalnewsexpose

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 38% 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

8,0529,4648,75816 August 2026 — 8,052 subscribers17 August 2026 — 8,121 subscribers20 August 2026 — 8,156 subscribers24 August 2026 — 8,242 subscribers27 August 2026 — 8,574 subscribers30 August 2026 — 8,888 subscribers2 September 2026 — 9,123 subscribers6 September 2026 — 9,305 subscribers11 September 2026 — 9,396 subscribers15 September 2026 — 9,464 subscribers16 August 202615 September 2026
10 measurements spanning 30 days, net +1,412. 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 7,840–9,676 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
15 Sept 2026, 11:579,464+68
11 Sept 2026, 09:599,396+91
6 Sept 2026, 20:209,305+182
2 Sept 2026, 13:489,123+235
30 Aug 2026, 03:158,888+314
27 Aug 2026, 09:268,574+332
24 Aug 2026, 03:048,242+86
20 Aug 2026, 06:148,156+35
17 Aug 2026, 16:048,121+69
16 Aug 2026, 21:158,052first reading

Engagement

40 posts held, back to 15 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 13 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
64.8%
avg views ÷ 9,464 subscribers
Avg views / post
6,140
19 posts measured
Reaction rate
0.143%
reactions ÷ views · ER floor
Posts in window
19
of 40 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.

What these figures were computed from
WindowRolling 30 days · latest post in window 28 August 2026
Posts held40 (15 August 202628 August 2026)
Views total116,583
Reactions total167
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken28 Aug 2026, 16:58 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
29m 33s
Average length
45s

Measured directly from 39 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

320 reactions across 39 posts, in 11 distinct kinds. The most used accounts for 59.4% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
19059.4%
👍8727.2%
😨103.13%
🙏82.50%
😢72.19%
😱72.19%
🔥30.938%
🤡30.938%
🫡30.938%
😁10.313%
🤔10.313%

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 39 of the 40 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 320 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 40 most recent posts we hold, published 15 August 2026 to 28 August 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.

Telegram Stars

Stars received
1
across the posts below
Posts paid on
1
of 40 we hold a reading for · 3%
Most on one post
1
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @globalnewsexpose. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.

Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.

This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.

Counted over the 40 most recent posts we hold for this entry, published 15 August 2026 to 28 August 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.

Recent posts

28 Aug 2026, 14:36 UTC≈1,460 views3 reactionsread 28 August 2026
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🆕💥 震撼 爆料!网传 国乒掌门人 刘国梁 被纪检带走调查,各类推文 刷屏 引爆热搜! #體壇爆料 #反腐 #八卦吃瓜 ——— 🔥核心资讯👇👇 近日,一条关于中国乒协主席、WTT理事会主席刘国梁的重磅传闻在海内外社交平台疯传,相关讨论热度持续登顶。 网传爆料核心时间线与细节: 5月传闻: 网传早在今年5月刘国梁便已接受初步约谈。 6月底风波: 传出夫妻二人办理“技术性离婚”以规避资产与法律风险。 8月23日事发: 网传消息称,刘国梁于上海崇明体育训练基地正式被纪检部门带走。 海外推文发酵: X(原Twitter)等外网账号出现模仿官方通报格式的文案,声称其“涉嫌严重违纪违法正接受纪律审查和监察调查”。 官方现状核实: 截至目前,中央纪委国家监委、国家体育总局及上海纪委等官方渠道均未发布任何正式通报。 国内权威信源暂无定论,所有约谈、带走及离婚避险等说法目前均属网络未证实舆情。 请大家理性吃瓜、不信谣不传

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28 Aug 2026, 08:48 UTC≈3,500 views10 reactionsread 28 August 2026
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💥🔥 社会爆料!期末均分低 教师被拉上台示众?四川一地教育会大屏赫然打出“耻辱”二字合影!官方已介入! #社會新聞 #熱點事件 #教師尊嚴 ——— ☄️核心内容👇👇 网传四川凉山雷波县2026年秋季教育行政会现场流出惊人一幕:多名教师被要求在台上列队,背后大屏幕赫然写着“期末考试平均成绩15分/30分以下教师合影”,正下方直接醒目标注巨大字样——“耻辱”。 📌 重点速览: 照片属实:凉山州教体局已证实网传现场图片真实无P图。 联合核查:州教体局联合雷波县政府及教体局已展开调查,重点核实屏幕分数属性(学生均分还是教师考核分)以及使用“耻辱”字样的决策背景与经过。 舆论炸锅:网友痛批乡村教育受生源、资源等多重因素影响,把一线老师拉上台公开处刑、极尽羞辱,不仅践踏师尊,更严重挫伤基层教师积极性。 #頭條新聞 #唯分數論 #教育亂象

😨4😱32🤔1

27 Aug 2026, 14:32 UTC≈25,300 views24 reactionsread 28 August 2026
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🆕🔝 币圈 劲爆 爆料!景甜 千万代孕风波 男主 浮出水面? #Tron $TRX 波场链 創辦人 孙宇晨 正式起诉 景甜全家 索赔3000万? 幣圈 嘩然 !景甜工作室回应:一切交给法院! #我的女友景甜 #幣圈大瓜 #景甜代孕 ——— 📌核心内容👇👇 近日,币圈顶流、波场TRON创始人孙宇晨与知名女星景甜正式撕破脸,直接对簿公堂,涉案金额高达3000余万元! 事件核心速报: 🔹 孙宇晨方诉讼: 代理律师张起淮证实已正式立案并申请财产保全,称两人此前为情侣且已到谈婚论嫁阶段,上半年分手后,依法追讨给付的3000余万元彩礼。目前景甜方已提出管辖权异议,案件尚未进入实体审理。 🔹 景甜方回击: 景甜工作室火速发布声明,硬刚对方是**“以艺人声誉为要挟的碰瓷行为”**,表示一切交由法院依法处理,除维权进展外不再回应。 🔹 孙宇晨发文整活: 诉讼曝光同时,孙宇晨在社媒X上发布《我的女友景甜》长文,开头直言“一颗卵子的重量3.

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27 Aug 2026, 07:18 UTC≈25,100 views16 reactionsread 28 August 2026
Forwarded from @ZCYL_OfficalVideo

🔥 智创 体坛爆料!曾被老师嘲讽踢球不能当饭吃,到身价两亿的法国领袖!姆巴佩 用19年走完偶像 C罗 的路,他到底算不算是当代年轻人的终极逆袭模板? 🔥 #智创娱乐 #体育新闻 #爆料 #足球 ——————展开全文——————👇 🚨 曾经被嘲笑踢球能当饭吃吗,如今却用双脚征服了全世界! 从邦迪街头贴满C罗海报的卧室,到伯纳乌球场的万众瞩目,基利安·姆巴佩用了整整19年,把年少吹过的所有牛逼全部变成了现实! ⚡️ 姆巴佩逆袭封神的超神进阶之路: 打破质疑的摩纳哥横空出世: 16岁替补登场打破亨利保持的最年轻出场纪录,16-17赛季44场轰入26球,率领摩纳哥打破巴黎垄断斩获法甲冠军; 俄罗斯世界杯一战封神: 19岁身披法国10号战袍,淘汰赛对阵阿根廷4分钟连进两球,决赛斩获进球成为继贝利后第二位在世界杯决赛进球的20岁以下球员,捧起大力神杯! 俱乐部数据全面封王: 7年巴黎生涯306场斩获255球108助攻,加冕队史

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27 Aug 2026, 07:15 UTC≈10,800 views11 reactionsread 28 August 2026
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🆕💥 监控画面 曝光!中国女留学生 在韩遇害 被分尸,嫌犯 郑昌圣 穿女装逃匿 细节全曝光! #震撼爆料 #社會新聞 #在韓國女留學生 ——— 🔥核心内容👇👇 残忍杀害中国女留学生凶手郑昌圣(中国籍大学前讲师)已被警方抓获并承认罪行,作案手段极其残忍,情节令人发指: ▪️作案细节曝光:凶手在住所内将女生勒死,随后使用工具严重毁尸,分装在塑料袋中,驾车抛尸至庆山、京畿等多地。 ▪️变态伪装行径:行凶后,郑某穿上死者的女装、蒙面离开住所,搭乘公共交通前往大邱,在附近公厕换回男装企图掩盖行踪。随后监控还拍到其提包丢弃尸体痕迹的画面。 ▪️凶手单方辩解:郑某声称两人为恋爱关系,因“结婚要求产生矛盾”而偶发行凶。警方强调该动机仅为其单方面供述,鉴于其犯罪行为远超一般水平,已决定对其进行精神病态者诊断测试(Psychopath Test)。 ⭐️ 最新进展:韩国警方已正式以涉嫌杀人等罪名向法院提请批捕郑昌圣,逮捕必要性审查

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26 Aug 2026, 11:31 UTC273 views1 reactionsread 26 August 2026
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曝光 现场实拍 爆料!受尼泊尔侧特大灾害波及,西藏 吉隆口岸 遭遇毁灭性泥石流,轰鸣声不断、道路彻底瘫瘓! #重磅爆料 #西藏泥石流 #緊急救援

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26 Aug 2026, 07:41 UTC≈1,280 views2 reactionsread 26 August 2026
Forwarded from @PopVerseEntPhoto

🔥💥 娱乐 爆料!包贝尔 深夜私会 红发辣妹?同吃火锅回酒店 同房 共度整夜! #包貝爾疑似出軌 #娛樂圈大瓜 #狗仔爆料 ——— 🔔精彩看点👇👇 👀 狗仔拍到大动作! 八月中旬,一名身着红衣的火辣红发美女现身包贝尔入住的酒店。次日晚间,两人被拍到一前一后前往同一家火锅店用餐,结束后同样是前后脚分开离开。 🌙 凌晨密会细节曝光: 凌晨一点左右,红发美女返回酒店途中一路发语音消息。 仅仅3分钟后,包贝尔悄悄来到美女房门前,甚至谨慎地把走廊窗帘拉上后才刷门进入! 两人在房间内独处整夜,直到次日上午8点包贝尔才离开女方房间。 随后包贝尔回自己房间换了套衣服,便下楼与助理汇合外出开工。 👀 网友热评瞬间炸锅:“除了包文婧还真有人要啊?” “这波谨慎拉窗帘的操作也是绝了……” 吃瓜群众速来围观,你怎么看?👇 #出軌實錘 #明星八卦 #包貝爾包文婧

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26 Aug 2026, 06:48 UTC≈1,150 views6 reactionsread 26 August 2026
Forwarded from @ZCYL_OfficalVideo

🌟智创ZC 🇳🇴🦶冲榜高胜率分析 😂 ⚽️ 欧战 03:00 里昂-费内巴切 推荐 里昂-0.5 ⚽️欧战 03:00 林茨-凯尔特人 推荐 林茨+0.25 🦶 🇫🇷更多串关波胆猛料比分⚽️🇧🇷 🤔助推 #智创 发布优质体育内容 👈 🧸 代理合作伙伴请洽 👉@bmw860316

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25 Aug 2026, 14:21 UTC≈6,640 views15 reactionsread 26 August 2026
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☄️💥 重磅 爆料!在韩失联5天 中国女留学生 确认遇害!嫌疑人 已被逮捕,遗体在其住处被寻获! #大邱失聯女生 #海外留學安全 #社會新聞 ——— ✨核心内容👇👇 据韩媒及警方最新消息,在大邱失联多日的25岁中国女留学生文文(化名)已确认遇害。 📌 事件关键进展: 凶嫌落网:韩国庆北警察厅于8月25日晚在庆山市拘捕一名30多岁的韩国籍男性嫌疑人。 遗体寻获:警方在该男性嫌疑人的住处发现了文文的遗体,案件疑涉暴力杀害。 受害者背景:文文于8月14日赴韩领取硕士毕业证,此前已在国内敲定工作,原定于8月23日乘机回国,却在20日晚最后一次在东大邱站附近露面后与家人彻底失联。 官方跟进:中国驻釜山总领馆正与韩国警方紧急沟通核实,将跟进发布官方通报。 #暴力犯罪 #熱點追蹤 #韓國留學生

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25 Aug 2026, 06:12 UTC≈12,000 views21 reactionsread 26 August 2026
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💥☄️ GTA6 泄密 风波 大反转!黑客“替天行道”人设崩塌,背后竟是炒币 割韭菜?Take-Two已全面追杀! #遊戲爆料 #黑客洩密 #吃瓜熱點 ——— 🔎核心资讯👇👇 最近轰动全网的《GTA 6》泄密事件迎来惊天大逆转! 起初,自称 CyberLeek(大葱哥) 的黑客打着“为玩家维权”、“抗议索尼/R星取消实体光盘与反复跳票”的幌子博取全网同情,甚至化身“赛博罗辑”,号称手握可运行的完整构建版本,启动了预上传威慑程序威胁官方。 然而,这场看似轰轰烈烈的“玩家起义”,真实目的已被彻底扒光: 发币割韭菜: 黑客每次放出泄露片段,都会绑定推广自家加密代币 $LEEK,甚至明码标价“币价涨到目标区间才放下一阶段内容”,借顶级流量拉高出货套现! 法务雷霆出击: 母公司 Take-Two 已经向法院申请传票,强制要求 微软与 Discord 限期交出 CyberLeek 的真实身份与侵权记录。 老旧版本与病毒陷阱

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25 Aug 2026, 00:58 UTC≈6,750 views4 reactionsread 25 August 2026
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🆕💥 救债市 要靠美军?特朗普 再出惊人言论:稳定美债收益率 的“终极手段是出动美军”?! #宏觀經濟 #美國經濟 #美聯儲 ——— ⚡️核心内容👇👇 面对长期美债收益率回升与债券市场波动,特朗普在接受现场记者采访时发表了一番震撼言论: 📌 核心要点速览: • 否认直接干预:特朗普表示,财政部长贝森特(Scott Bessent)干预债市并非自己直接指示,并称赞贝森特对债券和利率市场有极强的专业直觉与敏锐度。 • 语出惊人:当被记者问及长期美债收益率再次上升、是否会考虑采取其他形式的干预手段时,特朗普直言:“我们有多种干预方式,这只是其中一种。而终极干预手段是我们的军队,如果有必要动用,我们就会动用。” • 市场与网友热议:此番言论迅速引发舆论哗然,不少网友热议这是否暗示要通过地缘局势来逼出全球资本对美债的“避险买盘”。 #避險資產 #全球金融 #軍事干預

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24 Aug 2026, 20:35 UTC≈4,130 views3 reactionsread 25 August 2026
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足聯英超 大爆料 曝光 切爾西

3

Showing the 12 most recent of 40 posts we hold for @globalnewsexpose. 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.

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.

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.

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

“全球爆料曝光|吃瓜新闻突发热瓜” (@globalnewsexpose), 9,464 subscribers as measured 15 September 2026. Telegram Register, tgregister.com/channel/globalnewsexpose.

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.