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Channel

大事件曝光|头条新闻

@dashijianbaoguangcom

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

21,081subscribers

+0 since we began measuring on 12 October 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1002597544873
TypeChannel
Username@dashijianbaoguangcom
CreatedBetween 1 March 2025 and 31 July 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded12 October 2026
Last confirmed live20 October 2026
Measurements held2
Confirmed unchanged7 times, most recently 20 October 2026
On Telegramt.me/dashijianbaoguangcom

Growth

21,08112 October 2026 — 21,081 subscribers14 October 2026 — 21,081 subscribers12 October 202614 October 2026
2 measurements spanning 2 days. 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 21,060–21,102 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
14 Oct 2026, 04:3021,081no change
12 Oct 2026, 08:2221,081first reading

Engagement

10 posts held, back to 11 October 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 1 page of Telegram’s post history, 20 posts per page.

ERR · 30 days
0.006%
avg views ÷ 21,081 subscribers
Avg views / post
1.3
10 posts measured
Reaction rate
100.0%
reactions ÷ views · ER floor
Posts in window
10
of 10 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 3 of 10 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 12 October 2026
Posts held10 (11 October 2026 – 12 October 2026)
Views total13
Reactions total3
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken12 Oct 2026, 08:22 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
16s
Average length
5s

Measured directly from 3 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

3 reactions across 3 posts, in 1 kind.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🔥3100.0%

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 3 of the 10 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 3 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 10 most recent posts we hold, published 11 October 2026 to 12 October 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

12 Oct 2026, 06:50 UTC1 views1 reactionsread 12 October 2026
Photo

#菲律宾新闻:菲律宾宿务市查获41公斤冰毒,价值2.78亿比索! 菲律宾当局于2026年10月10日在宿务市马博洛村(Barangay Mabolo)开展一次诱捕行动,查获41公斤疑似冰毒,估值约2.78亿菲律宾比索,并逮捕了一名30岁的嫌疑人。该嫌疑人绰号为“Erwin”。 菲律宾缉毒局第七区办公室(PDEA 7)于10月12日(星期一)表示,这是自2016年以来中米沙鄢地区查获的最大宗毒品案件。 被查获的毒品已送交实验室进行检测。目前,嫌疑人仍由菲律宾缉毒局拘押。 投稿曝光澄清➡️@dnybaoguangbot —————————— ———————— ➡️ 东南亚大事件 ➡️ 大事件曝光 ➡️1

🔥1

12 Oct 2026, 06:48 UTC1 views1 reactionsread 12 October 2026
Video

😃😃😀😃 😀😃 😀😃 😀😃😀😃 🥍🏏🪃🥅 东南亚大事件 ⛳️🪁🏹🎣 😃😃😃: 我们以在TG各大、新闻频道、曝光频道、交流群组、交流社区、引流推广多年,与各行各业,进行深度合作,共同发展,东南亚大事件担保! 😃😃😀😃 😀😃 😀😃 😀😃😀😃 😃😃😃东南亚大事件用于,国内外华人群体,关注最新,重大新闻,突发事件! 😀😃: 揭秘曝光各大园区,黑暗内幕,扶手与盘总聚集地,了解实时最新信息! 😀😃: TG频道排名🎆TG群组排名🎆关键词搜索🎆精准流量🎆定向引流🎆 😀😃:💥置顶💥标签💥文字💥按钮 #东南亚新闻 #东南亚大事件 #东南亚博彩

🔥1

12 Oct 2026, 06:04 UTC1 views1 reactionsread 12 October 2026
Photo

#越南新闻 骗完投资款再冒充律师骗一笔,跨境黄金诈骗案24人被立案 10月9日,越南芹苴市警方通报,一伙越南人在柬埔寨以投资“虚拟黄金”为名实施诈骗,初步查明4名受害者累计被骗约265.6亿越南盾。 团伙先引导受害者下载Phantom应用,再发送链接,要求注册账户、向所谓的黄金交易平台充值,借投资交易的名义骗走资金。 骗走投资款后,团伙又安排成员冒充律师,声称能帮忙追回损失,要求受害者继续交钱。等对方再也拿不出钱,便直接切断联系。 案件线索来自2026年1月20日柬埔寨警方移交的164名越南公民。这批人员经越南同塔省边境口岸被移交后,芹苴警方调查发现,其中部分人参与了上述诈骗。 投稿曝光澄清➡️@dnybaoguangbot —————————— ———————— ➡️ 东南亚大事件 ➡️ 大事件曝光 ➡️1

🔥1

12 Oct 2026, 06:04 UTC1 viewsread 12 October 2026
Photo

#巴基斯坦新闻 假卖手机真盗刷,拉合尔诈骗窝点37人被捕 10月11日,巴基斯坦媒体报道,国家网络犯罪调查局10月10日突查拉合尔焦哈尔镇一期一处诈骗呼叫中心,抓获37名嫌疑人。 这个窝点专门盯上美国和加拿大居民。涉案人员涉嫌冒充当地手机运营商员工,通过网络电话推销手机,骗取受害者的信用卡、借记卡资料,再利用这些资料盗刷资金。 执法人员查扣40台笔记本电脑、35部手机和5台电脑主机,部分设备内发现诈骗相关软件和数据,已封存送检。 这处呼叫中心涉嫌由哈菲兹·阿里·艾哈迈德经营,突查时他不在场。执法部门已立案调查。 投稿曝光澄清➡️@dnybaoguangbot —————————— ———————— ➡️ 东南亚大事件 ➡️ 大事件曝光 ➡️

12 Oct 2026, 06:01 UTC1 viewsread 12 October 2026
Photo

上海男子同时交往2个富婆骗取1700万(我也想交2个富婆) 上海这名男子在夜场谋生,游走在两位年近半百的富婆之间。平日里巧舌如簧,编织各种说辞博取对方的好感与信任,两头周旋,不动声色。 一来二去,两名富婆被他打动,陆续拿出钱财,前后合计1700万。只是这笔巨款并没有用来创业翻身,全都被他拿去偿还堆积如山的赌债。 等到事情败露,案件送上法庭。其中一位富婆念着曾经的情分,心软出具谅解书,希望能给他减轻惩罚。奈何涉案金额过于巨大,谅解书也没能改变最终结果,男子被判处12年有期徒刑。 无数普通人日复一日埋头打拼,起早贪黑,省吃俭用,一辈子都很难攒到千万级别资产。他不用风吹日晒,不用辛苦做生意,靠着陪伴和话术,就能拿到旁人遥不可及的财富。 PS:妈的,每天狗一样做15个小时,我也不想努力了,我也想有富婆包养我 投稿曝光澄清➡️@dnybaoguangbot —————————— ———————— ➡️ 东南亚大事件 ➡️ 大事…

12 Oct 2026, 06:01 UTC1 viewsread 12 October 2026
Photo

#日本资讯:大阪37岁中国籍女子涉嫌参与假警察诈骗,涉案约7500万日元 10月9日报道,日本大阪府警方近日逮捕并移送检方一名37岁中国籍女子黄翠(音译),怀疑其参与冒充警察实施的特殊诈骗案件,涉嫌在5起案件中回收合计约7500万日元的诈骗所得。 据日本媒体报道,该女子在诈骗团伙中负责回收赃款。团伙成员冒充警察,向受害者谎称其银行账户涉嫌犯罪,诱骗受害者交出现金。随后,另一名涉案人员将现金放置在餐厅或大楼的独立卫生间内,再由黄翠按照团伙指示取走,并转交给上游人员。 警方调查发现,一名38岁台湾籍男子也涉嫌参与该诈骗团伙,负责直接向受害者收取现金。警方目前已查明12起相关案件,累计涉案金额约2亿日元,其中黄翠涉嫌参与的5起案件涉及约7500万日元。 其中一起案件发生于今年1月,两人涉嫌合谋冒充警察,诈骗奈良县一名70多岁女性,骗取现金2000万日元。 目前,案件仍在进一步调查中。警方尚未公开两名嫌疑人的具体认罪情况。 …

12 Oct 2026, 03:33 UTC2 viewsread 12 October 2026
Video

#网友投稿:缅甸亚太刚刚又又炸楼了吗,我睡的正香,给我吓醒了,连隔壁的车都被震得哇哇叫,警报声响个不停,还以为是打仗了。 投稿曝光澄清➡️@dnybaoguangbot —————————— ———————— ➡️ 东南亚大事件 ➡️ 大事件曝光 ➡️

12 Oct 2026, 03:31 UTC1 viewsread 12 October 2026
Forwarded from @dnybocai8Video

😃😃😃 《#东南亚博彩》: 只为推荐优质网投盘口,我们以在TG各大飞机、频道、群组,引流推广多年,与博彩盘口,进行深度合作! 🤩🤩🤩 🤩🤩🤩🤩🤩🤩🤩🤩 🤩PG电子·WG电子·JDB电子·BBIN真人 · DB真人 · 等热门游戏精彩纷呈 😁😄😃😀😆 😁😄😃😀 🇽🇰U存U取🇽🇰便捷高效🇽🇰闪电到账🇽🇰 🇽🇰畅享体验🇽🇰大额无忧🇽🇰信誉第一🇽🇰 🇽🇰多元游戏🇽🇰应有尽有🇽🇰爆奖不停🇽🇰 🚢🤫🫠🤥😶🚢🫥😐🫤😑🚢 ✨每一次挑战,都有新的精彩,选择东南亚博彩,畅享优质娱乐体验! 📍 东南亚博彩 📍定位全球📍超乎想象

12 Oct 2026, 03:30 UTC2 viewsread 12 October 2026
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#网友求助:我们是7月份木姐城外105码被冲的园区,600多个人做国内杀猪盘,因为园区被打死一个龙国卧底,导致园区被冲 图中是盘总 #凌文强 和他的女人 #陈淑凤 现在老板又集合我们在这个地方,每天管理打人,经常有人被拉走不见,希望中国警察尽快查处这里,拯救同胞 投稿曝光澄清➡️@dnybaoguangbot —————————— ———————— ➡️ 东南亚大事件 ➡️ 大事件曝光 ➡️

11 Oct 2026, 21:56 UTC2 viewsread 12 October 2026
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#东南亚曝 #光华体会 #大事件曝光 提现7万不到账,盈利后反被一次性划扣107万!请正面回应】 本人自述,愿对以下内容真实性负责。本人在华体会平台玩了近一年,账号:〔账号IDxx203500〕。最近30天在该账号输了约30万元,历史累计输了约100万元。 一、时间线经过 1. 10月4日上午,我在平台玩百家乐,输了6万元;当日下午又赢了回来,盈利7万元。随后我发起提现7万元,账户内还剩12万元余额。 2. 这笔7万元提现一直未到账。我多次询问客服,客服一直推脱,只让我“等待”“审核”“通道问题”,没有给出明确到账时间。 3. 在等待出款的几天里,我因为一直不到账,就继续在平台玩。期间最高一度赢了约300万元,但因为平台一直不出款,我继续下注,又输回去约200万元。 4. 10月8日,我账户余额还有约100万元。下午提款显示失败,平台说我“流水缺三十多万”。1分钟之后直接划扣所有余额 5. 我前后只充值了7万元,却打出了几…

Showing the 10 most recent of 10 posts we hold for @dashijianbaoguangcom. 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

Republished by

Channels on the register that have forwarded this channel's posts into their own feed.

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

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 14 October 2026 — this entry's latest reading, not the date you are reading this.

“大事件曝光|头条新闻” (@dashijianbaoguangcom), 21,081 subscribers as measured 14 October 2026. Telegram Register, tgregister.com/channel/dashijianbaoguangcom.

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.