#最新消息:老挝金三角特外的新盛泰刚刚不知道又抓了多少个推推,后面现场已经停满了大巴车,准备拉回去了
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Channel
@DNYBG003
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
34,196subscribers
-2,046 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 31,623–100,000.
| Telegram ID | -1001735189475 |
|---|---|
| Type | Channel |
| Username | @DNYBG003 |
| Description | #东南亚 #柬埔寨 #菲律宾 #缅甸 #泰国 东南亚曝光吃瓜娱乐频道专注于东南亚华人最新动态资讯,生活故事分享,让你看尽海外华人大小事。 曝光澄清免费 删帖悬赏付费 本频道只负责发布,自行甄别 曝光投稿商务合作 @dashuzhaoshang |
| Created | Between 1 December 2021 and 30 April 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 7 September 2026 |
| Measurements held | 28 |
| Confirmed unchanged | 1 time, most recently 7 September 2026 |
| On Telegram | t.me/DNYBG003 |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 7 Sept 2026, 15:56 | 34,196 | +662 |
| 4 Sept 2026, 18:17 | 33,534 | -728 |
| 3 Sept 2026, 07:03 | 34,262 | +1,532 |
| 2 Sept 2026, 02:27 | 32,730 | +1,716 |
| 1 Sept 2026, 02:35 | 31,014 | +2,559 |
| 31 Aug 2026, 00:07 | 28,455 | -561 |
| 29 Aug 2026, 21:17 | 29,016 | -852 |
| 28 Aug 2026, 21:08 | 29,868 | -834 |
| 27 Aug 2026, 23:36 | 30,702 | -81 |
| 27 Aug 2026, 02:48 | 30,783 | -400 |
| 26 Aug 2026, 03:43 | 31,183 | -537 |
| 25 Aug 2026, 03:54 | 31,720 | -467 |
| 23 Aug 2026, 21:35 | 32,187 | -918 |
| 22 Aug 2026, 08:14 | 33,105 | -495 |
| 20 Aug 2026, 20:43 | 33,600 | -179 |
| 19 Aug 2026, 20:15 | 33,779 | -200 |
| 18 Aug 2026, 17:37 | 33,979 | -163 |
| 17 Aug 2026, 19:33 | 34,142 | -211 |
| 16 Aug 2026, 19:38 | 34,353 | -343 |
| 15 Aug 2026, 07:19 | 34,696 | first reading |
447 posts held, back to 7 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 84 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 313 of 414 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 8 September 2026 |
|---|---|
| Posts held | 447 (7 August 2026 – 8 September 2026) |
| Views total | 205,176 |
| Reactions total | 14,298 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 9 Sept 2026, 01:40 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 9 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.
Measured directly from 100 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.
15,555 reactions across 340 posts, in 5 distinct kinds. The most used accounts for 20.4% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 3,170 | 20.4% | |
| 🔥 | 3,153 | 20.3% | |
| ❤ | 3,088 | 19.9% | |
| 🎉 | 3,075 | 19.8% | |
| 😁 | 3,069 | 19.7% |
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 340 of the 447 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 15,555 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 447 most recent posts we hold, published 7 August 2026 to 8 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.
#最新消息:老挝金三角特外的新盛泰刚刚不知道又抓了多少个推推,后面现场已经停满了大巴车,准备拉回去了
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#老外求助:阿门,上帝,请救救我们!地点:北纬15°18'21.33",东经98°23'30.60"。 我们三十多名印度人正在呼救。我们被困在缅甸一栋四层楼的建筑里。这栋楼原本应该是四层。他们强行没收了我们的护照,不让我们回家。我们想回家。我想念我的母亲,我想念我的孩子。 我们在一楼工作,那里很黑。两个老板每天都在一楼的办公室里喝茶。一个老板很高,另一个很矮,戴着眼镜。 我们向上帝祈祷,求他惩罚他们。他们每天都打我们,强迫我们工作。我们想回家。请救救我们! 许多缅甸人被他们的老板赶走了。这两个老板精神不稳定。很多人都离开了公司。现在只剩下中国人和印度人。 我们让家人往公司汇钱,充值我们的账户。他们用很多电击枪电击我们,还雇佣了很多武装保安监视我们。两个老板命令保安每天殴打我们;我们的臀部伤痕累累。 我们恳请当地政府官员和大使馆帮助我们。请转发此信息,让更多人了解我们的困境。愿因果报应惩罚你们的行为。
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#老挝资讯:万象又端一个网络犯罪窝点,酒店内43人被控制,468部手机被查扣 9月6日,老挝万象警方突查塞塔尼县农维康村的渝洲智能酒店,当场控制43人。酒店内查出大量电子设备,包括468部手机和数十台笔记本电脑,相关人员随后被带走调查。 9月初以来,万象连续清查网络犯罪和网络赌博窝点,多个地点接连被查,累计已有超过100人被控制,大批手机和电脑被查扣。
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#柬埔寨资讯:拜林监狱囚犯暴力视频流出 监狱长等4名官员被停职 因监狱管理存在严重违规,且狱内囚犯暴力冲突视频在社交网络流传引发舆论,柬埔寨副总理兼内政部长苏速卡决定对拜林省监狱监狱长高科厄及另外3名管理层官员予以停职处理。 柬内政部发言人杜索卡证实,该涉事暴力视频拍摄于2026年6月。9月8日,当局已正式任命埃基出任拜林省监狱代理典狱长,全面接管监狱管理工作。
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#柬埔寨资讯:戈公突查网络诈骗窝点,9名中国人被捕 9月8日上午,国公省哥公市警方向斯登维县辖区开展行政检查,并查获一起网络诈骗案件,现场抓获9名中国籍人员,其中包括1名女性。 警方表示,行动中查获了一些用于实施网络诈骗的笔记本电脑和手机。警方还透露,出租房屋给这批中国人的房东,是国公省初级法院秘书处的一名行政官员。 目前,9名中国人及相关设备已被带走调查,警方将依法进一步处理。
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#马来西亚资讯 BK5突然“大动作”!多部门联合突查,附近商铺接连被查! 9月8日中午,马来西亚吉隆坡金鑾镇BK5附近多家商铺出现联合检查行动,据了解,现场有多个部门及执法人员进入相关场所进行检查。没有合法证件的注意了。 目前尚不清楚此次行动的具体原因,以及是否有人员被带走或扣留,具体情况仍有待当地官方进一步通报。
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4800名美军到访芭提雅,5天消费约1亿泰铢 9月2日至6日,美国“亚伯拉罕·林肯”号航母约4800名海军及海军陆战队人员在泰国停靠期间前往芭提雅休整。芭提雅市长估计,5天内为当地带来约1亿泰铢(约300万美元)消费。 消费主要集中在餐饮、酒店、交通、娱乐和旅游等行业。此前芭提雅正值旅游淡季,当地商家客流有所下降,大批美军人员到来明显带旺了当地生意。 PS:小姐姐们也赚得钵满盆满
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#网友木牌突查一处涉嫌网络诈骗的建筑,具体情况等待官方通报。
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#泰国资讯:北榄府破获韩国电诈窝点 逮捕13名外籍涉案人员 泰国警方日前在北榄府邦披县一栋豪华住宅内,成功打掉一个专门针对韩国民众的电信诈骗窝点,当场逮捕12名韩国籍及1名中国籍嫌犯。 该团伙假冒检察官或政府官员,以法律诉讼相威胁诈骗财物。警方现场查获71余台电脑与手机、VoIP网络电话设备、诈骗话术、伪造的韩国政府公文及受害者名单。 目前,嫌犯初步被控非法务工,相关证据将移交韩国警方作进一步调查。
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😀🤓🤓🤓🤓🤓🤓 平台旗下无私彩 平台旗下无私彩 平台旗下无私彩 平台旗下无私彩 投资一亿美金打造全球顶级线上娱乐帝国! 始终坚持“用户至上,专业为本的运营理念力求为玩家带来公平公正、真实专业的高品质游戏竞技 ⚡️⚡️⚡️⚡️⚡️⚡️⚡️⚡️⚡️⚡️ 优势:😁 新人首存🥰最高可送 😁🥹🥹🥹🥹 优势:🥹 输赢千万从不卡款,出款备用金 😁😂😂😂😂😂😂🤣 优势:🤣 月福利每月3号全站发放 🥹🥹🥹🥹🥹 优势:😂 庄、闲一念间,好彩天天送 🥹🥹🥹🥹🥹 ⚡️⚡️挑战全网最高首存赠送比例!首存多少就送多少!不为赚钱只为交朋友! 旗下平台无私彩 诚信至上🤩🥸🤔🥶🥺🥺🫢 打造东南亚华人的专属银行 更多精彩活动,请联系客服咨询 😂 :您的专属: 87atm.vip 😂 :备用链接: 806.la ✅ :详情联系:@atmyl2332 ✅ :备用联系:@atmziyu888 🛎 :财富共享: @atmy
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Showing the 12 most recent of 447 posts we hold for @DNYBG003. 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.
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.
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 7 September 2026 — this entry's latest reading, not the date you are reading this.
“缅甸缅北东南亚吃瓜爆料” (@DNYBG003), 34,196 subscribers as measured 7 September 2026. Telegram Register, tgregister.com/channel/DNYBG003.
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.