#行业重磅消息:新币用户名,连四位数 ID 以及带有“+888”的账号也全部被封禁。,前车之鉴汇旺~
🎉9❤6👍4😁3🔥2

Channel
@DNY1978
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
98,853subscribers
+32,506 since we began measuring on 11 August 2026
Risers and fallers across the register · movement among entries of 31,623–100,000.
| Telegram ID | -1001682163062 |
|---|---|
| Type | Channel |
| Username | @DNY1978 |
| Description | 📣 欢迎关注东南亚·实时热点吃瓜! 实时新闻速递 + 热点讨论社区,让你不只是看新闻,更能参与分享观点! #东南亚 #柬埔寨 #菲律宾 #缅甸 #泰国 加入交流群: @bbqyinliu8 招商/投稿: @xinyyyyu |
| Created | Between 1 December 2021 and 30 April 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 11 August 2026 |
| Last confirmed live | 8 September 2026 |
| Measurements held | 24 |
| Confirmed unchanged | 1 time, most recently 8 September 2026 |
| On Telegram | t.me/DNY1978 |
National news — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 12 August 2026 and assigned it the closest of 31 fixed categories, at 51% 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 |
|---|---|---|
| 8 Sept 2026, 07:20 | 98,853 | -1,289 |
| 5 Sept 2026, 03:21 | 100,142 | -344 |
| 3 Sept 2026, 09:36 | 100,486 | -374 |
| 2 Sept 2026, 03:38 | 100,860 | -535 |
| 1 Sept 2026, 05:45 | 101,395 | -528 |
| 31 Aug 2026, 03:36 | 101,923 | -242 |
| 30 Aug 2026, 04:47 | 102,165 | -210 |
| 29 Aug 2026, 04:24 | 102,375 | -368 |
| 28 Aug 2026, 07:45 | 102,743 | -371 |
| 27 Aug 2026, 04:33 | 103,114 | -419 |
| 26 Aug 2026, 05:47 | 103,533 | -918 |
| 25 Aug 2026, 05:39 | 104,451 | -998 |
| 24 Aug 2026, 02:05 | 105,449 | -718 |
| 22 Aug 2026, 08:34 | 106,167 | -315 |
| 20 Aug 2026, 23:02 | 106,482 | -18,924 |
| 19 Aug 2026, 22:42 | 125,406 | -152 |
| 18 Aug 2026, 23:15 | 125,558 | -7,012 |
| 17 Aug 2026, 22:25 | 132,570 | -1,497 |
| 16 Aug 2026, 19:06 | 134,067 | -2,042 |
| 15 Aug 2026, 08:44 | 136,109 | first reading |
746 posts held, back to 11 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 58 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 631 of 746 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 9 September 2026 |
|---|---|
| Posts held | 746 (11 August 2026 – 9 September 2026) |
| Views total | 1,211,815 |
| Reactions total | 14,703 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 9 Sept 2026, 17:37 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 303 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.
14,703 reactions across 631 posts, in 6 distinct kinds. The most used accounts for 20.6% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 3,036 | 20.6% | |
| ❤ | 2,965 | 20.2% | |
| 😁 | 2,916 | 19.8% | |
| 🔥 | 2,893 | 19.7% | |
| 🎉 | 2,892 | 19.7% | |
| 👀 | 1 | 0.007% |
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 631 of the 746 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 14,703 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 746 most recent posts we hold, published 11 August 2026 to 9 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.
#行业重磅消息:新币用户名,连四位数 ID 以及带有“+888”的账号也全部被封禁。,前车之鉴汇旺~
🎉9❤6👍4😁3🔥2
美国财政部发布针对xinbi制裁公告后 新币Telegram内所有频道已被全部封禁! Ps:雪上加霜…
❤7👍6🔥6😁3🎉2
美司法部打击Xinbi诈骗服务市场,查封5200万美元加密资产 9月9日,据美国司法部公告,司法部诈骗中心打击工作组与财政部针对 Xinbi Guarantee 采取协调执法行动,单日查封及限制处置逾 5200 万美元加密资产,使该工作组累计限制处置的资产规模达到约 9.38 亿美元。Tether 为本次调查提供了主动协助。 司法部指控,Xinbi 是一个主要通过 Telegram 运营的非法诈骗服务市场,为诈骗团伙提供定制投资诈骗网站、洗钱服务,并招募人口贩运受害者前往东南亚诈骗园区工作。执法部门已查封其 Telegram 频道及两个合计持有约 1200 万美元的加密钱包,并限制处置另外 47 个相关钱包。 美国财政部海外资产控制办公室同时将 Xinbi 列为重大跨国犯罪组织 并制裁另外两个为其提供支持的实体。该工作组还协助马达加斯加关闭13 个由中国犯罪团伙运营的诈骗园区,处理超过 3200 台电子设备,当地逮捕近 …
🎉7👍7❤4🔥4😁2
#突发事件:西港长城刚刚被宪兵队围了,还有几辆大巴车在现场。
👍7🎉6❤5😁4🔥2
柬埔寨这些赌场要充公了 昨天,柬埔寨打诈委秘书长蔡西那烈披露,“截至2026年9月,共有18家涉嫌参与网络诈骗活动的赌场被锁定并吊销营业执照;另有9家赌场被暂停营业执照,目前正接受进一步调查与取证,以便在做出吊销执照决定前收集充分的定罪证据。” 18家已经被吊销的赌场名单如下: KMH Paradise Tower Hotel & Casino Eagle King Casino Orchid Hotel & Rich Casino Shanghai Resort Golden Galaxy Casino Le Leang Casino Golden Fortune Resort World Casino Knhom Casino Jin Bei Group Jin Bei Zhonghua Wei Golden Sand International Entertainment Casino G.C Casino Da J…
🔥8❤5😁5👍3🎉2
南非约翰内斯堡连续发生中国侨胞遭绑架案件 中使馆紧急提醒加强安全防范 约翰内斯堡9月6日电 中国驻南非大使馆近日发布安全提醒称,近期南非约翰内斯堡塞尔比(Selby)、杰米斯顿(Jeppestown)地区连续发生涉及中国侨胞的绑架案件,部分经营店铺、酒铺的华侨华人成为犯罪分子重点目标。中国驻南非使馆提醒在南侨胞密切关注当地治安形势,提高安全防范意识,主动防范绑架风险。 据中国驻南非使馆介绍,近期发生的相关案件中,犯罪分子主要以索取赎金为目的,并选择侨胞送货途中或门店附近实施绑架。连续发生的案件对当地中国侨胞的人身和财产安全构成严重威胁。 针对当前安全形势,使馆提醒在南中国侨胞进一步加强住所、经营场所及日常出行安全防范。对于处于较高风险地区的侨胞,使馆建议在条件允许的情况下尽快转移至相对安全区域,并加强店铺及住所周边的安全措施,可通过远程监控、“一键报警”等方式提升应急处置能力,同时与亲友、邻居保持密切联系,提前规划安全避险…
🎉7🔥7😁6❤2👍2
# 3个多月前,通过朋友担保介绍,从吉隆坡辞职,去到越南芽庄一家做日本盘的公司任主管一职。因为在芽庄带着团队这3个多月的打野时间赚了一波钱,所以公司的老板对我还是比较欣赏、比较信任,关系就越走越近。 8月初,公司发工资的一大笔钱,就是老板让我自行去换汇的,从中我还小赚了一点汇率差价,老板还说这是我应得的。8月中旬的一天晚上,老板又通知我和他的司机去他朋友那边拿一笔他朋友还他的钱,我也没多想。通过老板的指示,很快就把装钱的包裹📦在司机一起的见证下拿回来,给到老板了。 过后几天,我请老板司机喝了一次酒。我有意想从司机那边打听一些老板的喜好,打算过中秋送些老板喜欢的礼品给他。 司机喝酒上头了,就告诉我老板喜欢我们上次取回的那包裹里面的东西。说包裹那里面的钱,还藏夹着不少值更多钱的DU品。 我一听,脑子都是懵的,脸瞬间都吓白了。司机还说,老板已经把包裹里面的DU品分给了别人。那是贩DU啊!司机已经把我当自己人,该说的不该说的都…
❤8👍6🔥4🎉3😁3
#柬埔寨资讯:金边隆哥区突查住宅 查获1145部手机及471件电脑配件 9月9日中午12时30分,根据金边市政府领导指示,在相关部门协调下,联合执法力量突查金边市隆哥区一处住宅。 行动中,执法人员发现47岁柬埔寨籍女屋主索·索帕妮,并查获手机7箱、共计1,145部,以及电脑零配件16箱、共计471件。 经网络犯罪执法部门技术检查,现场物品未发现与网络诈骗(Online Scam)有关的数据。随后,涉案人员及相关物品被移交经济犯罪打击部门,依法进一步调查处理。住宅则交还屋主继续管理。 PS:谁家的装备被查
❤7🎉5😁5🔥4👍2
#越南资讯: 一通“快递电话”骗走近4亿越南盾:谎称误开每月400万套餐,7人落网 9月8日,越南谅山省公安公布一起假冒快递员电话诈骗案,阮文后等7人被立案羁押。该团伙从8月5日起作案,已骗走多名受害者近4亿越南盾。 他们专门收集网购客户资料,冒充快递员打电话,谎称客户付款时误开通了一项服务,每月会自动扣除400万越南盾。 受害者一旦慌张要求取消,电话就会被转给假冒仓库人员和物流总公司员工的同伙,再一步步诱导受害者向指定银行账户转账。 团伙分工明确,提前准备手机、电话卡、银行卡和虚假Facebook账号。阮文后负责租房、准备工具、分配任务和结算赃款,并从诈骗所得中拿走50%。 8月28日下午,警方突查谅山省武礼社欢中村一处高脚屋,当场发现9人正在冒充快递员拨打诈骗电话。 阮文后此前曾前往柬埔寨诈骗公司工作,返回越南后继续与外籍人员联系,并在当地组织人员实施诈骗。
👍8😁5❤4🔥4🎉3
西港最大彩票庄家被捕 柬媒消息:昨天,西港省警察局采取执法行动,成功逮捕西港最大的地下彩票庄家“汤先生”。 目前,嫌疑人已被暂扣于西港省警察局接受进一步审讯,等待依法作后续处理。 当前,西港警方正扩大排查范围,涉及非法彩票、网络斗鸡等危害社会治安的赌博从业人员均将面临法律惩处。
🔥8😁6❤4🎉3👍3
# 出国这些年,见过不少“言多必失”的人,仔细观察起来,他们其实并没有坏心眼,而且有些人的人品相当不错,只是有时候为了逞口舌之快,没有管住自己的嘴,才间接地影响了自己的生活。 每个成年人都必须明白一件事,那就是,我们说出去的话,是收不回来的。无论你后续做了什么补救,影响已经造成了。 如果让我总结在国外最不该说的三类话,那必须是下边这三种。 首先不该说的是气话。人在国外,既要赚钱,还要照顾好自己的情绪和生活,压力不是一般的大。有些人遇上什么事情都藏在心里,不会发泄出来,这样长久下去的后果就是,有时候他们实在忍不住了,会彻底爆发,说出很多气话,比如在电话里攻击自己的家人,或者面对忍了很久的同事朋友,突然恶语相向。 说气话的那一刻,他们觉得压力一下子释放了,但代价却很大。家人之间可能因此产生隔阂,同事和朋友不会惯着你,觉得你情绪不稳定,直接远离你了。 第二种不该说的话,就是跟自己无关的是非。 有人的地方就有是非,这是避免不…
🎉6👍6😁6❤3🔥3
#柬埔寨资讯:木牌突查疑似网络诈骗窝点 9月9日,柬埔寨柴桢省巴维市执法部门联合行动,对巴维市诺贝尔酒店(Nobel Bavet Hotel)一处疑似网络诈骗窝点进行突查。 行动中,警方在酒店2220号房间发现6名越南籍人员(1女5男),并查获笔记本电脑4台、手机11部及K59型手枪1支。其中一名越南籍男子被指为枪支持有人。 此外,警方还在1105号房间发现疑似DU品及吸DU工具。目前,涉案人员及相关物证已被移交警方相关部门进一步调查处理,2220号房间已被临时封闭。
❤7👍6🎉5🔥4😁2
Showing the 12 most recent of 746 posts we hold for @DNY1978. 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.
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 8 September 2026 — this entry's latest reading, not the date you are reading this.
“柬埔寨缅甸菲律宾缅北华人新闻曝光” (@DNY1978), 98,853 subscribers as measured 8 September 2026. Telegram Register, tgregister.com/channel/DNY1978.
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.