Channel
@dnyxw192
On this record: Topic · Observations · Also posting the same content · Growth · Engagement · What this channel posts · Posts · Citations · Cite this entry
25,845subscribers
-6,750 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
| Telegram ID | -1003554978338 |
|---|---|
| Type | Channel |
| Username | @dnyxw192 |
| Created | Between 1 December 2025 and 31 May 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 19 September 2026 |
| Measurements held | 33 |
| Confirmed unchanged | 1 time, most recently 19 September 2026 |
| On Telegram | t.me/dnyxw192 |
International 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 10 August 2026 and assigned it the closest of 31 fixed categories, at 65% 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.
These are measurements, not verdicts. Each one below states something we counted, alongside the evidence it was counted from, so you can check it rather than take it. None of them is graded: every observation this register holds is recorded at severity 0, because the precision of the detectors behind them has not been measured yet, and a rating we cannot support is worse than none. Read each as a fact about the data, not as a judgement about the channel. How we measure.
Posts published here appear word for word on 1 other registered channel. The matching is on the text itself, not on Telegram’s forward marker, so it finds a copy whether or not it was labelled as one.
| Posted first | Then | Overlap | Gap |
|---|---|---|---|
| @dnyxw192/3991 · this entry7 Aug 2026, 07:15 UTC | @dnyxw193/62907 Aug 2026, 07:16 UTC | 1.00 | under a minute |
| @dnyxw193/62987 Aug 2026, 08:43 UTC | @dnyxw192/3999 · this entry7 Aug 2026, 08:43 UTC | 1.00 | under a minute |
| @dnyxw193/63017 Aug 2026, 10:13 UTC | @dnyxw192/4002 · this entry7 Aug 2026, 10:13 UTC | 1.00 | under a minute |
| @dnyxw193/63037 Aug 2026, 10:48 UTC | @dnyxw192/4004 · this entry7 Aug 2026, 10:49 UTC | 1.00 | under a minute |
| @dnyxw193/63087 Aug 2026, 12:12 UTC | @dnyxw192/4009 · this entry7 Aug 2026, 12:12 UTC | 1.00 | under a minute |
| @dnyxw193/63097 Aug 2026, 12:32 UTC | @dnyxw192/4010 · this entry7 Aug 2026, 12:32 UTC | 1.00 | under a minute |
| Channel | Matching posts | Text overlap | Typical gap | Published first |
|---|---|---|---|---|
| @dnyxw193 | 10 (7/8 hand-verifiable sample passed) | 1.00 | under a minute | @dnyxw193 (6–4) |
Text overlap is the Jaccard coefficient over the set of distinct three-word phrases in the two bodies: 1.00 is identical wording, and the threshold for counting a pair at all is 0.70. Candidates are generated by simhash LSH (4 x 16-bit bands, exact Hamming <= 3) verified against the bodies with Jaccard over the SET of distinct 3-word shingles. Published first counts which side of each matching pair carries the earlier timestamp — in this corpus, which is the limitation directly below.
What this cannot establish
MEASURED, DOMINANT ERROR SOURCE: a post ingested before 2026-08-06 may have carried a forward header that was not recorded. A 45-pair hand-check against live t.me pages found 14 (31%) where the live page shows a forward header naming the other channel and the database has none, plus 4 more (9%) naming a third party. The text match itself was wrong 0 times out of 45. Read attribution_capture.items_in_trusted_window before treating the unattributed count as a claim.
Telegram lets a channel forward a post with a header naming the source, and we only began reliably recording that header on 2026-08-06. 6 of the 6 matches recorded here fall after that date and carried no header when we read them. The rest predate reliable capture and are not evidence either way.
“Published first” means first in this corpus. We hold 15 comparable posts for this entry, running 7 August 2026 to 8 August 2026. A channel we have read one page deep will look younger than a neighbour we have read in full, and the order would flip with no change in the underlying facts.
The detector’s own notes on this observation, as it recorded them. Names in this_style are fields of the underlying evidence record, which the plain-English paragraphs above read out for this entry.
Across the whole group of 2, the earliest publisher we hold is @dnyxw192 — which is this entry. That is a statement about our reading window, not a claim of authorship.
Recorded under the key clone_mutual, last confirmed 8 August 2026. An observation that a later pass no longer finds is cleared, and a cleared observation is removed from this page rather than being shown struck through — we do not keep publishing a claim we have withdrawn. Dispute an observation.
This channel’s posts match, word for word or near enough, posts on 1 other registered channel, found by comparing text fingerprints across every channel on the register. That matching has been checked by hand against the live Telegram pages and found reliable — 0 wrong of 45 pairs re-read.
Which channel, if either, published first is deliberately not shown. The same hand-check found that reading wrong 18 of 45 times — 60%, no better than a coin flip — because it depends on how deep our own crawl happened to reach into each channel’s history, not on when the content was actually first posted. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Word-for-word matching has several ordinary explanations besides copying — a channel mirroring itself, an unattributed repost, or two channels independently repeating the same wire story — and this measurement cannot tell those apart. How this is measured.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 19 Sept 2026, 12:39 | 25,845 | -692 |
| 17 Sept 2026, 02:18 | 26,537 | -426 |
| 15 Sept 2026, 02:01 | 26,963 | -365 |
| 13 Sept 2026, 10:01 | 27,328 | -502 |
| 11 Sept 2026, 17:02 | 27,830 | -563 |
| 9 Sept 2026, 05:58 | 28,393 | -952 |
| 5 Sept 2026, 23:57 | 29,345 | -808 |
| 3 Sept 2026, 20:01 | 30,153 | -469 |
| 2 Sept 2026, 09:04 | 30,622 | -176 |
| 1 Sept 2026, 07:44 | 30,798 | -315 |
| 31 Aug 2026, 06:56 | 31,113 | -319 |
| 30 Aug 2026, 06:08 | 31,432 | -170 |
| 29 Aug 2026, 06:13 | 31,602 | -47 |
| 28 Aug 2026, 04:12 | 31,649 | -24 |
| 27 Aug 2026, 03:33 | 31,673 | -22 |
| 26 Aug 2026, 02:27 | 31,695 | -14 |
| 25 Aug 2026, 04:25 | 31,709 | -25 |
| 24 Aug 2026, 00:36 | 31,734 | -35 |
| 22 Aug 2026, 08:18 | 31,769 | -26 |
| 21 Aug 2026, 01:13 | 31,795 | first reading |
529 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 60 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.
| Window | Rolling 30 days · latest post in window 7 September 2026 |
|---|---|
| Posts held | 529 (7 August 2026 – 7 September 2026) |
| Views total | 204,785 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 7 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.
Measured directly from 168 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.
❗️【春武里移民局联合就业局突袭语言学校 查获2名中国女子非法“种草”招商办签】❗️ 泰国春武里讯 — 2026年9月5日，泰国春武里府移民局联合府就业局及国内安全行动指挥部（ISOC）展开专项联合执法行动，突袭检查了位于邦拉蒙县纳克鲁阿区的一家语言学校，当场抓获2名涉嫌非法打工的中国籍女子。二人涉嫌通过中国热门社交软件拍摄视频、制作营销内容，为学校宣传并吸引中国籍人员办理学生签证。 据警方透露，行动前执法部门收到举报，称该语言学校内部存在外籍人员无证非法工作、暗中为中国籍客户违规办理学生签证等行为。执法人员随即依法进入学校进行深入检查，并当场控制了正在进行线上推广及运营工作的两名中国籍女子： Jiang某（25岁）：虽然持有中文教师工作许可证，但其证件上登记的雇主名称及工作地点与实际不符，涉嫌跨单位/跨地点非法任职。 Li某（28岁）：现场无法出示任何有效的工作许可证（Work Permit）。 审讯中，两人对其违法…
大事件新闻爆料 pinned a video
💩#频道互推 🔗 📢 新闻头条事件 📢 今日曝光 📢 内涵段子 📢 求职甩人招聘 📢 亚太新闻 ------------------------------ 📢 视野全网曝光台 📢 迪拜大事件曝光 📢 东南亚大事件 📢 菲律宾大事件 📢 柬埔寨大事件 📢 华人大事件 📢 安危大事件 ------------------------------ 📢 每の吃瓜搞笑视频 📢 东南亚新闻曝光 📢 中文头条新闻曝光 📢 91网红主播鉴黄 📢 麻豆国产电影 📢 动漫里番韩国女优 📢 91吃瓜反差新闻 📢 91黑料吃瓜 ------------------------------ 📢 东南亚新闻网 📢 柬埔寨新闻大事件 📢 菲律宾大事件 📢 [每日快报]华人新闻 📢 迪拜新闻 📢 骗子曝光 📢 亚太缅甸新闻 📢 泰国新闻 ------------------------------ 📢 吃瓜搞笑猎奇新闻 📢 西港日记📔柬埔寨新闻中心 📢 素…
❗️【一中国男子利用签证续签搞敲诈勒索被抓】❗️ 菲律宾国家调查局（NBI）昨天通报，国调局探员日前在帕赛市设伏，当场逮捕一名中国籍男子。 该嫌疑人假称在移民局拥有“人脉”，骗取多名外籍人士护照后，以每本15万比索索要“赎金”，否则拒不归还。 警方在诱捕行动中追回22本中、越等国受害者护照。国调局局长马蒂巴格表示，将以抢劫敲诈、诈骗、严重胁迫及妨碍司法等多项罪名向法院提控该嫌犯，并提醒外籍人士切勿轻信此类“关系”中介。 🖋广告合作：👤山野藏秋
❗️【AI变声 + 恶毒虐待！台警破获史上最变态“爱情剥皮”黑产：业绩差罚“互舔肛门精液漱口”，5年狂敛9亿虐骗2万人！】❗️ 台北讯 — 电影都不敢这么演！台北地检署日前侦结起诉一起轰动全台的“AI变声剥皮爱情诈骗案”。警方一举擒获以主谋黄建豪、许湘綺夫妻为首的57名诈骗集团恶徒。该团伙在短短不到5年时间里，疯狂收割逾2万名单身受害人，卷走高达9亿新台币（约合2.2亿港币）的血汗钱。更令人发指的是，该集团内部实施血腥极权的“变态魔鬼管理”，对业绩不达标的成员进行电击、强迫互舔下体甚至以精液漱口的极度虐待！ 魔鬼主谋落网：主谋黄建豪被检方重磅求刑25年以上监禁，其妻许湘綺同样被求刑18年重刑。 AI科技沦为屠刀：黑产工程师专门研发“实时AI变声软件”（实时学习并复制女公关声纹），瞬间克隆性感女声，让无数无辜单身男惨沦“韭菜”。 地狱级惩罚机制：每月绩效考核犹如酷刑现场，业绩差者不仅会被电蚊拍狂电耳朵、舌头，还要被迫互舔性…
❗️【4名中国公民遭绑架勒索 警方突袭奶牛场救人抓6名绑匪】❗️ 9月5日，巴基斯坦媒体披露，4名中国公民在伊斯兰堡遭绑架勒索后，被转移到班吉亚尔地区一座奶牛场关押 警方突袭营救，4人全部获救，6名绑匪被抓，团伙头目逃脱。 警方此前在调查另一宗案件时抓到一名嫌疑人，顺藤摸瓜查出这起绑架案。4名中国公民是在伊斯兰堡F-10/4区被绑走，绑匪随后将他们转移到奶牛场，并与外界谈判赎金。 警方包围奶牛场后，绑匪开枪反抗，双方发生交火。两名看守人质的绑匪先被控制，4名中国公民随后从房间内获救。警方继续搜捕，又抓获4名绑匪并缴获武器 此次行动共抓获6人，团伙头目趁乱逃走。 🖋广告合作：👤山野藏秋
❗️【3名中国人卖出半公斤冰毒，被抓两年后判终身监禁】❗️ 菲律宾巴塘牙省丹那万市地区审判法院8月17日作出判决，3名中国公民因贩卖502.6克冰毒，被判终身监禁，每人另罚款50万菲律宾比索。菲律宾缉毒署9月4日公开了这起案件的最新判决结果。 3人为阿明（又名“科伊”“夏廷明”）、严兴雪和柯晓亚。涉案冰毒估值约341.768万菲律宾比索。 案件发生在2024年5月2日。3人在巴塘牙省马尔瓦尔镇进行毒品交易后驾车逃跑，并与追捕人员发生交火。执法人员追捕近两小时，最终在南他加禄高速公路南行车道将3人抓获。 柯晓亚还因使用非法毒品被判有罪，并被要求接受6个月戒毒康复治疗。 🖋广告合作：👤山野藏秋
❗️【两名中国人带16公斤金条准备经新加坡转香港，在机场被抓】❗️ 9月5日，印度尼西亚北苏拉威西警方公布一起黄金走私案。两名中国公民携带16根金条准备从万鸦老出境，经新加坡转往香港，结果在萨姆·拉图兰吉国际机场被抓。 案件发生在9月4日。警方提前接到线索并在机场布控，两人的两只行李箱经过X光检查时被发现藏有黄金。16根金条总重约16公斤。 两名中国人代号XQI和XQU。调查发现，这批黄金没有合法手续，并被怀疑来自非法采矿。两人交代，他们受一名代号“H”的人员指使，负责将黄金带出印度尼西亚。 警方同时扣押护照、身份证件、万鸦老至新加坡及新加坡至香港的登机牌、5部手机、两只行李箱和500万印尼盾现金。 两人目前已被列为嫌疑人，警方正在继续追查黄金来源、幕后人员及其他协助者。 🖋广告合作：👤山野藏秋
❗️【网友爆料：包装自己是活菩萨，其实是活阎王；表面做善事，实际是恶魔】❗️ 相信很多人刷到很多抖音和快手在缅甸，当阳、万海、木姐、三佛塔等地的救援团队，发布在当地很有实力，能在大多数或者任何园区救人出来，送回国。实际这是新型诈骗，保护伞是他们，正义团队也是他们。 只有一部分那种被榨取干净、做不出业绩，或者被折磨成神经病的人，被公司交给武装人员，然后救援团队拍照宣传，找家人。他们拍照发抖音、快手等社交软件，联系上家人，赎金少则十五万，多则四五十万，才放人回国。披着救援的名义敲诈。 如果接到没价值的“猪仔”，一个多月都联系不上家人，也拿不出钱，会买衣服、理发、包装，教“猪仔”打字、拍自愿视频，让“猪仔”在赌场或者有点实力的当兵人手里借高利贷，把“猪仔”进行二次以上转卖到园区公司。 他们有专用的买卖人头进行交流的群，接单送“猪仔”去出钱买人的公司，支持强押到公司。实际他们就是蛇鼠一窝，背后的恶魔，联合起来披着合法的名义进行诈…
❗️【群友吐槽：刚换了个新公司，之前也换过好几个公司，但没有一个公司像现在这个公司一样全员摆烂、不务正业】❗️ 想着换到新公司，别的不说，可以拿点底薪过日子。可是这群傻逼一到上班时间就聊操了几个妹子、又钓到几个妹子，工作内容是闭口不谈。一个个穷得泡面都吃不起了，还不忘到处聊骚。我一个女的在他们中间都听不下去了，脸皮和钢板一样厚，有女孩子还聊7️⃣聊8️⃣的，我听得烦死了。 还以为自己很酷，但是对于女孩子来说，这种人就是傻逼、人渣、垃圾。班不好好上，一聊到妹子，我操他妈的，一个比一个能说。这么多傻逼没业绩也不奇怪了。 在东南亚，又是这种随时可能回国踩缝纫机的日子，不抓紧机会好好工作赚钱回家享福，就知道一门心思扑在逼上。有这群傻逼在，公司早晚得倒闭。 🖋广告合作：👤山野藏秋
❗️【低价代充电费背后竟是洗钱链 北京警方抓获11人涉案上千万元】❗️ 近日 北京顺义警方破获一起利用低价代充电费洗白电诈赃款案件，抓获11名犯罪嫌疑人，涉案金额上千万元。 今年8月，一笔电诈赃款流入顺义区一名居民的电费账户。该居民此前在网上找人代充电费，按折扣价付款，几天后电费到账。警方顺着资金流锁定代充人员周某，并牵出背后的洗钱团伙。 这个团伙以约92折的价格吸引用户代充电费。用户把钱转给代充人员后，资金经过多层账户流转，最后进入团伙头目廖某账户；另一边，境外诈骗人员直接用电诈赃款替用户缴纳电费。 廖某再将收来的资金购买虚拟币并转往境外，完成资金洗白。北京顺义警方随后在多地展开抓捕，廖某及10名下线人员全部落网。 11名嫌疑人已被依法刑事拘留，涉案资金被依法收缴。 🖋广告合作：👤山野藏秋
❗️【新加坡警方发出警告：网络敲诈骗局增加，受害者损失至少13.4万新元】❗️ 与刚在网上认识的人进行一次私密视频通话，可能最终演变成一场代价高昂的噩梦。 新加坡警方近日警告，涉及私密照片和色情视频通话的网络敲诈诈骗案件正在增加。 自2026年8月以来，警方至少接获52起相关报案，受害者累计损失至少13.4万新元。 这类诈骗通常始于交友应用或社交媒体。 诈骗分子与受害者取得联系后，会将聊天转移到即时通讯应用，并诱骗受害者进行色情视频通话，或发送私密照片。 受害者往往并不知道，这些视频通话可能已被对方秘密录制，而发送的照片也可能被诈骗分子保存下来。 随后，诈骗分子开始进行威胁：如果受害者不支付钱款，他们就会把相关视频或照片发布到网上，或者直接发送给受害者的家人、朋友以及社交媒体联系人。 更糟糕的是，即使受害者支付了赎金，也未必能够摆脱纠缠。警方表示，诈骗分子经常会在受害者转账后继续进行勒索，并提出新的付款要求。 …
Showing the 12 most recent of 529 posts we hold for @dnyxw192. 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 50 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. The 24 listed below are the most frequent namers; the rest are counted above but not each listed.
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 19 September 2026 — this entry's latest reading, not the date you are reading this.
“大事件新闻爆料” (@dnyxw192), 25,845 subscribers as measured 19 September 2026. Telegram Register, tgregister.com/channel/dnyxw192.
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.