Channel
@dnyxw192
On this record: Topic · Observations · Also posting the same content · Growth · Engagement · What this channel posts · Posts · Citations · Cite this entry
24,782subscribers
-7,813 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 |
| Description | 🌍 东南亚头条 曝光 · 新闻-黑料 🔍 事件新闻爆料： @dnyxw192 🔍 东南亚大事件曝光: @dnyxw191 🔍缅甸『今日头条』： @dnyxw193 🔍越南泰国新闻曝光: @mlxy1218 🔍柬埔寨头条曝光： @hjklnf778 🔍马来西亚新闻曝光: @hongyunlin1 🔍『西港黑料』曝光: @ukevjiv6 🔍缅北大事件曝光： @facaiqq686868 🔍网红 ❤️主播 : @cosfeng3 💁📲商务合作： @wwish996 |
| 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 | 26 September 2026 |
| Measurements held | 34 |
| Confirmed unchanged | 1 time, most recently 26 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 |
|---|---|---|
| 26 Sept 2026, 06:39 | 24,782 | -1,063 |
| 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 | first reading |
609 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 69 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 30 September 2026 |
|---|---|
| Posts held | 609 (7 August 2026 – 30 September 2026) |
| Views total | 137,852 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 30 Sept 2026, 05:49 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 30 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 193 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.
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❗️【越南海防市向中国移交1名命案在逃人员】❗️ 近日，海防市警方经侦查摸排抓获一名在当地藏匿的中国籍在逃人员，并于9月24日办结全部手续，正式将其移交中方执法部门。 涉案人员为李丰（Li Feng），1976年出生，广西东兴市人。 经查，李丰涉嫌故意伤害致人死亡，已被广西东兴市警方依法签发刑事逮捕令，同时被列入国际红色通报名单，认定为高度危险在逃人员。 本次抓捕及跨境移交工作，由越南海防市警方主导执行，全程严格遵照中越双边司法协助协议开展。 🤩🤩🤩🤩 🤩🤩🤩🤩🤩🤩🤩🤩 香港六合彩特码49倍｜真人返水1%｜电子/棋牌/捕鱼返水1.5%｜十三水/德州 无抽佣 🖋广告合作：👤山野藏秋
❗️【群友求助：西港凯蒂国际黑赌场/平哥丧尽天良/出马洗码卡号999-11】❗️ 赌场总经理和平哥出马团队狼狈为奸。总经理答应给钱，最后出尔反尔。西港第一黑赌场/出马公司。 平哥原来带领一群25仔在亚多利出马，后面被曝光多次，亚多利老板把他轰出去了。现在搬到凯蒂继续出马坑害中国人，里面筹码牌手都是亚多利带过去的。牌手会出老千/抽2张牌。被骗过去出马的中国人赢钱退不到钱。输钱被打的半死，实在还不出钱来的就贩卖到缅甸亚太妙瓦底这些大型黑公司上班。每天过着惨无人睹的日子。没有业绩的就会被卖器官心脏。 凯蒂已经被曝光多次了，依然无视柬埔寨法律法规，还在坑害中国人。据说里面现在关押着很多中国人不给吃饭不给睡觉。天天折磨。酒店楼上有很多诈骗公司，他们白天睡觉，晚上开工骗人。有做色料，资金盘。欧美盘。 凯迪出马负责人：平哥。平哥此人最大恶极，专门在凯迪赌场出马坑害中国人，长期混迹在柬埔寨夜场，长期贩卖人口，打骂中国人。此人天天吸DU。…
❗️【中国驻菲律宾使馆提醒来菲中国公民防范被诱骗绑架勒索】❗️ 央视网消息：据中国驻菲律宾使馆消息，近期，菲律宾警方破获多起针对中国公民的绑架勒索案件，成功解救受害者并逮捕犯罪嫌疑人。相关团伙主要针对单独出行的年轻中国公民实施犯罪。嫌犯一般通过网络结识受害者，或冒充其熟人，以旅游、商务等名义邀请其来菲，并主动为其安排机票和住宿。受害者抵菲后，嫌犯接机并将其带至某隐秘地点，随即限制其人身自由，扣留其护照、手机及随身财物，并向家属勒索赎金，部分受害者还面临人口贩卖的风险。 中国驻菲律宾使馆再次郑重提醒来菲或在菲中国公民切实提高防范意识，对类似网络邀约保持高度警惕，不接受陌生人提供的机票、住宿安排，不向通过网络结识人员透露自己的行程及身份信息，避免遭遇绑架勒索，甚至产生更为严重的后果。 如遇紧急情况，请联系： 菲律宾报警急救电话：911 中国驻菲律宾使馆领保协助电话：0063-2-82311033 中国驻宿务总领馆领保协助电话：…
❗️【OB5“Bs小区”，还是昨天那个位置，今天又有大批警察和警车赶到现场】❗️ 估计是来抓打野团队的，附近的兄弟注意！ 🤩🤩🤩🤩 🤩🤩🤩🤩🤩🤩🤩🤩 香港六合彩特码49倍｜真人返水1%｜电子/棋牌/捕鱼返水1.5%｜十三水/德州 无抽佣 🖋广告合作：👤山野藏秋
Showing the 12 most recent of 609 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 26 September 2026 — this entry's latest reading, not the date you are reading this.
“大事件新闻爆料” (@dnyxw192), 24,782 subscribers as measured 26 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.