Channel
@DNYXW008
On this record: Topic · Observations · Also posting the same content · Growth · Engagement · What this channel posts · Reactions · Posts · Telegram's recommendations · Cite this entry
144,743subscribers
-6,937 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 100,000–316,228.
| Telegram ID | -1001559444932 |
|---|---|
| Type | Channel |
| Username | @DNYXW008 |
| Created | Between 1 August 2021 and 31 January 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 12 August 2026 |
| Measurements held | 7 |
| Confirmed unchanged | 1 time, most recently 12 August 2026 |
| On Telegram | t.me/DNYXW008 |
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 9 August 2026 and assigned it the closest of 31 fixed categories, at 88% 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 4 other registered channels. They sit inside a group of 8 channels that share the same post bodies with each other. 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 |
|---|---|---|---|
| @bxc888/498117 Aug 2026, 08:08 UTC | @DNYXW008/64981 · this entry7 Aug 2026, 08:08 UTC | 1.00 | under a minute |
| @bxc888/498167 Aug 2026, 08:09 UTC | @DNYXW008/64985 · this entry7 Aug 2026, 08:09 UTC | 1.00 | under a minute |
| @bxc888/498187 Aug 2026, 08:09 UTC | @DNYXW008/64986 · this entry7 Aug 2026, 08:09 UTC | 1.00 | under a minute |
| @bxc888/498207 Aug 2026, 08:10 UTC | @DNYXW008/64987 · this entry7 Aug 2026, 08:10 UTC | 1.00 | under a minute |
| @bxc888/498267 Aug 2026, 08:10 UTC | @DNYXW008/64991 · this entry7 Aug 2026, 08:10 UTC | 1.00 | under a minute |
| @bxc888/498327 Aug 2026, 08:15 UTC | @DNYXW008/64994 · this entry7 Aug 2026, 08:15 UTC | 1.00 | under a minute |
| Channel | Matching posts | Text overlap | Typical gap | Published first |
|---|---|---|---|---|
| @bxc888 | 13 (8/8 hand-verifiable sample passed) | 1.00 | under a minute | this entry (13–0) |
| @gtkx1 | 8 (8/8 hand-verifiable sample passed) | 1.00 | 3.4 hours | @gtkx1 (8–0) |
| @haixiashibao1 | 5 (5/5 hand-verifiable sample passed) | 1.00 | 1.9 hours | @haixiashibao1 (5–0) |
| @hxsbl | 5 (5/5 hand-verifiable sample passed) | 1.00 | 1.9 hours | @hxsbl (5–0) |
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. 18 of the 18 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 25 comparable posts for this entry, running 6 August 2026 to 7 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 8, the earliest publisher we hold is @gtkx1. That is a statement about our reading window, not a claim of authorship.
Recorded under the keys clone_copy · clone_source, 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 7 other registered channels, 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 |
|---|---|---|
| 12 Aug 2026, 22:23 | 144,743 | -701 |
| 11 Aug 2026, 23:57 | 145,444 | -1,562 |
| 11 Aug 2026, 02:31 | 147,006 | -1,052 |
| 10 Aug 2026, 02:51 | 148,058 | -1,622 |
| 9 Aug 2026, 02:51 | 149,680 | -1,078 |
| 8 Aug 2026, 00:23 | 150,758 | -922 |
| 7 Aug 2026, 04:45 | 151,680 | first reading |
75 posts held, back to 6 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 17 pagesof 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 38 of 75 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 12 August 2026 |
|---|---|
| Posts held | 75 (6 August 2026 – 12 August 2026) |
| Views total | 53,160 |
| Reactions total | 46 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 12 Aug 2026, 18:13 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 6 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.
46 reactions across 38 posts, in 9 distinct kinds. The most used accounts for 17.4% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 🎉 | 8 | 17.4% | |
| ❤ | 7 | 15.2% | |
| 😁 | 7 | 15.2% | |
| 🥰 | 7 | 15.2% | |
| 👏 | 5 | 10.9% | |
| 🤩 | 4 | 8.70% | |
| 👍 | 3 | 6.52% | |
| 🔥 | 3 | 6.52% | |
| ⚡ | 2 | 4.35% |
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 38 of the 75 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 46reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 75 most recent posts we hold, published 6 August 2026 to 12 August 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.
#缅甸资讯：木姐查获疑似网络诈骗窝点：60名中国籍男子被捕，缴获大量设备 据当地消息，8月11日上午10时35分左右，缅甸掸邦木姐地区开展执法行动，在木姐朵越沙滩路口正对面的第二条道路附近一处民宅内，发现并查处一处疑似从事网络诈骗活动的窝点。行动中，执法人员现场抓获60名涉嫌参与网络诈骗的中国籍男子，并查扣大量涉案电子设备。 据悉，现场共缴获手机85部、一体机电脑11台、StarLink设备2套、移动电源2台、笔记本电脑4台、UPS电源1台、摩托车2辆以及其他相关设备。目前，涉案人员已被有关部门控制，案件正在进一步调查处理中。警方将对涉案人员身份、设备数据以及是否涉及跨境网络诈骗活动展开核查。
🎉1
#柬埔寨 #菲律宾 #电诈头目 曝光两名柬埔寨电诈头目，中国籍福建泉州大盘总。 苏文水（外号叶峰），福建省泉州人。陈建波（外号小福），也是福建省泉州人。两人是亲戚关系。 早期在柬埔寨和菲律宾开设多个杀猪盘和赌博网站，盘口名称有美高梅、美狮、贵宾会等等。后来到了柬埔寨，开酒吧KTV、餐厅，利用酒吧KTV老板身份做掩护。戈公镇上最大的酒吧KTV就是他们俩开的，人尽皆知。 此后两人就长期盘踞在柬埔寨戈公省白宫度假村老三楼，继续搞诈骗。高峰期盘口有数百名员工，包括中国人、缅甸人、老挝人、越南人、马来西亚人、泰国人。公司属于长期封闭式管理，除了跟他们关系好的，其他人都不能外出。 公司长期压榨、辱骂、体罚、殴打员工，恶意克扣工资，各种找理由罚款，恶意开除还不结工资。还有人口买卖、拉赔付、扣押护照逼家里人打款赔付等等恶心事。两人阴险狡诈，手段狠辣，经常骚扰、威胁多名女员工陪他们出去吃饭喝酒过夜。 2026年2月份公司搬到塞尔维亚、…
🔥1
#网友反馈：金三角东鹏特外，天空1号旁边修理厂，以及云南超市亮亮酒店，道菜市场这边都收到通知。 要地毯式检查商店，民宿，酒店等等，要仔细严排检查，外籍人员和狗推，在外捞金的，兄弟们，注意安全。
❤1🎉1😁1
#马来西亚新闻 新加坡男子入境马来西亚遭绑架，绑匪索要百万新元并发送施暴视频，大马警方击毙两名绑匪成功解救人质 2026年8月11日消息，一起牵动新马两地的跨国绑架案件迎来重大突破。一名72岁新加坡男子入境马来西亚后遭到犯罪团伙挟持，绑匪向受害人家属索要100万新元赎金，同时传出受害者蒙眼被捆绑、遭受虐待的视频施压。 马来西亚警方开展突击营救行动，当场击毙两名绑匪，顺利将人质救出。借着本次案件， 警方顺线挖出一个专门诱骗外籍人士赴马，再实施绑架勒索的跨国犯罪团伙。
❤1👏1🥰1
#泰国新闻 暖武里府遇害行政主席遗体由家属认领，长女表态静待警方查清全部真相 以此表达哀悼与敬意。后续遗体将移送萨潘松寺办理完整丧葬法会。死者长女对外发声，表示事实真相只有一个，一切交由警方开展调查。
🔥1
#泰国新闻 泰国开展全国清剿行动，锁定柬埔寨赌场大亨Kok An，跨境洗钱网络浮出水面 在柬埔寨境内运营电信诈骗呼叫中心。泰国反洗钱办公室联合总检察长办公室介入该案，推进跨国追诉相关工作。
🎉2🤩1
#泰国新闻 普吉岛抓获印尼籍诈骗头目，浪漫叠加投资双重骗局，涉案金额达千万美元 泰国方面现已对该男子实施拘留，正式启动引渡流程，计划将嫌疑人移交美国司法机构接受审判。
😁1
#马来西亚新闻 疑陷入网络骗局背负25万令吉债务，32岁华裔会计师公寓坠楼身亡 事发之后，女友陆续收到高利贷的催债电话与讯息，方才知晓死者欠下25万令吉巨额债务。
⚡1
#泰国新闻 前暖武里议员涉嫌枪杀通猜中校，四项罪名被披露，故意杀人罪最高可判处死刑 延普拉塞特中校。检方对其提起四项重大刑事指控，其中故意杀人罪名最高量刑为死刑。
🤩1
#泰国新闻 19岁俄罗斯少女求职被骗误入缅甸诈骗园区，遭殴打后逃至清莱求助希望回国 很容易误入跨境诈骗窝点。外出求职应当仔细分辨招聘信息，不要轻信海外高薪许诺，保护自身人身安全。
柬埔寨移民总局10天内遣返788名非法外籍人员 8月1日至10日期间，柬埔寨当局依法将来自21个国家和地区的788名（女92人）非法外籍人员驱逐出境。 涉案人员包含韩国、中国（含台湾）、泰国、越南等国籍。其中315名中国籍及14名泰国籍电诈涉案人员，已分别通过德崇国际机场、暹粒吴哥国际机场及赞扬国际口岸遣返。其余人员因非法入境、逾期拘留、涉毒等罪行被遣返。 当局强调，柬埔寨绝不容许犯罪分子利用其领土从事非法活动。
👏1😁1
#马来西亚新闻 怡保华裔青年疑心脏病发在家猝死，数日后因遗体散发恶臭被邻居报警发现悲剧 进屋后发现男子倒卧在地，研判已经离世数日。死者遗体已移送医院太平间，将通过解剖进一步核实确切死因。
🥰1
Showing the 12 most recent of 75 posts we hold for @DNYXW008. 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.
The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.
This channel appears in 21 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
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 12 August 2026 — this entry's latest reading, not the date you are reading this.
“东南亚 曝光 悬赏 新闻” (@DNYXW008), 144,743 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/DNYXW008.
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.