Telegram RegisterThe public register of Telegram

Channel

东南亚大事件|华人资讯

@DNYsvip888

On this record: Topic · Observations · Also posting the same content · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry

184,788subscribers

+2,921 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 100,000–316,228.

Register entry

Telegram ID-1001660229259
TypeChannel
Username@DNYsvip888
CreatedBetween 1 December 2021 and 31 March 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live12 August 2026
Measurements held8
Confirmed unchanged1 time, most recently 12 August 2026
On Telegramt.me/DNYsvip888

Topic

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 8 August 2026 and assigned it the closest of 31 fixed categories, at 62% 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.

Observations

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.

Content that also appears on other registered channels

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.

Matching posts — open both and compare (6 of the pairs behind the counts below)
Posted firstThenOverlapGap
@DNYsvip888/11438 · this entry7 Aug 2026, 07:38 UTC@tgsfaa/46207 Aug 2026, 07:38 UTC1.00under a minute
@DNYsvip888/11442 · this entry7 Aug 2026, 10:01 UTC@tgsfaa/46247 Aug 2026, 10:01 UTC1.00under a minute
@DNYsvip888/11444 · this entry7 Aug 2026, 11:08 UTC@tgsfaa/46267 Aug 2026, 11:08 UTC1.00under a minute
@DNYsvip888/11447 · this entry7 Aug 2026, 12:55 UTC@tgsfaa/46287 Aug 2026, 12:55 UTC1.00under a minute
@DNYsvip888/11449 · this entry7 Aug 2026, 14:05 UTC@tgsfaa/46327 Aug 2026, 14:15 UTC1.0010 minutes
@DNYsvip888/11452 · this entry7 Aug 2026, 15:37 UTC@tgsfaa/46357 Aug 2026, 15:37 UTC1.00under a minute
Every channel this entry shares post bodies with
ChannelMatching postsText overlapTypical gapPublished first
@tgsfaa19 (8/8 hand-verifiable sample passed)1.00under a minutethis entry (190)

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. None of the 0 matches recorded here fall after that date, so for this entry we cannot say whether any of them carried a credit. The duplication is measured; the absence of attribution is not.

“Published first” means first in this corpus. We hold 22 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.

  • Verbatim republication has three causes and the text separates only two: a clone/mirror, unattributed copy-paste, or BOTH channels copying a common third source that neither attributes. The spread filter (content held by at most 8 channels) reduces the third and does not remove it.
  • 'Earliest' means earliest IN THIS CORPUS. A channel ingested one page deep will look younger than a neighbour ingested in full; corpus_coverage above is there to be checked before the direction is believed.
  • shared_verified_est extrapolates the sampled pass rate over the full narrow match count; sampled/passed are the numbers actually measured.
  • Absence of a forward header is not proof of intent: Telegram lets a channel disable forward attribution, and a credit written in the body is not parsed as attribution here (mention_edge_either_way above is the closest available signal).

Across the whole group of 2, the earliest publisher we hold is @DNYsvip888 — which is this entry. That is a statement about our reading window, not a claim of authorship.

Recorded under the key 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.

Also posting the same content

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.

Growth

181,830184,788183,3097 August 2026 — 181,867 subscribers7 August 2026 — 181,867 subscribers7 August 2026 — 181,830 subscribers8 August 2026 — 182,471 subscribers9 August 2026 — 183,107 subscribers10 August 2026 — 183,636 subscribers11 August 2026 — 184,168 subscribers12 August 2026 — 184,788 subscribers7 August 202612 August 2026
8 measurements spanning 5 days, net +2,921. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between — snapshots are recorded only when a count changes, so gaps mean “no change observed”, never “interpolated”. The vertical axis spans 181,386–185,232 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
12 Aug 2026, 22:13184,788+620
11 Aug 2026, 22:42184,168+532
10 Aug 2026, 19:13183,636+529
9 Aug 2026, 21:11183,107+636
8 Aug 2026, 23:34182,471+641
7 Aug 2026, 23:14181,830-37
7 Aug 2026, 19:15181,867no change
7 Aug 2026, 19:07181,867first reading

Engagement

189 posts held, back to 7 August 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 15 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
4.16%
avg views ÷ 184,788 subscribers
Avg views / post
7,700
189 posts measured
Reaction rate
0.564%
reactions ÷ views · ER floor
Posts in window
189
of 189 held

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.

What these figures were computed from
WindowRolling 30 days · latest post in window 12 August 2026
Posts held189 (7 August 202612 August 2026)
Views total1,454,587
Reactions total8,207
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken12 Aug 2026, 18:01 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.

What this channel posts

Video runtime
1m 50s
Average length
8s

Measured directly from 13 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.

Reaction mix

8,207 reactions across 189 posts, in 15 distinct kinds. The most used accounts for 13.2% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍1,08313.2%
1,03712.6%
🔥90311.0%
🎉88210.7%
❤‍🔥84810.3%
🤩84410.3%
😍82110.0%
🥰82110.0%
💯7839.54%
🙏750.914%
🤔600.731%
👀310.378%
👏140.171%
😁30.037%
20.024%

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 189 of the 189 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 8,207reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 189 most recent posts we hold, published 7 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.

Recent posts

12 Aug 2026, 17:32 UTC≈1,040 views6 reactionsread 12 August 2026
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#马来西亚新闻 【两嫌犯古林推事庭受审后试图逃跑被再捕】🇲🇾🏃 2026年8月12日上午约10时,马来西亚吉打州古林——两名嫌犯在古林推事庭完成案件过堂后,发现正门有警方守候,竟从后门试图逃跑,被威省南部警区警员当场再度逮捕。两人此前因《刑事法典》第324条(蓄意伤人)和第353条(阻碍公务员执行职务)罪名于4月30日获保候审。逃跑视频在社交媒体疯传,法庭一度陷入混乱。 #法庭逃跑 #马来西亚治安

🎉2🔥2👍1🙏1

12 Aug 2026, 17:01 UTC≈2,820 views8 reactionsread 12 August 2026
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🎉3👍31👏1

12 Aug 2026, 16:30 UTC≈2,740 views6 reactionsread 12 August 2026
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🎉2👀1👍1👏1🤔1

12 Aug 2026, 15:59 UTC≈4,190 views6 reactionsread 12 August 2026
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👍31👏1🙏1

12 Aug 2026, 15:27 UTC≈17,400 views49 reactionsread 12 August 2026
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#老挝新闻 【老挝毒品犯罪激增:赛松本省近半案件涉毒】🇱🇦💊 2026年8月12日,万象——老挝公安部通报,赛松本省今年上半年54起刑事案件中,24起(约44%)为涉毒案件,全国上半年共破获1786起毒品案、逮捕4025名嫌犯(含93名外籍人士),总理宋赛·西潘敦在上月国会特别会议上确认缉毒仍是国家议程。公安部部长万通·孔马尼8月7日赴赛松本督导,要求严打毒品、走私、人口贩运和网络犯罪。 #老挝缉毒 #毒品犯罪

🔥8👍76🎉6❤‍🔥5💯5🤩5🥰3

12 Aug 2026, 14:55 UTC≈22,200 views89 reactionsread 12 August 2026
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❤‍🔥13😍12🎉10🔥10👍9💯9🤩9🥰9

12 Aug 2026, 14:04 UTC≈12,700 views50 reactionsread 12 August 2026
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8👍8🎉7🔥7🥰5😍5❤‍🔥4💯3

12 Aug 2026, 14:03 UTC≈6,500 views54 reactionsread 12 August 2026
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12👍9💯8🎉7🔥5❤‍🔥4😍4🤩2

12 Aug 2026, 13:48 UTC≈12,600 views57 reactionsread 12 August 2026
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🔥11🤩9🎉7❤‍🔥6👍6🥰54💯4

12 Aug 2026, 13:32 UTC≈1,860 views55 reactionsread 12 August 2026
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🥰98👍7🔥7❤‍🔥6🎉4💯4🤩4

12 Aug 2026, 13:32 UTC≈20,600 views41 reactionsread 12 August 2026
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#老挝新闻 【老挝🇱🇦🛒】万象严查市场缺斤短两,数十家商户计量器具被查封 2026年8月12日,老挝万象市市场监管部门开展突击检查行动。执法人员走访城区农贸市场,查获27台改装作弊秤具,多家蔬果、肉类商户因缺斤短两被处罚。监管部门表示将常态化巡查,设立消费者投诉热线,规范本地农贸交易秩序。 #老挝市场整治 #消费者权益保障

❤‍🔥6🤩6😍6🔥5🥰54🎉4👍2

12 Aug 2026, 12:59 UTC≈3,540 views55 reactionsread 12 August 2026
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#缅甸新闻 【缅甸🇲🇲🏥】仰光公立医院增设传染病门诊,加强雨季流行病防控 2026年8月12日,缅甸仰光卫生局启动雨季防疫专项工作。随着持续降雨,登革热、疟疾病例持续上升,市内8家公立综合性医院紧急增设传染病专科门诊,储备抗病毒药品,同时组织医护人员深入社区开展防疫科普,免费发放驱蚊物资。 #缅甸公共卫生 #雨季流行病防控

👍9🔥98🤩7🥰7💯6🎉4❤‍🔥3

Showing the 12 most recent of 189 posts we hold for @DNYsvip888. 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.

Cite this entry

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.

“东南亚大事件|华人资讯” (@DNYsvip888), 184,788 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/DNYsvip888.

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.