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Channel

凤凰新闻东南亚联播

@dnylb

On this record: Topic · Observations · Channels linked by matching posts · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry

19,805subscribers

-42,229 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1002685888089
TypeChannel
Username@dnylb
Description#东南亚 #柬埔寨 #菲律宾 #缅甸 #泰国 东南亚最知名【凤凰新闻】 每日最新生活资讯、狗推日记、行业新闻、吃瓜曝光、币圈资讯、突发事件、让您看尽东南亚大小事。 This channel strictly abides by the relevant protocol guidelines of the Telegram community. False rumors and articles related to 投稿机器人: @yt123
CreatedBetween 1 March 2025 and 31 July 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live10 November 2026
Measurements held63
Confirmed unchanged1 time, most recently 10 November 2026
On Telegramt.me/dnylb

Topic

International news — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 9 September 2026 and assigned it the closest of 31 fixed categories, at 48% 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 the other topics.

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 in near-verbatim form on 8 other registered channels. This entry also sits inside a group of 8 channels linked by matching posts, directly or through other channels in the group; two members of the group may share no posts 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.

Matching posts — open both and compare (6 of the pairs behind the counts below)
Posted firstThenOverlapGap
@dnylb/26391 · this entry27 Aug 2026, 14:10 UTC@yatai985/2599927 Aug 2026, 14:11 UTC1.00under a minute
@dnylb/26432 · this entry28 Aug 2026, 10:32 UTC@yatai985/2604128 Aug 2026, 10:32 UTC1.00under a minute
@yatai985/2604428 Aug 2026, 11:27 UTC@dnylb/26435 · this entry28 Aug 2026, 11:27 UTC1.00under a minute
@dnylb/26437 · this entry28 Aug 2026, 11:49 UTC@yatai985/2604628 Aug 2026, 11:51 UTC1.0072 seconds
@dnylb/26463 · this entry29 Aug 2026, 03:18 UTC@yatai985/2606529 Aug 2026, 03:19 UTC1.00under a minute
@yatai985/2606929 Aug 2026, 04:55 UTC@dnylb/26471 · this entry29 Aug 2026, 05:00 UTC1.004 minutes
Channels this entry shares post bodies with, where at least one matching post pair has no forward credit between the two channels, or to a common source, recorded in our data
ChannelMatching postsText overlapTypical gapPublished first
@yatai98532 (7/8 hand-verifiable sample passed)1.00under a minutethis entry (20–12)
@djs12324 (8/8 hand-verifiable sample passed)1.0024 hours@djs123 (17–7)
@ct66624 (8/8 hand-verifiable sample passed)1.0024 hours@ct666 (18–6)
@sililanka18824 (8/8 hand-verifiable sample passed)1.0025 hours@sililanka188 (13–11)
@chiguagf23 (8/8 hand-verifiable sample passed)1.003 days@chiguagf (16–7)
@sucai7523 (8/8 hand-verifiable sample passed)1.003 days@sucai75 (12–11)
@sucai8022 (8/8 hand-verifiable sample passed)1.003 days@sucai80 (12–10)
@dsjnb11 (8/8 hand-verifiable sample passed)1.003 daysthis entry (6–5)

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. 105 of the 105 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 1,166 comparable posts for this entry, running 7 August 2026 to 10 November 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).

Of the group of 8 channels, the one whose matching posts we hold earliest is @dnylb — which is this entry. That is a statement about our reading window, not a claim of authorship.

Recorded under the keys clone_copy · clone_mutual, last confirmed 11 November 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.

Channels linked by matching posts

This channel is in a group of 8 registered channels linked by matching posts, directly or through other channels in the group. This channel may share no posts with some of the channels listed below, and listed channels may share none with each other. Links are found by comparing text fingerprints across every channel on the register.

Which channel, if either, published first is deliberately not shown in this list. “First” could only mean first in our own crawl, which depends on how deep we happened to reach into each channel’s history, not on when the content was actually first posted. Our one hand-check read 45 of the highest-confidence flagged pairs against the live Telegram pages. In 18 of them the live page showed a “Forwarded from” credit that our database had no record of, so reading that pair as an unattributed copy was wrong; the check did not measure who published first. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Near-verbatim 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

19,80562,03440,919.57 August 202610 November 2026
63 measurements spanning 95 days, net -42,229. 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 13,471–68,368 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 63
Measured (UTC)SubscribersChange
10 Nov 2026, 12:1619,805-65
8 Nov 2026, 21:0719,870-92
7 Nov 2026, 17:0619,962-51
6 Nov 2026, 15:1820,013-37
5 Nov 2026, 13:0120,050-36
4 Nov 2026, 10:5620,086-65
3 Nov 2026, 09:2920,151-105
2 Nov 2026, 10:4720,256-41
1 Nov 2026, 11:0620,297-55
31 Oct 2026, 12:0620,352-34
30 Oct 2026, 14:2720,386-98
29 Oct 2026, 14:0020,484-47
28 Oct 2026, 15:1020,531-74
27 Oct 2026, 12:4020,605-22
26 Oct 2026, 16:0120,627-52
25 Oct 2026, 19:1820,679-38
24 Oct 2026, 20:4620,717-145
23 Oct 2026, 17:4420,862-44
22 Oct 2026, 18:5620,906-73
21 Oct 2026, 14:3420,979first reading

Engagement

1,323 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 123 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
3.62%
avg views ÷ 19,805 subscribers
Avg views / post
716
165 posts measured
Reaction rate
—
this channel exposes no reaction counts
Posts in window
165
of 1,323 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 10 November 2026
Posts held1,323 (7 August 2026 – 10 November 2026)
Views total118,165
Reactions total—
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken11 Nov 2026, 03:41 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

Photos
≈23,300
Videos
≈6,030
Links
≈16,100

Lifetime counters from Telegram’s own channel header, read 11 November 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.

Video runtime
7h 46m
Average length
59s

Measured directly from 475 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

56 reactions across 51 posts, in 8 distinct kinds. The most used accounts for 26.8% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🥰1526.8%
😁916.1%
👏814.3%
👍712.5%
🎉610.7%
🔥610.7%
⚡47.14%
🤩11.79%

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 51 of the 1,000 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 56 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 1,000 most recent posts we hold (the sample is capped at 1,000), published 21 August 2026 to 10 November 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

Telegram’s own ‘edited’ marker: 0 of 165 posts held from the last 30 days (0%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).

10 Nov 2026, 15:40 UTC≈1,090 viewsread 11 November 2026
Video

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10 Nov 2026, 15:15 UTC809 viewsread 11 November 2026

🔔 订阅亚太联盟曝光频道 ↓ 🔗 t.me/+fng825vGFvdkYjgx ☎️ 投稿澄清爆料 : @yt123

10 Nov 2026, 15:15 UTC≈1,510 viewsread 11 November 2026
Video

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10 Nov 2026, 14:31 UTC717 viewsread 11 November 2026
Video

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10 Nov 2026, 14:16 UTC1 viewsread 11 November 2026
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10 Nov 2026, 13:49 UTC≈1,400 viewsread 11 November 2026
Video

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10 Nov 2026, 13:41 UTC340 viewsread 11 November 2026
Video

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10 Nov 2026, 13:29 UTC297 viewsread 11 November 2026
Video

#群友投稿:快到年底了,还在东南亚坚持的人,还有多少? 时间过得真快,感觉年初还没过去多久,转眼又到了年底。这一年,东南亚的变化确实不小。从柬埔寨到缅甸,从菲律宾到老挝,再到马来西亚,清查、整顿、突击行动接连不断,各个地方的风声一直很紧。 以前热闹的街道,如今冷清了不少;以前熟悉的市场,也没有了往日的景象。园区清零、人员撤离、公司没了,这些事情几乎成了这一年的常态。 一年的时间,说长不长,说短也不短。还在这里的人,或许已经习惯了这种环境,但外面的变化,谁也无法忽视。 岁月如梭,寒来暑往,一转眼又是一年。现在再问一句,东南亚还适合留下来吗? 🔔 订阅亚太联盟曝光频道 ↓ 🔗 t.me/+fng825vGFvdkYjgx ☎️ 投稿澄清爆料 : @yt123

10 Nov 2026, 13:13 UTC403 viewsread 11 November 2026
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#群友爆料:图片此人早期盘踞柬埔寨从事军包诈骗、美国华侨诈骗,担任公司总负责人、大代理、主管等多种职务。 吉米(戴眼镜、一头白毛,福建漳州籍);公司老板:托尼,之前听说改名老K(福建漳州籍),长期在马来遥控操作指挥。 公司代理有:张帅、阿浩、大山、老游、阿财、小猪、阿进、阿东。 后台管理:阿浩、天赐、小凯。 集团大老板:三证集团老蒋(福建漳州籍)旗下分公司。 最开始军包公司在缅甸佤邦,后面因为缅甸严打,搬家到柬埔寨木牌园区,分为多个部门诈骗。每个月军包公司一个部门业绩至少3000万人民币打底,美国华侨公司业绩每个月至少2000万打底。 后面因为木牌出事后待不下去,搬家到财通5A园区和金湾园区继续从事诈骗。在财通5A园区,一名国内骗过来的小孩子因为数据不达标,被吉米、主管、组长以及其他的员工活活殴打致死。最后整个公司都被警察包围,公司搬家走到七星海园区。 到七星海园区也是无恶不作,导致很多国内骗招过来的小孩每天强制要…

10 Nov 2026, 12:58 UTC≈1,360 viewsread 11 November 2026
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📱苹果用户一定注意! 苹果手机又出漏洞了,装错一个App,钱包里的U可能被无感偷走 11月8日,有个开发者在 GitHub 上公开了一个苹果漏洞,名字叫 worse_query。 用大白话说:苹果本来给每个 App(沙盒)都关在自己的小房间里,互相看不到。这个漏洞能让一个 App 从小房间里溜出来,去翻别的 App 的东西,还能改。 那问题就大了。你手机里要是装了个带毒的 App,它就能借这个漏洞去翻你钱包 App 里的数据,你这边一点感觉都没有,U 可能就没了。 受影响的版本很多,iOS 26.0 到 26.7.2,还有 27.2,连 27.3 测试版都有。作者说已经报给苹果了,但到现在还没修好,代码却已经公开,网上已经有人拿它做成工具了。 用苹果的兄弟,这段时间注意: 1. 来路不明的 App 一个都别装,特别是别人私发的安装包、要你点"信任"的企业签名 App,骗子最爱用这招。 2. 苹果一推送更新,马上升级。…

10 Nov 2026, 12:47 UTC≈1,120 viewsread 11 November 2026
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柬埔寨西港部分大型建筑停工、拆除,昔日繁华景象逐渐褪去。 近日,西哈努克城部分大型建筑已停止施工,部分建筑陆续被拆除。至于这些建筑后续将如何规划、是否会有新的项目进驻,目前尚不清楚。 曾经热闹的西港,如今不少区域显得格外冷清,大型建筑施工相继停摆,城市也逐渐恢复了往日难得的寂静。据悉,照片拍摄于西哈努克城 Chhneo Cheu Teal 路段。 西港的变化,或许只有亲眼见证过这里曾经繁华的人,才能真正感受到。 🔔 订阅亚太联盟曝光频道 ↓ 🔗 t.me/+fng825vGFvdkYjgx ☎️ 投稿澄清爆料 : @yt123

10 Nov 2026, 12:37 UTC≈1,080 viewsread 11 November 2026
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#印尼资讯:警方联手通讯部,加强打击跨国电诈及网络赌博 印尼国家警察总长苏尤迪·阿里奥·塞托(Suyudi Ario Seto)与通讯及数字事务部长梅蒂娅·哈菲德(Meutya Hafid)在雅加达举行会谈,双方决定加强执法协调,重点打击网络赌博、网络诈骗、爱情诈骗以及个人数据非法买卖等违法活动。 根据官方消息,双方将结合网络犯罪预防、数字安全教育及警方执法行动,加快处理民众举报,并加强对跨国犯罪网络的监管与打击。 印尼方面表示,网络犯罪已成为影响社会安全的重要问题,未来将进一步加强部门间合作,切断犯罪团伙利用互联网实施诈骗及非法赌博活动的渠道,防止更多民众受害。 🔔 订阅亚太联盟曝光频道 ↓ 🔗 t.me/+fng825vGFvdkYjgx ☎️ 投稿澄清爆料 : @yt123

Showing the 12 most recent of 1,323 posts we hold for @dnylb. 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.

Mentions

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.

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 10 November 2026 — this entry's latest reading, not the date you are reading this.

“凤凰新闻东南亚联播” (@dnylb), 19,805 subscribers as measured 10 November 2026. Telegram Register, tgregister.com/channel/dnylb.

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.