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Channel

迪拜新闻|华人资讯大曝光

@xinwen118

On this record: Topic · Observations · Also posting the same content · Growth · Engagement · What this channel posts · Reactions · Posts · Posts edited after publishing · Citations · Telegram's recommendations · Cite this entry

121,725subscribers

+2,853 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-1001726433010
TypeChannel
Username@xinwen118
CreatedBetween 1 December 2021 and 30 April 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live8 November 2026
Measurements held61
Confirmed unchanged1 time, most recently 8 November 2026
On Telegramt.me/xinwen118

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 9 August 2026 and assigned it the closest of 31 fixed categories, at 73% 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 word for word on 2 other registered channels. 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
@DNYQZZP/558337 Aug 2026, 06:50 UTC@xinwen118/48639 · this entry7 Aug 2026, 12:35 UTC1.005.8 hours
@DNYQZZP/558497 Aug 2026, 09:00 UTC@xinwen118/48667 · this entry7 Aug 2026, 16:18 UTC1.007.3 hours
@DNYQZZP/558537 Aug 2026, 10:00 UTC@xinwen118/48630 · this entry7 Aug 2026, 11:05 UTC1.0065 minutes
@DNYQZZP/558717 Aug 2026, 12:50 UTC@xinwen118/48652 · this entry7 Aug 2026, 14:08 UTC1.0078 minutes
@DNYQZZP/558837 Aug 2026, 15:10 UTC@xinwen118/48663 · this entry7 Aug 2026, 15:16 UTC1.006 minutes
@Dubaiqzzp/418217 Aug 2026, 10:18 UTC@xinwen118/48667 · this entry7 Aug 2026, 16:18 UTC1.006.0 hours
Every channel this entry shares post bodies with
ChannelMatching postsText overlapTypical gapPublished first
@DNYQZZP5 (5/5 hand-verifiable sample passed)1.0077 minutes@DNYQZZP (5–0)
@Dubaiqzzp5 (5/5 hand-verifiable sample passed)1.0021 minutesthis entry (4–1)

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 20 comparable posts for this entry, running 7 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.

  • 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 3, the earliest publisher we hold is @DNYQZZP. That is a statement about our reading window, not a claim of authorship.

Recorded under the keys clone_copy · clone_source, last confirmed 7 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 2 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.

Growth

95,516126,649111,082.5121,7257 August 20268 November 2026
61 measurements spanning 93 days, net +2,853. 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 90,846–131,319 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 61
Measured (UTC)SubscribersChange
8 Nov 2026, 09:59121,725-82
7 Nov 2026, 05:41121,807+5
6 Nov 2026, 02:56121,802+225
5 Nov 2026, 01:41121,577+372
4 Nov 2026, 00:41121,205+326
3 Nov 2026, 02:19120,879+238
2 Nov 2026, 03:21120,641+82
1 Nov 2026, 06:00120,559-503
31 Oct 2026, 05:08121,062-1,383
30 Oct 2026, 05:40122,445-911
29 Oct 2026, 02:56123,356-642
28 Oct 2026, 04:16123,998-360
27 Oct 2026, 04:27124,358-835
26 Oct 2026, 05:39125,193-874
25 Oct 2026, 08:46126,067-582
24 Oct 2026, 09:51126,649+11,018
23 Oct 2026, 06:56115,631-1,442
22 Oct 2026, 04:10117,073-1,126
21 Oct 2026, 00:37118,199-1,073
19 Oct 2026, 22:50119,272first reading

Engagement

2,870 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 189 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
3.69%
avg views ÷ 121,725 subscribers
Avg views / post
4,500
784 posts measured
Reaction rate
0.038%
reactions ÷ views · ER floor
Posts in window
785
of 2,870 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. It is computed over the 267 of 784 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 8 November 2026
Posts held2,870 (7 August 2026 – 8 November 2026)
Views total3,524,083
Reactions total453
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken8 Nov 2026, 04:56 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
3h 08m
Average length
28s

Measured directly from 407 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

511 reactions across 319 posts, in 13 distinct kinds. The most used accounts for 15.3% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍7815.3%
⚡6212.1%
🥰5911.5%
🔥5811.4%
❤5310.4%
🤩5310.4%
😁499.59%
👏479.20%
🎉428.22%
🍌30.587%
👌30.587%
💔30.587%
❤‍🔥10.196%

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 319 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 511 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 3 October 2026 to 8 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: 1 of 785 posts held from the last 30 days (0.127%) 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).

8 Nov 2026, 04:20 UTC≈3,730 viewsread 8 November 2026
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8 Nov 2026, 00:35 UTC≈2,880 viewsread 8 November 2026
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7 Nov 2026, 16:18 UTC≈3,580 viewsread 8 November 2026
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7 Nov 2026, 16:00 UTC≈1,760 viewsread 8 November 2026
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7 Nov 2026, 14:51 UTC≈2,350 views3 reactionsread 8 November 2026
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#网友求助:主管阿南,你在哪里?我想把钱还给你 2022年,我跟你从迪拜搬到菲律宾。2023年,家里亲人突发疾病,病情严重,急需用钱,我便开口向你借了3万元人民币。当时也是抱着试一试的心态跟你说的。你看了我和家里人的聊天记录后,说只要不是骗你就行。 后来你拿给我30万比索。再后来团队解散,你带着我们去了迪拜。我想着赚到钱后再还给你。到了迪拜开工后,换了主管,你就不见了。 当时在菲律宾,我想加你微信,你还开玩笑说,怕我以后转污点证人指证你。有钱的时候让我还给你就行。后来有人说公司安排你去做别的项目了,也有人说你回国了。 再后来,因为各种原因,我离开公司去了别的地方。直到去年水沟谷跑路时,遇到之前的同事,听说你在马来西亚,但他也是听别人说的,没有你的联系方式。 现在只能通过这种方式找你,希望能把钱还给你! 在公司时,你一直很照顾我们这些底层做事的人,很多人都受到过你的私下照顾。在这个行业里,能遇到你这样的主管,真的很幸运…

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7 Nov 2026, 14:30 UTC≈3,820 viewsread 8 November 2026
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7 Nov 2026, 13:46 UTC≈3,280 views1 reactionsread 8 November 2026
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7 Nov 2026, 13:28 UTC≈1,670 views2 reactionsread 8 November 2026
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“稳赚不赔”的租客差点拿走11万现金,警方劝阻并抓获取钱车手 线上认识的租客突然热情起来,主动介绍“高回报投资项目”,反复保证稳赚不赔,风险说得很小。当事人信了,准备转出11万元现金。警方及时发现劝阻,顺线追查,把专门取钱的车手当场抓获。 所谓高回报、稳赚不赔,全是话术。熟人、网友、租客介绍投资,一律先核实。对方催着交现金、转账,立刻停手。发现可疑,报警并保留聊天记录、转账凭证。 钱没转出去,车手先进去了。“稳赚”两个字,最贵。 “租客”这个身份,是这套骗局里最巧的一环——线上认识、有过接触、看起来像正经人,主动介绍项目,还反复保证稳赚不赔。信任就是这么一点点建立起来的,等当事人准备转11万现金的时候,防备已经放下了。好在警方发现得早,钱没出门,顺线还抓到了取钱的车手。 这个案子最该记住的是两个动作:一是“催着交现金、转账”就该停手,真投资不会催你用现金;二是“车手”的存在说明,钱一旦交出去,追回来的难度比拦下来大得多…

❤1🔥1

7 Nov 2026, 13:16 UTC≈4,740 views2 reactionsread 8 November 2026
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#马来西亚资讯:沙巴斗湖警方突袭理疗中心,31岁中国籍女子涉嫌招揽卖淫被捕,认罪后判监5个月 11月6日报道,马来西亚沙巴州斗湖警方日前突袭一间理疗中心,逮捕一名涉嫌招揽卖淫的31岁中国籍女子。该女子随后在法庭上认罪,被判处监禁5个月及罚款4000令吉。 据当地媒体报道,警方于11月4日晚上接获相关线索后展开调查,并安排一名便衣警员乔装顾客进入理疗中心。 调查过程中,该名女子涉嫌以700令吉的价格向便衣警员提供性服务。双方达成交易后,警方随即采取行动,将女子当场逮捕。 警方随后查获700令吉现金、一件使用过的避孕套、避孕套包装袋及一部手机,作为案件调查证据。 11月5日,警方将该女子带上斗湖推事庭申请延扣,法院批准延扣3天,以协助警方进一步调查。 案件援引马来西亚《刑事法典》第372B条文(招揽卖淫)展开调查。 最新消息指出,该名女子已在庭上认罪,被判处监禁5个月,并罚款4000令吉;若无法缴清罚款,则须额外监禁2…

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7 Nov 2026, 12:58 UTC≈1,540 views2 reactionsread 8 November 2026
Video

近日泰国警方及时破门营救遭电诈女大学生,受害者此前已被骗近40万泰铢 泰国国家警察总署打击科技犯罪中心(PCT)发现异常转账后,协调警方展开营救,警方破门时,女大学生仍与诈骗分子保持视频通话,甚至被要求脱衣展示。 诈骗分子冒充AIS电信公司及警方人员,谎称受害者卷入4个网赌网站案件和50万泰铢洗钱案,威胁恐吓并诱导其配合调查。 骗子教唆受害者谎称韩国留学保证金,向父亲索要50万泰铢,受害者先后转账149,700泰铢,并提取25万泰铢现金交给指定人员。 ========================================================= 😃金牌商家:😀😀😀😀😀7T.COM全球最稳的USDT娱乐城 😃金牌商家:🌈🌈🌈免实名无风控,反水无上限大额无忧🪙 😃金牌商家:😀😀😀😀😀😀😀😀😀😀首周100%包赢 😃金牌商家:⚡️⚡️⚡️⚡️⚡️ 人民币注册 ⚡️ USDT注册😑 😃金牌商家:🤩🤩🤩🤩 香港六…

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7 Nov 2026, 12:45 UTC≈2,350 viewsread 8 November 2026
Video

🤩🤩🤩🤩🤩🤩🤩🤩品牌铸就非凡 · 实力绝非偶然 ➡️ 超级玩家赌神附体,狂揽1.6亿,可自行验证真伪 😀注册网址: y30078.com ⚡️⚡️⚡️⚡️⚡️⚡️ ⚡️8K国际U台 8k2936.com 福利好超高爆率! 😀😳😳😀😳😳😀😳😳😀😳😳😀😳😳 #东南亚盘总们首选权威综合😃台 集团储备资金2亿U 打造全网最牛逼的线上娱乐平台。 1️⃣1️⃣1️⃣1️⃣1️⃣1️⃣ 1️⃣1️⃣1️⃣1️⃣1️⃣1️⃣ 📣Y3国际 #真人视讯限红50万u一口 😀😀😀😀😀😀😀😀😀#电子可3000U一拉 😀Solaire千亿实体资本,菲律宾索莱尔·官方直营 😘Y3精彩时刻: 女王大水 玩家在PG电子赏金女王盈利450万U PP电子糖果大水玩家在PP电子极速糖果盈利380万 麻将胡了爆大分 玩家在PG电子麻将胡了盈利420万 【#Y3国际|全网福利天花板】 单笔出款50万 彩金3888 单笔出款100万 彩金8888 …

Showing the 12 most recent of 2,870 posts we hold for @xinwen118. 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.

Posts edited after publishing

@xinwen118 edited 2 posts after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.

An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.

First edit seen
7 September 2026
Most recent edit
16 September 2026

Forward network

Republished by

Channels on the register that have forwarded this channel's posts into their own feed.

Built only from forwarded posts we have actually read, on both sides. Coverage is early and deliberately incomplete: a missing link means we have not read the post that would prove it, never that the relationship does not exist. Counts are distinct forwarded posts observed, so they only ever go up as we read more.

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.

Channels Telegram recommends alongside this one

Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.

新华社丨新闻曝光
@iiiik · 33,702
#1
东南亚沸点Time🥇
@vip35r · 26,128
#2
东南亚曝光网
@baoheitai · 1,106
#3
菲律宾⚜️大事件
@dashijian01 · 25,101
#4
🥇东南亚华人大事件
@DNY88880 · 100,312
#5
安危事件
@anwei2 · 32,571
#6
今日头条
@jinritoutiao6 · 12,023
#7
东南亚大事件/头条事件
@toutiao_4 · 1,087
#8
博彩新闻/今日头条/东南亚新闻
@xinhuaribao · 902
#9
东南亚吃瓜🍉
@dny1577 · 5,057
#10
海外头条-海外新闻-cctv
@aza520 · 3,242
#11
新闻早班车🐾
@tg04277 · 59,168
#12
迪拜大事件|迪拜新闻|Dubai生活资讯攻略
@dubai0 · 88,653
#13
最前线大事件曝光
@cctv_dy · 22,103
#14
东南亚头条吃瓜
@svipzz · 60,158
#15
菲律宾华人事件
@feilvbinghuarenriji · 14,745
#16
曝光黑平台&黑佣金
@BG886 · 52,870
#17
东南亚新闻💎
@vipn8888 · 58,017
#18
heicaibaog
@heicaibaog · 10
#19
中文安危曝光🌸海外华人日记
@tghuarenba · 32,426
#20
东南亚🌍安危大事件 (💋菲 柬 迪 泰 缅 老挝💋)爆料
@quanqiubaoliao · 143,454
#21
大象曝光|新闻
@dxdb001 · 4,757
#22
柬埔寨西港曝光吃瓜新闻
@kaleminews · 190,431
#23
《迪拜曝光》迪拜新闻
@baoguangi · 10,402
#24
东南亚BC热点新闻
@baoguangqun110 · 69,095
#25
博彩大事件-曝光
@dsj0161 · 1,980
#26
菲律宾新闻|华人资讯曝光|philippine news
@feilvbinhuarenzixun · 68,391
#27
【曝光频道】迪拜菲律宾东南亚最新资讯
@baoguang212 · 4,441
#28
狗仔爆料_吃瓜爆光新闻大事件
@gouzaibaoliao · 2,033
#29
吃瓜新闻大曝光
@jiuboo · 14,060
#30
东南亚曝光吧⚠️吃瓜爆料
@baoguangba088 · 233,773
#31
华人大事件-吃瓜新闻
@baoguang821 · 45,572
#32
🇨🇳华人社东南亚大事件
@hrs166 · 37,782
#33
东南亚新闻|斑马曝光|news
@Banma_xinwen · 84,706
#34
今日聚焦曝光
@a0159 · 86,193
#35
全网曝光
@quanwangbaoguangb · 127,350
#36
东南亚🇨🇿今日头条
@huohu158 · 189,666
#37
菲律宾华人大事件
@ke5689 · 253,423
#38
曝光骗子
@baoguang2022 · 130,519
#39
新闻曝光/菲律宾曝光/黑平台曝光
@xinwenTV5 · 6,653
#40
东南亚新闻|华人资讯曝光|news
@huaren_zixun · 83,449
#41
迪拜 东南亚求职招聘
@Dubaiqzzp · 89,687
#42
菲律宾大事件灰产新闻/曝光
@tg89aa · 116,876
#43
新博东南亚新闻
@xbbg8 · 248
#44
东南亚安危曝光|西港日记
@ZYWX6 · 86,657
#45
博度-东南亚曝光新闻
@bodu08 · 55,928
#46
东南亚曝光黑平台灰产绑架吃瓜
@TGPG999 · 4,570
#47
东南亚头条曝光频道(菲龙网)
@bgxinwen200 · 26,442
#48
全球资讯曝光大事件
@nnccqq · 37,540
#49
【菲律宾新闻】最新爆光
@baoguang211 · 8,363
#50
菲律宾新闻频道
@baoguangqun999 · 68,190
#51
安危头条/新闻头条
@dnyawtt · 48,131
#52
TG第一曝光频道
@tg88f · 120,198
#53
头条事件
@toutiaoshijian · 66,798
#54
菲龙网新闻|官方频道
@woaiui · 8,208
#55
柬埔寨新闻《柬埔寨曝光》
@sii76 · 200,689
#56
菲律宾华人事件
@svip40 · 130,443
#57
东南亚大事件实时新闻
@sssvip2 · 268,007
#58
迪拜/东南亚/大事件曝光生活资讯攻略
@tingyu0002 · 223,831
#59
Makati新闻社
@makatinews · 67,627
#60
东南亚华人大事件
@jsj62 · 21,783
#61
柬埔寨大事件|曝光|新闻|西港|金边|吃瓜
@v3903 · 35,625
#62
柬埔寨西港大事件
@BG423 · 26,407
#63
骗子曝光
@pzbgfabu666 · 283,814
#64
东南亚曝光吧(吃瓜)
@SB919 · 122,006
#65
全球大事件🌍 「TIKTOK官方」
@qqdsj · 172,046
#66
泰国大事件
@dnyxst · 68,975
#67
东南亚曝光/大事件
@dny099 · 204,737
#68
华人第一资讯(78.com 独家冠名)
@Dzx199 · 26,188
#69
天下支付曝光平台
@TXJT_01 · 3,767
#70
🌏迪拜求职招聘🇦🇪迪拜通🔥
@dibaiSB · 34,189
#71
华讯国际新闻News
@huaxuncnn · 904
#72
东南亚大事件 @svip
@bx666 · 462,156
#73
东南亚 曝光 悬赏 新闻
@DNYXW008 · 73,793
#74
⏩新闻头条
@mgldpd1 · 1,093
#75
菲律宾大事件 全球曝光🚀
@feilvbin198 · 82,430
#76
东南亚曝光频道
@BG2288 · 121,059
#77
东南亚大事件
@chadnag001 · 25,659
#78

Read from Telegram’s recommendation API, most recently 15 August 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.

Appears in Telegram’s recommendations for other channels

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.

菲律宾大事件 全球曝光🚀
@feilvbin198 · 82,430
Telegram ranks this channel #2 of 70 here — alongside 69 others — read 19 August 2026
🥇东南亚华人大事件
@DNY88880 · 100,312
Telegram ranks this channel #3 of 53 here — alongside 52 others — read 19 August 2026
全球资讯曝光大事件
@nnccqq · 37,540
Telegram ranks this channel #6 of 23 here — alongside 22 others — read 31 August 2026
东南亚大事件|柬埔寨新闻|头号玩家生活资讯
@dny12378 · 67,421
Telegram ranks this channel #6 of 68 here — alongside 67 others — read 18 August 2026
东南亚狗推快讯(曝光)📱‼️
@gtkx1 · 150,625
Telegram ranks this channel #6 of 76 here — alongside 75 others — read 14 August 2026
东南亚大事件
@chadnag001 · 25,659
Telegram ranks this channel #7 of 24 here — alongside 23 others — read 1 September 2026
东南亚头条曝光
@baoguang988 · 101,993
Telegram ranks this channel #7 of 53 here — alongside 52 others — read 17 August 2026
柬埔寨西港曝光吃瓜新闻
@kaleminews · 190,431
Telegram ranks this channel #8 of 18 here — alongside 17 others — read 28 August 2026
东南亚曝光大事件新闻头条 exposure
@AoneExp · 116,613
Telegram ranks this channel #8 of 74 here — alongside 73 others — read 14 August 2026
东南亚安危曝光|西港日记
@ZYWX6 · 86,657
Telegram ranks this channel #9 of 69 here — alongside 68 others — read 22 August 2026
东南亚曝光频道
@BG2288 · 121,059
Telegram ranks this channel #9 of 72 here — alongside 71 others — read 15 August 2026
东南亚华人大事件
@jsj62 · 21,783
Telegram ranks this channel #10 of 20 here — alongside 19 others — read 19 September 2026
新华社丨新闻曝光
@iiiik · 33,702
Telegram ranks this channel #10 of 57 here — alongside 56 others — read 26 August 2026
迪拜 东南亚求职招聘
@Dubaiqzzp · 89,687
Telegram ranks this channel #12 of 64 here — alongside 63 others — read 17 August 2026
吃瓜新闻大曝光
@jiuboo · 14,060
Telegram ranks this channel #13 of 25 here — alongside 24 others — read 21 September 2026
【菲律宾新闻】最新爆光
@baoguang211 · 8,363
Telegram ranks this channel #13 of 24 here — alongside 23 others — read 17 September 2026
迪拜新闻|华人资讯曝光|dubai news
@Dubaihuarenzixun · 64,928
Telegram ranks this channel #13 of 73 here — alongside 72 others — read 18 August 2026
全球华人大事件曝光
@qqhrdsjbg · 161,921
Telegram ranks this channel #13 of 71 here — alongside 70 others — read 11 August 2026
柬埔寨头条 🔰
@tnaot · 21,696
Telegram ranks this channel #14 of 19 here — alongside 18 others — read 21 September 2026
华人头条大事件曝光
@huarenvvip · 31,686
Telegram ranks this channel #14 of 19 here — alongside 18 others — read 30 August 2026
缅甸缅北东南亚新闻曝光
@nx123 · 753,461
Telegram ranks this channel #14 of 64 here — alongside 63 others — read 13 August 2026
柬埔寨新闻《柬埔寨曝光》
@sii76 · 200,689
Telegram ranks this channel #14 of 61 here — alongside 60 others — read 11 August 2026
马来西亚新闻|华人资讯曝光|malaysia news
@malaixiyahuarenzixun · 65,938
Telegram ranks this channel #15 of 78 here — alongside 77 others — read 17 August 2026
TG招聘|东南亚新闻大事件‼️
@XMZPK · 62,860
Telegram ranks this channel #15 of 76 here — alongside 75 others — read 16 August 2026

This channel appears in 106 seed channels' Telegram-generated recommendation lists in total, of which the 24 where it ranks highest are shown above. Each is Telegram’s list for THAT channel, not this one — see how this is measured.

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

“迪拜新闻|华人资讯大曝光” (@xinwen118), 121,725 subscribers as measured 8 November 2026. Telegram Register, tgregister.com/channel/xinwen118.

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.