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Channel

🅥亚太新闻曝光

@syxw7

On this record: Topic · Observations · Also posting the same content · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Handles named that no longer answer · Cite this entry

46,970subscribers

-5,657 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 31,623–100,000.

Register entry

Telegram ID-1002267280794
TypeChannel
Username@syxw7
Description东南亚大事件 - 【视野新闻】 “视野新闻” 是一扇洞察热点新闻窗口,致力于为在外华人带来丰富、多元且具有深度的新闻资讯。 “视野新闻” 不仅是新闻的传递者,更是思考的引领者。 都将以广阔的视野、精彩的内容和优质的服务,成为你获取信息、开拓视野的最佳伙伴。 视野发布员 - 胖胖 : @syxw01
CreatedBetween 1 September 2024 and 31 March 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live25 September 2026
Measurements held34
Confirmed unchanged1 time, most recently 25 September 2026
On Telegramt.me/syxw7

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 10 August 2026 and assigned it the closest of 31 fixed categories, at 66% 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 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
@syxw7/52427 · this entry7 Aug 2026, 07:25 UTC@syxw1/483437 Aug 2026, 08:35 UTC1.0071 minutes
@syxw7/52430 · this entry7 Aug 2026, 08:20 UTC@syxw1/483457 Aug 2026, 09:01 UTC1.0041 minutes
@syxw1/483467 Aug 2026, 09:19 UTC@syxw7/52432 · this entry7 Aug 2026, 10:07 UTC1.0049 minutes
@syxw1/483487 Aug 2026, 09:39 UTC@syxw7/52441 · this entry7 Aug 2026, 11:25 UTC1.001.8 hours
@syxw1/483517 Aug 2026, 10:36 UTC@syxw7/52514 · this entry7 Aug 2026, 20:25 UTC1.009.8 hours
@syxw1/483907 Aug 2026, 15:19 UTC@syxw7/52507 · this entry7 Aug 2026, 17:39 UTC1.002.3 hours
Every channel this entry shares post bodies with
ChannelMatching postsText overlapTypical gapPublished first
@syxw18 (8/8 hand-verifiable sample passed)1.0071 minutes@syxw1 (6–2)
@syxw55 (5/5 hand-verifiable sample passed)0.9967 minutes@syxw5 (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. 10 of the 10 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 28 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 3, the earliest publisher we hold is @syxw7 — which is this entry. That is a statement about our reading window, not a claim of authorship.

Recorded under the key clone_copy, 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 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

46,97060,63953,804.57 August 2026 — 52,627 subscribers7 August 2026 — 52,625 subscribers8 August 2026 — 52,206 subscribers9 August 2026 — 51,870 subscribers10 August 2026 — 51,690 subscribers11 August 2026 — 51,420 subscribers12 August 2026 — 51,224 subscribers14 August 2026 — 51,033 subscribers15 August 2026 — 50,806 subscribers16 August 2026 — 50,487 subscribers18 August 2026 — 50,103 subscribers19 August 2026 — 49,940 subscribers20 August 2026 — 49,857 subscribers21 August 2026 — 49,790 subscribers22 August 2026 — 49,657 subscribers24 August 2026 — 49,477 subscribers25 August 2026 — 49,330 subscribers26 August 2026 — 56,140 subscribers27 August 2026 — 51,750 subscribers27 August 2026 — 60,639 subscribers28 August 2026 — 57,885 subscribers30 August 2026 — 55,403 subscribers31 August 2026 — 54,698 subscribers1 September 2026 — 54,031 subscribers2 September 2026 — 53,604 subscribers3 September 2026 — 53,098 subscribers4 September 2026 — 52,563 subscribers8 September 2026 — 51,136 subscribers11 September 2026 — 53,882 subscribers13 September 2026 — 52,798 subscribers14 September 2026 — 52,065 subscribers16 September 2026 — 53,642 subscribers18 September 2026 — 51,589 subscribers25 September 2026 — 46,970 subscribers7 August 202625 September 2026
34 measurements spanning 49 days, net -5,657. 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 44,920–62,689 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 34
Measured (UTC)SubscribersChange
25 Sept 2026, 01:5946,970-4,619
18 Sept 2026, 21:0151,589-2,053
16 Sept 2026, 14:2153,642+1,577
14 Sept 2026, 16:5752,065-733
13 Sept 2026, 05:3852,798-1,084
11 Sept 2026, 05:5753,882+2,746
8 Sept 2026, 07:1951,136-1,427
4 Sept 2026, 23:0152,563-535
3 Sept 2026, 09:1653,098-506
2 Sept 2026, 02:0453,604-427
1 Sept 2026, 03:1854,031-667
31 Aug 2026, 02:5954,698-705
30 Aug 2026, 00:2855,403-2,482
28 Aug 2026, 20:5257,885-2,754
27 Aug 2026, 23:4760,639+8,889
27 Aug 2026, 00:3751,750-4,390
26 Aug 2026, 03:4256,140+6,810
25 Aug 2026, 06:1349,330-147
24 Aug 2026, 09:1649,477-180
22 Aug 2026, 14:0649,657first reading

Engagement

1,160 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 109 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
1.65%
avg views ÷ 46,970 subscribers
Avg views / post
774
612 posts measured
Reaction rate
0.146%
reactions ÷ views · ER floor
Posts in window
614
of 1,160 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 34 of 612 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 29 September 2026
Posts held1,160 (7 August 2026 – 29 September 2026)
Views total473,955
Reactions total34
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken29 Sept 2026, 18:06 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
≈42,400
Videos
≈8,460
Links
≈19,700

Lifetime counters from Telegram’s own channel header, read 29 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.

Video runtime
2h 58m
Average length
33s

Measured directly from 320 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

40 reactions across 40 posts, in 9 distinct kinds. The most used accounts for 47.5% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍1947.5%
🔥410.0%
🤩410.0%
😁37.50%
⚡25.00%
❤25.00%
🎉25.00%
👏25.00%
🥰25.00%

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 41 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 40 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 13 August 2026 to 29 September 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

29 Sept 2026, 17:02 UTC934 viewsread 29 September 2026
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#巴基斯坦资讯:打击力度再升级:内政部长要求加速清理有组织网络诈骗 9月27日至28日,巴基斯坦内政部长Mohsin Naqvi在拉合尔NCCIA Central Zone总部召开专项会议,要求全国进一步加大对网络金融诈骗、假账号、数字勒索、网络骚扰及有组织网络犯罪团伙的执法力度 同时逐案复查积压案件、加快数字取证及资金追踪,并明确要求“无差别打击”有组织诈骗网络; NCCIA局长会上汇报了当前正在调查的案件及近期网络诈骗趋势。该指令意味着近期针对非法呼叫中心、跨境网络诈骗团伙的连续行动仍将继续升级。 🕑#广告赞助商 🤩🤩🤩🤩 🤩🤩🤩🤩🤩🤩🤩🤩 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|百家乐真人视讯台红30万U 🙂🙂🙂 电子真人0审核 秒出款 大额无忧超高爆率 业内首选 ✅订阅安危头条新闻 🎙 https://t.me/+ME6ukmJPbD9jZmVh ✅安危…

29 Sept 2026, 16:30 UTC945 viewsread 29 September 2026
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#柬记者投稿 #柬埔寨 សមត្ថកិច្ច​នគរបាល​ខណ្ឌ​ច្បារអំពៅ​ឃាត់​ខ្លួន​ ជនសង្ស័យឈ្មោះ​ TRAN THUYET THANH ភេទប្រុស​ អាយុ៤៦​ឆ្នាំ​ ជនជាតិ​វៀតណាម​ ពាក់ព័ន្ធ​បទល្មើស​ឆបោក​ប្រជាពលរដ្ឋ​ខ្មែរ​មាន​ទឹក​ប្រាក់​ប្រមាណជាង​ ២០ម៉ឺន​ ដុល្លារ​ ។ ពេល​នេះ​សមត្ថកិច្ច​បាន​កសាងសំណុំរឿង​បញ្ជូនទៅ​អយ្យការអមសាលាដំបូង​រាជធានី​ភ្នំពេញ​ ដើម្បី​ចាត់​ការ​តាមច្បាប់​ ។ ប៉ុន្តែ​សមត្ថកិច្ច​ហាក់​លាក់​លៀមមិន​ហ៊ាន​បញ្ចេញ​រូបថតជនជាតវៀតបោកប្រាស់គេទេ​ ព្រោះ​ករណី​នេះ​មាន…

29 Sept 2026, 16:30 UTC947 viewsread 29 September 2026
Photo

#柬记者投稿 #柬埔寨 សមត្ថកិច្ច​នគរបាល​ខណ្ឌ​ច្បារអំពៅ​ឃាត់​ខ្លួន​ ជនសង្ស័យឈ្មោះ​ TRAN THUYET THANH ភេទប្រុស​ អាយុ៤៦​ឆ្នាំ​ ជនជាតិ​វៀតណាម​ ពាក់ព័ន្ធ​បទល្មើស​ឆបោក​ប្រជាពលរដ្ឋ​ខ្មែរ​មាន​ទឹក​ប្រាក់​ប្រមាណជាង​ ២០ម៉ឺន​ ដុល្លារ​ ។ ពេល​នេះ​សមត្ថកិច្ច​បាន​កសាងសំណុំរឿង​បញ្ជូនទៅ​អយ្យការអមសាលាដំបូង​រាជធានី​ភ្នំពេញ​ ដើម្បី​ចាត់​ការ​តាមច្បាប់​ ។ ប៉ុន្តែ​សមត្ថកិច្ច​ហាក់​លាក់​លៀមមិន​ហ៊ាន​បញ្ចេញ​រូបថតជនជាតវៀតបោកប្រាស់គេទេ​ ព្រោះ​ករណី​នេះ​មាន…

29 Sept 2026, 16:18 UTC≈1,130 viewsread 29 September 2026
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#菲律宾新闻 欺诈案头号通缉犯在尼诺伊·阿基诺国际机场被捕 一名32岁的菲律宾籍男子因涉嫌参与团伙诈骗(syndicated estafa)被通缉。近日,他从新加坡抵达菲律宾尼诺伊·阿基诺国际机场(NAIA)3号航站楼后,在帕赛市被警方逮捕。 此次行动源于地区情报部门、地区特别行动组第3组(Regional Special Operations Group 3)、菲律宾国家警察航空安全组(PNP Aviation Security Group)以及 NAIA 第3警察局之间的协调,于9月27日(星期日)展开。 警方根据邦板牙省安赫莱斯市地区审判法院第57分庭于2026年9月10日签发的逮捕令将其拘捕。该逮捕令没有建议保释金,意味着该案件不适用常规保释。@baoguangee 随后,警方与相关航空公司协调,核实该名通缉人员的出行信息,并确认他当时已经搭乘从新加坡飞往菲律宾的航班。 航班抵达后,联合行动小组在国际到达区执行…

29 Sept 2026, 16:18 UTC918 viewsread 29 September 2026
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#菲律宾新闻 欺诈案头号通缉犯在尼诺伊·阿基诺国际机场被捕 一名32岁的菲律宾籍男子因涉嫌参与团伙诈骗(syndicated estafa)被通缉。近日,他从新加坡抵达菲律宾尼诺伊·阿基诺国际机场(NAIA)3号航站楼后,在帕赛市被警方逮捕。 此次行动源于地区情报部门、地区特别行动组第3组(Regional Special Operations Group 3)、菲律宾国家警察航空安全组(PNP Aviation Security Group)以及 NAIA 第3警察局之间的协调,于9月27日(星期日)展开。 警方根据邦板牙省安赫莱斯市地区审判法院第57分庭于2026年9月10日签发的逮捕令将其拘捕。该逮捕令没有建议保释金,意味着该案件不适用常规保释。@toutiao2 随后,警方与相关航空公司协调,核实该名通缉人员的出行信息,并确认他当时已经搭乘从新加坡飞往菲律宾的航班。 航班抵达后,联合行动小组在国际到达区执行逮捕…

29 Sept 2026, 16:01 UTC941 viewsread 29 September 2026
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29 Sept 2026, 16:00 UTC≈1,140 viewsread 29 September 2026
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#小姐姐投稿: 我和我老公是23年在柬埔寨园区认识的。后面攒了点钱就回去结婚了,但是老公现在阳痿了,而且一点挣扎的迹象都没有。可能和之前他做狗推的时候压力大,天天打飞机有关系吧。现在结婚才一年多,小孩也没有,他不愿意和我发生亲密关系。 我说:“以后没有性生活怎么办?”他说:“可以让我去找别人,可以和别人聊,但是不要打扰我。”我说:“你不信了吗?” 他说:“是的。” 还要我以后就把他当女的看,也不狡辩,也不挣扎。 主要是我不想找别人呀!我使出浑身解数勾引他,一点作用没有。我160斤,穿那个吊带袜,勒都勒不进去,动一下就撑破了,他居然一点欲望都没有。无论我怎么坐他身上蹭,他眼里一点光都没有,只想逃跑。 睡觉也是,每次让我先睡,等我睡着了,就自己在沙发上睡。第二天一大早就跑去上班了。下班能加班就加班,到家了就一直躲在厕所,一个大便要拉三个小时。 真的是没招了,求求支个招吧!我还年轻,我还想有夫妻生活。给我想想办法吧。 P…

29 Sept 2026, 15:01 UTC7 viewsread 29 September 2026
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#网友吐槽 #菲律宾 #电费 ⚠️ MAG-INGAT SA "ESTIMATED BILLING" NG MERALCO! DALAWANG BUWANG BLANKO ANG READING, NGAYON BIGLANG PUMALO NG ₱13,284.64! ⚠️ Dalawang buwang BLANKO ang meter reading (ginawang Estimated Consumption), tapos ngayong buwan biglang nag-magic at pumalo sa ₱13,284.64 ang bill namin! Mula sa dating ₱5,783.78, biglang lumobo nang mahigit doble! 😡 Pero ito ang pinakamatindi: Sa pinakahuling bill namin para sa S…

29 Sept 2026, 14:38 UTC7 viewsread 29 September 2026
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#网友澄清:此人叫,张意贵州遵义人,估计最近缺钱缺疯了跑过来诬陷我大哥,他到旧山顶不是到我大哥公司是到黑八公司,他们过来的介绍费跟平时用的生活费都是我大哥拿到他们,黑八刷单公司黑的要死。 那些组长乱扣上面的也不管几个月没业绩平时都领不到工资,都是我大哥接济他们,后面偷公司钱也是我大哥阿富汗去接他们下来,不然要被打的半死,平时也对他们不错,私底下都有给它们钱花。 到op解散的时候,我们这帮兄弟出尔反尔,导致公司没发工资也是我大哥拿钱出来垫,钱路费处理他们回去,动不动集团我大哥一个人的,都不经过脑子,后面我跟过来缅甸,并没有像他说的那样。 真的丢我们贵州人的脸,以上都是事实,如果骗人死全家那种,他说的那个腾腾也是我们老家家里房子买了奔驰买了,黑公司能回去,如果黑公司能回去!真丢贵州人的脸。 PS:又 是带同乡人出来赚钱 然后因为钱的事情闹翻互相曝光 ~~~ 🕑#广告赞助商 🤩🤩🤩🤩 🤩🤩🤩🤩🤩🤩🤩🤩 香港六合彩特码49…

29 Sept 2026, 14:29 UTC875 viewsread 29 September 2026
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#网友投稿:西港蓝色海湾明天可能开展临时检查,具体以物业或官方通知为准,请住户备好相关证件。配合检查!! 🕑#广告赞助商 🤩🤩🤩🤩 🤩🤩🤩🤩🤩🤩🤩🤩 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|百家乐真人视讯台红30万U 🙂🙂🙂 电子真人0审核 秒出款 大额无忧超高爆率 业内首选 ✅订阅安危头条新闻 🎙 https://t.me/+ME6ukmJPbD9jZmVh ✅安危头条新闻胖胖:@syxw01 Ⓜ️ ✅频道互推

29 Sept 2026, 13:48 UTC843 viewsread 29 September 2026
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金边排水沟发现一具男尸 9月28日下午5点左右,金边万景岗区有民众发现一具男尸漂浮在排水沟中。警方赶到后突遇大雨,尸体被水流冲走,警方一路追至桑园区万禾密分区105号路与432号路交界处,才将尸体打捞上岸。 死者为男性,年龄约50多岁,目前身份尚未确认。遗体已送往柬苏友谊医院暂存,警方正寻找死者家属,并等待法医进一步确认死因。 🕑#广告赞助商 🤩🤩🤩🤩 🤩🤩🤩🤩🤩🤩🤩🤩 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|百家乐真人视讯台红30万U 🙂🙂🙂 电子真人0审核 秒出款 大额无忧超高爆率 业内首选 ✅订阅安危头条新闻 🎙 https://t.me/+ME6ukmJPbD9jZmVh ✅安危头条新闻胖胖:@syxw01 Ⓜ️ ✅频道互推

29 Sept 2026, 13:19 UTC840 viewsread 29 September 2026
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#网友投稿:缅甸木姐,是不是又有大佬开几百万的大单了,烟花都放了十几分钟,不知是哪个家庭,支离破碎了。 🕑#广告赞助商 🤩🤩🤩🤩 🤩🤩🤩🤩🤩🤩🤩🤩 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|百家乐真人视讯台红30万U 🙂🙂🙂 电子真人0审核 秒出款 大额无忧超高爆率 业内首选 ✅订阅安危头条新闻 🎙 https://t.me/+ME6ukmJPbD9jZmVh ✅安危头条新闻胖胖:@syxw01 Ⓜ️ ✅频道互推

Showing the 12 most recent of 1,160 posts we hold for @syxw7. 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.

Forward network

Republishes

Channels on the register whose posts this channel has forwarded.

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

Named by 52 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.

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 25 September 2026 — this entry's latest reading, not the date you are reading this.

“🅥亚太新闻曝光” (@syxw7), 46,970 subscribers as measured 25 September 2026. Telegram Register, tgregister.com/channel/syxw7.

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.