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Channel

🅥菲埋実曝光

@syxw1

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

54,437subscribers

+1,050 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-1002341978830
TypeChannel
Username@syxw1
Description•视野曝光台 - 《视野新闻》 “视野新闻” 是䞀扇掞察热点新闻窗口臎力于䞺圚倖华人垊来䞰富、倚元䞔具有深床的新闻资讯。 “视野新闻” 䞍仅是新闻的䌠递者曎是思考的匕领者。 郜将以广阔的视野、粟圩的内容和䌘莚的服务成䞺䜠获取信息、匀拓视野的最䜳䌙䌎。 视野发垃员 - 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 live6 November 2026
Measurements held60
Confirmed unchanged1 time, most recently 6 November 2026
On Telegramt.me/syxw1

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 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 1 other registered channel. They sit inside a group of 3 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.

Matching posts — open both and compare (6 of the pairs behind the counts below)
Posted firstThenOverlapGap
@syxw7/524277 Aug 2026, 07:25 UTC@syxw1/48343 · this entry7 Aug 2026, 08:35 UTC1.0071 minutes
@syxw7/524307 Aug 2026, 08:20 UTC@syxw1/48345 · this entry7 Aug 2026, 09:01 UTC1.0041 minutes
@syxw1/48346 · this entry7 Aug 2026, 09:19 UTC@syxw7/524327 Aug 2026, 10:07 UTC1.0049 minutes
@syxw1/48348 · this entry7 Aug 2026, 09:39 UTC@syxw7/524417 Aug 2026, 11:25 UTC1.001.8 hours
@syxw1/48351 · this entry7 Aug 2026, 10:36 UTC@syxw7/525147 Aug 2026, 20:25 UTC1.009.8 hours
@syxw1/48390 · this entry7 Aug 2026, 15:19 UTC@syxw7/525077 Aug 2026, 17:39 UTC1.002.3 hours
Every channel this entry shares post bodies with
ChannelMatching postsText overlapTypical gapPublished first
@syxw78 (8/8 hand-verifiable sample passed)1.0071 minutesthis entry (6–2)

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. 2 of the 2 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 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. 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 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

41,87258,11249,9927 August 2026 — 53,387 subscribers8 August 2026 — 53,228 subscribers9 August 2026 — 52,882 subscribers9 August 2026 — 52,558 subscribers10 August 2026 — 52,454 subscribers11 August 2026 — 52,165 subscribers12 August 2026 — 51,951 subscribers14 August 2026 — 51,808 subscribers15 August 2026 — 51,595 subscribers17 August 2026 — 51,145 subscribers18 August 2026 — 50,894 subscribers19 August 2026 — 50,734 subscribers20 August 2026 — 50,631 subscribers21 August 2026 — 50,585 subscribers22 August 2026 — 50,453 subscribers24 August 2026 — 50,263 subscribers25 August 2026 — 53,717 subscribers26 August 2026 — 50,462 subscribers27 August 2026 — 58,055 subscribers28 August 2026 — 55,314 subscribers29 August 2026 — 53,064 subscribers30 August 2026 — 52,467 subscribers31 August 2026 — 51,727 subscribers1 September 2026 — 51,192 subscribers2 September 2026 — 50,676 subscribers4 September 2026 — 50,218 subscribers6 September 2026 — 54,251 subscribers10 September 2026 — 51,693 subscribers12 September 2026 — 50,754 subscribers14 September 2026 — 54,794 subscribers15 September 2026 — 53,922 subscribers17 September 2026 — 53,067 subscribers28 September 2026 — 46,597 subscribers5 October 2026 — 44,938 subscribers9 October 2026 — 43,739 subscribers13 October 2026 — 42,891 subscribers14 October 2026 — 42,472 subscribers15 October 2026 — 42,177 subscribers16 October 2026 — 41,872 subscribers17 October 2026 — 46,660 subscribers18 October 2026 — 46,543 subscribers19 October 2026 — 46,247 subscribers20 October 2026 — 45,984 subscribers21 October 2026 — 56,781 subscribers22 October 2026 — 56,476 subscribers23 October 2026 — 56,182 subscribers24 October 2026 — 55,862 subscribers25 October 2026 — 55,629 subscribers26 October 2026 — 55,238 subscribers27 October 2026 — 58,112 subscribers28 October 2026 — 57,753 subscribers29 October 2026 — 57,248 subscribers30 October 2026 — 56,412 subscribers31 October 2026 — 56,092 subscribers1 November 2026 — 55,829 subscribers2 November 2026 — 55,685 subscribers3 November 2026 — 55,009 subscribers4 November 2026 — 54,724 subscribers5 November 2026 — 54,574 subscribers6 November 2026 — 54,437 subscribers54,4377 August 20266 November 2026
60 measurements spanning 91 days, net +1,050. 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 39,436–60,548 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 60
Measured (UTC)SubscribersChange
6 Nov 2026, 16:4654,437-137
5 Nov 2026, 15:5454,574-150
4 Nov 2026, 19:1754,724-285
3 Nov 2026, 18:5755,009-676
2 Nov 2026, 16:3855,685-144
1 Nov 2026, 15:2955,829-263
31 Oct 2026, 14:2956,092-320
30 Oct 2026, 13:4556,412-836
29 Oct 2026, 15:5157,248-505
28 Oct 2026, 13:0157,753-359
27 Oct 2026, 13:4058,112+2,874
26 Oct 2026, 16:2955,238-391
25 Oct 2026, 14:3155,629-233
24 Oct 2026, 16:1055,862-320
23 Oct 2026, 18:0756,182-294
22 Oct 2026, 21:0056,476-305
21 Oct 2026, 20:5556,781+10,797
20 Oct 2026, 12:4945,984-263
19 Oct 2026, 16:1846,247-296
18 Oct 2026, 17:5746,543first reading

Engagement

1,691 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 186 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
1.30%
avg views ÷ 54,437 subscribers
Avg views / post
706
572 posts measured
Reaction rate
0.137%
reactions ÷ views · ER floor
Posts in window
572
of 1,691 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 6 of 572 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 6 November 2026
Posts held1,691 (7 August 2026 – 6 November 2026)
Views total403,956
Reactions total6
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken6 Nov 2026, 23:23 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
≈41,100
Videos
≈6,700
Links
≈13,200

Lifetime counters from Telegram’s own channel header, read 6 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
1h 29m
Average length
23s

Measured directly from 235 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

6 reactions across 6 posts, in 2 distinct kinds. The most used accounts for 83.3% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍583.3%
❀116.7%

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 6 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 6 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 10 September 2026 to 6 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 572 posts held from the last 30 days (0.175%) 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).

6 Nov 2026, 15:13 UTC877 viewsread 6 November 2026
Photo

#泰囜新闻 #ize147 泰囜眑络譊察捣毁了ize147赌博眑站逮捕了11名嫌疑人其䞭包括䞀矀䞭闎人和䞀名䞭囜金融家的劻子该金融家是该眑站的受益人。该眑站运营仅7䞪月就拥有超过10䞇名䌚员非法获利28亿泰铢。䞀家航运公叞被甚䜜幌子非法所埗被甚于掗钱以资助䞀家金属板材制造厂。调查人员逐䞀抓获了涉案人员并查获了包括房产、土地和跑蜊圚内的价倌超过3000䞇泰铢的资产。 🕑#广告赞助商 😀😀😀😀😀9G.COM 党球垃局 实力保障 😀😀😀😀😀7T.COM党球最皳的USDT嚱乐城 🀄🀄🀄0充倌免莹䜓验䞭奖可提现 ✅订阅安危倎条新闻 🎙 https://t.me/+ME6ukmJPbD9jZmVh ✅安危倎条新闻胖胖@syxw01 Ⓜ

6 Nov 2026, 14:31 UTC782 viewsread 6 November 2026
Video

金蟹公寓检查电诈案件女子蟱骂执法人员执法人员党皋保持冷静 金蟹䞀倄公寓内执法人员正圚检查涉嫌眑络诈骗盞关案件时䞀名女子突然出蚀蟱骂蚀语十分䞍圓。 期闎尜管该女子䞟起拍摄讟倇以垊有嚁胁的姿态对着执法人员现场人员仍始终保持冷静没有䞎其发生争执而是继续耐心解释并进行劝富。 这䞀衚现䜓现了执法人员应有的䞓䞚玠养䞎少数腐莥执法人员的行䞺圢成鲜明对比。 掗癜案䟋~~ 🕑#广告赞助商 😀😀😀😀😀9G.COM 党球垃局 实力保障 😀😀😀😀😀7T.COM党球最皳的USDT嚱乐城 🀄🀄🀄0充倌免莹䜓验䞭奖可提现 ✅订阅安危倎条新闻 🎙 https://t.me/+ME6ukmJPbD9jZmVh ✅安危倎条新闻胖胖@syxw01 Ⓜ

6 Nov 2026, 13:15 UTC≈1,060 viewsread 6 November 2026
Photo

#眑友投皿 #矎囜制裁 矎囜䞀宣垃制裁 倧象倖卖的线䞊支付就哑火了 所以诎矎囜䞀制裁 金融机构绝对是反应最快的 因䞺没有任䜕䞀家银行 它敢䞍听矎囜的 矎囜人掌握着swift栞歊噚 可以管党䞖界的银行 就算䜠圚囜内 把矎囜人惹毛了 矎囜人制裁䜠 那工行建行农行... ... 也有埈倧抂率可胜 马䞊冻结、终断䜠的䞚务和莢务 所以诎 别招惹矎囜人 他的工具箱里面的工具 实圚是倪倚了 🕑#广告赞助商 😀😀😀😀😀9G.COM 党球垃局 实力保障 😀😀😀😀😀7T.COM党球最皳的USDT嚱乐城 🀄🀄🀄0充倌免莹䜓验䞭奖可提现 ✅订阅安危倎条新闻 🎙 https://t.me/+ME6ukmJPbD9jZmVh ✅安危倎条新闻胖胖@syxw01 Ⓜ

6 Nov 2026, 13:00 UTC≈1,070 viewsread 6 November 2026
Photo

😀😀😀😀😀😀😀😀😀😀😀😀😀 😀【7T.COM】党球公讀最皳 😀😀😀😀😀😀😀😀😀😀 😀380亿U出欟见证持续䞺甚户提䟛皳定可靠䜓验 😀😀😀😀😀😀😀😀😀😀 😀行䞚领先出欟效率58秒见证极速服务䜓验。 😀😀😀😀😀😀😀😀😀😀😀😀 😀持续皳定增长郜是各䜍老板的信任见证。 😀😀😀😀😀😀😀😀😀😀😀 实力积环赢埗行䞚各老板的讀可。 😀😀😀😀😀😀😀😀😀😀 每月千䞇矎金投入臎力打造行䞚品牌标杆。 😀😀😀😀【7T.COM】 😀😀😀😀【官方飞投】 😀😀😀😀【@uuu7t】 😀😀😀😀😀😀😀😀😀😀😀

6 Nov 2026, 12:01 UTC887 viewsread 6 November 2026
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6 Nov 2026, 11:32 UTC≈1,300 viewsread 6 November 2026
Video

#西枯 #星沙湟公寓 西枯䞀名工人高空䜜䞚时被绳玢困䜏正圚呌救 西哈努克垂第4分区“星沙湟公寓”䞀名工人䞊楌进行油挆䜜䞚时被困圚半空䞭现正向倖呌救等埅救揎。 目前现场救揎情况尚䞍枅楚。 🕑#广告赞助商 😀😀😀😀😀9G.COM 党球垃局 实力保障 😀😀😀😀😀7T.COM党球最皳的USDT嚱乐城 🀄🀄🀄0充倌免莹䜓验䞭奖可提现 ✅订阅安危倎条新闻 🎙 https://t.me/+ME6ukmJPbD9jZmVh ✅安危倎条新闻胖胖@syxw01 Ⓜ

6 Nov 2026, 11:07 UTC≈1,360 viewsread 6 November 2026
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#眑友反銈 #瓊努阿囟 䞜南亚电诈枅剿后骗子盯䞊瓊努阿囟 䞜南亚电诈被䞥打之后有诈骗团䌙正圚埀瓊努阿囟蜬移萜脚。 这蟹入境、拿身仜盞对容易跚囜执法协䜜麻烊埈倚骗子躲圚这里远皋操盘搞刷单、理莢、资金盘、冒充公检法诈骗䞓闚骗囜内的人。 诈骗集团正圚埀瓊努阿囟搬家。 䞥重圱响了我们圓地华人。 🕑#广告赞助商 😀😀😀😀😀9G.COM 党球垃局 实力保障 😀😀😀😀😀7T.COM党球最皳的USDT嚱乐城 🀄🀄🀄0充倌免莹䜓验䞭奖可提现 ✅订阅安危倎条新闻 🎙 https://t.me/+ME6ukmJPbD9jZmVh ✅安危倎条新闻胖胖@syxw01 Ⓜ

6 Nov 2026, 10:23 UTC10 viewsread 6 November 2026
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#眑友投皿 他骑䞊我心爱的小摩托跑了 昚倩我打算把我的䞀台摩托蜊圓二手给倄理了。于是我圚纞飞机䞊的䞀䞪二手亀易矀发垃了蜬让摩托蜊的消息。然后就有䞀䞪人联系我诎芁看蜊试蜊。 我们纊奜昚倩傍晚19:20圚西枯五象广场碰倎。到了时闎双方郜劂纊而至。 经过几句简单的亀流我就把蜊钥匙给了他。他诎他芁骑䞀圈试试蜊。 于是他骑着我的小摩托匆匆消倱圚了西枯的倜色䞭再也没有回来。 只剩䞋我站圚五象广场的马路蟹像傻叉䞀样的等埅... ... 🕑#广告赞助商 😀😀😀😀😀9G.COM 党球垃局 实力保障 😀😀😀😀😀7T.COM党球最皳的USDT嚱乐城 🀄🀄🀄0充倌免莹䜓验䞭奖可提现 ✅订阅安危倎条新闻 🎙 https://t.me/+ME6ukmJPbD9jZmVh ✅安危倎条新闻胖胖@syxw01 Ⓜ

6 Nov 2026, 09:18 UTC≈1,510 viewsread 6 November 2026
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#菲埋実新闻 垕拉尌亚克垂逮捕2名䞭囜籍通猉犯及1名速期居留者 让违法逃犯无倄可逃譊方圚垕拉尌亚克垂Parañaque成功逮捕了2名因涉嫌诈骗及非法眑络赌博掻劚而被通猉的䞭囜籍人员歀倖行劚䞭还抓获了及1名涉嫌速期居留的䞭囜公民。 这些把我们囜家圓成犯眪窝点的违法人员还胜躲倚久必须䟝法远究他们的法埋莣任䞥惩䞍获 🕑#广告赞助商 😀😀😀😀😀9G.COM 党球垃局 实力保障 😀😀😀😀😀7T.COM党球最皳的USDT嚱乐城 🀄🀄🀄0充倌免莹䜓验䞭奖可提现 ✅订阅安危倎条新闻 🎙 https://t.me/+ME6ukmJPbD9jZmVh ✅安危倎条新闻胖胖@syxw01 Ⓜ

6 Nov 2026, 09:00 UTC≈1,560 viewsread 6 November 2026
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😀😀😀😀😀 😀😀😀😀😀 😀 近亿域名价倌 锚定品牌根基 😀 癟幎雄心倧计 建立长久信誉 😀😀😀😀😀😀😀😀😀😀😀😀😀 😀 新甚户环计銖呚包赔突砎1000侇U 😀 重磅犏利投入打造行䞚领先甚户保障䜓系 😀😀😀😀😀😀😀😀😀😀😀😀😀 😀NO钱包5000侇U担保加持雄厚实力技航官眑权嚁验证NO.COM 😀😀😀😀😀😀😀😀😀😀 😀 党球玩家信赖选择 平台实力持续领航 😀😀😀😀😀😀😀😀😀😀😀 😀知名免莹胜量赞助商 @hu520 😀😀😀😀😀😀😀😀😀😀😀 😀😀😀😀😀😀😀😀😀😀😀 😀😀😀😀【9G.COM】 😀😀😀😀【@uu9g_bot】

6 Nov 2026, 08:47 UTC≈1,540 viewsread 6 November 2026
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#越南资讯譊方捣毁跚省色情盎播眑络4人被起诉涉案资金流氎超4.189䞇亿越南盟 11月5日越南老街省公安机关通报譊方成功捣毁䞀䞪跚省色情盎播犯眪眑络4名涉案人员被䟝法提起刑事诉讌。 经调查该团䌙自2025幎以来圚老街省及越南倚䞪省垂组织色情盎播掻劚通过境倖色情眑站建立盎播莊号并利甚Telegram、Zalo、Facebook等瀟亀平台招募女性参䞎色情衚挔。 据悉该团䌙通过虚拟Token收莹观䌗可通过银行蜬莊或莭买手机充倌卡获取Token甚于观看色情盎播并向䞻播提出指定衚挔芁求。盞关资金经过倚䞪银行莊户及电子钱包蜬移随后兑换成USDT再向参䞎盎播的女性支付报酬。 譊方查明䞎该团䌙盞关的银行莊户环计资金流氎超过4.189䞇亿越南盟。截至目前譊方已远回16.5亿越南盟。 目前LÜ Lở Mẩy23岁、Lò Tả Mẩy28岁、Phạm Văn Trọng37岁以及Nguyễn 


6 Nov 2026, 08:12 UTC6 viewsread 6 November 2026
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#柬埔寚新闻 西枯倚名男女青幎疑䌌过量䜿甚电子烟后意识䞍枅民䌗呌吁有关郚闚介入调查 近日柬埔寚西哈努克垂西枯发生䞀起匕发关泚的事件。䞀矀男女青幎疑䌌过量䜿甚电子烟后出现意识暡糊、粟神恍惚等匂垞情况。 圓地眑友对歀衚瀺担忧并呌吁广倧青幎远犻毒品及䞍良嗜奜增区自我保技意识。同时发垖者呌吁圓地有关郚闚对歀事进行调查栞实盞关人员是吊涉及毒品或其他违犁物莚并对涉事青幎进行教育和匕富。 🕑#广告赞助商 😀😀😀😀😀9G.COM 党球垃局 实力保障 😀😀😀😀😀7T.COM党球最皳的USDT嚱乐城 🀄🀄🀄0充倌免莹䜓验䞭奖可提现 ✅订阅安危倎条新闻 🎙 https://t.me/+ME6ukmJPbD9jZmVh ✅安危倎条新闻胖胖@syxw01 Ⓜ

Showing the 12 most recent of 1,691 posts we hold for @syxw1. 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 48 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 21 listed below are the most frequent namers; the rest are counted above but not each listed.

Named by

Channels on the register whose posts name this channel's handle.

◉柬埔寚新闻
@syxw4 · 55,062
131 posts
◉迪拜新闻曝光
@syxw3 · 54,956
102 posts
菲埋実倧事件
@dnyzw188 · 56,647
101 posts
骗子曝光
@dnyzx191 · 56,158
88 posts
柬埔寚倧事件曝光『西枯黑料』
@ukevjiv6 · 24,061
88 posts
扟工䜜䞊菲韙眑求职招聘
@flwph33 · 97,519
81 posts
迪拜新闻🇊🇪
@dnyzx190 · 54,334
78 posts
泰囜猅甞迪拜华人曝光
@facail16888889 · 26,799
78 posts
🅥菲埋実新闻
@syxw2 · 54,373
75 posts
91吃瓜反差新闻
@fcxho · 55,855
73 posts
䞜南亚囜倖新闻
@zdny66 · 96,245
73 posts
亚倪新闻|Yataixinwen
@baoliaofj · 57,843
71 posts
䞜南亚新闻眑
@xinwenzix · 55,254
69 posts
猅北倧事件曝光
@shenqing882 · 28,581
68 posts
菲埋実䞭文新闻🇚🇳
@Tgbaoi · 95,887
66 posts
䞜南亚华人曝光
@xw_339 · 27,040
66 posts
安危倎条新闻 🅥
@syxw6 · 95,692
65 posts
🅥亚倪新闻曝光
@syxw7 · 54,596
63 posts
菲韙眑海倖华人新闻资讯
@flwph99 · 97,637
61 posts
🍉吃瓜搞笑猎奇新闻
@qiqubaikeh · 55,401
61 posts
䞜南亚倧事件曝光
@xinwenzixun888 · 26,357
59 posts

Names

Channels on the register whose handles appear in this channel's posts.

菲韙眑倎条新闻资讯
@flwph66 · 231,760
1,180 posts
泰囜新闻倧事件
@BG_1133 · 26,660
60 posts
探花系列|囜产偷拍
@cosfeng5 · 30,983
60 posts
Ⓜ麻豆囜产圱视
@cosfeng6 · 27,538
60 posts
西枯日记📔柬埔寚新闻䞭心
@dnypgg · 56,010
60 posts
菲埋実倧事件
@dnyzw188 · 56,647
60 posts
迪拜新闻🇊🇪
@dnyzx190 · 54,334
60 posts
亚倪猅甞新闻
@dnyzx88 · 55,979
60 posts
泰囜猅甞迪拜华人曝光
@facail16888889 · 26,799
60 posts
91吃瓜反差新闻
@fcxho · 55,855
60 posts
眑红 ❀䞻播 ❀剧情 粟选
@fuli1234 · 31,952
60 posts
泰囜-马来西亚-新闻曝光
@hongyunlin1 · 27,632
60 posts
泰囜越南马来西亚新闻曝光
@mlxy1218 · 28,024
60 posts
皮皮號内涵段子
@neihanduanziq · 58,051
60 posts
91眑红䞻播鉎黄草抎汀䞍热
@nvyouzhongzi · 37,822
60 posts
🍉吃瓜搞笑猎奇新闻
@qiqubaikeh · 55,401
60 posts
Ⓜ麻豆囜产乱䌊
@SGP55 · 100,523
60 posts
日本 av 种子 番号 无码
@shengyin1 · 29,603
60 posts
91黑料吃瓜
@SQCG2 · 412
60 posts
玠材|sucai
@sucaiba8 · 28,702
60 posts
◉䞜南亚䞭文新闻
@syxw5 · 54,361
60 posts
安危倎条新闻 🅥
@syxw6 · 95,692
60 posts
柬埔寚倧事件曝光『西枯黑料』
@ukevjiv6 · 24,061
60 posts
柬埔寚新闻《柬埔寚曝光》
@xinwenbg3 · 26,448
60 posts

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

“🅥菲埋実曝光” (@syxw1), 54,437 subscribers as measured 6 November 2026. Telegram Register, tgregister.com/channel/syxw1.

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.