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Telegram profile photo for 西港日记/柬埔寨新闻资讯

Channel

西港日记/柬埔寨新闻资讯

@xigang8I8

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

145,796subscribers

+2,187 since we began measuring on 6 August 2026

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

Register entry

Telegram ID-1002135340903
TypeChannel
Username@xigang8I8
CreatedBetween 1 November 2023 and 31 May 2024 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live6 November 2026
Measurements held61
Confirmed unchanged1 time, most recently 6 November 2026
On Telegramt.me/xigang8I8

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 59% 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 7 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
@yatai2/193846 Aug 2026, 12:31 UTC@xigang8I8/42051 · this entry6 Aug 2026, 12:31 UTC1.00under a minute
@xigang8I8/42056 · this entry6 Aug 2026, 13:29 UTC@yatai2/193896 Aug 2026, 13:30 UTC1.00under a minute
@xigang8I8/42065 · this entry6 Aug 2026, 13:57 UTC@yatai2/193986 Aug 2026, 13:57 UTC1.00under a minute
@yatai2/194006 Aug 2026, 14:30 UTC@xigang8I8/42067 · this entry6 Aug 2026, 14:30 UTC1.00under a minute
@yatai2/194026 Aug 2026, 14:34 UTC@xigang8I8/42069 · this entry6 Aug 2026, 14:34 UTC1.00under a minute
@xigang8I8/42094 · this entry7 Aug 2026, 10:24 UTC@yatai2/194257 Aug 2026, 10:24 UTC1.00under a minute
Every channel this entry shares post bodies with
ChannelMatching postsText overlapTypical gapPublished first
@yatai224 (8/8 hand-verifiable sample passed)1.00under a minutethis entry (18–6)
@yatai124 (8/8 hand-verifiable sample passed)1.00under a minutethis entry (20–4)
@feilong24 (8/8 hand-verifiable sample passed)1.00under a minute@feilong (20–4)
@ytxw21 (8/8 hand-verifiable sample passed)1.00under a minutethis entry (18–3)
@dibai714 (8/8 hand-verifiable sample passed)1.00under a minutethis entry (13–1)
@mlxy7 (7/7 hand-verifiable sample passed)1.00under a minutethis entry (6–1)
@guancha8 (8/8 hand-verifiable sample passed)1.00under a minutethis 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. 34 of the 34 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 30 comparable posts for this entry, running 6 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 8, the earliest publisher we hold is @yatai2. 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 7 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

138,216158,348148,282145,7966 August 20266 November 2026
61 measurements spanning 92 days, net +2,187. 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 135,196–161,368 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 61
Measured (UTC)SubscribersChange
6 Nov 2026, 22:01145,796-827
5 Nov 2026, 19:59146,623-1,177
4 Nov 2026, 17:06147,800-1,324
3 Nov 2026, 14:45149,124-153
2 Nov 2026, 14:39149,277-412
1 Nov 2026, 15:00149,689-913
31 Oct 2026, 17:55150,602-1,070
30 Oct 2026, 19:47151,672-1,823
29 Oct 2026, 22:40153,495-1,172
28 Oct 2026, 21:55154,667-1,462
27 Oct 2026, 17:18156,129-1,178
26 Oct 2026, 17:05157,307+15,303
25 Oct 2026, 14:45142,004+2,340
24 Oct 2026, 13:27139,664-1,626
23 Oct 2026, 11:48141,290-555
22 Oct 2026, 10:38141,845-1,251
21 Oct 2026, 01:47143,096-776
20 Oct 2026, 00:06143,872-499
19 Oct 2026, 01:50144,371-762
18 Oct 2026, 03:06145,133first reading

Engagement

1,524 posts held, back to 6 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 187 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
3.32%
avg views ÷ 145,796 subscribers
Avg views / post
4,830
375 posts measured
Reaction rate
0.026%
reactions ÷ views · ER floor
Posts in window
381
of 1,524 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 151 of 375 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 held1,524 (6 August 2026 – 6 November 2026)
Views total1,812,626
Reactions total164
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken6 Nov 2026, 15:08 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
4h 30m
Average length
1m 02s

Measured directly from 260 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

405 reactions across 347 posts, in 13 distinct kinds. The most used accounts for 21.2% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤8621.2%
👍5012.3%
🥰4611.4%
🤩4310.6%
⚡409.88%
🎉389.38%
😁379.14%
👏276.67%
🔥266.42%
😭71.73%
🤯30.741%
👌10.247%
👎10.247%

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 364 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 405 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 2 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: 0 of 381 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).

6 Nov 2026, 14:12 UTC≈1,130 views1 reactionsread 6 November 2026
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#越南资讯:警方捣毁跨省色情直播网络,4人被起诉,涉案资金流水超4.189万亿越南盾 11月5日,越南老街省公安机关通报,警方成功捣毁一个跨省色情直播犯罪网络,4名涉案人员被依法提起刑事诉讼。 经调查,该团伙自2025年以来在老街省及越南多个省市组织色情直播活动,通过境外色情网站建立直播账号,并利用Telegram、Zalo、Facebook等社交平台招募女性参与色情表演。 据悉,该团伙通过虚拟Token收费,观众可通过银行转账或购买手机充值卡获取Token,用于观看色情直播,并向主播提出指定表演要求。相关资金经过多个银行账户及电子钱包转移,随后兑换成USDT,再向参与直播的女性支付报酬。 警方查明,与该团伙相关的银行账户累计资金流水超过4.189万亿越南盾。截至目前,警方已追回16.5亿越南盾。 目前,Lý Lở Mẩy(23岁)、Lò Tả Mẩy(28岁)、Phạm Văn Trọng(37岁)以及Nguyễn …

🤩1

6 Nov 2026, 14:00 UTC38 viewsread 6 November 2026
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6 Nov 2026, 13:01 UTC≈3,780 viewsread 6 November 2026
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#泰国资讯: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。 家长收到银行大额取现通知后,因联系不上女儿而报警,丁登警署警方赶到宿舍,通过破门营救及沟通劝说,使受害者认清骗局,并陪同其前往警署报案。 目前,警方正追查收取25万泰铢现金的嫌疑人,监控显示该男子身材高大,身穿蓝色长袖Polo衫及西装长裤,得手后乘坐Bolt网约车离开。 ———————————————— 📣欢迎加入东南亚华人交流群 🔗 https://t.m…

6 Nov 2026, 12:03 UTC≈5,370 views1 reactionsread 6 November 2026
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美国再制裁太子集团:陈波妻子何雨静、庞伟志及23家柬埔寨企业上榜 美国11月5日宣布新一轮针对柬埔寨太子集团的制裁,新增4名个人及41家企业。其中23家企业注册于柬埔寨,涉及航空、保险、建筑、酒店、物流、科技等多个行业。 此次制裁名单中,两名加入柬埔寨籍的人士值得关注:一人是此前遭美国制裁的太子集团高管陈波的妻子何雨静(He Yujing),另一人此前被英国制裁,与小易支付(CoolCash)等企业有关联的庞伟志(Pang Visal)。 美国财政部指出,太子集团相关人员在此前遭到制裁后,仍通过转移资产、控制关联企业等方式,试图规避制裁并维持商业及金融活动。 美国财政部披露,自2025年10月美国首次对太子集团实施制裁以来,陈波已将其位于日本东京的一处豪宅转移至妻子何雨静(He Yujing)名下。 据了解,何雨静就是此前在网上炫富引发舆论关注的网红“静仙女”。此前舆论曾怀疑其是陈志妻子,但据《凤凰周刊》等报道,她其实…

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6 Nov 2026, 11:28 UTC112 viewsread 6 November 2026
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#泰国资讯:再抓获一名涉迪拜三人命案中国籍嫌犯,偷渡湄公河落网,身上查获5公斤依托咪酯 11月4日,泰国移民警方通报,一名29岁中国籍男子万传新(Wan Chuanxin),因涉嫌参与2026年6月发生在阿联酋迪拜的三人绑架杀害案,遭阿联酋当局通缉,已于10月6日在泰国廊开府被捕。 据警方通报,抓捕行动发生在廊开府蓬披赛县。当时,万传新乘坐长尾船从老挝一侧横渡湄公河,试图绕过正规口岸进入泰国。廊开移民局联合苏拉沙蒙里特特遣部队第2107游骑兵连展开行动,最终将其截获。 执法人员在检查其随身行李时,发现一袋约5公斤的白色粉末。经警方鉴定,该物质为依托咪酯(Etomidate),属于泰国法律规定的第二类精神药物。 目前,万传新在泰国面临两项指控,分别是未经许可入境泰国,以及未经授权持有第二类精神药物。 涉嫌参与迪拜三人绑架杀害案 泰国警方进一步调查发现,万传新已被阿联酋当局列入通缉名单,涉嫌伙同他人参与2026年6月发生在…

6 Nov 2026, 10:32 UTC120 viewsread 6 November 2026
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#菲律宾资讯:启动遣返行动,逾百名中国公民拟被送返厦门 11月6日,菲律宾消息: 菲律宾方面据称启动新一轮中国籍人员遣返行动,超过100名中国公民被押送至马尼拉尼诺·阿基诺国际机场,安排搭乘中国南方航空CZ5308航班返回中国厦门。 据相关消息,这批人员主要涉及菲律宾近期两次针对涉嫌非法网络博彩及网络诈骗窝点的执法行动。 其中,10月2日,菲律宾移民局联合国家调查局及军方,在三宝颜锡布格省(Zamboanga Sibugay)展开联合突袭,共逮捕244名外国人,其中大部分为中国籍人员。现场查获约3000部手机、78台电脑显示器、笔记本电脑及大量SIM卡。 10月12日,菲律宾移民局联合军方再次展开行动,突袭奎松市库包区(Cubao)一处涉嫌非法博彩及网络诈骗活动的场所,共逮捕76名外国人,其中包括74名中国籍人员及2名缅甸籍人员。 菲律宾移民局此前表示,相关被捕人员将依法接受调查及遣返程序,获得遣返令的人员还将被列入移…

6 Nov 2026, 10:28 UTC≈5,400 viewsread 6 November 2026
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6 Nov 2026, 09:47 UTC≈6,140 viewsread 6 November 2026
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#马来西亚资讯:马六甲移民局展开联合执法,31名外籍人员被捕 11月6日消息,马来西亚马六甲州移民局于11月5日展开联合执法行动,突击检查马六甲市 Taman Melaka Raya 和 Taman Kota Laksamana 两处地点,重点清查餐饮场所及建筑工地外籍员工住宿区。 此次行动分别以 Ops Kutip 和 Ops Selera 名义展开,执法人员共检查84名外籍人员,最终逮捕31人。行动期间,部分外籍人员试图逃跑,还有人躲藏在建筑物较高楼层内。执法人员随后利用无人机协助搜寻,最终将相关人员找出并控制。 行动结束后,31名被捕人员全部被押送至 Machap Umboo 移民拘留中心,接受进一步调查及处理。 马六甲移民局将继续加强执法力度,严查非法居留及非法务工等移民违法行为,并提醒雇主遵守外籍员工聘用及准证相关规定。 ———————————————— 📣欢迎加入东南亚华人交流群 🔗 https://t.m…

6 Nov 2026, 09:29 UTC192 viewsread 6 November 2026
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#网友反馈:金边市警察局集合了,准备前往各个地方进行打击行动,在金边的注意了。 ———————————————— 📣欢迎加入东南亚华人交流群 🔗 https://t.me/dnyhr0 📣西港日记/柬埔寨新闻资讯 🔗:https://t.me/xigang8I8 ✅广告招商投稿澄清爆料: @jpz8i8

6 Nov 2026, 09:26 UTC27 views1 reactionsread 6 November 2026
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😀😀😀😀😀😀 👌👌👌👌👌👌👌 1️⃣:日本签证:⚡️❤️❤️❤️ 日本🇯🇵驻马来西亚大使馆唯一授权,日本签证免去大使馆面试,三年、五年、10年多次签证。日本投资移民签证,高度人才签证、返签等。 2️⃣:大健康: 赴日干细胞治疗、医美、高端体检、全球最先进治疗癌症的BNCT癌症治疗技术(一次既愈)、医疗服务等。 3️⃣:在柬埔寨和日本两地业务: 进口日本干细胞、日本处方药、减肥药、保健品批发、日本进口香烟、日本清酒、日本威士忌山崎18年、山崎12年、响21年等!👍👍👍 4️⃣:柬单点上日本进口产品请输入:J&D日本商品店 5️⃣:发达国家签证: 美国、加拿大、韩国、澳大利亚、新西兰、法国、德国、欧盟申根29个成员国等签证!👍👍👍👍👍👍👍👍👍👍👍👍 6️⃣:日本各项服务 赴日各地考察旅行包车、专业翻译兼导游、房产中介服务、娱乐项目、日本处方药批发等。📢📢📢👍👍👍 7️⃣:瓦努阿图🇻🇺护照法案入籍最快45天拿到。 8️…

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5 Nov 2026, 15:11 UTC212 views1 reactionsread 6 November 2026
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#群友爆料:此人是西港绑匪(外号:文虎),在西港星际赌场168团队阿明手下出码,国内红通。 2025年,通过发小关系投靠代理。不会敲键盘后,代理不管死活,吃饭都吃不饱,还是我每天好心地给你买东西吃。后面带你一起去财通敲键盘,代理不给你预支,还要我给你钱。我看你可怜,没钱,还借钱给你。结果敲了三天,受不了,代理把你搞出去。 又是我朋友给你介绍的人,带你出码。到了我朋友那里,你就靠破坏老板和我朋友之间的关系,得到老板的信任。 后面汇旺出事,说可以在赌场搞价,把汇旺的钱搞出来。代理和我朋友把钱给你,换好的钱你自己吃了,却和我们说换不了。 我还给你介绍富婆女朋友,结果你却和人家说,来了柬埔寨,不管是谁,只要得罪了你,你就杀了谁,就算带你出码的阿明夫妇也一样。 后面我好心让你带人去赚钱,没想到你还把我和我朋友绑了。恩将仇报的败类! ———————————————— 📣欢迎加入东南亚华人交流群 🔗 https://t.me/dn…

❤1

5 Nov 2026, 14:36 UTC767 viewsread 6 November 2026
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#群友反馈:今晚吉隆坡过12点大检查,各单位注意了! ———————————————— 📣欢迎加入东南亚华人交流群 🔗 https://t.me/dnyhr0 📣西港日记/柬埔寨新闻资讯 🔗:https://t.me/xigang8I8 ✅广告招商投稿澄清爆料: @jpz8i8

Showing the 12 most recent of 1,524 posts we hold for @xigang8I8. 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 15 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.

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.

西港日记|柬埔寨大事件
@jianpuzhaidashijian · 44,108
#1
东南亚大事件 @svip
@bx666 · 462,295
#2
柬埔寨華人信息
@jpz_888 · 12,230
#3
西港日记 柬埔寨通
@xigang6 · 4,226
#4
柬埔寨大事件|柬埔寨新闻|The Cambodia生活资讯
@jpz39 · 13,753
#5
柬埔寨新闻|华人资讯曝光|cambodia news
@jianpuzhaihuarenzixun · 73,154
#6
东南亚大事件-聚焦时事 @TX100
@tx100 · 148,702
#7
缅北悬赏通缉令(吃瓜)❖盈丰娱乐冠名🅥
@DNYTJL3 · 86,023
#8
东南亚曝光吧(吃瓜)
@SB919 · 122,936
#9
西港日记|柬埔寨大事件|东南亚大事件
@xigangz · 94,404
#10
柬埔寨大事件 @blj77
@blj77 · 166,337
#11
迪拜大事件|迪拜新闻|Dubai生活资讯攻略
@dubai0 · 88,858
#12
海华大事件❖6U.com娱乐首选🅥
@bx777 · 30,102
#13
西港日记-柬埔寨通@NMSL
@baoguang7 · 38,862
#14
西港新闻/西港生活/西港聊天群/西港外卖群
@xigangB6 · 542
#15
东南亚大事件|柬埔寨新闻|头号玩家生活资讯
@dny12378 · 68,912
#16
金边华人|柬埔寨大事件|东南亚大事件
@jinbianyy · 26,618
#17
西港日记 / 东南亚新闻
@xigang13 · 58,172
#18
🔥诚盈 💰汽车租赁、抵押、回收🐟
@CYqichechuxing888 · 1,219
#19
东南亚闯荡记🪐
@ac666 · 308,544
#20
海外大事件 @USD1
@usd1 · 253,944 (as read 24 August 2026)
#21
东南亚挨打日记
@pyzcn · 215,340
#22
《🙋‍♀️柬埔寨吃瓜》每日吃瓜 |吃瓜频道
@aii88 · 10,439
#23
东南亚大事件 东南亚新闻 东南亚曝光
@jpzso · 190,046
#24
内涵搞笑🫥
@chiguahs · 109,066
#25
东南亚|曝光|吃瓜|寻人
@jinbian8 · 43,924
#26
柬埔寨新闻大事件
@jpz9118 · 73,624
#27
海外素材库
@sucai1 · 58,918
#28
西港租房168🏡(低价房源多)频道
@xigangzufang168 · 1,511
#29
利他地产💁‍♀️西港别墅#一手公寓,别墅,房东直租,无中介费租房
@bb998888 · 2,804
#30
木牌头条(二群)
@mupai77 · 4,117
#31
「DJ十七音乐私人订制」金富德州 @JFDZ 冠名
@dj17 · 71,534
#32
西港租房(最全房源) 频道
@xigangzufang888 · 2,100
#33
🔥西港房地租售信息网 💰诚盈实业🐟
@CYfangchan888 · 1,353
#34
DJ阿肖音乐频道
@DjAXRemix · 10,319
#35
台灣 素材群
@taiwantuku111 · 9,195
#36
西港租房!
@xigangzufang666 · 8,007
#37
电影频道【SOTV】
@cctv1 · 307,578
#38

Read from Telegram’s recommendation API, most recently 24 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.

金边日记|西港|暹粒|吴哥|木牌
@jinbian818 · 44,079
Telegram ranks this channel #8 of 22 here — alongside 21 others — read 25 August 2026
西港日记|柬埔寨大事件
@jianpuzhaidashijian · 44,108
Telegram ranks this channel #11 of 44 here — alongside 43 others — read 27 August 2026
西港日记-柬埔寨通@NMSL
@baoguang7 · 38,862
Telegram ranks this channel #14 of 35 here — alongside 34 others — read 24 August 2026
东南亚|曝光|吃瓜|寻人
@jinbian8 · 43,924
Telegram ranks this channel #29 of 41 here — alongside 40 others — read 25 August 2026

This channel appears in 4 seed channels' Telegram-generated recommendation lists in total. 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 6 November 2026 — this entry's latest reading, not the date you are reading this.

“西港日记/柬埔寨新闻资讯” (@xigang8I8), 145,796 subscribers as measured 6 November 2026. Telegram Register, tgregister.com/channel/xigang8I8.

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.