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Telegram profile photo for 西港日记|西港大事件

Channel

西港日记|西港大事件

@xigangriji

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

13,127subscribers

-153 since we began measuring on 7 August 2026

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

Register entry

Telegram ID-1002687907584
TypeChannel
Username@xigangriji
Description⚠️《西港日记》唯一频道ID:@xigangrij (西港日记)其他均为盗版。 本频道为《西港日记》官方唯一电报频道,聚焦西港,关注柬埔寨及东南亚新闻资讯,大事小情,全天滚动。 投稿爆料/广告合作:@DV044
CreatedBetween 1 March 2025 and 31 July 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live7 November 2026
Measurements held60
Confirmed unchanged1 time, most recently 7 November 2026
On Telegramt.me/xigangriji

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 77% 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 4 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
@xigangriji/40683 · this entry7 Aug 2026, 13:29 UTC@WGSB001/411357 Aug 2026, 13:29 UTC1.00under a minute
@xigangriji/40686 · this entry7 Aug 2026, 13:47 UTC@WGSB001/411387 Aug 2026, 13:47 UTC1.00under a minute
@xigangriji/40688 · this entry7 Aug 2026, 14:04 UTC@WGSB001/411407 Aug 2026, 14:04 UTC1.00under a minute
@xigangriji/40689 · this entry7 Aug 2026, 14:20 UTC@WGSB001/411417 Aug 2026, 14:20 UTC1.00under a minute
@xigangriji/40693 · this entry7 Aug 2026, 15:03 UTC@WGSB001/411457 Aug 2026, 15:04 UTC1.00under a minute
@xigangriji/40698 · this entry7 Aug 2026, 16:18 UTC@WGSB001/411507 Aug 2026, 16:18 UTC1.00under a minute
Every channel this entry shares post bodies with
ChannelMatching postsText overlapTypical gapPublished first
@WGSB0019 (8/8 hand-verifiable sample passed)1.00under a minutethis entry (9–0)
@xigangriji8187 (7/7 hand-verifiable sample passed)1.00under a minute@xigangriji818 (6–1)
@ac6657 (7/7 hand-verifiable sample passed)1.00under a minutethis entry (4–3)
@huarendashijian7 (7/7 hand-verifiable sample passed)1.00under a minute@huarendashijian (5–2)

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. 14 of the 14 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 10 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 5, the earliest publisher we hold is @xigangriji818. That is a statement about our reading window, not a claim of authorship.

Recorded under the keys clone_copy · clone_mutual · 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 4 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

10,23924,70717,4737 August 2026 — 13,280 subscribers8 August 2026 — 12,915 subscribers9 August 2026 — 12,736 subscribers10 August 2026 — 24,707 subscribers12 August 2026 — 24,349 subscribers12 August 2026 — 24,212 subscribers14 August 2026 — 24,032 subscribers15 August 2026 — 23,833 subscribers17 August 2026 — 23,381 subscribers18 August 2026 — 23,215 subscribers19 August 2026 — 23,112 subscribers20 August 2026 — 22,988 subscribers21 August 2026 — 22,942 subscribers23 August 2026 — 22,830 subscribers24 August 2026 — 22,688 subscribers25 August 2026 — 22,541 subscribers26 August 2026 — 22,479 subscribers27 August 2026 — 22,433 subscribers28 August 2026 — 22,390 subscribers29 August 2026 — 22,184 subscribers30 August 2026 — 21,994 subscribers31 August 2026 — 21,913 subscribers1 September 2026 — 21,807 subscribers2 September 2026 — 21,694 subscribers3 September 2026 — 21,636 subscribers5 September 2026 — 21,537 subscribers9 September 2026 — 21,359 subscribers11 September 2026 — 20,959 subscribers13 September 2026 — 20,573 subscribers15 September 2026 — 19,528 subscribers17 September 2026 — 18,858 subscribers19 September 2026 — 17,896 subscribers26 September 2026 — 15,038 subscribers4 October 2026 — 12,610 subscribers9 October 2026 — 11,580 subscribers13 October 2026 — 10,951 subscribers14 October 2026 — 10,533 subscribers15 October 2026 — 10,383 subscribers16 October 2026 — 10,239 subscribers17 October 2026 — 10,455 subscribers18 October 2026 — 13,774 subscribers19 October 2026 — 14,724 subscribers20 October 2026 — 14,649 subscribers21 October 2026 — 14,596 subscribers23 October 2026 — 14,486 subscribers24 October 2026 — 14,392 subscribers25 October 2026 — 13,867 subscribers26 October 2026 — 13,788 subscribers27 October 2026 — 13,637 subscribers28 October 2026 — 13,580 subscribers29 October 2026 — 13,544 subscribers30 October 2026 — 13,408 subscribers31 October 2026 — 13,250 subscribers1 November 2026 — 13,187 subscribers2 November 2026 — 13,168 subscribers3 November 2026 — 13,166 subscribers4 November 2026 — 13,162 subscribers5 November 2026 — 13,155 subscribers6 November 2026 — 13,139 subscribers7 November 2026 — 13,127 subscribers13,1277 August 20267 November 2026
60 measurements spanning 92 days, net -153. 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 8,069–26,877 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 60
Measured (UTC)SubscribersChange
7 Nov 2026, 17:0013,127-12
6 Nov 2026, 14:0813,139-16
5 Nov 2026, 12:4413,155-7
4 Nov 2026, 09:2913,162-4
3 Nov 2026, 10:1013,166-2
2 Nov 2026, 07:2613,168-19
1 Nov 2026, 07:0013,187-63
31 Oct 2026, 06:5513,250-158
30 Oct 2026, 06:0813,408-136
29 Oct 2026, 04:3913,544-36
28 Oct 2026, 04:3513,580-57
27 Oct 2026, 04:5513,637-151
26 Oct 2026, 01:3813,788-79
25 Oct 2026, 03:1913,867-525
24 Oct 2026, 02:2514,392-94
23 Oct 2026, 00:5714,486-110
21 Oct 2026, 22:0914,596-53
20 Oct 2026, 13:4814,649-75
19 Oct 2026, 10:3414,724+950
18 Oct 2026, 13:4613,774first reading

Engagement

754 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 67 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
5.20%
avg views ÷ 13,127 subscribers
Avg views / post
683
128 posts measured
Reaction rate
0.211%
reactions ÷ views · ER floor
Posts in window
128
of 754 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 1 of 128 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 held754 (7 August 2026 – 8 November 2026)
Views total87,399
Reactions total1
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken8 Nov 2026, 07:00 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
≈38,300
Videos
≈8,640
Links
≈4,280

Lifetime counters from Telegram’s own channel header, read 8 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
2h 36m
Average length
35s

Measured directly from 265 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

2 reactions across 2 posts, in 1 kind.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤2100.0%

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 10 of the 754 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 2 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 754 most recent posts we hold, published 7 August 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: 0 of 128 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).

8 Nov 2026, 06:56 UTC386 viewsread 8 November 2026
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柬埔寨国家艾滋病管理局辟谣:不存在艾滋病疫情暴发 今天,柬埔寨国家艾滋病管理局发布通告,驳斥近期社交媒体上关于“柬埔寨艾滋病疫情再度暴发”的传言。通告指出,根据卫生部监测与评估系统数据,柬埔寨并未出现艾滋病暴发情况,网传消息纯属虚假信息。 数据显示,柬埔寨防艾工作成效显著,每年新增感染病例已从上世纪90年代的1.7万至2.5万例,大幅下降至2025年的960例。 目前,柬埔寨已实现“89-100-98”的阶段性防治成果,感染者可享受终身免费治疗。当局呼吁高危人群(尤其是年轻男同性恋群体)积极前往医疗机构检测,或扫码免费申领自检试剂盒。&& 📣 东南亚新闻实时播报 👉 投稿商务: @DV044

8 Nov 2026, 06:42 UTC575 viewsread 8 November 2026
Video

巴域电诈窝点遭突查,衣柜后竟藏着地下通道! 几天前,柬埔寨柴桢省执法部门突查巴域市一处涉嫌网络诈骗的场所,现场发现衣柜后面竟然藏着一条秘密地下通道! 📣 东南亚新闻实时播报 👉 投稿商务: @DV044

8 Nov 2026, 06:15 UTC173 viewsread 8 November 2026
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#泰国资讯 11月8日上午,据当地消息,泰国有关部门在春武里府展开执法行动,现场有不少非法务工人员被抓。 提醒在当地没有合法工作手续的柬埔寨同胞多加注意,及时了解相关情况。 📣 东南亚新闻实时播报 👉 投稿商务: @DV044

8 Nov 2026, 06:00 UTC169 viewsread 8 November 2026
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金边一保安割喉自杀身亡 昨天深夜11时25分,金边市隆边区四臂湾分区苏他罗大道发生一起命案。一名负责看守某处废弃店铺的男性保安,不知何故用小刀割喉自杀,最终倒毙在自己值守的店铺门前,引发周边民众震惊。 接报后,当地警方迅速赶赴现场拉起警戒线封锁区域,并通知金边市警察局法医及技术鉴证专家到场进行勘验,目前正就具体原因展开进一步调查。 📣 东南亚新闻实时播报 👉 投稿商务: @DV044

8 Nov 2026, 05:43 UTC≈1,060 viewsread 8 November 2026
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柬埔寨向46名外交代表通报反诈进展:园区被查,诈骗团伙换地方? 11月8日,柬埔寨高级部长兼打击网络诈骗委员会秘书处负责人蔡西那烈在金边向46名外交官及国际组织代表通报柬埔寨打击网络诈骗行动的最新进展,并介绍下一阶段工作方向。 柬埔寨政府表示,将继续通过加强执法、司法追责和国际合作,严厉打击网络诈骗团伙及其背后的犯罪网络,防止诈骗活动死灰复燃。 据官方数据,2025年7月至2026年8月底,柬埔寨执法部门已检查832处涉嫌网络诈骗地点,对其中663处采取打击行动,并控制86处大型诈骗园区。 不过,反诈行动也面临新挑战。蔡西那烈此前透露,随着大型诈骗园区受到打击,部分诈骗活动开始转向出租屋、公寓和私人住宅,变得更加分散和隐蔽。 简单来说,大园区被查,小场所又成了新目标。诈骗团伙也在不断换地方、换方式,执法部门自然不能松懈。 柬埔寨政府强调,打击跨国网络诈骗不能只靠一国单打独斗,还需要各国加强情报共享、跨境调查和执法合作…

8 Nov 2026, 05:23 UTC169 viewsread 8 November 2026
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金边又发现一具浮尸 今天上午,金边再次有人发现一具漂浮在水中的遗体,目前死者身份尚未确认,相关部门也尚未找到并打捞遗体。 据投稿人称,从背影来看,死者看起来很像中国人,但这一说法尚未得到证实。 有没有人能通过背影辨认出死者的身份? 📣 东南亚新闻实时播报 👉 投稿商务: @DV044

8 Nov 2026, 05:10 UTC987 viewsread 8 November 2026
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#畜生 恶劣诱骗性侵案曝光!男子假意邀约用餐 将七旬老妇带至树林施暴被捕 2026年11月7日,泰国彭世洛府警方对外通报一起性质恶劣的性侵犯罪案件。当地一名33岁男子利用虚假善意诱骗高龄老人,将74岁老妇带至偏僻树林实施性侵,行径极度恶劣引发社会谴责,目前涉案嫌疑人已被警方成功抓捕归案,案件进入依法侦办流程。 据警方详细披露,该案事发于彭世洛府直辖县辖区。涉案男子在受害老妇住宅附近主动搭讪搭讪,以邀约外出用餐为善意借口,哄骗年迈老人搭乘自己的摩托车。得手后嫌疑人并未按照承诺前往餐馆,而是刻意驱车前往楠河沿岸一处荒僻树林,利用地点偏僻无人的环境,对七旬老妇实施性侵犯罪。 案件曝光后,当地警方迅速启动侦查溯源工作,调取事发沿线道路闭路监控影像。监控画面清晰记录下嫌疑人骑摩托车搭载老妇驶入树林区域,后续却独自驾车折返的反常轨迹。警方凭借关键监控线索精准锁定嫌疑人身份,迅速落地实施抓捕行动。 经警方核实,落网33岁涉案男子为当…

8 Nov 2026, 04:54 UTC≈1,030 viewsread 8 November 2026
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沈良西到了日本 昨天,流亡的柬埔寨前反对派领袖沈良西抵达日本,部分支持者在机场迎接。据悉,沈良西此次到日本,是出席反对派在当地举办的相关活动。 洪森:有种飞金边来! 📣 东南亚新闻实时播报 👉 投稿商务: @DV044

8 Nov 2026, 04:25 UTC968 viewsread 8 November 2026
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#缅甸资讯:妙瓦底网络诈骗园区救出1名印度籍受害者,另有21名乌干达公民获救等待遣返 11月8日,缅甸克伦邦妙瓦底一处网络诈骗园区内,一名遭人口贩卖和强迫劳动的印度籍男子 Anmol Senchewry 成功获救,但因遭受殴打导致手臂骨折、头部受伤及多处伤势,目前正在印度新德里医院接受治疗。 据悉,该男子此前通过网络应聘呼叫中心工作,8月22日前往泰国后,被中介人员带至缅甸并转交诈骗团伙,期间每天被迫工作17至18小时,护照和SIM卡遭扣押,团伙还向其索要60万印度卢比赎金。 在家属向印度议员及外交部门求助后,印度驻缅甸使馆与缅甸相关部门展开协调,最终成功营救该男子,并经泰国转送回印度,于10月29日抵达新德里。 与此同时,乌干达政府宣布,已成功营救21名在缅甸网络诈骗园区遭人口贩卖和强迫劳动的乌干达公民,目前正与缅甸方面进行最后阶段的协调,计划于下周安排他们从仰光启程回国。 乌干达政府表示,受害者大多是被高薪工作诱骗…

8 Nov 2026, 04:01 UTC935 viewsread 8 November 2026
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🇹🇭 泰国芭堤雅警方破获跨国跑分诈骗团伙,8名中国、泰国籍人员落网! 11月5日,泰国第二警区警方在芭堤雅市中心一处公寓开展突击抓捕行动,打掉一个由泰籍、中国籍人员勾结的跨国诈骗跑分团伙,共抓获8名嫌疑人。 据警方通报,第二警区调查部门接到线索,获悉外籍人员与泰国本地人勾结,利用网络实施诈骗,随即调集反网络诈骗中心警力,持法院搜查令对涉事公寓开展清查。 本次行动共抓获嫌疑人8名,其中泰国籍5人、中国籍3人。现场查获银行存折22本、ATM卡35张、SIM卡28张、手机19部、笔记本电脑3台,另查获2.71克冰毒。 初步调查显示,该团伙涉嫌长期买卖银行账户、银行卡,用于接收、转移非法资金,关联泰国多地诈骗案件,涉案总损失超1亿泰铢。线索显示,诈骗赃款被兑换为加密货币,经由币安、Bitkub、Maxbit、imToken等平台及多个钱包多层流转,以此隐匿资金轨迹,规避追查。 目前,8名嫌疑人已被提起指控,涉嫌为犯罪提供账户,…

8 Nov 2026, 03:10 UTC≈1,030 viewsread 8 November 2026
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#网友投稿:马来西亚槟城大山脚,凌晨时候抓了80多名印尼外劳和几个中国人。最近全马执法行动很频繁,各位狗推小心呀。 📣 东南亚新闻实时播报 👉 投稿商务: @DV044

7 Nov 2026, 16:48 UTC≈1,010 viewsread 8 November 2026
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#国内新闻 江苏男子直播间投资尾货被骗17万元,警方追查牵出百万元诈骗案 11月7日,江苏连云港灌南县警方侦破一起网络投资诈骗案。一名男子通过直播间虚构库存尾货投资项目,先以小额返利取得信任,再诱骗受害人追加资金。警方进一步调查发现,该案涉及全国多地7名受害人,累计被骗100余万元。 4月21日,灌南县居民鲍某在直播间看到主播高某招募小商品库存尾货投资合伙人,宣称投资少、回报快。鲍某先投入少量资金并顺利收到返利,随后不断追加投资,累计转账17万余元。 当鲍某要求返利时,高某以商家未发货、尚未结算等理由拖延,随后将其拉黑。警方接报后抓获高某,但高某拒绝交代犯罪事实。 办案民警通过银行流水及聊天记录发现,鲍某的投资款并未用于商品经营,而是被转入第三方账户,部分资金流向网络赌博。 警方随后扩大调查,在浙江、安徽、河南等地又找到6名受害人,查明高某骗取的100余万元均被用于网络赌博或变现。 目前,高某已被灌南县检察院依法批准…

Showing the 12 most recent of 754 posts we hold for @xigangriji. View and reaction counts are the latest single reading for each post, not a live figure, and a recent post is still accumulating both. A view count marked ≈ was rounded by Telegram before we ever saw it — t.me prints views in full below 1,000 and to three significant figures above, so ≈1,200,000 means somewhere between 1,150,000 and 1,249,999. Unmarked counts are exact. Text is reproduced from the public post preview and truncated for length.

Mentions

A mention is a weaker signal than a forward and is counted separately for that reason — naming a channel is not republishing it, and a handle in a post body is easy to place deliberately. The post counts beside each row below are distinct posts in which the handle appeared, from posts we have read on both sides — the “Named by N registered channels” figure above is a different count, of distinct NAMING CHANNELS rather than posts, and is not the sum of the rows under it.

Cite this entry

A live page changes as we take new readings, so a citation should name the measurement it is based on, not just the URL. The line below cites the subscriber count as measured 7 November 2026 — this entry's latest reading, not the date you are reading this.

“西港日记|西港大事件” (@xigangriji), 13,127 subscribers as measured 7 November 2026. Telegram Register, tgregister.com/channel/xigangriji.

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.