Channel
@XJP_199
On this record: Topic · Observations · Also posting the same content · Growth · Engagement · Posts · Citations · Cite this entry
958subscribers
+8 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1003061605915 |
|---|---|
| Type | Channel |
| Username | @XJP_199 |
| Created | Between 1 August 2025 and 31 October 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 7 August 2026 |
| Measurements held | 2 |
| Confirmed unchanged | 1 time, most recently 7 August 2026 |
| On Telegram | t.me/XJP_199 |
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 11 August 2026 and assigned it the closest of 31 fixed categories, at 93% 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.
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.
Posts published here appear word for word on 3 other registered channels. They sit inside a group of 6 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.
| Posted first | Then | Overlap | Gap |
|---|---|---|---|
| @xinjiapo199/46535 Aug 2026, 08:00 UTC | @XJP_199/4846 · this entry5 Aug 2026, 08:00 UTC | 1.00 | under a minute |
| @xinjiapo199/46545 Aug 2026, 08:00 UTC | @XJP_199/4847 · this entry5 Aug 2026, 08:00 UTC | 1.00 | under a minute |
| @xinjiapo199/46596 Aug 2026, 08:29 UTC | @XJP_199/4852 · this entry6 Aug 2026, 10:12 UTC | 1.00 | 1.7 hours |
| @xinjiapo199/46606 Aug 2026, 10:11 UTC | @XJP_199/4853 · this entry6 Aug 2026, 10:12 UTC | 1.00 | under a minute |
| @xinjiapo199/46646 Aug 2026, 10:11 UTC | @XJP_199/4857 · this entry6 Aug 2026, 10:12 UTC | 1.00 | under a minute |
| @xinjiapo199/46676 Aug 2026, 10:11 UTC | @XJP_199/4860 · this entry6 Aug 2026, 10:12 UTC | 1.00 | under a minute |
| Channel | Matching posts | Text overlap | Typical gap | Published first |
|---|---|---|---|---|
| @xinjiapo199 | 16 (7/8 hand-verifiable sample passed) | 1.00 | under a minute | @xinjiapo199 (16–0) |
| @xinwen663 | 6 (5/6 hand-verifiable sample passed) | 1.00 | 4 minutes | this entry (6–0) |
| @YN_599 | 6 (5/6 hand-verifiable sample passed) | 1.00 | 5 minutes | this entry (6–0) |
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. 8 of the 16 matches recorded here fall after that date and carried no header when we read them. The rest predate reliable capture and are not evidence either way.
“Published first” means first in this corpus. We hold 20 comparable posts for this entry, running 5 August 2026 to 6 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.
Across the whole group of 6, the earliest publisher we hold is @xinjiapo199. 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.
This channel’s posts match, word for word or near enough, posts on 5 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.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 7 Aug 2026, 14:36 | 958 | +8 |
| 6 Aug 2026, 19:48 | 950 | first reading |
20 posts held, back to 5 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 1 pageof Telegram’s post history, 20 posts per page.
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.
| Window | Rolling 30 days · latest post in window 6 August 2026 |
|---|---|
| Posts held | 20 (5 August 2026 – 6 August 2026) |
| Views total | 24 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 6 Aug 2026, 19:48 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.
#新加坡资讯：警方捣毁涉嫌非法网络赌博集团 九人落网 涉设空壳公司洗钱 新加坡警方近日展开为期三天的联合执法行动，成功侦破一个涉嫌经营非法网络赌博平台的犯罪集团，共逮捕9名嫌犯，并冻结超过3.9万新元疑似犯罪所得。 据了解，落网的9名嫌犯包括7男2女，年龄介于17岁至55岁之间。警方相信，他们涉嫌为名为“GemBet”的非法网络赌博平台提供协助，通过成立空壳公司及开设企业银行账户，为赌博资金提供流转渠道。 此次行动由新加坡警察部队刑事侦查局联合兀兰警署及东陵警署展开，突击搜查范围涵盖裕廊上路、裕廊西、榜鹅、芽笼、冷角峇鲁及大巴窑等多个地点。 警方调查发现，其中6名嫌犯涉嫌利用个人SingPass账号向会计与企业监管局（ACRA）注册公司，并随后开设企业银行账户，再将公司控制权及网上银行资料交予犯罪集团使用。另外3名嫌犯则被指充当中间人，协助集团收购空壳公司及企业账户。 行动期间，警方共发现与6家空壳公司相关的9个企业银…
台湾钨业董座离奇遇害案告破，前员工偷窃败露行凶杀人 近期屏东县枋寮乡发生一起惨烈命案，京沅钨业56岁董事长黄圣玹在家中遭捆绑殴打身亡。该案初期因现场监视器全毁、涉战略金属行业，引发诸多阴谋论猜测。警方排查感情、经商纠纷及熟人作案三大方向，锁定一名离职林姓员工。 警方追查可疑无牌车辆，确认系该前员工所有，并于8月4日在台中将其抓获。嫌犯交代，因经济拮据熟门熟路入室盗窃，不料撞上屋主，争执扭打后行凶灭口。目前嫌犯依强盗、杀人罪遭声押禁见。
#企图运87公斤冰毒到大马3大马人在合艾火车站被捕 3名大马公民在行李箱和背包内藏匿87公斤冰毒，试图将毒品运送进入马来西亚，昨日在泰国合艾被当地警方逮捕。 这三名嫌犯是在乘坐火车从泰国曼谷前往合艾，在三个拉杆行李箱和三个双肩背包中，发现了87公斤的晶体脱氧麻黄碱（俗称冰毒），价值约430万令吉。 初步调查显示，这三人受雇将冰毒运送给马来西亚贩毒集团，每人分别获得8000令吉，作为将毒品运送至指定地点的报酬。
#国内资讯 福建晋江上半年电诈警情下降近三成，追回返还被骗资金3792万元 8月4日公布的数据显示，2026年上半年，福建晋江市电信网络诈骗警情数量同比下降28.8%，群众被骗损失金额同比下降32.4%。 在电诈警情和损失金额持续下降的同时，晋江市电诈案件破案率同比上升43.7%，抓获犯罪嫌疑人数同比上升31%。 2025年以来，晋江警方已累计追回并返还群众被骗资金3792万元。
#跨国犯罪 #人口贩运 #司法严惩 一部《角头》电影里的临时演员，在现实中扮演了远比剧本更残酷的角色——人口贩运集团的核心成员。竹联帮东堂成员李振豪以酒店老板身份为掩护，在疫情冲击下转向人口贩运，通过社交平台诱骗88名台湾民众赴柬埔寨，转卖至电诈园区。每卖一人获利1.7万美元，85人被送出境外，部分受害者遭受殴打和限制自由。台湾司法系统两案各判18年，合计36年，虽然合并执行最高30年，但已是人口贩运案件中的重刑。这起案件的警示不仅在于个人恶行，更在于它暴露的黑色产业链：从虚假招聘、证件办理、跨境转运到电诈园区，每一个环节都有人为之“服务”。李振豪的落网，只是这条链条上的一个断点。要真正斩断人口贩运，还需要更多跨国协作和源头治理。
新加坡内政部MHA 8月4日国会公示法案 2026年8月4日，新加坡内政部正式向国会提交《诈骗（应对措施）及其他事务法案》一读，法条内容具备官方明确依据。 新法落地后，新加坡警方将被赋予两项核心执法权限：一是强制要求TikTok、微信、Telegram、谷歌等全网社交平台，移交涉诈账号全部后台隐私数据；二是直接下达指令，关停用于跨境诈骗的账户。 法案明确硬性处罚规则：网络平台单次拒不配合反诈指令，最高将被处以1000万新加坡元罚款；若收到整改通知后依旧拖延，还会叠加每日最高30万新元的持续罚金。 这套高压监管机制，会从源头斩断东南亚跨境电信诈骗赖以生存的线上引流、资金流转、账号运维链条，大幅度压缩境外电诈团伙的灰色生存空间。
#新加坡资讯：警方捣毁涉嫌非法网络赌博集团 九人落网 涉设空壳公司洗钱 新加坡警方近日展开为期三天的联合执法行动，成功侦破一个涉嫌经营非法网络赌博平台的犯罪集团，共逮捕9名嫌犯，并冻结超过3.9万新元疑似犯罪所得。 据了解，落网的9名嫌犯包括7男2女，年龄介于17岁至55岁之间。警方相信，他们涉嫌为名为“GemBet”的非法网络赌博平台提供协助，通过成立空壳公司及开设企业银行账户，为赌博资金提供流转渠道。 此次行动由新加坡警察部队刑事侦查局联合兀兰警署及东陵警署展开，突击搜查范围涵盖裕廊上路、裕廊西、榜鹅、芽笼、冷角峇鲁及大巴窑等多个地点。 警方调查发现，其中6名嫌犯涉嫌利用个人SingPass账号向会计与企业监管局（ACRA）注册公司，并随后开设企业银行账户，再将公司控制权及网上银行资料交予犯罪集团使用。另外3名嫌犯则被指充当中间人，协助集团收购空壳公司及企业账户。 行动期间，警方共发现与6家空壳公司相关的9个企业银…
香港荃湾展开扫黄行动，13名内地女子涉违规逗留被捕 8月5日，荃湾警区联同相关部门，根据线报部署代号“岭马”的专项扫黄行动。执法人员突击巡查川龙街、兆和街等多处闹市街区，一举拘捕13名内地女子，年龄介于34至55岁。 经查，涉案人员均持双程证赴港，涉嫌违反逗留条件。目前13人已被警方扣留调查，案件后续将交由相关部门进一步跟进处理。
#国内资讯：免费约会变刷单骗局 男子被骗4万又送2万现金 吉林四平居民小李在社交平台看到异性交友广告，下载一款陌生聊天软件。对方称可免费安排当地女子约会，但要先完成三次“保密认证”。 小李前两次转账20元和100元后均收到退款，第三次转账1200元时，对方却以返款失败、账号异常为由，诱导他继续充值。为了拿回本金，小李借网贷陆续转出约4万元。 骗子随后要求他再交4万元。小李从四平赶到长春，将2万元现金放在指定路标牌下，并准备把剩余2.2万元存入指定账户。 长春警方接到线索后，一路拦截小李，一路追查取走现金的男子。嫌疑人驾车逃跑并故意刹车引发追尾，最终被警方在四平家中抓获，2万元现金被追回。 经查，该男子通过境外聊天软件接单，充当诈骗团伙“车手”，每单获利400元，目前已被采取刑事强制措施。 警方共帮助小李避免进一步损失4.2万元，其此前转出的约4万元仍在追查中
#国内资讯：广东打掉特大虚假助贷诈骗团伙，106人落网 8月3日，广东警方公布一起特大虚假助贷诈骗案。近期，广东省公安厅组织梅州警方分批收网，打掉一个由线上引流、线下助贷公司和话务端组成的诈骗团伙，共抓获106名嫌疑人，涉案金额超过380万元。 该团伙冒充银行发送贷款信息，专门寻找重病人员、老年人、失业人员等急需用钱的群体，再把他们引到注册正规的线下助贷公司。 工作人员谎称有“内部贷款渠道”，可以帮助办理低息、大额贷款，并以“风险管理金”“资料费”等名义收钱。 部分受害者被收取贷款金额25%的费用。对于无法办理大额贷款的人，团伙仍会按照意向贷款金额的1%至2%收取资料费，随后再以审核未通过为由拒绝办理。 警方查明，这些公司并没有所谓的内部贷款渠道，也没有提供真实贷款服务。遇到受害者报警或维权时，团伙还会退还部分费用，试图把诈骗包装成普通贷款纠纷。目前，案件正在进一步侦办中
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Showing the 12 most recent of 20 posts we hold for @XJP_199. 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.
Citation-graph rank — 298,570 of 1,151,006entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.
Named by 22 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.
Named by
Channels on the register whose posts name this channel's handle.
Names
Channels on the register whose handles appear in this channel's 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.
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 August 2026 — this entry's latest reading, not the date you are reading this.
“新加坡新闻🪻” (@XJP_199), 958 subscribers as measured 7 August 2026. Telegram Register, tgregister.com/channel/XJP_199.
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.