Channel
@JPZ_99
On this record: Topic · Observations · Also posting the same content · Growth · Engagement · Posts · Citations · Cite this entry
875subscribers
-1 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1002899281823 |
|---|---|
| Type | Channel |
| Username | @JPZ_99 |
| Created | Between 1 July 2025 and 30 September 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 | 3 |
| Confirmed unchanged | 1 time, most recently 7 August 2026 |
| On Telegram | t.me/JPZ_99 |
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 100% 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 1 other registered channel. 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 |
|---|---|---|---|
| @jianpuzhai177/60935 Aug 2026, 07:56 UTC | @JPZ_99/6232 · this entry5 Aug 2026, 07:57 UTC | 1.00 | under a minute |
| @jianpuzhai177/60995 Aug 2026, 07:56 UTC | @JPZ_99/6238 · this entry5 Aug 2026, 07:57 UTC | 1.00 | under a minute |
| @jianpuzhai177/61066 Aug 2026, 10:06 UTC | @JPZ_99/6245 · this entry6 Aug 2026, 10:06 UTC | 1.00 | under a minute |
| @jianpuzhai177/61076 Aug 2026, 10:06 UTC | @JPZ_99/6246 · this entry6 Aug 2026, 10:06 UTC | 1.00 | under a minute |
| @jianpuzhai177/61086 Aug 2026, 10:06 UTC | @JPZ_99/6247 · this entry6 Aug 2026, 10:06 UTC | 1.00 | under a minute |
| @jianpuzhai177/61116 Aug 2026, 10:06 UTC | @JPZ_99/6250 · this entry6 Aug 2026, 10:06 UTC | 1.00 | under a minute |
| Channel | Matching posts | Text overlap | Typical gap | Published first |
|---|---|---|---|---|
| @jianpuzhai177 | 18 (6/8 hand-verifiable sample passed) | 1.00 | under a minute | @jianpuzhai177 (18–0) |
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. 10 of the 18 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 2, the earliest publisher we hold is @jianpuzhai177. That is a statement about our reading window, not a claim of authorship.
Recorded under the key clone_copy, 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 1 other registered channel, 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, 17:10 | 875 | -1 |
| 6 Aug 2026, 19:50 | 876 | no change |
| 6 Aug 2026, 19:49 | 876 | 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 | 48 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 6 Aug 2026, 19:50 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.
柬埔寨菩萨省执法遇袭 嫌疑人引爆炸弹致五死两伤 2026年8月5日晚间，柬埔寨菩萨省瓦尔文县奥索姆乡突发炸弹爆炸惨案，事故最终造成五人遇难、两人受伤，现场情况惨烈。 事发前，当地警方接获举报，辖区内存在家庭暴力及吸毒违法问题，同时收到相关受害者投诉，随即针对性开展专项打击整治行动。执法过程中，涉案袭击者当场引爆炸弹，实施极端行为。 本次爆炸事故伤亡惨重，除引爆炸弹的嫌疑人本人殒命外，还造成当地警察局长、三名保安不幸身亡，另有一名警员与一名保安被炸受伤。 案件发生后，当地职能部门第一时间进驻事发地点，全面封锁现场，有序开展勘验取证、案情梳理等后续调查工作，厘清事故完整起因与经过。
#波贝车主协助打诈车辆被扣 近日，波贝市发生一起争议事件。一名车主将车辆出租给中国籍人员后，得知车辆涉嫌网络诈骗犯罪，便全力配合省警察局展开调查并成功破案。然而，警方事后却将该车辆移交法院。 车主准备齐全手续前往法院申请领回车辆，却遭遇层层阻碍。车主呼吁相关部门介入调查，化解行政阻碍并给予公正对待。 此前，柬埔寨内政部长苏速卡曾作出过“不得向车主索要钱财或设置取车障碍”的指示。
#柬埔寨资讯：发展委员会官员强调政府严厉打击网络诈骗 柬埔寨发展委员会投资委员会秘书长谢·沃提于8月5日会见了新任机场特许经营公司首席执行官朱利安·贝尔特。 在这次富有成效的会晤中，谢·沃提向SCA公司首席执行官介绍了政府为打击网络诈骗所采取的严厉措施，这些措施有助于恢复柬埔寨在国际舞台上的信心和声誉，同时加强投资环境，保障来柬埔寨的投资者和游客的安全。 同时，他欢迎并祝贺朱利安·贝尔特被任命为SCA公司新任首席执行官，并高度评价该公司在柬埔寨三十多年的投资，为柬埔寨航空业的发展和旅游业的提升做出了重要贡献。 朱利安·贝尔特还介绍了西哈努克国际机场的发展情况，并分享了该公司在物流领域扩大投资的计划，以支持经济发展和加强区域供应链连接。 谢·沃提表示支持该公司的投资扩张计划，并告知政府为发展基础设施和加强物流体系所做的持续努力，旨在提高吸引投资的竞争力并促进旅游业的发展。
#柬埔寨事件：8月5日，蒙多基里省警方在14号公路巡逻时，发现两名嫌疑人运输非法猎获的野生动物。 经现场检查，警方查获1头已死亡野猪和2只已死亡鬣羚。面对执法人员，嫌疑人弃车逃入附近森林，警方未能当场抓获。为切断非法野生动物交易链条，执法人员当场将查获的野生动物尸体焚毁，涉案摩托车被依法扣留，待进一步调查处理。 目前，当地警方已启动对嫌疑人的追查工作，持续加大对非法狩猎及野生动物运输行为的打击力度，以维护区域生态安全和野生动物保护秩序。 此次行动彰显了当地执法部门打击野生动物非法交易的决心，也提醒公众需共同抵制此类违法行为，守护生物多样性。
柬埔寨菩萨省上半年车祸大降近五成，落地九大交管新规 8月4日，菩萨省召开道路安全工作会议，百人专班复盘上半年交管成果、部署下半年整治目标。上半年当地交管成效显著，累计开展26场交通普法宣传，服务两千余名民众，完成数千辆车辆登记与驾照核发。对比2025年同期，交通事故下降40%、死亡人数暴跌48%。超速、酒驾、驾驶疏忽是主要肇事原因。为持续压降事故，官方敲定九大举措，涵盖常态化普法、严查违法驾驶、升级国道交通设施、完善救援机制、整治道路隐患、加装监控等，全方位筑牢道路安全防线。
#柬埔寨资讯：西港LION BOXING拳击俱乐部遭突袭，多名人员被拘留调查 8月4日，柬埔寨西哈努克市发生一起执法行动。当天上午，警方突袭位于当地的 “LION BOXING”拳击俱乐部，并逮捕数名涉嫌涉及DU品犯罪的人员。 随后，在一起持械抢劫案件调查过程中，执法部门再次对该场所展开行动。据初步消息，28月4日下午，警方在西哈努克市第四分区（Sangkat 4）采取进一步措施，拘留包括一名女性在内的4名相关人员，以便进行讯问及后续法律程序。 行动结束后，该场所被有关部门贴上封条，暂时关闭接受调查。消息人士透露，目前警方正在扩大调查范围，进一步核实是否还有其他涉案人员，以及该地点是否涉及更多违法活动。
柬埔寨严打新型诈骗套路 团伙诱骗泰国返乡劳工作案 柬埔寨执法部门正全力排查、严查并打击一类新型犯罪模式：不法团伙专门诱骗从泰国归国的柬籍劳工，吸纳其参与网络诈骗活动。此前当地已捣毁多处大型诈骗窝点，并持续向社会发布警示，提醒民众提高反诈意识。 柬埔寨内政部官员表示，这是犯罪分子迭代后的新型作案手法。随着官方持续清剿大型诈骗据点，不法分子为规避打击，纷纷分散藏匿于社区、民宅、山野及稻田等隐蔽区域。团伙依托无线网络，甚至利用车辆实施移动式网络诈骗，持续对接境内外犯罪链条。 官方坦言，人口贩运犯罪并未彻底肃清，犯罪手段已和网络诈骗深度结合、花样翻新。当局再次呼吁民众及家属谨慎甄别网络信息，切勿轻信陌生诱导、参与非法活动，遇可疑线索及时上报，避免沦为犯罪受害者。
柬埔寨旅游部长：电诈等负面因素拖累了柬埔寨的旅游业 昨天，柬埔寨旅游部长华哈向约150名旅游业代表透露，2026年上半年柬国际游客量同比锐减47.9%，仅接待175万人次，远低于去年同期的336万人次。 华哈指出，负面舆论、电诈网络、柬泰边境摩擦以及中东冲突导致的油价上涨，是引发暴跌的主因。他强调政府已出台纾困举措，呼吁公私合作重建柬埔寨国际声誉与旅客信心。 旅游业作为柬经济四大支柱之一，2025年曾创收超30亿美元。
韩国男子跨境运毒案二审开庭 近日，金边中院就一名韩国籍男子涉嫌跨境贩毒案开庭审理。被告金章恩（Kim Jang Eun，43岁）与其妻子于2024年在金边国际机场企图携毒出境至韩国时被捕，警方现场查获逾1200克冰毒及987克氯胺酮。 金边市法院此前判处两人各30年有期徒刑及8000万瑞尔罚金。两人随后提出上诉，期间妻子在狱中身亡。 金章恩在庭审中供认不讳，称系为还债替人运毒，并以需要照顾双亲为由请求减刑。中院将于8月中旬宣判。
#诈骗案 #执法行动 #跨国犯罪 柬埔寨内政部公布2026年上半年打击网络诈骗专项行动成绩单，展示了自2025年政府向网络诈骗“宣战”以来的显著战果。 据内政部数据，2026年1月至6月期间，柬埔寨警方在全国范围内累计铲除电诈窝点478处，遍布金边（139处）、西哈努克省（124处）、柴桢省（79处）、卜迭棉芷省（54处）等18个省市。行动中共逮捕涉及38个国籍的20,926名涉案人员，其中16,227人移交移民总局等待遣返，2,637人移送法院依法审理。 移民总局同期累计遣返72个国籍的违法外国人46,474人，其中涉电诈人员达16,874人。警方依法查封521处涉案场所（含98家赌场），封堵269个在线赌博网站，解救性剥削及人口贩卖受害者30人（27名越南籍、3名老挝籍），立案侦办涉诈洗钱案件85起。 内政部发言人杜速卡在新闻发布会上指出，集中打击已成功切断犯罪团伙的指挥核心与金融网络，使其运作能力大幅衰退。但他坦言…
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Showing the 12 most recent of 20 posts we hold for @JPZ_99. 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 — 307,679 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 30 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.
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.
“柬埔寨大事件 🅥 新闻曝光🇰🇭” (@JPZ_99), 875 subscribers as measured 7 August 2026. Telegram Register, tgregister.com/channel/JPZ_99.
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.