Channel
@YN_599
On this record: Topic · Observations · Also posting the same content · Growth · Engagement · Posts · Citations · Handles named that no longer answer · Cite this entry
891subscribers
+6 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1002958494410 |
|---|---|
| Type | Channel |
| Username | @YN_599 |
| 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/YN_599 |
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 75% 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 |
|---|---|---|---|
| @xinwen663/108346 Aug 2026, 10:16 UTC | @YN_599/9056 · this entry6 Aug 2026, 10:17 UTC | 1.00 | under a minute |
| @xinwen663/108406 Aug 2026, 10:16 UTC | @YN_599/9062 · this entry6 Aug 2026, 10:17 UTC | 1.00 | under a minute |
| @xinwen663/108436 Aug 2026, 10:16 UTC | @YN_599/9064 · this entry6 Aug 2026, 10:17 UTC | 1.00 | under a minute |
| @xinwen663/108446 Aug 2026, 10:16 UTC | @YN_599/9065 · this entry6 Aug 2026, 10:17 UTC | 1.00 | under a minute |
| @xinwen663/108476 Aug 2026, 10:16 UTC | @YN_599/9068 · this entry6 Aug 2026, 10:17 UTC | 1.00 | under a minute |
| @xinwen663/108506 Aug 2026, 10:16 UTC | @YN_599/9071 · this entry6 Aug 2026, 10:17 UTC | 1.00 | under a minute |
| Channel | Matching posts | Text overlap | Typical gap | Published first |
|---|---|---|---|---|
| @xinwen663 | 16 (6/8 hand-verifiable sample passed) | 1.00 | under a minute | @xinwen663 (16–0) |
| @XJP_199 | 6 (5/6 hand-verifiable sample passed) | 1.00 | 5 minutes | @XJP_199 (6–0) |
| @xinjiapo199 | 6 (5/6 hand-verifiable sample passed) | 1.00 | 5 minutes | @xinjiapo199 (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. 28 of the 28 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 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 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, 17:11 | 891 | +6 |
| 6 Aug 2026, 19:49 | 885 | 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 | 30 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 6 Aug 2026, 19:49 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.
#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。
#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。
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。
印尼破获非法劳务贩运案,105名女工被输送至利比亚遭剥削 警方通报，8月4日侦破一起跨国人口贩运案，两名嫌疑人在2023至2026年间，非法输送至少105名印尼女工前往利比亚从事家政工作。历经多批次输送，部分人员提前遣返回国，均已接受核查并配合取证。 目前仍有41名务工人员滞留利比亚，警方正联动各方协调接返。经调查暂未发现相关性暴力案件，后续警方将持续跟进滞留人员安置与案件侦办工作。
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。
菲律宾抓获头号通缉犯，涉六项未成年强奸罪落网 8月5日，民马罗巴省头号通缉犯在朗布隆省落网。当地多部门联合开展专项抓捕行动，成功将这名身负六项未成年强奸罪的嫌疑人逮捕归案。本次行动由刑事调查和侦查组牵头，多支警务、情报及海事执法队伍协同配合。 警方依据当地法院7月22日签发的逮捕令实施抓捕，嫌疑人涉嫌违反菲律宾反强奸法等多项法规。目前嫌疑人已被控制，案件将依法开展后续审理工作。
马来惯犯持刀袭警被击毙 马来西亚霹雳州警方最近在巴都古劳搞抓捕，一名有一堆前科的涉毒惯犯持刀袭警，最后被警方开枪制服，送医后不治身亡。 事发当天早上8点20分，警方接到线报，知道这货藏在当地一个果园小屋里，马上派人过去抓。到了现场亮明身份准备动手时，这家伙突然掏出砍刀就往警员身上冲。 警方为了自保只能开枪，打中他腿部。人倒地了还不老实，继续拼命反抗搏斗，警方好不容易才把刀夺下来。 嫌疑人随后被送去医院抢救，上午9点20分宣告死亡。一查发现这货身上背着10项前科，全是刑事和毒品案子，6月还持刀砍伤过两名警员后一直潜逃。尸检结果还没出来。
#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
潜逃九年整容换脸，越南一女地产商涉诈骗265亿被捕 8月4日，越南多乐省警方联合胡志明市警方，在胡志明市新美坊成功抓获特别危险的通缉犯阮氏柳（43岁）。 调查显示，阮氏柳在2015年至2017年7月担任多乐省一家房地产经纪公司董事期间，通过虚构地块、伪造土地使用权证及房屋资产证书等手段骗取客户信任，共诈骗68名受害者超过265亿越南盾。2017年8月，她因涉嫌诈骗和侵占财产罪被提起刑事诉讼，随后潜逃。同年9月，警方对其发布通缉令。 在长达近九年的逃亡期间，阮氏柳通过整容手术改变面部特征，并使用伪造身份证件隐瞒行踪。尽管她多次更换住址和身份，最终仍未能逃脱法网。目前，阮氏柳已被移交多乐省接受进一步调查。
菲律宾交通执法员执勤遇袭遭枪击 系当地第三起同类案件 菲律宾米沙亚普市发生一起恶意袭警案件，一名交通执法人员在执勤过程中遭不明枪手枪击重伤，生命垂危。事件发生于周二上午10时，43岁执法人员朱伊斯·雷贝拉尔·拉霍特在巴朗盖波布拉西翁1号一家面包店前执勤时，被暗处枪手从背后偷袭枪击。 监控画面显示，行凶者佩戴深色墨镜与白色口罩，身着无袖上衣和蓝色工装短裤，开枪后迅速驾乘摩托车逃窜，目前身份不明。伤者随即送医抢救，仍在全力救治中。 当地市长罗利·萨克达兰严厉谴责此次暴力袭警行径，下令警方全力追凶、严惩肇事者。由威廉·法克索伊中校带队的当地警局同步发声谴责该恶劣行为，并全面展开侦查与追捕工作。据悉，这已是米沙亚普市第三位执勤遇袭遭枪击的交通执法人员。
越南Capel公司特大投资诈骗案 越南胡志明市人民法院即将开庭审理Capel公司特大投资诈骗和洗钱案。检方指控，这公司打着多元化企业的幌子，靠办大型投资说明会、承诺超高回报，骗了4837名投资者，非法募集约7020亿越盾，并侵吞超过4207亿越盾。 2021年10月，45岁的武德静受聘当Capel公司战略顾问，约定能拿融资总额15%的报酬。此前他还自己掏了7.8亿越盾帮公司启动。 按武德静设计的套路，公司每周开2到6场大型说明会，每场拉300多人，地点从总部到全国各酒店都有。武德静负责租场地、请主持人，吕国长和一帮高管则上台忽悠。 他们吹公司业务涵盖房地产、绿色能源、屋顶太阳能、旅游、运输、教育培训、技术转让等一大堆领域，还声称在多个国家有代表处，就为让人信。 接着诱导投资者签“合作投资协议”，以买公司股份的名义投钱，承诺日收益0.625%、周收益3.125%、月收益12.5%，或者两年后本金加收益一共300%的回报。…
Showing the 12 most recent of 20 posts we hold for @YN_599. 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 — 310,405 of 1,084,084entries 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.
@YN_599 named 1 handle that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all.A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
References a handle that is not a live channel — we have no record it ever was one.
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.
“热点新闻 刑事案件🪻” (@YN_599), 891 subscribers as measured 7 August 2026. Telegram Register, tgregister.com/channel/YN_599.
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.