Channel
@JPZ_88
On this record: Topic · Observations · Growth · Engagement · What this channel posts · Posts · Citations · Cite this entry
14,863subscribers
-104 since we began measuring on 11 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
| Telegram ID | -1002392159604 |
|---|---|
| Type | Channel |
| Username | @JPZ_88 |
| Description | 投稿，澄清，曝光，删帖，商务合作一体化。 国漫：https://t.me/No_1GM trx闪兑群：https://t.me/DNYNLSD trx自助机器人：@DNYNLSD_bot 东南亚吃瓜：https://t.me/dny_zycg 美女鉴赏：https://t.me/DY_MN0 头像表情包：https://t.me/TG_WAG |
| Created | Between 1 September 2024 and 31 March 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 11 August 2026 |
| Last confirmed live | 14 August 2026 |
| Measurements held | 5 |
| Confirmed unchanged | 1 time, most recently 14 August 2026 |
| On Telegram | t.me/JPZ_88 |
Other / unclassifiable — 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 12 August 2026 and assigned it the closest of 31 fixed categories, at 76% 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.
1.0 average views per post against 14,957 subscribers — an engagement rate of 0.007%. Across the 1,871 registered channels in the same cohort — 10,003–31,611 subscribers, posting mainly in Chinese — the middle half sit between 1.94% and 11.5%, with a median of 4.82%.
| Window | 30 days (13 July 2026 – 12 August 2026) |
|---|---|
| Posts measured | 13 of 13 published in the window (13 exact, 0 rounded by Telegram) |
| Views totalled | 13 |
| Mature posts only | 0.007% over 10 posts read at least 24h after publication |
| Subscribers | 14,957 measured 12 August 2026 |
| Cohort | b10000:zho · 1,871 channels · p10 0.566% · p25 1.94% · p50 4.82% · p75 11.5% · p90 24.9% |
| Position in cohort | 0.000th percentile · 1/1000 the cohort median |
| Uncertainty | ±0.193% of the figure, from Telegram’s rounding |
| Post language | Chinese · 100.0%of the window’s posts |
When this is recorded. A channel is listed here only when its engagement rate sits at or below the 1st percentile of its cohort and is at least 3× away from that cohort’s median — below it — on both the all-readings figure and the mature-only figure. The percentile alone would be circular: a percentile cut puts the same share of every cohort in the tail whatever the data looks like. The distance from the median is what makes it a statement about this channel.
This is not a verdict, and the direction is not a quality signal.A low rate has many innocent causes — audiences that read in the Telegram app without opening the channel, a subscriber base built long before the current output, an audience in a different timezone from our reading. A high rate has innocent causes too: a post that travelled far beyond the channel’s own subscribers will do it. We publish the measurement and the distribution it sits in. The full cohort baselines are downloadable, so this comparison can be reproduced rather than trusted.
Recorded under the key err_low, last confirmed 12 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.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 14 Aug 2026, 16:47 | 14,863 | -33 |
| 13 Aug 2026, 08:55 | 14,896 | -61 |
| 12 Aug 2026, 08:44 | 14,957 | -10 |
| 11 Aug 2026, 08:47 | 14,967 | no change |
| 11 Aug 2026, 02:17 | 14,967 | first reading |
20 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 6 pagesof 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 13 August 2026 |
|---|---|
| Posts held | 20 (7 August 2026 – 13 August 2026) |
| Views total | 20 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 14 Aug 2026, 20:15 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.
Lifetime counters from Telegram’s own channel header, read 14 August 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.
Measured directly from 6 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.
🇲🇾 65岁搞流动伪基站被抓！ 马来西亚警方近日展开行动，成功阻断一起针对跨境旅客的网络钓鱼诈骗案。 据报道，一名65岁马来西亚籍男子被捕。嫌犯涉嫌在车辆上安装伪基站，利用新山与新加坡边境高峰期拥堵时段，向周边手机发送钓鱼短信。行动中查获手机、GSM模块及车辆等作案工具。 马警方表示，此前已在柔佛和云顶高原展开多起同类打击行动，逮捕5人并查扣30件配件及5辆车。官方呼吁公众提高警惕并积极举报可疑信息。 年少不努力， 65岁还不能退休～～
#国内资讯：学校以分配工作为由 诱骗所有学生至菲律宾赌场犯罪 我们学校分配就业，把所有同学，一个系100多号人，全部送到了菲律宾做博彩！ 我们是民办职中包就业，去到菲律宾之后干了半个月左右，我们知道这个东西涉嫌赌博，当时所有同学都在闹，最搞的就是学校派了当时我们的就业老师给我们做思想工作，跟我们说这个东西在国外是合法的。 人身自由也被限制，把我们护照也扣了，底薪5000，每多待一个月给加500，我们这些学生在里面做一些网站更改，把网站帖子引流到狗推那边。 学校现在还没被端，还是在开，但学校的负责人是取保状态，我们一百多号人，不在同一家公司，分布在整个菲律宾的各个公司，后面19年我回国了，24年叔叔还是给我打电话了，去了以后就取保了，现在的话有些同学已经被判刑了，有些缓刑不予起诉，我前两天还接到某检察让我们开听证会。 我现在就想起诉这个b学校，但是叔叔那边说退赃退赔都是学校帮我们出的，这个真的很冤，大家花很多钱上个学校，…
#国内资讯：警惕全新视频通话骗局！蚌埠警方近期侦破了一类新型盗取付款码诈骗案件。 骗子通过社交软件和受害人接通视频通话，聊天过程中，会以视频验证、身份核验、刷单、开通会员等各种理由，诱导受害者打开手机付款码页面。 很多人以为只是给对方看一下屏幕并不会出事，殊不知骗子会利用视频高清画面，远程拍下你的付款条码，直接完成扣费盗刷。不需要拿到你的手机，仅仅通过视频画面，就可以转走账户内资金。 警方温馨提醒大家：微信、支付宝付款码属于资金支付密钥，绝对不要在视频通话里展示付款码。无论对方是什么理由，只要让你亮出付款码，一律视作诈骗。
#东南亚狗推转型建议： 最近环境变化越来越快，曾经熟悉的赛道已经越来越难走。 以前靠电脑、手机、键盘闯天下， 现在不如考虑给自己升级一下技能。 会聊天的，可以研究销售； 懂运营的，可以学习正规电商； 有管理经验的，可以尝试创业； 年轻有颜值的，也可以考虑进入正规服务行业。 毕竟，人生没有永久风口， 但能力永远是自己的。 不要总想着下一个暴富机会， 先想想自己还能学会什么。 从“网络梦想家”， 变成“现实奋斗者”。 换个方向， 也许还是那颗明日之星。🤣
#缅甸资讯：木姐查获疑似网络诈骗窝点：60名中国籍男子被捕，缴获大量设备 据当地消息，8月11日上午10时35分左右，缅甸掸邦木姐地区开展执法行动，在木姐朵越沙滩路口正对面的第二条道路附近一处民宅内，发现并查处一处疑似从事网络诈骗活动的窝点。行动中，执法人员现场抓获60名涉嫌参与网络诈骗的中国籍男子，并查扣大量涉案电子设备。 据悉，现场共缴获手机85部、一体机电脑11台、StarLink设备2套、移动电源2台、笔记本电脑4台、UPS电源1台、摩托车2辆以及其他相关设备。目前，涉案人员已被有关部门控制，案件正在进一步调查处理中。警方将对涉案人员身份、设备数据以及是否涉及跨境网络诈骗活动展开核查。
🇲🇾 马来西亚“森林城市”成电诈新窝点 警方突袭逮捕335人 BBC报道，马来西亚耗资千亿美元打造的柔佛州“森林城市”（Forest City）因仅有一半不到的计划人口入住，原本沦为半废弃的“鬼城”。其高空置率、现代化基础设施及隐蔽性，吸引了从柬埔寨等地流窜而至的跨国诈骗集团入驻。 当地警方7月中旬突袭了分散在森林城市32处场所的两个电诈窝点，逮捕335人（含309名中国籍），查获逾1500部手机及300余台电脑等作案工具。 专家指出，与柬埔寨或缅甸强迫劳动式园区不同，该项目中的电诈团伙多以租住高档公寓和平房的形式暗中运作，显现出跨国诈骗产业正朝隐蔽化、专业化及正规商业化演变的趋势。 对面就是新加坡～～
#网友反馈：老挝万象三江盛大门口这条街有很多当地的警察，现场各种拦车，连电瓶车都拦下来检查，大家注意安全，没有证件的，不要出来了。
东南亚狗推的真正问题：不是粉，而是态度！！！ #网友投稿：许多东南亚狗推经常抱怨——粉不好、客户难搞、公司模式差、压力太大。但这些真的是根本问题吗？其实，95%以上的盘总，最初都是从狗推做起的。 没有人能一步登天，和客户建立信任、促成合作，都需要时间和积累。很多狗推只顾着抱怨，却忽略了最关键的一点：执行力与态度。 同样的话术、相似的客户资源，为什么有人能快速开单签大单，而你却不行？差别就在于——当你在争论、拖延、抽烟消磨时间时，别人已经在抓紧和客户建立感情，推动合作。 公司并非要打压员工，而是讨厌懒惰和怨天尤人的人。即便业绩暂时不理想，只要努力，主管也会看到并认可。不管有没有入金，都要拿出自己的聊客态度，一点耐心和思路都没有，怎么让客户入金么，还有一些人，就是看现在大环境不好，混日子 。一天一天的过去了，到底是在糊弄自己还是糊弄公司呢 ？ 如果连基本的狗推工作都做不好，又凭什么有人扶持你成为盘总？ 很多人通过狗推一步…
#柬埔寨资讯：金边工地人员被带走，48小时后排除涉案获释 8月6日深夜，约30名持枪人员突查金边一处工地。中国籍预算员刘凯文与会计、材料员、保安等8人被控制，随后连夜押往贡布省调查一起绑架案。 刘凯文称，自己虽持有合法证件，却因语言不通无法获知被带走的原因，也不能及时联系家人和律师。他被关进约6平方米的房间，期间因过度紧张出现胸口不适。 其妻两天几乎未眠，辗转金边多处执法机构寻找丈夫，最终带着律师和翻译赶到贡布。经过笔录及证人指认，执法人员确认刘凯文等人与案件无关，于8月8日将其释放。 刘凯文表示，关押期间未遭受身体暴力，但希望执法前能仔细核实身份，并保障当事人的知情和联络权。他提醒在柬同胞遵守当地法律、保管好合法证件，遇到突发情况保持冷静，及时联系家人、公司、律师及翻译。“这48小时，让我第一次知道自由有多珍贵。” 经历这次事件后，刘凯文最想提醒在柬埔寨生活、工作的中国人：“都是同胞，请你们不要搞中国人。
#群友投稿：菲律宾女孩在馬來西亞的孕妇在公寓里吊架，因為他的中国男朋友抛弃了她和孩子。 PS：拔吊无情了哎 这男的真不是个东西
金边警方突袭抓获14名涉电诈越南籍人员 昨天，在金边市长坤盛及市警察局长尊那林等指示下，金边警方向务会同检方对位于森速区的“Constar City”大楼展开突击检查。 行动中，警方在该大楼4座的3间涉案房间内抓获14名越南籍人员（含1名女性），并查获台式电脑一体机14台、笔记本电脑4台以及手机18部等大批电诈作案工具。 目前，案件正在进一步依法审理中。
#斯威士兰资讯：40名中国人因护照被注销滞留 #中方要求直接回国 斯威士兰当地媒体近日报道，40名中国籍人员因出境问题继续被羁押。马恩齐尼地方法院裁定，在相关上诉程序结束或他们被遣返回中国之前，这批人员仍需继续留在拘押状态。 报道称，这40人此前分别在恩圭尼亚（Ngwenya）、姆卢梅尼（Mhlumeni）边境口岸以及锡泰基（Siteki）被抓。案件的关键出现在7月25日。当这批中国人准备从斯威士兰出境时，才发现自己的中国护照已经被中方注销，因此无法按照原计划离境。 报道还称，中国方面要求这批人员直接从斯威士兰返回中国，而他们本人则希望先经莫桑比克或南非离开斯威士兰，再转往其他地区。 由于双方对遣返路线存在分歧，这批人员至今仍未能完成出境。 在最新一次庭审中，部分被羁押人员对长期关押表示不满，并在法庭仍在开庭期间进行抗议。随后，马恩齐尼地方法院首席地方法官David Khumalo裁定，他们必须继续被羁押，直到上诉申请…
Showing the 12 most recent of 20 posts we hold for @JPZ_88. 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 — 1,212,310 of 1,345,403entries 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 1 registered channel — 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.
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 14 August 2026 — this entry's latest reading, not the date you are reading this.
“综合曝光推广频道” (@JPZ_88), 14,863 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/JPZ_88.
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.