Channel
@jpztoutiao
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
6,605subscribers
-1,589 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 3,162–10,000.
| Telegram ID | -1003060484621 |
|---|---|
| Type | Channel |
| Usernames | @eu666 @jpz838 @jpztoutiao @kz666 @TP066 |
| Created | Between 1 August 2025 and 31 October 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 19 September 2026 |
| Measurements held | 54 |
| Confirmed unchanged | 1 time, most recently 19 September 2026 |
| On Telegram | t.me/jpztoutiao |
Gambling & betting — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 12 September 2026 and assigned it the closest of 31 fixed categories, at 63% 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.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 19 Sept 2026, 17:38 | 6,605 | -11 |
| 18 Sept 2026, 13:37 | 6,616 | -1 |
| 17 Sept 2026, 20:59 | 6,617 | -37 |
| 15 Sept 2026, 21:17 | 6,654 | -18 |
| 15 Sept 2026, 12:58 | 6,672 | -5 |
| 15 Sept 2026, 05:39 | 6,677 | -126 |
| 13 Sept 2026, 23:37 | 6,803 | -4 |
| 13 Sept 2026, 21:41 | 6,807 | -79 |
| 12 Sept 2026, 07:01 | 6,886 | -23 |
| 12 Sept 2026, 01:54 | 6,909 | -68 |
| 11 Sept 2026, 08:56 | 6,977 | -68 |
| 10 Sept 2026, 07:56 | 7,045 | -13 |
| 9 Sept 2026, 19:57 | 7,058 | -35 |
| 7 Sept 2026, 20:18 | 7,093 | -9 |
| 7 Sept 2026, 07:22 | 7,102 | -19 |
| 6 Sept 2026, 17:41 | 7,121 | -41 |
| 5 Sept 2026, 00:21 | 7,162 | -1 |
| 4 Sept 2026, 19:59 | 7,163 | -26 |
| 3 Sept 2026, 01:34 | 7,189 | -18 |
| 2 Sept 2026, 16:39 | 7,207 | first reading |
164 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 19 pages of 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. It is computed over the 2 of 23 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 31 August 2026 |
|---|---|
| Posts held | 164 (7 August 2026 – 31 August 2026) |
| Views total | 2,473 |
| Reactions total | 0 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 31 Aug 2026, 15:15 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.
Measured directly from 53 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.
1 reaction across 1 post, in 1 kind.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 1 | 100.0% |
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 5 of the 164 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 1 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 164 most recent posts we hold, published 7 August 2026 to 31 August 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.
#群友投稿：东南亚舔狗的自我修养 海外分析师们，虽然舔狗这个词听起来有点卑微，但难道舔狗就不能获得优雅、舔得体面吗？如果你已经决定要做一只称职的东南亚舔狗，那我将我五年来对自己舔的十大准则发给大家学习！ 1️⃣ 消息秒回，但别太卑微 ，妹子发消息，你秒回是基本操作，但别一秒就回！回复可以延迟几分钟，显得你也有自己的生活。 2️⃣ 记住妹子的所有喜好 。喜欢喝什么奶茶、吃什么零食、讨厌什么食物……都记录在小本本上！偶尔不经意地提到，她会觉得你超用心！ 4️⃣ 默默付出，不求回报。帮妹子解决问题、送妹子小礼物，但别总是挂在嘴边！舔狗的最高境界就是“我做了，但我没说”。 5️⃣ 学会倾听，别抢话。妹子吐槽、抱怨的时候，认真听就好，别急着给建议！有时候妹子只需要一个情绪垃圾桶，而不是解决方案。 6️⃣ 保持幽默感，舔狗也要有趣！偶尔自嘲一下，比如“我就是你的专属舔狗”，用幽默化解尴尬，妹子会觉得你可爱又真实。 7️⃣ 别轻…
今晚🇻🇳越南岘港精神小伙在马路上群殴干仗 越南仔就是暴躁~~在越南做盘口的老板们要注意了，让员工们都低调点吧！！ 📣 关注频道： @EU666 👉 投稿商务：@AE666
#网友投稿 群友投稿：今晚胡志明一郡花园酒吧，一群中国人与保安激情切磋，现场乱成一锅粥。酒还没醒，拳先上头了、 PS：老是喝点马尿就飘了 📣 关注频道： @EU666 👉 投稿商务：@AE666
#网友反馈：今天下午西港Ob5保利别墅区打野团队被宪兵队围了，目前已经把人抓了送去海豚警察局了 📣 关注频道： @EU666 👉 投稿商务：@AE666
#群友投稿：一位在西港做夜场的泰国小姐姐反映， 昨晚在KTV的厕所给一位中国男士口交，结果今天口腔就发炎了，不知道是遇到哪位大神了。估计平时就很喜欢被吃屌寻刺激，到处玩，被交叉感染了。这位小姐姐不好彩，就中招了。 各位兄弟姐妹们，在东南亚，不熟悉的屌别乱吃，不熟悉的逼也别乱舔，否则下一个可能就轮到你了😂 PS：哪位群友自觉站出来🤣 📣 关注频道： @EU666 👉 投稿商务：@AE666
#网友投稿：缅甸勐拉一男子据说被抓奸了，跑到窗台上待着，挺吓人的。 PS：老王这个职业真的是个高危职业🤣 📣 关注频道： @EU666 👉 投稿商务：@AE666
柬埔寨全国单日侦破29起毒品案件，172名嫌疑人被控制 8月31日，柬埔寨执法部门公布全国禁毒行动数据，当天共侦破29起涉毒案件，控制嫌疑人172人。 其中，毒品贩运案件4起，抓获31人；运输、持有毒品案件13起，抓获27人；吸食毒品案件8起，涉及114人。 官方数据显示，今年1月1日至8月31日，柬埔寨全国累计侦破涉毒案件7347起，共抓获19652人，其中女性1342人。 目前，各地执法部门仍在持续推进禁毒行动，并对相关案件中的毒品来源、运输路线及上下游人员展开进一步调查。 📣 关注频道： @EU666 👉 投稿商务：@AE666
#老挝资讯 老挝万象突击两处网络犯罪窝点，139人被控制，涉4个国家和地区 8月31日，老挝《公安报》报道，公安部特别工作组近日突击检查万象市 赛色塔县Ban Phai村的Meng Golf酒店和Gallery公寓， 打击涉嫌网络诈骗及网络赌博活动的团伙，共控制139人，其中女性54人。 其中，Meng Golf酒店查获114人，包括105名泰国人、7名中国人、1名台湾地区人员和1名柬埔寨人； Gallery公寓另查获25人，包括12名泰国人、7名中国人和6名台湾地区人员。 行动中，警方共查获440部手机、34台电脑、14台iPad及其他电子设备，并发现电子烟、卡痛制品及两小袋疑似毒品的白色物质，相关物品仍待进一步检测。 目前，老挝警方正继续审讯涉案人员，并追查幕后组织者及其他关联成员，案件仍在进一步调查中。 📣 关注频道： @EU666 👉 投稿商务：@AE666
伊斯兰堡大排查只是开始！巴基斯坦接下来或将严查电诈人员 前几天，巴基斯坦伊斯兰堡警方开展全市范围搜查行动，检查443人、213处住宅、66家商铺、25家酒店，以及248辆摩托车和93辆汽车，另有16名可疑人员和23辆摩托车被带回警局进一步核查。 此次行动释放出一个明显信号：巴基斯坦对可疑人员、无合法证件外籍人员以及潜在违法活动的排查正在持续加强。 而随着跨境网络诈骗问题受到关注，接下来当地执法部门对电诈窝点、涉诈人员及相关场所的检查力度或将进一步加大。 对于藏身当地从事网络诈骗的人来说，前几天的全城排查可能只是开始，真正的严查还在后面。 📣 关注频道： @EU666 👉 投稿商务：@AE666
#国内新闻 深圳公安披露电诈新套路：现金黄金转向线下交付，亿元荐股团伙247人落网 8月31日，深圳市公安局发布最新反诈专题信息，披露2026年以来电信网络诈骗的新变化。诈骗团伙正从过去“广撒网”逐渐转向精准寻找目标、定制诈骗剧本，洗钱方式也从线上转账转向现金、黄金和贵重物品线下交付。 深圳公安介绍，随着银行风控加强，诈骗分子开始诱导受害人提取大额现金，或购买黄金、奢侈品，再通过网约车、快递、地下“车队”和“取手”等方式转走。部分赃款还会迅速转换为黄金或虚拟货币，增加资金追查和追赃难度。 针对电诈背后的引流、诈骗和洗钱黑灰产，深圳警方今年持续展开全链条打击。今年6月，深圳市公安局龙岗分局打掉一个特大“荐股引流”电信网络诈骗团伙，一举抓获247名嫌疑人，涉案金额达1亿元。 该团伙形成了非法买卖公民信息、电话引流、虚假荐股和诱导转账的完整诈骗链条。“专家荐股”“内部原始股”等话术成为引流的重要手段，诈骗人员会筛选有投资理财需…
#网友投稿，今晚西港热闹了，看样子没有巡逻 ？东南亚洪联白主席与四面佛约架柬埔寨西港德瓦，柬埔寨乱不乱四面佛说了算。高速路口看热闹的兄弟 有么 ？ 📣 关注频道： @EU666 👉 投稿商务：@AE666
#扶手日记：吐槽一下某些所谓的“妈咪”。 赌博把女孩们辛辛苦苦赚的钱拿去输，最后还要让别人替她的烂账买单，真的挺离谱。 1、客人没买单，凭什么扣我的工资？ 我当扶手的时候，有一次客人签了单但是最后没钱买单。我当时也表示理解，让她把相关费用收回来。 结果等我离开公司以后，之前该结给我的工资却不认了。客人没买单是客人的问题，关我什么事？最后不仅水钱被扣，我自己一分钱没赚到，反而还倒贴进去，这是什么道理？ 2、为了让姐妹赚钱，反而被扣工资。 还有一次，我和同事因为没有出台被罚款，最开始甚至要罚更多。当时我也已经跟客人沟通好了，也安排了合适的女孩子，并没有得罪客人。 我只是想着让身边的姐妹也能赚点钱，所以提前跟她说了一声，让她安排一下。结果呢？直接扣了我一笔工资。我好心想着让大家都有钱赚，最后却变成了我自己承担损失。 3、朋友离开了，自己的水钱还要自己去讨。 我朋友之前上班，因为客人没有买单准备离开。她为了维护自己的权益，自…
Showing the 12 most recent of 164 posts we hold for @jpztoutiao. 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.
Named by 32 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 19 September 2026 — this entry's latest reading, not the date you are reading this.
“东南亚头条事件” (@jpztoutiao), 6,605 subscribers as measured 19 September 2026. Telegram Register, tgregister.com/channel/jpztoutiao.
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.