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Channel
柬埔寨大事件『柬生活』🇰🇭
@jpzdny
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Telegram's recommendations · Cite this entry
150,164subscribers
-1,890 since we began measuring on 8 August 2026
Risers and fallers across the register · movement among entries of 100,000–316,228.
Register entry
| Telegram ID | -1001071700254 |
|---|---|
| Type | Channel |
| Usernames | @iinnn @jpzdny |
| Created | Between 1 September 2016 and 30 September 2017— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 8 August 2026 |
| Last confirmed live | 12 August 2026 |
| Measurements held | 9 |
| Confirmed unchanged | 1 time, most recently 12 August 2026 |
| On Telegram | t.me/jpzdny |
Topic
Gambling & betting — 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 9 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.
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 12 Aug 2026, 22:52 | 150,164 | -240 |
| 12 Aug 2026, 08:43 | 150,404 | -150 |
| 11 Aug 2026, 21:25 | 150,554 | -258 |
| 11 Aug 2026, 06:52 | 150,812 | -211 |
| 10 Aug 2026, 22:06 | 151,023 | -254 |
| 10 Aug 2026, 10:00 | 151,277 | -18 |
| 10 Aug 2026, 05:22 | 151,295 | -553 |
| 9 Aug 2026, 06:42 | 151,848 | -206 |
| 8 Aug 2026, 11:05 | 152,054 | first reading |
Engagement
135 posts held, back to 8 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 13 pagesof Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 3.69%
- avg views ÷ 150,164 subscribers
- Avg views / post
- 5,540
- 135 posts measured
- Reaction rate
- 0.545%
- reactions ÷ views · ER floor
- Posts in window
- 135
- of 135 held
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 121 of 135 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 12 August 2026 |
|---|---|
| Posts held | 135 (8 August 2026 – 12 August 2026) |
| Views total | 748,486 |
| Reactions total | 3,746 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 12 Aug 2026, 18:09 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.
What this channel posts
- Video runtime
- 27m 07s
- Average length
- 21s
Measured directly from 77 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.
Reaction mix
3,746 reactions across 121 posts, in 12 distinct kinds. The most used accounts for 12.2% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 🎉 | 458 | 12.2% | |
| 🥰 | 445 | 11.9% | |
| 👍 | 413 | 11.0% | |
| 🔥 | 396 | 10.6% | |
| 🤩 | 382 | 10.2% | |
| 😍 | 345 | 9.21% | |
| ❤🔥 | 339 | 9.05% | |
| ❤ | 330 | 8.81% | |
| 💯 | 323 | 8.62% | |
| ⚡ | 111 | 2.96% | |
| 😁 | 104 | 2.78% | |
| 👏 | 100 | 2.67% |
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 121 of the 135 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 3,746reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 135 most recent posts we hold, published 8 August 2026 to 12 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.
Recent posts
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#网友投稿:在东南亚混久了,人都废了。不是赚钱的问题,是脑子出了问题。 以前在国内,花100块都得掂量掂量。到了这边,100美金刷出去,眼睛都不眨。不是因为你赚得多了,是因为你把美金当冥币花了——数字小,没感觉,花完拉倒。月底一看账单:“卧槽,这钱是我花的?”不是你是谁?鬼帮你花的? 你以为你在过好日子,其实你在给东南亚打工。会所、酒吧、请客吃饭,样样不落。回国一看银行卡——余额还没你脸皮厚。 兄弟,你在国内省吃俭用,攒三万块能活半年。你在那边大手大脚,三万美金只够买几个月的“面子”。面子有了,钱没了,人老了,啥也没剩下。 更蠢的是啥?是你觉得这种生活正常。没存款正常,月底吃土正常,借钱发工资也正常。你管这叫“活在当下”,其实就是被这边的节奏带沟里了。 一句话:你是来赚钱的,不是来过瘾的。钱是挣来的,也是守住的。守不住,赚再多都是过路财神。别等到回国那天,才发现——你在国外潇洒了几年,实际上是在给别人的好日子买单。 …
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#网友反馈:老挝万象雅典饭店行动结束了,抓了不少人,目前开始装车带走了, 此前文章: t.me/jpzdny/58671 PS:最近老挝抓人跟下饺子似的,一窝接着一窝。 🔔订阅柬埔寨大事件频道 ↓ 🥰订阅频道:@iinnn 🔥投稿爆料:@aa660 ➡️交流总群:@yyyyo
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🥰12❤🔥10👍10🤩9💯8😍7🎉6❤5
#网友爆料:高脚苏总 福建安溪人,安排路线让我从国内到柬埔寨绿巨人园区,他朋友的公司做精聊,在国内我就说了不做精聊,多次叫我出国,用高薪骗我出国! 到绿巨人园区后!做了一个月!我说我不做想回国!想要回国问我要高额赔付,没办法,后面安稳在绿巨人做了七个月之后,公司说要搬去七星海! 我没去,两个月工资没发,高脚让我去去中国城金水园区9栋3楼333办公室做法国刷单,说工资补给我!后面在中国城做了一个月,我说工资不要了!我要回国!然后联合主管阿木一起给我算1.6万赔付,我当时威胁他!我说要钱没有,我报警,他说报警也没用,给钱才能解决问题,后面找我朋友给了他1万u,才放我出园区 和我从国内出来的兄弟一直跟着她做,我没要他的代理费,也没有要他的介绍费,我兄弟幸幸苦苦和他干了一年多,后面他们公司搬去波呗,我兄弟一直跟着,结果波呗大检查,公司解散,不管我兄弟死活,也不安排我兄弟回国,现在高脚已经回国,压根不管下面人死活。 我现在只想要回…
❤10🎉10💯10🥰10😍7❤🔥6🔥6🤩5
#网友反馈:8月12日开始,金三角特区内针对受举报的公寓进行检查 相关文章: t.me/mpdsj/33002 老挝治安局,老挝公安,中国便衣,12日12点抽查桐琴水岸,金水湾,梅陇湾,凤凰城,携带人脸扫描机器,检查住是否存在办公设备,三证是否齐全,以上四处收到举报较多,为重点检查目标,疑有上榜名单,包括万国公寓,唐人国际,山上酒店,大黄楼均在检查范围 检查截止到本月17号,部分物业已经通知也进行内部检查了,特内打野的都注意安全,这次行动力度不小。 🔔订阅柬埔寨大事件频道 ↓ 🥰订阅频道:@iinnn 🔥投稿爆料:@aa660 ➡️交流总群:@yyyyo
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Showing the 12 most recent of 135 posts we hold for @jpzdny. 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
Citation-graph rank — 258,825 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.
Mentions
Named by 9 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.
@bgggg2o · 9967 posts东南亚挨打日记
@dajian995 · 30,3152 posts🇰🇭 柬埔寨🇰🇭 包厢文化-大事件
@dongnanya_DJ · 65,1602 posts灰产爆光大事件
@HCBGDSJ · 131,9772 posts柬埔寨大事件|新闻曝光|安危头条
@JPZDSJ · 198,1572 posts东南亚大事件| 曝光 新闻
@JPZDSJ886 · 132,1652 posts柬埔寨新闻-大事件-爆料
@JPZXWDSJBL · 103,5272 posts全球资讯曝光大事件
@nnccqq · 39,8962 posts新闻头条-大事件-爆料
@TGXWDSJBL · 101,0662 posts
Names
Channels on the register whose handles appear in this channel's posts.
@jianshenghuo · 51,64575 posts亚太导航频道
@dh555 · 10,6125 postsN1国际官方频道
@n1svip · 5,3975 posts2028122.COM- 2028体育官方频道
@pg115 · 11,0975 posts2028体育综合台官方频道
@pg2028ty · 9,6015 posts亚太国际→86.Net
@ytgj9999 · 31,4755 postsN9.COM|官方频道
@N9_com1 · 9,3074 postsN9.COM 福利频道导航
@n9pd888 · 8,5224 posts💥七天娱乐导航站💥
@qtyldh · 1,8754 postsbolai.com铂莱世界杯冠名
@blzhaoshang · 5,1843 posts🔥辉煌娱乐城-93.cc-超高返水1.6%起🔥官方频道
@hhylc8888 · 4,7843 posts🔥金贝娱乐场-jinbei.com-【官方招商】🔥
@jbzhaoshang · 5,2873 posts🔥金边娱乐城-jinbian.com-官方招商🔥
@JBZS0 · 4,8023 posts🔥KK娱乐城-18.vip-🔥官方招商
@kkyl5000 · 4,7843 posts6U.com|客服中心
@PG6U_com · 6143 posts8K国际官方
@PG8K8K · 4,6373 postsPG娱乐 92.cc 官方频道
@pgyx8_com · 5,0923 postsTG娱乐城-官方招商
@TGYLCzhaoshang · 3,1463 posts6U.com|保证金查验教程
@WWW_6Ucom · 1353 posts🔥西港娱乐城-xigang.com-🔥官方招商
@XGzhaoshang · 2,5983 posts🔥西湖娱乐城-xihu.cc-【实力招商】🔥
@xihuzs · 5,4143 posts木牌大事件|东南亚新闻
@mpdsj · 124,5441 post
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.
Channels Telegram recommends alongside this one
Telegram’s own answer, not this register’s.When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.
@JYGJBG · 55,011#1
@bx666 · 467,600#2
@jianpuzhaidashijian · 45,467#3
@bgggg2o · 996#4
@xpppp · 305,392#5
@JPZshibao888 · 84,983#6
@JPZRD68 · 56,399#7
@jpz_888 · 12,851#8
@bx777 · 34,447#9
@xigang6 · 8,044#10
@pp666 · 241,877#11
@xigang8688 · 11,883#12
@ow333 · 78,886#13
@jianpuzhaihuarenzixun · 103,685#14
@tx100 · 163,810#15
@jpztong · 9,720#16
@BG6668 · 114,948#17
@jpzqzpd · 2,265#18
@usd1 · 252,243 (as read 12 August 2026)#19
@blj77 · 175,290#20
@vipn8888 · 79,835#21
@dongnanyazhaopin1 · 1,178#22
@nnccqq · 39,896#23
@dny718 · 14,463#24
@rdzx0 · 86,591#25
@qiuzhi69 · 14,435#26
@dubai0 · 78,502#27
@hr10060 · 28,599#28
@sii76 · 203,236#29
@ac666 · 305,586#30
@sucai1 · 108,672#31
@XdTGHY · 2,335#32
@JCSVIPA3 · 708#33
@DNYJPZ8 · 933#34
Read from Telegram’s recommendation API, most recently 12 August 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.
Appears in Telegram’s recommendations for other channels
The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.
@pp666 · 241,877
Telegram ranks this channel #25 of 54 here — alongside 53 others — read 11 August 2026
This channel appears in 1 seed channel's Telegram-generated recommendation list in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
Cite this entry
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 12 August 2026 — this entry's latest reading, not the date you are reading this.
“柬埔寨大事件『柬生活』🇰🇭” (@jpzdny), 150,164 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/jpzdny.
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.