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Channel

柬埔寨🌍《 柬 泰 缅 老挝》求职频道

@jpzqiuzhi

On this record: Topic · Observations · Also posting the same content · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Handles named that no longer answer · Cite this entry

51,998subscribers

+26,490 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 31,623–100,000.

Register entry

Telegram ID-1002465014244
TypeChannel
Username@jpzqiuzhi
Description👉 👉 投稿联系 @aiLiuLiu5201314 👉机器人发布 @guanggao222 一键加入十一个群组 https://t.me/addlist/ycq7PT_kkC1kNGFl 【全球爆料】 @quanqiubaoliao 🔥全球(菲 柬 迪 泰 缅 老挝)聊天群 @quanqiuliaotian666 🔥全球(菲 柬 迪 泰 缅 老挝)求职频道 @FJD666666 🌸美少女交流群 @meishaolv 🔥狗推🌍代理🎲 之家 @dailizhijia66
CreatedBetween 1 September 2024 and 31 March 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live2 October 2026
Measurements held32
Confirmed unchanged1 time, most recently 2 October 2026
On Telegramt.me/jpzqiuzhi

Topic

Job listings — 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 10 September 2026 and assigned it the closest of 31 fixed categories, at 59% 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.

Observations

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.

Views per post sit far below this size band

9.9 average views per post against 51,998 subscribers — an engagement rate of 0.019%. Across the 1,255 registered channels in the same cohort — 31,624–99,831 subscribers, posting mainly in Chinese — the middle half sit between 1.02% and 5.69%, with a median of 2.58%.

What this was computed from
Window30 days (2 September 2026 – 2 October 2026)
Posts measured526 of 527 published in the window (526 exact, 0 rounded by Telegram)
Views totalled5,186
Mature posts only0.007% over 13 posts read at least 24h after publication
Subscribers51,998 measured 2 October 2026
Cohortb31623:zho · 1,255 channels · p10 0.302% · p25 1.02% · p50 2.58% · p75 5.69% · p90 11.2%
Position in cohort0.558th percentile · 1/143 the cohort median
Uncertainty±0.056% of the figure, from Telegram’s rounding
Post languageChinese · 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 2 October 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.

Also posting the same content

This channel’s posts match, word for word or near enough, posts on 4 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.

Growth

8,33956,68832,513.57 August 2026 — 25,508 subscribers7 August 2026 — 25,508 subscribers8 August 2026 — 23,873 subscribers9 August 2026 — 23,283 subscribers10 August 2026 — 22,444 subscribers11 August 2026 — 21,572 subscribers12 August 2026 — 20,948 subscribers13 August 2026 — 20,461 subscribers14 August 2026 — 19,547 subscribers15 August 2026 — 18,682 subscribers17 August 2026 — 17,545 subscribers18 August 2026 — 17,150 subscribers19 August 2026 — 16,367 subscribers20 August 2026 — 15,838 subscribers21 August 2026 — 15,466 subscribers22 August 2026 — 14,633 subscribers24 August 2026 — 13,920 subscribers25 August 2026 — 13,221 subscribers26 August 2026 — 12,705 subscribers27 August 2026 — 12,466 subscribers28 August 2026 — 11,736 subscribers29 August 2026 — 11,107 subscribers30 August 2026 — 10,359 subscribers31 August 2026 — 10,281 subscribers1 September 2026 — 9,836 subscribers6 September 2026 — 8,339 subscribers10 September 2026 — 56,688 subscribers12 September 2026 — 55,678 subscribers14 September 2026 — 54,935 subscribers16 September 2026 — 54,121 subscribers18 September 2026 — 53,651 subscribers2 October 2026 — 51,998 subscribers51,9987 August 20262 October 2026
32 measurements spanning 56 days, net +26,490. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between — snapshots are recorded only when a count changes, so gaps mean “no change observed”, never “interpolated”. The vertical axis spans 1,087–63,940 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 32
Measured (UTC)SubscribersChange
2 Oct 2026, 04:0051,998-1,653
18 Sept 2026, 13:5753,651-470
16 Sept 2026, 04:5954,121-814
14 Sept 2026, 12:5854,935-743
12 Sept 2026, 23:3855,678-1,010
10 Sept 2026, 20:3756,688+48,349
6 Sept 2026, 00:558,339-1,497
1 Sept 2026, 23:579,836-445
31 Aug 2026, 22:1610,281-78
30 Aug 2026, 19:2510,359-748
29 Aug 2026, 15:5711,107-629
28 Aug 2026, 15:3311,736-730
27 Aug 2026, 12:5612,466-239
26 Aug 2026, 10:2412,705-516
25 Aug 2026, 13:0313,221-699
24 Aug 2026, 11:0813,920-713
22 Aug 2026, 21:2614,633-833
21 Aug 2026, 12:1615,466-372
20 Aug 2026, 14:1215,838-529
19 Aug 2026, 10:4816,367first reading

Engagement

961 posts held, back to 6 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 90 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
0.019%
avg views ÷ 51,998 subscribers
Avg views / post
9.9
526 posts measured
Reaction rate
14.3%
reactions ÷ views · ER floor
Posts in window
527
of 961 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 3 of 526 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 2 October 2026
Posts held961 (6 August 2026 – 2 October 2026)
Views total5,186
Reactions total2
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken2 Oct 2026, 17:59 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

Photos
≈10,500
Videos
≈5,930
Links
≈16,500

Lifetime counters from Telegram’s own channel header, read 2 October 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.

Video runtime
1h 20m
Average length
19s

Measured directly from 256 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

5 reactions across 5 posts, in 2 distinct kinds. The most used accounts for 80.0% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤480.0%
💩120.0%

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 6 of the 961 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 5 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 961 most recent posts we hold, published 6 August 2026 to 2 October 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

2 Oct 2026, 17:00 UTC1 viewsread 2 October 2026
Forwarded from @FJD666666Video

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2 Oct 2026, 16:01 UTC1 viewsread 2 October 2026
Forwarded from @quanqiubaoliaoPhoto

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2 Oct 2026, 14:01 UTC1 viewsread 2 October 2026
Forwarded from @quanqiubaoliaoVideo

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2 Oct 2026, 12:53 UTC6 viewsread 2 October 2026

做过精聊,股票。找稳定公司上班,要人的联系我,中介勿扰,人在四川。飞机联系 @eguotou88

2 Oct 2026, 12:20 UTC7 viewsread 2 October 2026

想出去发展,有靠谱的公司吗。还有公司缺人招人的联系 ,体育勿扰,帮忙发一下有靠谱的联系@wbrbfk

2 Oct 2026, 12:06 UTC6 viewsread 2 October 2026

求职,做过2年客服,4年风控 ,经验丰富,求职风控或者客服岗位。不去柬埔寨 缅甸。 亚博系不去! @paixingxinga

2 Oct 2026, 12:01 UTC2 viewsread 2 October 2026
Forwarded from @quanqiubaoliaoPhoto

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2 Oct 2026, 11:03 UTC2 viewsread 2 October 2026
Forwarded from @FJD666666Video

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2 Oct 2026, 10:16 UTC9 viewsread 2 October 2026

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2 Oct 2026, 09:03 UTC11 viewsread 2 October 2026

兄弟,帮忙发一下帖,盘口老板有没有要人的。有一个人要的话可以来在国内,黑中介勿扰,。 @yybb33111

2 Oct 2026, 09:00 UTC2 viewsread 2 October 2026
Forwarded from @FJD666666Photo

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2 Oct 2026, 08:49 UTC9 viewsread 2 October 2026

小团队随时可以走 找一个缅甸的公司 方便小路出去的 因为以前我们都在缅甸 做过快杀 2.0 商城 资金 什么盘口都做过 都有经验 做过组长管理 不要卖人头的 不要中介 不要骗招 能安排出门就来 @lulu6688666

Showing the 12 most recent of 961 posts we hold for @jpzqiuzhi. 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.

Forward network

Built only from forwarded posts we have actually read, on both sides. Coverage is early and deliberately incomplete: a missing link means we have not read the post that would prove it, never that the relationship does not exist. Counts are distinct forwarded posts observed, so they only ever go up as we read more.

Mentions

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.

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.

威尼斯人-官方招商
@wnsgg · 434
55 posts
威尼斯人-优惠活动
@wnsrhd · 283
55 posts
8T娱乐城 官方-频道
@www8tcom · 37,061
55 posts
🏆【开云体育🔥爱游戏/华体会/乐鱼💥九游/星空/OD/米兰】🌐官方总部招商🅥🔥
@ky7888 · 136,142
54 posts
N9.COM|官方频道
@N9_com1 · 12,570
52 posts
N9.COM 福利频道导航
@n9pd888 · 7,450
52 posts
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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.

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 2 October 2026 — this entry's latest reading, not the date you are reading this.

“柬埔寨🌍《 柬 泰 缅 老挝》求职频道” (@jpzqiuzhi), 51,998 subscribers as measured 2 October 2026. Telegram Register, tgregister.com/channel/jpzqiuzhi.

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.