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Telegram profile photo for 斯里兰卡|迪拜|求职|找工作|甩人

Channel

斯里兰卡|迪拜|求职|找工作|甩人

@SLLKQZ1

On this record: Topic · Observations · Channels linked by matching posts · Growth · Engagement · What this channel posts · Reactions · Posts · Posts recorded as deleted · Citations · Handles named that no longer answer · Cite this entry

95,619subscribers

+33,946 since we began measuring on 10 August 2026

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

Register entry

Telegram ID-1001763412442
TypeChannel
Username@SLLKQZ1
Description#求职 #甩人 #招聘 #找工作 #迪拜 #斯里兰卡 👍求职投稿合作: @QZTG8_bot
CreatedBetween 1 December 2021 and 30 April 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded10 August 2026
Last confirmed live12 November 2026
Measurements held60
Confirmed unchanged1 time, most recently 12 November 2026
On Telegramt.me/SLLKQZ1

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 9 September 2026 and assigned it the closest of 31 fixed categories, at 91% 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 the other topics.

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.

Content that also appears on other registered channels

Posts published here appear in near-verbatim form on 12 other registered channels. This entry also sits inside a group of 8 channels linked by matching posts, directly or through other channels in the group; two members of the group may share no posts 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.

Matching posts — open both and compare (6 of the pairs behind the counts below)
Posted firstThenOverlapGap
@YTT789/6306013 Aug 2026, 10:36 UTC@SLLKQZ1/10689 · this entry13 Aug 2026, 11:45 UTC1.0069 minutes
@YTT789/6357222 Aug 2026, 10:39 UTC@SLLKQZ1/11106 · this entry22 Aug 2026, 10:39 UTC1.00under a minute
@YTT789/6667416 Oct 2026, 12:28 UTC@SLLKQZ1/13864 · this entry16 Oct 2026, 12:28 UTC1.00under a minute
@YTT789/6681319 Oct 2026, 09:48 UTC@SLLKQZ1/13994 · this entry19 Oct 2026, 10:08 UTC1.0020 minutes
@YTT789/6683719 Oct 2026, 17:00 UTC@SLLKQZ1/14081 · this entry21 Oct 2026, 17:00 UTC1.002 days
@YTT789/676986 Nov 2026, 09:42 UTC@SLLKQZ1/14533 · this entry6 Nov 2026, 09:42 UTC1.00under a minute
Channels this entry shares post bodies with, where at least one matching post pair has no forward credit between the two channels, or to a common source, recorded in our data
ChannelMatching postsText overlapTypical gapPublished first
@YTT78927 (7/8 hand-verifiable sample passed)1.0011 minutes@YTT789 (26–1)
@YYL11716 (7/8 hand-verifiable sample passed)1.003.3 hoursthis entry (15–1)
@dibaivv13 (8/8 hand-verifiable sample passed)1.0013 minutes@dibaivv (11–2)
@abcbm12 (7/8 hand-verifiable sample passed)1.002.3 hoursthis entry (10–2)
@QZZPP669 (8/8 hand-verifiable sample passed)1.0084 minutesthis entry (5–4)
@yatai0038 (7/8 hand-verifiable sample passed)1.0027 hoursthis entry (8–0)
@lee_0011228 (8/8 hand-verifiable sample passed)1.001.7 hours@lee_001122 (7–1)
@DLBGB8 (8/8 hand-verifiable sample passed)1.001.7 hours@DLBGB (7–1)
@YTT7838 (8/8 hand-verifiable sample passed)1.001.7 hours@YTT783 (7–1)
@YTT7868 (8/8 hand-verifiable sample passed)1.003 minutes@YTT786 (7–1)
@YTT3578 (8/8 hand-verifiable sample passed)1.001.7 hours@YTT357 (7–1)
@qiuzhi09997 (5/7 hand-verifiable sample passed)1.0019 minutes@qiuzhi0999 (4–3)

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. 90 of the 90 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 370 comparable posts for this entry, running 10 August 2026 to 14 November 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.

  • Verbatim republication has three causes and the text separates only two: a clone/mirror, unattributed copy-paste, or BOTH channels copying a common third source that neither attributes. The spread filter (content held by at most 8 channels) reduces the third and does not remove it.
  • 'Earliest' means earliest IN THIS CORPUS. A channel ingested one page deep will look younger than a neighbour ingested in full; corpus_coverage above is there to be checked before the direction is believed.
  • shared_verified_est extrapolates the sampled pass rate over the full narrow match count; sampled/passed are the numbers actually measured.
  • Absence of a forward header is not proof of intent: Telegram lets a channel disable forward attribution, and a credit written in the body is not parsed as attribution here (mention_edge_either_way above is the closest available signal).

Of the group of 8 channels, the one whose matching posts we hold earliest is @YTT783. That is a statement about our reading window, not a claim of authorship.

Recorded under the keys clone_copy · clone_mutual · clone_source, last confirmed 14 November 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.

Channels linked by matching posts

This channel is in a group of 8 registered channels linked by matching posts, directly or through other channels in the group. This channel may share no posts with some of the channels listed below, and listed channels may share none with each other. Links are found by comparing text fingerprints across every channel on the register.

Which channel, if either, published first is deliberately not shown in this list. “First” could only mean first in our own crawl, which depends on how deep we happened to reach into each channel’s history, not on when the content was actually first posted. Our one hand-check read 45 of the highest-confidence flagged pairs against the live Telegram pages. In 18 of them the live page showed a “Forwarded from” credit that our database had no record of, so reading that pair as an unattributed copy was wrong; the check did not measure who published first. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Near-verbatim 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

57,804123,01390,408.510 August 2026 — 61,673 subscribers11 August 2026 — 64,442 subscribers12 August 2026 — 74,769 subscribers13 August 2026 — 74,756 subscribers14 August 2026 — 74,719 subscribers16 August 2026 — 74,646 subscribers17 August 2026 — 74,585 subscribers18 August 2026 — 74,575 subscribers19 August 2026 — 74,499 subscribers20 August 2026 — 72,879 subscribers21 August 2026 — 60,443 subscribers23 August 2026 — 59,920 subscribers24 August 2026 — 59,847 subscribers25 August 2026 — 59,800 subscribers27 August 2026 — 59,605 subscribers28 August 2026 — 57,804 subscribers28 August 2026 — 67,564 subscribers29 August 2026 — 88,946 subscribers31 August 2026 — 110,141 subscribers1 September 2026 — 111,373 subscribers1 September 2026 — 112,688 subscribers2 September 2026 — 114,121 subscribers4 September 2026 — 115,455 subscribers6 September 2026 — 115,240 subscribers10 September 2026 — 115,050 subscribers12 September 2026 — 114,526 subscribers14 September 2026 — 113,954 subscribers15 September 2026 — 113,223 subscribers17 September 2026 — 112,184 subscribers27 September 2026 — 104,490 subscribers4 October 2026 — 121,642 subscribers9 October 2026 — 85,827 subscribers13 October 2026 — 82,150 subscribers14 October 2026 — 79,727 subscribers15 October 2026 — 86,093 subscribers16 October 2026 — 91,944 subscribers17 October 2026 — 96,703 subscribers18 October 2026 — 102,073 subscribers19 October 2026 — 107,924 subscribers20 October 2026 — 111,351 subscribers22 October 2026 — 114,828 subscribers23 October 2026 — 111,305 subscribers24 October 2026 — 108,099 subscribers25 October 2026 — 104,983 subscribers26 October 2026 — 102,632 subscribers27 October 2026 — 100,188 subscribers28 October 2026 — 98,400 subscribers29 October 2026 — 96,428 subscribers30 October 2026 — 123,013 subscribers31 October 2026 — 118,220 subscribers1 November 2026 — 114,910 subscribers2 November 2026 — 112,183 subscribers3 November 2026 — 110,323 subscribers4 November 2026 — 108,766 subscribers5 November 2026 — 107,163 subscribers6 November 2026 — 105,076 subscribers7 November 2026 — 103,125 subscribers8 November 2026 — 100,863 subscribers10 November 2026 — 98,986 subscribers12 November 2026 — 95,619 subscribers95,61910 August 202612 November 2026
60 measurements spanning 94 days, net +33,946. 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 48,023–132,794 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 60
Measured (UTC)SubscribersChange
12 Nov 2026, 03:0895,619-3,367
10 Nov 2026, 03:0698,986-1,877
8 Nov 2026, 20:41100,863-2,262
7 Nov 2026, 10:07103,125-1,951
6 Nov 2026, 08:40105,076-2,087
5 Nov 2026, 09:21107,163-1,603
4 Nov 2026, 05:59108,766-1,557
3 Nov 2026, 05:50110,323-1,860
2 Nov 2026, 08:46112,183-2,727
1 Nov 2026, 10:10114,910-3,310
31 Oct 2026, 10:06118,220-4,793
30 Oct 2026, 07:41123,013+26,585
29 Oct 2026, 08:0696,428-1,972
28 Oct 2026, 05:4798,400-1,788
27 Oct 2026, 04:06100,188-2,444
26 Oct 2026, 01:11102,632-2,351
25 Oct 2026, 01:21104,983-3,116
24 Oct 2026, 00:59108,099-3,206
23 Oct 2026, 02:25111,305-3,523
22 Oct 2026, 02:39114,828first reading

Engagement

2,554 posts held, back to 10 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 198 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
1.26%
avg views ÷ 95,619 subscribers
Avg views / post
1,210
715 posts measured
Reaction rate
0.14%
reactions ÷ views · ER floor
Posts in window
715
of 2,554 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 5 of 715 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 15 November 2026
Posts held2,554 (10 August 2026 – 15 November 2026)
Views total863,526
Reactions total8
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken15 Nov 2026, 02:22 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
130
Links
65

Lifetime counters from Telegram’s own channel header, read 15 November 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.

Video runtime
2m 52s
Average length
7s

Measured directly from 24 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

8 reactions across 4 posts, in 4 distinct kinds. The most used accounts for 37.5% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤337.5%
💩337.5%
🖕112.5%
🤬112.5%

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 7 of the 1,000 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 8 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 1,000 most recent posts we hold (the sample is capped at 1,000), published 3 October 2026 to 15 November 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

Telegram’s own ‘edited’ marker: 0 of 715 posts held from the last 30 days (0%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).

15 Nov 2026, 00:00 UTC8 viewsread 15 November 2026
Photo

🎥#付费曝光 曝光欠款人 王建飞 身份证号:320582198206194510 户籍管辖:江苏省张家港市公安局合兴派出所 社会名:#飞飞 #飞总 #飞哥 说明一下事实 避免被歪曲 王建飞通过三角关系 实际使用了由我本人账户转出的资金 该笔资金并非赠与 并非自愿承担 而是被其明确用于赌博 截至目前情况如下: • 欠款时间:已拖欠 半年以上 • 资金来源:本人账户实际支出 • 资金用途:赌博 • 处理情况:多次私下沟通 提醒 等待 • 现在结果:拒绝正面回应 拒绝给出还款时间 期间对方不断否认关系 推卸责任 转移话题 但钱从哪来 被谁用 怎么用的 证据我这边全部留存 现在公开曝光只有一个目的 要么还钱 要么承担后果 不接受继续装不清楚 不回应 不负责 如仍拒不处理 后续将不再私下联系 只通过曝光与合法方式持续推进 认识王建飞 与其有资金或合作往来的 请自行提高警惕 @DLBGB #曝光 #骗子 #王建飞 …

14 Nov 2026, 15:28 UTC14 viewsread 15 November 2026
Photo

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14 Nov 2026, 13:32 UTC19 viewsread 15 November 2026

找老板,是这样本人99年人,19年开始接触偏门,精通飞机业务,因为工作室被自己人点了,进去就好刚出来,现在找老板合作本人在自己有项目,做好一年7位数不是问题,可以去当地做,需要投资小几万块钱,那些缺项目的看一下真诚合作, @awei248

14 Nov 2026, 12:22 UTC19 viewsread 15 November 2026

国内有一个成熟的海外项目寻资合作有兴趣的联系 @chen8993

14 Nov 2026, 10:57 UTC20 viewsread 15 November 2026

在国内做过推广和客服,现在想去外面做,中介勿扰 @szc7070qw

14 Nov 2026, 10:56 UTC20 viewsread 15 November 2026

男,中国籍,人在泰国,去过菲律宾,找个职能岗,不做业绩岗,找个菲律宾或者泰国,居家办公,亚博系勿扰 亚博系勿扰 亚博系勿扰 亚博系勿扰 护照正常在手。有公司需要的联系 @wuqing888888888

14 Nov 2026, 10:53 UTC20 viewsread 15 November 2026

求职,求职想出国闯一闯,现在负债累累,有推广经验,或者国内有好工作也可以去,或者线上远程度可以,做什么度可以,柬埔寨缅甸鸭脖不去,有好工作可以滴滴我 @yafei168

14 Nov 2026, 10:46 UTC19 viewsread 15 November 2026

国内求职.任何赚钱项目都可以,本人做事利索,人 靠谱.嘴严.保密意识强.之前做过不少业务,国内任何地方都可以去,不出国.叫做炮灰 勿扰 @bs9199

14 Nov 2026, 10:34 UTC19 viewsread 15 November 2026
Photo

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14 Nov 2026, 09:49 UTC18 viewsread 15 November 2026

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14 Nov 2026, 09:45 UTC18 viewsread 15 November 2026

@zhi594088 你好帮我发布一下,做过精聊,快杀,熟悉各种模式,马上过年了,想在国内找个靠谱的工作室,做事态度认真,希望一起做出点东西,有靠谱的老板联系一下。不出国不出国!

14 Nov 2026, 09:45 UTC20 viewsread 15 November 2026
Photo

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Showing the 12 most recent of 2,554 posts we hold for @SLLKQZ1. 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.

Posts recorded as deleted after publishing

We recorded 8 posts on @SLLKQZ1 as deleted — posts this register held that were missing from the channel’s public page on two separate reads, taken from different network addresses at least an hour apart.

A deletion is not wrongdoing. This register can see that a post it held is no longer on the channel’s public page, and when — not why. Expired ad placements, reposts, rotating links and corrections all look the same. This is a count of recorded detections, not an exact total: it misses deletions we could not see, because only a post we held and later re-read inside the page can be seen to go, and it may include a small number of wrong records. How this is measured.

First seen missing
23 September 2026
Most recent seen missing
31 October 2026
Median time before seen missing
16 hours
Seen missing in the last 30 days
6

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.

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 12 November 2026 — this entry's latest reading, not the date you are reading this.

“斯里兰卡|迪拜|求职|找工作|甩人” (@SLLKQZ1), 95,619 subscribers as measured 12 November 2026. Telegram Register, tgregister.com/channel/SLLKQZ1.

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.