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Channel

找工作上菲龙网求职招聘

@flwph33

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

98,392subscribers

+26,389 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-1001243234227
TypeChannel
Username@flwph33
Description华人海外资讯|菲龙网新闻曝光动态 「菲龍网曝光」 : @flwph66 「菲龍网求职」 : @flwph33 「菲龍网新闻」 : @flwph99 【在下头很硬】萧秋水🧑‍⚖️ @flwzx 【在下头很硬】萧秋水🧑‍⚖️ @TT169bot 💬💬每日精选推送💬💬 新闻 |曝光 |求职 |头条 | 澄清
CreatedBetween 1 March 2018 and 31 August 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live10 November 2026
Measurements held64
Confirmed unchanged1 time, most recently 10 November 2026
On Telegramt.me/flwph33

Topic

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 9 September 2026 and assigned it the closest of 31 fixed categories, at 98% 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 2 other registered channels. 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
@flwph33/44559 · this entry7 Aug 2026, 11:00 UTC@flwph66/698147 Aug 2026, 11:00 UTC1.00under a minute
@flwph66/698267 Aug 2026, 12:00 UTC@flwph33/44573 · this entry7 Aug 2026, 14:00 UTC1.002.0 hours
@flwph33/44580 · this entry7 Aug 2026, 15:00 UTC@flwph66/698527 Aug 2026, 15:00 UTC1.00under a minute
@flwph33/44567 · this entry7 Aug 2026, 13:00 UTC@flwph66/698708 Aug 2026, 04:00 UTC1.0015 hours
@flwph33/45106 · this entry17 Aug 2026, 15:00 UTC@flwph66/7108617 Aug 2026, 15:01 UTC1.00under a minute
@flwph33/45096 · this entry17 Aug 2026, 13:00 UTC@flwph66/7214326 Aug 2026, 04:00 UTC1.009 days
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
@flwph669 (8/8 hand-verifiable sample passed)1.0016 hoursthis entry (8–1)
@flwph999 (8/8 hand-verifiable sample passed)1.003.0 hoursthis entry (8–1)

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. 2 of the 2 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 2,348 comparable posts for this entry, running 7 August 2026 to 10 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).

Recorded under the key clone_source, last confirmed 11 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.

Growth

61,70999,65480,681.598,3927 August 202610 November 2026
64 measurements spanning 95 days, net +26,389. 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 56,017–105,346 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 64
Measured (UTC)SubscribersChange
10 Nov 2026, 19:1098,392-453
9 Nov 2026, 02:4798,845-389
7 Nov 2026, 21:5499,234+1,715
6 Nov 2026, 22:2197,519-511
5 Nov 2026, 19:5898,030-245
4 Nov 2026, 16:1598,275-501
3 Nov 2026, 13:0998,776-878
2 Nov 2026, 11:3999,654+4,245
1 Nov 2026, 09:2695,409-290
31 Oct 2026, 11:2095,699-284
30 Oct 2026, 12:3795,983-902
29 Oct 2026, 12:2896,885-1,173
28 Oct 2026, 11:3098,058-317
27 Oct 2026, 12:2798,375-398
26 Oct 2026, 10:2098,773-304
25 Oct 2026, 12:0199,077-260
24 Oct 2026, 11:4699,337+2,829
23 Oct 2026, 14:1096,508-1,676
22 Oct 2026, 13:5598,184-990
21 Oct 2026, 10:4699,174first reading

Engagement

2,829 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 194 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
1.30%
avg views ÷ 98,392 subscribers
Avg views / post
1,280
1,001 posts measured
Reaction rate
0.076%
reactions ÷ views · ER floor
Posts in window
1,001
of 2,829 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 17 of 1,001 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 11 November 2026
Posts held2,829 (7 August 2026 – 11 November 2026)
Views total1,279,517
Reactions total17
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken11 Nov 2026, 09:40 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
≈3,160
Videos
≈1,360
Links
≈7,650

Lifetime counters from Telegram’s own channel header, read 11 November 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
36m 26s
Average length
15s

Measured directly from 142 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

17 reactions across 17 posts, in 9 distinct kinds. The most used accounts for 23.5% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🔥423.5%
❤211.8%
❤‍🔥211.8%
🍌211.8%
👍211.8%
👎211.8%
👌15.88%
👏15.88%
💔15.88%

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 17 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 17 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 12 October 2026 to 11 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 1,001 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).

11 Nov 2026, 09:01 UTC51 viewsread 11 November 2026
Photo

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11 Nov 2026, 08:04 UTC210 viewsread 11 November 2026
Photo

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11 Nov 2026, 07:25 UTC≈1,520 viewsread 11 November 2026

在妙瓦迪求职推广,能接高培的速度联系 @kebi518

11 Nov 2026, 07:25 UTC≈1,480 viewsread 11 November 2026

2020一2025在外做过快杀和精聊,人员有6人,可以0 -1项目搭建和完善操作,现找一家做海外精聊或快杀项目,有自己打粉的公司优先,希望能谈团队提成,有实力,有格局的老板,如果项目成熟,后期可再叫人。中介、体育盘、过时垃圾项目请勿扰!!! @jdz667788

11 Nov 2026, 07:24 UTC≈1,490 viewsread 11 November 2026

人在缅出园区来了中国籍诚心找个稳定靠谱公司。能谈的私,都是两年工作经验熟手。中介勿扰。无任何套路。@bshs1169

11 Nov 2026, 07:24 UTC≈1,490 viewsread 11 November 2026

求职:13个人在国内,现在打算找一个靠谱的公司寻求发展,二十多岁的年轻人,有干劲,可以正常办理护照的,求效益好,环境稳定的公司,中介,骗招,综合盘HR,想空手套白狼的不用联系我,不墨迹,来点能做实事的老板,画大饼的勿扰, @LIE1937

11 Nov 2026, 07:03 UTC≈1,510 viewsread 11 November 2026
Video

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11 Nov 2026, 06:01 UTC≈1,570 viewsread 11 November 2026
Video

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11 Nov 2026, 04:51 UTC≈1,530 viewsread 11 November 2026

求职SEO总监,9年工作经验,有海外国内0-1的经验精通shell,站群,寄生虫,二级目录,劫持,渗透手法,有巴西 印度 墨西哥 越南 市场经验 人在柬埔寨没有赔付, 找一家靠谱公司 亚博 勿扰 @m202628

11 Nov 2026, 04:51 UTC≈1,620 viewsread 11 November 2026

人在外地,刚过来这边,有护照,想出去外面拼一把,也实在没办法了,家里也有不小压力。有能安排的联系 @ak5411334

11 Nov 2026, 04:51 UTC≈1,600 viewsread 11 November 2026

求职,本人自己现在妙瓦底,有过精聊资金盘经验,在妙瓦底目前没有工作有点走投无路实在不知道干啥了,以前的公司搬走了,本人不想跟着到处跑,想上班 ,有没有公司能安排接的?别玩套路,真心找工作 ,中国人, @dogsa80008

11 Nov 2026, 04:51 UTC≈1,540 viewsread 11 November 2026

10年java程序员,找一份程序相关工作,也可以接程序相关的私活,也可以可以写各种程序自动化。@terrymoker

Showing the 12 most recent of 2,829 posts we hold for @flwph33. 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.

Mentions

Named by 49 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 21 listed below are the most frequent namers; the rest are counted above but not each listed.

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

“找工作上菲龙网求职招聘” (@flwph33), 98,392 subscribers as measured 10 November 2026. Telegram Register, tgregister.com/channel/flwph33.

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.