Marketing & affiliate — 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 11 August 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 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.
Content that also appears on other registered channels
Posts published here appear word for word on 1 other registered channel. 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)
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. None of the 2 matches recorded here fall after that date, so for this entry we cannot say whether any of them carried a credit. The duplication is measured; the absence of attribution is not.
“Published first” means first in this corpus. We hold 18 comparable posts for this entry, running 8 July 2026 to 6 August 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).
Across the whole group of 2, the earliest publisher we hold is @AzizanOsmanOfficial. That is a statement about our reading window, not a claim of authorship.
Recorded under the key clone_source, last confirmed 8 August 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 1 other registered channel, 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.
3 measurements spanning 4 days, net -15. 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 6,998–7,017 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
11 Aug 2026, 20:13
7,000
-11
8 Aug 2026, 20:53
7,011
-4
7 Aug 2026, 23:16
7,015
first reading
Engagement
20 posts held, back to 8 July 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 8 pagesof Telegram’s post history, 20 posts per page.
ERR · 30 days
2.71%
avg views ÷ 7,000 subscribers
Avg views / post
190
15 posts measured
Reaction rate
0.642%
reactions ÷ views · ER floor
Posts in window
15
of 20 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 15 measured posts that carry a reaction reading, and over those same posts' views.
What these figures were computed from
Window
Rolling 30 days · latest post in window 11 August 2026
Posts held
20 (8 July 2026 – 11 August 2026)
Views total
2,850
Reactions total
3
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
12 Aug 2026, 02:30 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
≈5,930
Videos
≈1,740
Links
≈4,980
Lifetime counters from Telegram’s own channel header, read 12 August 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
6m 38s
Average length
33s
Measured directly from 12 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
6 reactions across 5 posts, in 2 distinct kinds. The most used accounts for 66.7% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
4
66.7%
🤣
2
33.3%
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 20 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 6reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 20 most recent posts we hold, published 8 July 2026 to 11 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.
LET’S SWITCH!
IMKK IS COMING BACK.
Ada rasa yang dulu pernah hidup dalam diri kita…
Rasa percaya.
Rasa berani.
Rasa nak ubah hidup dan bisnes.
Mungkin sudah lama kita tinggalkan suasana itu.
Tapi kali ini, kita kembali bukan untuk ulang kisah lama.
Kita kembali untuk switch ke fasa seterusnya.
Let’s Switch. IMKK is coming back.
Reserve seat anda sekarang:
👉 alumni.richworks.com/telegram
Perubahan tidak berlaku hanya kerana kita mahu.
Ia bermula apabila kita berani membuat keputusan yang berbeza.
Let’s SWITCH! merupakan inisiatif terbaru RichWorks, khas untuk Alumni kami agar dapat kembali menilai kedudukan diri, mendapatkan hala tuju dan bergerak semula dengan lebih jelas lagi, insya-Allah.
Nak jadikana Alumni Pertama?
dapatkan akses anda, di alumni.richworks.com/letsswitch/tele-imk
Khas untuk semua Alumni RichWorks 2008–2026.
Apa jadi pada impian yang pernah anda perjuangkan dahulu?
Mungkin hari ini bisnes anda semakin berkembang.
Mungkin anda sedang membina semula.
Atau mungkin anda masih berjuang dalam diam.
Apa pun perjalanan anda hari ini, anda masih sebahagian daripada keluarga RichWorks.
Kami sedang mengumpulkan semula seluruh Alumni RichWorks dari tahun 2008 hingga 2026 dalam satu …
Apa yang anda rasa apabila melihat diri sendiri berada di persimpangan seperti ini?
Takut tersalah pilih?
Keliru nak bergerak ke arah mana?
Atau sebenarnya… anda sudah tahu keputusan yang perlu dibuat, cuma masih belum berani untuk melangkah?
Kadang-kadang, satu keputusan sahaja boleh mengubah seluruh perjalanan selepas ini.
MAKE A MOVE.
LET’S SWITCH.
Selepas ini, akan ada lebih banyak move, peluang dan pengumu…
Masih ingat suara ini?
Kalau ya…
Mungkin ini adalah permulaan kepada sesuatu yang anda tunggu selama ini.
LET’S SWITCH.
Selepas 18 tahun, sesuatu sedang disediakan khas untuk Alumni RichWorks.
Pengumuman pertama akan dibuat di Telegram Alumni.
👉 https://alumni.richworks.com/telegram
Komen “YES” kalau anda masih bersama kami. 🔥
Inspirasi Datuk Wira, saya dan RichWorks…
Anda yang kami cari.
Khas buat Alumni RichWorks dari tahun 2008 hingga 2026 nantikan sesuatu yang besar bakal tiba.
Something BIG is Coming.
Sertai Telegram Alumni RichWorks di sini:
👉 http://alumni.richworks.com/telegram
Ada masanya, bukan bisnes yang perlu berubah—tetapi cara kita berfikir, membuat keputusan dan melihat peluang.
Mungkin sudah tiba masanya untuk SWITCH.
Something Big Is Coming.
Jom kembali bersama RichWorks Alumni.
Telegram RichWorks Alumni:
https://alumni.richworks.com/telegram
#LetsSwitch #RichWorksAlumni #ReconnectTrackGrow #BusinessGrowth #Entrepreneurship
EVERY FOUNDER HAS A MOMENT TO SWITCH.
Ada satu masa dalam perjalanan seorang usahawan, kita sedar bahawa perubahan bukan lagi pilihan, tetapi satu keperluan.
Something Big Is Coming.
Alumni RichWorks, sertai Telegram Alumni di sini:
http://alumni.richworks.com/telegram
#LetsSwitch #RichWorksAlumni #FounderJourney
Kadang-kadang seorang founder bukan hilang kemampuan. Dia cuma terlalu lama berjuang seorang diri sehingga tidak lagi nampak jalan.
Beberapa hari lalu, saya mengadakan private session bersama Tuan Johamri dari Kota Kinabalu, Alumni Titan RichWorks yang mengusahakan bisnes kereta terpakai dan kedai emas.
Selepas melalui fasa mencabar dan terpaksa menutup beberapa kedai, tenaga serta keyakinannya semakin hilang. Namu…
Pasukan yang kecil tidak bermaksud bisnes perlu kekal kecil.
Semalam, saya berpeluang bertemu dan mendengar sendiri perjalanan Puan Haridah Sahri dari Tasneem Naturel HQ serta hala tuju yang mahu dicapai selepas ini.
Sasaran beliau cukup besar, iaitu membawa Tasneem Natural ke tahap RM40 hingga RM50 juta, insya-Allah.
Saya dapat rasakan kesungguhan di sebalik sasaran itu. Namun, sasaran yang besar juga memerlukan …
Masya-Allah, tabarakallah. Alhamdulillah, saya benar-benar terharu dan sebak.
Sejak saya mula duduk dan mendengar kisah alumni satu demi satu, semakin ramai yang mula menghantar PM, WhatsApp dan menyertai Telegram Alumni RichWorks.
Yang dahulu malu, perlahan-lahan mula berani muncul.
Yang takut untuk bercerita, mula membuka hati.
Yang hilang arah, mula bertanya tentang langkah seterusnya.
Yang selama ini menangi…
Assalamualaikum Alumni RichWorks 🤍
Video Puan Hajah Junaidah, pengasas Andalusia Tijarah, selepas menyertai ICM Johor Bahru ini sangat menyentuh hati saya. Inisiatif Alumni RichWorks membuatkan beliau kembali rasa rindu, dekat dan bersemangat bersama RichWorks.
Kepada alumni yang belum bersama kami, klik dan sertai Telegram rasmi sekarang:
👉 http://alumni.richworks.com/telegram
Selepas masuk, komen tahun dan prog…
Showing the 12 most recent of 20 posts we hold for @RichWorksOfficial. 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
Republishes
Channels on the register whose posts this channel has forwarded.
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.
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 11 August 2026 — this
entry's latest reading, not the date you are reading this.
“RichWorks X” (@RichWorksOfficial), 7,000 subscribers as measured 11 August 2026. Telegram Register, tgregister.com/channel/RichWorksOfficial.
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.