Education โ a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channelโs own recent posts on 13 September 2026 and assigned it the closest of 31 fixed categories, at 99% confidence. This is a modelโs 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 โ 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
15 measurements spanning 51 days, net -77. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between โ snapshots are recorded only when a count changes, so gaps mean โno change observedโ, never โinterpolatedโ. The vertical axis spans 4,992โ5,157 and does not start at zero.
Measurement log โ every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
26 Sept 2026, 08:41
5,011
-54
15 Sept 2026, 20:36
5,065
+1
12 Sept 2026, 01:00
5,064
+20
7 Sept 2026, 13:58
5,044
+2
2 Sept 2026, 18:16
5,042
+1
31 Aug 2026, 01:15
5,041
+2
27 Aug 2026, 17:55
5,039
+3
25 Aug 2026, 04:37
5,036
-6
22 Aug 2026, 08:16
5,042
-96
19 Aug 2026, 02:58
5,138
+10
15 Aug 2026, 17:26
5,128
+11
12 Aug 2026, 13:36
5,117
+18
9 Aug 2026, 23:44
5,099
+8
7 Aug 2026, 06:33
5,091
+3
6 Aug 2026, 14:35
5,088
first reading
Engagement
16 posts held, back to 9 May 2025 โ the reader has not yet reached the start of this channelโs public history, so older posts may sit further back, unread. Read across 8 pages of Telegramโs post history, 20 posts per page.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute โ we hold 16 posts for this entry, the most recent from 22 April 2026. An engagement rate over an empty window would be a number about nothing.
What this channel posts
Video runtime
2m 17s
Average length
27s
Measured directly from 5 videos with a duration reading, out of the posts we hold for this channel โ not this channelโs 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 Telegramโs own rounded chrome, so it carries no โ mark.
Reaction mix
30 reactions across 8 posts, in 2 distinct kinds. The most used accounts for 70.0% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
โค
21
70.0%
๐
9
30.0%
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 โ ๐ is thanks in one channel and mourning in another โ 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 โ 4.34K, 1.2M โ 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 10 of the 16 sampled posts in this sample. Summed by Telegramโs own count on each post โ not by adding up the per-emoji breakdown above โ those same posts carry 30 reactions in total: the kind of figure the paragraph above means by โa reaction total printed elsewhere on the pageโ.
Measured over the 16 most recent posts we hold, published 9 May 2025 to 22 April 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.
๐e๐ฆp๐ฅa๐ญe F๐i๐ฅ ๐n๐ญe๐ซv๐ขu C๐S P๐P๐ ๐0๐6 โจ
Sebab dah ramai PM kita, duk tanya pasal template fail interviu so nahh kita up juga la kat sini ya ๐๐ฌ
RM 10 jerrr
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Dan InsyaAllah nak tanya apa-apa tentang interviu atau pendidikan, saya sudi berkongsi. Alhamdulilah tahun lepas pun ramai customer template ni yang lulus masuk PDPP IPGM โบ๏ธ
httpโฆ
Assalamualaikum and hi guys!
Berikut saya kongsikan borang sinopsis buku HRMIS ya untuk cikgu-cikgu copy paste dari Words tu ke bentuk borang sinopsis yang terkini ๐๐ป
Sebab saya punya Words bagi sinopsis buku tu, zaman SPLKPM masih wujud hehehe ๐
๐ฅ Temuduga PDPP makin dekat? Jangan risau! ๐ฅ
Dapatkan Template Fail Temu Duga PDPP yang:
โ Lengkap & ikut format senarai semak terkini
โ Mudah edit โ terus print je!
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โ Bantu anda tampil lebih bersedia & yakin ๐ฏ
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Ramai dah guna & panel temuduga puji sebab nampak tersusun kemas dokumennya ๐
Komen โNAKโ atau klik sini ๐ [https://wa.me/60169166268]
Assalamualaikum dan Salam Sejahtera.
Maaf ya sebab tak selalu update. Hari ini saya nak kongsikan salah satu platform AI yang dihasilkan oleh Cikgu Vironica dalam membantu memudahkan urusan guru-guru di Malaysia. Terima kasih cikgu! โค๏ธ
Cara nak guna, boleh rujuk video tutorial yang saya lampirkan ini ya.
Pautan ChatGPT Ulasan Buku SPLKPM ๐
๐ป [https://chatgpt.com/g/g-675d0e72844481919634a5af1e0d5792-ulasan-buku-untโฆ
Perkongsian Pintar bersama Tc Juwaina ๐ฉ๐ปโ๐ซ pinned ยซโจ SINOPSIS BUKU SPLKPM โจ Hanya 3-4 buah buku sahaja setiap tahun yang saya buat bagi memenuhi mata kredit maksimum untuk pembacaan buku iaitu 20 mata. U/p: 1 buah buku boleh mendapat 6 mata kredit beserta 1 hari LDPยป
Showing the 12 most recent of 16 posts we hold for @sinopsisbukuCikguJuwaina. 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 โ was rounded by Telegram before we ever saw it โ t.me prints views in full below 1,000 and to three significant figures above, so โ1,200,000 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.
Mentions
Named by 1 registered channel โ 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 โ that handle may belong to someone else now, and crediting todayโs namer to yesterdayโs 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 โ 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 โ the โNamed by N registered channelsโ 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 26 September 2026 โ this
entry's latest reading, not the date you are reading this.
โPerkongsian Pintar bersama Tc Juwaina ๐ฉ๐ปโ๐ซโ (@sinopsisbukuCikguJuwaina), 5,011 subscribers as measured 26 September 2026. Telegram Register, tgregister.com/channel/sinopsisbukuCikguJuwaina.
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 ยท 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.