Education — 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 14 September 2026 and assigned it the closest of 31 fixed categories, at 100% 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.
Growth
13 measurements spanning 40 days, net +4. 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 3,121–3,131 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
15 Sept 2026, 13:17
3,130
+7
12 Sept 2026, 06:15
3,123
+1
7 Sept 2026, 23:16
3,122
-3
3 Sept 2026, 00:17
3,125
-1
27 Aug 2026, 23:54
3,126
+2
25 Aug 2026, 01:15
3,124
-1
22 Aug 2026, 00:07
3,125
-1
19 Aug 2026, 04:02
3,126
+2
16 Aug 2026, 08:24
3,124
+2
12 Aug 2026, 21:53
3,122
-1
10 Aug 2026, 03:51
3,123
-3
7 Aug 2026, 02:07
3,126
no change
6 Aug 2026, 14:51
3,126
first reading
Engagement
8 posts held, back to 12 April 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 3 pages of Telegram’s 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 — we hold 8 posts for this entry, the most recent from 18 May 2026. An engagement rate over an empty window would be a number about nothing.
Reaction mix
7 reactions across 4 posts, in 2 distinct kinds. The most used accounts for 85.7% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
6
85.7%
👍
1
14.3%
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 4 of the 8 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 7 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 8 most recent posts we hold, published 12 April 2026 to 18 May 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.
SOALAN PENTAKSIRAN FORMATIF 2026 by Cikgu Gorgeous
📚✨ “Nak murid lebih bersedia sebelum UASA?”
Ramai cari latihan biasa… tapi yang betul-betul ikut format semasa tak banyak. 👀
Disusun khas untuk bantu guru, murid & ibu bapa buat persediaan lebih awal!
✅ Mengikut sub tajuk terkini
✅ Berpandukan buku teks semasa
✅ Format UASA terkini
✅ Lengkap objektif & subjektif
✅ Jawapan disediakan
✅ Dalam bentuk Word & editable
…
🔥 𝗦𝗢𝗔𝗟𝗔𝗡 𝗣𝗣𝗧 & 𝗨𝗣𝗦𝗔 𝗦𝗞 𝟮𝟬𝟮𝟲 🔥𝗦𝗲𝘁 𝘁𝗲𝗿𝗸𝗶𝗻𝗶 𝘆𝗮𝗻𝗴 𝗹𝗲𝗻𝗴𝗸𝗮𝗽, 𝗸𝗲𝗺𝗮𝘀 & 𝘀𝗲𝗱𝗶𝗮 𝘂𝗻𝘁𝘂𝗸 𝗴𝘂𝗿𝘂 𝗱𝗮𝗻 𝗶𝗯𝘂 𝗯𝗮𝗽𝗮 😍
✨ Disediakan oleh guru berpengalaman mengikut format semasa
✨ Soalan tersusun, jelas & mesra cetakan
✨ Lengkap dengan skema jawapan penuh
✨ Percuma JSU untuk memudahkan perancangan guru
✨ Format Word boleh edit & turut disediakan dalam PDF
✨ Set latihan sesuai untuk ulang kaji, peperiksaan & kelas tambahan
✨ 2 set soalan b…
📚 Set Nota & Soalan Premium 2026 Paling Lengkap
💡 Nota Ringkas, Padu & Mudah Hadam
– Disusun ikut silibus terkini KPM 2026
– Fokus pada isi penting sahaja, tak serabut
– Bantu anak faham lebih cepat tanpa tekanan
📝 Koleksi Soalan & Latihan Berfokus
– Pelbagai set latihan ala peperiksaan sebenar
– Disertakan jawapan lengkap & skema
– Sesuai untuk latih tubi.
💾 Akses Versi Digital (PDF)
– Tak perlu tunggu, terus dap…
🔥 SOALAN PPT / UPSA SEKOLAH RENDAH 2026 🔥
Nak jimat masa, hasilkan kertas soalan berkualiti & nampak profesional? Ini solusi yang ramai cikgu dah guna!
💼 Set lengkap terus boleh guna – tak perlu pening kepala bina dari awal
✔️ Disediakan oleh guru berpengalaman mengikut subjek
✔️ Siap dengan JSU PERCUMA
✔️ Skema jawapan lengkap & mudah rujuk
✔️ 2 set soalan setiap subjek
✔️ Muat turun selepas pembelian
📚 SUBJEK YA…
KOLEKSI PENTAKSIRAN & UJIAN FORMATIF PERTENGAHAN TAHUN 2026
📚 Ibu bapa & guru, dah bersedia UJIAN PERTENGAHAN SESI AKADEMIK?
Kami bantu mudahkan kerja anda dengan set soalan lengkap & berkualiti tinggi—disusun mengikut DSKP terkini dan format semasa!
✅ Sesuai untuk murid Tahun 1 hingga Tahun 6
✅ Disediakan oleh guru berpengalaman
✅ Boleh terus cetak & guna dalam kelas atau di rumah
📥 Dapatkan sekarang di sini 👉
ht…
❤2
Showing the 8 most recent of 8 posts we hold for @bahancikgugorgeous. 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
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
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 2 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.
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 15 September 2026 — this
entry's latest reading, not the date you are reading this.
“Bahan CIKGU GORGEOUS” (@bahancikgugorgeous), 3,130 subscribers as measured 15 September 2026. Telegram Register, tgregister.com/channel/bahancikgugorgeous.
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.