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 10 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
15 measurements spanning 22 days, net -1,228. 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 77,176–78,772 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
18 Sept 2026, 08:40
77,360
-111
16 Sept 2026, 03:55
77,471
-19
14 Sept 2026, 09:22
77,490
-75
12 Sept 2026, 17:56
77,565
-127
10 Sept 2026, 17:59
77,692
-179
7 Sept 2026, 17:39
77,871
-211
4 Sept 2026, 19:01
78,082
-78
3 Sept 2026, 06:57
78,160
-75
2 Sept 2026, 00:17
78,235
-64
1 Sept 2026, 00:16
78,299
-82
30 Aug 2026, 23:17
78,381
-69
29 Aug 2026, 20:09
78,450
-74
28 Aug 2026, 21:35
78,524
-43
27 Aug 2026, 23:47
78,567
-21
27 Aug 2026, 00:30
78,588
first reading
Engagement
43 posts held, back to 17 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 61 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
2.65%
avg views ÷ 77,360 subscribers
Avg views / post
2,050
19 posts measured
Reaction rate
0.081%
reactions ÷ views · ER floor
Posts in window
19
of 43 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 16 of 19 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 23 September 2026
Posts held
43 (17 July 2026 – 23 September 2026)
Views total
39,020
Reactions total
28
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
26 Sept 2026, 13:13 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
44
Links
714
Lifetime counters from Telegram’s own channel header, read 26 September 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.
Reaction mix
68 reactions across 30 posts, in 5 distinct kinds. The most used accounts for 92.6% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
63
92.6%
🥰
2
2.94%
👍
1
1.47%
👎
1
1.47%
🔥
1
1.47%
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 33 of the 43 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 68 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 43 most recent posts we hold, published 17 July 2026 to 23 September 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.
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AI bisa membantu. Tapi bukan sekadar “tanya AI lalu copy-paste”. Kita perlu tahu cara menggunakannya untuk pekerjaan yang nyata.
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🎉 Sertifikat Anda Telah Terbit!
📢 Disarankan akses menggunakan laptop untuk pengalaman terbaik.
🚨 JANGAN KASIH KODE OTP!
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📅 17 - 18 September 2026
⏰ Pukul 19:30 WIB – 21:00 WIB
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🚨 JANGAN KASIH KODE OTP!
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*📚 Diklat Strategi Mengatasi Pengaruh Buruk Sosial Media dan AI pada Siswa dalam Kepribadian dan Pembelajaran*
📅 17 - 18 September 2026
⏰ Pukul 19:30 WIB – 21.00 WIB
___
🔹 1️⃣ Post-Test (Tutup Besok!)
📅 20 September 2026
⏰ Pukul 14.00 WIB
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📚 *Diklat Strategi Mengatasi Pengaruh Buruk Sosial Media dan AI pada Siswa dalam Kepribadian dan Pembelajaran*
📅 18 September 2026
⏰ Pukul 19:30 WIB – 21:00 WIB
__
⚠️ *Kesulitan Akses Presensi?*
Jangan panik! Jika link sibuk, coba lagi besok. Tidak perlu terburu-buru.
__
🔗1. Link Presensi melalui Channel WhatsApp atau Link ini!
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__
🎥 2. P…
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🚨 PERINGATAN: JANGAN KASIH KODE OTP! 🚨
Kode OTP bersifat rahasia. Jika ada yang meminta, bisa dipastikan itu penipuan!
📚 *Diklat Strategi Mengatasi Pengaruh Buruk Sosial Media dan AI pada Siswa dalam Kepribadian dan Pembelajaran*
📅 18 September 2026
⏰ Pukul 19:30 WIB – 21:00 WIB
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🚨 PERINGATAN: JANGAN KASIH KODE OTP! 🚨
Kode OTP bersifat rahasia. Jika ada yang meminta, bisa dipastikan itu penipuan!
📚 *Diklat Strategi Mengatasi Pengaruh Buruk Sosial Media dan AI pada Siswa dalam Kepribadian dan Pembelajaran*
📅 18 September 2026
⏰ Pukul 19:30 WIB – 21:00 WIB
✨ Akses Kegiatan dengan Mudah! ✨
1️⃣ Live di YouTube 🎥
▶️ https://youtube.com…
📌 PRESENSI BISA HARI INI ATAU BESOK!
📚 *Diklat Strategi Mengatasi Pengaruh Buruk Sosial Media dan AI pada Siswa dalam Kepribadian dan Pembelajaran*
📅 17 September 2026
⏰ Pukul 19:30 WIB – 21:00 WIB
__
⚠️ *Kesulitan Akses Presensi?*
Jangan panik! Jika link sibuk, coba lagi besok. Tidak perlu terburu-buru.
__
🔗1. Link Presensi melalui Channel WhatsApp atau Link ini!
👉 https://klikini.id/live-diklatseri35-26
__
🎥 2. P…
*🎯 LIVE SEKARANG! DIKLAT MALAM INI TELAH DIMULAI!*
🚨 PERINGATAN: JANGAN KASIH KODE OTP! 🚨
Kode OTP bersifat rahasia. Jika ada yang meminta, bisa dipastikan itu penipuan!
📚 *Diklat Strategi Mengatasi Pengaruh Buruk Sosial Media dan AI pada Siswa dalam Kepribadian dan Pembelajaran*
📅 17 September 2026
⏰ Pukul 19:30 WIB – 21:00 WIB
✨ Akses Kegiatan dengan Mudah! ✨
1️⃣ Live di YouTube 🎥
▶️ https://youtube.com/live/4r…
*🎯 PERSIAPKAN DIRI! DIKLAT MALAM INI AKAN SEGERA DIMULAI!*
🚨 PERINGATAN: JANGAN KASIH KODE OTP! 🚨
Kode OTP bersifat rahasia. Jika ada yang meminta, bisa dipastikan itu penipuan!
📚 *Diklat Strategi Mengatasi Pengaruh Buruk Sosial Media dan AI pada Siswa dalam Kepribadian dan Pembelajaran*
📅 17 September 2026
⏰ Pukul 19:30 WIB – 21:00 WIB
✨ Akses Kegiatan dengan Mudah! ✨
1️⃣ Live di YouTube 🎥
▶️ https://youtube.com…
Bapak/Ibu Guru yang kami hormati,
Sebelum mengikuti kegiatan pelatihan, mohon kesediaan Bapak/Ibu untuk mengisi Pre-Test melalui tautan berikut:
🔗 Link Pre-Test:
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Mohon mengisi sesuai dengan pemahaman dan pengalaman Bapak/Ibu saat ini. Tidak perlu kh…
🚨 BESOK MALAM DIMULAI!
📱🤖 Sosial media dan AI semakin dekat dengan kehidupan siswa. Bagaimana guru dapat mendampingi mereka dengan tepat?
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🚨 SOSMED & AI MAKIN DEKAT DENGAN SISWA, TAPI APA DAMPAKNYA? 📱🤖
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📢 Diklat Strategi Mengatasi Pengaruh Buruk Sosial Media dan AI pada Siswa dalam Kepribadian dan Pembelajaran
🗓 17–18 September 2026
🕢 19.30–21.00 WIB
💻 Live Zoom & YouTube
🔥 Jangan hanya melihat dampaknya—bekali diri dengan …
❤6
Showing the 12 most recent of 43 posts we hold for @diklat_gurumengajar. 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.
Channels Telegram recommends alongside this one
Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.
Read from Telegram’s recommendation API, most recently 27 August 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.
Appears in Telegram’s recommendations for other channels
The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.
Studio Bahan Ajar @StudioBahanAjarByEdukarya · 35,894 Telegram ranks this channel #1 of 60 here — alongside 59 others — read 1 September 2026
gurumengajar @gurumengajar · 134,410 Telegram ranks this channel #2 of 53 here — alongside 52 others — read 27 August 2026
gurumengajar.id @digitalisasisekolah · 138,924 Telegram ranks this channel #2 of 51 here — alongside 50 others — read 27 August 2026
Напоминание сердец🫀 @aaaaaestheticsssss · 174,383 Telegram ranks this channel #6 of 41 here — alongside 40 others — read 27 August 2026
Diklat Guru Juara @RuangGuruJuara · 21,855 Telegram ranks this channel #7 of 68 here — alongside 67 others — read 22 September 2026
Kelas Belajar Era Digital @eventbedki · 72,144 Telegram ranks this channel #7 of 53 here — alongside 52 others — read 27 August 2026
Free Diklat BED @FreeDiklatBED · 32,525 Telegram ranks this channel #10 of 47 here — alongside 46 others — read 4 September 2026
Komunitas PMM Belajar Era Digital @belajareradigital · 60,511 Telegram ranks this channel #10 of 64 here — alongside 63 others — read 2 September 2026
BELAJAR BERSAMA @belajarbersamagurujuara · 211,196 Telegram ranks this channel #18 of 67 here — alongside 66 others — read 27 August 2026
This channel appears in 9 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
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 18 September 2026 — this
entry's latest reading, not the date you are reading this.
“Diklat gurumengajar” (@diklat_gurumengajar), 77,360 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/diklat_gurumengajar.
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.