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 93% 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
33 measurements spanning 43 days, net +6,730. 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 22,088–30,893 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 33
Measured (UTC)
Subscribers
Change
19 Sept 2026, 15:17
29,838
-29
17 Sept 2026, 04:00
29,867
-6
15 Sept 2026, 06:58
29,873
-4
13 Sept 2026, 16:58
29,877
+5
11 Sept 2026, 22:21
29,872
+59
9 Sept 2026, 12:59
29,813
+1,441
6 Sept 2026, 06:59
28,372
+1,381
4 Sept 2026, 03:56
26,991
+550
2 Sept 2026, 19:49
26,441
+345
1 Sept 2026, 16:56
26,096
+25
31 Aug 2026, 14:23
26,071
+31
30 Aug 2026, 16:33
26,040
+17
29 Aug 2026, 14:13
26,023
+33
28 Aug 2026, 11:27
25,990
+32
27 Aug 2026, 08:07
25,958
+30
26 Aug 2026, 09:37
25,928
+9
25 Aug 2026, 09:32
25,919
+54
24 Aug 2026, 10:43
25,865
+110
22 Aug 2026, 17:17
25,755
+59
21 Aug 2026, 10:13
25,696
first reading
Engagement
69 posts held, back to 5 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 59 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
9.72%
avg views ÷ 29,838 subscribers
Avg views / post
2,900
17 posts measured
Reaction rate
0.27%
reactions ÷ views · ER floor
Posts in window
17
of 69 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 17 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 18 September 2026
Posts held
69 (5 August 2026 – 18 September 2026)
Views total
49,280
Reactions total
130
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
21 Sept 2026, 05:59 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
≈5,950
Videos
≈109
Links
≈1,090
Lifetime counters from Telegram’s own channel header, read 21 September 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 11s
Average length
2m 04s
Measured directly from 3 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
366 reactions across 55 posts, in 6 distinct kinds. The most used accounts for 94.0% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
344
94.0%
👍
8
2.19%
👏
6
1.64%
🥰
6
1.64%
🏆
1
0.273%
🙏
1
0.273%
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 60 of the 69 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 366 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 69 most recent posts we hold, published 5 August 2026 to 18 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.
[🎓 Undergraduate Scholarship Announcement 📣]
We are pleased to announce the Shinnyo-en Scholarship for the academic year 2026-2027.
The scholarship was initiated to provide financial support to second-year students in the Department of Japanese for the academic year 2026-2027.
Students who wish to apply may visit the designated location mentioned in the announcement.
🖇️ Download ➡️ https://t.me/iroffice_rupp/763
…
[🎓 2027 Spring Semester Exchange at Windesheim UAS 📣]
Windesheim University of Applied Sciences (WUAS) is now accepting nominations for students who wish to participate in the Spring Semester Exchange from February to June 2027 in the Netherlands. 🇳🇱
💰 The Erasmus+ scholarship for the exchange programme shall cover most expenses. Students are responsible for other expenses incurred before and during the mobility pe…
កិច្ចពិភាក្សាជាមួយក្រុមសាស្ត្រាចារ្យមកពីសាកលវិទ្យាល័យជាតិសេអ៊ូល (Seoul National University – SNU) ស្តីពីការចូលរួមរបស់និស្សិតក្នុងសកម្មភាពសេវាសង្គម
សាកលវិទ្យាល័យភូមិន្ទភ្នំពេញ៖ នាថ្ងៃទី៣០ ខែសីហា ឆ្នាំ២០២៦ សាកលវិទ្យាល័យភូមិន្ទភ្នំពេញ បានរៀបចំកិច្ចពិភាក្សាជាមួយក្រុមសាស្ត្រាចារ្យមកពី Seoul National University (SNU) ដើម្បីផ្លាស់ប្តូរបទពិសោធន៍ និងចែករំលែកគំនិតពាក់ព័ន្ធនឹង សកម្មភាពនិស្សិតក្នុងការចូលរួមផ្តល់សេវាសង្គម និងការ…
Showing the 12 most recent of 69 posts we hold for @ruppnews. 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
Names
Channels on the register whose handles appear in this channel's posts.
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 19 September 2026 — this
entry's latest reading, not the date you are reading this.
“សាកលវិទ្យាល័យភូមិន្ទភ្នំពេញ-RUPP” (@ruppnews), 29,838 subscribers as measured 19 September 2026. Telegram Register, tgregister.com/channel/ruppnews.
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.
