Other / unclassifiable — 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 9 September 2026 and assigned it the closest of 31 fixed categories, at 61% 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
40 measurements spanning 69 days, net -1,088. 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 29,302–30,716 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 40
Measured (UTC)
Subscribers
Change
14 Oct 2026, 16:46
29,465
-31
13 Oct 2026, 05:10
29,496
-36
9 Oct 2026, 01:59
29,532
-101
4 Oct 2026, 18:37
29,633
-117
26 Sept 2026, 22:39
29,750
-146
19 Sept 2026, 17:01
29,896
-38
17 Sept 2026, 06:17
29,934
-37
15 Sept 2026, 09:21
29,971
-4
13 Sept 2026, 15:18
29,975
-30
11 Sept 2026, 21:20
30,005
-22
9 Sept 2026, 09:17
30,027
-52
6 Sept 2026, 02:18
30,079
-31
3 Sept 2026, 22:19
30,110
-18
2 Sept 2026, 14:18
30,128
-21
1 Sept 2026, 16:44
30,149
-17
31 Aug 2026, 16:12
30,166
-6
30 Aug 2026, 12:47
30,172
-15
29 Aug 2026, 13:58
30,187
-14
28 Aug 2026, 13:44
30,201
-30
27 Aug 2026, 10:19
30,231
first reading
Engagement
38 posts held, back to 2 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 110 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
5.42%
avg views ÷ 29,465 subscribers
Avg views / post
1,600
7 posts measured
Reaction rate
0.144%
reactions ÷ views · ER floor
Posts in window
7
of 38 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 5 of 7 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 4 October 2026
Posts held
38 (2 July 2026 – 4 October 2026)
Views total
11,172
Reactions total
11
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
14 Oct 2026, 12:23 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.
Reaction mix
50 reactions across 21 posts, in 2 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
❤
47
94.0%
👍
3
6.00%
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 23 of the 38 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 50 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 38 most recent posts we hold, published 2 July 2026 to 4 October 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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1. Lomba Menulis Artikel
2. Lomba Opini
Timeline
- Pendaftaran dan …
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Showing the 12 most recent of 38 posts we hold for @informasilomba. 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.
Handles this channel named that no longer answer
Dead references
7
handles named in this channel’s posts, vacant today
Evidenced gone
0
we ourselves saw one of these resolve, at some point
Never seen alive
7
vacant every time we have ever looked
@informasilomba named 7 handles that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all. A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
Never seen alive
References a handle that is not a live channel — we have no record it ever was one.
@pin_unila named in 10 posts, 8 August 2026 – 2 September 2026
@eufoghia named in 10 posts, 8 August 2026 – 2 September 2026
@fpcindo named in 7 posts, 5 October 2026 – 14 October 2026
@chinaembassy_indonesia named in 7 posts, 5 October 2026 – 14 October 2026
@pelitafair named in 6 posts, 8 August 2026 – 16 August 2026
@pelitauntidar named in 6 posts, 8 August 2026 – 16 August 2026
@nbpcunesa2026 named in 5 posts, 8 August 2026 – 16 August 2026
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 7 September 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.
Info Beasiswa Indonesia @InfoBeasiswaIDN · 69,088 Telegram ranks this channel #3 of 32 here — alongside 31 others — read 7 September 2026
LEMBAGA KOMPETISI INDONESIA @lembagakompetisi · 52,343 Telegram ranks this channel #12 of 28 here — alongside 27 others — read 1 September 2026
Webinar Nasional 🏷 @webinar_nasional · 26,492 Telegram ranks this channel #21 of 57 here — alongside 56 others — read 17 September 2026
This channel appears in 3 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 14 October 2026 — this
entry's latest reading, not the date you are reading this.
“Informasi Lomba” (@informasilomba), 29,465 subscribers as measured 14 October 2026. Telegram Register, tgregister.com/channel/informasilomba.
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.