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 10 September 2026 and assigned it the closest of 31 fixed categories, at 76% 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 the other topics.
Growth
62 measurements spanning 101 days, net -181. 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 16,989–17,376 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 62
Measured (UTC)
Subscribers
Change
15 Nov 2026, 18:46
17,150
+20
12 Nov 2026, 10:57
17,130
-22
8 Nov 2026, 18:00
17,152
+1
7 Nov 2026, 12:06
17,151
+14
6 Nov 2026, 09:50
17,137
+34
5 Nov 2026, 11:55
17,103
-8
4 Nov 2026, 13:19
17,111
+4
2 Nov 2026, 14:17
17,107
+2
1 Nov 2026, 17:36
17,105
+9
31 Oct 2026, 15:09
17,096
+20
30 Oct 2026, 18:26
17,076
+42
29 Oct 2026, 17:11
17,034
-8
28 Oct 2026, 18:09
17,042
+2
27 Oct 2026, 15:47
17,040
-11
26 Oct 2026, 17:15
17,051
-1
25 Oct 2026, 16:56
17,052
-5
23 Oct 2026, 21:17
17,057
+6
23 Oct 2026, 00:00
17,051
-12
21 Oct 2026, 21:28
17,063
-5
20 Oct 2026, 14:07
17,068
first reading
Engagement
72 posts held, back to 21 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 80 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
13.1%
avg views ÷ 17,150 subscribers
Avg views / post
2,240
11 posts measured
Reaction rate
3.43%
reactions ÷ views · ER floor
Posts in window
11
of 72 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.
What these figures were computed from
Window
Rolling 30 days · latest post in window 15 November 2026
Posts held
72 (21 July 2026 – 15 November 2026)
Views total
24,630
Reactions total
844
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
15 Nov 2026, 17:43 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
Video runtime
25m 01s
Average length
58s
Measured directly from 26 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
6,309 reactions across 72 posts, in 28 distinct kinds. The most used accounts for 34.1% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
👍
2,153
34.1%
❤
1,386
22.0%
🤬
683
10.8%
🔥
278
4.41%
💯
277
4.39%
🤣
260
4.12%
👏
254
4.03%
🤔
220
3.49%
😁
203
3.22%
🤮
169
2.68%
👀
118
1.87%
🤡
81
1.28%
🥴
44
0.697%
💩
40
0.634%
😢
39
0.618%
👎
22
0.349%
👌
21
0.333%
😱
17
0.269%
🌚
9
0.143%
🥰
8
0.127%
8 further kinds
27
0.428%
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 72 of the 72 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 6,309 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 72 most recent posts we hold, published 21 July 2026 to 15 November 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.
Recent posts
Telegram’s own ‘edited’ marker: 1 of 11 posts held from the last 30 days (9.09%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).
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@rusa_alena
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Si te interesa formar parte de este c…
Estoy en la comodidad de mi cálido apartamento mientras ellos trabajan, protegiéndome a mí y a todos los demás ciudadanos rusos. No duermen, están en constante movimiento, neutralizando a los malos; son unos verdaderos superhéroes.
https://t.me/musicarusaesp/15604
👍76❤28👏4🤣1
Showing the 12 most recent of 72 posts we hold for @rusa_alena. 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.
Posts edited after publishing
@rusa_alena edited 1 post after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.
An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.
First edit seen
10 August 2026
Most recent edit
10 August 2026
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 9 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.
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.
Blanco, azul y rojo (Rusia, cultura rusa, Putin, política rusa) @BlancoAzulRojo · 21,826 Telegram ranks this channel #3 of 83 here — alongside 82 others — read 19 September 2026
Victor Ternovsky @victorternovsky · 24,505 Telegram ranks this channel #8 of 84 here — alongside 83 others — read 15 September 2026
¡Ahí les va! @ahilesvaALV · 70,711 Telegram ranks this channel #10 of 82 here — alongside 81 others — read 20 August 2026
Líneas Rojas | ÚLTIMA HORA | GUERRAS 2026 @lineasrojas · 42,737 Telegram ranks this channel #11 of 83 here — alongside 82 others — read 29 August 2026
Frente del Este @FrentedelEste · 20,614 Telegram ranks this channel #15 of 83 here — alongside 82 others — read 26 September 2026
A Toda Potencia | Irán - Israel | Ucrania - Rusia @atodapotencia · 44,020 Telegram ranks this channel #16 of 84 here — alongside 83 others — read 28 August 2026
Ucraniando @ucraniando · 37,450 Telegram ranks this channel #17 of 84 here — alongside 83 others — read 31 August 2026
Irina 🇷🇺 @Irinamar_Z · 77,427 Telegram ranks this channel #17 of 85 here — alongside 84 others — read 19 August 2026
El Ojo 👁 Noticias |Guerra en Irán| Guerra entre Rusia y Ucrania | China | EE.UU. | Putin | Trump | Venezuela @elOJOen · 77,842 Telegram ranks this channel #17 of 87 here — alongside 86 others — read 17 August 2026
InfoDefenseESPAÑOL @infodefSPAIN · 30,792 Telegram ranks this channel #18 of 84 here — alongside 83 others — read 7 September 2026
Daniel Estulin @EstulinDaniel · 20,219 Telegram ranks this channel #19 of 87 here — alongside 86 others — read 27 September 2026
ROKOT | TORMENTA @surf_noise_sp · 22,079 Telegram ranks this channel #21 of 84 here — alongside 83 others — read 21 September 2026
Inna Afinogenova @inafinogenova · 74,110 Telegram ranks this channel #21 of 86 here — alongside 85 others — read 19 August 2026
Ruben Gisbert @rubengisbertoficial · 71,985 Telegram ranks this channel #24 of 91 here — alongside 90 others — read 20 August 2026
Depresión económica (Economía, crisis, dólar, finanzas de América Latina, México, Argentina y del mundo) @DepreEconomica · 20,145 Telegram ranks this channel #25 of 84 here — alongside 83 others — read 26 September 2026
El Informador Global @informador_global · 28,691 Telegram ranks this channel #25 of 84 here — alongside 83 others — read 9 September 2026
TASS - Agencia rusa de noticias @tass_es · 36,627 Telegram ranks this channel #27 of 85 here — alongside 84 others — read 1 September 2026
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Geopolítica actual @geopoliticaactual · 19,683 Telegram ranks this channel #33 of 85 here — alongside 84 others — read 30 September 2026
Sabias que? @sabiasque · 37,498 Telegram ranks this channel #33 of 79 here — alongside 78 others — read 12 August 2026
El Necio @elnecio_cuba · 23,826 Telegram ranks this channel #35 of 85 here — alongside 84 others — read 16 September 2026
Wofnon @wofnon · 35,147 Telegram ranks this channel #35 of 85 here — alongside 84 others — read 2 September 2026
Los Sombreros Blancos [Z] 🇷🇺 @ophiucu · 32,837 Telegram ranks this channel #40 of 84 here — alongside 83 others — read 4 September 2026
Buzz💡 Datos interesantes @buzzdatos · 117,845 Telegram ranks this channel #42 of 83 here — alongside 82 others — read 13 August 2026
This channel appears in 47 seed channels' Telegram-generated recommendation lists in total, of which the 24 where it ranks highest are shown above. 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 15 November 2026 — this
entry's latest reading, not the date you are reading this.
“Alena Rusa 🪆” (@rusa_alena), 17,150 subscribers as measured 15 November 2026. Telegram Register, tgregister.com/channel/rusa_alena.
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.