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 95% 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
34 measurements spanning 43 days, net -732. 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 21,016–21,968 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 34
Measured (UTC)
Subscribers
Change
19 Sept 2026, 13:59
21,126
-61
17 Sept 2026, 05:39
21,187
-46
15 Sept 2026, 03:58
21,233
-40
13 Sept 2026, 11:56
21,273
-34
11 Sept 2026, 16:19
21,307
-44
9 Sept 2026, 00:21
21,351
-71
5 Sept 2026, 15:36
21,422
-54
3 Sept 2026, 16:57
21,476
-22
2 Sept 2026, 12:23
21,498
-31
1 Sept 2026, 09:54
21,529
-16
31 Aug 2026, 12:28
21,545
-25
30 Aug 2026, 09:19
21,570
-2
29 Aug 2026, 06:07
21,572
+3
28 Aug 2026, 05:33
21,569
-14
27 Aug 2026, 07:15
21,583
-19
26 Aug 2026, 05:33
21,602
-18
25 Aug 2026, 07:07
21,620
-20
24 Aug 2026, 09:29
21,640
-18
22 Aug 2026, 13:46
21,658
-26
21 Aug 2026, 00:43
21,684
first reading
Engagement
32 posts held, back to 1 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 57 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
8.08%
avg views ÷ 21,126 subscribers
Avg views / post
1,710
5 posts measured
Reaction rate
2.70%
reactions ÷ views · ER floor
Posts in window
5
of 32 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 3 September 2026
Posts held
32 (1 August 2026 – 3 September 2026)
Views total
8,530
Reactions total
230
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
3 Sept 2026, 15:30 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
4m 15s
Average length
26s
Measured directly from 10 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
1,558 reactions across 32 posts, in 11 distinct kinds. The most used accounts for 23.6% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
💔
367
23.6%
🥰
302
19.4%
😍
226
14.5%
🔥
169
10.8%
💘
133
8.54%
💯
123
7.89%
🍓
104
6.68%
💋
76
4.88%
😱
27
1.73%
👍
22
1.41%
😭
9
0.578%
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 32 of the 32 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 1,558 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 32 most recent posts we hold, published 1 August 2026 to 3 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.
Telegram Stars
Stars received
3
across the posts below
Posts paid on
2
of 32 we hold a reading for · 6%
Most on one post
2
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @elisavetamua. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.
Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.
This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.
Counted over the 32 most recent posts we hold for this entry, published 1 August 2026 to 3 September 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.
когда твоя единственная забота 1 сентября - это поменять духи и косметику на осеннюю🍂.
а всем для кого эта дата все еще означает первый день учебы - желаю удачного и продуктивного учебного года🤎.
p.s. как же я ждала осень ради парфюмооов, почти все мои парфюмы мега сладкие, теплые, осенние! а по angels share я так безумно соскучилась, потому что могу его носить ради атмосферы исключительно осенью!
такая я была летом 2026💔…
буду очень скучать по моему любимому сезону, а сейчас включаю режим: уютные посиделки дома под теплые напитки, сериалы и атмосферные песни🍂.
а как вы провели свое лето? жду ваш фотоотчет😘.
мои АНТИ-румяна на эту осень🤎🤎👜.
ещё недавно все болели румяновой слепотой, а сейчас… вместо привычных розовых/персиковых румян используют бежевые, лилово-бежевые или даже коричневые оттенки. кто-то обьясняет цвет как цвет: румян+бронзера.
а ещё важно не переборщить с пигментом, разумеется.
к удивлению, у меня таких оттенков в коллекции оказалось не мало и я просто обожаю их! так как мне кажется, что это выглядит …
это было прекрасное завершение лета, потому что на выходных ко мне приехала сис💔.
в этот раз было много ностальгии, старых песен и осознания того, что мы выросли, хахаха🥹…
скоро всеее возвращаются на учебу и вот как выглядела бы моя косметичка📦:
хоть я уже закончила и школу, и универ - тэг бэк ту скул просто необходимость и хочется понастольгировать лишний раз.
флюид - relouis 02
тон - glow me 02
консилер - essence 50
румяна art-visage 04
скульптор - shik 01
пудра - b.colour 02
гель для ресниц - pusy
помада - shik 07
😘и не забывайте, что можно ставить видео на 2х.
помните невероятные матовые тени от kiko с шимером?✨
многие до сих пор сращивают меня о них, но их постоянно нет в наличии.
меня тени от кико устраивают от и дооо, текстура, цвет, стойкость, шимер. нооо наличиеееее.
и тут сидела на зя, выбирала продукты для обзора и вспомнила, что у арт-визаж вроде бы был аналог, которого тоже вечно не было в наличии, а тут он был наконец-то в наличии!
итого: да, они максимально …
пропала на 3 дня, но
зато вернулась с какими новинками💄🧴💄.
и это новые стики от SHIK - тональные стики, скульптор и румяна.
и если тональные стики вызывали у меня сложности… тяжело тушевались, расслаивались и легли в конечно итоге не идеально на мою хорошую кожу, ахаха. пока что их вообще не поняла, буду ещё тестировать… пока что ощущение такое же, как от стика dior, ахахах.
🫧то вот контур-стик и румяна это ВАУ! в…
после того как попробовала гель от pusy для ресниц так и хочется попробовать эту тушь от refy👄…
🧴ибо у них похожи щеточки… резиновые и нестандартные. гель от пуси мне реально оч нравится, тк натурально разделяет ресницы, а тут щеточка выглядит ещё привлекательнее… но сделана почти по такому же принципу. но это все-таки тушь, а значит взгляд будет чуть ярче.
но как же мне не нравится идея о том, что за тушь надо пе…
это что за румяна пикми максимальные, ахахах👠💋🧕.
нашла вот такое чудо в летуаль от бренда летуаль за 600₽…
единственный минус, они тяжеловато набираются на кисть, но я на них капаю молочко/тонер и они становятся более кремовыми
и тогда пигмент уже набирается лучше, но ЭТИ БЛЕСТКИ В НИХ… первый раз вижу румяна именно с таким шимером✨.
оттенок 001💋.
одна капля дождя на асфальт и ветряная погода = пора задуматься об осеннем гардеробе🥲…
и хоть я обожаю всем сердцем лето, самые классные, стильные, атмосферные образы составить возможно только осенью🍁☕️🎃.
я как всегда хочу много чего, в бежево-коричневых оттенках, но, наверное, больше всего - резиновые сапоги hunter.
как минимум - в сибири это реально самая практичная обувь, ахахах. и для резиновых сапог они супер…
🥰23💋9💔6
Showing the 12 most recent of 32 posts we hold for @elisavetamua. 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.
“elisávetamua” (@elisavetamua), 21,126 subscribers as measured 19 September 2026. Telegram Register, tgregister.com/channel/elisavetamua.
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.