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 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
32 measurements spanning 40 days, net -972. 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 27,842–29,530 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 32
Measured (UTC)
Subscribers
Change
17 Sept 2026, 06:40
28,037
-105
15 Sept 2026, 03:56
28,142
-120
13 Sept 2026, 09:59
28,262
-237
11 Sept 2026, 11:19
28,499
-61
8 Sept 2026, 14:36
28,560
-75
5 Sept 2026, 11:14
28,635
-33
3 Sept 2026, 14:17
28,668
-87
2 Sept 2026, 06:44
28,755
-78
1 Sept 2026, 05:25
28,833
-30
31 Aug 2026, 05:12
28,863
-20
30 Aug 2026, 02:11
28,883
-14
29 Aug 2026, 02:53
28,897
-24
28 Aug 2026, 01:52
28,921
-15
27 Aug 2026, 03:45
28,936
-12
26 Aug 2026, 01:53
28,948
-4
25 Aug 2026, 04:32
28,952
-11
24 Aug 2026, 01:16
28,963
-5
22 Aug 2026, 08:57
28,968
-64
20 Aug 2026, 23:52
29,032
-82
19 Aug 2026, 22:34
29,114
first reading
Engagement
28 posts held, back to 28 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 63 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
18.4%
avg views ÷ 28,037 subscribers
Avg views / post
5,150
12 posts measured
Reaction rate
2.18%
reactions ÷ views · ER floor
Posts in window
12
of 28 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 17 September 2026
Posts held
28 (28 July 2026 – 17 September 2026)
Views total
61,770
Reactions total
1,345
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
24 Sept 2026, 02:26 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
≈1,170
Videos
≈669
Links
≈44
Lifetime counters from Telegram’s own channel header, read 24 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
3m 20s
Average length
17s
Measured directly from 12 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
5,621 reactions across 28 posts, in 7 distinct kinds. The most used accounts for 42.7% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
2,401
42.7%
🔥
1,604
28.5%
😁
616
11.0%
😍
463
8.24%
🥰
413
7.35%
😱
79
1.41%
🏆
45
0.801%
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 28 of the 28 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 5,621 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 28 most recent posts we hold, published 28 July 2026 to 17 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
11
across the posts below
Posts paid on
7
of 28 we hold a reading for · 25%
Most on one post
3
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @voilokovaa. 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 28 most recent posts we hold for this entry, published 28 July 2026 to 17 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.
3 месяца назад я показывала вам результат Юли. Здесь можете почитать про наш результат.
Казалось бы, прекрасное «ДО/ПОСЛЕ» 😄
Но я прекрасно понимала, что это только начало. И вот прошло еще 3 месяца.
И пора показывать новое до/после.
Но последние месяцы наша цель - уже далеко не просто цифра на весах.
Когда Юля пришла ко мне, она была уверена:
«Я ПУХНУ ОТ УГЛЕВОДОВ».
Чем меньше ела - тем лучше.
А по факту, постоянн…
Как и полагается после долгого перерыва без тренировок адская мышечная боль будет со мной как минимум недельку🥹🥲🥲
Но сейчас не об этом.
Как-нибудь расскажу, способы облегчить это состояние))
Знаете, что самое обидное?
Я тренер, и я прекрасно ЗНАЮ, как тренироваться, как питаться и что нужно делать для результата. Но увы и ах, даже мне одних знаний недостаточно.
Потому что знать, вообще не то же самое, что системат…
Меня можно поздравить!
Вчера наконец-то состоялась первая тренировка после операции🥹 Решила провести ее не в зале, а на улице!
У Влада есть традиция, каждое воскресенье - 100 подтягиваний. Вне зависимости от настроения и погоды. Поэтому как переехали первым делом пошли искать турник.
И я просто обожаю такой подход. Тренировки для нас давно не зависят от мотивации, это просто стало образом жизни.
Сейчас пока что в …
Макарошки с креветками и гребешками🍝🍤
На 2 порции:
Макарошки 150 гр
Гребешки 150
Креветки 500
Масло кунжутное 10
Паста трюфельная 10
1. Макарошки сварить
2. Жарим креветки с двух сторон по 3 мин с каждой стороны. Чуть паприки добавляем, чеснок сушенный.
3. Грешки аналогично, но по 1.5 мин с каждой стороны.
4. Воду от макарон не сливаем, все смешиваем в сковородке.
5. Добавляем пасту трюфельную, соль.
6. При подаче…
Следующая наша съемка в Москве была вместе с нутрициологом Людой.
Люда нас тоже накормила от души)) Приготовила говяжий язык, гречку, печеночный паштет с чечевичными булочками и овощи с зеленью. Было очееень вкусно, много и полезно) я 100 лет не ела язык, хотя очень его люблю, но готовится он долго, купить хороший сложный, да и самое главное достаточно жирный источник белка, поэтому много и на постоянке я себе позво…
Недавно показала, что у меня дома есть целый шкафчик со сладостями
И понеслась…
«Я бы всё это сожрала за один вечер»
«Я бы не смогла спать, зная, что столько сладостей лежит дома»
«У меня такое дома вообще нельзя держать»
И почему при виде шкафа со сладким первая мысль - это съесть ВСЁ?🥲
Я все дело как раз часто в отношении к сладкому.
Когда шоколад - это что-то запрещённое, вредное, «мне нельзя/ только одну дольк…
❤119🔥25😍17
Showing the 12 most recent of 28 posts we hold for @voilokovaa. 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.
Stars beside a post are paid reactions — Telegram Stars, bought with money and spent on that post. They are a different unit from reactions and are never added to them, here or anywhere else on this page.
Forward network
Republishes
Channels on the register whose posts this channel has forwarded.
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 17 September 2026 — this
entry's latest reading, not the date you are reading this.
“Voilokovaaa” (@voilokovaa), 28,037 subscribers as measured 17 September 2026. Telegram Register, tgregister.com/channel/voilokovaa.
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.
