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 11 September 2026 and assigned it the closest of 31 fixed categories, at 78% 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
25 measurements spanning 90 days, net -245. 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 9,540–9,859 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 25
Measured (UTC)
Subscribers
Change
5 Nov 2026, 00:58
9,577
-14
1 Nov 2026, 17:36
9,591
-11
29 Oct 2026, 11:59
9,602
-10
26 Oct 2026, 00:45
9,612
-9
23 Oct 2026, 00:41
9,621
-12
20 Oct 2026, 09:55
9,633
-5
17 Oct 2026, 17:58
9,638
-9
14 Oct 2026, 19:18
9,647
-8
11 Oct 2026, 13:40
9,655
-13
4 Oct 2026, 20:36
9,668
+19
25 Sept 2026, 14:39
9,649
-11
17 Sept 2026, 03:17
9,660
-10
13 Sept 2026, 14:17
9,670
-13
9 Sept 2026, 15:57
9,683
-23
3 Sept 2026, 23:02
9,706
-14
31 Aug 2026, 16:42
9,720
-8
28 Aug 2026, 06:34
9,728
-10
25 Aug 2026, 03:38
9,738
-12
22 Aug 2026, 03:36
9,750
-13
19 Aug 2026, 04:57
9,763
first reading
Engagement
38 posts held, back to 4 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 46 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
10.1%
avg views ÷ 9,577 subscribers
Avg views / post
972
10 posts measured
Reaction rate
5.03%
reactions ÷ views · ER floor
Posts in window
11
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.
What these figures were computed from
Window
Rolling 30 days · latest post in window 6 November 2026
Posts held
38 (4 August 2026 – 6 November 2026)
Views total
9,716
Reactions total
489
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
7 Nov 2026, 11:08 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
≈2,940
Videos
≈1,600
Links
≈165
Lifetime counters from Telegram’s own channel header, read 7 November 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
5m 49s
Average length
18s
Measured directly from 19 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
1,419 reactions across 37 posts, in 17 distinct kinds. The most used accounts for 42.4% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
602
42.4%
🔥
550
38.8%
👍
78
5.50%
👏
65
4.58%
😍
37
2.61%
🥰
29
2.04%
🙏
23
1.62%
💯
11
0.775%
❤🔥
8
0.564%
🤩
4
0.282%
✍
3
0.211%
👌
3
0.211%
😢
2
0.141%
🎉
1
0.07%
💋
1
0.07%
🤝
1
0.07%
🤣
1
0.07%
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 37 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 1,419 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 4 August 2026 to 6 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.
Advertising
Ad load
5.26%
2 of 38 posts carry an ad marker
Regulatory tokens
2
posts carrying an erid · 2 distinct tokens
Median views · ads
905
over 2 measured posts
Median views · rest
993
over 35 measured posts
An ad marker, not a judgement about a post. A post is counted here because it carries one of two explicit markings: an erid token, which Russian law has required on paid placements since 2022 and which is issued against a specific advertising contract, or a #реклама / #ad hashtag in the body, which is the channel declaring it itself. The first is documentary; the second is a self-declaration and is weaker. No classifier reads the text and decides — nothing on this site guesses that a post is an advertisement.
This is a floor, and it can only ever be a floor. A channel that runs paid placements without marking them produces no marker for us to count, and an unmarked ad is indistinguishable from an ordinary post on the public surface. The ad load above therefore means “the share of posts that declared themselves”, never “the share of posts that were paid for”. A low figure is not evidence of a channel that runs few ads.
Both figures are medians, and no ratio between them is published. Each is a view reading that actually occurred on a post, picked by percentile_disc rather than averaged, so one viral post cannot move it and no interpolated value is invented between two readings. The sample on one side is under five posts, which is too thin to compare. The two figures are shown side by side with the count behind each, and deliberately not divided into a headline like “ads get x% fewer views” — an arithmetic that is easy to print and, at this sample size, means nothing.
Advertising tokens recorded on this entry
erid
Posts
First seen
Last seen
2VSb5xF9xkA
1
22 August 2026
22 August 2026
2W5zFHf2AYr
1
5 November 2026
5 November 2026
A token repeated across several posts is one advertising contract placed more than once, which is what the identifier is for. The strings are reproduced exactly as they appeared in the post or in its click-through URL and are not validated against any registry — we record the marker a channel published, and whether it resolves to a real contract is a question for the register that issued it.
Measured over the 38 most recent posts we hold, published 4 August 2026 to 6 November 2026. Views are the latest single reading held for each post, and any reading at or above 1,000 is rounded by Telegram to three significant figures.
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).
Какая крутая коллаборация вышла😍🔥
SMORODINA и MONOCHROME сделали лимитированный набор «Антистресс» и это прям то, что нам нужно сейчас, девочки, с этой серостью и мраком за окном.
Отдельный лайк косметичке - она сделана из ткани знаменитых фирменных пуховиков MONOCHROME - розовая, стильная, её просто приятно держать в руках. Если вы модница, она точно должна быть у вас 😉
Ну и косметичек много не бывает 😄 и эта уже …
Ёлки на улицах Москвы намекают, что до Нового года рукой подать 🙈.
А это и хорошо, потому что это напоминает нам купить подарки заранее.
Отличный подарочный бокс на бором хитов VT с ПДРН уже сделали BeBeauty. Именно у них я уже несколько лет покупаю оригинальную корейскую косметику на маркетплейсах.
Внутри бокса четыре средства с самыми высокими оценками покупателей:
• Эссенция со 100 000 ppm ПДРН из женьшеня. Моя …
Завидую только тем женщинам, у которых нет такой седины.
Я свою седину приняла и не стесняюсь с такими корнями ходить между окрашиваниями, так как растут волосы быстро из-за лосьонов и массажера с микротоками.
Отращивать седину пока не хочу, так как мне нравится этот красивый тёплый оттенок😍
Правильный тёплый освежает.
А седина у меня прям серебристая и свой холодный пепельный и мне они делают цвет лица больным 🙈
…
Мужчина мой сказал: «А что изменилось? » 🗿😂
Девочки, ну вы же видите разницу? Видите, что я почти тотал блонд ?
@alvinahankevich моя волшебница, весь день колдовала, чтобы высветлить меня максимально, чтобы равномерно, с учетом недавнего темно-русого и сохранить качество волос!
ЛУЧШАЯ❤️❤️❤️
Девааачки, я вчера такой сливовый пирог испекла 🔥🔥🔥🔥
Срочно повторяйте !
Что нужно :
Сливочное масло - 110 г
Сахар - 100 г
Яйца - 2 шт.
Мука - 150 г
Разрыхлитель - 1 ч. л.
Корица - 1 ч. л.
Соль - щепотка
Сливы - 8-10 шт.
Дополнительно - сахар для слив
Приготовление:
- Сливы разрежьте пополам или на четыре части, удалите косточки, посыпьте сахаром и корицей.
- Оставьте на 10-15 минут, чтобы они пустили сок.
- Размяг…
Ещё мои советики, как молодость кожи продлить ❤️
• Массаж лица - либо ручками (обычный или буккальный), либо массажерами, когда лень. Плюс их можно охладить в холодильнике, что ещё и пробуждает с утра.
• Led-маска - сначала я тоже не поняла, но когда начала делать процедуру 3 раза в неделю, как поняла. У меня WAU
• Deep roller - только по такому роллеру можно прокатываться позвоночником, чтобы не навредить.
• Фейс…
Спорт выпал, но прием коллагена пока у меня регулярный!
Здесь пропускать нельзя, сразу вижу что тонус кожи хуже и реально будто скрипеть вся начинаю 🙈
И пока все спорят, работает коллаген или нет, я принимаю и принимать буду.
П.с.: уже, кстати, всё больше врачей переобуваются и переходят на нашу сторону.
Уже пятый год я принимаю коллаген, и кожу как в 33. Морщины есть от улыбки и складки на шее от телефона, а в ос…
Признаюсь честно: последние полтора-два месяца я не тренировалась. Ну, думаю, вы заметили, что про спорт ничего давно не пишу.
Всегда честна с вами - не занимаюсь, не делаю рекламу, что типа занимаюсь.
И дело не в травме, не в нехватке времени и не в лени. В какой-то момент я просто поняла, что не хочу.
Сначала я, конечно, пыталась себя заставлять. Думала, что это временно: перетерплю несколько раз, втянусь, и всё в…
Пустые баночки, которые я повторю!
Собралась очередная партия опустевших флаконов.
Некоторые вы уже знаете (и тоже ими пользуетесь😉).
✔️Time to Grow, лосьон «Три-Энерджи» 3,5% - средство для тех, у кого волосы поредели и стали тоньше, и для тех, у кого алопеция. Подходит и женщинам, и мужчинам. В составе три стимулятора роста и антиандрогены, а главный актив - аналог миноксидила нового поколения. Лосьон помогает во…
Ещё одно место, которое советую посетить в Питере, а точнее отвести своего мужчину, - салон «Парни».
Открыли его мои близкие друзья, потому я знаю, как тщательно они все выбирали, планировали и я давно не видела настолько продуманного места.
Это бьюти-пространство, куда записывают только мужчин. Здесь можно за один визит сделать стрижку и бороду, маникюр и педикюр, брови, ваксинг и массаж.
Есть даже биозавивка.
И…
Новый сериальчик для вас )
«ВЕСТИС»
Нью-Йорке
начало 1980-х годов
Ирландская преступная группировка воюет с итальянской мафией.
Внутри каждой банды тоже свои конфликты между старым поколением и молодым.
Борьба за власть, деньги и влияние.
Времена когда не было камер и мобильных и на улицах творилось черти что …
Нам первый сезон понравился👌
Снято хорошо, дорого, этот старый Нью-Йорк , свет, цвет - некоторые кадры…
❤14
Showing the 12 most recent of 38 posts we hold for @levkinaoksana. 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 recorded as deleted after publishing
We recorded 1 post on @levkinaoksana as deleted — posts this register held that were missing from the channel’s public page on two separate reads, taken from different network addresses at least an hour apart.
A deletion is not wrongdoing. This register can see that a post it held is no longer on the channel’s public page, and when — not why. Expired ad placements, reposts, rotating links and corrections all look the same. This is a count of recorded detections, not an exact total: it misses deletions we could not see, because only a post we held and later re-read inside the page can be seen to go, and it may include a small number of wrong records. How this is measured.
First seen missing
6 November 2026
Most recent seen missing
6 November 2026
Median time before seen missing
29 hours
Seen missing in the last 30 days
1
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.
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.
Сокор по правде @sockor_po_pravde · 60,400 Telegram ranks this channel #5 of 52 here — alongside 51 others — read 2 September 2026
МАРИЯ ЛОГВИНОВА | Радикальная женственность @Marialogvinovaofficial · 31,217 Telegram ranks this channel #56 of 81 here — alongside 80 others — read 6 September 2026
This channel appears in 2 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 5 November 2026 — this
entry's latest reading, not the date you are reading this.
“OKSANA LЁVKINA” (@levkinaoksana), 9,577 subscribers as measured 5 November 2026. Telegram Register, tgregister.com/channel/levkinaoksana.
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.