такой кроссовер в мире ИИ я не ожидала встретить
😁4🙉2🔥1🦄1

Channel
@oksanamafa
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Citations · Handles named that no longer answer · Telegram's recommendations · Cite this entry
1,990subscribers
-18 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 1,000–3,162.
| Telegram ID | -1001580536394 |
|---|---|
| Type | Channel |
| Username | @oksanamafa |
| Created | Between 1 August 2021 and 28 February 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 16 September 2026 |
| Measurements held | 13 |
| Confirmed unchanged | 1 time, most recently 16 September 2026 |
| On Telegram | t.me/oksanamafa |
Film & TV — 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 16 September 2026 and assigned it the closest of 31 fixed categories, at 89% 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.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 16 Sept 2026, 02:19 | 1,990 | -2 |
| 12 Sept 2026, 16:58 | 1,992 | +1 |
| 8 Sept 2026, 16:37 | 1,991 | -6 |
| 3 Sept 2026, 11:58 | 1,997 | -1 |
| 28 Aug 2026, 09:54 | 1,998 | -3 |
| 25 Aug 2026, 12:39 | 2,001 | -2 |
| 22 Aug 2026, 22:55 | 2,003 | +1 |
| 19 Aug 2026, 16:24 | 2,002 | -1 |
| 16 Aug 2026, 16:35 | 2,003 | +2 |
| 12 Aug 2026, 23:02 | 2,001 | -3 |
| 10 Aug 2026, 04:11 | 2,004 | -4 |
| 7 Aug 2026, 10:46 | 2,008 | no change |
| 7 Aug 2026, 10:35 | 2,008 | first reading |
17 posts held, back to 10 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 2 pages of Telegram’s post history, 20 posts per page.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 17 posts for this entry, the most recent from 4 August 2026. An engagement rate over an empty window would be a number about nothing.
Measured directly from 4 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.
404 reactions across 17 posts, in 22 distinct kinds. The most used accounts for 24.5% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 99 | 24.5% | |
| 😁 | 66 | 16.3% | |
| 💔 | 54 | 13.4% | |
| 🤣 | 51 | 12.6% | |
| 😢 | 23 | 5.69% | |
| 🔥 | 19 | 4.70% | |
| 🦄 | 19 | 4.70% | |
| 👏 | 16 | 3.96% | |
| 👍 | 15 | 3.71% | |
| ❤🔥 | 11 | 2.72% | |
| 🤝 | 9 | 2.23% | |
| 😭 | 4 | 0.99% | |
| 🤬 | 4 | 0.99% | |
| 😱 | 3 | 0.743% | |
| 🐳 | 2 | 0.495% | |
| 💯 | 2 | 0.495% | |
| 🙉 | 2 | 0.495% | |
| 👌 | 1 | 0.248% | |
| 😨 | 1 | 0.248% | |
| 🤔 | 1 | 0.248% | |
| 2 further kinds | 2 | 0.495% |
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 17 of the 17 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 404 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 17 most recent posts we hold, published 10 July 2026 to 4 August 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.
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @oksanamafa. 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 17 most recent posts we hold for this entry, published 10 July 2026 to 4 August 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.
такой кроссовер в мире ИИ я не ожидала встретить
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я вот когда решила смотреть «Следствие ведут овечки», совсем не рассчитывала, что буду плакать и переживать, что овечки не превращаются в облако после смерти!!
❤7😁5💔4😭3💯2😱2🦄1
пересмотрела «Ноттинг Хилл» 1999 года. Что я вам скажу, я пищала от того какая красивая Джулия Робертс. Я всегда это знала, но рядом был Хью Грант и ты от него не мог отвести взгляд. Но время идет, я повзрослела, поумнела и сейчас смотрю на него и думаю: ну сколько можно смотреть этим взглядом выпрашивающего щенка, соберись давай! Но самое главное, как одета главная героиня! Зацените вансы на платформе, укороченны…
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когда отстояла у продюсеров свой драфт сценария
😁22🤣13👏5🔥4🦄1😭1
Наш киноклуб «По-тарковски» продолжает свое вещание, 15 августа мы обсудим новенькие-свеженькие сериалы, фентези, триллеры и, конечно, Нолановскую «Одиссею». Так что всех ждем, будем хихикать и болтать) БИЛЕТЫ ТУТ 📙
❤6🔥3🐳2👏1🦄1
А мы долго будем избегать тот факт, что Бен Аффлек нашел Джина и загадал желание на деньги? В этом году Netflix купил стартап, где Бен сооучередитель за бесконечные миллионы долларов, а недавно в аналоге «Кто хочет стать миллионером» (что вообще там делал Бен Аффлек?!) он выиграл миллион долларов!
😁13❤8👏2🦄1😱1
Я, для интереса, досмотрела первый сезон «Почему женщины убивают». Внимание, ниже спойлеры, но не везде, потому что я и сама ничего не поняла. Итак, краткий пересказ трех линий, версия Кинопоиск с цензурным монтажом: 1 линия (самая мне понятная) Рыжая девчонка знала, что ее муж ей изменял, винила в этом себя. Специально подружилась с его любовницей, но прониклась ей . Рыжая была уверена, что из-за нее погибла и…
🤣8😁6❤2🤯1🦄1
я недавно писала про «Бухту вдов» и вам ее сильно советовала, но… Я все так же ее советую, но я возмущена! Я очень хотела бесконечно смотреть за тем, как каждую серию происходит мистическое событие и мэр пытается все устранить. А они почему-то решили, что хватит с нас и первых четырех серий, дальше захватит серьезная мрачная горизонтальная линия и никаких тебе аттракционов, разбалованный зритель, теперь надо разобра…
❤9👏2🦄1
Приготовьтесь, сейчас будет много возмутительного текста. Сейчас еду в поезде в Ростов и я всегда в дороге пишу сценарии и скачиваю сериалы для вдохновения. Вот в этот раз решила, что моим вдохновением станет сериал «Почему женщины убивают» (такое у меня вдохновение в эту поездку). Я его не смотрела и подумала, что щас пора. И вот скачала на Кинопоиске. Смотрю. И понимаю, что половину из того, что там происходит - я…
💔41😢18🤝9❤🔥4🤬4❤3👏3🤔1
Был просмотрен новый концерт Луи Си Кея и сериал «Бухта вдов». Не думала, что из них двоих сильнее буду смеяться с хоррора! Блин, кто еще не глянул этот сериал, то обязательно к просмотру, но готовьтесь, я ночь после него уснуть не могла. Вам будет и страшно и смешно. Я просто пищу от этого смешения жанра!
❤12👍4❤🔥2🦄2
Video, posted without a caption
❤8❤🔥5🔥4
Video message, posted without a caption
😁11🔥3👍2🥰1🦄1
Showing the 12 most recent of 17 posts we hold for @oksanamafa. 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.
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.
Named by 2 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.
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.
@oksanamafa named 1 handle 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.
We ourselves saw each of these resolve to a real page at some point before it went vacant — a genuine, evidenced change, not an inference from absence.
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.
This channel appears in 1 seed channel's Telegram-generated recommendation list in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
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 16 September 2026 — this entry's latest reading, not the date you are reading this.
“Мафа” (@oksanamafa), 1,990 subscribers as measured 16 September 2026. Telegram Register, tgregister.com/channel/oksanamafa.
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.