Personal blog — 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 14 September 2026 and assigned it the closest of 31 fixed categories, at 67% 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
13 measurements spanning 42 days, net +96. 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 3,696–3,824 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
17 Sept 2026, 11:17
3,809
+50
13 Sept 2026, 06:59
3,759
-5
9 Sept 2026, 05:56
3,764
+53
4 Sept 2026, 03:17
3,711
-2
31 Aug 2026, 10:37
3,713
-2
25 Aug 2026, 08:25
3,715
-1
22 Aug 2026, 16:34
3,716
-4
19 Aug 2026, 10:09
3,720
+7
16 Aug 2026, 18:57
3,713
+2
13 Aug 2026, 01:56
3,711
-5
10 Aug 2026, 03:01
3,716
+2
7 Aug 2026, 05:51
3,714
+1
6 Aug 2026, 22:02
3,713
first reading
Engagement
7 posts held, back to 3 June 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 3 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 7 posts for this entry, the most recent from 31 July 2026. An engagement rate over an empty window would be a number about nothing.
What this channel posts
Video runtime
15s
Average length
8s
Measured directly from 2 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
901 reactions across 7 posts, in 8 distinct kinds. The most used accounts for 66.3% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
597
66.3%
🔥
212
23.5%
❤🔥
57
6.33%
👍
19
2.11%
😁
9
0.999%
🥰
5
0.555%
⚡
1
0.111%
👌
1
0.111%
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 7 of the 7 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 901 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 7 most recent posts we hold, published 3 June 2026 to 31 July 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
7
across the posts below
Posts paid on
7
of 7 we hold a reading for · 100%
Most on one post
1
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @olya_valitova. 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 7 most recent posts we hold for this entry, published 3 June 2026 to 31 July 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.
Начала смотреть мини сериал про Рика Рубина и его студию «Shangri La». Которую он построил, чтобы музыканты там создавали музыку и записывали альбомы. *Сам Рик Рубин — один из самых известных музыкальных продюсеров: работал с Beastie Boys, Red Hot Chili Peppers, Johnny Cash, Adele и Kanye West, а еще написал книгу "The Creative Act".
Я пока посмотрела первую серию и мне очень понравился процесс того, как Рик Рубин р…
Путешествие-сюрприз
Мы вернулись домой. Я увожу с собой присвоение знания, что если я делаю и мне страшно, но при этом зудит и хочется, значит я делаю что-то очень стоящее.
День 1
Бронислав знал только в какой день и время мы вылетаем и возвращаемся. Больше ничего.
Когда мне пришла идея этой поездки, я сначала спросила "ты готов мне довериться и отправиться в приключение?". В ответ получила лаконичное "го!".
Спр…
Вылетаю организовать событие, делать которое очень! страшно
В эти выходные будет День рождения Бронислава. Я организую нам путешествие-сюрприз. Я! Которая думала пол жизни, что не люблю сюрпризы. И всегда их избегала.
Идея пришла мне находу, посреди летней Москвы, когда я куда-то задумчиво шла. Не было плана придумывать сюрприз, не было плана куда-то нам полететь и вообще никакого плана не было.
Идея пришла и в эт…
Искусство, которое делает меня сложнее
Питер, воскресенье, светит утренне солнце, день обещает быть фантастически классным. Мы с Брониславом после двух дней свадьбы друзей. Вышли из отеля и решили провести день дрейфуя по городу, без плана. Идем мимо еще не засыпавших людей, странно одетых прохожих, уличных музыкантов, только только достающих инструменты и нелепых вывесок. В полюбившееся кафе на завтрак.
Места толь…
Я ничего не умею! Осознание этого помогло мне повысить собственную ценность - буквально.
За годы работы я реализовала проекты для мировых брендов, культурных институций, коллекционеров, частных клиентов по всему миру. При этом я ничего конкретного не умею.
Не могу прочитать лекцию по искусству.
Не могу создать дизайн.
Не могу поставить спектакль или сочинить декорацию.
Не могу написать сценарий.
Да и большую часть…
Сижу во дворе кофейни на районе. Подхожу к окошку заказов, прошу привычный для себя фильтр кофе.
Девушка спрашивает "вам с собой или вы будете во дворе?"
Отвечаю, что буду во дворе.
"Тогда сделаю в железную кружку, чтобы вам по кайфу было".
Сижу кайфую, купаясь в тополином пухе.
Свадьба со странными kpi
Я тут заглянула в рабочие чаты и поняла, что когда я начала готовить свадьбу Оли и Кирилла, мне был поставлен KPI. Вернее Оля мягко назвала это метрика успеха. Аплодирую собственной отважности, так как ни свадеб я ранее не делала, ни тем более под KPI от событий не подписывалась. А тут вписалась и в то, и в другое.
Перформанс требовался следующий:
- чтобы после свадьбы все парные люди захот…
❤218🔥50❤🔥27👍2
Showing the 7 most recent of 7 posts we hold for @olya_valitova. 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
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 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.
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.
Павел Недостоев / дилер впечатлений @pavelnedostoev · 30,288 Telegram ranks this channel #17 of 96 here — alongside 95 others — read 7 September 2026
Демидов сейчас @justdemidovit · 43,579 Telegram ranks this channel #65 of 95 here — alongside 94 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 17 September 2026 — this
entry's latest reading, not the date you are reading this.
“Спасибо, Оля!” (@olya_valitova), 3,809 subscribers as measured 17 September 2026. Telegram Register, tgregister.com/channel/olya_valitova.
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.
