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 23 September 2026 and assigned it the closest of 31 fixed categories, at 51% 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
6 measurements spanning 53 days, net -7. 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 236–246 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
29 Sept 2026, 12:40
237
-1
30 Aug 2026, 06:02
238
-4
22 Aug 2026, 11:05
242
-3
14 Aug 2026, 19:07
245
+1
8 Aug 2026, 09:46
244
no change
7 Aug 2026, 17:15
244
first reading
Engagement
8 posts held, back to 8 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 1 page 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 8 posts for this entry, the most recent from 5 August 2026. An engagement rate over an empty window would be a number about nothing.
What this channel posts
Video runtime
19s
Average length
10s
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
232 reactions across 8 posts, in 11 distinct kinds. The most used accounts for 25.0% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
custom 5246797491210306930
58
25.0%
custom 5305470330771361063
53
22.8%
❤
41
17.7%
custom 5224239605712176768
38
16.4%
custom 5445354610988458011
14
6.03%
custom 5377771844591962402
10
4.31%
custom 5231006459831018500
5
2.16%
custom 5444989564538101684
4
1.72%
custom 5445218361740927047
3
1.29%
custom 5445303238884632152
3
1.29%
custom 5445310896811321328
3
1.29%
Custom emoji. 10 of the rows above are Telegram custom emoji, which the public preview renders as an element carrying only a numeric id — no character, and no image we can reach. The id is printed as-is rather than substituted with a look-alike glyph, because a stand-in would be our invention showing where a measurement should be. The counts beside them are Telegram’s.
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 8 of the 8 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 232 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 8 most recent posts we hold, published 8 July 2026 to 5 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.
Telegram Stars
Stars received
3
across the posts below
Posts paid on
2
of 8 we hold a reading for · 25%
Most on one post
2
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @bynatta. 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 8 most recent posts we hold for this entry, published 8 July 2026 to 5 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.
во сколько мне обошлось лечение системными ретиноидами?💊
я и во время курса понимала, что у меня уходит много денег на это, но недавно решила посчитать точную стоимость…
важно понимать, что эта цифра индивидуальна и зависит от продолжительности курса, стоимости препарата (акнекутан / роаккутан / сотрет), вашей дозировки, уходовых средств и многих других факторов
мой курс акнекутана длился 9,5 месяцев. начинала я с…
в том числе я здесь не так активна из-за статистики, с которой проблемы в целом у всех каналов в телеграм сейчас
да, я намного меньше стала обращать внимание на цифры, но порой они все равно немного расстраивают
буду очень благодарна вашим реакциям, мне всегда безумно приятно их видеть🤍
немного ушла в затишье здесь, даже в инстаграме стала чаще появляться — исправляюсь!
в последнее время жизнь и правда проходит весьма спокойно и размеренно. сейчас работаю над выстраиванием новой рутины и восстановлением режима:
🤎регулярные тренировки
у меня был перерыв от зала 2,5 недели, за это время я успела закончить курс ретиноидов. и о боже, насколько же мне стало легче заниматься, пропали все боли в теле!
🤎ч…
наконец дошли руки до влога с защиты диплома (которая была месяц назад…)
anyway, видео уже на канале. check it out! 💋
https://youtu.be/NwVkFUl_s4Q?is=EPWFSQhaMx6WjW4m
я верю в любовь, потому что спустя много лет совместной жизни мой дедушка посвящает бабушке такие стихотворения❤️
КАК ПРЕКРАСЕН МИР
(Посвящаю своей жене ЗИНЕ)
Как же прекрасен этот мир, в котором ТЫ!
Я счастлив быть вместе с тобою.
Ты все мои надежды и мечты,
Готов тебя всегда увлечь с собою.
Ещё при встрече, тем далеким летом,
Сразу все я для себя определил.
Мечтал всегда с надеждой я об этом,
Встретил, увидел, п…
такая насыщенная прошлая неделя выдалась:
⭐️вручение диплома
⭐️поездка с девочками на шашлыки
⭐️выпускной за городом
⭐️поездка к бабушке на дачу
июль правда радует на количество событий и активностей, беру от лета и хорошей погоды по максимуму!
но признаюсь, мне всегда после череды активных дней хочется выдохнуть и замедлиться, так что возвращаюсь в рутину и привычные дела 🤩
ещё немного контента со вчера✨
не верится, что 4 года пролетели так быстро. помню выпуск из школы и поступление, будто это было вчера
я как-то упоминала здесь, что изначально я поступала в другой университет. обстоятельства сложились так, что после первого семестра я вернулась в родной город и перевелась в САФУ
я очень переживала, что не смогу найти друзей, но как же мне повезло, что я встретила моих девочек. моё с…
Showing the 8 most recent of 8 posts we hold for @bynatta. 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.
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.
Александр Кожевой | тут худеют @kozhevoy_sport · 26,773 Telegram ranks this channel #28 of 66 here — alongside 65 others — read 29 September 2026
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.
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 29 September 2026 — this
entry's latest reading, not the date you are reading this.
“by nata” (@bynatta), 237 subscribers as measured 29 September 2026. Telegram Register, tgregister.com/channel/bynatta.
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.
