Personal blog — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B, prompt version 1) read this channel’s own recent posts on 19 October 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 the other topics.
Growth
5 measurements spanning 33 days, net -1. 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 624–625 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
2 Nov 2026, 02:51
624
-1
19 Oct 2026, 21:14
625
+1
13 Oct 2026, 20:56
624
-1
29 Sept 2026, 23:22
625
no change
29 Sept 2026, 22:47
625
first reading
Engagement
16 posts held, back to 3 September 2024 — 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 16 posts for this entry, the most recent from 8 April 2025. An engagement rate over an empty window would be a number about nothing.
What this channel posts
Video runtime
2m 13s
Average length
44s
Measured directly from 3 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
345 reactions across 16 posts, in 10 distinct kinds. The most used accounts for 37.4% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
129
37.4%
👍
57
16.5%
🔥
40
11.6%
❤🔥
35
10.1%
🥰
24
6.96%
💯
22
6.38%
😁
21
6.09%
🤣
12
3.48%
🤩
4
1.16%
😍
1
0.29%
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 16 of the 16 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 345 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 16 most recent posts we hold, published 3 September 2024 to 8 April 2025, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.
🌟 Жизнь — не прямая линия, а вдохновляющий танец.
Привет, девочки! Простите, что пропала…. Сегодня хочу поговорить о том, как иногда судьба раскладывает карты так, что мы находим себя там, где даже не ожидали. О людях, которые меняли профессии, но при этом не теряли страсти к жизни и своей уникальной реализации.
Мы часто думаем, что наша жизнь должна идти по одному сценарию: выбрали профессию — следуй всю жизнь. Но…
А это моя подставка для ноута. На вб цена чуть больше 2 тысяч. Не реклама.
В комментариях поделитесь своими приспособлениями для эргономики рабочего пространства. Или задавайте вопросы на эту тему👇😉
Без лишних слов. В понедельник даю чек лист для эргономики рабочего места. Боли в голове, отеки лица и скованность плеч можно избежать простой настройкой предметов вокруг себя. Пользуйтесь 🙌
Олечка😘с днём рождения🎉🎉🎉
Книга-восторг🤩
Когда купила, ещё долго не могла успокоиться и рассказала коллегам о ней😁 девчонки сразу заказали, кто-то долго ждал, она тогда ещё не везде была😁 и тоже кайфуют
Ольга, дорогая, с днем рождения!!
Книга прекрасная, купила ее сразу, как она появилась! одно удовольствие держать в руках, все понятно и четко описано, пользуюсь постоянно, хоть и помню уже все на память) просто нравится)
Showing the 12 most recent of 16 posts we hold for @facefitnesslife. 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.
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.
VASTU.EXPERTUM | Васильева Наталья @vastu_yogaforhome · 20,766 Telegram ranks this channel #57 of 81 here — alongside 80 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 2 November 2026 — this
entry's latest reading, not the date you are reading this.
“Ольга Бистерфельд” (@facefitnesslife), 624 subscribers as measured 2 November 2026. Telegram Register, tgregister.com/channel/facefitnesslife.
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.
