Health & wellness — 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 21 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.
Growth
9 measurements spanning 63 days, net +20. 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 559–591 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
9 Oct 2026, 15:39
583
-2
28 Sept 2026, 13:18
585
-2
8 Sept 2026, 01:02
587
+6
29 Aug 2026, 04:54
581
-2
21 Aug 2026, 07:07
583
+13
15 Aug 2026, 00:43
570
+4
8 Aug 2026, 03:33
566
no change
8 Aug 2026, 03:06
566
+3
7 Aug 2026, 19:00
563
first reading
Engagement
9 posts held, back to 2 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 9 posts for this entry, the most recent from 6 August 2026. An engagement rate over an empty window would be a number about nothing.
What this channel posts
Video runtime
17s
Average length
6s
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
56 reactions across 9 posts, in 9 distinct kinds. The most used accounts for 58.9% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
🔥
33
58.9%
❤
9
16.1%
😍
7
12.5%
👏
2
3.57%
custom 5332511981737880450
1
1.79%
🍾
1
1.79%
🐳
1
1.79%
👀
1
1.79%
💯
1
1.79%
Custom emoji. One row above is a 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 count beside it is 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 9 of the 9 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 56 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 9 most recent posts we hold, published 2 July 2026 to 6 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.
Выберите лицо, которое вызывает у вас отвращение и узнайте новое о своей психике.
Признаюсь, этот тест оказался самым захватывающим из всех, что я проходила!
Его автор — знаменитый психолог Леопольд Сонди, а разработана методика была еще в 1947-м. С тех пор и на протяжении многих лет к ней обращались врачи в клиниках, чтобы оценить состояние психики пациентов.
Сразу уточню: тест не нужен для точного диагноза. Его …
3 правила молодости без косметологов ✨
Внешность — это отражение внутренних процессов. Вот как оставаться молодой и уверенной в любом возрасте:
1️⃣ Берегите нервы. Красота рождается в расслабленной нервной системе. Токсичная работа и суетливое окружение ускоряют старение на биологическом уровне.
2️⃣ Фильтруйте мысли. Мозг работает как лента соцсетей: он подкидывает подтверждения вашим мыслям. Перестаньте ругать се…
То чувство, когда начинаешь оживать…
Я второй год работаю с коучем и психологом, чтобы наконец-то почувствовать, что готова к любому масштабу и для меня больше нет ничего невозможного. И, как говорится, результат «на лицо».
Выгляжу я тоже намного лучше, чем ещё год назад;)
Я провел более 500 часов консультаций и заметила, что 90% проблем моих клиентов решаются внедрением всего пяти базовых принципов. Это мой личный must-have список, который я использую в своей практике и жизни, чтобы сохранять фокус и не выгорать.
Вот 5 законов, которые я считаю фундаментом для любого взрослого человека:
1. Закон Мерфи.
Все, что может пойти не так, обязательно случится в самый неподходящий момент. Эт…
Буду делиться подробностями тут и в запрещенной сети. Страшно, но специально говорю об этом публично, чтобы не было возможности сойти с этого пути.
Сейчас:
Подписчиков в ИГ: 63.350
Заработано: 0 из 5.000.000
ПОЕХАЛИ 🚀
Картинки и инсайты после жизни на ферме в горах Дагестана
😍3🔥1
Showing the 9 most recent of 9 posts we hold for @olashecoach. 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.
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 9 October 2026 — this
entry's latest reading, not the date you are reading this.
“Оля Ше | ПРО проявленность и 💲 | коуч, магистр психологии” (@olashecoach), 583 subscribers as measured 9 October 2026. Telegram Register, tgregister.com/channel/olashecoach.
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.