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 23 September 2026 and assigned it the closest of 31 fixed categories, at 96% 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
7 measurements spanning 61 days, net +458. 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 183–784 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
7 Oct 2026, 11:16
715
+137
25 Sept 2026, 20:37
578
+320
11 Sept 2026, 00:39
258
+6
1 Sept 2026, 13:36
252
-3
16 Aug 2026, 06:24
255
-2
8 Aug 2026, 09:16
257
no change
7 Aug 2026, 12:25
257
first reading
Engagement
18 posts held, back to 29 April 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 18 posts for this entry, the most recent from 15 June 2026. An engagement rate over an empty window would be a number about nothing.
What this channel posts
Video runtime
2m 33s
Average length
31s
Measured directly from 5 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
58 reactions across 14 posts, in 7 distinct kinds. The most used accounts for 39.7% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
23
39.7%
🔥
17
29.3%
😘
7
12.1%
💯
4
6.90%
🙈
4
6.90%
👍
2
3.45%
😁
1
1.72%
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 14 of the 18 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 58 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 18 most recent posts we hold, published 29 April 2026 to 15 June 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.
Техника «Колонка страхов»
Цель:
Снижение тревожности за счёт анализа иррациональных страхов и выстраивания
новой, более реалистичной перспективы.
Как использовать для самопомощи:
1. Подготовьте таблицу из 4 колонок:
Страх
Почему я этого боюсь?
Что может помочь справиться?
Каков реальный риск?
2. В колонку 1:
Запишите конкретный страх. Не в абстрактной форме («всё пойдет не так»), а как
можно точнее:
«Я боюсь, что на …
А еще я так радуюсь, что рилсы стали набирать просмотры. Я просто делаю и все, конечно внутри жду что будет залетать каждый рилс, но этого не происходит, естесна. Но мысль, что Я не равно результат просмотров, проектов, количество денег, лайков и тд дала облегчение. Но я ее присвоила только в терапии
Я конечно не всегда в дзене, вообще ощущения дзена всегда тоже хуйня🤣, так как иногда это может про безразличие, но это уже перекос в ту сторону куда бы я точно не хотела. Но сейчас у меня есть навык отслеживать большую часть своей жизни и осознавать, когда я топаю по сценарию.
ТЕХНИКА «Я — ГРАНИЦА — ДИАЛОГ»
Как выстроить диалог, чтобы не разосраться, а чтоб тебя услышали и вы пришли к общему решению 🫂❤️
ШАГ 1. СТОП-КНОПКА
Прервите автоматическую реакцию. Задайте себе три вопроса:
· Что я сейчас чувствую? (назовите эмоцию: злость, страх, обида)
· Что мне нужно на самом деле? (не «чтобы он заткнулся», а «уважение», «тишина», «помощь»)
· Моя ценность под угрозой или просто задето самолюби…
Showing the 12 most recent of 18 posts we hold for @lila_aristova. 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 7 October 2026 — this
entry's latest reading, not the date you are reading this.
“АРИСТОВА НАТАЛЬЯ|ПСИХОЛОГ|ЛИЛА” (@lila_aristova), 715 subscribers as measured 7 October 2026. Telegram Register, tgregister.com/channel/lila_aristova.
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.