Ecommerce storefront — 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 30 September 2026 and assigned it the closest of 31 fixed categories, at 54% 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
6 measurements spanning 57 days, net -5. 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 274–281 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
1 Nov 2026, 03:50
275
-1
24 Oct 2026, 13:20
276
-1
30 Sept 2026, 11:22
277
-2
15 Sept 2026, 19:55
279
-1
8 Sept 2026, 14:41
280
no change
5 Sept 2026, 10:22
280
first reading
Engagement
7 posts held, back to 18 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 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 7 posts for this entry, the most recent from 3 September 2026. An engagement rate over an empty window would be a number about nothing.
What this channel posts
Video runtime
4m 07s
Average length
41s
Measured directly from 6 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
23 reactions across 7 posts, in 3 distinct kinds. The most used accounts for 52.2% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
🔥
12
52.2%
❤
9
39.1%
👍
2
8.70%
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 23 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 18 June 2026 to 3 September 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.
ЧТО МОЖЕТ РАССКАЗАТЬ О ВАШЕЙ КОЖЕ НАШ АНАЛИЗАТОР? 🔍
В конце августа многие жительницы Обнинска уже успели познакомиться с нашей новинкой - профессиональным анализатором кожи 🤍
И самое интересное - он помогает оценить состояние кожи гораздо подробнее, чем это можно сделать, просто посмотрев в зеркало.
Во время анализа прибор оценивает сразу несколько важных параметров:
◽️ Уровень увлажнённости кожи
◽️ Пигментацию
…
ОЧИЩЕНИЕ ЗА 2 МИНУТЫ 🤍
Бывают ситуации, когда на полноценное очищение просто нет времени: в дороге, после тренировки, в самолёте или поздно вечером.
👉🏻 В такие моменты особенно удобно иметь под рукой салфетки MAKEUP REMOVER ANTIOXIDANT от LAMAR
Они бережно удаляют макияж и загрязнения, подходят в том числе для зоны вокруг глаз, а после использования кожа остаётся мягкой и комфортной ☺️
В их составе - антиоксидантны…
🔍 БЕСПЛАТНАЯ ДИАГНОСТИКА КОЖИ - Обнинск, такое нельзя пропустить! 🤍
Мы привезли новый анализатор кожи — современный диагностический аппарат, который помогает оценить состояние кожи и увидеть то, что не всегда можно определить просто по внешнему виду:
— фактическое состояние и особенности кожи;
— признаки обезвоженности и другие проблемы;
— зоны, которым стоит уделить больше внимания;
— направления, над которыми сто…
На семинаре Ламар во вторник 18 августа будет эксклюзив!
💥 только для участников семинара
💥 только один день
Не упускайте возможность подготовиться к сезону, вас ждет самое выгодное спецпредложение - делаем максимум один раз в год!!!
Что всегда лежит в моей косметичке в любой поездке? ✈️
Когда собираю чемодан, я могу долго думать, какие вещи взять с собой. Но с уходом всё намного проще - есть средства, которые отправляются в поездку автоматически 😄
Для меня важно, чтобы уход не занимал половину чемодана, но при этом закрывал все потребности кожи: очищение, восстановление, увлажнение и помощь в непредвиденных ситуациях.
В эту подборку всегда вх…
Собрали подборку отзывов от наших команды по этому классному SOS средству 😎
Рабочий, точечный корректор!
Сразу виден результат!
Сами пользуемся и вам советуем🫶🏼
❤1
Signed Наталья Жукова
Showing the 7 most recent of 7 posts we hold for @pastila_natasha20. 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.
Осанка.Дети | dvizgenie_deti @osanka_rebenkaa · 106,263 Telegram ranks this channel #70 of 80 here — alongside 79 others — read 5 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 1 November 2026 — this
entry's latest reading, not the date you are reading this.
“Наталья Жукова” (@pastila_natasha20), 275 subscribers as measured 1 November 2026. Telegram Register, tgregister.com/channel/pastila_natasha20.
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.
