Channel
@oksana_chemist
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
571subscribers
+0 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1002195619283 |
|---|---|
| Type | Channel |
| Username | @oksana_chemist |
| Description | Создатель бренда G.Love Разрабатываю косметические формулы, создаю новые косметические продукты, придумываю концепцию каждого средства, контролирую весь процесс создания. Здесь: лайфхаки, инсайты и советы из сферы бьюти от профессионала! |
| Created | Between 1 June 2024 and 30 September 2024— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 8 August 2026 |
| Last confirmed live | 8 August 2026 |
| Measurements held | 2 |
| On Telegram | t.me/oksana_chemist |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 8 Aug 2026, 03:31 | 571 | no change |
| 7 Aug 2026, 17:31 | 571 | first reading |
13 posts held, back to 24 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 pageof Telegram’s post history, 20 posts per page.
ERR is average views per post over the last 30 days divided by subscribers, the definition TGStat uses, so this figure is comparable with the one you will see elsewhere. It falls structurally as a channel grows: a high ERR on a small channel and a low one on a large channel describe reach mathematics, not quality. We publish the figure and the sample it came from and pass no verdict on it.
ER is defined industry-wide as (forwards + reactions + comments) ÷ views— note the denominator is views, not subscribers. Telegram’s public web preview carries views and reactions but not forward or comment counts, so the reaction rate above is the reactions term only and is therefore a floor: the true ER for this channel is higher by an amount we have not measured and will not estimate. It is computed over the 11 of 13 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 7 August 2026 |
|---|---|
| Posts held | 13 (24 July 2026 – 7 August 2026) |
| Views total | 1,753 |
| Reactions total | 103 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 8 Aug 2026, 03:31 UTC |
Views are a single reading per post, taken at the time above. A post published in the last day or two is still accumulating views, which pulls the 30-day average down slightly. That is a property of the standard definition rather than a fault in it, so we keep the definition rather than “correcting” the number into something nobody can reproduce.
Precision. Telegram publishes view counts on its public widget in short form — 8.12K, 3.7M — so any reading at or above 1,000 reaches us rounded to three significant figures, and only counts below 1,000 are exact. Averages and rates derived from them are shown to the same precision rather than to the unit: a figure like 3,701,250 would assert digits nobody measured.
Reaction counts are published per emoji and rounded the same way, so a total below 1,000 is exact and a larger one is a sum that may carry a rounded component from each emoji above 1,000. Because it is a sum, it does not look rounded — read a large reaction total as three significant figures per contributing emoji rather than as the figure it prints.
Lifetime counters from Telegram’s own channel header, read 8 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.
Measured directly from 1 video 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.
103 reactions across 11 posts, in 5 distinct kinds. The most used accounts for 55.3% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 57 | 55.3% | |
| 🔥 | 21 | 20.4% | |
| ❤🔥 | 12 | 11.7% | |
| 👍 | 12 | 11.7% | |
| 👌 | 1 | 0.971% |
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 11 of the 13 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 103reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 13 most recent posts we hold, published 24 July 2026 to 7 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.
Рубрика “Новости от брендов” ✔️ ❤️Этот патент — история о том, как классика встретилась с современностью. АО «СВОБОДА», та самая фабрика, мыло которой покупали еще наши бабушки, недавно получила патент на новое твёрдое мыло. И это не просто «кусок, который мылит». Это настоящая лабораторная работа, где соединилось лучшее из природы и точный расчёт. 📌Задача стояла непростая: создать средство, которое одновременно от…
❤4🔥3👍2
Друзья, я косметический химик, и я люблю смотреть не только на составы, но и на цифры. Они рассказывают удивительные истории. Например, за первую половину 2026 года в Россию завезли азиатской косметики на 323,7 миллиона долларов. Это на 37% больше, чем в прошлом году. Серьёзный рывок. Китай показал бешеный рост - плюс 70%, до 111 миллионов. Корея подросла скромнее, но тоже уверенно - плюс 24%, до 212,6 миллиона. А …
🔥8👍2
А вы заметили, как мы вдруг повзрослели?⬇️ Раньше мы выбирали крем по запаху и красивой баночке. Если пахло розами и напоминало о маминой пудренице - брали не глядя. А сегодня? Сегодня мы разглядываем составы, как врачи рецепты, и спорим о церамидах в комментариях. Это странно и одновременно прекрасно. 💬 L’Oréal, кажется, поняла это раньше, чем мы сами. Пока я восхищалась своей новой сывороткой, компания тихонько з…
❤5
Как бороться с пигментацией➡️ Сегодня говорим с вами про одну из самых сложных для решения проблем с кожей. В карточках - мои рекомендации⤵️
❤8👍3
Листаем книжечку-памятку о защите от солнца и сохраняем себе! У меня новый формат, друзья! Прошу любить и жаловать❤️ Пишите в комментариях, откликается ли вам такой ⤵️
❤8👍2❤🔥1👌1🔥1
Intensilk: когда яблоневый цветок перепрограммирует клетки ⬇️ Вы просите меня иногда писать о чем-то новом, неожиданном. И вот сегодня у меня как раз такая информация для вас. Давайте вместе с вами представим, что что ваши жировые клетки — это маленькие склады. Они послушно накапливают энергию, которую вы не потратили. И чем больше таких складов, тем заметнее на коже тот самый эффект «апельсиновой корки». Обычные …
❤4👍1🔥1
Video message, posted without a caption
❤5
💄Недавно мне в ленте попалось сразу несколько новостей о том, как ИИ покоряет косметическую индустрию. L'Oréal, например, рассказывает, что с помощью алгоритмов ускорила разработку средств для волос в четыре раза — нашла новые применения для старых молекул. Звучит грозно и даже немного пугающе: неужели скоро роботы будут смешивать кремы, а мы останемся без работы? Спокойно. Давайте разбираться по-человечески. 💄Иск…
❤8👍2
Video message, posted without a caption
🥒 Из теплицы с огурцами — на кудрявый фестиваль CURLFEST! 26 июля вы сможете задать вопросы нашей команде, протестировать знаменитую маску с огурцом и познакомиться с другими средствами G.Love🌟
Posted without readable text
❤3
Как же приятно, когда реальный человек Витя https://t.me/Kutezh_Beauty пишет о реальной боли и как бренды с этим справляются. Спасибо, дорогой друг!
❤7🔥5❤🔥2
Showing the 12 most recent of 13 posts we hold for @oksana_chemist. 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.
Citation-graph rank — 942,804 of 1,345,403entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.
Republishes
Channels on the register whose posts this channel has forwarded.
Built only from forwarded posts we have actually read, on both sides. Coverage is early and deliberately incomplete: a missing link means we have not read the post that would prove it, never that the relationship does not exist. Counts are distinct forwarded posts observed, so they only ever go up as we read more.
Named by 2 registered channels — every channel on the register whose own posts have named this one, by its current username or any other username it currently holds, merged from two separately captured readings of the same fact so a namer caught by only one of them is not missed and a namer both caught is not counted twice. A username this channel has since dropped is not matched — that handle may belong to someone else now, and crediting today’s namer to yesterday’s owner would misattribute it.
Named by
Channels on the register whose posts name this channel's handle.
Names
Channels on the register whose handles appear in this channel's posts.
A mention is a weaker signal than a forward and is counted separately for that reason — naming a channel is not republishing it, and a handle in a post body is easy to place deliberately. The post counts beside each row below are distinct posts in which the handle appeared, from posts we have read on both sides — the “Named by N registered channels” figure above is a different count, of distinct NAMING CHANNELS rather than posts, and is not the sum of the rows under it.
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 8 August 2026 — this entry's latest reading, not the date you are reading this.
“Иванова Оксана. Косметический химик” (@oksana_chemist), 571 subscribers as measured 8 August 2026. Telegram Register, tgregister.com/channel/oksana_chemist.
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.