Other / unclassifiable — 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 11 September 2026 and assigned it the closest of 31 fixed categories, at 39% 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
34 measurements spanning 43 days, net +87. 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 11,301–11,659 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 34
Measured (UTC)
Subscribers
Change
18 Sept 2026, 00:18
11,618
+128
15 Sept 2026, 19:42
11,490
+49
14 Sept 2026, 03:18
11,441
+47
12 Sept 2026, 12:37
11,394
+52
10 Sept 2026, 06:58
11,342
-42
6 Sept 2026, 22:19
11,384
-60
4 Sept 2026, 07:01
11,444
+14
2 Sept 2026, 20:24
11,430
-21
1 Sept 2026, 16:44
11,451
-73
31 Aug 2026, 18:56
11,524
+66
30 Aug 2026, 21:14
11,458
+4
29 Aug 2026, 22:23
11,454
-23
29 Aug 2026, 00:27
11,477
-6
27 Aug 2026, 22:44
11,483
-18
27 Aug 2026, 01:42
11,501
+3
25 Aug 2026, 22:23
11,498
+54
24 Aug 2026, 21:26
11,444
+3
23 Aug 2026, 10:22
11,441
+3
22 Aug 2026, 00:14
11,438
+2
20 Aug 2026, 17:33
11,436
first reading
Engagement
106 posts held, back to 4 August 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 45 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
3.55%
avg views ÷ 11,618 subscribers
Avg views / post
412
34 posts measured
Reaction rate
5.84%
reactions ÷ views · ER floor
Posts in window
34
of 106 held
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.
What these figures were computed from
Window
Rolling 30 days · latest post in window 2 September 2026
Posts held
106 (4 August 2026 – 2 September 2026)
Views total
14,004
Reactions total
818
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
3 Sept 2026, 00:05 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.
What this channel posts
Video runtime
18m 15s
Average length
1m 08s
Measured directly from 16 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
2,454 reactions across 96 posts, in 21 distinct kinds. The most used accounts for 46.2% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
1,133
46.2%
👍
531
21.6%
🔥
377
15.4%
✍
97
3.95%
😁
74
3.02%
🤣
59
2.40%
👏
48
1.96%
🎉
23
0.937%
🥰
21
0.856%
💯
20
0.815%
😢
20
0.815%
🤩
12
0.489%
😍
7
0.285%
😱
7
0.285%
⚡
6
0.244%
😭
5
0.204%
👾
4
0.163%
💘
4
0.163%
👀
3
0.122%
🥴
2
0.081%
1 further kind
1
0.041%
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 104 of the 106 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 2,597 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 106 most recent posts we hold, published 4 August 2026 to 2 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.
Telegram Stars
Stars received
2
across the posts below
Posts paid on
1
of 104 we hold a reading for · 1.0%
Most on one post
2
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @naturolacosmetics. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.
Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.
This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.
Counted over the 106 most recent posts we hold for this entry, published 4 August 2026 to 2 September 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.
Advertising
Ad load
0.943%
1 of 106 posts carry an ad marker
Regulatory tokens
1
posts carrying an erid · 1 distinct token
Median views · ads
547
over 1 measured post
Median views · rest
460
over 103 measured posts
An ad marker, not a judgement about a post. A post is counted here because it carries one of two explicit markings: an erid token, which Russian law has required on paid placements since 2022 and which is issued against a specific advertising contract, or a #реклама / #ad hashtag in the body, which is the channel declaring it itself. The first is documentary; the second is a self-declaration and is weaker. No classifier reads the text and decides — nothing on this site guesses that a post is an advertisement.
This is a floor, and it can only ever be a floor. A channel that runs paid placements without marking them produces no marker for us to count, and an unmarked ad is indistinguishable from an ordinary post on the public surface. The ad load above therefore means “the share of posts that declared themselves”, never “the share of posts that were paid for”. A low figure is not evidence of a channel that runs few ads.
Both figures are medians, and no ratio between them is published. Each is a view reading that actually occurred on a post, picked by percentile_disc rather than averaged, so one viral post cannot move it and no interpolated value is invented between two readings. The sample on one side is under five posts, which is too thin to compare. The two figures are shown side by side with the count behind each, and deliberately not divided into a headline like “ads get x% fewer views” — an arithmetic that is easy to print and, at this sample size, means nothing.
Advertising tokens recorded on this entry
erid
Posts
First seen
Last seen
2W5zFHru9y3
1
18 August 2026
18 August 2026
A token repeated across several posts is one advertising contract placed more than once, which is what the identifier is for. The strings are reproduced exactly as they appeared in the post or in its click-through URL and are not validated against any registry — we record the marker a channel published, and whether it resolves to a real contract is a question for the register that issued it.
Measured over the 106 most recent posts we hold, published 4 August 2026 to 2 September 2026. Views are the latest single reading held for each post, and any reading at or above 1,000 is rounded by Telegram to three significant figures.
Нашла идеальный способ начать осень: напиться коктейльчиков и заодно выиграть годовой запас ухода за волосами
Провела чудесный вечер в одном из моих любимых баров Prscco. А повод зайти туда сейчас особенно приятный: со 2 сентября они запускают коллаборацию с российским брендом ICE Professional
Схема, которая особенно понравится бьютиголикам: заказываете специальный напиток: получаете скретч-карту, стираете защитный…
Холодный осенний ветер ещё толком не начался, а мои прекрасные губёшки уже поняли, какое время года наступило
Стоит немного погулять и здравствуйте, сухость и шелушения. Поэтому к осени я купила бальзам для губ Sensitive от Мастерской Олеси Мустаевой. Его очень хвалят, я понимаю почему
Это не просто масло с воском, а полноценный эмульсионный бальзам
1. Питание и смягчение
• миндальное масло
• макадамия
• ши
• касто…
Открываем первое заседание #матрёшкинсуд
И сегодня на скамье подсудимых мягкие шампуни
Я специально рассматривала средства для осенней подборки с довольно строгим условием: максимально деликатная моющая система для тех, у кого после лета сухая и повреждённая длина или чувствительная кожа головы. И несколько баночек проверку не прошли. Сразу оговорюсь: это не означает, что шампуни плохие и от них у вас отвалятся воло…
Мне тут подумалось: что-то подозрительно мало вы видите баночек, которые Матрёшка ругает
Поэтому официально открываю новую рубрику #матрёшкинсуд. Сюда будут отправляться баночки, к которым у меня накопились вопросы. Но прежде чем полетят первые головы, хочу сразу договориться о правилах
Если в рубрику попал продукт какого-то бренда, это совершенно не означает, что весь бренд плохой. Неудачные формулы бывают у всех:…
Несу вам лучшие мягкие бессульфатные шампуни на осень
Шампунь выбираем прежде всего по состоянию кожи головы. Сухость, пористость и повреждение длины учитываем уже дополнительно
1. Для сухой кожи головы, сухих, повреждённых и окрашенных волос
• Ecolatier All in One
Подойдёт: сухой коже головы, окрашенным, ломким и тусклым волосам
• Riche Botox-ffective Prokeratin
Подойдёт: сухим и повреждённым волосам
• My Muse укре…
Что искать для мягкого очищения?
В прошлом посте выяснили: бессульфатный и мягкий, не синонимы. Поэтому сегодня переворачиваем баночку и смотрим, чем производитель вообще предлагает мыть нашу головушку
В мягких формулах часто встречаются:
• Cocamidopropyl Betaine
• Sodium Cocoamphoacetate
• Decyl Glucoside
• Coco Glucoside
• Lauryl Glucoside
• Sodium Cocoyl Isethionate
• Disodium Laureth Sulfosuccinate
Это не означ…
Почему осенью я советую присмотреться к более мягкому шампуню?
После лета мы начинаем спасать длину масками, кондиционерами и несмывашками, но иногда забываем про самое начало ухода, шампунь. И если после каждого мытья волосы уже до кондиционера напоминают веник, возможно, стоит пересмотреть именно очищение
Осенью длина действительно может быть не в лучшей форме: солнце, море, бассейн, горячие укладки. Всё это пост…
Матрёша несёт хорошие баночки для гладкости волос
Осенью у волос начинается весёлая жизнь: на улице влажность и ветер, дома сухой воздух от отопления. А длина после солнца, моря и летних укладок может стать более жёсткой, пористой и пушистой
Что нам понадобится?
1. Кондиционеры, как регулярный уход
• Ollin Service Line
Лёгкий вариант с пантенолом и глицерином. Даёт базовое кондиционирование без тяжёлого питательног…
Матрёша отвечает на ваши вопросы в комментариях #матрёшаотвечает
Ситуация знакомая: дома высушила волосы, вроде бы гладкие, блестящие, волосок к волоску. Вышла на улицу, прошло полчаса: и на голове взрыв на макаронной фабрике. Почему дома всё прекрасно, а на улице волосы начинают пушиться?
Спойлер: не спешите во всём обвинять солнце. Если эффект появляется буквально за полчаса, гораздо чаще виновата влажность возду…
Опять что-то тестирую на себе для премии Честная косметика
На этот раз подопытными стали мои волосы, а в руки мне попал тритмент Kristina Nazareva
У меня волосы тонкие, окрашенные, склонные к сухости на концах, поэтому главный критерий простой: дать мягкость и гладкость, но не превратить всё это великолепие в три прилизанные волосинки
По составу средство интересное. Здесь ферментированные экстракты черники, облепи…
❤10🔥3👍2
Showing the 12 most recent of 106 posts we hold for @naturolacosmetics. 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.
Posts edited after publishing
@naturolacosmetics edited 1 post after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.
An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.
First edit seen
27 August 2026
Most recent edit
27 August 2026
Forward network
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
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.
Mentions
Named by 6 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.
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.
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.
Словарный жопас @nasty_notes · 23,116 Telegram ranks this channel #17 of 89 here — alongside 88 others — read 19 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 18 September 2026 — this
entry's latest reading, not the date you are reading this.
“Губёшки Матрёшки” (@naturolacosmetics), 11,618 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/naturolacosmetics.
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.