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 12 September 2026 and assigned it the closest of 31 fixed categories, at 51% 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
14 measurements spanning 39 days, net +638. 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 6,494–7,906 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
15 Sept 2026, 10:38
7,298
-199
11 Sept 2026, 16:01
7,497
-51
6 Sept 2026, 22:35
7,548
-39
2 Sept 2026, 05:38
7,587
-46
30 Aug 2026, 07:19
7,633
-18
27 Aug 2026, 06:34
7,651
-24
24 Aug 2026, 14:14
7,675
-68
20 Aug 2026, 16:12
7,743
+473
17 Aug 2026, 20:38
7,270
-64
14 Aug 2026, 16:37
7,334
+246
11 Aug 2026, 11:04
7,088
+431
8 Aug 2026, 02:41
6,657
-3
7 Aug 2026, 18:31
6,660
no change
7 Aug 2026, 18:19
6,660
first reading
Engagement
34 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 14 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
5.19%
avg views ÷ 7,298 subscribers
Avg views / post
379
7 posts measured
Reaction rate
11.5%
reactions ÷ views · ER floor
Posts in window
7
of 34 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 28 August 2026
Posts held
34 (4 August 2026 – 28 August 2026)
Views total
2,652
Reactions total
306
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
28 Aug 2026, 21:14 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
36s
Average length
12s
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
1,680 reactions across 33 posts, in 4 distinct kinds. The most used accounts for 40.7% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
683
40.7%
💔
473
28.2%
💋
435
25.9%
custom 5190552394798224640
89
5.30%
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 33 of the 34 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 1,680 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 34 most recent posts we hold, published 4 August 2026 to 28 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.
— Аромадиффузор IMPERATRICE AROMATHÉQUE
Когда хочется, чтобы дома пахло так же красиво, как в дорогом отеле.
IMPERATRICE — интерьерный аромат с сочетанием белого персика, орхидеи и жасмина. Получается очень женственная композиция: фруктовая сладость здесь переплетается с нежными цветочными нотами, поэтому аромат звучит свежо, мягко и при этом достаточно выразительно.
Что понравилось:
🧳красивый фруктово-цветочный а…
— Эстетика дня Венеры
Пятница — день Венеры, поэтому сегодня особенно важно оставить немного времени для себя.
Устройте маленький spa day: отправьтесь на массаж или любимую процедуру либо останьтесь дома — ванна, свечи, маска и любимый уход.
Собрала для вас видео из тиктока. Здесь и домашнее спа, и отдых в спа-центрах для вдохновения.
❤️ А ваш идеальный spa-вечер — дома или вне дома?
— Рецепт куриных фрикаделек от Хейли Бибер
Не так давно Хейли поделилась у себя в сторис рецептом своих фирменных куриных фрикаделек. Рецепт взорвал интернет, так что я решила поделиться им с вами.
Хейли говорит, что всегда готовит на глаз, так что можно расслабиться и довериться своим ощущениям.
Ингредиенты:
🧳куриный фарш
🧳смесь итальянских трав
🧳рикотта
🧳сушеный чеснок
🧳соль
🧳черный перец
🧳панировочные сухари
🧳1…
— Anti-age крем PDRN PINKLAB
Тот случай, когда состав выглядит не менее эффектно, чем сама баночка. В основе крема сразу несколько популярных anti-age компонентов: PDRN, бакучиол, спикулы и пептиды. Формула направлена на комплексный уход за кожей: повышение упругости, улучшение её текстуры и поддержание более гладкого и ухоженного вида.
Что понравилось:
🧳подходит для дневного и вечернего ухода
🧳направлен на повышен…
— Набор для ухода за кожей
У AM&PM получился целый набор средств, направленных в первую очередь на увлажнение, комфорт кожи и борьбу с сухостью и ощущением стянутости.
В наборе:
🧳мягкая очищающая пенка с растительными экстрактами, деликатно очищающая кожу для дальнейшего ухода
🧳тоник-бустер «Глубокое увлажнение» с аминокислотами как дополнительный этап увлажнения после очищения
🧳лёгкий увлажняющий крем с церамид…
— Средства для волос от Elletodo
Прекрасная пара от Elletodo: маска Lush Freesia и сыворотка Crystal Neroli. Два средства для тех дней, когда хочется дать волосам чуть больше ухода
Hair Mask Lush Freesia — маска для восстановления, питания и увлажнения волос. Помогает сделать длину более мягкой, гладкой и блестящей {особенно актуально для сухих и повреждённых волос}.
Hair Serum Crystal Neroli — лёгкая сыворотка, н…
— Лосьон после бритья MAN WAY
Вижу, что мужской уход вам тоже актуален, так что делюсь ещё одной находкой.
Плюсы:
🧳помогает успокоить кожу после контакта с бритвой
🧳смягчает и ухаживает
🧳дарит приятное ощущение прохлады благодаря ментолу
🧳удобный формат спрея — не нужно ничего выливать в ладонь
🧳быстро и легко вписывается в ежедневный мужской уход
Минимум действий, но уход уже выглядит гораздо более продуманным. И…
— Скриншоты: бьюти
🧳Тон
🧳Сухой шампунь
🧳Консилер
🧳Уход за кожей
🧳Средства для укладки
🧳Дезодорант
❤28💋22💔16
Showing the 12 most recent of 34 posts we hold for @notesofbrunette. 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
@notesofbrunette 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
19 August 2026
Most recent edit
19 August 2026
Mentions
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.
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 15 September 2026 — this
entry's latest reading, not the date you are reading this.
“Заметки брюнетки” (@notesofbrunette), 7,298 subscribers as measured 15 September 2026. Telegram Register, tgregister.com/channel/notesofbrunette.
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.