Тут все эстетично про книги и баночки:
на моих полках около 1000 книг и более 100 флаконов парфюма
Основатель: @riya_brekker
Менеджеры : @evgen_menedger @prmyshalovaaa
Created
12 March 2022 — measured — cross-checked against a third-party dataset (ext.tg_channel)
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 9 September 2026 and assigned it the closest of 31 fixed categories, at 75% 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
44 measurements spanning 73 days, net -1,071. 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 13,435–34,891 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 44
Measured (UTC)
Subscribers
Change
18 Oct 2026, 17:28
23,688
+352
17 Oct 2026, 15:37
23,336
+1,586
16 Oct 2026, 14:50
21,750
+697
15 Oct 2026, 12:49
21,053
+985
14 Oct 2026, 09:58
20,068
-68
12 Oct 2026, 22:06
20,136
+334
8 Oct 2026, 14:19
19,802
+756
4 Oct 2026, 06:15
19,046
-1,452
25 Sept 2026, 10:37
20,498
+81
19 Sept 2026, 02:41
20,417
+139
16 Sept 2026, 15:40
20,278
+429
14 Sept 2026, 17:40
19,849
-3
13 Sept 2026, 05:41
19,852
-4,335
11 Sept 2026, 11:42
24,187
-8,228
8 Sept 2026, 18:58
32,415
+1,964
5 Sept 2026, 11:40
30,451
+776
3 Sept 2026, 10:27
29,675
+11,382
2 Sept 2026, 05:43
18,293
-24
1 Sept 2026, 08:08
18,317
-7
31 Aug 2026, 11:27
18,324
first reading
Engagement
61 posts held, back to 2 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 60 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
16.4%
avg views ÷ 23,688 subscribers
Avg views / post
3,880
9 posts measured
Reaction rate
3.33%
reactions ÷ views · ER floor
Posts in window
9
of 61 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 18 October 2026
Posts held
61 (2 August 2026 – 18 October 2026)
Views total
34,930
Reactions total
1,163
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
19 Oct 2026, 04:17 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
Photos
≈5,420
Videos
≈137
Links
≈461
Lifetime counters from Telegram’s own channel header, read 19 October 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.
Video runtime
3m 34s
Average length
27s
Measured directly from 8 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
5,092 reactions across 61 posts, in 18 distinct kinds. The most used accounts for 35.2% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
1,794
35.2%
🔥
1,419
27.9%
🥰
328
6.44%
custom 5215400545837154352
304
5.97%
😍
289
5.68%
custom 5242240298981021439
269
5.28%
custom 5319040352957538375
247
4.85%
custom 5276281329300820603
186
3.65%
💋
77
1.51%
custom 5334614265150073425
57
1.12%
custom 5278660569384113054
30
0.589%
❤🔥
28
0.55%
💘
25
0.491%
custom 5278250374237542691
22
0.432%
custom 5276354210600866356
11
0.216%
💔
3
0.059%
😈
2
0.039%
🍓
1
0.02%
Custom emoji. 8 of the rows above are 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 counts beside them are 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 61 of the 61 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 5,092 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 61 most recent posts we hold, published 2 August 2026 to 18 October 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
8
across the posts below
Posts paid on
2
of 61 we hold a reading for · 3%
Most on one post
7
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @riyabrekker. 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 61 most recent posts we hold for this entry, published 2 August 2026 to 18 October 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.
УЖЕ В ПРОДАЖЕ!
Парадоксальный триллер для любителей загадочных историй!
Лора Кейли: ГОСТЬ
Детектив полиции Мэтью Ашер прибывает в тихий городок, где по программе защиты свидетелей живет журналистка Линда Янг.
Он должен защищать ее от преследователей, но вскоре становится ясно, что этот город не убежище, а смертельная ловушка, и помощь здесь нужна не только Линде. Таинственные исчезновения, покушения, убийства, – и…
Всем приветик 🙂
Только что прочитала мистический сборник — и это прям то, что я люблю осенью. Обожаю всё загадочное и немного волшебное: атмосферно, таинственно, и читается с особым настроением.
Рассказы там разные — все они из классики, с некоторыми я уже была немного знакома. Но даже в этом случае было интересно снова погрузиться в эти истории. 🖤✨
#отзывыРия
#парфюмерныйМаньякРи
Рассказываю историю 😄
Я когда прихожу в школу, иногда происходит вот такое:
Нюх-нюх
Тетя Вика пришла. Ура!
И я раньше не понимала, как они вообще догадались, что это я. Оказывается, по шлейфу парфюма — прям нюхают и узнают 😂✨
Вспомнила эту историю и решила зайти на сайт АромаКо. Часто у ребят беру разные позиции, нравится, что всё сделано удобно: интерфейс понятный, быстро нахожу нужное.
В этот…
#БьютиИНеТолько
Решила поделиться своими банками, которые реально работают и делают кожу невероятно гладкой и ухоженной. Никакой магии — только классный состав! Сохраняйте фаворитов 👇
🌟 Пенка 1025 Dokdo Cleanser
Густая, взбитая пенка. Отлично очищает до скрипа, но без чувства стянутости. Кожа после нее свежая.
🌟Тонер 1025 Dokdo Toner
Моя любовь для мягкого отшелушивания. Никаких агрессивных скрабов — за счет соста…
Доброе осеннее утро 🍂
Утро пахнет тёплым чаем, пледом и шуршанием листвы — идеальное настроение для спокойной музыки.
А какая песня у вас ассоциируется с осенью? Поделитесь треком — собираю плейлист на долгие прогулки. 🎧🍂
Я не знаю, кто меня откопал. Но закопайте обратно. Я немного вышла из прайма. Скоро вернусь. Дайте неделю на восстановление.
Увидела эту яркую палетку в боксе от Trendy Box — и дальше всё как в тумане 😄 Взяла бокс не думая.
А вы посмотрите, какое крутое наполнение! И всё такое заграничное — прям как будто в отпуск уехала, только с косметикой ✨
Мировые бестселлеры от Trendy Box
Бренды в составе:
🇮🇹 Vagheggi — Selective Professional — L'Arte del Bello🇮🇹
🇫🇷 URIAGE — EAU THERMALE AVÈNE 🇫🇷
🇬🇧 MAKEUP REVOLUTION — Carbon Theory🇬🇧
🇺🇸 MyBiogen L…
+ 2 новых хобби в копилку:
Филфорды на Английском 😊
Переписывание книг (не спрашивайте)
Сейчас модно иметь нишевое хобби. Я вот "завела" себе целых два. Достаточно нишево? А какие хобби у вас ?
#БьютиИНеТолько
#лошадинаясила
Один из самых действенных способов помочь своим волосам — это средства «Лошадиная сила». О них много говорили, но, к сожалению, многие о них забывают. А зря! После жестокого использования плойки и фена, а также летних укладок на палящем солнце, эти баночки просто необходимы для восстановления.
Я взяла набор для роста и укрепления, потому что хочу ещё длиннее волосы.
❤27🔥18custom 52762813293008206035
Showing the 12 most recent of 61 posts we hold for @riyabrekker. 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.
Stars beside a post are paid reactions — Telegram Stars, bought with money and spent on that post. They are a different unit from reactions and are never added to them, here or anywhere else on this page.
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 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.
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.
Channels Telegram recommends alongside this one
Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.
Read from Telegram’s recommendation API, most recently 27 September 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.
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.
ϟ ГАРРИ ПОТТЕР | HARRY POTTER @gaarry_potter · 22,449 Telegram ranks this channel #40 of 83 here — alongside 82 others — read 21 September 2026
Копилка впечатлений @tatyanareads · 25,610 Telegram ranks this channel #51 of 85 here — alongside 84 others — read 21 September 2026
This channel appears in 2 seed channels' Telegram-generated recommendation lists 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 October 2026 — this
entry's latest reading, not the date you are reading this.
“Виктория 🦊” (@riyabrekker), 23,688 subscribers as measured 18 October 2026. Telegram Register, tgregister.com/channel/riyabrekker.
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.