Personal blog — 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 10 September 2026 and assigned it the closest of 31 fixed categories, at 65% 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
47 measurements spanning 78 days, net +78. 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 25,644–25,980 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 47
Measured (UTC)
Subscribers
Change
24 Oct 2026, 13:46
25,808
-4
23 Oct 2026, 17:15
25,812
-4
22 Oct 2026, 16:17
25,816
+1
21 Oct 2026, 10:16
25,815
-1
20 Oct 2026, 05:06
25,816
-22
19 Oct 2026, 08:31
25,838
+1
18 Oct 2026, 10:58
25,837
-5
17 Oct 2026, 10:15
25,842
-3
16 Oct 2026, 12:39
25,845
-13
15 Oct 2026, 09:08
25,858
-5
14 Oct 2026, 11:07
25,863
-2
12 Oct 2026, 23:44
25,865
-7
8 Oct 2026, 14:14
25,872
+6
4 Oct 2026, 00:37
25,866
-37
25 Sept 2026, 05:54
25,903
-23
18 Sept 2026, 18:01
25,926
+1
16 Sept 2026, 12:38
25,925
-16
14 Sept 2026, 16:21
25,941
+10
13 Sept 2026, 01:36
25,931
+5
11 Sept 2026, 05:41
25,926
first reading
Engagement
53 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 109 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
13.5%
avg views ÷ 25,808 subscribers
Avg views / post
3,480
20 posts measured
Reaction rate
2.81%
reactions ÷ views · ER floor
Posts in window
21
of 53 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 23 October 2026
Posts held
53 (2 August 2026 – 23 October 2026)
Views total
69,520
Reactions total
1,955
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
24 Oct 2026, 06:26 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
5m 10s
Average length
18s
Measured directly from 17 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
3,973 reactions across 51 posts, in 11 distinct kinds. The most used accounts for 22.7% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
custom 5323610365664197069
903
22.7%
💘
703
17.7%
🔥
574
14.4%
😍
437
11.0%
💔
363
9.14%
🎃
343
8.63%
custom 5453930874699542906
294
7.40%
💯
151
3.80%
custom 5321141412304027145
136
3.42%
custom 5345797174577881268
67
1.69%
🎉
2
0.05%
Custom emoji. 4 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 51 of the 53 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 3,973 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 53 most recent posts we hold, published 2 August 2026 to 23 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.
Немного вчерашнего: завтрак и моя рекомендация из Магнита. Вот этот мягкий йогуртовый сыр очень понравился в пасту и на хлеб - у него легкая нежная консистенция и слегка солоноватый вкус. Сейчас вместо творожного покупаю)
И продолжаю в Варин сон раскраски диснеевские по номерам - меня это слишком расслабляет, сидела бы и сидела🩷🤍
Сегодня готовим необычные хот-доги с начинкой - мне очень уж понравилось такое сочетание, соединила, можно-сказать, роллы с хот-догом🐱
🌭Ингредиенты:
3 булочки для хот-догов
2 столовые ложки с горкой пасты криль или творожного сыра
6 пластинок плавленного сыра
Креветки - около 12 крупных королевских
небольшой огурец
1/2 красного лука
1-2 мягких авокадо
Соль по вкусу
Зеленый и хрустящий лук по вкусу
В булочки кладем …
Когда к нам приезжает мама, я обычно думаю, что буду много работать и снимать, но по факту я таааак расслабляюсь, не передать словами, поэтому чуть пропадаю отовсюду🏠🦉
Это вот на завтрак была сегодня пп версия Цезаря-Чикенбургера, вкусно очень! А ещё оцените, как хорошо осень во мне с новогодним приближающимся (но пока рано!) настроением играет на второй фотографии))
А ещё показываем Варе любимые старые-старые муль…
Заготовки вместо колбасы - часть 3🤎
Объединила два видео с рецептами, которые выкладывала в том году, под нашу рубрику заготовок вместо колбасы, сохраняйте, если ещё не готовили. Особенно советую рваную говядину, но и нарезка из филе часто выручает - добавлять можно везде, а с маринадом экспериментировать
Рецепты оставлю в комментариях🧙♀️🧙♀️
Готовили с Варей на днях её первые пирожки - процесс увлекательный, но снимать это все параллельно не так-то просто))
Но нам (а особенно ей) понравилось 🐱
Из последних тарелочек и того, что готовила (но что-то пока за кадром - подготовила много рецептов для вас)🕯🫖
Если в комментариях поделитесь своими тарелочками по традиции, буду рада посмотреть 🤎
Немного выходного рандома: завтрак, пополнение запасов масла гхи - до этого я всегда использовала классическое, а тут вон какие вкусы💔
И к нам приехала моя мама в отпуск, поэтому встречала её вкусным обедом, а вчера печенье любимое пекла
Вчера ещё по Читай Городу ходила, нашла несколько книг, которые хочу прочитать🕯
Эта заготовка входит в список моих любимых, поэтому в выходные сделала побольше в заморозку: творожное тесто универсальное, из него же я делаю заготовку быстрых ватрушек, мини-пицц и лодочек-хачапури. В комментариях сейчас напишу полный рецепт, как готовить после заморозки и мои варианты начинок🤎
А у себя в ВК опубликовала видео 🐭🕯
🔥93custom 532361036566419706919💘12🎃1
Showing the 12 most recent of 53 posts we hold for @shabrusya. 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.
Mentions
Named by 3 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.
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 24 October 2026 — this
entry's latest reading, not the date you are reading this.
“shabrusya” (@shabrusya), 25,808 subscribers as measured 24 October 2026. Telegram Register, tgregister.com/channel/shabrusya.
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.