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 18 September 2026 and assigned it the closest of 31 fixed categories, at 37% 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
12 measurements spanning 41 days, net -11. 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 1,201–1,216 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
18 Sept 2026, 10:22
1,203
-1
14 Sept 2026, 07:58
1,204
-5
5 Sept 2026, 12:56
1,209
-1
1 Sept 2026, 22:56
1,210
-1
27 Aug 2026, 10:33
1,211
+1
24 Aug 2026, 11:45
1,210
-2
20 Aug 2026, 18:46
1,212
-1
17 Aug 2026, 16:24
1,213
+1
14 Aug 2026, 14:57
1,212
-1
11 Aug 2026, 06:07
1,213
-1
8 Aug 2026, 15:08
1,214
no change
8 Aug 2026, 03:16
1,214
first reading
Engagement
7 posts held, back to 3 March 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 page of Telegram’s post history, 20 posts per page.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 7 posts for this entry, the most recent from 6 August 2026. An engagement rate over an empty window would be a number about nothing.
What this channel posts
Video runtime
47s
Average length
47s
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.
Reaction mix
193 reactions across 7 posts, in 7 distinct kinds. The most used accounts for 66.3% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
128
66.3%
🔥
40
20.7%
👍
14
7.25%
🥰
5
2.59%
🙏
4
2.07%
👏
1
0.518%
💯
1
0.518%
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 7 of the 7 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 193 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 7 most recent posts we hold, published 3 March 2026 to 6 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.
Недавно открыла для себя интересный проект — ПроКаникулы.
Мой младший брат после совместного просмотра всех частей фильма «Форсаж», не на шутку увлёкся машинами, поэтому этим летом поехал на программу «Про Картинг».
Признаться честно, думала, что дети там просто катаются. А оказалось, всё гораздо интереснее. Они разбирались, как устроен гоночный карт, учились правильно проходить трассу, тренировались, а в конце даж…
#ЯркиеДиалоги продолжаются ✨
Сегодня в гостях — Анна Пескова, актриса и продюсер.
🗣Поговорили о будущем анимации, роли живого актёра в цифровую эпоху и о том, почему технологии никогда не заменят человеческие эмоции.
Что обсудили:
— как актёры помогают аниматорам создавать живых персонажей
— почему детям важно развивать наблюдательность
— каким может стать кино и анимация через 10–15 лет
— и какие мультфильмы
вдо…
Друзья!
Поможем вместе!
Мальчик Максим из Рязанской области, 4 года
Заболевание - миодистрофия дюшена
Из за поломки гена дистрофина его мышцы разрушаются (но всё можно остановить, благодаря уколу)
‼️Сумма сбора на лечение
235 млн р.
СОЦ СЕТИ:
• ВК: https://vk.ru/save_maxim2025
• ТГ: https://t.me/save_maxim2025
ТАПЛИНК👇👇👇
(Здесь документы, вся информация о сборе, активные прямые ссылки на оплату и наши соцсети)
ht…
📝Быть грамотным — это модно!
18 апреля в Гимназии Примакова пройдет Тотальный диктант — ежегодная просветительская акция для всех желающих. Это отличная возможность проверить свою грамотность и уровень владения русским языком.
Текст продиктует Анна Пескова — актриса кино, телеведущая и кинопродюсер.
Не упустите шанс бросить вызов самому себе и доказать, что правила русского языка вам по плечу!
Регистрация уже отк…
🌿Каждое утро нам выдают билет в вечность...
И только от нас зависит, проведём ли мы этот день в суете, глядя в экран телефона, или наполним его настоящим счастьем: звонким смехом детей и искренними шумными беседами с друзьями, счастливыми улыбками, от которых теплеет внутри, крепкими объятиями любимых, в которых хочется раствориться.
Проведём ли мы его в суете и невнимательности, или выберем другой путь — почувству…
И года в год, из сезона в сезон неизменно посещаю свою любимую выставку CPM Moscow💕
#cpmmoscow
❤35🔥3🥰2
Showing the 7 most recent of 7 posts we hold for @annapeskova. 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.
Forward network
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.
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.
Cross-platform identity — Wikidata
A Wikidata item names this Telegram handle as belonging to the entity it describes. This is Wikidata’s claim, not a verification made by this register — nobody here confirmed that the account is genuinely operated by the entity named. Wikidata content is CC0; every fact below is dated to when it was read from Wikidata, not to when the association was first made there.
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.
“Анна Пескова” (@annapeskova), 1,203 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/annapeskova.
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.