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Channel

Animation School: анимация на практике

@animationschool_ru

On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Posts edited after publishing · Citations · Cite this entry

15,757subscribers

-75 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1001784230378
TypeChannel
Username@animationschool_ru
DescriptionСообщество профессионалов и любителей анимации. № 7172441853 - номер заявления для регистрации в Роскомнадзоре. 14 лет успешно готовим кадры в анимационную индустрию в школе Animation School.
CreatedBetween 1 December 2021 and 30 April 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live14 August 2026
Measurements held8
Confirmed unchanged1 time, most recently 14 August 2026
On Telegramt.me/animationschool_ru

Growth

15,75715,83215,794.56 August 2026 — 15,832 subscribers7 August 2026 — 15,823 subscribers8 August 2026 — 15,805 subscribers10 August 2026 — 15,793 subscribers11 August 2026 — 15,789 subscribers11 August 2026 — 15,778 subscribers13 August 2026 — 15,770 subscribers14 August 2026 — 15,757 subscribers6 August 202614 August 2026
8 measurements spanning 8 days, net -75. 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 15,746–15,843 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
14 Aug 2026, 15:1615,757-13
13 Aug 2026, 02:1815,770-8
11 Aug 2026, 23:4215,778-11
11 Aug 2026, 02:0815,789-4
10 Aug 2026, 00:2815,793-12
8 Aug 2026, 20:5215,805-18
7 Aug 2026, 19:1515,823-9
6 Aug 2026, 21:4715,832first reading

Engagement

40 posts held, back to 5 August 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 19 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
4.53%
avg views ÷ 15,757 subscribers
Avg views / post
713
40 posts measured
Reaction rate
2.35%
reactions ÷ views · ER floor
Posts in window
40
of 40 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
WindowRolling 30 days · latest post in window 14 August 2026
Posts held40 (5 August 202614 August 2026)
Views total28,531
Reactions total671
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken14 Aug 2026, 16:44 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
15,200
Videos
1,710
Links
4,030

Lifetime counters from Telegram’s own channel header, read 14 August 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
4m 33s
Average length
39s

Measured directly from 7 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

671 reactions across 40 posts, in 16 distinct kinds. The most used accounts for 44.0% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
29544.0%
🔥11917.7%
❤‍🔥9013.4%
👍507.45%
😁436.41%
👎202.98%
😱131.94%
121.79%
81.19%
🤝50.745%
🎉40.596%
💯30.447%
🗿30.447%
😭30.447%
👏20.298%
🤣10.149%

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 40 of the 40 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 671reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 40 most recent posts we hold, published 5 August 2026 to 14 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.

Recent posts

14 Aug 2026, 15:04 UTC278 views14 reactionsread 14 August 2026
Photo

☁️ Любуемся красотой кадров корейского аниме от Netflix «Затерявшись в звездах» и разбираемся, почему от его визуала невозможно оторвать глаз ⭐️Один из главных приемов в фильме — контрастная цветокоррекция. Земля и Марс показаны в совершенно разных тонах и свете, и эти отличия подчеркивают чувства героев. Цвет здесь рассказывает историю не хуже слов и действий. ⭐️Земные сцены наполнены мягкой палитрой с преобладани

10❤‍🔥3👍1

14 Aug 2026, 14:29 UTC406 views1 reactionsread 14 August 2026
Photo

Стрим — через полчаса! Антон Прошин, 2D-аниматор и супервайзер анимации, поделится своим опытом работы и покажет «внутренности» проектов: как он делал анимацию в Moho для сериалов, рекламы, кино и авторских короткометражек. Но это еще не все! Антон объявит творческий конкурс, победитель которого получит крутой артбук по сериалу «Аркейн» и скидку на обучение на его курсе. Подключайся в 18:00 мск YouTube или VK Виде

1

14 Aug 2026, 10:22 UTC556 views6 reactionsread 14 August 2026

Какой мультфильм вам понравился больше всего за это лето? ☁️

6

14 Aug 2026, 09:04 UTC658 views12 reactionsread 14 August 2026
Photo

Перекладочная анимация — какая она бывает? Векторная, растровая, сериальная, авторская и даже с применением нейросетей. И все это можно делать в одной программе — Moho. Антон Прошин, 2D-аниматор и супервайзер анимации, поделится на стриме своим опытом работы и покажет «внутренности» проектов: как именно он делал анимацию для сериалов, рекламы, кино и авторских короткометражек. Но это еще не все! Антон объявит твор

64👍2

13 Aug 2026, 17:13 UTC792 views22 reactionsread 14 August 2026
Photo

А ментор все равно не поругал, а поддержал 💙 ⭐️Готовим кадры: https://clck.ru/3VDR4A

😁182👍2

13 Aug 2026, 16:32 UTC796 views25 reactionsread 14 August 2026
Photo

☁️ Почему сериал «Рапунцель: Новая история» был сделан в 2D? Когда после успешного 3D мультфильма студия Disney выпустила 2D сериал «Рапунцель: Новая история», многие удивились смене визуала. Но за этим решением скрывается интересная отсылка к оригиналу. Стиль сериала был вдохновлен фресками, которыми Рапунцель расписывала стены башни в первом фильме. Их эскизы создала Клэр Кин (дочь аниматора Глена Кина). Авторы п

15🔥7👍3

13 Aug 2026, 15:12 UTC703 views3 reactionsread 14 August 2026
Photo

🦴 Что важно знать риггеру об анатомии? Собрали основные вещи, которые важно понимать в анатомии, чтобы создавать удобные, предсказуемые и хорошо деформирующиеся риги. Сохраните, чтобы сверяться во время работы 😊 ⭐️ А если хотите разбираться не только в анатомии, но и понимать, как превратить ее в удобную систему управления персонажем — приходите на курс «Продвинутый риггинг». Стартуем сейчас, осталось 1 место: htt

3

13 Aug 2026, 11:27 UTC823 views33 reactionsread 14 August 2026
Video

😊 Pixar показала, какой могла быть встреча Джесси с повзрослевшей Эмили Pixar выложила раскадровки эпизода, не попавшего в прокатную версию «Истории игрушек 5». Джесси случайно выходит к дому, где уже немолодая Эмили играет во дворе с внуком. Она показывает куклу малышу и вспоминает, как сама возилась с ней в детстве. Режиссеры Эндрю Стэнтон и Кенна Харрис объяснили: Джесси им дорога, и достойное завершение ее лини

26👍3🔥3👏1

12 Aug 2026, 18:11 UTC≈1,930 views16 reactionsread 14 August 2026
Photo

Перекладочная анимация — какая она бывает? Векторная, растровая, сериальная, авторская и даже с применением нейросетей. И все это можно делать в одной программе — Moho. Антон Прошин, 2D-аниматор и супервайзер анимации, поделится на стриме своим опытом работы и покажет «внутренности» проектов: как именно он делал анимацию для сериалов, рекламы, кино и авторских короткометражек. Но это еще не все! Антон объявит твор

106

12 Aug 2026, 15:22 UTC752 views10 reactionsread 13 August 2026
Photo

☁️ Где ошибается риггер? ☁️ Собрали вторую часть основных ошибок. ☁️Сохраните, чтобы сверяться во время работы ⭐️А если хотите разбираться не только в том, куда поставить сустав, но и строить более сложные, удобные и предсказуемые риги — приходите на курс «Продвинутый риггинг». Стартуем сегодня, осталось 1 место: https://clck.ru/3VCfdR

5🔥3👍2

12 Aug 2026, 14:02 UTC541 views12 reactionsread 13 August 2026
Photo

Что делает Toon Boom Harmony удобным не в теории, а в ежедневной работе аниматора? 🔥 Спросили Иоанна Королёва — аниматора и супервайзера, который сделал в Harmony уже несколько проектов и преподает программу на нашем курсе. Он собрал функции, за которые особенно ценит этот софт: от гибкого рига и Drawing Substitution до графиков, масок и инструментов для покадровой анимации Хотите освоить Toon Boom Harmony не по от

7❤‍🔥5

Showing the 12 most recent of 40 posts we hold for @animationschool_ru. 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

@animationschool_ru 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
13 August 2026
Most recent edit
13 August 2026

Citation-graph rank

Citation-graph rank — 27,776 of 1,340,412entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.

Forward network

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 1 registered channel — 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.

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 14 August 2026 — this entry's latest reading, not the date you are reading this.

“Animation School: анимация на практике” (@animationschool_ru), 15,757 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/animationschool_ru.

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.