Telegram RegisterThe public register of Telegram

Channel

After Effects / Motion Design

@a_study

On this record: Growth · Engagement · What this channel posts · Reactions · Advertising · Posts · Citations · Cite this entry

47,368subscribers

-6 since we began measuring on 5 August 2026

Risers and fallers across the register · movement among entries of 31,623–100,000.

Register entry

Telegram ID-1001157012644
TypeChannel
Username@a_study
Created3 December 2018measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live13 August 2026
Measurements held9
Confirmed unchanged1 time, most recently 13 August 2026
On Telegramt.me/a_study

Growth

47,36747,38447,375.55 August 2026 — 47,374 subscribers6 August 2026 — 47,374 subscribers6 August 2026 — 47,367 subscribers7 August 2026 — 47,370 subscribers8 August 2026 — 47,375 subscribers9 August 2026 — 47,384 subscribers11 August 2026 — 47,381 subscribers12 August 2026 — 47,373 subscribers13 August 2026 — 47,368 subscribers47,3685 August 202613 August 2026
9 measurements spanning 7 days, net -6. 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 47,364–47,387 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
13 Aug 2026, 09:5647,368-5
12 Aug 2026, 11:0647,373-8
11 Aug 2026, 07:4147,381-3
9 Aug 2026, 09:5147,384+9
8 Aug 2026, 06:2147,375+5
7 Aug 2026, 05:3647,370+3
6 Aug 2026, 05:2847,367-7
6 Aug 2026, 01:4647,374no change
5 Aug 2026, 22:2247,374first reading

Engagement

33 posts held, back to 23 July 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 22 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
7.99%
avg views ÷ 47,368 subscribers
Avg views / post
3,780
33 posts measured
Reaction rate
0.126%
reactions ÷ views · ER floor
Posts in window
33
of 33 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. It is computed over the 31 of 33 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 12 August 2026
Posts held33 (23 July 202612 August 2026)
Views total124,850
Reactions total150
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken13 Aug 2026, 09:10 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
3h 25m
Average length
7m 54s

Measured directly from 26 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

140 reactions across 30 posts, in 6 distinct kinds. The most used accounts for 63.6% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍8963.6%
2215.7%
🔥2014.3%
👎42.86%
🤔32.14%
🍌21.43%

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 31 of the 33 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 150reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 33 most recent posts we hold, published 23 July 2026 to 12 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.

Advertising

Ad load
3.03%
1 of 33 posts carry an ad marker
Regulatory tokens
1
posts carrying an erid · 1 distinct token
Median views · ads
2,890
over 1 measured post
Median views · rest
3,890
over 32 measured posts

An ad marker, not a judgement about a post. A post is counted here because it carries one of two explicit markings: an erid token, which Russian law has required on paid placements since 2022 and which is issued against a specific advertising contract, or a #реклама / #ad hashtag in the body, which is the channel declaring it itself. The first is documentary; the second is a self-declaration and is weaker. No classifier reads the text and decides — nothing on this site guesses that a post is an advertisement.

This is a floor, and it can only ever be a floor.A channel that runs paid placements without marking them produces no marker for us to count, and an unmarked ad is indistinguishable from an ordinary post on the public surface. The ad load above therefore means “the share of posts that declared themselves”, never “the share of posts that were paid for”. A low figure is not evidence of a channel that runs few ads.

Both figures are medians, and no ratio between them is published. Each is a view reading that actually occurred on a post, picked by percentile_disc rather than averaged, so one viral post cannot move it and no interpolated value is invented between two readings. The sample on one side is under five posts, which is too thin to compare. The two figures are shown side by side with the count behind each, and deliberately not divided into a headline like “ads get x% fewer views” — an arithmetic that is easy to print and, at this sample size, means nothing.

Advertising tokens recorded on this entry
eridPostsFirst seenLast seen
2Vtzqx6DwD5112 August 202612 August 2026

A token repeated across several posts is one advertising contract placed more than once, which is what the identifier is for. The strings are reproduced exactly as they appeared in the post or in its click-through URL and are not validated against any registry — we record the marker a channel published, and whether it resolves to a real contract is a question for the register that issued it.

Measured over the 33 most recent posts we hold, published 23 July 2026 to 12 August 2026. Views are the latest single reading held for each post, and any reading at or above 1,000 is rounded by Telegram to three significant figures.

Recent posts

12 Aug 2026, 15:36 UTC≈2,800 views1 reactionsread 13 August 2026
Video

Анимируйте любой экран внутри 3D-модели в After Effects (без Blender) Узнайте, как анимировать снимки экрана, изображения и видео внутри 3D-моделей в After Effects без использования Blender или каких-либо сторонних плагинов. В этом уроке вы узнаете, как заменить любой экран собственным контентом, создать реалистичное освещение с помощью карт среды HDRI, анимировать 3D-модели и сделать ваши изменения более кинематогр

👍1

12 Aug 2026, 12:33 UTC≈2,890 views1 reactionsread 13 August 2026
Advertisementerid 2Vtzqx6DwD5Photo

Как устроена работа VFX-студии изнутри 22 августа пройдёт онлайн-паблик-ток с экспертами из Main Road Post и FrameBakery — студий, работавших над «Притяжением», «Сталинградом», «Мастером и Маргаритой» и «Чебурашкой». Обсудим: • с чего начать карьеру в VFX; • что ждут от джунов и как расти внутри студии; • чем отличаются пайплайны в кино и рекламе; • как нейросети меняют рабочие процессы; • как устроены дедлайны, ко

1

12 Aug 2026, 09:49 UTC≈2,980 views2 reactionsread 13 August 2026
Video

Как анимировать листья Здесь мы будем анимировать красивое растение, используя стандартные инструменты в After Effects. #tutorial | By al_leleka

👍2

11 Aug 2026, 15:51 UTC≈3,150 views4 reactionsread 13 August 2026
Video

Продвинутая интеграция НЛО в After Effects В этом уроке я покажу вам, как именно реализовать реалистичную 3D-интеграцию НЛО полностью в Adobe After Effects. Без использования какого-либо внешнего 3D-программного обеспечения. #tutorial | Project | By Ignace Aleya

👍2👎2

11 Aug 2026, 12:43 UTC≈3,170 viewsread 13 August 2026
Video

✨✨ Освой 3D за 4,5 месяцев в Home Digital School! HDS разложили моделирование по полочкам и сделали обучение понятным даже для новичков. Подробнее ТУТ За 80 уроков ты: ✅ Освоишь Blender, Marmoset и Substance Painter ✅ полный паплайн — от первых форм до финального рендера ✅ персонажи, окружение и hard-surface. ✅ на каждом этапе вас будут сопровождать наставники с подробной обратной связью и видеоразборами работ ✅ со

11 Aug 2026, 12:42 UTC≈3,140 views1 reactionsread 13 August 2026
Video

Создание текстур в After Effects #tutorial | By danzeysss

👍1

10 Aug 2026, 13:51 UTC≈3,340 views3 reactionsread 13 August 2026
Video

Создайте гиперреальную анимационную графику в After Effects От чистоты до кинематографичности – вот секреты создания самой визуальной анимационной графики. Мы разберем эти два замечательных примера как драматических, так и студийных визуальных эффектов прямо здесь, в After Effect. 00:00 Вступление 00:17 Секрет 1 01:23 Секрет 2 03:18 Секрет 3 04:32 Секрет 4 05:37 Секрет 5 #tutorial | Project | By SonduckFilm

🔥2👍1

10 Aug 2026, 09:05 UTC≈3,410 views2 reactionsread 13 August 2026
Video

Аддоны, плагины, софт, статьи, пресеты, бесплатные модели, самый полезный и интересный контент, собранный с душой. Облегчаем жизнь тридешника вместе с @threedforyouu

👍2

10 Aug 2026, 06:11 UTC≈3,450 views7 reactionsread 13 August 2026
Video

Пошаговое руководство по настройке пальца в After Effects #tutorial | By tcastro.motion

👍7

9 Aug 2026, 11:21 UTC≈3,560 views6 reactionsread 13 August 2026
Video

Трюк с мягким Threshold, о котором редакторы не говорят, в After Effects #tutorial | by P A N T E R

🔥4👍2

Showing the 12 most recent of 33 posts we hold for @a_study. 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.

Citation-graph rank

Citation-graph rank — 433,892 of 1,160,990entries 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.

Mentions

Named by 4 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.

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

“After Effects / Motion Design” (@a_study), 47,368 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/a_study.

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.