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Telegram profile photo for Roman Baklakov

Channel

Roman Baklakov

@baklakov_md

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

576subscribers

+1 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID-1002445330155
TypeChannel
Username@baklakov_md
CreatedBetween 1 September 2024 and 31 March 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded8 August 2026
Last confirmed live15 August 2026
Measurements held3
Confirmed unchanged1 time, most recently 15 August 2026
On Telegramt.me/baklakov_md

Growth

575576575.57 August 2026 — 575 subscribers8 August 2026 — 575 subscribers15 August 2026 — 576 subscribers7 August 202615 August 2026
3 measurements spanning 7 days, net +1. 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 575–576 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
15 Aug 2026, 07:08576+1
8 Aug 2026, 03:30575no change
7 Aug 2026, 19:43575first reading

Engagement

9 posts held, back to 14 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 1 pageof Telegram’s post history, 20 posts per page.

ERR · 30 days
73.0%
avg views ÷ 576 subscribers
Avg views / post
421
7 posts measured
Reaction rate
3.94%
reactions ÷ views · ER floor
Posts in window
7
of 9 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 5 August 2026
Posts held9 (14 July 20265 August 2026)
Views total2,945
Reactions total116
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken8 Aug 2026, 03:30 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
49s
Average length
16s

Measured directly from 3 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

157 reactions across 9 posts, in 14 distinct kinds. The most used accounts for 35.0% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
5535.0%
🔥4931.2%
🥰117.01%
👍106.37%
95.73%
🌚63.82%
🗿42.55%
🤯31.91%
❤‍🔥21.27%
🆒21.27%
💯21.27%
🦄21.27%
🎄10.637%
💩10.637%

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 9 of the 9 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 157reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 9 most recent posts we hold, published 14 July 2026 to 5 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

5 Aug 2026, 15:16 UTC248 views17 reactionsread 8 August 2026
Photo

C4D_Marker_Transfer 😍 Навайбкодил маленький скриптец для переноса маркеров из одного проекта в другой - оставлю в комментариях.

🔥17

3 Aug 2026, 18:57 UTC306 views13 reactionsread 8 August 2026
Photo

Вот до меня и доехал Almanac13x25 Очень необычно держать в руках такую работу. Это как артбук по вселенной, от которой ты сильно фанатеешь, но только это не вселенная, а творческий путь твоего друга на 300+ страниц с работами, скетчами и саморефлексией на тему творчества, выгорания и выхода из него. Если эти размышления вам близки, то можете ознакомиться сначала с этим, а потом с этим постом. @Sergikkas, спасибо!

🔥8🤯3❤‍🔥2

2 Aug 2026, 13:38 UTC349 views6 reactionsread 8 August 2026
Forwarded from @sergikkasPhoto

✅ Ура! Ролик уже на канале! Приятного просмотра! Ссылка: https://youtu.be/ES1OsPVrY-8

🔥6

30 Jul 2026, 06:43 UTC604 views22 reactionsread 8 August 2026
Photo

На вот такой прикольчик наткнулся :) Реалтайм ai рендер через Lucy 2.5 Github - https://github.com/VantageInc/LucyLive-AI-Render Автор - Denis Sibilev

9🌚6🗿4💩1🔥1🥰1

29 Jul 2026, 12:26 UTC294 views14 reactionsread 8 August 2026
Forwarded from @adrogan_artPhoto

Собрал SplineExport — плагин для Cinema 4D, который позволяет экспортировать сплайны в векторе буквально в пару кликов. Выделяем объект, открываем Spline Export — и получаем готовый контур. Плагин работает со сплайнами, текстом, Extrude, иерархиями и простыми полигональными объектами. Несколько элементов можно оставить в исходном положении или автоматически разложить плотным рядом либо столбиком. Экспортирует в AI,

10💯2🆒2

25 Jul 2026, 10:05 UTC791 views31 reactionsread 8 August 2026
Photo

Дайджест всяких CG полезностей #2 🔵Clippy 😍 - плагин для C4D, позволяющий обрезать геометрию по вертекс карте ($0+) 🔵RS_Area_OBJ_Handles 🛸🤩 - удобные хэндлы для RS светильников в гудини от Ильи Капустина 🔵InstaLOD - получил поддержку 😍 C4D. Это набор инструментов для оптимизации моделей со своим квад ремешером, кучей других видов ремеша и алгоритмами конвертации CAD моделей в полигональные. Free лицензия с доходом

16👍6🔥6🦄2🎄1

22 Jul 2026, 19:34 UTC353 views13 reactionsread 8 August 2026
Forwarded from @C4D_TutorialsPhoto

🤩 Redshift 2026.8 Ни что так не украшает летний вечер, как свежий релиз Redshift) Новинок не очень много они есть. Итак: 1. Новая нода Scratches Добавлен новый процедурный шейдер Scratches, позволяющий быстро создавать царапины без использования текстур. 2. Поддержка высоких облаков Sky & Atmosphere теперь умеет рендерить высокий слой облаков (High-Altitude Clouds), что расширяет возможности создания реалистичного

12🥰1

15 Jul 2026, 18:15 UTC392 views35 reactionsread 8 August 2026
Forwarded from @petaloombaVideo

Сегодня у меня двойной праздник — день рождения и релиз новой версии Splinora 🥳 Первую версию уже скачали почти 1500 человек. Новая, как и прежде, распространяется бесплатно. Если плагин оказался полезным в вашей работе и вы хотите поддержать то, что я делаю или поздравить меня с днём рождения, то это можно сделать любым удобным способом. Именно ваша поддержка позволяет мне посвящать больше времени тому, что дейст

17🔥11👍4🥰3

14 Jul 2026, 09:42 UTC480 views6 reactionsread 8 August 2026
Photo

Рик ищет бета тестеров для нового солвера ткани в C4D Страница самого ZOZO контакт солвера, на основе которого готовится инструмент. Сейчас вроде как только для блендера есть аддон. Можно написать ему ✖️ тут, чтобы потестить, но нужен будет детальный фидбек. (windows + nvidia)

🥰6

Showing the 9 most recent of 9 posts we hold for @baklakov_md. 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

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

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

“Roman Baklakov” (@baklakov_md), 576 subscribers as measured 15 August 2026. Telegram Register, tgregister.com/channel/baklakov_md.

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.