Education — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 20 August 2026 and assigned it the closest of 31 fixed categories, at 78% 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 the other topics.
Growth
56 measurements spanning 91 days, net -363. 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 16,234–16,705 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 56
Measured (UTC)
Subscribers
Change
5 Nov 2026, 15:16
16,288
-4
4 Nov 2026, 15:49
16,292
-6
2 Nov 2026, 14:19
16,298
-1
1 Nov 2026, 16:56
16,299
-7
31 Oct 2026, 14:56
16,306
-3
30 Oct 2026, 14:29
16,309
-9
29 Oct 2026, 15:21
16,318
-8
28 Oct 2026, 13:28
16,326
-10
27 Oct 2026, 13:04
16,336
-15
26 Oct 2026, 16:07
16,351
-27
25 Oct 2026, 13:59
16,378
-4
24 Oct 2026, 11:37
16,382
-2
23 Oct 2026, 14:45
16,384
-10
22 Oct 2026, 13:56
16,394
-7
21 Oct 2026, 10:06
16,401
-5
20 Oct 2026, 05:18
16,406
-1
19 Oct 2026, 02:18
16,407
-2
18 Oct 2026, 02:57
16,409
-6
17 Oct 2026, 01:08
16,415
-4
16 Oct 2026, 01:07
16,419
first reading
Engagement
19 posts held, back to 27 May 2025 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 59 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
13.0%
avg views ÷ 16,288 subscribers
Avg views / post
2,120
1 post measured
Reaction rate
0.802%
reactions ÷ views · ER floor
Posts in window
1
of 19 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 26 October 2026
Posts held
19 (27 May 2025 – 26 October 2026)
Views total
2,120
Reactions total
17
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
5 Nov 2026, 04:36 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
13m 45s
Average length
2m 45s
Measured directly from 5 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
985 reactions across 19 posts, in 22 distinct kinds. The most used accounts for 34.1% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
336
34.1%
🔥
319
32.4%
👍
142
14.4%
🤡
48
4.87%
❤🔥
32
3.25%
😁
19
1.93%
👏
13
1.32%
🤯
13
1.32%
💩
12
1.22%
🥰
10
1.02%
🗿
7
0.711%
🤮
6
0.609%
😍
5
0.508%
🫡
5
0.508%
🥱
4
0.406%
⚡
3
0.305%
🤨
3
0.305%
👀
2
0.203%
👎
2
0.203%
🕊
2
0.203%
2 further kinds
2
0.203%
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 19 of the 19 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 985 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 19 most recent posts we hold, published 27 May 2025 to 26 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.
Recent posts
Telegram’s own ‘edited’ marker: 0 of 1 post held from the last 30 days (0%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).
Привет! У нас небольшие изменения в чатах и в канале для публикации ваших работ.
Напомню, из чего состоит наше сообщество:
• Основной канал — https://t.me/blender_info
• Чат — https://t.me/blender_ru
• Болталка — https://t.me/blender_ru_talks
• Галерея работ — https://t.me/artblender
Теперь за порядком будет присматривать наш новый бот — @blender3d_ru_bot. Мы убрали функции, которые не пользовались спросом, и оста…
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3-РЕДАКТИРОВАНИЕ РАЗМЕРОВ
4-РУЧКИ ПОВОРОТА
5-МАССИВЫ И КЛОНИРОВАНИЕ
6-ВЫРАВНИВАНИЕ
7-СОРТИРОВКА БЛОКОВ ПО РАЗМЕРАМ В КОЛЛЕКЦИИ.
8-СТАТИСТИКА СБОРКИ
9-УДАЛЕНИЕ
10…
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В стандартном Blender есть только Box (прямоугольник), Circle (круг) и Lasso (лассо). Теперь появился четвертый тип — Spline, который работает как сплайн с возможностью изгиба.
ВОЗМОЖНОСТИ
1. Регулировка изгиба От -1 до 1 с шагом 0.05 (Ctrl + колесо мыши)
2. Н…
🔫 Бесплатный курс по моделированию игрового пистолета (25 уроков)
Хочешь прокачать hard surface и собрать полноценный asset для портфолио? Вот хороший плейлист:
🧩 Что внутри:
— Моделирование в Blender
— Текстурирование в Substance Painter
— Запекание и рендер в Marmoset Toolbag
Подойдёт для начинающих и тех, кто хочет системно пройти весь пайплайн.
📺 Смотреть: https://www.youtube.com/playlist?list=PL1UruklaJy9hkn…
Привет, народ! 👋
Хочу поделиться радостной новостью - я сделал свой первый аддон для Blender!
Называется Smart Apply Scale: Rig & Animation Fixer.
Думаю, многие аниматоры знают, какая это боль - нажимать Apply Scale на арматуре: риг ломается, анимация взрывается. Мой аддон решает эту проблему автоматически, исправляя кривые анимации под новый масштаб. Мастхэв для тех, кто экспортирует анимации в Unity или Unreal En…
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PSX Retro Tools для Blender
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Зачем нужен этот аддон?
Основные возможности:
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Если Ваш вид деятельности тесно связан с инженерией и Вам интересно развиваться в этом направлении, то рекомендуем обратить внимание на сообщество CADhub - место соприкосновения трёх ключевых направлений: дизайн - конструирование - производство. Активные участники чата помогут Вам понять все тонкости разработки конечных изделий от А до Я. А полезные материалы группы в виде базы ГОСТов, учебников, статей, ссылок на по…
💰 True-Sky v2.2.4
Включает дневное и ночное небо, предустановки неба, полное управление небом, cолнце по клику, использование солнечной системы, облака, элементы управления облаками и управление скорость для создания таймлапсов.
❗️ Скачать l #blender #addon📱
👁 Blender — смешиваем идеи и вдохновение в одном канале!
10 простых способов ускорить рендеринг в Blender by Blender Guru
0:00 – Вступление;
0:19 – Instancing;
1:05 – Frustum Culling;
1:55 – Light Clamping;
2:23 – Simplify Window Glass;
3:01 – Persistent Data;
3:42 – Noise Threshold;
4:39 – Use Smaller Textures;
6:07 – Fast GI Approximation;
6:53 – Switch to GPU;
7:44 – Simplify Geometry.
Blender 👀
🔥15❤8👍3👏2🥰1🥱1
Showing the 12 most recent of 19 posts we hold for @blender_info. 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 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.
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.
Handles this channel named that no longer answer
Dead references
1
handles named in this channel’s posts, vacant today
Evidenced gone
0
we ourselves saw one of these resolve, at some point
Never seen alive
1
vacant every time we have ever looked
@blender_info named 1 handle that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all. A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
Never seen alive
References a handle that is not a live channel — we have no record it ever was one.
@oldisma named in 3 posts, 4 November 2026 – 5 November 2026
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 5 November 2026 — this
entry's latest reading, not the date you are reading this.
“Blender” (@blender_info), 16,288 subscribers as measured 5 November 2026. Telegram Register, tgregister.com/channel/blender_info.
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.