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Channel

3D Blender

@blender3dit

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

11,720subscribers

+149 since we began measuring on 7 August 2026

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

Register entry

Telegram ID-1002107077667
TypeChannel
Username@blender3dit
CreatedBetween 1 November 2023 and 31 May 2024— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live23 August 2026
Measurements held15
Confirmed unchanged1 time, most recently 23 August 2026
On Telegramt.me/blender3dit

Growth

11,57111,72011,645.57 August 2026 — 11,571 subscribers7 August 2026 — 11,571 subscribers9 August 2026 — 11,578 subscribers10 August 2026 — 11,581 subscribers11 August 2026 — 11,583 subscribers12 August 2026 — 11,589 subscribers13 August 2026 — 11,594 subscribers14 August 2026 — 11,601 subscribers16 August 2026 — 11,613 subscribers17 August 2026 — 11,624 subscribers18 August 2026 — 11,629 subscribers19 August 2026 — 11,650 subscribers20 August 2026 — 11,686 subscribers21 August 2026 — 11,707 subscribers23 August 2026 — 11,720 subscribers7 August 202623 August 2026
15 measurements spanning 16 days, net +149. 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 11,549–11,742 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
23 Aug 2026, 06:3711,720+13
21 Aug 2026, 18:3711,707+21
20 Aug 2026, 18:2311,686+36
19 Aug 2026, 16:1311,650+21
18 Aug 2026, 16:0411,629+5
17 Aug 2026, 13:2311,624+11
16 Aug 2026, 05:1611,613+12
14 Aug 2026, 12:4611,601+7
13 Aug 2026, 05:4711,594+5
12 Aug 2026, 06:5811,589+6
11 Aug 2026, 06:4611,583+2
10 Aug 2026, 07:5011,581+3
9 Aug 2026, 10:3511,578+7
7 Aug 2026, 16:3011,571no change
7 Aug 2026, 16:2811,571first reading

Engagement

55 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 32 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
8.35%
avg views ÷ 11,720 subscribers
Avg views / post
979
55 posts measured
Reaction rate
0.713%
reactions ÷ views · ER floor
Posts in window
55
of 55 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 51 of 55 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 22 August 2026
Posts held55 (5 August 202622 August 2026)
Views total53,826
Reactions total358
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken23 Aug 2026, 04:25 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
6h 51m
Average length
9m 35s

Measured directly from 43 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

358 reactions across 51 posts, in 18 distinct kinds. The most used accounts for 35.2% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🔥12635.2%
11331.6%
👍9125.4%
😱41.12%
🥰41.12%
30.838%
😁30.838%
❤‍🔥20.559%
👀20.559%
😘20.559%
🍓10.279%
👎10.279%
👏10.279%
😢10.279%
🤨10.279%
🤯10.279%
🥴10.279%
🦄10.279%

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 51 of the 55 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 358reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 55 most recent posts we hold, published 5 August 2026 to 22 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.

Telegram Stars

Stars received
1
across the posts below
Posts paid on
1
of 55 we hold a reading for · 2%
Most on one post
1
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @blender3dit. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.

Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.

This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.

Counted over the 55 most recent posts we hold for this entry, published 5 August 2026 to 22 August 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.

Advertising

Ad load
1.82%
1 of 55 posts carry an ad marker
Regulatory tokens
1
posts carrying an erid · 1 distinct token
Median views · ads
536
over 1 measured post
Median views · rest
1,000
over 54 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
2W5zFG7qZKo122 August 202622 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 55 most recent posts we hold, published 5 August 2026 to 22 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

22 Aug 2026, 14:25 UTC488 views2 reactionsread 23 August 2026
Video

Туториал по созданию автомобильной краски в Blender. #tutorial | ORig

🥴1😢1

22 Aug 2026, 13:13 UTC536 views2 reactionsread 23 August 2026
Advertisementerid 2W5zFG7qZKoVideo

erid: 2W5zFG7qZKo Освой 3D-моделирование за 80 уроков – с нуля до готового портфолио. Home Digital School разложили 3D-моделирование по полочкам и сделали обучение понятным даже для новичков.Подробнее можешь посмотреть тут: ССЫЛКА На курсе ты: ✅ Освоишь Blender, Marmoset и Substance Painter ✅ Пройдёшь весь пайплайн: от референса до финального рендера ✅ Создашь 3 готовых работы в портфолио Записывайся и попробуй

2

22 Aug 2026, 12:15 UTC573 views6 reactionsread 23 August 2026
Video

Blender tips #инструменты | ORig

6

21 Aug 2026, 16:49 UTC790 views2 reactionsread 23 August 2026
Video

Blender Hard Surface Bool Tool Tutorial Урок от Polygon Runway по созданию hard-surface sci-fi ящика в Blender 5.2. В процессе разбираются моделирование корпуса, использование Boolean-модификаторов и Bool Tool, а также создание деталей и футуристичного дизайна. Хороший небольшой урок для практики хард-сёрфейс моделинга и игровых пропсов. 🖼 Смотреть #tutorial

🔥2

21 Aug 2026, 14:25 UTC768 viewsread 23 August 2026
Video

How to Animate Spinning Propeller Blades in Blender В этом уроке автор покажет вам, как анимировать лопасть пропеллера. 🖼 Смотреть #tutorial #анимация

21 Aug 2026, 12:36 UTC784 views9 reactionsread 23 August 2026
Video

Создание окружения в Blender #1 — Процедурное дерево В этой части нашей серии по созданию реалистичного окружения в Blender мы переходим к одному из самых важных элементов сцены — процедурному дереву! Мы создадим его с нуля в Geometry Nodes, разберём построение ствола и веток, настроим процедурную генерацию, добавим реалистичную листву и улучшим её освещение с помощью кастомных нормалей. ​Видео прислал наш подписчи

4👍4🔥1

21 Aug 2026, 09:49 UTC797 views11 reactionsread 23 August 2026
Video

Любимый метод автора для создания детализированного рельефа в blender #tutorial | ORig

👍9🥰2

21 Aug 2026, 08:24 UTC783 views14 reactionsread 23 August 2026
Photo

Работа M320|Grenade Launcher от нашего подписичка Ernest Софтина: Plasticity | Blender | Substance 3D Painter | Photoshop | Zbrush | Marmoset Toolbag Буду благодарен за поддержку на арте! #вдохновение #подписчик

🔥93🍓1🦄1

20 Aug 2026, 15:03 UTC937 views9 reactionsread 23 August 2026
Video

Tree Легкий способ сделать мультяшное дерево #tutorial | ORig

6😁3

20 Aug 2026, 11:36 UTC954 views5 reactionsread 23 August 2026
Video

Лайфхак с небом: если небо выглядит пустовато - то накидываем туда облаков, а если не хватает вертикалей в композе - то рисуем борщевики #полезное | ORig

5

Showing the 12 most recent of 55 posts we hold for @blender3dit. 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 — 749,595 of 1,584,420entries 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

Republished by

Channels on the register that have forwarded this channel's posts into their own feed.

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 2 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.

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

“3D Blender” (@blender3dit), 11,720 subscribers as measured 23 August 2026. Telegram Register, tgregister.com/channel/blender3dit.

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.