21 measurements spanning 23 days, net +16. 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 11,154–11,174 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 21
Measured (UTC)
Subscribers
Change
30 Aug 2026, 02:58
11,172
+3
29 Aug 2026, 01:16
11,169
+5
28 Aug 2026, 02:04
11,164
-7
26 Aug 2026, 23:33
11,171
+3
26 Aug 2026, 00:11
11,168
+1
25 Aug 2026, 03:35
11,167
+2
23 Aug 2026, 20:24
11,165
+1
22 Aug 2026, 07:46
11,164
-1
20 Aug 2026, 21:23
11,165
-4
18 Aug 2026, 19:13
11,169
-1
17 Aug 2026, 20:57
11,170
+2
16 Aug 2026, 19:58
11,168
+4
13 Aug 2026, 23:55
11,164
-4
12 Aug 2026, 17:02
11,168
-3
11 Aug 2026, 16:36
11,171
+2
10 Aug 2026, 14:41
11,169
+5
9 Aug 2026, 17:41
11,164
+1
8 Aug 2026, 20:02
11,163
+4
7 Aug 2026, 20:17
11,159
+3
6 Aug 2026, 21:31
11,156
first reading
Engagement
26 posts held, back to 5 May 2026 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 40 pagesof Telegram’s post history, 20 posts per page.
ERR · 30 days
20.2%
avg views ÷ 11,172 subscribers
Avg views / post
2,250
6 posts measured
Reaction rate
0.94%
reactions ÷ views · ER floor
Posts in window
6
of 26 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 27 August 2026
Posts held
26 (5 May 2026 – 27 August 2026)
Views total
13,510
Reactions total
127
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
29 Aug 2026, 11:03 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
2s
Average length
2s
Measured directly from 1 video 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
563 reactions across 25 posts, in 23 distinct kinds. The most used accounts for 40.5% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
228
40.5%
👍
95
16.9%
❤🔥
70
12.4%
🔥
55
9.77%
🤣
37
6.57%
💯
24
4.26%
😁
10
1.78%
⚡
5
0.888%
✍
5
0.888%
🙈
5
0.888%
🫡
5
0.888%
🍌
4
0.71%
👀
4
0.71%
🙏
3
0.533%
🌚
2
0.355%
🎉
2
0.355%
👏
2
0.355%
😍
2
0.355%
😇
1
0.178%
😨
1
0.178%
3 further kinds
3
0.533%
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 26 of the 26 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 563reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 26 most recent posts we hold, published 5 May 2026 to 27 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
3
across the posts below
Posts paid on
3
of 26 we hold a reading for · 12%
Most on one post
1
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @disdoc. 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 26 most recent posts we hold for this entry, published 5 May 2026 to 27 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
7.69%
2 of 26 posts carry an ad marker
Regulatory tokens
2
posts carrying an erid · 1 distinct token
Median views · ads
4,220
over 2 measured posts
Median views · rest
4,550
over 24 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
erid
Posts
First seen
Last seen
2W5zFJ8cjGm
2
6 July 2026
21 July 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 26 most recent posts we hold, published 5 May 2026 to 27 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.
Шикарное эссе о том, как создавалась музыка во времена Супер Нинтендо. Композиторы находились в очень ограниченном пространстве, что приводило к невероятно креативным решениям, которые впоследствии породили целую музыкальную культуру.
В общем, обязательно к просмотру:
https://www.youtube.com/watch?v=jvIzIAgRWV0
Вебшоп. LiveOps. D2C.
Когда только начинаешь разбираться в теме, кажется, что вокруг сплошные незнакомые слова.
Но на самом деле всё сводится к простому вопросу: как сделать так, чтобы игра приносила больше денег, а игроки возвращались за покупками снова.
В @d2cgames уже собраны практические разборы: как запустить вебшоп, какие механики действительно работают и каких ошибок лучше избежать.
Не нужно разбираться во…
Level Artist / Unity
Ищем Level Artist для участия в разработке кооперативной игры на Unity.
Чем предстоит заниматься:
– Собирать и доводить игровые локации непосредственно в Unity;
– Работать с ландшафтом, растительностью и природным окружением;
– Настраивать свет, материалы и общий визуал сцен;
– Наполнять уровни объектами окружения и небольшими деталями;
– Следить за производительностью локаций и заниматься их …
Ищем UX/UI дизайнера для кооперативного экшн-выживача (аутсорс, проектная работа)
Задачи:
– Проработка UX (логика интерфейсов, user flow, удобство)
– Дизайн UI (меню, HUD, инвентарь, крафт, лобби)
Требования:
– Опыт в игровом UX/UI не менее года.
– Наличие портфолио с интерфейсами
– Умение работать в связке с разработкой
Условия:
– Проектная работа (не в штат)
– Удалёнка
– Оплата обсуждается (фикс / по задачам)…
Автор протестировал 22+ инди-игры и поделился выводами. Полезно!
- Первые 30 секунд решают всё — если игрок запутался сразу, он не будет разбираться дальше
- Большинство разработчиков переоценивают интуитивность своих интерфейсов
- Игроки читают намного меньше текста, чем вы думаете — важную информацию нужно показывать визуально
- Звуковая обратная связь критически важна — даже простые звуки кликов улучшают восприят…
Книга по левел-дизайну от Роберта Янга. Пока это не то, чтобы прям книга, но скорее сборник прикольных статей для начинающих дизайнеров.
https://book.leveldesignbook.com/introduction
Вебшоп — это не только способ снизить расходы на комиссии, но и возможность получить больше контроля над своей аудиторией.
Собственный канал продаж позволяет лучше понимать поведение игроков, запускать персональные акции, тестировать разные предложения и выстраивать коммуникацию без ограничений со стороны платформ.
В @d2cgames разбирают, как студии используют прямые продажи и какие преимущества получают после запус…
Доклад от чувака из студии thatgamecompany (создатели легендарной Journey) про ментальные карты в процессе проектировки игровых пространств.
https://youtu.be/Q1Tczf8vxCM
Прекрасный сайт, который по какой-то причине недостаточно популярен.
Тут вы можете посмотреть на устройство уровней многих легендарных игр. Есть как классика вроде Донки Конга и Метроида, так и относительно современные, вроде Супер Марио Одисси.
https://noclip.website/
❤32👍10🔥4🫡1
Showing the 12 most recent of 26 posts we hold for @disdoc. 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.
Stars beside a post are paid reactions — Telegram Stars, bought with money and spent on that post. They are a different unit from reactions and are never added to them, here or anywhere else on this page.
Citation-graph rank
Citation-graph rank — 316,208 of 1,626,884entries 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
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.
Appears in Telegram’s recommendations for other channels
The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.
Работа в геймдеве 🍖 @gamedevjob · 44,631 Telegram ranks this channel #3 of 95 here — alongside 94 others — read 28 August 2026
Game Development Jobs @devjobs · 43,172 Telegram ranks this channel #12 of 93 here — alongside 92 others — read 28 August 2026
This channel appears in 2 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
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 30 August 2026 — this
entry's latest reading, not the date you are reading this.
“Геймдизайн 🎲” (@disdoc), 11,172 subscribers as measured 30 August 2026. Telegram Register, tgregister.com/channel/disdoc.
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.