3 measurements spanning 12 days, net +4. 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 305–311 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
15 Oct 2026, 23:16
310
+1
8 Oct 2026, 03:37
309
+3
4 Oct 2026, 01:22
306
first reading
Engagement
18 posts held, back to 12 April 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 1 page of Telegram’s post history, 20 posts per page.
ERR · 30 days
490.3%
avg views ÷ 310 subscribers
Avg views / post
1,520
1 post measured
Reaction rate
2.17%
reactions ÷ views · ER floor
Posts in window
1
of 18 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 30 September 2026
Posts held
18 (12 April 2026 – 30 September 2026)
Views total
1,520
Reactions total
33
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
4 Oct 2026, 01:22 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.
Reaction mix
336 reactions across 16 posts, in 11 distinct kinds. The most used accounts for 52.4% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
176
52.4%
🔥
61
18.2%
❤🔥
22
6.55%
🍓
20
5.95%
👍
19
5.65%
💘
15
4.46%
🥰
12
3.57%
💋
4
1.19%
😭
4
1.19%
💯
2
0.595%
🦄
1
0.298%
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 16 of the 18 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 336 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 18 most recent posts we hold, published 12 April 2026 to 30 September 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
13
across the posts below
Posts paid on
2
of 16 we hold a reading for · 13%
Most on one post
11
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @DokuChaynik. 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 18 most recent posts we hold for this entry, published 12 April 2026 to 30 September 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.
MOV-1E
Ещё одна моделька в копилку Гунвёрс интересных концептов персонажей, которые мне просто забавно было придумать и сделать. "Муви" сделана под эстетику старого кино и анимации: со всеми этими киноплёнками, бобинами и громадными камерами и проекторами.
Глаза и перчатки наверное самое ярко-выраженное клише для персонажа "прошлого века". Её лицо транслируется поектором у неё на голове, Я вдохнавлялся старыми Амери…
Привет всем! Пропадать летом это моя маленькая традиция. Но вот буду постепенно возвращаться в тонус.
"Как там поживает ваш любимый мультик?" — Я пишу СЦЕНАРИЙ. люблю и ненавижу этот этап, так как это скелет проекта но мне нечего вам показывать. Просто пишу буковки.
А ещё я составил список ролей которые нужны проекту главные кого я сейчас ищу это концепт художники и 3 модельеры. Уже есть парочка людей которых я ви…
Ребята я вернулся домой. Спасибо всем огромное кто пришёл на слёт, подписался и будет следить за моим проектом! Очень крутое мероприятие которое является для меня большим праздником. я буду скучать по своему столику. На данный момент попробую соьрать команду чтобы не делать проект в одиночку
Знакомьтесь АНИМА-ГНОМЫ!
Анонсирую вам свой мультсериал про гномов которые учатся анимировать, в мире где анимация — это буквально магия! По сути это фентези но вместо волшебных палочек и артефактов волшебники колдуют карандашами и другими художественными инструментами. Ну и естественно эта история про аниматоров, про сложный творческий путь, про взросление над самим собой и про проблемы с которыми сталкиваелся кажды…
☁️ Новые герои анимации — в нашей инди-зоне
Мы отобрали 10 проектов, которые будут представлены в нашей инди-зоне — пространстве, где можно познакомиться с независимыми авторами, молодыми студиями и их новыми работами.
Инди-зона — это возможность увидеть, чем сегодня живет независимая анимация, какие истории рассказывают молодые команды и в каком направлении развивается индустрия. Здесь рождаются смелые идеи, необы…
— "Я создана любить людей. Я их правда люблю. Зачем вы причиняете им боль... Мне правда больно на это смотреть... прекратите."
Расскажу немного интерестностей из моего мультсериала:
Пока Кэра и Пейнтер без зазрений совести лупят своих обидчиков, а Рора из-за недавней активации ещё не адаптировалась к новому миру. Она робот-игрушка, питомец для счасливой семьи созданная любить и быть любимой (как и все андроиды "архи…
Новая рора?
Ладно ребят на основу я ещё не писал. Но хочу сообщить что я переписывал сценарий мультика "Проект рора". Переписался он довольно успешно как мне кажется. Я отбросил все дурацкие идеи и прокачал сильные стороны.
Из нововведений робо-расисты наныли теперь есть главная героиня из кожи и плоти. Её зовут Кэра она обожает мехи. Дизайн персонажа появился из загнувшегося на старте комикса, но как мне показалась…
Ребята! 18-19 июля в москве состоится слёт аниматоров!!!
И с первого июня начинается конкурс Инди проектов! И в честь этого хочу презентовать вам своё ещё одно детище!
Анима-Гномы
Мульт в котором анимация это буквально магия! и два гнома (лайн и штрих) намереваются стать легендами анимационной индустрии.
Я готовлю этот проект на конкурс, если я выйграю то в дальнейшем мне будет проще воплощать свои идеи. По этому м…
Showing the 12 most recent of 18 posts we hold for @DokuChaynik. 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.
Forward network
Republishes
Channels on the register whose posts this channel has forwarded.
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.
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 October 2026 — this
entry's latest reading, not the date you are reading this.
“Докучайник” (@DokuChaynik), 310 subscribers as measured 15 October 2026. Telegram Register, tgregister.com/channel/DokuChaynik.
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.
