Channel
@frm46
On this record: Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Citations · Handles named that no longer answer · Cite this entry
9,498subscribers
-4 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 3,162–10,000.
| Telegram ID | -1001635399657 |
|---|---|
| Type | Channel |
| Username | @frm46 |
| Description | Artist / Graphic Designer / Art Director 📚 Комиксы, мерч и все ссылки здесь — https://frm46.art реестр: vk.cc/cHm9lg |
| Created | 11 March 2022 — measured — cross-checked against a third-party dataset (ext.tg_channel) |
| First recorded | 6 August 2026 |
| Last confirmed live | 12 August 2026 |
| Measurements held | 4 |
| Confirmed unchanged | 1 time, most recently 12 August 2026 |
| On Telegram | t.me/frm46 |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 12 Aug 2026, 06:33 | 9,498 | -8 |
| 9 Aug 2026, 12:31 | 9,506 | +4 |
| 6 Aug 2026, 10:17 | 9,502 | no change |
| 6 Aug 2026, 09:41 | 9,502 | first reading |
10 posts held, back to 21 January 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 14 pagesof Telegram’s post history, 20 posts per page.
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.
| Window | Rolling 30 days · latest post in window 12 August 2026 |
|---|---|
| Posts held | 10 (21 January 2026 – 12 August 2026) |
| Views total | 9,030 |
| Reactions total | 1,180 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 12 Aug 2026, 15:06 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.
Lifetime counters from Telegram’s own channel header, read 12 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.
Measured directly from 2 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.
3,834 reactions across 10 posts, in 7 distinct kinds. The most used accounts for 54.8% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 2,100 | 54.8% | |
| 🔥 | 948 | 24.7% | |
| 👍 | 719 | 18.8% | |
| 😁 | 52 | 1.36% | |
| 👎 | 8 | 0.209% | |
| 🤔 | 5 | 0.13% | |
| 😢 | 2 | 0.052% |
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 10 of the 10 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 3,834reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 10 most recent posts we hold, published 21 January 2026 to 12 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.
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @frm46. 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 10 most recent posts we hold for this entry, published 21 January 2026 to 12 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.
Опять залетел на арт-среду в nerds, но теперь просто как участник. Не мог пройти мимо такого задания, идея сама напрашивалась 🤔 Хочу почаще находить время на скетчи в духе paint, без сложного рендера и фильтров. Это прям спасает от выгорания, особенно когда неделями мусолишь 1 арт. Но хейтеры всё равно скажут ИИ 😱 кстати на днях запощу новый паучий арт, очень угарный
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«Люди Арктики» Zubkov x Другое издательство х Дзен Представляю наш большой коллаб! Серия из 5 комиксов, каждый в своём уникальном стиле. Это 5 самостоятельных историй, вдохновленных освоением российского Севера. Здесь фантастика переплетается с реальностью, а главными героями становятся не сверхлюди, а профессионалы, доказывающие, что настоящий героизм начинается с ответственности за свое дело. Научные экспедиции,…
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Залетел на Кинопоиск в одном ряду с легендами. Приятно! 😊 Ну а я уже на следующей неделе наконец вернусь, покажу новые коллабы и комиксы
❤218🔥94👍79😁4🤔3
Заодно расскажу, куда опять пропал. Скоро вернусь с новыми артами и комиксами. Сейчас в работе несколько гигантских проектов (пока самые масштабные в моей карьере). Летом уже начнут выходить постепенно. Уже много месяцев в режиме хардкора, очень насыщенный период какой-то. Покупка квартиры, суета с ремонтом, внезапные траблы со здоровьем и операция, и всё это при тотальном рабочем загрузе. Но в целом всё супер, выв…
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Часто присылают этот видос, не могу не поделиться 🕷 Автор (kinogood2) сгенерил почти короткометражку про Северного Паука (в конце даже есть камео других моих персонажей). Знаю, что здесь многие не любят нейронки, но на мой взгляд, получилось здорово. Спасибо! (Ну и напомню, что огромная база фан-артов от подписчиков находится вот тут)
❤274🔥149👍76😁12👎4
Комикс «Общество летучих мышей» Евгения Зубкова и Егора Герасимова уже доступен к покупке на Wildberries! 👉 Приобрести по ссылке! Также на складе издательства осталось ещё несколько подарочных наборов: 👉 Приобрести по ссылке! Но самое главное — для фанатов серии и всех неравнодушных мы сделали бесплатный стикерпак с Тимуром и Александром: 👉 Добавить стикерпак!
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А вот и вариант от самого Евгения Зубкова!
❤359🔥116👍65😁6👎3
🎨🎨🎨 С днём арт-среды! Подводим итоги прошлой недели. Вот авторы самых крутых бабушек: @KrutPaul, @ghost_unicorn, @Sutako_Suzuki, @dnevnikpraktikanta, @evsdark, @qualitystudio, @humleb1, @cineri0, @alex_uki, @humleb1 Больше интересных работ ищите под этим постом! А тему новой арт-среды объявим вечером! #артсреда@nerds
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🎨 АРТ-СРЕДА с ЕВГЕНИЕМ ЗУБКОВЫМ! В гости на арт-среду к нам заскочил легендарный Евгений Зубков! И в качестве коллабы он нарисовал шаблон с темой этой недели: Кого могла бы кормить эта бабуля? *** Расскажу небольшую предысторию для контекста. «Бабушка и дроны» — один из моих первых вирусных артов, ему уже 10 лет! И за эти годы над бабулей как только не издевались. От обычных мемов и палёного мерча, до использован…
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𝟮 𝟬 𝟭 𝟲 Решил не упускать тренд и тоже вспомнить себя 10 лет назад. Искал своё направление и перепробовал почти всё, параллельно совмещая это с лютой загруженностью в универе (ААИ ЮФУ). Роспись стен, логотипы, портреты, каллиграфия/леттериг, принты для одежды, эскизы татуировок, весь список уже и не вспомню. Постепенно переходил в диджитал и уже рисовал свои первые арты для дипломного проекта по русским сказкам. К…
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Showing the 10 most recent of 10 posts we hold for @frm46. 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 — 14,383 of 1,183,361entries 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.
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.
Named by 6 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.
@frm46 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.
References a handle that is not a live channel — we have no record it ever was one.
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 12 August 2026 — this entry's latest reading, not the date you are reading this.
“Evgeny Zubkov” (@frm46), 9,498 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/frm46.
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.