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Channel

herasymax – українська озвучка 🎙

@herasymax_vo

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

4,815subscribers

+16 since we began measuring on 21 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1002218648494
TypeChannel
Username@herasymax_vo
CreatedBetween 1 June 2024 and 30 September 2024— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded21 August 2026
Last confirmed live25 August 2026
Measurements held3
Confirmed unchanged1 time, most recently 25 August 2026
On Telegramt.me/herasymax_vo

Growth

4,7994,8154,80721 August 2026 — 4,799 subscribers22 August 2026 — 4,805 subscribers25 August 2026 — 4,815 subscribers21 August 202625 August 2026
3 measurements spanning 4 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 4,797–4,817 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
25 Aug 2026, 22:184,815+10
22 Aug 2026, 23:544,805+6
21 Aug 2026, 17:154,799first reading

Engagement

17 posts held, back to 27 March 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 pageof Telegram’s post history, 20 posts per page.

ERR · 30 days
62.0%
avg views ÷ 4,815 subscribers
Avg views / post
2,990
4 posts measured
Reaction rate
2.29%
reactions ÷ views · ER floor
Posts in window
4
of 17 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
WindowRolling 30 days · latest post in window 21 August 2026
Posts held17 (27 March 202621 August 2026)
Views total11,950
Reactions total274
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken21 Aug 2026, 17:15 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
2h 11m
Average length
26m 24s

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

1,265 reactions across 17 posts, in 16 distinct kinds. The most used accounts for 35.7% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
45235.7%
🔥36929.2%
👍34427.2%
😁322.53%
💯262.06%
❤‍🔥110.87%
👏80.632%
👀50.395%
🥴40.316%
🤝30.237%
🤮30.237%
💊20.158%
😎20.158%
😴20.158%
🆒10.079%
🫡10.079%

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 17 of the 17 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 1,265reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 17 most recent posts we hold, published 27 March 2026 to 21 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 17 we hold a reading for · 6%
Most on one post
1
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @herasymax_vo. 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 17 most recent posts we hold for this entry, published 27 March 2026 to 21 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.

Recent posts

21 Aug 2026, 14:03 UTC≈3,760 views23 reactionsread 21 August 2026

♥️ Інтерв'ю Рікі Джервейса на радіо Heart https://www.youtube.com/watch?v=Y5Ob4Nf4BIM Про образливі жарти, культуру скасування, 25 річницю серіалу “Офіс” і новий мультфільм “Вуличні коти” 🎙️ Переклав та озвучив @herasymax #РікіДжервейс@herasymax_vo

13👍10

12 Aug 2026, 16:33 UTC≈2,440 views98 reactionsread 21 August 2026
Video

🎙️ Білл Бьорр на подкастах Конана О'Браєна, Тома Сегури та Шакіла О'Ніла #БіллБьорр@herasymax_vo

🔥80👍134👏1

7 Aug 2026, 14:18 UTC≈3,040 views70 reactionsread 21 August 2026

Білл Бьорр “Відпусти це” (2010) https://youtu.be/CBlarYVOWeY Спешл про стосунки з дівчиною, батьками, ненависть до корпоративних мереж, проблеми з гнівом, свою першу собаку та літніх чоловіків 🎙️ Переклав та озвучив @herasymax 📼 Даруйте за нестабільну якість, але збирав з того, що було: в 720 наявна лише 40-хвилинна ТБ-версія Comedy Central, решту знайшов тільки в 480 🤷🏻‍♂️ Пробував апскейлери, але з ними тільки г

🔥4812👍9😁1

7 Aug 2026, 07:31 UTC≈2,710 views83 reactions1 Starread 21 August 2026
Video

Луї Сі Кей у Долбі (2023) Матеріал спешлу на ~90% збігається з концертом “Back to the Garden” того ж року, і порушує теми моралі, релігії, абортів, правосуддя, улюблених батьків та багато іншого 🎙 Переклав та озвучив herasymax 🤝 Спонсор релізу Олександр Т. 🧲 Торент 📺 UAKino #ЛуїСіКей@herasymax_vo

🔥6213👍6🤮2

24 Jul 2026, 13:22 UTC≈4,250 views64 reactionsread 21 August 2026
Video

Уривки зі спешлу Сема Морріла “Ти змінився” (2024)

30👍18🔥9😁6❤‍🔥1

17 Jul 2026, 09:03 UTC≈6,830 views192 reactionsread 21 August 2026
Video

Луї Сі Кей “Безглуздя” (2026) Після 3-річної перерви у стендапі, видання драматичного роману, у віці 58 років Луї повертається на сцену із рефлексією щодо стосунків із батьком, роздумами про старіння та купою різного “безглуздя” у своєму, ймовірно, одному з найбільш неоднозначних спешлів 🧢 Ця озвучка стала можливою за підтримки Дмитра Тютюна, і користуючись нагодою, запрошуємо вас на концерти його поточного туру “Ф

👍9160🔥35👏5🤮1

10 Jul 2026, 14:22 UTC≈6,330 views81 reactionsread 21 August 2026

🇺🇳 Система безпеки ООН https://youtu.be/r6pyryjXips

🔥38💯26😁98

18 Jun 2026, 14:00 UTC≈6,530 views100 reactionsread 21 August 2026
Video

Ентоні Джеселнік вважає Дага Стенхоупа найвидатнішим коміком. Уривок з подкасту “We might be drunk” із Марком Нормандом і Семом Моррілом #ЕнтоніДжеселнік@herasymax_vo

60👍28❤‍🔥10😁2

12 Jun 2026, 14:15 UTC≈4,700 views65 reactionsread 21 August 2026

🇱🇰 Відура Бандара Раджапакса “Джем з дерев'яного яблука” (2025) https://www.youtube.com/watch?v=pt5bN_5hZuA Затишний камерний концерт про культуру Шрі-Ланки, імміграцію, роботу в IT, складні стосунки з батьками та пошуки себе Оскільки одного разу я був звукотехніком на одному з концертів Відури, було не складно домовитись про переклад цього спешлу. Цікавий чувак, дуже подобається його література та хід думок, тому

👍4410👀5🔥5😁1

5 Jun 2026, 14:10 UTC≈4,460 views70 reactionsread 21 August 2026

👨‍💻 Зазвичай про цікаве з всесвіту західного стендапу розповідаю у розмовних сторіс в інстаграмі. Але тут така об'ємна тема, що заради експерименту вирішив зробити трохи більш змістовне відео https://youtu.be/nd5l2j1XJcQ

40👍24🔥5🫡1

29 May 2026, 14:10 UTC≈5,360 views77 reactionsread 21 August 2026

🇬🇧 Джиммі Карр “Сміючись і жартуючи” (2013) https://www.youtube.com/watch?v=9YenwY8NbRY Класичний концерт Джиммі Карра, насичений брудними, контроверсійними і нарочито образливими жартами. Багато роботи із залом, гумору про секс і візуальних жартів з ілюстраціями 🎙️ Переклав та озвучив @herasymax 👇 Подякувати за озвучку https://send.monobank.ua/jar/75dfMAAaTs

34🔥31👍6🥴4👏2

8 May 2026, 14:27 UTC≈7,300 views61 reactionsread 21 August 2026

🎤 Виступ Ентоні Джеселніка на шоу Конана О'Браєна (2008) https://youtu.be/sjSr-tTHptA Матеріал з дебютного аудіо-спешлу “Шекспір” про дитинство, домашнє насильство та стосунки Переклав та озвучив @herasymax #ЕнтоніДжеселнік@herasymax_vo

36👍16😁5🔥2😴2

Showing the 12 most recent of 17 posts we hold for @herasymax_vo. 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 — 291,851 of 1,620,105entries 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

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

“herasymax – українська озвучка 🎙” (@herasymax_vo), 4,815 subscribers as measured 25 August 2026. Telegram Register, tgregister.com/channel/herasymax_vo.

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.