3 measurements spanning 8 days, net +1. 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 137–138 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
15 Aug 2026, 06:45
138
+1
8 Aug 2026, 23:16
137
no change
7 Aug 2026, 10:48
137
first reading
Engagement
20 posts held, back to 8 June 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 pageof Telegram’s post history, 20 posts per page.
ERR · 30 days
264.4%
avg views ÷ 138 subscribers
Avg views / post
365
6 posts measured
Reaction rate
4.29%
reactions ÷ views · ER floor
Posts in window
6
of 20 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 7 August 2026
Posts held
20 (8 June 2026 – 7 August 2026)
Views total
2,189
Reactions total
94
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
8 Aug 2026, 23:16 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
9m 47s
Average length
53s
Measured directly from 11 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
374 reactions across 20 posts, in 21 distinct kinds. The most used accounts for 42.2% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
158
42.2%
🔥
91
24.3%
custom 5224427772524376976
20
5.35%
👍
19
5.08%
😁
15
4.01%
❤🔥
11
2.94%
👏
10
2.67%
🤣
8
2.14%
custom 5197155404504642051
6
1.60%
🥰
6
1.60%
custom 5264733609645847811
5
1.34%
🎉
5
1.34%
💔
5
1.34%
💯
5
1.34%
custom 5192953324466353290
3
0.802%
custom 5296747484121413521
2
0.535%
⚡
1
0.267%
👀
1
0.267%
💘
1
0.267%
🕊
1
0.267%
1 further kind
1
0.267%
Custom emoji. 5 of the rows above are Telegram custom emoji, which the public preview renders as an element carrying only a numeric id — no character, and no image we can reach. The id is printed as-is rather than substituted with a look-alike glyph, because a stand-in would be our invention showing where a measurement should be. The counts beside them areTelegram’s.
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 20 of the 20 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 374reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 20 most recent posts we hold, published 8 June 2026 to 7 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
2
across the posts below
Posts paid on
2
of 20 we hold a reading for · 10%
Most on one post
1
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @TheDeathMusical. 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 20 most recent posts we hold for this entry, published 8 June 2026 to 7 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.
Часто место событий в художественном произведении оказывается не только эстетичной декорацией для сюжета, не только средством нарратива (environmental storytelling ю ноу), но и будто становится ещё одним героем повествования. Особенно, когда такое место само по себе наполнено историей.
Так, роль королевского дворца в нашем вымышленном плоскоземельном королевстве сыграл потрясающий Дом учёных РАН им. Горького
Неорен…
Добрый вечер, друзья! 🐦⬛️
Внезапно даже для нас самих - тестируем новый формат и приглашаем вас пообщаться! Поболтаем о проекте, мюзиклах и творчестве вообще. А также попробуем поработать над аранжировкой одного из треков в прямом эфире
https://www.twitch.tv/mrgrt_music
- При написании текстов для Изабель самым главным источником вдохновения для меня был как раз оригинальный персонаж Терри Пратчетта. Её юмор, диалоги и мировоззрение меня веселили ещё при прочтении книги, и я постаралась перенести дух героини и в наш мюзикл.
Также огромный вклад в получившиеся строки внесли и мои замечательные коллеги, Маргарита и Екатерина. Я помню, как мы обсуждали сцены, выстраивали их по частям,…
Нет, Ваше Высочество, вы не понимаете... Кризис-менеджмент должен разрешать кризисы, а не создавать новые 😵💫
#АринаТкалич #Кели
#МаксимКазаков #Огниус
#учениксмерти #мюзикл #рмт
Поздравляем сегодня с Днем рождения Максима Казакова! 🥳❤️🔥
Максим - невероятно талантливый, харизматичный и трудолюбивый человек, один из самых ярких представителей молодого поколения рмт. Из тех, про кого точно можно сказать - прирожденный артист.
Мы следим за его карьерой с первых шагов, и счастливы видеть, каких потрясающих успехов он уже добился. А сколько ещё ждет впереди!
Макс, желаем тебе как можно больше …
"...ее вид вызвал у Мора шок, который раскалил докрасна заднюю часть его мозга...
- Будьте осторожны! - пронзительно закричал он. - Вам угрожает огромная опасность!
В то же мгновение воздух загустел, превратившись в густую патоку...
Он потянулся к ней - только чтобы увидеть, как его рука прошла прямо сквозь её ладонь"
(с) Терри Пратчетт
Ph: @bjjjork
Muah: @foxlleo @nadin_beauty
#ФедорСоколов #Мор
#АринаТкалич #…
Продолжаем разговор об Изабель вместе с Ольгой Непомнящей, автором текстов проекта
Pt.1 здесь
❤️🔥❤️🔥❤️🔥
...Не обошла героиню стороной и любовная линия. Когда я дала одному из наших приближённых тестовых слушателей оценить её дуэт с другим персонажем, именуемый "Ссора" (никогда не догадаетесь, о чём он!), то этот человек сразу же у меня спросил: "они останутся вместе?" 👀
Не буду отвечать заранее, пусть каждый п…
Showing the 12 most recent of 20 posts we hold for @TheDeathMusical. 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 — 608,598 of 1,478,351entries 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.
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 August 2026 — this
entry's latest reading, not the date you are reading this.
“Мюзикл "Ученик Смерти"” (@TheDeathMusical), 138 subscribers as measured 15 August 2026. Telegram Register, tgregister.com/channel/TheDeathMusical.
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.
