5 measurements spanning 23 days, net -5. 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 431–439 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
30 Aug 2026, 11:48
432
-4
24 Aug 2026, 09:32
436
-2
16 Aug 2026, 02:17
438
+1
8 Aug 2026, 05:16
437
no change
7 Aug 2026, 14:17
437
first reading
Engagement
17 posts held, back to 20 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 1 page of Telegram’s post history, 20 posts per page.
ERR · 30 days
10.2%
avg views ÷ 432 subscribers
Avg views / post
44.0
1 post measured
Reaction rate
4.55%
reactions ÷ views · ER floor
Posts in window
1
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
Window
Rolling 30 days · latest post in window 2 August 2026
Posts held
17 (20 May 2026 – 2 August 2026)
Views total
44
Reactions total
2
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
8 Aug 2026, 05:16 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.
Reaction mix
44 reactions across 9 posts, in 6 distinct kinds. The most used accounts for 72.7% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
custom 5348058461974309805
32
72.7%
custom 5204032020807694944
4
9.09%
custom 5219825942699998330
3
6.82%
custom 5350570588345741232
3
6.82%
custom 5219712366584820234
1
2.27%
custom 5332562035286770259
1
2.27%
Custom emoji. Every row above is a 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 are Telegram’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 9 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 44 reactions 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 20 May 2026 to 2 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.
He'll Romanov you... 🧐
Я смотрю сериал "Наследники" , и здесь очень интересная лексика 😀
например, Кендал Рой говорит :
He'll Romanov you and take you to the cellar and that's that.
мы все с вами знаем, кто такие Романовы и царская семья , а Кендал сделал глагол из этой фамилии, подразумевая расстрелять ...
в общем, вывод такой, смотреть "Succesion"- это интеллектуальное и языковое удовольствие 💗
много истори…
почему мы называем корову "cow", а когда она приготовлена, называем её "beef"?
🐮 это связано с нормандским завоеванием в 1066 году
🧠после завоевания английские крестьяне говорили на английском, а их франкоязычные господа использовали французский язык
поэтому простые слова остались на английском, а "элитные" продукты питания заимствовали из французского
🍽️ так, "cow" и "chicken" идут из английского, а "beef" (го…
сходила с утра на тренировку, была одна!!! Какой же это кайф 😍
Попросила тренера включить упражнения ещё на мфр ролле, раскатала мышцы , считай как самомассаж 😍
девочки, всем нам так жить, чтобы у нас были персональные тренировки и тренеры, это просто блаженство🤞 🥰
И технику поправят и все , что надо 😎
желание девушки: накачать ягодицы
желание женщины: убрать перекос таза , раскрыть грудные мышцы и расслабить …
To wet the beak?
на прошлой неделе мы с вами размышляли о том, почему англичане и немцы перед важными событиями желают "сломать ногу или шею" (break a leg)
на этой неделе хочется поделиться новым выражением, 🪻to wet the beak
я пересматриваю самый лучший сериал всех времён "Наследники" или Succession , и мне нравится как тонко американцы говорят о деньгах 💵
And would there be room to wet the beak of an old pal?
…
но конечно у этого феномена есть объяснение ⏩️
выражение пришло из мира театра, где артисты из-за суеверий избегают прямо желать друг другу «удачи».
считается, что если пожелать хорошего, обязательно произойдет что-то плохое. Дословный перевод фразы — «сломай ногу» ( break a leg)
а немцы и вовсе желают сломать не только ногу, но и шею, Hals und Beinbruch 😄
знали об этом?
англичане жестокие?
вчера с ученицей разбирали идиому : kill two birds with one stone - убить двух зайцев одним выстрелом ( по русски)
и мы сошлись на мнении, что убивать птиц камнями как-то жестоко...
вспомнилась идиома: break a leg (сломай ногу дословно) по-русски это ни пуха
кто бы мог подумать... 🤔
🪻у меня как у учителя баннерная слепота на это, ученики подсвечивают такие моменты, это круто 💖
а вы замечали …
магия изучения английского ✨
как только изучаешь новое слово ( в посте выше) , оно сразу попадается тебе везде 🔍
in shambles - в полнейшем беспорядке/хаосе
custom 53480584619743098052
Showing the 12 most recent of 17 posts we hold for @anzhela_deutsch. 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.
Polls
The 2 polls we hold for this entry, as Telegram rendered them when we read the post. A poll’s figures keep moving after that, so each one is dated.
давайте повторим лексику из Эйфории на прошлой неделе 👺
Their marriage is in shambles ❓
на грани успеха6%
на высоте6%
в полном хаосе88%
Shares as published. No per-option vote count is published by Telegram, so none is shown.
Percentages only — there are no per-option vote counts here, because Telegram publishes none. The public post preview gives each option’s share and a single voter total, and nothing else. Multiplying one by the other would produce a per-option tally that looks measured and is not: the shares are rounded to whole numbers before we ever see them. We print what was published and leave the column that does not exist empty.
The shares need not add up to 100. Rounding alone puts many polls at 99 or 101. A poll that allows more than one answer per voter runs well past 100 by design, and several here do. The bars are drawn against a fixed 100% track at each option’s own percentage rather than normalised to the total, so a poll that exceeds it shows that it does instead of being quietly rescaled.
Read from the 17 most recent posts we hold, published 20 May 2026 to 2 August 2026. Telegram labels each poll by kind — an anonymous poll, a quiz, a closed set of final results — and that label is reproduced rather than paraphrased.
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.
“твой тичер диджей 🎧” (@anzhela_deutsch), 432 subscribers as measured 30 August 2026. Telegram Register, tgregister.com/channel/anzhela_deutsch.
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.
