5 measurements spanning 10 days, net -8. 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 1,826–1,836 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
16 Aug 2026, 17:53
1,827
-7
13 Aug 2026, 09:24
1,834
-1
10 Aug 2026, 13:12
1,835
+2
7 Aug 2026, 06:17
1,833
-2
6 Aug 2026, 22:17
1,835
first reading
Engagement
8 posts held, back to 9 July 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 2 pagesof Telegram’s post history, 20 posts per page.
ERR · 30 days
29.4%
avg views ÷ 1,827 subscribers
Avg views / post
537
4 posts measured
Reaction rate
6.24%
reactions ÷ views · ER floor
Posts in window
4
of 8 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 6 August 2026
Posts held
8 (9 July 2026 – 6 August 2026)
Views total
2,149
Reactions total
134
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
7 Aug 2026, 17:27 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
2m 49s
Average length
56s
Measured directly from 3 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
291 reactions across 8 posts, in 23 distinct kinds. The most used accounts for 31.3% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
👍
91
31.3%
🔥
88
30.2%
❤
53
18.2%
😁
18
6.19%
✍
7
2.41%
⚡
6
2.06%
🤩
5
1.72%
🤓
3
1.03%
🦄
3
1.03%
👻
2
0.687%
💯
2
0.687%
🕊
2
0.687%
❤🔥
1
0.344%
🆒
1
0.344%
🏆
1
0.344%
👌
1
0.344%
🖕
1
0.344%
🗿
1
0.344%
😈
1
0.344%
🙏
1
0.344%
3 further kinds
3
1.03%
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 8 of the 8 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 291reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 8 most recent posts we hold, published 9 July 2026 to 6 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.
Акустика и метафизика
Заупокойный храм царицы Хатшепсут в Фивах (Египет) в древние времена был местом проведения крупных религиозных церемоний. В ходе торжеств по случаю Прекрасного праздника долины сюда доставляли священную ладью с изображением бога Амона. Процессию сопровождали жрецы, музыканты и танцоры.
Интересно, что по мере движения к святилищу менялись условия распространения звука, что задавало естественную…
Прослушка в Доме Наркомфина?
Судьба одного из главных памятников советского конструктивизма долгое время оставалась незавидной, но после тщательной и вдумчивой реставрации дом все же удалось сохранить в первозданном виде.
Об истории дома и о некоторых теориях заговора – наше новое видео!
🔗 Мы в MAX
Акустика футбольных стадионов
Ровно неделю назад закончился ЧМ-2026, и мы решили вспомнить наш «футбольный опыт». После ЧМ-2018 года мы провели масштабное исследование акустики российских стадионов, построенных к турниру.
Самый интересный вывод оказался в том, что идеальная акустика для футбола и для концерта — это практически противоположные вещи.
Во время матча высокая гулкость арены усиливает атмосферу трибун, …
Вьуууу-уп!
Синусный свип — это тестовый сигнал, в котором частота плавно изменяется в заданном диапазоне, обычно от 20 Гц до 20 кГц.
Он широко используется при акустических измерениях для записи импульсного отклика помещения, определения времени реверберации и других параметров, позволяя с высокой точностью оценить акустические свойства пространства.
В процессе измерений этот звук издает особый динамик — додакаэдр…
Самое интересное
Друзья, мы хотели бы поближе познакомиться со всеми, кто недавно подписался на канал. Здесь мы рассказываем о звуке, акустике, архитектуре и о нашей работе.
Собрали для вас небольшую подборку самых интересных постов за последние полгода.
1. Почему поет ветер?
2. Измерения в Большом театре
3. Отцы и дети в Большом театре – серия 1, серия 2
4. Акустика ледового дворца
5. Орган Большого зала Моск…
Акустика камерного зала
Продолжаем наше путешествие по лучшим залам России. И сегодня – Малый зал Санкт-Петербургской Филармонии.
Расскажем про его историю, архитектуру и, конечно, акустику. Смотрите!
🔗 Мы в MAX
Памяти С. Курехина
Ровно 30 лет назад не стало С. Курехина – авангардиста и авантюриста, создателя группы «Поп-механика», музыканта, идеолога петербургского андеграундного рока.
Интерес к его наследию с каждым годом только растет и подтверждение тому – реконструированный ЦСИ им. Курехина, в котором мы отвечали за проектирование акустики. Подробнее об этом – здесь.
В день памяти мы хотим разыграть три экземпляра кн…
👍22🔥12❤4🕊2
Showing the 8 most recent of 8 posts we hold for @acoustic_pistra. 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.
Citation-graph rank
Citation-graph rank — 89,567 of 1,550,220entries 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
Named by 1 registered channel — 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 16 August 2026 — this
entry's latest reading, not the date you are reading this.
“ПИСТРА” (@acoustic_pistra), 1,827 subscribers as measured 16 August 2026. Telegram Register, tgregister.com/channel/acoustic_pistra.
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.
