Technology — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 9 October 2026 and assigned it the closest of 31 fixed categories, at 98% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and the other topics.
Growth
9 measurements spanning 75 days, net +22. 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 153–181 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
21 Oct 2026, 08:44
178
+2
14 Oct 2026, 06:30
176
+3
9 Oct 2026, 07:22
173
no change
6 Oct 2026, 22:57
173
+2
25 Sept 2026, 10:00
171
+11
13 Sept 2026, 16:01
160
-2
5 Sept 2026, 07:16
162
+4
14 Aug 2026, 19:19
158
+2
7 Aug 2026, 17:58
156
first reading
Engagement
19 posts held, back to 27 April 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
51.3%
avg views ÷ 178 subscribers
Avg views / post
91.3
3 posts measured
Reaction rate
6.57%
reactions ÷ views · ER floor
Posts in window
3
of 19 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 October 2026
Posts held
19 (27 April 2026 – 6 October 2026)
Views total
274
Reactions total
18
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
9 Oct 2026, 07:22 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
165 reactions across 19 posts, in 7 distinct kinds. The most used accounts for 60.6% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
🔥
100
60.6%
❤
34
20.6%
👍
17
10.3%
👏
10
6.06%
🤯
2
1.21%
✍
1
0.606%
💯
1
0.606%
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 19 of the 19 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 165 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 19 most recent posts we hold, published 27 April 2026 to 6 October 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
5
across the posts below
Posts paid on
1
of 19 we hold a reading for · 5%
Most on one post
5
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @dspstuff. 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 19 most recent posts we hold for this entry, published 27 April 2026 to 6 October 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.
JamesDSP: измерения эквалайзера
Ссылка на отчёт: РУС / УКР / ENG
Недавние измерения общесистемных эквалайзеров для Android показали, насколько плохая может быть точность у таких приложений. Сегодня проверим, каков результат покажет JamesDSP – одно из самых старых, продвинутых и популярных приложений подобного рода.
#Android@dspstuff
В JamesDSP появился параметрический эквалайзер!
Ссылка на статью: РУС / УКР / ENG
Наконец-то случилось то, чего ждали многие пользователи эквалайзера на Android. В самое продвинутое приложение для общесистемной эквализации, JamesDSP, был добавлен параметрический эквалайзер, в том числе поканальный!
#Android@dspstuff
Если пропустили, то это самый точный общесистемный эквалайзер для Android среди протестированных на данный момент. Для его работы не требуется предоставлять разрешения, он удобен в использовании и имеет поканальную эквализацию и автоматическую смену пресетов при подключении/отключении наушников/ЦАПа. И при этом он бесплатен.
А разработчик очень неточного, но платного эквалайзера Poweramp Equalizer отказывается призн…
В моём сквиге появились двухканальная эквализация и одновременный поиск нескольких моделей наушников!
Для того, чтобы найти сайты, содержащие замеры одновременно нескольких моделей наушников, перечислите названия этих наушников (полные или частичные) через запятую.
Теперь любой фильтр эквалайзера можно назначить как на оба канала, так и на один из них. Таким образом стало возможным скорректировать баланс каналов ва…
Equalizer314: измерения эквалайзера
Ссылка на отчёт: РУС / УКР / ENG
В марте 2026 года появилось новое приложение общесистемного эквалайзера для Android, Equalizer314. Разработчик заявляет, что основными приоритетами при его создании были минимизация задержки, которую привносит работа приложения, простота первичной настройки без лишних разрешений, которые должен предоставить пользователь, а также точность. Сегодня …
Poweramp Equalizer: измерения эквалайзера
Ссылка на отчёт: РУС / УКР / ENG
Poweramp Equalizer является одним из самых популярных приложений общесистемного эквалайзера для Android. Однако в июне 2026 года блогер Super* Review измерил множество эквалайзеров и признал это приложение худшим по точности. Сегодня проверим, так ли всё плохо.
#Android@dspstuff
Precise Volume: измерения эквалайзера
Ссылка на отчёт: РУС / УКР / ENG
С весны 2025 года и без того небольшой перечень приложений для Android, позволяющих использовать общесистемный параметрический эквалайзер, пополнился еще одним – Precise Volume. Сегодня проверим, насколько эквалайзер в этом приложении точен.
Другие посты об этом приложении: краткий обзор, опыт использования, как изменить пресет при подключении …
modernGraphTool: лучшая версия Squig.link
Ссылка на статью: РУС / УКР / ENG
Недавно у меня появилась база АЧХ измеренных мной наушников (сквиг). Хоть замеров там чрезвычайно мало, она интересна движком, который лежит в её основе. Поэтому мой сквиг отличается от почти всех, с которыми вы знакомы.
Базы данных измерений наушников работают на разных вариантах программного обеспечения. Сегодня посмотрим на лучший из них…
Letshuoer Soloist: обзор и измерения IEM
Ссылка на отчёт: РУС / УКР / ENG
Когда-то они были топом линейки и стоили 240$. Опираясь на измерения, посмотрим, актуальны ли Letshuoer Soloist в 2026 году.
#Обзоры@dspstuff
К этой статье я создал тест слышимости влияния фильтров ЦАП. С помощью него вы можете проверить на имитации двух наиболее сильно влияющих на звук фильтров, слышите ли вы это влияние. В том числе и вслепую.
Пишите результаты слепого теста в комментариях!
🔥5👍1
Showing the 12 most recent of 19 posts we hold for @dspstuff. 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.
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 21 October 2026 — this
entry's latest reading, not the date you are reading this.
“Практика EQ” (@dspstuff), 178 subscribers as measured 21 October 2026. Telegram Register, tgregister.com/channel/dspstuff.
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.