This channel’s posts match, word for word or near enough, posts on 1 other registered channel, found by comparing text fingerprints across every channel on the register. That matching has been checked by hand against the live Telegram pages and found reliable — 0 wrong of 45 pairs re-read.
Which channel, if either, published first is deliberately not shown. The same hand-check found that reading wrong 18 of 45 times — 60%, no better than a coin flip — because it depends on how deep our own crawl happened to reach into each channel’s history, not on when the content was actually first posted. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Word-for-word matching has several ordinary explanations besides copying — a channel mirroring itself, an unattributed repost, or two channels independently repeating the same wire story — and this measurement cannot tell those apart. How this is measured.
4 measurements spanning 6 days, net -6. 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 4,219–4,227 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
13 Aug 2026, 11:24
4,220
-3
10 Aug 2026, 08:31
4,223
-2
7 Aug 2026, 06:40
4,225
-1
7 Aug 2026, 02:30
4,226
first reading
Engagement
21 posts held, back to 23 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 5 pagesof Telegram’s post history, 20 posts per page.
ERR · 30 days
25.2%
avg views ÷ 4,220 subscribers
Avg views / post
1,070
5 posts measured
Reaction rate
2.87%
reactions ÷ views · ER floor
Posts in window
5
of 21 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
21 (23 May 2026 – 7 August 2026)
Views total
5,325
Reactions total
153
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
8 Aug 2026, 12:02 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
766 reactions across 21 posts, in 21 distinct kinds. The most used accounts for 27.7% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
🔥
212
27.7%
❤
167
21.8%
❤🔥
165
21.5%
🕊
60
7.83%
👍
56
7.31%
💩
30
3.92%
⚡
21
2.74%
👏
20
2.61%
🍾
15
1.96%
💘
7
0.914%
👀
2
0.261%
🥱
2
0.261%
🌭
1
0.131%
🎉
1
0.131%
👎
1
0.131%
💔
1
0.131%
💯
1
0.131%
😍
1
0.131%
😡
1
0.131%
🤣
1
0.131%
1 further kind
1
0.131%
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 21 of the 21 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 766reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 21 most recent posts we hold, published 23 May 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 21 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 @approvepublic. 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 21 most recent posts we hold for this entry, published 23 May 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.
Гребенщик, ГАФТ
Виталя Гребенщиков для меня некий питерский призрак. Вижу его часто то там то сям. Робко здороваюсь, если происходит встреча глазами. Так и не понял, знакомы мы с ним или нет. И, кажется, он тоже не совсем определился с этим. Но у него такая внешность, что сложно его не замечать повсюду, где он появляется.
На новом немного пост-панковом совместном с ГАФТ сингле «Хватит» Виталя поёт куплеты, транслир…
Слава КПСС
Единственный рэпер. С обложки микстейпа «Единственный рэпер» смотрит нищий Славик из 2016-го — батл-рэпер, который выходит годами на сцену в одной и той же куртке. Слава-2026 — опрятная селеба, которая выходит на сцену VK Fest и дает интервью Илье Соболеву. В одном между ними все еще нет разницы — они оба умеют делать угарный рэп с тонной панчей обо всем на свете — тогда это мог быть комар-парижананин, а …
SADSADSERGIEVPOSAD
Когда-то я думал, что речь – это прямое переливание смысла из одной головы в другую. Потом я стал видеть это иначе: один человек переливает смысл из головы в словесную ёмкость (проливая часть мимо), а другой из этой ёмкости зачерпывает не самой чистой чашкой, на стенках которой осталась влага прошлых коммуникаций – и всё это не очень аккуратно опрокидывает в свою голову. Что-то теряется, а что-то …
Hoavi
До 23-х лет я жил на седьмом этаже барнаульской девятиэтажки – примерно моей ровесницы. В один из приездов на малую родину (в ту же квартиру) я услышал забытый звук – когда лифт останавливается, прежде чем открыть двери, он пару секунд издаёт низкочастотный вибрирующий стон, который одинаково хорошо слышен в любой точке квартиры – причём звучит где-то в горле. Я никогда не думал, откуда берётся этот звук. Но б…
топ-50 полугодия, заслушанных редакцией аппув
Оха, Maxim Coroletci — Не смотри на меня
Дедовский свитер — Как мило
Пазнякс — Бесит
Vika Kuchak — Aspirine
Ходьба — Ван Ризла (demo)
Размаха — Я сделан из такого вещества
Semi-Professionals — Amigo
Конус Маха — Степь
Свисая с телевышки — Устала
МАТЬМАЧЕХА — Splash
Море кризисов — Полевые цветы
UBEL — Прихоть
Mirèle — Мне противно это лето
Золотые Зубы, Иван Лужков — Деп…
Ksentiméntal
В строю меланхоличных поп-певиц с электронным лоу-файным звуком пополнение. Правда в этот раз мы имеем дело с человеком, шагающим не в ногу. Ксения Чурсина, выступающая под именем Ksentiméntal, не похожа на других «грустных девочек с наушниками Marshall» (это слова из её песни). Слушая три её сингла (а больше пока и нет), я осознал, насколько поколение Z ушло от текстоцентричности и многословности, наск…
огонек
«Собачий кайф» – новый когтистый релиз питерской инди фолк андеграунд рок группы. «Пёс не знает, что с машиной делать, если смог ее догнать. Я вслепую буду рядом, только гладь, гладь». Этот и еще бесчисленное множество гавкучих панчей в песне о любви, созависимости и исследовании границ в отношениях.
Уже узнаваемый голос Игоря, прилипчивый припев, мощные аукцЫоновские вайбы... Да, да, да... Этим нас уже не у…
UBEL
Говорят, шило в мешке не утаишь. Вот так же и с новым альбомом Вари и Егора Убелей – как бы они ни пытались сделать альбом, который мне точно не понравится, их талант перевесил!
В альбоме «Нормальная музыка» UBEL возвели декорации беззаботных нулевых – под жизнерадостный и яркий эмтивишный рочок Варя поёт про танцы под мини-диск, порванные вансы и Хей Арнольда. В нулевых мой Хэй Арнольд носил фамилию Шварценег…
Кепсус
Есть музыканты, которые шлифуют треки до состояния «еще чуть-чуть — и можно в музей». А есть те, кому важнее зафиксировать творческий замысел, пока он не начал вести себя прилично. Мне часто ближе второй способ, и Кепсус появился как рамка для быстрых зарисовок многочисленных маниакальных творческих эпизодов.
«Бесплатно» — первый из них: абстрактненький андерграунд-хип-хоп от музыкальных гиков про удовольств…
Что послушать и почему?
DenDerty — Конченая
Кульбит обратно в сторону мрачной электроники под восьмиструнную гитару. Трек без попыток обрести поп-популярность, как в старые добрые времена.
Слушать, где удобно
Самое Большое Простое Число — Abracadabra
Бежевые мамы оставили детишек с няней и пытаются уйти в запойные танцы. Но трек шикарный — навязывается моментально.
Слушать, где удобно
SODA LUV — Филлеры
Летний, ро…
Последняя Ревизия
«Ждёшь когда в руке потеплеет, ждёшь, когда в душе потеплеет» – нет, это не песня из разряда «Я хочу держать тебя за руку». Сегодня поговорим про одиночество и отчуждение в песнях группы Последняя Ревизия.
Когда я увидел, что ребята из Калининграда, стало даже немного смешно – типа если мрачный даб с пост-панковыми вайбами, то непременно из города могилы Канта Комитета Охраны Тепла.
Последнюю Рев…
Что послушать и почему?
Сруб — Там, где искал тебя я
Сибирский фолк-пост-панк отогрелся на летнем солнце и преисполнился вселенским добром регги. Вокал, обмотанный дребезжащей пружинной реверберацией, — зачёт!
Слушать, где удобно
AUM RAA — ВРАЩАЕТСЯ ПЛАНЕТА
Нежный вокал на припеве, ухающие совой басовые синты и отрезвляющий флоу куплетов. «Это не рэп, это притча».
Слушать, где удобно
жизнь блаженным — встань за ме…
👍10❤🔥8❤6🔥4🕊2💩1
Showing the 12 most recent of 21 posts we hold for @approvepublic. 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 — 109,381 of 1,169,250entries 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 6 registered channels — 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 13 August 2026 — this
entry's latest reading, not the date you are reading this.
“аппрув” (@approvepublic), 4,220 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/approvepublic.
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.