Telegram RegisterThe public register of Telegram

Channel

Дискурс

@discoursio

Verified by Telegram

On this record: Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Citations · Cite this entry

12,507subscribers

+14 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1001121503615
TypeChannel
Username@discoursio
DescriptionНезависимый журнал о культуре, науке, искусстве и обществе с открытой редакцией Предложить материал: discours.io/#post Помочь самиздату: discours.io/help Для связи: @discours_bot Сайт самиздата: discours.io
Created22 May 2017measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live12 August 2026
Measurements held8
Confirmed unchanged1 time, most recently 12 August 2026
On Telegramt.me/discoursio

Growth

12,48812,50712,497.56 August 2026 — 12,493 subscribers6 August 2026 — 12,493 subscribers7 August 2026 — 12,500 subscribers8 August 2026 — 12,488 subscribers9 August 2026 — 12,491 subscribers10 August 2026 — 12,495 subscribers11 August 2026 — 12,503 subscribers12 August 2026 — 12,507 subscribers6 August 202612 August 2026
8 measurements spanning 6 days, net +14. 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 12,485–12,510 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
12 Aug 2026, 13:3812,507+4
11 Aug 2026, 17:0612,503+8
10 Aug 2026, 20:3112,495+4
9 Aug 2026, 00:5512,491+3
8 Aug 2026, 00:2412,488-12
7 Aug 2026, 00:3812,500+7
6 Aug 2026, 02:3312,493no change
6 Aug 2026, 01:5612,493first reading

Engagement

11 posts held, back to 30 July 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 16 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
22.3%
avg views ÷ 12,507 subscribers
Avg views / post
2,790
11 posts measured
Reaction rate
1.19%
reactions ÷ views · ER floor
Posts in window
11
of 11 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
WindowRolling 30 days · latest post in window 11 August 2026
Posts held11 (30 July 202611 August 2026)
Views total30,741
Reactions total365
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken13 Aug 2026, 03:19 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

Photos
6,000
Videos
25
Links
3,470

Lifetime counters from Telegram’s own channel header, read 13 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.

Reaction mix

365 reactions across 11 posts, in 16 distinct kinds. The most used accounts for 38.1% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
13938.1%
🔥6517.8%
❤‍🔥4412.1%
👍349.32%
🕊287.67%
👏205.48%
💔71.92%
😍61.64%
🐳51.37%
🤔51.37%
😱41.10%
🙏30.822%
😁20.548%
😢10.274%
🤩10.274%
🤬10.274%

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 11 of the 11 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 365reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 11 most recent posts we hold, published 30 July 2026 to 11 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
14
across the posts below
Posts paid on
2
of 11 we hold a reading for · 18%
Most on one post
11
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @discoursio. 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 11 most recent posts we hold for this entry, published 30 July 2026 to 11 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.

Recent posts

11 Aug 2026, 14:17 UTC765 views30 reactionsread 13 August 2026
Photo

Как документальный театр сопротивляется постправде и в чем ловушка его метода Спектакль можно собрать из судебных протоколов, газетных вырезок, чужих дневников и даже из собственного тела автора — на этом почти сто лет стоит документальный театр. Когда в двадцатые Эрвин Пискатор вывел на сцену кинохронику и политические манифесты, а сорок лет спустя Петер Вайс построил «Дознание» на протоколах процессов над нацистам

15👏6🤔5🙏2💔1🔥1

10 Aug 2026, 11:07 UTC≈18,300 views65 reactions11 Starsread 13 August 2026

Глава «Яблока» Николай Рыбаков — о будущем России, страхе, надежде и политике как смысле жизни Вся предвыборная программа «Яблока» — всего 43 слова: мир и немедленное прекращение огня, остальное потом. При ядерной войне, говорят в партии, будет не до ставки НДФЛ. Накануне суда, на котором решается, допустят ли «Яблоко» до выборов и дойдет ли эта программа до бюллетеней, мы поговорили с председателем партии Николаем

❤‍🔥33🕊186🔥5👏1🤩1😢1

8 Aug 2026, 09:53 UTC≈1,350 views32 reactionsread 13 August 2026
Photo

«Оппоздарь, или искусство не брать власть». Почему нельзя победить авторитаризм, играя по его правилам Самая опасная ловушка для противников диктатуры — начать воспроизводить её привычки. Политический мыслитель Борис Бондарев утверждает, что российская оппозиция раз за разом попадает именно в неё. Скандалы вокруг Платформы российских демократических сил при ПАСЕ и тяжба Любови Соболь с Марком Фейгиным — лишь симптом

17🔥8👍4👏2🤬1

7 Aug 2026, 14:40 UTC≈1,270 views24 reactionsread 13 August 2026
Photo

Наши коллеги из ФАНК продолжают онлайн-программу «Дни научного кино» двумя открытыми лекциями о том, как наука помогает разобраться в возможностях древних людей и об устройстве мира приматов. 8 августа, 10:00 МСК — «Не могли! Вымышленные и реальные возможности древних людей. Версия 3.0». Научный журналист Александр Соколов расскажет об археологических экспериментах, древних технологиях и мифах о невероятных способно

12😍6👍4🔥2

5 Aug 2026, 14:28 UTC≈1,420 views28 reactionsread 13 August 2026

В тюрьме Репрессия окружает человека повсюду: нависает над ним, прячется в чашке чая «Майский» и между строк протоколов. Так Павел Крисевич называет не только государственную машину, но и особую среду, которая подчиняет себе мысли, быт и отношения между заключёнными. До ареста Павел писал акрилом и, по собственному признанию, толком не умел рисовать — пять лет колонии стали для него художественной школой. За решетко

13🕊7👍4💔3👏1

4 Aug 2026, 15:30 UTC≈1,430 views52 reactionsread 13 August 2026
Photo

Приближение к греческой женщине. Как был устроен её быт и почему мы уверены в её несчастье? Виновата демократия: чем свободнее становились Афины, тем жестче закон ограничивал женщин. Но образ забитой затворницы придумали филологи XIX века: они списали гречанку с собственных жен, и гендерная теория до сих пор смотрит на Афины их глазами. Проверка этого образа начинается прямо с порога: женскую половину дома, где афин

🔥30👍98👏3🕊2

4 Aug 2026, 12:14 UTC≈1,310 views30 reactionsread 13 August 2026
Photo

Кому принадлежат данные, которые мы оставляем после каждого поиска и сообщения? Почему корпорации могут собирать их, превращать в источник прибыли и что общего у этого процесса с захватом земель и природных ресурсов колониальными империями? Вместе с Komi Daily разбираемся, что такое колониализм данных, почему информация о нашей повседневной жизни стала новым ресурсом, как искусственный интеллект усиливает эту систем

15🔥9👏4🕊1🙏1

3 Aug 2026, 15:36 UTC≈1,310 views28 reactionsread 13 August 2026
Photo

Страх белого холста: искусство как способ выжить «Закончились влечения, влюблённости, мечты. Осталась только голая правда». Так Игорь Смирнов описывает то, что с ним происходило в последнее время. В своих работах он не ищет сочувствия, не питает иллюзий и не пытается кого-то спасти. Он называет свое искусство «выставкой умственно отсталого» — творчеством человека, который сгорел дотла, расстался с прежними амбициями

16👍5🔥4👏2😁1

3 Aug 2026, 09:33 UTC843 views20 reactions3 Starsread 10 August 2026

Новый дайджест интересных материалов и инициатив от читателей, авторов, коллег и друзей самиздата: ✨ «Люди Байкала» изучили, как добыча бивней мамонта превратилась в прибыльный промысел на севере Якутии, почему запрет на торговлю слоновой костью изменил мировой рынок и что стоит за поисками древних останков: от тяжелой работы и больших денег до мифов коренных народов и проблем нелегальной торговли. ✨ Наши коллеги и

❤‍🔥115👍4

1 Aug 2026, 11:14 UTC993 views25 reactionsread 8 August 2026
Photo

Когда мы попадаем в слепую зону Перед Олимпиадой полиция зачищает Париж от бездомных. Российская эмигрантка, оставшаяся без документов и крыши над головой, бродит по французской столице, ища ночлег и подработки. Она встречает Мари и Арно — людей, которых полицейские снова и снова вытесняют с улиц, — и вместе с ними учится по-другому воспринимать свою бездомность, не отказываясь от того, что делает жизнь жизнью. Расс

13👍4💔3😱3👏1😁1

30 Jul 2026, 13:35 UTC≈1,750 views31 reactionsread 7 August 2026
Photo

Дачные мужья, дуэли, купания и любовные приключения: как отдыхал Серебряный век Лето — время дерзких приключений, а не только безмятежных прогулок. Знаменитые русские поэты, писатели и художники доказывали это на собственном примере: на дачах они заводили романы, осваивали теннис и езду на велосипеде, пугали купальщиков, без конца гостили друг у друга, спорили и даже ссорились — порой настолько серьезно, что дело до

19🔥6🐳5😱1

Showing the 11 most recent of 11 posts we hold for @discoursio. 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 — 5,476 of 1,151,006entries 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.

Записки из подполья
@zpskizpdpl · 158
2 posts
ᴍᴀᴄʜɪɴɪᴄ ᴇᴍʙᴏᴅɪᴍᴇɴᴛ
@acceleratethefuture · 2,089
1 post
Aнна Волкова | ABA ACT | аутизм СДВГ рас психолог детский
@annatells · 758
1 post
Atamanchuk
@atatamanchuk · 393
1 post
bəhruzistan
@bahruzistan · 224
1 post
BlackHoleSurfers
@blackholesurfers · 356
1 post
Синие Капибары
@blue_capybaras · 1,318
1 post
Здесь нет манифестов
@dinatoroyeva · 192
1 post
гёрги
@grgyyyy · 167
1 post
HEVALE
@hevale · 2,719
1 post
КАШИН
@kashinguru · 75,567
1 post
Komi Daily
@komi_daily · 1,626
1 post
Л. Лоцман
@lev_lotsman · 171
1 post
Местные
@localsproject · 612
1 post
Сама с собой
@mareeinterieure · 146
1 post
Медиалакуна
@media_lacuna · 221
1 post
Метропикет. Омск
@metropiketomsk · 151
1 post
Most.Media
@mostmediaorg · 3,473
1 post
неканон
@nekanon · 743
1 post
nonbinaryrussia
@nonbinaryrussians · 249
1 post
Open Education
@OpenEducationNews · 827
1 post
Это базис
@podcastbasis · 5,147
1 post
Post/work | левый акселерационизм
@post_work · 1,870
1 post
priestupniki
@priestupniki · 112
1 post
Русский Динозавр: книгоиздание и арт-контент под ключ
@rd_content · 190
1 post
3 сентября
@Sent3 · 8
1 post
онтологически я всё.
@shurka_veshaya_kaurka · 361
1 post
Схрон — новости поэзии
@skhronpoetry · 2,673
1 post
Птичий полк
@sparrow_platoon · 94
1 post
АнтиФонд
@strikefund · 1,661
1 post
Смерть и Мебель
@stupidisthenewcool · 1,260
1 post
Turris eburnea
@turriseburnea · 100
1 post
Радикальное сестринство
@wearesisters · 759
1 post

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 12 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.

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 12 August 2026 — this entry's latest reading, not the date you are reading this.

“Дискурс” (@discoursio), 12,507 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/discoursio.

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.