Telegram RegisterThe public register of Telegram

Channel

EXTENDED (SUR)REALITY

@extended_surreality

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

3,356subscribers

-5 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1001814743571
TypeChannel
Username@extended_surreality
CreatedBetween 1 October 2022 and 30 September 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live13 August 2026
Measurements held5
Confirmed unchanged1 time, most recently 13 August 2026
On Telegramt.me/extended_surreality

Growth

3,3553,3613,3586 August 2026 — 3,361 subscribers6 August 2026 — 3,361 subscribers6 August 2026 — 3,360 subscribers10 August 2026 — 3,355 subscribers13 August 2026 — 3,356 subscribers3,3566 August 202613 August 2026
5 measurements spanning 6 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 3,354–3,362 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
13 Aug 2026, 01:343,356+1
10 Aug 2026, 00:023,355-5
6 Aug 2026, 19:213,360-1
6 Aug 2026, 14:303,361no change
6 Aug 2026, 14:233,361first reading

Engagement

15 posts held, back to 18 November 2025the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 3 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
27.5%
avg views ÷ 3,356 subscribers
Avg views / post
923
1 post measured
Reaction rate
3.14%
reactions ÷ views · ER floor
Posts in window
1
of 15 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 17 July 2026
Posts held15 (18 November 202517 July 2026)
Views total923
Reactions total29
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Aug 2026, 23:26 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
15s
Average length
15s

Measured directly from 1 video 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

692 reactions across 15 posts, in 16 distinct kinds. The most used accounts for 52.3% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
36252.3%
🔥12718.4%
👍9213.3%
❤‍🔥415.92%
👏243.47%
101.45%
🤣91.30%
🤩60.867%
👌50.723%
😢50.723%
💯40.578%
🤔20.289%
🤡20.289%
🆒10.145%
👎10.145%
🤮10.145%

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 15 of the 15 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 692reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 15 most recent posts we hold, published 18 November 2025 to 17 July 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.

Recent posts

17 Jul 2026, 07:36 UTC923 views29 reactionsread 7 August 2026
Forwarded from @sychevlab

«Приготовьтесь устаревать» Так начинается новый выпуск RTable. И, пожалуй, это лучшая подводка к разговору о философии, кибербезопасности и искусственном интеллекте. ✖️Почему философия сегодня становится практическим инструментом для специалистов по информационной безопасности? ✖️Можно ли автоматизировать мышление? ✖️К чему приводят сомнения? ✖️И что останется нашим конкурентным преимуществом, если ИИ научится дела

23🔥4👏2

23 Jun 2026, 06:50 UTC≈1,650 views22 reactionsread 7 August 2026

Завтра вечером, 24 июня, мы с прекрасной и вдохновляющей Аней Бичевской проведем первый летний философский кружок в библиотеке Достоевского (с последующей прогулкой) Все подробности в этом посте, присоединяйтесь! #event

20🔥2

19 May 2026, 09:10 UTC≈2,350 views27 reactionsread 7 August 2026

В эти выходные буду в Нижнем Новогороде на ТехФрендли Викенде и приму участие в дискуссии, организованной Музеем Криптографии. Общая программа тут #event

🔥1512

29 Apr 2026, 10:30 UTC≈2,660 views62 reactionsread 7 August 2026
Photo

На платформе Teller вышла моя небольшая статья про то, как мы проживаем время в эпоху цифровых технологий. (спойлер: проживаем мы его не очень) https://teller.media/kak-czifrovye-tehnologii-razmyli-graniczy-vremeni/

29❤‍🔥15😢54🔥3👍2💯2👌1

13 Apr 2026, 09:57 UTC≈3,120 views61 reactionsread 7 August 2026

Давно ничего не публиковала - исправляюсь и делюсь сразу несколькими материалами: «Emotion concepts and their function in a large language model» - очень интересный исследовательский текст от Anthropic, посвященный репрезентациями эмоций у LLM и их функциональному назначению. “AI development won’t hit a wall anytime soon - here’s why” - небольшая заметка от главы Microsoft AI, из которой становится понятно, почему

32🔥20👍8🤮1

13 Mar 2026, 06:28 UTC≈2,980 views59 reactionsread 7 August 2026

В раздробленном потоке Многие устойчивые понятия нашей «цифровой эпохи» внутренне противоречивы. Например, мы постоянно говорим о потоке информации, и эта метафора обычно подчеркивает непрерывность нашей онлайн-коммуникации (вспомним одноименную книгу Бориса Гройса). С другой стороны, мы все знаем, что цифровая информация также существует как последовательность дискретных единиц. Любопытно, что метафоры дискретност

39👍126🔥2

25 Feb 2026, 06:44 UTC≈12,300 views57 reactionsread 7 August 2026

Техника и время Еще философ Бернард Стиглер в своей одноименной работе писал, что техника (в широком смысле этого слова) производит режимы темпоральности, отвечая на вопросы о том, что такое скорость, задержка, ожидание, и что нами принимается за «реальное время». Во-первых, именно техника способствует измерению и стандартизации времени. Часы, расписания, тайм-зоны превращают время в управляемый ресурс, а отсюда бе

👍3717🔥2🤔1

13 Feb 2026, 06:56 UTC≈2,940 views66 reactionsread 7 August 2026

Каково это быть современным? Как я уже писала ранее, современность всё чаще переживается как одновременность несовпадающих временных пластов, а не как общее «сейчас». Замечали ли вы, что «быть современным» всё чаще означает существовать в режиме лёгкого смещения вперёд, т.е. касаться будущего раньше других - улавливать “тренды” и слабые отголоски предстоящего? Отсюда и странный парадокс: мы постоянно ощущаем, что

38🔥18👏9👎1

9 Feb 2026, 07:25 UTC≈4,020 views58 reactionsread 7 August 2026

В Nature вышла статья про AGI, в которой исследователи утверждают: если отбросить путаницу в терминах, эмоциональный алармизм и завышенные ожидания, то «общий ИИ» уже с нами. Их доводы: современные LLM уже успешно проходят тест Тьюринга; решают задачи уровня PhD и международных олимпиад, демонстрируют широту и глубину способностей, сравнимую с человеческой. Почему многие всё ещё сомневаются: - нет чёткого определен

22👍18🤣9❤‍🔥6🤡2🆒1

3 Feb 2026, 06:53 UTC≈2,870 views58 reactionsread 7 August 2026

Будущее? Опять? Мы привыкли думать, что наше настоящее определяется прошлым. Но на самом деле им не меньше управляют образы будущего. Начнем с базы: в разные эпохи время ощущалось по‑разному. Архаические культуры жили в режиме циклического повторения; средневековье смотрело вперёд на заранее прописанный финал; модерн пообещал прогресс и бесконечное улучшение; постмодерн поведал нам о «конце истории». Сейчас исслед

28🔥18❤‍🔥7👏3💯2

31 Jan 2026, 08:40 UTC≈2,460 views61 reactionsread 7 August 2026

Возвращаюсь к регулярному постингу! Взяла для себя небольшой перерыв, чтобы понять, куда дальше направлять свои интересы. Так вышло, что сейчас меня случайно втянуло сразу в несколько проектов, посвященных исследованию будущего. Так что в ближайшее время точно ждите посты с тегами «философская футурология», «спекулятивный дизайн», «социотехническое воображаемое» и т.п. Старая-добрая «цифра», разумеется, также остае

37❤‍🔥13🤩6👍5

26 Dec 2025, 11:19 UTC≈2,920 views22 reactionsread 7 August 2026

Вместе с коллегами из Teller-блога кратко подвели итоги уходящего 2025 года и вспомнили ключевые события, которые стали определяющими для нашего медиа-ландшафта💻

13🔥5👌4

Showing the 12 most recent of 15 posts we hold for @extended_surreality. 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 — 22,491 of 1,345,403entries 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

Republishes

Channels on the register whose posts this channel has forwarded.

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 5 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 13 August 2026 — this entry's latest reading, not the date you are reading this.

“EXTENDED (SUR)REALITY” (@extended_surreality), 3,356 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/extended_surreality.

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.