Channel
@lev_naumov
On this record: Growth · Engagement · Reactions · Posts · Citations · Cite this entry
320subscribers
+9 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1001763973808 |
|---|---|
| Type | Channel |
| Username | @lev_naumov |
| Created | Between 1 December 2021 and 30 April 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 12 September 2026 |
| Measurements held | 7 |
| Confirmed unchanged | 1 time, most recently 12 September 2026 |
| On Telegram | t.me/lev_naumov |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 12 Sept 2026, 17:17 | 320 | +1 |
| 5 Sept 2026, 18:01 | 319 | +2 |
| 28 Aug 2026, 05:16 | 317 | +2 |
| 20 Aug 2026, 20:47 | 315 | +1 |
| 14 Aug 2026, 19:48 | 314 | +3 |
| 6 Aug 2026, 22:18 | 311 | no change |
| 6 Aug 2026, 08:16 | 311 | first reading |
9 posts held, back to 3 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 1 page of Telegram’s post history, 20 posts per page.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 9 posts for this entry, the most recent from 3 August 2026. An engagement rate over an empty window would be a number about nothing.
47 reactions across 8 posts, in 5 distinct kinds. The most used accounts for 53.2% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 25 | 53.2% | |
| 👍 | 10 | 21.3% | |
| 🔥 | 10 | 21.3% | |
| 🏆 | 1 | 2.13% | |
| 👏 | 1 | 2.13% |
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 9 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 47 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 9 most recent posts we hold, published 3 July 2026 to 3 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.
Спасибо, Казань, это было великолепно! Книги моей серии "Библиотека Сизифа" переданы в дар Национальной библиотеке республики Татарстан. На фото их принимает директор библиотеки Мадина Фатыховна Тимерзянова.
❤6🔥1
Video message, posted without a caption
👍4🔥1
Почему вообще мы любим читать о кино?.. Культуролог, драматург, член Союза российских писателей Лев Наумов выступит с лекцией в Национальной библиотеке! Кино не просто рассказывает истории, оно учит иначе чувствовать движение, длительность, пространство. На лекции речь пойдёт о Тарковском, Параджанове, Нолане, других режиссёрах и героях книг Льва. Почему кино требует продолжения в тексте? Что книга может раскрыть …
🔥5❤2👍1
Для меня очень многое началось с Александра Кайдановского, которому сегодня исполнилось бы восемьдесят лет. Его помнят прежде всего как Сталкера – закономерно, но не вполне справедливо. Кайдановский был больше одной великой роли: актёр и режиссёр, ученик Тарковского, человек Борхеса, Камю и Толстого. Он снимал кино о смерти, вине, двойничестве и вере – о той области человеческого, где принципиально невозможно отделит…
❤10👍2👏1🔥1
Розыгрыш очень актуальной книги – «Муза и алгоритм. Создают ли нейросети настоящее искусство?» (Редакция Елены Шубиной, 384 стр.). Ее автор – писатель и культуролог Лев Наумов. Книга поднимает фундаментальный вопрос – могут ли нейросети быть творцами. Это не просто размышление о технологиях, а попытка понять, где проходит граница между машиной и человеком, алгоритмом и вдохновением. Лев Наумов соединяет искусствовед…
Друзья, 18 июля увидимся на Российской креативной неделе. Философская дискуссия «Человек после промпта: где заканчивается технология и начинается творчество?» 18 июля, 13:15-15:00 Площадка «Коллаборации» Парк Горького, комплекс «Мечта» Искусственный интеллект перестал быть только инструментом. Сегодня он стал средой производства смыслов, образов, решений и даже самоописания человека. Креативная экономика первой по…
🔥2🏆1👍1
Друзья, 19 июля - мой творческий вечер в Ярославле! Приходите. https://obostrenie.com/events/567
❤2
Друзья, приглашаем вас на летний фестиваль Дениса Мацуева в Суздале! 🤩🤩🤩🤩 Фестиваль начнется сегодня и будет проходить в Спасо-Евфимиевом монастыре в Вестибюле экспозиции "Золотая кладовая (Русское декоративно-прикладное искусство XI — начала XX века)". 🌟Уже сегодня в 14:00 состоится встреча с Андреем Рубановым! Регистрация 🌟Завтра в 14:00 вы сможете встретиться с Павлом Басинским. Регистрация 🌟12 июля 14:00 —…
👍2
Правила игры таковы: от автора требуется создавать дистанцию между означаемым и означающим, а от зрителя — ловко её преодолевать. Сегодня день рождения Льва Наумова! Поздравляем автора, рассказываем о книге «Муза и алгоритм» и предлагаем вам отгадать загадки из текста. Не открывайте спойлеры сразу! Ответы: 1. Нейросеть: второй ряд — первая картина, третья картина; третий ряд — первая картина, вторая картина, тре…
❤5
Showing the 9 most recent of 9 posts we hold for @lev_naumov. 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.
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
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.
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.
Names
Channels on the register whose handles appear in this channel's posts.
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.
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 September 2026 — this entry's latest reading, not the date you are reading this.
“Лев Наумов - буквы, слова и другие события” (@lev_naumov), 320 subscribers as measured 12 September 2026. Telegram Register, tgregister.com/channel/lev_naumov.
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.