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Channel

Психоанализ и Цифровая культура

@analysis_digital_culture

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

655subscribers

+10 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID-1002639561760
TypeChannel
Username@analysis_digital_culture
CreatedBetween 1 March 2025 and 31 July 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live14 August 2026
Measurements held3
Confirmed unchanged1 time, most recently 14 August 2026
On Telegramt.me/analysis_digital_culture

Growth

6456556506 August 2026 — 645 subscribers6 August 2026 — 645 subscribers14 August 2026 — 655 subscribers6 August 202614 August 2026
3 measurements spanning 8 days, net +10. 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 644–657 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
14 Aug 2026, 22:04655+10
6 Aug 2026, 20:51645no change
6 Aug 2026, 19:49645first reading

Engagement

19 posts held, back to 24 May 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 pageof Telegram’s post history, 20 posts per page.

ERR · 30 days
58.7%
avg views ÷ 655 subscribers
Avg views / post
384
3 posts measured
Reaction rate
6.59%
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
WindowRolling 30 days · latest post in window 2 August 2026
Posts held19 (24 May 20262 August 2026)
Views total1,153
Reactions total76
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken6 Aug 2026, 19:49 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

535 reactions across 18 posts, in 16 distinct kinds. The most used accounts for 32.0% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
17132.0%
🔥13124.5%
👍8816.4%
🤣366.73%
💯295.42%
😁295.42%
😢193.55%
💔142.62%
🤡50.935%
🤔30.561%
🤓20.374%
🤪20.374%
🤯20.374%
🤷‍♀20.374%
👌10.187%
👎10.187%

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 18 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 535reactions 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 24 May 2026 to 2 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.

Recent posts

2 Aug 2026, 18:57 UTC211 views22 reactionsread 6 August 2026
Photo

Приглашаю всех на свой семинар 5-го августа в 18.00 Клиника цифровой эпохи: почему виртуальная реальность изменяет классическую проблематику? Трансформации депрессии, нарциссизма, ОКР, ПРЛ и тревожных расстройств Почему важно поучаствовать? Во-первых, это просто интересно. Как так - мы спокойно жили в реальности и вдруг оказались среди виртуальных пространств? Непонятно. Во-вторых, много про клинику. Мир изменился

🔥11👍74

Signed Николай Медведев

30 Jul 2026, 20:42 UTC279 views20 reactionsread 6 August 2026
Photo

Почему мы хотим управлять поездом? Экзистенциальный крах цифровой эпохи на примере мема «Делать это» или управлять поездом - а есть ли разница? Цифровая эпоха сводит экзистенциальное различие на нет. Занимает ли Валерий место машиниста или пассажира собственного желания - в любом случае, обе колеи проложены извне. И алгоритмические траектории adult content (от типизированных сюжетов до рекомендаций) и железнодорожны

👍10💯42🤷‍♀2🔥1😁1

Signed Николай Медведев

21 Jul 2026, 19:28 UTC663 views34 reactionsread 6 August 2026
File

Выкладываю свою презентацию с прошедшего мероприятия в ПсиКлаб ИИ как фетиш и утрата желания В современном мире ИИ становится фетишем. Психоанализ же определяет фетиш как объект, отрицающий фундаментальную нехватку - ту самую, что делает нас желающими существами. Алгоритм предвосхищает наши желания до их осознания, устраняет фрустрацию и неопределенность, подменяя живого Другого - непредсказуемого и травматичного

16🔥10👍5👎1🤡1😢1

Signed Николай Медведев

15 Jul 2026, 09:59 UTC312 views1 reactionsread 6 August 2026

Еще раз приглашаю на наше выступление 19-го в 17.00 "ИИ: от фетиша к идентичности" и заодно делюсь небольшим случаем о моем пациенте и его фетише - колонке Алиса

1

Signed Николай Медведев

15 Jul 2026, 09:59 UTC478 views24 reactionsread 6 August 2026
Photo

Коллеги, уже в это воскресенье 19 июля в 17:00 мск. мы встречаемся в ПсиClub. Говорить и размышлять на тему «От фетиша к идентичности: психоанализ после вторжения ИИ». Спикеры Николай Медведев и Сергей Грушко поделятся своими исследованиями и идеями как ИИ меняет наше мышление. Ко встрече мы предлагаем вам Пост-клинический случай Николая Медведева «Алиса как фетиш» «Расскажу о своем нарциссическом пациенте, котор

🔥12👍9💔21

Signed Николай Медведев

12 Jul 2026, 13:22 UTC458 views23 reactionsread 6 August 2026
Photo

«О чем мы забываем, когда разговариваем с машинами? Мы забываем, что такое быть человеком и что значит вести человеческий разговор. Машины запрограммированы на беседу «как будто» они нас понимают - но именно поэтому, когда мы разговариваем с ними, мы тоже становимся «как будто». «What do we forget when we talk to machines? We forget what is special about being human. We forget what it means to have authentic conver

10💯10👍3

Signed Николай Медведев

8 Jul 2026, 19:14 UTC461 views19 reactionsread 6 August 2026
Photo

К нашей встрече 19 июля в ПсиClub Николай Медведев делится мыслями об «ИИ марткетплейсов: пароксизм Эроса» «Когда мы говорим об ИИ, обычно представляем бесконечные окошки чатов - GPT, DeepSeek, Claude и Алиса - но, по Марку Вайзеру, технологии могут быть незримыми, вплетаясь в нашу жизнь гораздо глубже, чем мы думаем [3]. Озон, Яндекс.Маркет, Вайлдбериз - мы пользуемся ими так часто, что уже не воспринимаем как ИИ,

👍7🔥63💔2🤔1

Signed Николай Медведев

8 Jul 2026, 19:11 UTC368 viewsread 6 August 2026

А вот мой небольшой пост «ИИ маркетплейсов и пароксизм Эроса»

Signed Николай Медведев

6 Jul 2026, 19:39 UTC454 views26 reactionsread 6 August 2026
Photo

Если взглянуть на этот мем через лакановскую оптику, то мы увидим: ИИ-девушка - это фантазм, экран, на котором технология становится объектом желания. А вот кадр «без макияжа» инсценирует вторжение Реального: за фантазматическим образом проступает то, что сопротивляется эротической символизации - железо, вычисление и нечеловеческая материальность. Почему это смешно? Комизм мема возникает из разрыва между фантазматиче

🤣12👍7🔥5👌1💯1

Signed Николай Медведев

3 Jul 2026, 15:13 UTC600 views22 reactionsread 6 August 2026

Друзья, сердечно приглашаю на наше с Сергеем выступление про ИИ - от фетиша к идентичности. Почему стоит присоединиться? Потому что я расскажу о том, как ИИ сейчас становится предметом тотального - но болезненного - влечения. А вот Сергей и вовсе представит эмпирический материал - серию интервью с психологами, где они рассуждают, кто они теперь - в век ИИ? Надо брать. https://t.me/PsyClubSochi/652

🔥107👍5

Signed Николай Медведев

1 Jul 2026, 19:59 UTC536 views37 reactionsread 6 August 2026
Photo

Эдипальный запрет в цифровую эпоху: подарок от Step-Mom 18+ На чем строится классическая психоаналитическая драма? На эдипальном запрете. Грозный отец, как великан со своей большой дубиной, охраняет вход в спальню. Страх кастрации удерживает субъекта в границах символического закона, приняв который, он сможет войти в культуру. Однако сегодня видео 18+ с пометкой step-mom (мачеха и пасынок - один из наиболее кликабел

18🔥14👍3🤔1🤡1

Signed Николай Медведев

23 Jun 2026, 20:34 UTC610 views66 reactionsread 6 August 2026
Photo

Бьюти-блогер, которой изменил муж. Психоз и социальная сеть как альтернативная символическая система. Я хочу рассказать об одной пациентке, для которой цифровая реальность произвела целый психотический мир. Это была женщина 30 лет - раскрученный бьюти-блогер. Я хотел бы описать ее просто красивой, но в данном случае мы имеем дело с парадоксом: красота оказывается симптомом. Почему? Семья - классическая фабрика нарци

34😢16🔥8💔7🤔1

Signed Николай Медведев

Showing the 12 most recent of 19 posts we hold for @analysis_digital_culture. 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 — 86,139 of 1,478,351entries 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 2 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.

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.

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

“Психоанализ и Цифровая культура” (@analysis_digital_culture), 655 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/analysis_digital_culture.

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.