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Channel

Грани бессознательного: сны, фантазии и символическая коммуникация

@confpsychoanalysis

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

692subscribers

+12 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-1001713108020
TypeChannel
Username@confpsychoanalysis
CreatedBetween 1 December 2021 and 30 April 2023— 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/confpsychoanalysis

Growth

6806926866 August 2026 — 680 subscribers7 August 2026 — 680 subscribers14 August 2026 — 692 subscribers6 August 202614 August 2026
3 measurements spanning 8 days, net +12. 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 678–694 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
14 Aug 2026, 17:07692+12
7 Aug 2026, 17:07680no change
6 Aug 2026, 18:33680first reading

Engagement

20 posts held, back to 24 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 1 pageof Telegram’s post history, 20 posts per page.

ERR · 30 days
45.8%
avg views ÷ 692 subscribers
Avg views / post
317
20 posts measured
Reaction rate
5.19%
reactions ÷ views · ER floor
Posts in window
20
of 20 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 5 August 2026
Posts held20 (24 July 20265 August 2026)
Views total6,342
Reactions total329
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken6 Aug 2026, 18:33 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

329 reactions across 20 posts, in 11 distinct kinds. The most used accounts for 44.1% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
14544.1%
🔥8425.5%
👍5416.4%
👏226.69%
❤‍🔥113.34%
41.22%
🐳30.912%
🥰30.912%
💔10.304%
😴10.304%
🙏10.304%

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 20 of the 20 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 329reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 20 most recent posts we hold, published 24 July 2026 to 5 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

5 Aug 2026, 19:42 UTC142 views13 reactionsread 6 August 2026
Photo

Photo, posted without a caption

8👏3👍2

5 Aug 2026, 19:42 UTC177 views14 reactionsread 6 August 2026
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Нас ждёт много мастер-классов по исследованию фантазий и сновидений, и эта часть конференции никого не оставит равнодушным! Сегодня мы представляем вам мастер-класс очень ожидаемой нами гостьи 🌞 Лилия Анваровна Чернова — психоаналитик, парный психотерапевт, групповой аналитик, руководитель информационного комитета ЕАРПП, ведущая групп поддержки практики, преподаватель Института им. Фрейда и МШГА, специалист ECPP, Уф

9🔥3👍2

4 Aug 2026, 20:14 UTC175 views11 reactionsread 6 August 2026
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Photo, posted without a caption

6🔥3👍2

4 Aug 2026, 20:14 UTC177 views14 reactionsread 6 August 2026
Photo

Продолжим рассказ о мастер-классах на нашей конференции 5 и 6 сентября. Марина Витальевна Павлова, психоаналитический психотерапевт, группаналитик, супервизор ЕАРПП, РПА, ЕСРР, член ISPS, Тбилиси, проведет мастер-класс для онлайн-участников конференции. МАСТЕР-КЛАСС: После пробуждения: сновидение, которое невозможно присвоить Обычно считается, что сон заканчивается в момент пробуждения. На этой встрече мы попробу

8👍4🔥2

3 Aug 2026, 19:15 UTC207 views12 reactionsread 6 August 2026
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Photo, posted without a caption

8🐳3👍1

3 Aug 2026, 19:15 UTC235 views13 reactionsread 6 August 2026
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На нашей конференции 5 и 6 сентября планируется большое число мастер-классов по работе с фантазиями и сновидениями. Сегодня хотим представить вам анонс одного из них от двух преподавателей Санкт-Петербургской Школы практического психоанализа. Этот мастер-класс сложился в результате размышлений на границе теории и практики при ведении супервизорской группы по анализу сновидений клиентов ✨ Ольга Юрьевна Телятникова

🔥73👍2❤‍🔥1

2 Aug 2026, 20:05 UTC230 views16 reactionsread 6 August 2026
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Photo, posted without a caption

9🔥4👍3

2 Aug 2026, 20:05 UTC230 views19 reactionsread 6 August 2026
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В этот прекрасный летний день, когда многие общаются со своими родными, представляем вам уважаемого спикера, которая на этот раз затронет в своём докладе проблемы рода. Анна Александровна Фогт - первый проректор Института психоанализа имени Зигмунда Фрейда, врач-психиатр, психоаналитик, cупервизор, cо-основатель эко-системы для психоаналитиков "Мистер Фрейд". Доклад: "Синдром предков: наследство сновидений и реаль

🔥12👍4👏3

31 Jul 2026, 19:03 UTC266 views13 reactionsread 6 August 2026
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Photo, posted without a caption

5👍4👏3❤‍🔥1

31 Jul 2026, 19:02 UTC465 views23 reactionsread 6 August 2026
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Коллеги, напоминаем, что сегодня последний день регистрации на нашу конференцию по самым приятным ценам. Завтра оргвзнос за очное участие в конференции будет повышен 🚩 Рады представить вам прекрасный тандем спикеров, наших уважаемых коллег, на плечах которых стоит проект обучения групповому анализу САГА-Екатеринбург. Константин Леонидович Буланов, психоаналитик, групповой аналитик, супервизор, руководитель курса гр

10🔥8👏3👍1🥰1

30 Jul 2026, 18:52 UTC468 views15 reactionsread 6 August 2026
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Коллеги, продолжаем представлять гостей нашей конференции «Сны, фантазии и символическая коммуникация». Много внимания на конференции будет уделено размышлениям о том, как фантазии получают воплощение в художественном творчестве. Сегодня представляем вам анонс одного из докладов на эту тему 🎨 Ксения Барке — клинический психолог, психоаналитический психотерапевт, ассоциированный член МПА, член Ассоциации психосоциа

5👍5👏21🔥1😴1

Showing the 12 most recent of 20 posts we hold for @confpsychoanalysis. 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 — 71,049 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

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

“Грани бессознательного: сны, фантазии и символическая коммуникация” (@confpsychoanalysis), 692 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/confpsychoanalysis.

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.