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Channel

Психоанализ | Татьяна Копаева

@kopaeva_t_psy

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

291subscribers

+1 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-1002155446716
TypeChannel
Username@kopaeva_t_psy
CreatedBetween 1 June 2024 and 30 September 2024— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live15 August 2026
Measurements held3
Confirmed unchanged1 time, most recently 15 August 2026
On Telegramt.me/kopaeva_t_psy

Growth

290291290.56 August 2026 — 290 subscribers6 August 2026 — 290 subscribers15 August 2026 — 291 subscribers6 August 202615 August 2026
3 measurements spanning 8 days, net +1. 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 290–291 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
15 Aug 2026, 00:42291+1
6 Aug 2026, 23:02290no change
6 Aug 2026, 19:30290first reading

Engagement

11 posts held, back to 3 June 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
29.3%
avg views ÷ 291 subscribers
Avg views / post
85.3
7 posts measured
Reaction rate
19.1%
reactions ÷ views · ER floor
Posts in window
7
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 5 August 2026
Posts held11 (3 June 20265 August 2026)
Views total597
Reactions total114
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken6 Aug 2026, 23:02 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

247 reactions across 11 posts, in 15 distinct kinds. The most used accounts for 33.2% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
8233.2%
🔥7731.2%
❤‍🔥3313.4%
👏176.88%
👍93.64%
🤩83.24%
💔52.02%
🕊52.02%
31.21%
🍾20.81%
💯20.81%
10.405%
🎉10.405%
😘10.405%
🙏10.405%

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 247reactions 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 3 June 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.

Telegram Stars

Stars received
1
across the posts below
Posts paid on
1
of 11 we hold a reading for · 9%
Most on one post
1
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @kopaeva_t_psy. 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 3 June 2026 to 5 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

5 Aug 2026, 12:35 UTC46 views13 reactionsread 6 August 2026

Мне не плохо. Мне никак. Бывает состояние, которое трудно назвать плохим и именно поэтому о нём почти никому не рассказывают. Ничего ведь не случилось. Работа на месте, дома всё в порядке, здоровье не подводит, отпуск был в июне. Вы встаёте, делаете что положено, к вечеру устаёте - ну, такая, обычная взрослая жизнь. Просто в какой-то момент выясняется, что внутри ровно. Не грустно, не тревожно, не больно. Ровно. Ку

8🔥5

22 Jul 2026, 14:48 UTC109 views20 reactionsread 6 August 2026
File

О насилии, молчании и реакции, за которую не нужно себя винить Решила записать для вас свой первый подкаст (буду рада за обратную связь, как вам вообще такой формат). Хочу поговорить о сексуализированном насилии над детьми и подростками. Я не буду подробно описывать само насилие, но понимаю, что даже разговор о нём может быть тяжёлым. 📍Если в какой-то момент вы почувствуете, что вам становится слишком трудно, мож

93👍3💔3👏1🔥1

22 Jul 2026, 14:48 UTC90 views12 reactionsread 6 August 2026
Video

Недавно я смотрела интервью Ксении Собчак с Любовью Аксёновой. В нём она рассказывает о сексуализированном домогательстве, которое пережила в семнадцать лет. Делюсь с вами отрывком, а все интервью можно посмотреть здесь.

6👍3💔2👏1

21 Jul 2026, 11:40 UTC92 views21 reactionsread 6 August 2026
Photo

Иногда симптом - единственный язык, который у человека остался. В книге Мари Кардиналь «Слова, которые исцеляют» тело героини буквально говорит за неё: кровотечением, паникой, пОтом, страхом смерти, пугающей галлюцинацией - глазом, который всё время за ней наблюдает. Мари называет это внутренним «Нечто». У него ещё нет смысла, истории, слов. Оно просто захватывает тело. Анализ постепенно приводит её к тому, о чём

11❤‍🔥4🔥3💯2👏1

20 Jul 2026, 18:58 UTC85 views18 reactionsread 6 August 2026
Photo

«Хрустальный» Дальше будут спойлеры Много раз попадалась реклама этого сериала, все как-то не было времени на него. Так уж случилось, что тема моей диссертации заложила дальнейший интерес к исследованию последствий травмы детского наcилия. Продолжаю вникать и анализировать многое. Вот, сегодня досмотрела этот сериал. Хочу поделиться мыслями и мини разбором) «Хрустальный» это история о том, как детектив ищет ман

7🔥6👏21❤‍🔥1🙏1

18 Jul 2026, 13:03 UTC89 views12 reactionsread 6 August 2026

Сначала я пережила моменты, служившие мне щитом от внутреннего Нечто, как будто я хотела доказать ему и самой себе, что я не всегда была больной, что во мне существовал скрытый зародыш, который я могла обнаружить и из которого я могла бы развиваться. Я старалась уточнить, как и почему я стала душевнобольной. Действуя таким образом, я обнаружила сильную личность .................... Итак, мое бессознательное дост

6👍3🔥3

18 Jul 2026, 07:59 UTC86 views18 reactionsread 6 August 2026

Мне потребовались целых четыре года с момента начала анализа, очень большое количество сеансов, для того чтобы понять, что я готова пройти психоанализ. До этого я просто лечилась так, как будто это было какое-то колдовство, своего рода ловкая магия, прикрывающая меня, чтобы я не попала в психиатрическую клинику. Я напрасно продвигалась вперед, я не могла убедить себя, что тот простой факт, что я говорю, окончательн

🔥86❤‍🔥4

14 Jul 2026, 05:56 UTC126 views26 reactionsread 6 August 2026

Друзья! Делюсь с вами важным видео по мотивам моей диссертации! Разговор на очень непростую тему инцеста. Мы с коллегами решили говорить об этом открыто. Потому что молчание вокруг этой темы часто становится частью самой травмы. И часто понимание того, что происходит с человеком после такого опыта, может помочь заметить, поддержать и вовремя обратиться за помощью. Если вам кажется, что это видео может быть кому-т

11🔥7❤‍🔥5👏3

14 Jul 2026, 05:50 UTC82 views36 reactions1 Starread 6 August 2026
Forwarded from @psychobattlesVideo

Опубликовал интервью "Инцест. Психоаналитическое исследование". Мои гости: Светлана Федорова, психоаналитик, супервизор магистерской программы НИУ ВШЭ, кандидат SPP и IPA. Татьяна Копаева, психоаналитический психотерапевт, магистр психологии, соавтор работы "Семья как место травмы. Психоаналитический взгляд на инцест". (второй соавтор - Алина Грибова, психоаналитический психотерапевт, магистр психологии). Об это

🔥21🤩8🕊5👏2

30 Jun 2026, 17:00 UTC164 views33 reactionsread 6 August 2026
Photo

Недавно был мой выпускной в магистратуре НИУ ВШЭ. И я поймала себя на мысли, что мне совсем не хочется рассказывать про диплом. Хочется рассказать про то, что осталось внутри после этих двух лет. Почти вся учёба проходила онлайн. Я жила в другом городе, подключалась к занятиям через экран, а встречи с группой можно было пересчитать по пальцам. Но это удивительно… расстояние вообще не помешало почувствовать себя ча

15❤‍🔥8🔥6🍾2🎉1😘1

3 Jun 2026, 10:34 UTC245 views38 reactionsread 6 August 2026
Photo

Я защитилась. И до сих пор выдыхаю🫠 На прошлой неделе я закончила магистратуру ВШЭ — программу «Психоанализ и психоаналитическая психотерапия». Моя диссертация была на тему: «Семья как место травмы: психоаналитический взгляд на инцест и его последствия на примере фильма “Торжество”». Во время доклада в аудитории стояла гробовая тишина. Потому что есть слова, после которых невозможно сразу продолжить как ни в чём н

🔥17❤‍🔥11👏73

Showing the 11 most recent of 11 posts we hold for @kopaeva_t_psy. 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 — 155,079 of 1,480,688entries 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 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.

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

“Психоанализ | Татьяна Копаева” (@kopaeva_t_psy), 291 subscribers as measured 15 August 2026. Telegram Register, tgregister.com/channel/kopaeva_t_psy.

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.