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Channel

ПСИХОЛОГ ДЛЯ ГЛУХИХ/СЛАБОСЛЫШАЩИХ ТАТЬЯНА ШИШКИНА

@deafpsychoanalysis_rus

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

1,393subscribers

+2 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 1,000–3,162.

Register entry

Telegram ID-1001756409884
TypeChannel
Username@deafpsychoanalysis_rus
CreatedBetween 1 December 2021 and 30 April 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live14 August 2026
Measurements held3
Confirmed unchanged1 time, most recently 14 August 2026
On Telegramt.me/deafpsychoanalysis_rus

Growth

1,3911,3931,3927 August 2026 — 1,391 subscribers7 August 2026 — 1,391 subscribers14 August 2026 — 1,393 subscribers7 August 202614 August 2026
3 measurements spanning 7 days, net +2. 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 1,391–1,393 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
14 Aug 2026, 21:461,393+2
7 Aug 2026, 22:171,391no change
7 Aug 2026, 15:261,391first reading

Engagement

13 posts held, back to 19 March 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
23.9%
avg views ÷ 1,393 subscribers
Avg views / post
333
1 post measured
Reaction rate
5.71%
reactions ÷ views · ER floor
Posts in window
1
of 13 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 1 August 2026
Posts held13 (19 March 20261 August 2026)
Views total333
Reactions total19
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Aug 2026, 22:17 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
12m 01s
Average length
2m 24s

Measured directly from 5 videos 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

182 reactions across 13 posts, in 9 distinct kinds. The most used accounts for 57.7% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
10557.7%
🔥2312.6%
🕊2011.0%
🙏137.14%
🎉84.40%
❤‍🔥52.75%
😍52.75%
👍21.10%
🥰10.549%

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 13 of the 13 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 182reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 13 most recent posts we hold, published 19 March 2026 to 1 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

1 Aug 2026, 13:19 UTC333 views19 reactionsread 7 August 2026
Video

Киноклуб 29.07.2026 Темой киноклуба с Полиной и Татьяной в июле стала одна из лучших советских и мировых лент "Иван Васильевич меняет профессию" - классика комедии Леонида Гайдая. Обсуждение шло насыщенно, мы постарались охватить все: основу фильма - пьесу М. Булгакова; особенности творческого метода Леонида Гайдая; непростой кастинг актеров на ключевые роли; восхищение красивыми актрисами, советскую моду от легенд

🔥96👍2🕊2

30 May 2026, 11:44 UTC≈1,050 views18 reactionsread 7 August 2026
Video

Киноклуб 27 мая 2026 Фильм "Матрица" 1999 года до сих пор будоражит умы любителей экзистенциальных вопросов: реальна ли окружающая нас реальность? Неудивительно, что запланированных трёх часов встречи оказалось мало! Добавочный час помог исчерпать весьма бурное обсуждение легендарной ленты Вачовски, а также поучаствовать в финальной психологической игре с синей и красной таблетками и обосновать свой выбор. За синюю

7🕊6❤‍🔥5

9 May 2026, 05:57 UTC596 views11 reactionsread 7 August 2026
Photo

Photo, posted without a caption

🙏7🕊4

5 May 2026, 17:19 UTC669 views9 reactionsread 7 August 2026
Photo

27-го мая с 19:00 до 22:00 в нашем киноклубе обсудим фильм Вачовски "Матрица" (1999). История хакера Нео, который в погоне за белым кроликом постепенно понимает, что его реальность на самом деле нереальна, произвела настоящую революцию в кино и в общей культуре. Авторы смогли подать сложные смыслы в захватывающей обертке сюжета, использовав разные жанры: научная фантастика, философская притча, боевик, киберпанк. Об

🔥54

30 Apr 2026, 15:38 UTC951 views11 reactionsread 7 August 2026
Video

Киноклуб 28 апреля 2026 года Так ли уж счастливы те, кто обнулил свою память о прошлых отношениях, или же сохранение всего нами пережитого - опыт, личностный рост и шанс проживать свою жизнь так, как хотелось бы? Вот о чем и были жаркие дискуссии на нашей встрече в киноклубе, посвященной разбору фильма "Вечное сияние чистого разума", к которому приложили руки удивительные люди в мире кинематографа: французский волше

11

30 Apr 2026, 10:29 UTC443 views8 reactionsread 7 August 2026

Добрый день! Вышел спецпроект МТС с Сашей Сулим — выпуск посвящен глухим и слабослышащим людям https://youtu.be/qPwahzCB6_8 Ролик приурочен к внедрению новой технологии МТС, о которой я освещала здесь. Приятного просмотра!

8

12 Apr 2026, 05:34 UTC638 views26 reactionsread 7 August 2026
Photo

С Великим Праздником вас! Радости, гармонии, добра, благополучия и мира! 🙏🌸❤️

17🙏6🕊3

4 Apr 2026, 11:34 UTC729 views7 reactionsread 7 August 2026
Forwarded from @representation_of_the_deafPhoto

28-го апреля с 19:00 до 22:00 в нашем киноклубе обсудим фильм Мишеля Гондри "Вечное сияние чистого разума" (2004). Фильм произвел фурор в 2005 году на Оскаре своим необычным повествованием и спустя двадцать лет по-прежнему остается актуальным высказыванием на тему любви и памяти. Рассмотрим с разных сторон головоломный сюжет, поговорим о памяти и влиянии ее на отношения. Кроме этого, проведем самоисследование с помо

5🔥2

2 Apr 2026, 11:50 UTC566 views7 reactionsread 7 August 2026
Photo

У нас для вас крутая новость!🤩 6 апреля — на сцене Покровка.театр мы покажем шедевр русской литературы - роман Салтыкова-Щедрина «Господа Головлевы» на русском жестовом языке! 🎙Особое звучание постановке придаст голос диктора - Варвары Ромашкиной. Для многих зрителей её голос давно стал символом наших спектаклей. Так что, если вы соскучились по ее озвучке - переходите ссылке 👉 БИЛЕТЫ В спектакле, как и в самом рома

5🔥2

26 Mar 2026, 16:49 UTC≈1,040 views14 reactionsread 7 August 2026
Video

Киноклуб 24.03.2026 Фильм "Мизери" (1990) Все мы знаем плодовитого Короля Ужасов - Стивена Кинга. По его книгам снято множество фильмов и сериалов. И только одна лента отличилась Оскаром, вернее, номинацию присудили обаятельнейшей и талантливейшей актрисе Кэйти Бейтс! Мы узнали, какие фобии имеются у Кинга, когда и как пришла ему идея написать книгу, как же сложно было искать главного героя, насколько сильно восхит

6🔥5🕊2🥰1

Showing the 12 most recent of 13 posts we hold for @deafpsychoanalysis_rus. 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 — 911,638 of 1,350,102entries 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

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.

“ПСИХОЛОГ ДЛЯ ГЛУХИХ/СЛАБОСЛЫШАЩИХ ТАТЬЯНА ШИШКИНА” (@deafpsychoanalysis_rus), 1,393 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/deafpsychoanalysis_rus.

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.