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Channel

Постпсихиатрия

@postpsychiatry

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Telegram's recommendations · Cite this entry

6,342subscribers

+142 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1001406846417
TypeChannel
Username@postpsychiatry
Created5 January 2020 — measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded7 August 2026
Last confirmed live11 November 2026
Measurements held27
Confirmed unchanged1 time, most recently 11 November 2026
On Telegramt.me/postpsychiatry

Topic

Other / unclassifiable — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 12 September 2026 and assigned it the closest of 31 fixed categories, at 49% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and the other topics.

Growth

6,1976,3496,2737 August 2026 — 6,200 subscribers7 August 2026 — 6,200 subscribers7 August 2026 — 6,201 subscribers10 August 2026 — 6,197 subscribers13 August 2026 — 6,203 subscribers17 August 2026 — 6,202 subscribers20 August 2026 — 6,212 subscribers23 August 2026 — 6,208 subscribers26 August 2026 — 6,216 subscribers28 August 2026 — 6,212 subscribers1 September 2026 — 6,223 subscribers5 September 2026 — 6,233 subscribers10 September 2026 — 6,245 subscribers14 September 2026 — 6,259 subscribers19 September 2026 — 6,275 subscribers29 September 2026 — 6,298 subscribers6 October 2026 — 6,312 subscribers13 October 2026 — 6,316 subscribers16 October 2026 — 6,325 subscribers18 October 2026 — 6,335 subscribers22 October 2026 — 6,341 subscribers25 October 2026 — 6,349 subscribers28 October 2026 — 6,348 subscribers31 October 2026 — 6,341 subscribers3 November 2026 — 6,337 subscribers7 November 2026 — 6,341 subscribers11 November 2026 — 6,342 subscribers6,3427 August 202611 November 2026
27 measurements spanning 96 days, net +142. 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 6,174–6,372 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 27
Measured (UTC)SubscribersChange
11 Nov 2026, 00:546,342+1
7 Nov 2026, 08:256,341+4
3 Nov 2026, 21:496,337-4
31 Oct 2026, 23:566,341-7
28 Oct 2026, 17:316,348-1
25 Oct 2026, 06:506,349+8
22 Oct 2026, 06:096,341+6
18 Oct 2026, 16:086,335+10
16 Oct 2026, 01:496,325+9
13 Oct 2026, 00:506,316+4
6 Oct 2026, 15:576,312+14
29 Sept 2026, 11:166,298+23
19 Sept 2026, 00:216,275+16
14 Sept 2026, 06:416,259+14
10 Sept 2026, 16:176,245+12
5 Sept 2026, 05:416,233+10
1 Sept 2026, 00:566,223+11
28 Aug 2026, 22:146,212-4
26 Aug 2026, 06:486,216+8
23 Aug 2026, 13:556,208first reading

Engagement

45 posts held, back to 11 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 14 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
19.4%
avg views ÷ 6,342 subscribers
Avg views / post
1,230
18 posts measured
Reaction rate
3.04%
reactions ÷ views · ER floor
Posts in window
18
of 45 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 6 November 2026
Posts held45 (11 July 2026 – 6 November 2026)
Views total22,136
Reactions total672
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken6 Nov 2026, 13:36 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
1h 06m
Average length
16m 36s

Measured directly from 4 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

1,398 reactions across 45 posts, in 34 distinct kinds. The most used accounts for 45.3% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤63345.3%
🔥25318.1%
😁16711.9%
👍755.36%
🤣513.65%
💔332.36%
❤‍🔥221.57%
💯221.57%
🤔161.14%
🌚120.858%
👏120.858%
💘120.858%
😢100.715%
✍70.501%
🏆70.501%
👀70.501%
👻70.501%
🥰70.501%
🙏60.429%
🐳50.358%
14 further kinds342.43%

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 45 of the 45 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 1,398 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 45 most recent posts we hold, published 11 July 2026 to 6 November 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

Telegram’s own ‘edited’ marker: 5 of 18 posts held from the last 30 days (27.8%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).

6 Nov 2026, 09:45 UTC346 views10 reactionsread 6 November 2026

Не парьте[сь]. https://www.forbes.ru/healthcare/571045-vred-oceviden-mediki-napravat-v-pravitel-stvo-predlozenie-o-polnom-zaprete-vejpov?ysclid=mw4s5qcbes375017384

❤7💯3

Signed Marat Aghinyan

4 Nov 2026, 15:06 UTC717 views17 reactionsread 6 November 2026

Позовите меня, когда нейрорелигиозные танцы с бубнами вокруг дофаминового костра прекратятся, а https://youtube.com/shorts/6ww31wmy2xE?si=M6jzyXxE5MhMi7pi

❤12🤷‍♀3💘1🤔1

Signed Marat Aghinyan

1 Nov 2026, 16:24 UTC≈1,160 views25 reactionsread 6 November 2026
Photo

Блаженны счастливые, и несчастные, и те, кто дни свои на счастливые и несчастливые не делит. Марат Агинян и Евгения Тимонова в новой интеллектуальной оргии! Присоединяемся! https://youtu.be/KALnbONPMcg?si=1c2MaAMpeXuQMrgi

❤20👍3😁2

Signed Marat Aghinyan

1 Nov 2026, 10:56 UTC≈1,080 views121 reactionsread 6 November 2026

#нетсилпройтимимо А сегодня 5 лет, как я трезвая! Побочные эффекты: Начала регулярно заниматься спортом. Похудела на 20+ кг (набранные из-за алко). Развелась. Переехала. Устойчивая ремиссия по БАР (без фармы под контролем врача). Родила ребенка. Снова похудела на 20+ кг (набраны в беременность). Трезвость - лучший выбор, ни разу не пожалела. За это время я пережила: манифестацию БАР, начало СВО, смерть близких, н…

❤78🔥33🥰4👍3👏3

Signed Marat Aghinyan

31 Oct 2026, 07:03 UTC983 views17 reactionsread 6 November 2026
Photo

Кто что читает, книгоголики?

❤13✍2💘1🆒1

Signed Marat Aghinyan

30 Oct 2026, 15:29 UTC972 views22 reactionsread 6 November 2026
Photo

"О любви: она притягательна, священна, страшна, смешна, жалка и омерзительна". / Леонид Липавский как это так любовь не долготерпит? не милосердствует? не верит, не надеется? ёоо-моёооо...

❤14👀7💘1

Signed Marat Aghinyan

30 Oct 2026, 08:41 UTC958 views17 reactionsread 6 November 2026
Photo

«24 августа. Четыре месяца или больше была игнавия, и, как всегда, я это понял только к концу, когда увидел, что это не просто игнавия, а великая игнавия. Иногда казалось, что она проходила, я пробовал писать, знал, что надо, но через день-два снова бросал и ничего не мог делать. Неделя, как она прошла. Еще до этого была одна ночь, когда казалось, что она прошла, но затем снова вернулась...» Яков Друскин ignavia (ла…

❤14💘1🥰1😁1

Signed Marat Aghinyan

29 Oct 2026, 13:09 UTC≈1,180 views51 reactionsread 6 November 2026

6 лет! Как же летит время!) https://t.me/omsumom/757

🔥34❤11👏5👍1

Signed Marat Aghinyan

29 Oct 2026, 08:38 UTC≈1,100 views30 reactionsread 6 November 2026
Photo

С психиатром Алексеем Прибытковым бессмысленно спорить. Потому что по любому профессиональному вопросу он дает взвешенное, корректно аргументированное, технично начиненное нужными оговорками экспертное мнение. Неинтересно быть настолько надежным ;) Как, например, в этом посте про антидепрессанты и зависимость: https://t.me/pribytkov_psy/1717

❤17💯8🔥4😁1

Signed Marat Aghinyan

28 Oct 2026, 10:17 UTC≈1,090 views14 reactionsread 6 November 2026
Photo

Гваттари, уже тогда заправский предводитель, берется за дело решительно и использует навыки дзюдоиста для подавления любых поползновений к насилию. [Он] пристально следит за некоторыми больными и активно вмешивается в их жизнь, особенно тех, кто хочет отлежаться в своих постелях. Он заставляет их выходить из комнаты и заниматься деятельностью согласно распорядку дня. Гваттари смягчает свои методы, когда оказывается …

❤7😁7

Signed Marat Aghinyan

27 Oct 2026, 15:48 UTC≈1,130 views25 reactionsread 6 November 2026
Photo

Делёз, всегда страшившийся дискуссий, которые казались ему бесплодным обменом мнениями, противопоставляет им практику разговоров, которые, наоборот, пробуждают внутреннюю полемичность высказывания. Их диалог возникает из самой настоящей аскезы: «Когда один говорит, другой замолкает. Это не только закон, необходимый для того, чтобы понять, услышать друг друга, но это означает, что один постоянно предоставляет себя в р…

👍14❤6😁4👏1

Signed Marat Aghinyan

27 Oct 2026, 10:59 UTC≈1,300 views30 reactionsread 6 November 2026
Video

Да, ноЯБРЬ!

❤23🔥4💘2🤯1

Signed Marat Aghinyan

Showing the 12 most recent of 45 posts we hold for @postpsychiatry. 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.

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 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.

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.

Appears in Telegram’s recommendations for other channels

The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.

Психотерапевт Прибытков
@pribytkov_psy · 40,400
Telegram ranks this channel #20 of 97 here — alongside 96 others — read 30 August 2026
СПРАВИТЬСЯ ПРОЩЕ
@handlingbettercenter · 20,141
Telegram ranks this channel #27 of 85 here — alongside 84 others — read 28 September 2026
Психиатр Онлайн
@psychiatristonline · 20,803
Telegram ranks this channel #27 of 90 here — alongside 89 others — read 26 September 2026
Краснощеков | Детская психиатрия
@doc_kras · 19,309
Telegram ranks this channel #34 of 97 here — alongside 96 others — read 4 October 2026
Психиатрия & Нейронауки
@psy_and_neuro · 22,555
Telegram ranks this channel #54 of 92 here — alongside 91 others — read 21 September 2026
Чистые Когниции
@pure_cognitions · 38,902
Telegram ranks this channel #61 of 96 here — alongside 95 others — read 31 August 2026

This channel appears in 6 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.

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 11 November 2026 — this entry's latest reading, not the date you are reading this.

“Постпсихиатрия” (@postpsychiatry), 6,342 subscribers as measured 11 November 2026. Telegram Register, tgregister.com/channel/postpsychiatry.

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.