Поговорили с Маратом Агиняном на вечную тему - таблетки невкусные глотать или разговоры по душам с психотерапевтом?😂 https://youtu.be/s-LBF-sAw2Y
❤28👍5👏3

Channel
@gentlepsydoc
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Telegram's recommendations · Cite this entry
13,368subscribers
+420 since we began measuring on 5 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
| Telegram ID | -1001702262718 |
|---|---|
| Type | Channel |
| Username | @gentlepsydoc |
| Description | Потанин Сергей Сергеевич Для личных сообщений - @sergei_ser (Отвечаю в будни с 10 до 18 МСК). Психиатр клиник "Нейро-пси"(МСК) и Бенедикт, кандидат медицинских наук Подробная информация на сайте https://potanindoc.ru Платной рекламы на канале нет |
| Created | 10 March 2022 — measured — cross-checked against a third-party dataset (ext.tg_channel) |
| First recorded | 6 August 2026 |
| Last confirmed live | 12 November 2026 |
| Measurements held | 61 |
| Confirmed unchanged | 1 time, most recently 12 November 2026 |
| On Telegram | t.me/gentlepsydoc |
Health & wellness — 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 11 September 2026 and assigned it the closest of 31 fixed categories, at 95% 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.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 12 Nov 2026, 10:16 | 13,368 | -9 |
| 10 Nov 2026, 11:59 | 13,377 | +7 |
| 8 Nov 2026, 22:08 | 13,370 | +1 |
| 7 Nov 2026, 13:18 | 13,369 | +8 |
| 6 Nov 2026, 11:37 | 13,361 | +12 |
| 5 Nov 2026, 10:29 | 13,349 | -2 |
| 4 Nov 2026, 11:56 | 13,351 | +3 |
| 3 Nov 2026, 13:28 | 13,348 | -2 |
| 2 Nov 2026, 12:09 | 13,350 | +4 |
| 1 Nov 2026, 14:49 | 13,346 | -3 |
| 30 Oct 2026, 14:10 | 13,349 | -1 |
| 29 Oct 2026, 14:40 | 13,350 | -2 |
| 27 Oct 2026, 11:56 | 13,352 | +3 |
| 26 Oct 2026, 13:40 | 13,349 | +1 |
| 25 Oct 2026, 13:09 | 13,348 | +3 |
| 24 Oct 2026, 16:00 | 13,345 | -1 |
| 22 Oct 2026, 12:17 | 13,346 | -7 |
| 21 Oct 2026, 02:19 | 13,353 | +5 |
| 19 Oct 2026, 21:06 | 13,348 | +3 |
| 18 Oct 2026, 19:21 | 13,345 | first reading |
46 posts held, back to 23 June 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 72 pages of Telegram’s post history, 20 posts per page.
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.
| Window | Rolling 30 days · latest post in window 14 November 2026 |
|---|---|
| Posts held | 46 (23 June 2026 – 14 November 2026) |
| Views total | 61,720 |
| Reactions total | 1,072 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 14 Nov 2026, 20:47 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.
Lifetime counters from Telegram’s own channel header, read 14 November 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.
Measured directly from 1 video 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.
3,311 reactions across 45 posts, in 33 distinct kinds. The most used accounts for 52.9% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 1,752 | 52.9% | |
| 🔥 | 656 | 19.8% | |
| 👍 | 451 | 13.6% | |
| 💯 | 96 | 2.90% | |
| 👏 | 93 | 2.81% | |
| ❤🔥 | 67 | 2.02% | |
| 🙏 | 35 | 1.06% | |
| 🤔 | 22 | 0.664% | |
| 😱 | 20 | 0.604% | |
| 🤝 | 18 | 0.544% | |
| 😨 | 17 | 0.513% | |
| 😢 | 16 | 0.483% | |
| ⚡ | 10 | 0.302% | |
| 👌 | 10 | 0.302% | |
| 👀 | 8 | 0.242% | |
| 🎄 | 7 | 0.211% | |
| 🌚 | 3 | 0.091% | |
| 🍓 | 3 | 0.091% | |
| 💔 | 3 | 0.091% | |
| 😁 | 3 | 0.091% | |
| 13 further kinds | 21 | 0.634% |
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 46 of the 46 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 3,385 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 46 most recent posts we hold, published 23 June 2026 to 14 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.
Telegram’s own ‘edited’ marker: 7 of 18 posts held from the last 30 days (38.9%) 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).
Поговорили с Маратом Агиняном на вечную тему - таблетки невкусные глотать или разговоры по душам с психотерапевтом?😂 https://youtu.be/s-LBF-sAw2Y
❤28👍5👏3
Книги по пятницам. Сергей Шаргунов. Попович. Снова совет увидел на канале писателя Дмитрия Данилова, потом уже узнал, что эта книга-победитель разных литературных премий, и есть за что. Роман про сына священника, подростка, сложное взросление в такой семье, конфликт с обществом, даже со своим телом. Написано хорошо, но темы поднимаются такие, что порой читать сложновато из-за самого смысла, а не текста. Но все …
❤31👍7🤔1
Как отличить псевдонауку от нормальной науки? На примере метилфолата при депрессии Алгоритм одной из соцсетей подкинул мне аккаунт нутрициолога (видимо, чисто чтобы меня побесить), который продвигает метилфолат вообще от всего, в том числе от депрессии. Схема типичная: сомнительные анализы, фирменные БАДы за сотни тысяч рублей и обязательная ссылка на «науку». Что он пишет в посте? «В кембриджском исследовании в г…
🔥40❤29👍16👀1
Что все же эффективнее для аугментации антидепрессантов при депрессии - препараты или плацебо? Недавний сетевой метаанализ сравнил пять атипичных антипсихотиков, одобренных для аугментации при большом депрессивном расстройстве. https://jamanetwork.com/journals/jamapsychiatry/article-abstract/2848529 Луматеперон оказался самым эффективным антипсихотиком для аугментации антидепрессантов. Но если заглянуть в отдельны…
❤37👍16🔥8😱4
В чём проблема тамоксифена и антидепрессантов? Тамоксифен — пролекарство. Его главный активный метаболит, эндоксифен, образуется при участии фермента печени CYP2D6. Пароксетин, флуоксетин и бупропион ингибируют активность этого фермента, из-за чего эндоксифена становится меньше. При этом антидепрессанты таким пациенткам показаны часто: при депрессии, тревоге и для лечения приливов. Какая позиция российской инструкц…
❤43👍18🔥8😢2
Проблема диагностических критериев гипомании В таблице приведены критерии гипомании по разным классификациям, и на мой взгляд они крайне расплывчатые и субъективные. У нас и так на 14 день ровно в полночь плохое настроение превращается в психическое расстройство (депрессию), а тут вообще "несколько дней". Взялось это не с потолка, наблюдательные исследования действительно показали, что у пациентов с подтвержденны…
👍59❤40🔥15👏13
Что-то в комментариях зачастили с вопросами про ноотропы, вот запись видео на эту тему. Это заседание Совета молодых учёных Российского общества психиатров, где обсуждаются исследования ноотропов. Лекцию читает Валерия Сергеевна Куликова, на тот момент ординатор, а теперь уже успешно практикующий врач психиатр https://youtu.be/fQ7dXLMLafI
❤49👍13🌚3
Posted without readable text
🔥23❤12👍3
Рад порекомендовать конференцию, где выступает много уважаемых коллег. Участие бесплатное
🎄7🔥4👻2
Пока я в отпуске (привет из Иерусалима) напомню про один из важных постов, которые часто пересылаю в ответ на вопрос что делать с набором веса на антипсихотиках. Там ссылка на гайдлайн и мой перевод алгоритма на русский https://t.me/gentlepsydoc/575
❤74🔥24👏21😁3👍2
Опубликована запись моей бесплатной лекции для врачей про практические аспекты назначения антипсихотиков. https://rutube.ru/video/10c0b4fbb1ba935b0a179d3b2df45f50/?r=a Прочитал ее в рамках работы фонда Порт доверия https://port-of-trust.org/
❤67🔥23👏10👍1
Уважаемые подписчики! Коллеги из клиники Нейропси, с которыми я вместе работаю и которым доверяю, запускают очный тренинг навыков диалектической поведенческой терапии (ДБТ). Если вам сложно справляться с интенсивными эмоциями, импульсивностью, конфликтами в отношениях или вы сталкиваетесь с самоповреждающим поведением, рекомендую обратить внимание на этот тренинг. ДБТ особенно актуальна для людей с ПРЛ, а также мо…
❤28🔥15🤔1
Showing the 12 most recent of 46 posts we hold for @gentlepsydoc. 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.
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
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.
Named by 15 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.
Named by
Channels on the register whose posts name this channel's handle.
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.
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.
This channel appears in 16 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
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 12 November 2026 — this entry's latest reading, not the date you are reading this.
“Gentle_Psy_Doc” (@gentlepsydoc), 13,368 subscribers as measured 12 November 2026. Telegram Register, tgregister.com/channel/gentlepsydoc.
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.