Читаю статьи, книги и исследования в области психотерапии, работаю врачом-психотерапевтом в рехабе и пытаюсь понять, как устроена психическая жизнь.
Написать автору: @jenny_boya
https://gosuslugi.ru/snet/67a380cadc130259d5a12ef6
Created
1 July 2016 — measured — cross-checked against a third-party dataset (ext.tg_channel)
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 9 September 2026 and assigned it the closest of 31 fixed categories, at 94% 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 why it has no browse page of its own yet.
Growth
35 measurements spanning 44 days, net -371. 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 30,566–31,049 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 35
Measured (UTC)
Subscribers
Change
18 Sept 2026, 11:57
30,622
-8
16 Sept 2026, 02:56
30,630
-9
14 Sept 2026, 09:59
30,639
-9
12 Sept 2026, 16:20
30,648
-18
10 Sept 2026, 17:18
30,666
-23
7 Sept 2026, 12:38
30,689
-16
4 Sept 2026, 15:40
30,705
-14
3 Sept 2026, 00:53
30,719
-4
1 Sept 2026, 23:26
30,723
-21
1 Sept 2026, 00:46
30,744
-9
31 Aug 2026, 03:38
30,753
-11
30 Aug 2026, 00:25
30,764
-10
29 Aug 2026, 03:08
30,774
-5
28 Aug 2026, 06:13
30,779
-11
27 Aug 2026, 06:29
30,790
-32
26 Aug 2026, 03:43
30,822
-5
25 Aug 2026, 07:12
30,827
-2
24 Aug 2026, 06:07
30,829
-14
22 Aug 2026, 15:26
30,843
-41
21 Aug 2026, 09:24
30,884
first reading
Engagement
19 posts held, back to 17 February 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 71 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
8.35%
avg views ÷ 30,622 subscribers
Avg views / post
2,560
5 posts measured
Reaction rate
1.63%
reactions ÷ views · ER floor
Posts in window
5
of 19 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
Window
Rolling 30 days · latest post in window 22 September 2026
Posts held
19 (17 February 2026 – 22 September 2026)
Views total
12,787
Reactions total
208
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
23 Sept 2026, 10:00 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
Photos
≈4,080
Videos
≈1,240
Links
≈3,040
Lifetime counters from Telegram’s own channel header, read 23 September 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.
Reaction mix
973 reactions across 18 posts, in 26 distinct kinds. The most used accounts for 37.6% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
366
37.6%
👍
164
16.9%
👏
101
10.4%
🔥
84
8.63%
💯
73
7.50%
❤🔥
64
6.58%
🎉
25
2.57%
😁
20
2.06%
🤯
11
1.13%
🥰
11
1.13%
🤝
9
0.925%
😍
8
0.822%
🤣
8
0.822%
🤡
6
0.617%
😱
5
0.514%
💊
4
0.411%
🖕
3
0.308%
👌
2
0.206%
🥴
2
0.206%
👀
1
0.103%
6 further kinds
6
0.617%
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 18 of the 19 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 973 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 19 most recent posts we hold, published 17 February 2026 to 22 September 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
22
across the posts below
Posts paid on
5
of 18 we hold a reading for · 28%
Most on one post
15
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @doctors_memoirs. 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 19 most recent posts we hold for this entry, published 17 February 2026 to 22 September 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.
Как и обещала, совсем скоро у нас будет возможность снова встретиться в уютной библиотеке по естественным наукам РАН.
Я предлагаю поговорить о психотерапии как о лечении, о психологии как о науке, и о том, во что превращается психология и психотерапия за пределами клинических кейсов и профессиональной этики. И чем определяется этот предел.
Вспомним историю этой науки. Расскажу о направлениях и методах, а так же о «п…
Вирусная съемка формирования нейронной связи завораживает. Примерно так выглядит каждая новая мысль. Но нейрон не думает — он просто возбуждается или остается в покое. У него нет представления о том, что мы существуем. Ни намерений, ни воспоминаний и внутреннего разговора. И всё же каждая мысль, которую мы когда-либо обдумывали, каждое чувство, которое переживали, и каждое решение, которое считали своим, возникли бла…
Первое сентября часто ассоциируется с днем, в который принято начинать что-то новое: учебный год, рабочий год, новые проекты и, вероятно, нового себя — собранного, отдохнувшего и очень мотивированного. Действительно, трудно отказаться от этой привычки, когда она закреплялась все детство почти у каждого из нас. В чудный праздник «День знаний» заодно наступает конец («День боли») отпусков, каникул и той части года, в к…
Сама по себе рекомендация пройти не меньше десяти сессий не выглядит ни странной, ни неэтичной. Одну-две онлайн-консультации вообще не поворачивается язык назвать психотерапией, но это консультации, которые также могут быть полезны. В разных подходах длительность работы обсуждается или предполагается заранее — у каждой модальности свои рамки. Но в любом случае клиническая логика определяет и модальность, и продолжите…
Хочется немного смягчить такую строгую бинарность. Здесь еще интересно, что не только результаты финиша показали, что пациенты с психиатрическим диагнозом достигли его медленнее, сколько сам динамический процесс — по мере накопления усталости адаптивные возможности спортсменов «с диагнозом» расходились с адаптивными возможностями спортсменов, которые не обращались за помощью.
Отсюда можно столько веток размышлений п…
Гиппократу зачем-то приписали скрепу диетологов: «ты — то, что ты ешь». Но это высказывание принадлежит ученику Гегеля, Людовику Фейербаху. Это он в духе антропологического материализма так изящно связал душу и тело посредством пищи. И я вот смотрю на этот свой канал, и хочется перефразировать великого в «ты — то, что ты читаешь». Судя по тому, что я пишу и с какой периодичностью, очевидно, что «врач-лечебник» помер …
Принято думать, что точка отсчета психотерапевтического лечения начинается, когда пациент впервые садится в кресло напротив терапевта. Но исследование Сигал Зильча-Мано опровергает этот миф: изменения начинатся гораздо раньше — до встречи, и даже до знакомства.
Исследователи наблюдали за людьми, которые обращались за психотерапией по поводу депрессии. Они оценивали не только состояние пациентов, но и то, как менялос…
Wildberries и Союз производителей БАД к пище подписали меморандум о сотрудничестве. Вместе они будут разрабатывать механизмы контроля качества БАД и честные рыночные практики.
В этом сотрудничестве очевиден реальный шаг к порядку, а не банальная формальность. А так же действительная польза для потребителей: рынок БАД станет прозрачнее. А Wildberries и Союз разработают отраслевые стандарты и будут следить за их приме…
Тяжело выпускаться психотерапевтам.
Мало того, что мы на протяжении двух лет по всем законам групповой динамики создавали для себя пространство, где каждый смог найти место и раскрыться, а это было непросто! Мы придумывали и проводили группы чтения, писали сценарии, снимали фильмы, плакали друг другу в бесконечные голосовые из-за трудностей в работе, записывали подкасты для подготовки к экзаменам. Описывали клиничес…
Вчера все-таки увиделись с дорогими читателями!
Несмотря на (или благодаря) маленькую осень за окном, у нас получилась такая камерная и уютная встреча. Честно скажу, очень беспокойно было выступать перед аудиторией за пределами профессионального сообщества. Но буквально первые минут пять, благодаря вашему живому интересу. Дебютировала в наилучшей компании, это точно!
Спасибо вам большое за ваше внимание, и вопросы,…
👍27❤🔥12🥰8❤5
Showing the 12 most recent of 19 posts we hold for @doctors_memoirs. 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.
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
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.
Channels Telegram recommends alongside this one
Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.
Read from Telegram’s recommendation API, most recently 7 September 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.
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.
Злой доктор Филатов @doc_Filatov · 28,121 Telegram ranks this channel #4 of 86 here — alongside 85 others — read 10 September 2026
Психология @PsyEducation · 59,345 Telegram ranks this channel #25 of 95 here — alongside 94 others — read 22 August 2026
Операционная @Operation_med · 27,119 Telegram ranks this channel #29 of 71 here — alongside 70 others — read 11 September 2026
This channel appears in 3 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 18 September 2026 — this
entry's latest reading, not the date you are reading this.
“Записки врача” (@doctors_memoirs), 30,622 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/doctors_memoirs.
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.