Personal blog — 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 90% 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
31 measurements spanning 43 days, net +30. 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 10,964–11,065 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 31
Measured (UTC)
Subscribers
Change
18 Sept 2026, 01:58
11,006
+7
15 Sept 2026, 19:58
10,999
-2
14 Sept 2026, 03:57
11,001
+3
12 Sept 2026, 13:40
10,998
+1
10 Sept 2026, 15:16
10,997
-12
7 Sept 2026, 12:16
11,009
-2
4 Sept 2026, 15:59
11,011
-5
2 Sept 2026, 23:34
11,016
-8
1 Sept 2026, 19:44
11,024
-1
31 Aug 2026, 18:14
11,025
-8
30 Aug 2026, 21:27
11,033
-5
29 Aug 2026, 18:38
11,038
-15
28 Aug 2026, 19:02
11,053
+5
26 Aug 2026, 23:15
11,048
-4
26 Aug 2026, 00:59
11,052
+6
25 Aug 2026, 02:17
11,046
+7
23 Aug 2026, 16:48
11,039
+2
22 Aug 2026, 05:59
11,037
+4
19 Aug 2026, 21:37
11,033
+3
18 Aug 2026, 23:17
11,030
first reading
Engagement
16 posts held, back to 30 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 41 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
15.3%
avg views ÷ 11,006 subscribers
Avg views / post
1,680
2 posts measured
Reaction rate
10.5%
reactions ÷ views · ER floor
Posts in window
2
of 16 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 2 September 2026
Posts held
16 (30 July 2026 – 2 September 2026)
Views total
3,359
Reactions total
354
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
3 Sept 2026, 02:15 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
663 reactions across 13 posts, in 2 distinct kinds. The most used accounts for 93.1% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
617
93.1%
👍
46
6.94%
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 15 of the 16 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 734 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 16 most recent posts we hold, published 30 July 2026 to 2 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
1
across the posts below
Posts paid on
1
of 15 we hold a reading for · 7%
Most on one post
1
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @imatrip. 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 16 most recent posts we hold for this entry, published 30 July 2026 to 2 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.
Для меня сейчас все встало на паузу, все что было важно потеряло смысл. Тем временем жизнь идет, надо платить за сьемную квартиру, покупать таблетки, кормить питомцев и так далее. А мне необходимо лечь в НИИПЗ и после этого сразу переехать на северный кавказ (этот город я видеть больше не могу). Пока не могу заниматься вообще ничем, рядом есть человек, который следит чтобы я поела, помылась и приняла таблетки вовремя…
Мой близкий друг покончил с собой и сейчас я пытаюсь с этим справиться. Возможно отъеду в больничку или пропаду на неопределенный срок пока буду разбираться с последствиями и горем, которое до меня еще в полной мере не дошло.
Пропущенные рекламы и договоренности я компенсирую когда смогу вернуться, приношу свои извинения.
Курение и препараты
Однажды пациент с шизофренией попал в стационар, где продолжал принимать клозапин и курил сигареты. После стабилизации состояния он вернулся домой и снова перешёл на привычный ему вейп. Вскоре появились выраженные побочные эффекты клозапина.
На первый взгляд странно, ведь никотин никуда не исчез, но на самом деле все сложнее. Разберёмся, что произошло.
Сигаретный дым
Главный механизм изменения…
ИСПОЛЬЗОВАНИЕ ТЕХНИКИ ДПДГ (EMDR) В РАМКАХ ДРУГИХ ТЕРАПЕВТИЧЕСКИХ ПОДХОДОВ
Здесь вы можете прочитать что это такое и как проходит типичная сессия, для простоты я придумал метафору: десенсибилизация и проработка движениями глаз счищает эмоциональный налет на воспоминании или предполагаемой пугающей ситуации
Приведу пример: вы пришли на КПТ с запросом «однажды я напердел в лифте при людях, все тактично сделали вид ч…
С ростом сложности кейса (глубины травматичного опыта) сетов ДПДГ нужно больше, а в случае ПТСР или кПТСР, когда клиента насиловали, избивали, он был при смерти, он не может пережить утрату, еле выжил в аварии, устранял последствия катастроф и видел кровь кишки мясо, участвовал в боевых действиях, суть не меняется, просто вся терапия ведется в формате ДПДГ и применяются более строгие протоколы, и естественно, это зан…
В общем, я сделал материал про то, как люди с биполярным расстройством живут в социуме с точки зрения нейронауки.
Я не придумал, как сделать его простым для восприятия, и я не буду делать его простым для восприятия.
Но материал интересный, я опубликовал его на своём сайте.
Последний раздел, про "гипотезу двойной эмпатии", я придумал сам, и это непроверенная информация.
Ты детский психолог. Ты знаешь теорию
Но когда ребёнок молчит на сессии, когда родители саботируют работу, когда случай выходит за рамки учебника — ты один на один с этим.
Так не должно быть.
В канале @detskimpsihologam — 2 000 практикующих специалистов. Техники, которые разбираются на реальных случаях. Возможности повышения квалификации. Истории коллег, из которых учишься больше, чем из конференций.
Это не теоре…
Василий Генералов сбежал из страны, возбуждено уголовное дело
Внимание, это не учебная тревога, не мечты и не фантазии. Два года назад я публично рассказал о том, что происходит в клинике "ПланетаМед" - и вот, наконец-то мы добились результата.
В СМИ появилась информация о том, что от действий Генералова пострадали сотни семей, вслед за этим - официальное заявление Следственного Комитета о том, что на некоего врача…
Свет науки сквозь туман: внутренний критик 🤪
Привет, F00–F99. В прошлом посте мы говорили о том, как стигма окутывает общество и институты. Но у неё есть еще один, самый скрытый и болезненный уровень. Когда человек долго находится в тумане предрассудков, его психологическая защита падает. Он соглашается с жестокими мифами и обращает их против самого себя. В слайдах разобраны механизмы стигмы по модели Патрика Корриг…
Showing the 12 most recent of 16 posts we hold for @imatrip. 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 8 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.
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.
Психиатрия & Нейронауки @psy_and_neuro · 22,326 Telegram ranks this channel #6 of 92 here — alongside 91 others — read 21 September 2026
Клинический психоанализ @clinicalpsychoanalysis · 36,573 Telegram ranks this channel #7 of 92 here — alongside 91 others — read 1 September 2026
Психиатр Онлайн @psychiatristonline · 20,690 Telegram ranks this channel #20 of 90 here — alongside 89 others — read 26 September 2026
Чистые Когниции @pure_cognitions · 37,861 Telegram ranks this channel #59 of 96 here — alongside 95 others — read 31 August 2026
Доктор Сычев @dr_sychev · 49,364 Telegram ranks this channel #60 of 94 here — alongside 93 others — read 26 August 2026
This channel appears in 5 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.
“F00-F99” (@imatrip), 11,006 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/imatrip.
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.
