Health & wellness — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 21 August 2026 and assigned it the closest of 31 fixed categories, at 98% 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
62 measurements spanning 97 days, net +428. 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 48,917–49,653 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 62
Measured (UTC)
Subscribers
Change
10 Nov 2026, 23:37
49,439
+37
9 Nov 2026, 08:57
49,402
+3
7 Nov 2026, 23:47
49,399
+29
6 Nov 2026, 23:20
49,370
+4
5 Nov 2026, 19:59
49,366
+15
4 Nov 2026, 18:26
49,351
-4
3 Nov 2026, 21:19
49,355
-17
2 Nov 2026, 18:17
49,372
-10
1 Nov 2026, 19:09
49,382
-7
31 Oct 2026, 22:31
49,389
-11
30 Oct 2026, 20:36
49,400
-1
29 Oct 2026, 19:06
49,401
+3
28 Oct 2026, 15:40
49,398
-12
27 Oct 2026, 18:50
49,410
-1
26 Oct 2026, 18:58
49,411
-23
25 Oct 2026, 18:41
49,434
-6
24 Oct 2026, 17:11
49,440
-8
23 Oct 2026, 15:34
49,448
-11
22 Oct 2026, 17:07
49,459
-15
21 Oct 2026, 12:05
49,474
first reading
Engagement
138 posts held, back to 16 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 198 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
13.1%
avg views ÷ 49,439 subscribers
Avg views / post
6,460
40 posts measured
Reaction rate
2.88%
reactions ÷ views · ER floor
Posts in window
40
of 138 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 11 November 2026
Posts held
138 (16 July 2026 – 11 November 2026)
Views total
258,210
Reactions total
7,448
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
12 Nov 2026, 14:23 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
≈1,250
Videos
≈98
Links
≈1,180
Lifetime counters from Telegram’s own channel header, read 12 November 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.
Video runtime
6m 30s
Average length
2m 10s
Measured directly from 3 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
32,584 reactions across 136 posts, in 39 distinct kinds. The most used accounts for 64.4% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
20,991
64.4%
🔥
4,101
12.6%
👍
3,454
10.6%
❤🔥
1,077
3.31%
💔
812
2.49%
👏
401
1.23%
😁
185
0.568%
🙏
181
0.555%
🤔
175
0.537%
🤣
165
0.506%
😭
161
0.494%
💯
139
0.427%
🎉
138
0.424%
🕊
76
0.233%
🤝
76
0.233%
👎
62
0.19%
🥰
57
0.175%
😱
50
0.153%
😢
49
0.15%
💘
34
0.104%
19 further kinds
200
0.614%
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 136 of the 138 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 32,584 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 138 most recent posts we hold, published 16 July 2026 to 11 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 Stars
Stars received
62
across the posts below
Posts paid on
29
of 136 we hold a reading for · 21%
Most on one post
21
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @dr_sychev. 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 138 most recent posts we hold for this entry, published 16 July 2026 to 11 November 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.
Recent posts
Telegram’s own ‘edited’ marker: 5 of 40 posts held from the last 30 days (12.5%) 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).
Как справиться со страхом перед важным разговором
ВОПРОС: Добрый день! Как побороть страх перед каким-либо важным шагом или разговором? Спасибо
#сычев_отвечает
Совсем убрать этот страх не получится, да и не нужно. Перед важным делом мозг и должен поднимать тревогу, так он готовит тело к нагрузке. Проблемы начинаются, когда мы из-за страха не делаем, то что собирались. Каждый раз, когда вы переносите разговор на по…
У меня вторичная структурная диссоциация: что делать с этой информацией
ВОПРОС: Психиатр рассказал о вторичной структурной диссоциации. Стоит ли об этом сообщать психотерапевту, или это просто модель, которая описывает КПТСР, и это не столь важно? Как вообще относиться к этой информации?
#сычев_отвечает
Ну да, это модель, а не диагноз, но для терапии она важна, поэтому сообщить стоит.
Теорию структурной диссоциаци…
Можно ли выбраться из депрессии самостоятельно
ВОПРОС: Можно ли без помощи специалиста, а только на самоанализе и самопомощи вылезти из депрессии и проработать все свои травмы? Мне кажется, у меня получилось, но возможно, это иллюзия😃 как это проверить.
#сычев_отвечает
Можно (очень тянет пошутить про океан, но я держусь). Депрессия нередко проходит и без лечения. По данным метаанализа, среди людей, которые ждали л…
Депрессия во время беременности встречается чаще, чем принято думать: по разным оценкам, её переживает примерно каждая восьмая женщина, а в некоторых группах заметно больше. И при этом она остаётся одним из самых замалчиваемых состояний. Вроде бы ты должна быть счастлива, порхать там, преисполняться, сиять изнутри, а тебе плохо, и стыдно в этом признаться даже врачу.
Ученые вроде как пришли уже к согласию в том, что…
Здравствуйте, мои стойкие и несгибаемые!
На дворе 9 ноября, такая хитрая точка года, когда до Нового года уже вроде бы недалеко, но мандарины покупать ещё неприлично (хотя когда нас это останавливало), а солнце видели последний раз где-то в октябре и то мельком. Понедельник при этом пришёл строго по расписанию. Так что спрашивайте меня о чём хотите.
Три вопроса, как обычно, выберу и отвечу на них в среду.
Просьба …
Эмоциональные качели, от которых уже тошнит — и того, кто качается, и тех, кто на это дело смотрит. В такой реальности часто живут люди с пограничным расстройством личности (ПРЛ), биполярным расстройством и просто очень высокой чувствительностью.
Ощущения так себе: партнёр чувствует себя как сапёр на минном поле, а ты выгораешь от чувства вины и страха, что вот сейчас тебя просто пошлют. Плюс друзья, работа, коллеги…
Ребзи, давно не приносил я вам подборки каналов моих крутых коллег по докмеду. Исправляюсь! Вот еще одна партия тех, кого я сам с удовольствием читаю и вам рекомендую:
Вера Серова — амбассадор доказательной детской (и немного взрослой) ортопедии. В своём канале развенчивает мифы, делится записями бесплатных эфиров и подкастов, клиническими случаями, а также немного опытом многодетной мамы. Тут её разбор клинических…
Чувствительность к отвержению — это диагноз?
ВОПРОС: Здравствуйте! Является ли RSD (чувствительность к отвержению) диагнозом в настоящее время, лечится ли? И как найти плюсы в этом баге?))
#сычев_отвечает
RSD — это сокращение от английского rejection sensitive dysphoria, по-русски «дисфория чувствительности к отвержению», то есть сильная душевная боль в ответ на отказ или критику. Ни в DSM-5, ни в МКБ-11 такого диа…
Как перестать залипать в рилсы
ВОПРОС: Кирилл, после вашей лекции возник вопрос. Зная, что неконтролируемый просмотр рилсов вызван поиском дофамина (а дофамин-это предвкушение), как самостоятельно помочь себе не смотреть их так много? Заменить на книги или еще что-то? Даже после чтения интересных книг, все равно могу смотреть рилсы. Но не хочу)
#сычев_отвечает
Книги рилсы не вытесняют, и сила воли тут ни при чём. …
Что сказать коллеге, у которого горе
ВОПРОС: Здравствуйте. Подскажите пожалуйста, что говорить людям столкнувшимся с тяжёлой утратой или диагнозом, если вы не родные и не близкие, но проводите много времени в одном помещении (на работе). Игнорировать "слона в комнате" - не вариант. Что говорить нельзя мы уже знаем. А вот что-то типа small tolk. И, хотелось бы, прям конкретные фразы. Для родного человека я слова нахо…
Всем хой!
Фотографии с наших осенних лекций готовы! Мы собрали их в альбомы в группе Neformat во ВКонтакте, так что ищите себя, сохраняйте, публикуйте и отмечайте нас.
Петербург, 23 октября: https://vk.ru/album-211220152_312163468
Москва, 27 октября: https://vk.ru/album-211220152_312164754
За эти кадры спасибо двум прекрасным фотографам. В Петербурге снимал Саша (@ego_people в Инсте*), в Москве Соня (@sofianedzelsk…
Исследование: молодые мужчины связывают секс с тревогой, контролем и стыдом
Большинство работ о сексуальном насилии изучают пострадавших женщин или, реже, осуждённых мужчин (и понятно почему). Обычные молодые мужчины и то, что они переживают в близости по согласию, почти никого не интересовали. При этом в публичном представлении о них прочно держится образ человека, который считает, что ему все женщины должны.
Джос…
❤153🤔31🤷♂12❤🔥5👎4
Showing the 12 most recent of 138 posts we hold for @dr_sychev. 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.
Posts edited after publishing
@dr_sychev edited 3 posts after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.
An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.
First edit seen
9 September 2026
Most recent edit
23 September 2026
Posts recorded as deleted after publishing
We recorded 1 post on @dr_sychev as deleted — posts this register held that were missing from the channel’s public page on two separate reads, taken from different network addresses at least an hour apart.
A deletion is not wrongdoing. This register can see that a post it held is no longer on the channel’s public page, and when — not why. Expired ad placements, reposts, rotating links and corrections all look the same. This is a count of recorded detections, not an exact total: it misses deletions we could not see, because only a post we held and later re-read inside the page can be seen to go, and it may include a small number of wrong records. How this is measured.
First seen missing
12 October 2026
Most recent seen missing
12 October 2026
Median time before seen missing
11 days
Seen missing in the last 30 days
0
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 31 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. The 24 listed below are the most frequent namers; the rest are counted above but not each listed.
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.
Handles this channel named that no longer answer
Dead references
1
handles named in this channel’s posts, vacant today
Evidenced gone
1
we ourselves saw one of these resolve, at some point
Never seen alive
0
vacant every time we have ever looked
@dr_sychev named 1 handle that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all. A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
Evidenced gone
We ourselves saw each of these resolve to a real page at some point before it went vacant — a genuine, evidenced change, not an inference from absence.
@ego_people named in 5 posts, 4 November 2026 – 12 November 2026 · confirmed gone 4 November 2026 (two independent sightings — see how we confirm a dead handle)evidenced
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 26 August 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.
Доктор Галеева @doctor_galeeva · 28,842 Telegram ranks this channel #2 of 89 here — alongside 88 others — read 9 September 2026
Психотерапевт Наталья Зайцева @psy_factum · 23,669 Telegram ranks this channel #3 of 92 here — alongside 91 others — read 17 September 2026
Шура-док @schura_doc · 25,331 Telegram ranks this channel #7 of 94 here — alongside 93 others — read 18 September 2026
ДОКТОР ХАН @doctorkhanstanislav · 57,312 Telegram ranks this channel #9 of 97 here — alongside 96 others — read 23 August 2026
Доктор Гребешкова @doctor_grebeshkova · 33,868 Telegram ranks this channel #10 of 83 here — alongside 82 others — read 3 September 2026
Пей таблетки! | MedIQLab @mediq · 65,586 Telegram ranks this channel #11 of 93 here — alongside 92 others — read 21 August 2026
Голова Медузы🪼 @golovameduza · 23,454 Telegram ranks this channel #12 of 80 here — alongside 79 others — read 18 September 2026
СПРАВИТЬСЯ ПРОЩЕ @handlingbettercenter · 20,141 Telegram ranks this channel #13 of 85 here — alongside 84 others — read 28 September 2026
Купрум @tolkosprosit · 42,773 Telegram ranks this channel #13 of 95 here — alongside 94 others — read 28 August 2026
Психотерапевт Прибытков @pribytkov_psy · 40,400 Telegram ranks this channel #15 of 97 here — alongside 96 others — read 30 August 2026
Дерматология Быканова @dr_bykanov · 62,233 Telegram ranks this channel #15 of 97 here — alongside 96 others — read 21 August 2026
Психиатр Онлайн @psychiatristonline · 20,803 Telegram ranks this channel #16 of 90 here — alongside 89 others — read 26 September 2026
Краснощеков | Детская психиатрия @doc_kras · 19,309 Telegram ranks this channel #18 of 97 here — alongside 96 others — read 4 October 2026
Доктор Утин @doctorutin · 24,625 Telegram ranks this channel #20 of 97 here — alongside 96 others — read 16 September 2026
coroner's word 💀 @sudmed_words · 21,231 Telegram ranks this channel #21 of 90 here — alongside 89 others — read 23 September 2026
MarysStories @Marys_stories · 31,247 Telegram ranks this channel #22 of 92 here — alongside 91 others — read 5 September 2026
Чистые Когниции @pure_cognitions · 38,902 Telegram ranks this channel #22 of 96 here — alongside 95 others — read 31 August 2026
Где моё внимание? @pure_cognitions_adhd · 28,474 Telegram ranks this channel #23 of 97 here — alongside 96 others — read 11 September 2026
Страшная химия @chemistrybyolga · 33,686 Telegram ranks this channel #23 of 91 here — alongside 90 others — read 4 September 2026
Василиса Бутусова @stillvasilisa · 24,595 Telegram ranks this channel #26 of 95 here — alongside 94 others — read 16 September 2026
Alter @psyalter_ru · 26,498 Telegram ranks this channel #30 of 92 here — alongside 91 others — read 11 September 2026
Бородатый не пробовал | доктор Бурлаков @doc_burlakov · 34,226 Telegram ranks this channel #36 of 94 here — alongside 93 others — read 3 September 2026
dnevnikdoctora @dnevnikdoctora · 45,187 Telegram ranks this channel #36 of 98 here — alongside 97 others — read 27 August 2026
ImmunoBee @immunobee1 · 103,910 Telegram ranks this channel #36 of 95 here — alongside 94 others — read 16 August 2026
This channel appears in 34 seed channels' Telegram-generated recommendation lists in total, of which the 24 where it ranks highest are shown above. 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 10 November 2026 — this
entry's latest reading, not the date you are reading this.
“Доктор Сычев” (@dr_sychev), 49,439 subscribers as measured 10 November 2026. Telegram Register, tgregister.com/channel/dr_sychev.
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.