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 why it has no browse page of its own yet.
Growth
33 measurements spanning 51 days, net +353. 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 48,948–49,418 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 33
Measured (UTC)
Subscribers
Change
26 Sept 2026, 09:19
49,364
+205
19 Sept 2026, 09:58
49,159
+19
16 Sept 2026, 21:17
49,140
+95
14 Sept 2026, 23:19
49,045
-21
13 Sept 2026, 07:20
49,066
-3
11 Sept 2026, 08:01
49,069
+46
8 Sept 2026, 13:15
49,023
-7
5 Sept 2026, 10:38
49,030
+24
3 Sept 2026, 10:58
49,006
-20
2 Sept 2026, 09:03
49,026
+1
1 Sept 2026, 05:54
49,025
-16
31 Aug 2026, 04:48
49,041
-4
30 Aug 2026, 05:47
49,045
+3
28 Aug 2026, 02:17
49,042
+40
26 Aug 2026, 22:46
49,002
-8
25 Aug 2026, 21:34
49,010
-5
24 Aug 2026, 22:04
49,015
-22
23 Aug 2026, 06:43
49,037
-7
21 Aug 2026, 15:44
49,044
+7
20 Aug 2026, 16:17
49,037
first reading
Engagement
74 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 108 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
15.5%
avg views ÷ 49,364 subscribers
Avg views / post
7,660
41 posts measured
Reaction rate
3.14%
reactions ÷ views · ER floor
Posts in window
41
of 74 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 28 September 2026
Posts held
74 (16 July 2026 – 28 September 2026)
Views total
314,030
Reactions total
9,850
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
28 Sept 2026, 18:42 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
≈1,220
Videos
≈96
Links
≈1,130
Lifetime counters from Telegram’s own channel header, read 28 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.
Video runtime
4m 35s
Average length
2m 18s
Measured directly from 2 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
18,319 reactions across 74 posts, in 32 distinct kinds. The most used accounts for 66.5% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
12,180
66.5%
👍
2,209
12.1%
🔥
2,129
11.6%
❤🔥
461
2.52%
👏
203
1.11%
🙏
147
0.802%
🎉
138
0.753%
😭
110
0.6%
😁
102
0.557%
💯
90
0.491%
💔
74
0.404%
🤣
73
0.398%
🕊
61
0.333%
👎
57
0.311%
🤔
46
0.251%
🥰
42
0.229%
😢
35
0.191%
🤝
25
0.136%
🤯
25
0.136%
custom 5212937893193990383
23
0.126%
12 further kinds
89
0.486%
Custom emoji. One row above is a Telegram custom emoji, which the public preview renders as an element carrying only a numeric id — no character, and no image we can reach. The id is printed as-is rather than substituted with a look-alike glyph, because a stand-in would be our invention showing where a measurement should be. The count beside it is Telegram’s.
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 74 of the 74 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 18,319 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 74 most recent posts we hold, published 16 July 2026 to 28 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
52
across the posts below
Posts paid on
22
of 74 we hold a reading for · 30%
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 74 most recent posts we hold for this entry, published 16 July 2026 to 28 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.
В пятом потоке группы по СДВГ осталась пара мест.
Если вы давно думаете, что пора бы внести немного порядка в хаос вашей СДВГ-шной жизни, — это вот прям шанс.
Восемь встреч по пятницам, с 9 октября по 27 ноября, ведут психолог и психиатр, в группе пятнадцать человек.
Последний день собеседований — 4 октября. Дальше набор закрываем.
Следующий поток будет не раньше февраля.
Подробности (кому подойдет, кому - нет, ск…
Всем утренний сентябрьский хой!
Как погодка у вас? Переменчивая? Зато понедельник на месте, надёжный как смерть и налоги, а значит — спрашивайте меня о чём хотите.
Как всегда, выберу три вопроса и отвечу на них в среду, если психиатрический боги будут ко мне благосклонны.
Просьба прежняя: покороче, пожалуйста. Если вопрос разрастается до размеров инструкции к стиральной машине на двенадцати языках, то вместе с мои…
Кажется, про родинки и загар знают все, но мало кто ответит, как именно выглядит опасное образование, а вокруг темы меланомы и рака кожи существует огромнейшее количество мифов.
Сегодня у меня в гостях врач-дерматоонколог, кандидат медицинских наук Дмитрий Бейнусов. Мы разобрали по косточкам буквально всё👇
Как на самом деле выглядят меланома и рак кожи, в чем между ними разница и что опаснее? А если родинка красная…
Может ли РАС делать человека манипулятором
ВОПРОС: Может ли РАС ухудшать характер человека? Делать его манипулятором и абьюзером?
#сычев_отвечает
Нет. Манипуляции и РАС совместимы особенно плохо: чтобы манипулировать, нужно точно моделировать чужое внутреннее состояние и пользоваться им в своих целях — а это как раз то, что при аутизме даётся тяжело или не дается совсем.
Но вы, судя по всему, спрашиваете не из лю…
Как принять, что скоро стану бабушкой
ВОПРОС: Как принять, что скоро стану бабушкой?
#сычев_отвечает
Вы написали «принять». Не «как подготовиться» — принять. Значит, радость у вас либо смешана с другими эмоциями, либо её пока нет вовсе, и вы уже успели решить, что с вами что-то не так.
Для начала — вы в порядке. Смешанные чувства при переходе в эту роль описаны в исследованиях как вещь совершенно обычная, особенно…
Что делать, если при деменции вернулся бред
ВОПРОС: У мамы предположительно болезнь Альцгеймера (или другая деменция в начальной/средней стадии), критики к своему состоянию нет, часто повторяет один вопрос по три раза, трудности с подбором слов, но в быту обслуживает себя сама. Полгода назад начался бред ущерба. Назначили кветиапин, дома давать регулярно не получалось (два-три дня пьёт, дальше отказывается, боится,…
Мы привыкли думать только о том, что родители формируют ребёнка (и это правда так, тут спорить ни к чему). Норвежские исследователи решили сходить в другом направлении и посмотреть, может ли ребёнок менять траекторию жизни своих родителей. Работа вышла в PNAS, и материал там основательный: около 40 тысяч семейных троек «мать — отец — ребенок» с генотипированием всех участников, из большой норвежской когорты MoBa.
Ло…
СДВГ онлайн-группа: донабор на пятый поток
Мы с командой пребываем в некотором изумлении — четвертый поток (это который стратует 23-го) собрался за неделю, но заявки продолжали приходить.
Поэтому мы решили не ждать зимы и открыли набор на пятый поток сейчас.
Старт занятий пятого потока: 9 октября, занятия будут по пятницам в 19:00 по Мск.
Для кого это
Это группа для тех, кому трудно организовывать повседневную ж…
Всем утреннее осеннее нихао, мои неунывающие!
Сегодня, кстати, Всемирный день борьбы с болезнью Альцгеймера. Вспоминаю о нём каждый год, и каждый раз думаю, что лучший способ его отметить — позвонить бабушке или дедушке, если они у вас есть, и спросить, как дела. Выслушать всё с подробностями, никуда не торопясь. А потом можно возвращаться к понедельнику, который никто не отменял и спросить бородатого меня о чём хот…
Благая весть, друзья! Легендарная разрушительница мифов о вредной еде, пищевой технолог, мой хороший друг и просто рептилоид Ольга Косникова после 1,5 лет молчания расконсервировала свой ютубчик — чему я лично очень рад!
Делюсь с вами её разбором ароматизаторов. Что это вообще такое, из чего они состоят, почему «натуральный» не значит безопаснее и как один и тот же аромат по-разному работает в разных продуктах. Там …
Showing the 12 most recent of 74 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
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 25 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.
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 · 28,590 Telegram ranks this channel #2 of 89 here — alongside 88 others — read 9 September 2026
Психотерапевт Наталья Зайцева @psy_factum · 23,914 Telegram ranks this channel #3 of 92 here — alongside 91 others — read 17 September 2026
Шура-док @schura_doc · 25,537 Telegram ranks this channel #7 of 94 here — alongside 93 others — read 18 September 2026
ДОКТОР ХАН @doctorkhanstanislav · 56,920 Telegram ranks this channel #9 of 97 here — alongside 96 others — read 23 August 2026
Доктор Гребешкова @doctor_grebeshkova · 34,366 Telegram ranks this channel #10 of 83 here — alongside 82 others — read 3 September 2026
Пей таблетки! | MedIQLab @mediq · 65,887 Telegram ranks this channel #11 of 93 here — alongside 92 others — read 21 August 2026
Голова медузы🪼 @golovameduza · 23,559 Telegram ranks this channel #12 of 80 here — alongside 79 others — read 18 September 2026
Купрум @tolkosprosit · 43,038 Telegram ranks this channel #13 of 95 here — alongside 94 others — read 28 August 2026
Психотерапевт Прибытков @pribytkov_psy · 40,194 Telegram ranks this channel #15 of 97 here — alongside 96 others — read 30 August 2026
Дерматология Быканова @dr_bykanov · 62,568 Telegram ranks this channel #15 of 97 here — alongside 96 others — read 21 August 2026
Психиатр Онлайн @psychiatristonline · 20,690 Telegram ranks this channel #16 of 90 here — alongside 89 others — read 26 September 2026
Доктор Утин @doctorutin · 24,543 Telegram ranks this channel #20 of 97 here — alongside 96 others — read 16 September 2026
coroner's word 💀 @sudmed_words · 21,540 Telegram ranks this channel #21 of 90 here — alongside 89 others — read 23 September 2026
MarysStories @Marys_stories · 31,657 Telegram ranks this channel #22 of 92 here — alongside 91 others — read 5 September 2026
Чистые Когниции @pure_cognitions · 37,861 Telegram ranks this channel #22 of 96 here — alongside 95 others — read 31 August 2026
Где моё внимание? @pure_cognitions_adhd · 27,519 Telegram ranks this channel #23 of 97 here — alongside 96 others — read 11 September 2026
Страшная химия @chemistrybyolga · 32,845 Telegram ranks this channel #23 of 91 here — alongside 90 others — read 4 September 2026
Василиса Бутусова @stillvasilisa · 24,637 Telegram ranks this channel #26 of 95 here — alongside 94 others — read 16 September 2026
Alter @psyalter_ru · 26,803 Telegram ranks this channel #30 of 92 here — alongside 91 others — read 11 September 2026
Бородатый не пробовал | доктор Бурлаков @doc_burlakov · 34,435 Telegram ranks this channel #36 of 94 here — alongside 93 others — read 3 September 2026
dnevnikdoctora @dnevnikdoctora · 45,050 Telegram ranks this channel #36 of 98 here — alongside 97 others — read 27 August 2026
ImmunoBee @immunobee1 · 104,358 Telegram ranks this channel #36 of 95 here — alongside 94 others — read 16 August 2026
Дерматоонколог Бейнусов @dmitry_beinusov · 31,529 Telegram ranks this channel #44 of 95 here — alongside 94 others — read 6 September 2026
Гастроэнтеролог ХАРИТОНОВ Андрей Геннадьевич @ag_kharitonov · 58,905 Telegram ranks this channel #46 of 99 here — alongside 98 others — read 22 August 2026
This channel appears in 32 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 26 September 2026 — this
entry's latest reading, not the date you are reading this.
“Доктор Сычев” (@dr_sychev), 49,364 subscribers as measured 26 September 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.