Татьяна Анатольевна Стецкая,
к.м.н., невролог, сомнолог,цефалголог
📥 @Elena_pr_ins — ассистент по сотрудничеству, запись на консультации
Регистрация в перечне РКН:
https://knd.gov.ru/license?id=67331c486b493b723ca7cec9®istryType=bloggersPermission
Created
Between 1 December 2018 and 31 July 2022 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
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 100% 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 50 days, net -289. 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 32,679–33,059 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 33
Measured (UTC)
Subscribers
Change
25 Sept 2026, 07:02
32,723
-34
17 Sept 2026, 07:18
32,757
-11
15 Sept 2026, 07:21
32,768
-11
13 Sept 2026, 18:38
32,779
-14
12 Sept 2026, 03:20
32,793
-6
9 Sept 2026, 20:18
32,799
-20
6 Sept 2026, 12:40
32,819
-18
4 Sept 2026, 04:41
32,837
-8
2 Sept 2026, 18:29
32,845
-7
1 Sept 2026, 19:35
32,852
-4
31 Aug 2026, 17:38
32,856
-15
29 Aug 2026, 17:28
32,871
-9
28 Aug 2026, 18:25
32,880
-9
27 Aug 2026, 21:13
32,889
-18
26 Aug 2026, 19:39
32,907
-8
25 Aug 2026, 22:47
32,915
-2
24 Aug 2026, 21:36
32,917
-12
23 Aug 2026, 07:18
32,929
-9
20 Aug 2026, 14:43
32,938
-4
19 Aug 2026, 14:52
32,942
first reading
Engagement
38 posts held, back to 3 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 85 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
43.2%
avg views ÷ 32,723 subscribers
Avg views / post
14,100
13 posts measured
Reaction rate
1.69%
reactions ÷ views · ER floor
Posts in window
13
of 38 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 19 September 2026
Posts held
38 (3 July 2026 – 19 September 2026)
Views total
183,800
Reactions total
3,102
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
26 Sept 2026, 07:06 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
643
Videos
74
Links
98
Lifetime counters from Telegram’s own channel header, read 26 September 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.
Video runtime
57s
Average length
57s
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.
Reaction mix
13,111 reactions across 38 posts, in 13 distinct kinds. The most used accounts for 79.9% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
10,476
79.9%
👍
1,486
11.3%
🔥
693
5.29%
👏
220
1.68%
💯
128
0.976%
❤🔥
52
0.397%
👌
21
0.16%
💔
18
0.137%
💘
5
0.038%
🤝
5
0.038%
💊
3
0.023%
⚡
2
0.015%
😍
2
0.015%
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 38 of the 38 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 13,111 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 38 most recent posts we hold, published 3 July 2026 to 19 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
122
across the posts below
Posts paid on
17
of 38 we hold a reading for · 45%
Most on one post
103
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @doctor_steckaya. 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 38 most recent posts we hold for this entry, published 3 July 2026 to 19 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.
Два интенсивных приёмных дня в Москве позади. Как всегда были интересные случаи от вестибулярной мигрени до наследственной моторно-сенсорной нейропатии. Но особенно много было пациентов с головной болью. Поэтому хочу поделиться некоторыми тезисами, которые я озвучивала на приёме:
💡 Триптаны НЕ помогают устранить зрительную ауру, поскольку не действуют на кортикальную деполяризацию. Их принимают в самом начале присту…
❌«Вы его слишком разбаловали».
❌«Она способная, просто не хочет стараться».
❌«Посмотрите на других детей, они все слушаются и не ленятся».
Эти фразы родители детей с СДВГ слышат чаще всего от учителей, родственников, случайных прохожих. Каждый раз они, словно грубая пощечина бьют по самому уязвимому месту - родительской самооценке.
В науке есть специальный термин "courtesy stigma". Дословного перевода в русскоязычн…
Осенью многие люди сталкиваются с меланхолией: солнца становится меньше, небо затягивается серой мглой и настроение моментально реагирует на погоду. Дополнительный стресс приносит собственное отражение в зеркале, вдруг пигментация на лице становится особенно отчётливой. Пятна, которые копились в глубине кожи всё лето, решают проявиться именно в сентябре.
В этот период не только мы чувствуем себя уязвимыми, но и кожн…
Итак, диагноз, который можно заподозрить при наличии вышеуказанных жалоб — синдром обструктивного апноэ сна (СОАС).
Простыми словами, это состояние, при котором во сне верхние дыхательные пути периодически сужаются или полностью перекрываются, и воздух не может нормально проходить.
В основе СОАС лежат повторяющиеся эпизоды:
🔺️гипопноэ (частичное перекрытие), когда воздух всё же проходит, но в недостаточном объёме.…
Сегодня для вас загадка по мотивам приема.
Для чего невролог может измерять окружность шеи, уточнять о частоте ночных мочеиспусканий, дневной сонливости и утренних головных болях?
Что можем подозревать?
P.S.Правильный ответ опубликую попозже
Елене Ивановне слегка за 40, она работает бухгалтером на крупном предприятии. Целый день за компьютером, к вечеру голова раскалывается.
⠀
– Странно, я же только упаковку обезболивающих покупала, а уже закончились – подумала про себя женщина и немедленно направилась в ближайшую аптеку.
⠀
Домашние запасы пополнились ещё одной яркой упаковкой анальгетика.
Через 2 недели Елена Ивановна, снова не обнаружила таблеток, …
5 ДИАГНОЗОВ, КОТОРЫЕ Я НЕ СТАВЛЮ ДЕТЯМ
Врачи часто используют "короткие аббревиатуры" , которые на деле не являются болезнями. Разбираем самые популярные "диагнозы-призраки".
🚫 1. ВСД (Вегето-сосудистая дистония)
Это не болезнь, а симптомокомплекс (головная боль, усталость, тревога).
По сути, это мусорная корзина для всего подряд. Конкретного лечения у ВСД нет, потому что непонятно, что лечить.
🚫 2. ЗПР (Задержка…
⁉️"Если ботулотоксин — один из сильнейших ядов в природе, значит, и лечение им должно быть опасным?"
На днях я наткнулась на этот миф и, заинтересовавшись, собрала около десятка самых частых заблуждений о ботулинотерапии.
Хотя ботокс ассоциируется у многих только с разглаживанием морщин, он довольно активно применяется в неврологии. Например, при спастичности после инсультов, ДЦП, блефароспазме и даже мигрени.
✅️О…
Сентябрь - самый коварный месяц для жирной и комбинированной кожи. Утром еще может быть душно и влажно, как летом, из-за чего сальные железы работают активнее и появляется жирный блеск. А к вечеру становится прохладно, воздух суше, и защитный барьер первым страдает от этих температурных качелей.
В итоге получается парадокс: кожа блестит в Т-зоне и при этом есть ощущение стянутости с шелушениями по периферии. Легкие …
🍁Перевернула календарь, а там... День рождения. Сегодня я стала на год старше✨️
В праздничный день обычно все поздравляют меня, но я хочу нарушить традицию и сказать слова благодарности:
💕Семье — за то, что вы терпите мою колючесть после семичасового приёма, моё вечное «я устала или мне надо еще поработать», всегда меня поддерживаете и любите безусловно.
💕Друзьям — за свет и тепло, за то, что вы знаете меня разную…
🧠 5 неочевидных симптомов головной боли у школьников и дошкольников
Обязательно ознакомьтесь с ними, ведь многие мои пациенты рассказывали, что именно после прочтения в блоге о таких маскирующихся симптомах наконец-то понимали, в каком направлении искать причину.
1. Резкая раздражительность без видимой причины
Ребёнок вдруг становится резко капризным, а потом через час жалуется на головную боль. Исследования показ…
Что делать, чтобы учеба в сентябре не превратилась в стресс.
Как я вам и обещала, постепенно готовлю рекомендации для разных возрастных групп. Сегодня поговорим про начальную школу.
✅ Повторите с детьми азы
За лето у детей не происходит стирания памяти, хоть родителям и учителям иногда кажется обратное😁. Знания, закреплённые в долговременной памяти никуда не исчезают, но из-за отсутствия регулярного повторения, у ре…
❤204👏18👍8
Showing the 12 most recent of 38 posts we hold for @doctor_steckaya. 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
@doctor_steckaya 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
21 August 2026
Most recent edit
27 August 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 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 4 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.
Dr.Anshina @DrAnshina · 398,031 Telegram ranks this channel #2 of 71 here — alongside 70 others — read 12 August 2026
MAMA_SINKA @mama_sinka · 40,932 Telegram ranks this channel #3 of 96 here — alongside 95 others — read 29 August 2026
ДОКТОРБЛОГЕР @doctorbloger_live · 39,740 Telegram ranks this channel #9 of 72 here — alongside 71 others — read 1 September 2026
САША ЖИХАРЕВА 🍃🌞 ТЕРАПЕВТИЧЕСКИЕ СКАЗКИ И ИГРЫ 📇 МОСКВА @sasha_zhihareva · 33,170 Telegram ranks this channel #42 of 74 here — alongside 73 others — read 4 September 2026
Доктор Неешпапа 🫁 /doctor_neeshpapa/ @doctor_neeshpapa · 32,035 Telegram ranks this channel #58 of 96 here — alongside 95 others — read 5 September 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 25 September 2026 — this
entry's latest reading, not the date you are reading this.
“Невролог Стецкая Татьяна | ️doctor_steckaya 💊🩺” (@doctor_steckaya), 32,723 subscribers as measured 25 September 2026. Telegram Register, tgregister.com/channel/doctor_steckaya.
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.