Как постепенно приучить ткани к массажу

Channel
Татьяна Курчина
@fithappymama
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Telegram's recommendations · Cite this entry
28,542subscribers
-395 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
Register entry
| Telegram ID | -1001574592172 |
|---|---|
| Type | Channel |
| Username | @fithappymama |
| Description | Школа омоложения с Татьяной Курчиной. Самомассаж , ФейсФитнес, упражнения, уход за лицом и телом. @TatianaKurchina - обратиться лично https://knd.gov.ru/license?id=673342216b493b723ca96b5b®istryType=bloggersPermission |
| Created | Between 1 August 2021 and 28 February 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 18 October 2026 |
| Measurements held | 41 |
| Confirmed unchanged | 1 time, most recently 18 October 2026 |
| On Telegram | t.me/fithappymama |
Topic
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 10 September 2026 and assigned it the closest of 31 fixed categories, at 95% 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
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 18 Oct 2026, 07:44 | 28,542 | -7 |
| 17 Oct 2026, 04:10 | 28,549 | -3 |
| 16 Oct 2026, 05:18 | 28,552 | -4 |
| 15 Oct 2026, 02:54 | 28,556 | -4 |
| 14 Oct 2026, 01:38 | 28,560 | -11 |
| 11 Oct 2026, 06:39 | 28,571 | -20 |
| 7 Oct 2026, 01:41 | 28,591 | -21 |
| 2 Oct 2026, 05:01 | 28,612 | -74 |
| 18 Sept 2026, 16:20 | 28,686 | -16 |
| 16 Sept 2026, 07:41 | 28,702 | -12 |
| 14 Sept 2026, 11:19 | 28,714 | -11 |
| 12 Sept 2026, 21:40 | 28,725 | -17 |
| 11 Sept 2026, 00:01 | 28,742 | -16 |
| 8 Sept 2026, 01:01 | 28,758 | -22 |
| 4 Sept 2026, 23:01 | 28,780 | -13 |
| 3 Sept 2026, 09:38 | 28,793 | -4 |
| 2 Sept 2026, 03:37 | 28,797 | -2 |
| 1 Sept 2026, 01:48 | 28,799 | -5 |
| 31 Aug 2026, 04:35 | 28,804 | -6 |
| 30 Aug 2026, 02:26 | 28,810 | first reading |
Engagement
223 posts held, back to 2 August 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 111 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 2.57%
- avg views ÷ 28,542 subscribers
- Avg views / post
- 735
- 74 posts measured
- Reaction rate
- 1.12%
- reactions ÷ views · ER floor
- Posts in window
- 74
- of 223 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. It is computed over the 64 of 74 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 18 October 2026 |
|---|---|
| Posts held | 223 (2 August 2026 – 18 October 2026) |
| Views total | 54,377 |
| Reactions total | 549 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 18 Oct 2026, 10:31 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
- ≈1,540
- Videos
- ≈2,360
- Links
- ≈2,320
Lifetime counters from Telegram’s own channel header, read 18 October 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
- 2h 06m
- Average length
- 51s
Measured directly from 148 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
1,300 reactions across 187 posts, in 18 distinct kinds. The most used accounts for 63.9% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 831 | 63.9% | |
| 👍 | 258 | 19.8% | |
| 🔥 | 49 | 3.77% | |
| 🤣 | 42 | 3.23% | |
| 😱 | 37 | 2.85% | |
| 🥰 | 29 | 2.23% | |
| 🤪 | 23 | 1.77% | |
| 🤯 | 9 | 0.692% | |
| 👏 | 8 | 0.615% | |
| 🎉 | 4 | 0.308% | |
| 😁 | 2 | 0.154% | |
| 🙏 | 2 | 0.154% | |
| ❤🔥 | 1 | 0.077% | |
| 👌 | 1 | 0.077% | |
| 💔 | 1 | 0.077% | |
| 😍 | 1 | 0.077% | |
| 😢 | 1 | 0.077% | |
| 🤔 | 1 | 0.077% |
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 189 of the 223 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 1,300 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 223 most recent posts we hold, published 2 August 2026 to 18 October 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.
Recent posts
Завершая анатомическую неделю 🌸, обратимся к круговой мышце рта. При хроническом напряжении она способна сжиматься к центру, подобно диафрагме объектива 📸, что приводит к истончению губ и появлению кисетных морщин. Индустрия красоты предлагает решать эту проблему инъекциями 💉, однако истинная причина кроется в глубоком мышечном спазме 🧘♀️. Попытки разгладить эту зону агрессивным механическим воздействием лишь трав…
Кортизол и отечность как стресс рушит кожу
Сегодняшняя глобальная тренировка была посвящена сборке всей системы и закреплению эффекта лифтинга от шеи до лба 🧘♀️✨. Когда мы работаем с телом фрагментарно, результат держится недолго 📉. Но стоит выстроить единую цепь от стоп до макушки 🦶➡️🧠, как ткани начинают удерживать каркас самостоятельно 💪. Отличным примером служит мышца гордецов и зона межбровья, с которой мы сегодня работали 🧐. Из-за постоянного контро…
Массаж со всей силы пугает нервную систему
👍4
Субботнее утро, сотканное из тончайшего шёлка и залитое медовым светом ☀️ 🌸 Время, когда можно наконец выдохнуть, сбросить невидимый корсет из бесконечных дел и позволить себе просто быть ✨ Давайте замедлимся вместе. Позвольте этому утру коснуться вашей кожи, как лепесток пиона, и восстановить тот самый внутренний свет, который мы так часто прячем от чужих глаз 🌷 В суете бесконечных «надо» и «должна» мы порой заб…
🤪1
Твоё лицо — зеркало твоего спокойствия. ☁️ Когда мы тревожимся, злимся или просто устаём, первыми об этом узнают жевательные мышцы (массетеры). Они сжимаются от стресса, и овал лица незаметно расширяется, а контур становится тяжёлым. 😔🫠 В ответ на это нам часто предлагают быстрый укол ботокса. Но давай посмотрим правде в глаза: с точки зрения биомеханики это тупик. 🛑 Искусственно расслабляя мощный массетер, мы не …
❤4🥰1
Продолжаем анатомическую неделю, обращаясь к подзатылочным мышцам — важнейшему биомеханическому узлу, соединяющему тело и голову 🧠✨ Именно здесь кроется разгадка того, почему активные тренировки на пресс часто провоцируют напряжение в шее и утяжеление подбородка. Если вы выполняете скручивания резкими движениями, не стабилизировав глубокие мышцы кора, затылочная зона уходит в глухой спазм 😮💨 Короткие экстензоры ше…
😔 Тяжелый овал и опущенные уголки губ? Мышцы-депрессоры нижней трети лица работают как мощные фасциальные якоря. В гипертонусе они неумолимо стягивают вниз всю архитектуру лица, придавая ему скорбное выражение. 🚫 Почему утренняя одутловатость не уходит? Попытки бороться с ней жестким механическим трением приводят к обратному эффекту. Грубыми движениями вы травмируете перегруженные ткани. Запомните: эти мышцы катего…
🔥2
Мышца, которая выдаёт то, что вы держите внутри 🤍 Есть мышца, поднимающая верхнюю губу и крыло носа. Она маленькая, но очень чуткая: откликается мгновенно — на всё, что вы не сказали вслух. 😔 Скрытое недовольство 🧠 Ментальное напряжение 🚫 Внутреннее сопротивление Пока эмоция остаётся внутри, мышца может сокращаться часами. Лицо при этом выглядит спокойным. А внутри — постоянная работа на удержание. Что происходит …
❤8
Тонизация губ для эффекта наполненности
❤4🤣1
В этом рилсе вы знаете, что такое адипофиллин и зачем он коже 💧✨ А для своей читающей аудитории у меня вот такая информация: Анатомическая неделя продолжается, и сегодня мы детально разбираем большую скуловую мышцу — главный элеватор нашего лица, своеобразный мышечный лифт 🏗, который отвечает за положение средней трети. Биомеханика этой структуры чрезвычайно показательна 🧬. Если большая скуловая мышца погружается в…
❤2
Showing the 12 most recent of 223 posts we hold for @fithappymama. 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.
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.
@myfaceyoung · 526 (as read 9 September 2026)#1
@dr_ales · 460,723#2
@anyclass_faceonline · 468,175#3
@WhatevaCircle · 114,109#4
@vasha_orlovadasha · 38,335#5
@facefitnessonline · 109,529#6
@naturalbeauty_face · 401#7
@trenerkrasot · 216#8
@facefitness_kate · 10,021#9
@revitonica_ru · 259,393#10
@avesstudybook · 2,573#11
@snova_nova · 4,052#12
@verakrasivaya_prolitso · 31,925#13
@beautyface_medushkina · 13,677#14
@sensfitness · 25,048#15
@facefitness_dubinina · 4,373#16
@Stalina_M · 520#17
@rimma_faceplastica · 329 (as read 9 September 2026)#18
@facestudio_online · 19,510#19
@facefitness_moscow · 22,430#20
@facefitnes_nn · 437#21
@tanyaopekun1 · 13,667#22
@lebedevaii · 1,093#23
@molodeem · 4,243#24
@wander_masha · 11,715#25
@facerehab_promolodost · 1,212#26
@movemel · 20,523#27
@sushkovainna · 13,700#28
@cekachevahelp · 651#29
@vip_tape · 30,248#30
@stydia_estetiki · 9,246#31
@fedotova_ff · 3,019#32
@formulamolodostii · 7,374#33
@facebuaty_pro · 2,380#34
@innayogamovement · 650#35
@yana_samomassaj · 5,992#36
@PROTELOPSY_TM · 1,731#37
@yavanape · 214#38
@tsvetochek_v_gorshochek1 · 403#39
@helenkornilova · 182,421#40
@sofi_shine_fine · 9,793#41
@dr_amina_pirmanova · 130,125#42
@zlakolya · 753#43
@melannettt · 107,456#44
@osteo_agape · 12,037#45
@lafaki_art · 8,622#46
@yoga_lico_nn · 8,541#47
@osteopat_Kotlyar · 588#48
@splitmassagecourse · 1,946#49
@osteocode · 26,123#50
@perceptionschool · 2,640#51
@Nataly_Rost · 301#52
@TuftiItfut · 11,602#53
@Lena_Pyatibrat · 36,735#54
@kinesiotaping · 8,302#55
@sayfullina_beauty_julia · 19,362#56
@marina_kostrova · 86,151#57
@dianova_yulia · 4,599#58
@n_marketingtg · 1,033#59
@karmatsky_timofey · 187,010#60
@lady_molodost · 2,922#61
@parada_vika · 126#62
@sujokonline_health · 33,573#63
@iamyuliastretch · 9,467#64
@fintess_sliv · 9,392#65
@andreyasabaev · 6,400#66
@faceplastic_magic · 3,005#67
@alla_bty · 61,667#68
@eva_efremova · 610#69
@slavitsaonline · 13,581#70
@telo_poletelo_spb · 1,004#71
@coachshadyrskaya · 790#72
@baykinaolga · 50,497#73
@ViktoriyaKushnareva · 23,162#74
@salutempermotus · 7,116#75
@zdorovaya_spina_tut · 607#76
@malyshevaludmila · 3,270#77
@zhou_xin · 1,040#78
@chef_alex_tolchev · 2,226#79
@nebrenchina_art · 456#80
@vvprofitness · 12,993#81
@novostroy_cnng · 4,111#82
@adadiani · 249#83
@veda_food · 5,601#84
@ElenaIstomina_channel · 418#85
@romanvvasilenko · 6,619#86
@razumnoepitaniye · 7,266#87
@v_usloviyakh_reanimatsii · 6,024#88
Read from Telegram’s recommendation API, most recently 9 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.
@facestudio_online · 19,510
Telegram ranks this channel #2 of 69 here — alongside 68 others — read 1 October 2026
@vasha_orlovadasha · 38,335
Telegram ranks this channel #6 of 91 here — alongside 90 others — read 31 August 2026
@facefitnessonline · 109,529
Telegram ranks this channel #16 of 93 here — alongside 92 others — read 15 August 2026
@WhatevaCircle · 114,109
Telegram ranks this channel #16 of 95 here — alongside 94 others — read 14 August 2026
@anyclass_faceonline · 468,175
Telegram ranks this channel #19 of 86 here — alongside 85 others — read 10 August 2026
@revitonica_ru · 259,393
Telegram ranks this channel #20 of 83 here — alongside 82 others — read 10 August 2026
@vip_tape · 30,248
Telegram ranks this channel #28 of 88 here — alongside 87 others — read 7 September 2026
@rafael_faceguru · 27,906
Telegram ranks this channel #30 of 87 here — alongside 86 others — read 9 September 2026
@facefitness_moscow · 22,430
Telegram ranks this channel #34 of 79 here — alongside 78 others — read 22 September 2026
@sensfitness · 25,048
Telegram ranks this channel #34 of 96 here — alongside 95 others — read 14 September 2026
@verakrasivaya_prolitso · 31,925
Telegram ranks this channel #36 of 85 here — alongside 84 others — read 5 September 2026
@dr_ales · 460,723
Telegram ranks this channel #37 of 94 here — alongside 93 others — read 10 August 2026
@sayfullina_beauty_julia · 19,362
Telegram ranks this channel #43 of 73 here — alongside 72 others — read 1 October 2026
@Lena_Pyatibrat · 36,735
Telegram ranks this channel #57 of 86 here — alongside 85 others — read 1 September 2026
@osteocode · 26,123
Telegram ranks this channel #82 of 86 here — alongside 85 others — read 12 September 2026
This channel appears in 15 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 October 2026 — this entry's latest reading, not the date you are reading this.
“Татьяна Курчина” (@fithappymama), 28,542 subscribers as measured 18 October 2026. Telegram Register, tgregister.com/channel/fithappymama.
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.