Если вы пропустили эфир-разбор Юлии Краузе (Блюм) «Клиент говорит: “Болит поясница”. Что вы будете делать?» — или не смогли досмотреть до конца — у вас есть шанс. Сегодня в 19:00 МСК — повтор. И это не просто запись. Это возможность увидеть то, что многие пропускают: не готовый диагноз. Не список «5 упражнений от боли». А сам процесс профессионального мышления. Юлия показала, как специалист принимает решения: ⏺сбор…

Channel
Биомеханика.Дети
@BIOMEHANICA
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Polls · Citations · Telegram's recommendations · Cite this entry
31,974subscribers
-631 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 31,623–100,000.
Register entry
| Telegram ID | -1001529665465 |
|---|---|
| Type | Channel |
| Username | @BIOMEHANICA |
| Description | 🤸🏽Доказательный подход к движению и восстановлению 🌟500+ специалистов за 2 года, 130 000+ учеников за 6 лет 🤝Бесплатная консультация https://t.me/notification_biomehanika_bot |
| 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 | 9 October 2026 |
| Measurements held | 36 |
| Confirmed unchanged | 1 time, most recently 9 October 2026 |
| On Telegram | t.me/BIOMEHANICA |
Topic
Education — 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 78% 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 |
|---|---|---|
| 9 Oct 2026, 10:00 | 31,974 | -57 |
| 5 Oct 2026, 02:01 | 32,031 | -66 |
| 28 Sept 2026, 03:36 | 32,097 | -115 |
| 17 Sept 2026, 16:39 | 32,212 | -31 |
| 15 Sept 2026, 12:38 | 32,243 | -12 |
| 14 Sept 2026, 00:00 | 32,255 | -12 |
| 12 Sept 2026, 10:20 | 32,267 | -27 |
| 10 Sept 2026, 09:18 | 32,294 | -34 |
| 7 Sept 2026, 01:58 | 32,328 | -39 |
| 4 Sept 2026, 08:17 | 32,367 | -7 |
| 2 Sept 2026, 19:42 | 32,374 | -10 |
| 1 Sept 2026, 19:35 | 32,384 | -12 |
| 31 Aug 2026, 18:12 | 32,396 | -6 |
| 30 Aug 2026, 20:38 | 32,402 | -4 |
| 29 Aug 2026, 23:57 | 32,406 | -9 |
| 29 Aug 2026, 01:05 | 32,415 | -9 |
| 28 Aug 2026, 03:36 | 32,424 | -17 |
| 27 Aug 2026, 05:08 | 32,441 | -5 |
| 26 Aug 2026, 07:02 | 32,446 | -2 |
| 25 Aug 2026, 05:54 | 32,448 | first reading |
Engagement
114 posts held, back to 26 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 114 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 1.80%
- avg views ÷ 31,974 subscribers
- Avg views / post
- 577
- 47 posts measured
- Reaction rate
- 0.373%
- reactions ÷ views · ER floor
- Posts in window
- 47
- of 114 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 19 of 47 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 9 October 2026 |
|---|---|
| Posts held | 114 (26 July 2026 – 9 October 2026) |
| Views total | 27,107 |
| Reactions total | 45 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 12 Oct 2026, 23:26 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
- ≈1,120
- Videos
- ≈579
- Links
- ≈1,490
Lifetime counters from Telegram’s own channel header, read 12 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
- 45s
- Average length
- 11s
Measured directly from 4 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
354 reactions across 80 posts, in 7 distinct kinds. The most used accounts for 45.2% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 160 | 45.2% | |
| 🔥 | 93 | 26.3% | |
| 👍 | 90 | 25.4% | |
| ❤🔥 | 7 | 1.98% | |
| 🎉 | 2 | 0.565% | |
| 🏆 | 1 | 0.282% | |
| 🥰 | 1 | 0.282% |
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 82 of the 114 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 354 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 114 most recent posts we hold, published 26 July 2026 to 9 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
🗣Коллеги, уже идет вторая часть эфира. Юлия берёт планшет и будет расчерчивать кейс клиента — прямо на глазах участников. Цепочка за цепочкой. От жалобы до решения. Это то, что нельзя пересказать. Это надо видеть. Подключайтесь. Прямо сейчас. 👉На эфир
✅Коллеги, мы продолжаем разбор. И сейчас — самая важная часть. Участники уже видят, как выстраивается алгоритм. Как из одной фразы «болит поясница» рождается логика. Как специалист учится думать, а не гадать. Но самое ценное — в финале. Там, где всё складывается в единую систему. Где вы понимаете: это не разовый приём. Это способ мышления. И он может стать вашим. 🔥 Если вы не на эфире — подключитесь хотя бы к фина…
❤️🧡💛💚💙🖤Коллеги, мы уже в эфире. И уже понятно: этот разбор — не про поясницу. 🔥 Он про то, как специалист принимает решения. Что спросить. Куда посмотреть. Какие тесты провести. И на основании чего выбрать упражнение. Мы не даём готовый ответ. Мы показываем сам процесс мышления. Шаг за шагом. От жалобы - до решения. И это тот уровень, после которого работать по-старому уже не получится. Если вы ещё не подключились …
Коллеги, через 15 минут начинаем. Одна фраза: «болит поясница». И ни одного готового ответа. Только вы, клиент и логика, которую предстоит выстроить вместе с Юлией Краузе (Блюм). Сегодня не про упражнения. Сегодня про то, что стоит за решением. Что спросить. Что заметить. Какой тест выбрать. Что подтвердит гипотезу - а что опровергнет. И почему одному клиенту подойдёт одно воздействие, а другому - совершенно друго…
⏰ Сегодня в 12:00 мск заключительный день Практикума «Биомеханика: код тела». Первые два дня вы учились видеть причины нарушений. Сегодня — самый важный шаг. Вы узнаете, как превратить результаты диагностики в понятный, индивидуальный план работы, который поможет клиенту действительно прогрессировать, а не просто выполнять очередной набор упражнений. Именно здесь знания по биомеханике становятся практикой. ПОДКЛЮЧ…
🔔 У нас сегодня второй день практикума «Биомеханика: код тела», и мы разбираем тему «Стопы: с чего начинается осанка». ❗️Почему важно быть сегодня? Потому что без понимания биомеханики стопы невозможно корректно рабoтать ни со спиной, ни с ТБС, ни с осанкой. ПОДКЛЮЧИТЬСЯ Сегодня вы узнаете: 🦶🏼 почему стопы — это «датчики», которые обманывают мозг, и как это портит осанку; 🦶🏼 как за 1 минуту увидеть дисфункцию ст…
🥦 НУТРИ-СРЕДА — сегодня в нашем канале для специалистов В этой рубрике каждую среду разбираем вопросы питания, восстановления, образа жизни, БАДов и много чего еще интересного и важного! Юлия Разумова — эксперт Академии по системному восстановлению здоровья — уже на связи и готова отвечать на ваши вопросы. Переходите в канал для специалистов, задавайте вопросы и присоединяйтесь к обсуждению 💚 ПЕРЕЙТИ В КАНАЛ И ЗА…
⚠️👁👁👁 Сегодня в 12:00 мск ждем вас на практикуме для специалистов «Биомеханика: код тела»👇 День 1️⃣ — Таз и кор: Фундамент, на котором все держится. ПОДКЛЮЧИТЬСЯ Будьте на эфире обязательно! После эфира вы будете иначе смотреть на движение человека. Вместо отдельных симптомов начнете видеть взаимосвязи и поймете, с чего действительно стоит начинать рабoту с любым клиентом, чтобы получать более стабильный результат…
🔥🔥🔥🔥 Начался эфир «Как правильно составить детскую тренировку» с Александром Сорокиным! ПОДКЛЮЧИТЬСЯ ПОДКЛЮЧИТЬСЯ ПОДКЛЮЧИТЬСЯ
🔔 Уже через час на эфире будем разбирать, как тренеру выстраивать детскую тренировку с учетом возраста, опыта и возможностей ребенка, почему игра — один из лучших инструментов обучения и как создавать среду, в которой ребенок не просто повторяет технику, а учится принимать решения и адаптироваться. Поговорим о том, как развивать навык, а не только технику, зачем ребенку давать возможность ошибаться и почему тренеру …
🧒🏽 Как правильно составить детскую тренировку? Можно знать свой вид спорта и уметь показывать упражнения, но этого недостаточно, чтобы создать действительно эффективную тренировку для ребенка. На эфире разберем, как тренеру выстраивать детскую тренировку с учетом возраста, опыта и возможностей ребенка, почему игра — один из лучших инструментов обучения и как создавать среду, в которой ребенок не просто повторяет те…
❤3🔥1
Showing the 12 most recent of 114 posts we hold for @BIOMEHANICA. 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.
Polls
The 2 polls we hold for this entry, as Telegram rendered them when we read the post. A poll’s figures keep moving after that, so each one is dated.
Как думаете, зрение и осанка связаны?
- Связаны97%
- Не связаны3%
Shares as published. No per-option vote count is published by Telegram, so none is shown.
А вы какие добавки используете?
- Белок / протеин13%
- Омега-347%
- Витамин D68%
- Другие (напишу в комментариях)4%
- Никакие25%
The shares total 157%, above 100: this poll accepts more than one answer per voter. No per-option vote count is published, so the number of voters who chose each option is not derivable and is not shown.
Percentages only — there are no per-option vote counts here, because Telegram publishes none. The public post preview gives each option’s share and a single voter total, and nothing else. Multiplying one by the other would produce a per-option tally that looks measured and is not: the shares are rounded to whole numbers before we ever see them. We print what was published and leave the column that does not exist empty.
The shares need not add up to 100. Rounding alone puts many polls at 99 or 101. A poll that allows more than one answer per voter runs well past 100 by design, and several here do. The bars are drawn against a fixed 100% track at each option’s own percentage rather than normalised to the total, so a poll that exceeds it shows that it does instead of being quietly rescaled.
Read from the 114 most recent posts we hold, published 26 July 2026 to 9 October 2026. Telegram labels each poll by kind — an anonymous poll, a quiz, a closed set of final results — and that label is reproduced rather than paraphrased.
Mentions
Names
Channels on the register whose handles appear in this channel's posts.
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.
@osanka_rebenkaa · 104,559#1
@instructors_school · 4,348#2
@moveprorehab · 5,168#3
@alexandra_kibziy · 16,436#4
@anatomyclub · 12,315#5
@annaplotnikova_dr · 5,478#6
@osanka_vmeste · 2,430#7
@smart_spine · 5,687#8
@promindru · 3,275#9
@dr_ales · 462,363#10
@ekzarta · 656#11
@xeniatoday · 1,785#12
@smart_scoliosis · 4,672#13
@semichenkov_academy · 21,120#14
@ashapochka_com · 9,116#15
@katemakarova1 · 1,411#16
@Rodion_trainer · 2,293#17
@avesstudybook · 2,576#18
@kinesiopro · 11,416#19
@channelhoroshovtele · 1,211#20
@lupandinabolotova · 18,421#21
@markelovaosteopat · 1,500#22
@marafonfaceandbody · 1,266#23
@biomechanicanalysis · 1,252#24
@olgapodskazhet · 2,540#25
@mikhail_gurev · 5,795#26
@fizkultyragym · 112#27
@ascentiachannel · 3,774#28
@smart_fittt · 644#29
@doctorgorbachev · 3,714#30
@sensornyaya_pro_shkola · 8,502#31
@healthy_osanka · 19,512#32
@orthopedics_center · 1,656#33
@nangelska_online · 2,173#34
@flex_mybody · 112,425#35
@vip_tape · 30,286#36
@trenersemenov · 22,728#37
@annacheeta · 33,737#38
@knshu23 · 67,266#39
@ivlev_health · 609#40
@formthotics_rus · 984#41
@vikagorshkova · 245#42
@neiro_sochi · 736#43
@valentinapaevskaya · 230,121#44
@anastasiyalunegova · 75,214#45
@shamilahmadullin · 178,528#46
@detsdoc · 58,661#47
@dr_sibatrova · 599#48
@gastrosmile · 41,121#49
@mudroedvijenie · 5,862#50
@doc_magomedova777 · 70,132#51
@doctorita21 · 5,527#52
@osteo_agape · 12,020#53
@aazemtsova · 1,080#54
@mashablinovafit · 279,366#55
@maltabar · 1,391#56
@dvijivi · 17,162#57
@practica_center · 10,722#58
@meseduprodetstvo · 81,178#59
@neuropsy_centr · 2,537#60
@elena_lashtabega · 22,851#61
@docnazarova · 9,190#62
@lavetspro · 4,668#63
@ethika_school · 2,775#64
@v_usloviyakh_reanimatsii · 6,017#65
@myfoodie_nutrition · 5,501#66
@movemel · 20,542#67
@barkas_coach · 806#68
@kinezio_school · 629#69
@analoginet · 5,085#70
@face_gimnastics_nakonechnaya · 91,223#71
@elena_risberg · 323#72
@polestarpilates_russia · 3,947#73
@psiholog_Loginova · 487#74
@verakrasivaya_prolitso · 31,956#75
@physics_for_children · 339#76
@psyfitnes · 1,973#77
@Dasha_Chernenko · 92,529#78
@nashy_deti_rastut · 7,913#79
@Laura_body_psyholog_group · 728#80
@skazhitejazz · 776#81
@inga_pavlova_neiro · 355#82
@vlfin · 871#83
@sertifikatexpert · 515#84
Read from Telegram’s recommendation API, most recently 5 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.
@osanka_rebenkaa · 104,559
Telegram ranks this channel #3 of 80 here — alongside 79 others — read 5 September 2026
@semichenkov_academy · 21,120
Telegram ranks this channel #5 of 57 here — alongside 56 others — read 24 September 2026
@healthy_osanka · 19,512
Telegram ranks this channel #19 of 84 here — alongside 83 others — read 1 October 2026
@vip_tape · 30,286
Telegram ranks this channel #27 of 88 here — alongside 87 others — read 7 September 2026
@ekaterinamadenko · 29,009
Telegram ranks this channel #38 of 76 here — alongside 75 others — read 8 September 2026
@flex_mybody · 112,425
Telegram ranks this channel #45 of 87 here — alongside 86 others — read 14 August 2026
@Dasha_Chernenko · 92,529
Telegram ranks this channel #76 of 90 here — alongside 89 others — read 17 August 2026
This channel appears in 7 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 9 October 2026 — this entry's latest reading, not the date you are reading this.
“Биомеханика.Дети” (@BIOMEHANICA), 31,974 subscribers as measured 9 October 2026. Telegram Register, tgregister.com/channel/BIOMEHANICA.
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.