Telegram RegisterThe public register of Telegram

Channel

Не сутулься | Реабилитолог Фефелова Ольга Николаевна

@docfrm

On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry

65subscribers

-2 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID-1002551485655
TypeChannel
Username@docfrm
CreatedBetween 1 March 2025 and 31 July 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded10 August 2026
Last confirmed live15 August 2026
Measurements held4
Confirmed unchanged1 time, most recently 15 August 2026
On Telegramt.me/docfrm

Growth

6567667 August 2026 — 67 subscribers8 August 2026 — 66 subscribers10 August 2026 — 66 subscribers15 August 2026 — 65 subscribers7 August 202615 August 2026
4 measurements spanning 8 days, net -2. 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 65–67 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
15 Aug 2026, 20:1565-1
10 Aug 2026, 02:0166no change
8 Aug 2026, 11:3366-1
7 Aug 2026, 17:5967first reading

Engagement

8 posts held, back to 20 May 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 pageof Telegram’s post history, 20 posts per page.

Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 8 posts for this entry, the most recent from 26 June 2026. An engagement rate over an empty window would be a number about nothing.

What this channel posts

Video runtime
10s
Average length
5s

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

27 reactions across 8 posts, in 4 distinct kinds. The most used accounts for 51.9% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🔥1451.9%
👍622.2%
414.8%
❤‍🔥311.1%

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 8 of the 8 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 27reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 8 most recent posts we hold, published 20 May 2026 to 26 June 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

26 Jun 2026, 15:18 UTC89 views4 reactionsread 10 August 2026
Photo

Сегодня кратко и интересно про синдром "мертвых ягодиц" Главное проклятье всех офисных сотрудников и геймеров 😱

❤‍🔥3👍1

1 Jun 2026, 13:01 UTC124 views5 reactionsread 10 August 2026
Photo

Для самых любознательных 📚 Источники 1. Stuart McGill SM. Low Back Disorders: Evidence-Based Prevention and Rehabilitation. Human Kinetics. — Исследования биомеханики позвоночника показывают, что упражнения с выраженным разгибанием поясницы создают значительную компрессионную нагрузку на позвоночник. 2. PubMed: Core stability exercise versus general exercise for chronic low back pain (https://pubmed.ncbi.nlm.ni

🔥5

1 Jun 2026, 12:33 UTC91 views3 reactionsread 10 August 2026
Photo

❌ Почему упражнение «лодочка» переоценено? Если бы за каждую рекомендацию «У тебя болит спина? Делай лодочку!» мне давали по рублю, я бы уже открыла собственный реабилитационный центр. На первый взгляд упражнение выглядит идеально: ✔ укрепляет мышцы спины ✔ не требует оборудования ✔ знакомо нам ещё со школы Но есть нюанс. Большинство людей делает «лодочку» не потому, что она им нужна, а потому что считается универс

👍3

31 May 2026, 08:39 UTC77 views6 reactionsread 10 August 2026
Photo

К каждому пациенту у меня авторский подход) Иногда реабилитационную цель можно поставить с помощью Таро. Сегодня попробуем) Вам выпала карта: 🦶 «Боль в стопах» Она говорит: «Ну что, опять решил, что упражнения подождут до понедельника?» ⚡️ «Вечное “у меня нет времени”» Карта предупреждает: время mysteriously находится: — на сериалы — на телефон — на полежать — но не на 15 минут ЛФК 😌 Дальше выходит: 🪄 «Палочка дл

🔥42

26 May 2026, 13:01 UTC80 views2 reactionsread 10 August 2026
Photo

🧠 Что ты здесь видишь? Это не “настоящая ЛФК”, а чаще: кот в позе квадрапеда (на четвереньках) иногда с попыткой “bird-dog” (вытягивает лапу/лапу+заднюю ногу) в стиле йоги, мемов или иллюстраций. 📌 Биомеханически это та же базовая схема: опора на 4 точки перенос веса работа стабилизаторов корпуса (если кот не просто лежит 😄)

2

24 May 2026, 16:00 UTC95 views3 reactionsread 10 August 2026
Photo

🐦🐕 Идеальный bird-dog( квадрапед) за 30 секунд 🧱 1. База квадрапеда (5 секунд) * ладони под плечами * колени под тазом * нейтральная спина * вес распределён равномерно 📌 Ключ: 👉 сначала идеальный квадрапед, потом движение 🧠 2. Подготовка кора (5–10 секунд) * лёгкое напряжение живота (20–30%) * ощущение “стабильного корсета” * дыхание спокойно, без задержки 📌 Важно: 👉 не “вакуум”, а стабильность 🦴 3. Движение (гл

🔥3

22 May 2026, 08:43 UTC78 views2 reactionsread 10 August 2026
Photo

🔥 Да кто такая эта ваша центральная стабилизация?😁 Это мышцы кора. Те самые мышцы, которые держат ваш позвоночник, таз и всё тело стабильным. И нет — это не только пресс. Центральная стабилизация включает: — глубокие мышцы живота — мышцы спины — диафрагму — мышцы тазового дна 👉 Это внутренний «корсет» тела. Когда он работает плохо: — перегружается поясница — появляется нестабильность — болит шея и спина — тело б

🔥2

20 May 2026, 15:14 UTC65 views2 reactionsread 10 August 2026
Photo

Спойлер: «корректоры осанки» с маркетплейсов НЕ лечат сколиоз. И это подтверждают PubMed и Cochrane. То, что продают как: — «ровная спина за 21 день» — «исправление сколиоза» — «ортопедический корректор» …в большинстве случаев — просто ремни, которые отводят плечи назад. Проблема в том, что сколиоз — это не сутулость. Это трехмерная деформация позвоночника с ротацией позвонков. Поэтому: ❌ обычные корректоры не и

👍2

Showing the 8 most recent of 8 posts we hold for @docfrm. 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.

Citation-graph rank

Citation-graph rank — 326,068 of 1,480,688entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.

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.

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 15 August 2026 — this entry's latest reading, not the date you are reading this.

“Не сутулься | Реабилитолог Фефелова Ольга Николаевна” (@docfrm), 65 subscribers as measured 15 August 2026. Telegram Register, tgregister.com/channel/docfrm.

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.