Channel
@d_neuro
On this record: Growth · Engagement · Reactions · Posts · Citations · Cite this entry
331subscribers
+21 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1001728068946 |
|---|---|
| Type | Channel |
| Username | @d_neuro |
| Created | Between 1 December 2021 and 30 April 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 5 September 2026 |
| Measurements held | 6 |
| Confirmed unchanged | 1 time, most recently 5 September 2026 |
| On Telegram | t.me/d_neuro |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 5 Sept 2026, 02:20 | 331 | +5 |
| 28 Aug 2026, 09:28 | 326 | +6 |
| 22 Aug 2026, 10:02 | 320 | +1 |
| 15 Aug 2026, 12:29 | 319 | +9 |
| 7 Aug 2026, 15:27 | 310 | no change |
| 7 Aug 2026, 03:16 | 310 | first reading |
6 posts held, back to 30 June 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 1 page of 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 6 posts for this entry, the most recent from 27 July 2026. An engagement rate over an empty window would be a number about nothing.
73 reactions across 6 posts, in 5 distinct kinds. The most used accounts for 45.2% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 🔥 | 33 | 45.2% | |
| ❤ | 22 | 30.1% | |
| 👍 | 13 | 17.8% | |
| 😁 | 3 | 4.11% | |
| 💯 | 2 | 2.74% |
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 6 of the 6 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 73 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 6 most recent posts we hold, published 30 June 2026 to 27 July 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.
Специальные тесты шейного отдела позвоночника: как использовать их правильно? Специальные тесты — один из важнейших инструментов клинического обследования. Но их задача — не поставить диагноз, а проверить гипотезу, сформированную после сбора анамнеза и неврологического осмотра. Именно поэтому ни один тест нельзя интерпретировать изолированно. При обследовании пациента с болью в шее или иррадиацией в верхнюю конечнос…
❤7👍5🔥5
👋Всем привет, меня зовут Фёдор. 🌊Я родился в Санкт -Петербурге и прожил там большую часть жизни. 🌴В 25 лет я впервые приехал в Лос-Анджелес без денег/без знакомых , для того, чтобы тренироваться в главном зале 10th Planet Jiu-Jitsu и выступать на проф уровне, представляя российскую сцену бжж. 📅20 Августа я стану первым спортсменом из 🇷🇺РФ, который выйдет в боул UFC BJJ, и мне пригодится Ваша поддержка 💪. 💯В современ…
👍5❤1
Kneebar vs Suloev Stretch: в чем разница с точки зрения биомеханики? Во время боя Марио Баутисты и Кори Сэндхэгена мы увидели интересный эпизод. Баутиста переходил из Suloev Stretch в Kneebar, и именно в этот момент Сэндхэген получил травму задней поверхности бедра. Несмотря на внешнее сходство, эти приемы создают разную нагрузку на ткани. Kneebar Основная цель приема — создать гиперэкстензию коленного сустава. Наи…
🔥5❤1
Почему эта травма отличается от классического механизма разрыва ACL? При борьбе колено редко повреждается только в одной плоскости. Во время тейкдауна стопа часто остается фиксированной, а корпус продолжает движение. Если при этом возникает сила, направленная на внутреннюю поверхность колена, формируется варусный момент — колено раскрывается кнаружи. В отличие от вальгусного механизма, который чаще ассоциируется с по…
❤6🔥3
Король вернется - крест порвется или что произошло с коленом Конора Макгрегора? Возвращение Конора получилось совсем не таким, как ожидалось. Судя по видео, травма произошла уже во время первого удара ногой. 5 лет на порошково-алкогольной диете подточили нейромышечный контроль Мака. Мы его не осуждаем. Но обсуждаем возможный механизм повреждения. Макгрегор выполняет удар в прыжке, но Макс в последний момент смеща…
🔥7❤5😁3💯2👍1
Marinovich Method или Marinovich Movement Methods — метод Мариновичей, акцентирующий внимание на качестве движения и работе нервной системы. Основные идеи этой концепции: тренировка нервной системы, а не только мышц; развитие проприоцепции (ощущения положения тела в пространстве); большое внимание стопе, координации и балансу; плиометрика и многоплоскостные движения; использование нестабильных поверхностей и необычн…
🔥13❤2👍2
Showing the 6 most recent of 6 posts we hold for @d_neuro. 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.
Republishes
Channels on the register whose posts this channel has forwarded.
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.
Named by 2 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.
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.
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 5 September 2026 — this entry's latest reading, not the date you are reading this.
“d.neuro” (@d_neuro), 331 subscribers as measured 5 September 2026. Telegram Register, tgregister.com/channel/d_neuro.
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.