Терапевтическая Суперсила pinned «Друзья, навайбкодил 🙂 удобный калькулятор для терапевтов, эндокринологов и кардиологов. Пожалуйста попробуйте, обязательно напишите если обнаружите какие-нибудь косяки и ошибки. Его можно запустить на компьютере и телефоне вот ссылка версия 1.01: medsup…»

Channel
Терапевтическая Суперсила
@tersuperpower
On this record: Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Citations · Telegram's recommendations · Cite this entry
5,238subscribers
-5 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 3,162–10,000.
Register entry
| Telegram ID | -1001853301000 |
|---|---|
| Type | Channel |
| Username | @tersuperpower |
| Created | Between 1 October 2022 and 30 September 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 16 August 2026 |
| Measurements held | 5 |
| Confirmed unchanged | 1 time, most recently 16 August 2026 |
| On Telegram | t.me/tersuperpower |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 16 Aug 2026, 19:47 | 5,238 | +1 |
| 11 Aug 2026, 00:32 | 5,237 | -5 |
| 7 Aug 2026, 21:15 | 5,242 | -1 |
| 7 Aug 2026, 15:00 | 5,243 | no change |
| 7 Aug 2026, 14:58 | 5,243 | first reading |
Engagement
18 posts held, back to 26 January 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 7 pagesof 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 18 posts for this entry, the most recent from 15 June 2026. An engagement rate over an empty window would be a number about nothing.
What this channel posts
- Video runtime
- 7m 33s
- Average length
- 7m 33s
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
454 reactions across 17 posts, in 10 distinct kinds. The most used accounts for 51.8% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 235 | 51.8% | |
| 🔥 | 110 | 24.2% | |
| 👍 | 58 | 12.8% | |
| 🤝 | 24 | 5.29% | |
| ❤🔥 | 11 | 2.42% | |
| 💯 | 5 | 1.10% | |
| 🙏 | 5 | 1.10% | |
| ✍ | 3 | 0.661% | |
| 💔 | 2 | 0.441% | |
| 😍 | 1 | 0.22% |
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 17 of the 18 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 454reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 18 most recent posts we hold, published 26 January 2026 to 15 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.
Telegram Stars
- Stars received
- 3
- across the posts below
- Posts paid on
- 3
- of 17 we hold a reading for · 18%
- Most on one post
- 1
- single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @tersuperpower. 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 18 most recent posts we hold for this entry, published 26 January 2026 to 15 June 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.
Recent posts
Друзья, навайбкодил 🙂 удобный калькулятор для терапевтов, эндокринологов и кардиологов. Пожалуйста попробуйте, обязательно напишите если обнаружите какие-нибудь косяки и ошибки. Его можно запустить на компьютере и телефоне вот ссылка версия 1.01: medsuperpowercalculator.netlify.app
🔥14❤1👍1
Signed Дмитрий Василенко
Короткое сравнение современных клинических рекомендаций по артериальной гипертензии: - Артериальная гипертензия у взрослых, Россия, 2024 - Рекомендации по ведению повышенного артериального давления и гипертензии, Европа, 2024 - Рекомендации по профилактике, выявлению, оценке и ведению высокого артериального давления у взрослых, США, 2025 - Артериальная гипертензия у взрослых: диагностика и ведение, Великобритания, 2…
❤20👍15
Signed Дмитрий Василенко
Коллеги, запускаю проект, который давно хотел сделать по-настоящему полезным для практикующего педиатра. «Помощник Педиатра 2026» — это закрытый Telegram-канал + электронная версия книги, созданные как рабочая опора для амбулаторного приема. Я делал его не как «еще одну медицинскую библиотеку» и не как склад абстрактных лекций. Моя цель была другой: чтобы у молодого педиатра под рукой был понятный, практичный и док…
🔥6❤1❤🔥1
Signed Дмитрий Василенко
Хочу презентовать вам новый проект: “Помощник Педиатра + 2026” Это доказательная система поддержки педиатра для реальной амбулаторной работы. В течение нескольких дней планируется официальный запуск!
❤5❤🔥4🔥4
Signed Дмитрий Василенко
Левополушарный интерпретатор В нашей голове живет изворотливый PR-менеджер. Его единственная задача объяснять поступки так, чтобы мы казались себе и окружающим абсолютно логичным и адекватным человеком. Причем этот пиарщик чаще всего вообще не знает, почему вы совершили то или иное действие, но моментально придумывает красивое оправдание. Называется этот PR-менеджер левополушарный интерпретатор. Все началось с клас…
🔥11❤8
Signed Дмитрий Василенко
Интересная статья про Общий анализ крови, с которой я очень даже согласен. Общий анализ крови назначают слишком широко: врачи первичного звена очень часто используют общий анализ крови как часть рутинного обследования, даже у людей без симптомов. Надежных доказательств пользы такого скрининга пока нет. Нет качественных данных, что рутинный общий анализ крови у бессимптомных пациентов улучшает выживаемость или другие…
❤21👍4💯4
Signed Дмитрий Василенко
Редкие причины лимфоаденопатии 🆎 Руководство для терапевта по редким причинам лимфоаденопатии 🆎 Краткий алгоритм 😀 StatPearls Castleman Disease Kikuchi-Fujimoto Disease IgG4-Related Disease Whipple Disease Angiolymphoid Hyperplasia With Eosinophilia Langerhans Cell Histiocytosis Common Variable Immunodeficiency Drug Reaction with Eosinophilia and Systemic Symptoms (DRESS) Autoimmune Lymphoproliferative Syndrome (…
❤11💔2
Signed Дмитрий Василенко
Несколько дней назад (13.03.2026) вышло обновленное руководство по дислипидемиям от American Heart Association Руководство заменяет документ 2018 года Теперь для оценки рисков рекомендовано использовать калькулятор PREVENT, для расчета холестерина липопротеинов низкой плотности теперь предлагается использовать формулы Martin/Hopkins вместо Фридвальда. Вот русскоязычная упрощенная версия
🤝24❤6🔥4
Signed Дмитрий Василенко
Нейрогастроэнтерология 📌 Объяснение термина и концепции 💁♂️ Структурированное руководство для практикующего врача 👉 Руководство для пациентов
❤16🔥7
Signed Дмитрий Василенко
Я собрал для вас все текущие знания о клиническом мышлении в медицине и его тренировке. Получилось вот такое краткое и четкое руководство: Клиническое мышление врача: практическое руководство А это ИИ тренажер клинического мышления на реальных медицинских кейсах. Запускаете, выбираете сложность и получаете обратную связь от нейросети.
❤20🔥17
Signed Дмитрий Василенко
Мне на глаза попалась книжка Rare Causes of Headache Disorders Case Based Diagnostic Approach о редких причинах головной боли. В ней обнаружилось много интересных синдромов о существовании которых я не знал. Это заставило в очередной раз подумать о том, что в практике каждого врача сотни случаев, которые были пропущены, проигнорированы или приняты за что то другое. Полезное упражнение: прочитать про эти синдромы и п…
❤33🔥8🙏5❤🔥2
Signed Дмитрий Василенко
Showing the 12 most recent of 18 posts we hold for @tersuperpower. 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.
Forward network
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.
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.
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.
@blog_kardiologa · 137,424
Telegram ranks this channel #10 of 96 here — alongside 95 others — read 13 August 2026
@medic_smith · 147,041
Telegram ranks this channel #57 of 98 here — alongside 97 others — read 13 August 2026
@mediamedics · 143,080
Telegram ranks this channel #65 of 95 here — alongside 94 others — read 13 August 2026
This channel appears in 3 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 16 August 2026 — this entry's latest reading, not the date you are reading this.
“Терапевтическая Суперсила” (@tersuperpower), 5,238 subscribers as measured 16 August 2026. Telegram Register, tgregister.com/channel/tersuperpower.
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.