Channel
@MedSchoLib
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
2,236subscribers
+0 since we began measuring on 30 September 2026
Risers and fallers across the register · movement among entries of 1,000–3,162.
| Telegram ID | -1001353095788 |
|---|---|
| Type | Channel |
| Username | @MedSchoLib |
| Description | Science | Fundamental Medicine | USMLE Пользуйтесь закрепом для навигации Обновления вносятся редактированием Аватарка: https://youtu.be/kXpzp4RDGJI Один канал вместо десятков |
| Created | Between 1 March 2018 and 31 July 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 30 September 2026 |
| Last confirmed live | 30 September 2026 |
| Measurements held | 2 |
| On Telegram | t.me/MedSchoLib |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 30 Sept 2026, 07:22 | 2,236 | no change |
| 30 Sept 2026, 06:47 | 2,236 | first reading |
20 posts held, back to 4 August 2023 — 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 20 posts for this entry, the most recent from 24 September 2024. An engagement rate over an empty window would be a number about nothing.
Lifetime counters from Telegram’s own channel header, read 30 September 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.
223 reactions across 20 posts, in 12 distinct kinds. The most used accounts for 27.4% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 61 | 27.4% | |
| ❤ | 30 | 13.5% | |
| ❤🔥 | 28 | 12.6% | |
| 🔥 | 26 | 11.7% | |
| 🤮 | 21 | 9.42% | |
| 🤬 | 15 | 6.73% | |
| 🫡 | 15 | 6.73% | |
| ⚡ | 11 | 4.93% | |
| 🖕 | 9 | 4.04% | |
| 😱 | 4 | 1.79% | |
| 😁 | 2 | 0.897% | |
| 🍌 | 1 | 0.448% |
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 20 of the 20 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 223 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 20 most recent posts we hold, published 4 August 2023 to 24 September 2024, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.
Hello, this is Telegram Support. Representatives of OpSec Online LLC made a complaint https://t.me/MedSchoLib_books is infringing on their copyright. We kindly ask you to contact the copyright holder via email [email protected] to resolve the matter.
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R (язык программирования) Основы R • {swirl} - learn R in R Статистика • R (статистика) R как язык программирования (Bookdown) • Grolemund. Hands-On Programming with R • Grosser. Advanced R Solutions • Rodrigues. Building reproducible anal. pipelines, R • Rodrigues. Modern R with the tidyverse • Rodrigues. Reproducible Anal. Pipelines - MS’s of DS • Wickham. Advanced R • Wickham. R Packages. 2E • Селезнёв. R для и…
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R (статистика) Книги (Bookdown) • Arnold. R for Data Science: Exercise Solutions • Batra. The Epidemiologist R Handbook • Bryan. STAT 545 • Dalpiaz. R for Statistical Learning • Data Carpentry: R for DA and visual-n of Eco Data • DataFlair. R Tutorial • Demos. A Language, not a Letter: Learn Stats in R • Dudek. One Way ANOVA with R • Ellis. Introduction to R • Hanck. Introduction to Econometrics with R • Holmes. Mod…
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Showing the 12 most recent of 20 posts we hold for @MedSchoLib. 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.
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.
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 30 September 2026 — this entry's latest reading, not the date you are reading this.
“MedSchoLib” (@MedSchoLib), 2,236 subscribers as measured 30 September 2026. Telegram Register, tgregister.com/channel/MedSchoLib.
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.