Telegram RegisterThe public register of Telegram

Channel

Lobastov’s Scientific Library

@lscilib

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

1,936subscribers

+1 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 1,000–3,162.

Register entry

Telegram ID-1002145152939
TypeChannel
Username@lscilib
CreatedBetween 1 November 2023 and 31 May 2024— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live12 August 2026
Measurements held5
Confirmed unchanged1 time, most recently 12 August 2026
On Telegramt.me/lscilib

Growth

1,9351,9381,936.56 August 2026 — 1,935 subscribers6 August 2026 — 1,935 subscribers7 August 2026 — 1,936 subscribers10 August 2026 — 1,938 subscribers12 August 2026 — 1,936 subscribers1,9366 August 202612 August 2026
5 measurements spanning 7 days, net +1. 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 1,935–1,938 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
12 Aug 2026, 19:371,936-2
10 Aug 2026, 03:321,938+2
7 Aug 2026, 02:461,936+1
6 Aug 2026, 06:341,935no change
6 Aug 2026, 03:181,935first reading

Engagement

20 posts held, back to 27 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 2 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
31.4%
avg views ÷ 1,936 subscribers
Avg views / post
608
4 posts measured
Reaction rate
3.34%
reactions ÷ views · ER floor
Posts in window
4
of 20 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 3 of 4 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 3 August 2026
Posts held20 (27 May 20263 August 2026)
Views total2,430
Reactions total61
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Aug 2026, 17:13 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

Video runtime
2m 36s
Average length
2m 36s

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

248 reactions across 19 posts, in 8 distinct kinds. The most used accounts for 28.6% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
custom 53325630789638165677128.6%
custom 54678608237350324257128.6%
custom 54159136925061280074417.7%
custom 52088335580214382392610.5%
custom 5467412240170769607124.84%
custom 5467633164698542257114.44%
custom 546740408832284210393.63%
custom 546535633381545799041.61%

Custom emoji. Every row above is a Telegram custom emoji, which the public preview renders as an element carrying only a numeric id — no character, and no image we can reach. The id is printed as-is rather than substituted with a look-alike glyph, because a stand-in would be our invention showing where a measurement should be. The counts beside them areTelegram’s.

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 19 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 248reactions 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 27 May 2026 to 3 August 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
14
across the posts below
Posts paid on
5
of 20 we hold a reading for · 25%
Most on one post
6
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @lscilib. 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 20 most recent posts we hold for this entry, published 27 May 2026 to 3 August 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

3 Aug 2026, 07:38 UTC414 views39 reactions6 Starsread 7 August 2026

​​🤡 Вот такие вот 🤡 …доктора медицинских наук и профессора пошли. Молодой доктор наук с индексом Хирша 3-5 - это обычный карьерист, удачно пристроившийся к авторитетному научному консультанту, который продвинул его защиту по какой-либо (не будем гадать) причине. Такие показатели могут быть только в одном случае: 🤡 Соискатель опубликовал 3 статьи для защиты кандидаткой диссертации, которые кто-то зачем-то процитир

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Signed LSL

29 Jul 2026, 10:53 UTC606 viewsread 7 August 2026
Photo

🫸🏻 Эндрю отошел от дел 🫷🏻 …но не совсем 🤫 Вот такие вот интересные новости.

27 Jul 2026, 17:53 UTC607 views6 reactionsread 7 August 2026
Forwarded from @sir_William_Osler

Предоперационное обследование — странная штука. Его цели обычно формулируются в интересах пациента (предотвратить осложнения и пр.), но здравый взгляд ясно видит, что это просто дополнительный барьер на пути к лечению. Зачем тогда он нужен? Нельзя ли его убрать? Оказывается, что нет. Он, действительно, нужен, просто не пациенту, а врачу. В хирургической литературе есть такой штамп "операция дает отличные результаты п

custom 54678608237350324254custom 54674040883228421032

15 Jul 2026, 11:17 UTC803 views16 reactionsread 7 August 2026

​​🏖 Возьмите с собой диосмин на пляж 🏖 ..., чтобы защититься от солнечных ожогов. Попытки доказать противовоспалительную активность диосмин-содержащих препаратов в рамках лечения ХЗВ иногда приводят к очень занимательным результатам, примером которых служит экспериментальная работа французских исследователей, опубликованная в Molecules еще в ноябре 2022 года. Суть эксперимента заключается в обработке человеческого

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Signed LSL

14 Jul 2026, 06:58 UTC582 views7 reactionsread 7 August 2026
Forwarded from @ebm_base

ВСЕ СКАЗАЛИ! Немного отвлечемся от инструментальных переменных) Вчера я в двух каналах запустил опросы (Ebm_base и JC Ebm_base). По их результатам (56% и 47% соответственно) можно ли сделать вывод, что статистика - это интересно, но непонятно? Или что 7% людей она неинтересно и непонятна? Кажется, что я натягиваю сову на глобус? Так и есть! Давайте разберемся, что произошло. 1. Selection bias (или конкретно survi

custom 54678608237350324254custom 53325630789638165673

13 Jul 2026, 10:14 UTC586 views4 reactionsread 7 August 2026

​​🔬 Гистологическая картина стеноза и окклюзии 🔬 ...венозного стента была оценена группой исследователей из Мичиганского университета и опубликована два раза, правда, результаты получились неоднозначные. Первая статья, вышедшая в Vasc Med в феврале 2026 года, представляет собой анализ результатов лечения окклюзии венозных стентов у 20 пациентов (из которых морфология изучена только на 16 конечностях у 15 человек) с

custom 53325630789638165672custom 52088335580214382391custom 54159136925061280071

Signed LSL

9 Jul 2026, 08:30 UTC≈1,270 views11 reactionsread 7 August 2026
Video

🖥️ Добро пожаловать 🖥️ …на обновленный образовательный портал Phlebo-Class.ru! Отныне здесь мы будем проводить все активности в рамках проектов по ХЗВ и ВТЭО (включая Школу Тромбоза). Сюда переехал лекционный курс Школы Тромбоза, возможность подписки на который откроется в ближайшее время. Также здесь будут появляться новые образовательные модули по ХЗВ и доказательной медицине, разработку которых мы начинаем в бл

custom 54678608237350324259custom 52088335580214382391custom 53325630789638165671

7 Jul 2026, 10:55 UTC686 views11 reactionsread 7 August 2026

​​💉 Склеротерапия ложа трофической язвы 💉 ... ускоряет ее заживление, теперь официально. Ранее мы часто об этом говорили и даже прописывали в клинических рекомендациях, но с низким уровнем убедительности и достоверности. А теперь у нас появилось сразу три небольших РКИ, которые можно метанализировать. Первое было опубликовано во Phlebology в июне 2025 года, включило только 23 пациента и продемонстрировало более зн

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Signed LSL

3 Jul 2026, 09:03 UTC794 views7 reactionsread 7 August 2026

💰 Ходьба по беговой дорожке за $1 млн 💰 ... защищает от ПТБ (правда, только средне-тяжелой формы). Именно такую интересную новость принесли вчера Venous News. По сути, это пресс-релиз представленных в июне 2026 года на ежегодном конгрессе SVS, но еще не опубликованных результатов РКИ EFFORT-2. В нем 102-х пациентов с ТГВ (в критериях включения даже нет указаний на локализацию) лечили стандартно антикоагулянтами, ко

custom 53325630789638165673custom 54159136925061280073custom 52088335580214382391

Signed LSL

2 Jul 2026, 16:09 UTC684 views8 reactions5 Starsread 7 August 2026
Forwarded from @nkonnadm

😍 Уважаемые коллеги, добрый день. Продолжаем серию авторских постов от Никиты Николаевича Хромова-Борисова. Первая серия посвящена значению "p-value". С первым постом вы можете ознакомится здесь. P-значение уже больше века остаётся одним из главных, но и самых спорных инструментов анализа данных в биомедицине. Собрали хронологическую подборку цитат статистиков и исследователей — от 1900 до 2026 года — о пользе и

custom 54159136925061280073custom 52088335580214382392custom 53325630789638165672custom 54678608237350324251

1 Jul 2026, 13:12 UTC≈1,580 views14 reactionsread 7 August 2026

​​💊 Почему не работает ривароксабан? 💊 На интересные размышления и изыскания натолкнул меня пришедший на рецензию коротенький китайский кейс. Там 17-летний юноша заболел головой, по поводу чего ему выполнили МРТ и нашли тромбоз мозговых синусов на фоне дефицита протеина С. Но помимо стандартного функционального анализа, также выполнили генетическое типирование, обнаружив один конкретный из 300+ возможных полиморфизм

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Signed LSL

29 Jun 2026, 19:12 UTC656 views15 reactionsread 7 August 2026
Photo

👅 Послевкусие 👅 Европейского венозного форума 2026 года. Может не открываться при включенном VPN.

custom 54674040883228421037custom 52088335580214382396custom 54674122401707696072

Showing the 12 most recent of 20 posts we hold for @lscilib. 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.

Citation-graph rank

Citation-graph rank — 256,778 of 1,176,251entries 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.

Forward network

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

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.

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

“Lobastov’s Scientific Library” (@lscilib), 1,936 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/lscilib.

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.