Telegram RegisterThe public register of Telegram

Channel

Лаборатория Научных Видео

@ScienceVideoLab

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

5,554subscribers

-5 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1001103356835
TypeChannel
Username@ScienceVideoLab
Created1 April 2017measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live12 August 2026
Measurements held4
Confirmed unchanged1 time, most recently 12 August 2026
On Telegramt.me/ScienceVideoLab

Growth

5,5545,5595,556.56 August 2026 — 5,559 subscribers6 August 2026 — 5,559 subscribers10 August 2026 — 5,558 subscribers12 August 2026 — 5,554 subscribers6 August 202612 August 2026
4 measurements spanning 7 days, net -5. 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 5,553–5,560 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
12 Aug 2026, 23:395,554-4
10 Aug 2026, 05:315,558-1
6 Aug 2026, 03:345,559no change
6 Aug 2026, 02:485,559first reading

Engagement

22 posts held, back to 11 June 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 8 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
21.7%
avg views ÷ 5,554 subscribers
Avg views / post
1,210
11 posts measured
Reaction rate
3.45%
reactions ÷ views · ER floor
Posts in window
11
of 22 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.

What these figures were computed from
WindowRolling 30 days · latest post in window 11 August 2026
Posts held22 (11 June 202611 August 2026)
Views total13,261
Reactions total458
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken12 Aug 2026, 04:07 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.

Reaction mix

871 reactions across 22 posts, in 16 distinct kinds. The most used accounts for 33.6% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍29333.6%
🔥21724.9%
19722.6%
🎉788.96%
😁293.33%
👏202.30%
❤‍🔥151.72%
🤔60.689%
👎30.344%
🤣30.344%
🤩30.344%
🥰30.344%
10.115%
💩10.115%
💯10.115%
😍10.115%

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 22 of the 22 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 871reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 22 most recent posts we hold, published 11 June 2026 to 11 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
6
across the posts below
Posts paid on
1
of 22 we hold a reading for · 5%
Most on one post
6
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @ScienceVideoLab. 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 22 most recent posts we hold for this entry, published 11 June 2026 to 11 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

11 Aug 2026, 10:36 UTC410 views20 reactionsread 12 August 2026

Что такое лазер и почему он отличается от обычного света? Как лазерное излучение взаимодействует с тканями человека? Почему одни лазеры удаляют опухоли и исправляют зрение, а другие способны вызвать необратимый ожог сетчатки? В этом видео разбираем: • историю создания лазера; • принцип его работы простыми словами; • основные свойства лазерного излучения; • взаимодействие лазера с биологическими тканями; • применение

10👍81🔥1

7 Aug 2026, 15:10 UTC854 views28 reactionsread 12 August 2026

"10 мифов об иммунитете" - новое видео на канале ЛАБА+ Можно ли «поднять иммунитет»? Правда ли, что витамин C, чеснок и имбирь защищают от простуды? Почему люди заболевают после прививки и действительно ли холод вызывает ОРВИ? Разбираем самые распространённые мифы об иммунной системе с точки зрения современной доказательной медицины. Как на самом деле работает иммунитет, зачем нужен регистр доноров костного мозга,

🔥20👍52👏1

5 Aug 2026, 12:35 UTC885 views111 reactions6 Starsread 12 August 2026

😊 Привет! Сегодня проекту 11 лет. Спасибо, что вы с нами! Ваша, Лаба.

🎉7721👍11🔥2

31 Jul 2026, 15:10 UTC≈1,400 views32 reactionsread 12 August 2026

"Польза и безопасность бутилированной питьевой воды" - новое видео на канале ЛАБА+ Разбираемся, насколько безопасна упакованная питьевая вода, как контролируется её качество, влияет ли пластиковая упаковка на здоровье и можно ли получить с водой полезные минералы. На основе современных научных исследований и действующих нормативов автор объясняет, как правильно выбирать питьевую воду и на что действительно стоит обр

👍25🔥6🤔1

31 Jul 2026, 08:24 UTC≈1,180 views52 reactionsread 12 August 2026
Photo

Людям с тонкой душевной организацией дальше читать ЗАПРЕЩЕНО!!! Мы предупредили 😁 Друзья, как вы помните, в январе ЛАБА+ делала фестиваль "Код коричневый". Тема оказалась неисчерпаемой🙈 и мы создали отдельный канал. https://t.me/shit_question 🐧 Почему для науки важно наблюдать за пингвиньим помётом из космоса; 🚽как археологи находят древние уборные и как понимают, что это оно; 🐳 как мужик во время утренних пробе

😁29🔥15🤣3👍21👎1💩1

29 Jul 2026, 12:59 UTC982 views32 reactionsread 12 August 2026

Привет! Дружеский постик. Вы прекрасно знаете Евгения Рыбалтовского. В основном по Зооком клубу, лекциям на наших каналах и прекрасным книгам. И вот пришло время третьей книги из серии путешествий по джунглям Вьетнама с которой мы все можем помочь! Сбор тут: https://planeta.ru/campaigns/245897 Спасибо!)

16🔥8👍7👏1

28 Jul 2026, 15:56 UTC≈1,070 views40 reactionsread 12 August 2026

Гепарды. Охота на ДНК https://youtu.be/a5QLgtBIXy8 Если ютюб не работает, можно посмотреть тут Гепарды пережили резкое сокращение популяции тысячи лет назад, из-за чего сегодня обладают крайне низким генетическим разнообразием. Это делает вид особенно уязвимым перед инфекциями, изменениями среды, браконьерством и деятельностью человека. В этой лекции Анастасия Туренко — младший научный сотрудник Института Пастера

18👍15🔥5👏2

24 Jul 2026, 15:01 UTC≈1,340 views32 reactionsread 12 August 2026

"Фантастические твари. Зоосад древневосточной мифологии" - новое видео на канале ЛАБА+ Восток, как известно, дело тонкое! — какие только артефакты не находили археологи, работая на территориях Древнего Египта и Древней Персии, Сиро-Финикии и Месопотамии, Малой и Средней Азии. Из-под земли извлекали троны с когтистыми лапами, пластины с расцветающие змееногими богинями, ткани с птицехвостыми собаками, росписи с крыл

👍17🔥95👏1

19 Jul 2026, 14:23 UTC≈1,660 views28 reactionsread 12 August 2026

Привет! Я тут запустил простой канал с новостями науки https://t.me/ScienceNewsAI Всё делают ИИ, так, что сильно его не ругайте. Будут изменения визуальные и по механике. Приветствуются критика и идеи ) надеюсь вам понравится

👍14🔥8🤔5🤩1

17 Jul 2026, 15:21 UTC≈1,680 views51 reactionsread 12 August 2026

"Бензин закончится?" - совершенно огненная лекция Дениса Байгозина на ЛАБЕ+ Нефть — это кровь цивилизации, черное золото, источник бензина, пластика, асфальта, синтетических тканей, косметики и тысяч веществ, о которых мы обычно не думаем. Что такое нефть с точки зрения химии? Правда ли, что она “из динозавров”? Почему бензин бывает 92, 95 и 98 и что на самом деле означает октановое число? Как рождается нефть, поч

🔥29👍16👏31💯1🤩1

14 Jul 2026, 13:43 UTC≈1,800 views32 reactionsread 12 August 2026

Большинство новых опасных заболеваний человека имеют животное происхождение. COVID-19, бешенство, болезнь Лайма, клещевой энцефалит — лишь часть длинного списка инфекций, которые способны передаваться человеку через животных, клещей, грызунов или даже окружающую среду. https://youtu.be/yLYTc3wOMo0 Если не работает Ютюб можно посмотреть тут Вопросы тут

🔥20👍10👏2

10 Jul 2026, 15:16 UTC≈1,750 views27 reactionsread 12 August 2026

YouTube Как вирусы научились обманывать иммунную систему. Зоя Коробова Enjoy the videos and music you love, upload original content, and share it all with friends, family, and the world on YouTube. "Как вирусы научились обманывать иммунную систему" - новое видео на ЛАБЕ+ Как устроена иммунная система и почему вирусам удаётся обходить её защиту. Поговорим о врождённом и адаптивном иммунитете, работе иммунных клеток,

👍156🔥6

Showing the 12 most recent of 22 posts we hold for @ScienceVideoLab. 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 — 532,988 of 1,169,250entries 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

Republished by

Channels on the register that have forwarded this channel's posts into their own feed.

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

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.

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.

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.

“Лаборатория Научных Видео” (@ScienceVideoLab), 5,554 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/ScienceVideoLab.

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.