Telegram RegisterThe public register of Telegram
Telegram profile photo for Лабораторная YouTube

Channel

Лабораторная YouTube

@laboratornaya

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

1,214subscribers

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

Register entry

Telegram ID-1003839388305
TypeChannel
Username@laboratornaya
Descriptionделюсь своими мыслями о ютубе личка - @parabablo для друга - https://telegram.me/+e7V-QktC0Hc2OTcy
First recorded27 September 2026
Last confirmed live27 September 2026
Measurements held1
On Telegramt.me/laboratornaya

Growth

Growth history is still building. We hold one measurement for this entry. A trend needs at least two, taken days apart — so this will fill in on its own rather than being estimated. We do not publish numbers we have not measured.

Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
27 Sept 2026, 04:221,214first reading

Engagement

17 posts held, back to 24 July 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.

ERR · 30 days
48.7%
avg views ÷ 1,214 subscribers
Avg views / post
591
3 posts measured
Reaction rate
2.37%
reactions ÷ views · ER floor
Posts in window
3
of 17 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 21 September 2026
Posts held17 (24 July 2026 – 21 September 2026)
Views total1,773
Reactions total42
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken27 Sept 2026, 04:22 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

Photos
69
Links
43

Lifetime counters from Telegram’s own channel header, read 27 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.

Reaction mix

275 reactions across 17 posts, in 4 distinct kinds. The most used accounts for 56.0% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🔥15456.0%
❤7426.9%
👍4315.6%
🤯41.45%

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 17 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 275 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 17 most recent posts we hold, published 24 July 2026 to 21 September 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
2
across the posts below
Posts paid on
2
of 17 we hold a reading for · 12%
Most on one post
1
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @laboratornaya. 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 17 most recent posts we hold for this entry, published 24 July 2026 to 21 September 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

21 Sept 2026, 12:55 UTC397 views8 reactions1 Starread 27 September 2026

У нас идёт розыгрыш, и до конца осталось совсем немного - итоги подводим 27 сентября. Многие написали, что в прошлый раз было лень подписываться на каналы по одному - список длинный, пальцы устают. Я вас понял. Сделали проще: теперь все каналы собраны в одну папку. Жмёте на ссылку - подписываетесь одной кнопкой на всё сразу: https://t.me/addlist/tcslJI9N50NmYmZi Потом возвращаетесь в пост с розыгрышем и нажимаете …

🔥4❤2👍2

18 Sept 2026, 16:30 UTC636 views15 reactionsread 27 September 2026
Photo

⚠️Дарим 10 ключей Фастгена + Нонстопа и 100 000 000 символов озвучки ElevenLabs! 20 призовых мест, шансы победить ОГРОМНЫЕ: 1-5 место — месячная подписка Video Medium на FastGen 5-10 место — месячная подписка Standart на VeoNonStop 11-20 место — 10 миллионов символов Lumean.app Условия элементарные, просто подписаться на эти каналы: @Grisha_Youtuber_2003 @kirill_roo @moneypassyt @TRAFFIC_BOYS @kiravacore @laborat…

🔥7👍5❤3

4 Sept 2026, 10:29 UTC740 views19 reactionsread 27 September 2026
Photo

YouTube обновил подсчёт просмотров - я сделал расширение, чтобы видеть реальные цифры Напомню: с недавнего обновления YouTube учитывает просмотр с первого кадра - даже при автозапуске ролика в ленте или наведении на превью. Из-за этого цифра под видео больше не показывает, сколько просмотров реально участвует в монетизации. YouTube называет эту метрику «заинтересованными просмотрами» (Engaged views). В расширении …

🔥14❤3🤯2

10 Aug 2026, 09:49 UTC557 views10 reactionsread 27 September 2026
Photo

Вот расширение, оно бесплатное для расставление рекламы - nexlev Первый скрин - настройка рекламы второй скрин - настроилась реклама

❤5🔥3🤯2

10 Aug 2026, 09:40 UTC479 views22 reactionsread 27 September 2026
Voice message

КАК ПРАВИЛЬНО РАССТАВЛЯТЬ РЕКЛАМУ, ЧТО БЫ ПОВЫСИТЬ РМП так же поделился будущим видением тг канала если наберете 15 лайков, то сделаю опросник и выберем темы для углубления понимания работы с ютубом, а не только буду выкладывать обзор ниш

❤15🔥4👍3

3 Aug 2026, 08:54 UTC539 views15 reactionsread 27 September 2026
Photo

НИША РАСКРЫВАЕТ РОДОСЛОВНЫЕ ЧЕРЕЗ ДНК канал ведется третий месяц, 73 ролика и уже 2.2 млн просмотров на длинных роликах по 30-40 минут. Этот американский канал через ДНК раскрывает родословные: чья кровь течёт в британских королях, кем были отцы-основатели США. Прикольный монтаж, использует визуальный хук в начале - добавляет текст и звук, основной видеоряд - это фото ИИ + фильтр на все видео, которое можно накин…

🔥10❤3👍2

2 Aug 2026, 04:20 UTC442 views8 reactionsread 27 September 2026
Photo

НИША САМОРАЗВИТИЕ каналу 12 месяцев, набрал 5 млн просмотров и 75к подписчиков ну не всегда же новые каналы показывать. Канал про саморазвитие: как побороть прокрастинацию, привычки, продуктивность, японские рутины. используют слайдовые фото + субтитры, ничего сложного. ролики идут немного, а выпускает раз в недельку. можно делать на другие языки, но я бы лучше просто подписался, поискал разные подниши и выбрал м…

🔥4❤2👍2

1 Aug 2026, 05:13 UTC419 views12 reactionsread 27 September 2026
Photo

НИША ИСТОРИИ ДЛЯ СНА канал ведётся уже 9 месяцев, выложили 309 роликов и набрали суммарно 17.7 млн просмотров Этот канал рассказывает историю так, чтобы под неё уснуть: спокойный голос, древние цивилизации, забытые империи. длинные ролики по 2-3 часа, так же переводит людей на spotifi и таким образом монетизирует свою аудиторию 3 недели назад завёл новый канал и начал продвигать с помощью соавторства, он уже нача…

🔥7❤3👍2

31 Jul 2026, 08:04 UTC433 views15 reactionsread 27 September 2026
Photo

НИША СТАРЕЙШИЕ ФАМИЛИИ НА ИСПАНСКОМ каналу 4 недели, 24 видео и 555к просмотров. Канал разбирает, откуда пошли испанские фамилии и к какой цивилизации восходит твоя кровь. И это та же ниша про происхождение фамилий, которую я уже обозревал на английском, только на испанском. То есть одну и ту же тему можно снимать под разные языки, и рынок каждый раз новый. в основном лучше так и делать. например увидели нишу на…

🔥11❤2👍2

29 Jul 2026, 06:03 UTC383 views15 reactions1 Starread 27 September 2026
Photo

НИША ПРО ДРЕЙВНИЕ ТАЙНЫ И АРХЕОЛОГИЮ каналу 1 месяц, собрал 1.6 млн просторов за 15 видео. Ролик выпускает раз в неделю. шокирующие открытия про потерянные цивилизации, древнюю ДНК и настоящее происхождение народов. В роликах он использует стоковые фотографии и видео, а так же ИИ слайды, но накидывает туда эффект движения из capcut. Делает ролики достаточно легко, но использует разные вставки и переходы, иногда до…

🔥10❤3👍2

28 Jul 2026, 07:03 UTC376 views16 reactionsread 27 September 2026
Photo

НИША: ЯПОНСКИЙ БЫТ И ПРИВЫЧКИ канал набрал 1.7 млн просмотров, 23.8к подписчиков за 21 видео на самом деле автор канала почти не заморачивается, ведь видеоряд состоит из сменяющих фотографий, я бы улучшил и начал добавлять вео3 кадры, хотя бы на этапах хука и раз в минуту 1-3 кадра для лучшего удержания но по сути, такие ролики по большей части слушают, когда что либо делают, а не смотрят, поэтому ролики хорошо на…

❤7🔥6👍3

Showing the 12 most recent of 17 posts we hold for @laboratornaya. 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.

Mentions

Named by 12 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 27 September 2026 — this entry's latest reading, not the date you are reading this.

“Лабораторная YouTube” (@laboratornaya), 1,214 subscribers as measured 27 September 2026. Telegram Register, tgregister.com/channel/laboratornaya.

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.