Channel
@cifrovoiklub
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
3,366subscribers
-16 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 3,162–10,000.
| Telegram ID | -1001732028594 |
|---|---|
| Type | Channel |
| Username | @cifrovoiklub |
| Created | Between 1 December 2021 and 30 April 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 17 August 2026 |
| Measurements held | 5 |
| Confirmed unchanged | 1 time, most recently 17 August 2026 |
| On Telegram | t.me/cifrovoiklub |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 17 Aug 2026, 22:08 | 3,366 | -5 |
| 14 Aug 2026, 17:14 | 3,371 | -9 |
| 11 Aug 2026, 05:21 | 3,380 | -2 |
| 7 Aug 2026, 16:01 | 3,382 | no change |
| 7 Aug 2026, 15:58 | 3,382 | first reading |
20 posts held, back to 31 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 2 pagesof Telegram’s post history, 20 posts per page.
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 10 of 20 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 7 August 2026 |
|---|---|
| Posts held | 20 (31 July 2026 – 7 August 2026) |
| Views total | 3,088 |
| Reactions total | 12 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 7 Aug 2026, 23:25 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.
Measured directly from 5 videos 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.
12 reactions across 10 posts, in 5 distinct kinds. The most used accounts for 50.0% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 6 | 50.0% | |
| ❤ | 3 | 25.0% | |
| 👎 | 1 | 8.33% | |
| 💯 | 1 | 8.33% | |
| 😁 | 1 | 8.33% |
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 10 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 12reactions 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 31 July 2026 to 7 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.
💃 В эфире наша рубрика «пятничное настроение» Итак, все просто: ➡️ Придумайте смешную подпись к гифке ➡️ Напишите ее в комментариях под данным постом ➡️ Автору самой смешной подписи мы начислим 30 РЭАлов! ➡️ Кто не хочет генерировать забавные подписи, просто оставляйте реакции на самом понравившемся комментарии. Не исключено, что выбор большинства поможет нам определиться к кому уйдут РЭАлы. 👛 #пятничное_настроени
⛸ Фигурное катание выходит на новый уровень Теперь этим занимаются даже роботы. Источник Мы в Макс #интересное@cifrovoiklub
👎1
Математик заявил, что с помощью Fable 5 опроверг гипотезу Якобиана Математик Левент Альпеге заявил, что с помощью модели Claude Fable 5 нашёл контрпример к гипотезе Якобиана — одной из старейших нерешённых задач алгебраической геометрии. По его словам, найденный пример опровергает гипотезу, над которой математики работали почти 90 лет, однако результаты ещё предстоит пройти полноценную научную проверку. Эта история…
На уверенном чисто двигаться нужно Источник #юмор@cifrovoiklub
В Красноярске создали дрон, который заряжает другие беспилотники в небе В Красноярске разработали гибридный беспилотник, который может выступать воздушной зарядной станцией для других дронов. Аппарат сочетает электродвигатели, гелиевую оболочку и солнечные панели, что позволяет ему дольше находиться в воздухе и вырабатывать дополнительную энергию во время полёта. Помимо беспроводной подзарядки других БПЛА с помощью…
📚 Так выглядит процесс промышленного сканирования книг Подобная установка без вреда страницам может отсканировать плоть до 2550 страниц в час. Источник Мы в Макс #интересное@cifrovoiklub
👍1
Без руля и педалей: как устроены современные роботакси Роботакси постепенно становятся частью городской транспортной системы. Современные беспилотные автомобили уже проходят коммерческую эксплуатацию и испытания в США, Китае и России, а ведущие компании разрабатывают модели без руля и педалей, оснащённые камерами, лидарами, радарами и системами искусственного интеллекта для полностью автономного движения. Новые про…
pov: вы с коллегами решили устроить тимбилдинг Источник #юмор@cifrovoiklub
В России появился технологичный способ борьбы с колорадским жуком Учёные НГУ разработали систему на базе искусственного интеллекта, которая с помощью беспилотника обнаруживает взрослых колорадских жуков прямо на картофельных полях. Дрон анализирует изображения в режиме реального времени, определяет местоположение вредителей и передаёт агроному карту с очагами заражения, что позволяет проводить точечную обработку вме…
🥰 Самое милое за сегодня 2 китайских робота играют в камень-ножницы-бумага на пощёчины. Источник Мы в Макс #интересное@cifrovoiklub
❤1
Один робот — три тела: разработчики сами решают, нужны ему руки, ноги или колёса Компания LimX Dynamics представила модульную робототехническую платформу TRON 2, которую можно собрать в нескольких конфигурациях: с двумя руками, на двух ногах или с колёсными опорами. Робот самостоятельно перемещается, ориентируется в пространстве, поднимает предметы с пола и полок, а также способен работать в складах, производственны…
❤1👍1
Поиск от Google шарит за обстановку в России Источник #юмор@cifrovoiklub
Showing the 12 most recent of 20 posts we hold for @cifrovoiklub. 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 17 August 2026 — this entry's latest reading, not the date you are reading this.
“Цифровой клуб” (@cifrovoiklub), 3,366 subscribers as measured 17 August 2026. Telegram Register, tgregister.com/channel/cifrovoiklub.
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.