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Channel

(sci)Berloga Всех Наук и Технологий

@sberlogabig

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Telegram's recommendations · Cite this entry

8,017subscribers

+151 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-1001560440781
TypeChannel
Username@sberlogabig
DescriptionМультидисциплинарный канал о науке и технологиях. Data Science, Bioinformatics, Biology, Mathematics, Physics, IT, Computer Science. @sberlogabio био и дата сайнс @sberlogasci математика, физика и ДС https://www.youtube.com/c/SciBerloga
Created25 January 2022 — measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live3 November 2026
Measurements held23
Confirmed unchanged2 times, most recently 3 November 2026
On Telegramt.me/sberlogabig

Topic

Technology — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 12 September 2026 and assigned it the closest of 31 fixed categories, at 47% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and the other topics.

Growth

7,8528,0347,9436 August 2026 — 7,866 subscribers7 August 2026 — 7,864 subscribers10 August 2026 — 7,866 subscribers13 August 2026 — 7,861 subscribers16 August 2026 — 7,862 subscribers19 August 2026 — 7,858 subscribers23 August 2026 — 7,855 subscribers26 August 2026 — 7,854 subscribers29 August 2026 — 7,852 subscribers1 September 2026 — 7,865 subscribers5 September 2026 — 7,866 subscribers10 September 2026 — 7,864 subscribers14 September 2026 — 7,916 subscribers19 September 2026 — 7,925 subscribers28 September 2026 — 8,010 subscribers6 October 2026 — 8,013 subscribers12 October 2026 — 8,017 subscribers15 October 2026 — 8,027 subscribers18 October 2026 — 8,031 subscribers21 October 2026 — 8,034 subscribers25 October 2026 — 8,033 subscribers28 October 2026 — 8,016 subscribers31 October 2026 — 8,017 subscribers8,0176 August 202631 October 2026
23 measurements spanning 86 days, net +151. 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 7,825–8,061 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 23
Measured (UTC)SubscribersChange
31 Oct 2026, 13:558,017+1
28 Oct 2026, 13:158,016-17
25 Oct 2026, 05:388,033-1
21 Oct 2026, 19:068,034+3
18 Oct 2026, 12:188,031+4
15 Oct 2026, 15:568,027+10
12 Oct 2026, 11:278,017+4
6 Oct 2026, 00:228,013+3
28 Sept 2026, 22:148,010+85
19 Sept 2026, 06:397,925+9
14 Sept 2026, 12:567,916+52
10 Sept 2026, 13:397,864-2
5 Sept 2026, 00:377,866+1
1 Sept 2026, 04:447,865+13
29 Aug 2026, 05:357,852-2
26 Aug 2026, 00:057,854-1
23 Aug 2026, 00:287,855-3
19 Aug 2026, 23:227,858-4
16 Aug 2026, 20:587,862+1
13 Aug 2026, 01:377,861first reading

Engagement

33 posts held, back to 17 May 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 25 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
19.9%
avg views ÷ 8,017 subscribers
Avg views / post
1,590
4 posts measured
Reaction rate
0.958%
reactions ÷ views · ER floor
Posts in window
4
of 33 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 26 October 2026
Posts held33 (17 May 2026 – 26 October 2026)
Views total6,370
Reactions total61
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken5 Nov 2026, 23:38 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
358
Videos
13
Links
397

Lifetime counters from Telegram’s own channel header, read 5 November 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.

Video runtime
3m 41s
Average length
1m 51s

Measured directly from 2 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.

Reaction mix

598 reactions across 33 posts, in 6 distinct kinds. The most used accounts for 48.2% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🔥28848.2%
❤18530.9%
👍7712.9%
🤩193.18%
😁162.68%
🎉132.17%

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 33 of the 33 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 598 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 33 most recent posts we hold, published 17 May 2026 to 26 October 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.

Recent posts

Telegram’s own ‘edited’ marker: 0 of 4 posts held from the last 30 days (0%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).

26 Oct 2026, 13:06 UTC≈1,330 views11 reactionsread 5 November 2026
Photo

🤖 ChatGPT, составь протокол эксперимента. Claude, обработай результаты. А кто будет отвечать, если всё пойдёт не по плану? ИИ осваивает новые задачки, хотим мы этого или нет. И часто представители «мокрых» направлений выдыхают: «Нас-то он не заменит». А так ли это? Приходите разбираться на наш следующий вебинар «Обзор актуального состояния ИИ-индустрии и новинок ИИ в науке»! На встрече: • Для начала уточним базовы…

🔥7❤2👍1😁1

26 Oct 2026, 09:51 UTC≈1,150 views17 reactionsread 5 November 2026
Forwarded from @yoonik_ru

👋 Здравствуйте! Меня зовут Вадим, я разработчик Я сам был на семейном обучении: самостоятельно освоил школьную программу, потом окончил МГУ с красным дипломом. Поэтому знаю, как тяжело учиться самому, когда нет ничего удобного. Теперь на СО мои дети. Мне хотелось, чтобы они сами понимали, что делать каждый день, а не ждали, пока взрослый всё распланирует. Сначала распечатывал им ежедневные задания, потом сделал сай…

🔥12❤3😁2

25 Oct 2026, 09:40 UTC≈1,410 views12 reactionsread 5 November 2026
Photo

Нужные статьи с arXiv прямо в Telegram Следите за новыми исследованиями без ежедневного просмотра сотен аннотаций. В arXiv-боте можно настроить подписки по темам, авторам и научным разделам. Бот пришлёт подходящие публикации со ссылками на работы. Получать уведомления можно по мере появления статей или одной ежедневной подборкой. Всё бесплатно и без ограничений 👉 Настроить свою научную ленту

🔥10❤2

8 Oct 2026, 09:01 UTC≈2,480 views21 reactionsread 5 November 2026

ggmlR: Vulkan GPU-бэкенд для R В последнее время у всех, кто работает с ML, один и тот же рефлекс: хочешь GPU, ставь CUDA, Python и PyTorch. А если ты R-аналитик, то ещё и ищи, как всё это подружить с твоим кодом. Задача выполнима, но на практике это обычно плясать с бубном вокруг драйверов, окружений и версий. Поэтому был создан ggmlR: нативный GPU-бэкенд для R на базе GGML и Vulkan. Без CUDA, ROCm, Python, PyTorc…

🔥16❤3👍1😁1

25 Sept 2026, 14:12 UTC≈2,280 views10 reactionsread 5 November 2026
Photo

А можно аналитику без зоопарка из десяти сервисов? Кажется, вокруг данных действует какой-то негласный закон. Чем больше компания, тем больше инструментов нужно, чтобы просто понять, что у нее происходит. Один сервис забирает данные, второй их хранит, третий считает, четвертый рисует дашборды. А между всем этим живут интеграции, которые тоже надо настраивать и поддерживать. По данным Yandex B2B Tech, 70% аналитиче…

🔥7😁3

21 Sept 2026, 11:43 UTC≈2,340 views11 reactionsread 5 November 2026
Photo

Мастер-класс: превращаем сырой код в отчет или презентацию за 5 минут с Quarto Привет, это Иван Поздняков! Однажды я показывал научнику результаты своего анализа в виде красивого HTML-репорта с картинками и кодом. Научник говорит: «Супер, через 10 минут лабмитинг, там еще обсудим. Ты же сделал презентацию?». Я такой: «Ой, забыл». Но я выкрутился: поменял четыре буквы в шапке своего маркдаун-файла — с html на pptx. …

🔥7❤4

20 Sept 2026, 17:19 UTC≈1,800 views8 reactionsread 5 November 2026
Photo

Друзья! Давно ничего не писал — исправляюсь. Во-первых, следующая тема канала — избыточное кодирование — то, чем я занимаюсь последний год. Вкратце, избыточное кодирование — это о том, чтобы исправлять данные после частичного повреждения. Практически в любой ситуации когда данные хранятся долго или передаются в не очень благоприятной среде ошибки неизбежны и избыточное кодирование помогает от этого защититься. Самый…

👍5🔥2❤1

20 Sept 2026, 17:19 UTC≈1,540 views3 reactionsread 5 November 2026

Нашли интересный канал посвященный теории кодирования и применениям матеиатики - рекомендуем: https://t.me/a_zachem_eto_nuzhno/

🔥3

18 Sept 2026, 09:28 UTC≈1,970 views48 reactionsread 5 November 2026
Forwarded from @mathematics_not_for_youPhoto

Как дочь Байрона придумала программирование Ада Байрон родилась в 1815 году и была единственным законным ребёнком лорда Байрона. Но знаменитого отца она почти не знала: родители расстались вскоре после её рождения, а Байрон навсегда уехал из Англии. Мать Ады, опасаясь, что дочь унаследует отцовскую «поэтическую безумность», сделала ставку на математику и логику. Но поэзия никуда не исчезла - просто Ада начала видеть…

🔥28❤15👍3🤩2

13 Sept 2026, 07:10 UTC≈3,160 views16 reactionsread 5 November 2026
Photo

🚀 @SBERLOGASCI webinar on data science: 👨‍🔬 Никита Бухал: "Пример разработки агентов" ⌚️ сегодня 13 Сентября , Воскресение, 19.00 по Москве Предлагаю написать простого LLM-агента (а-ля Claude Code) с нуля. Разберём, как выглядят запросы к OpenAI Chat Completions API и что собой представляет agent loop. Если останется время, обсудим также разные точки зрения на процесс усложнения структуры агентов. В качестве LLM-п…

🔥13😁2👍1

12 Sept 2026, 08:57 UTC≈39,000 views36 reactionsread 5 November 2026
Photo

Коллеги, мы сейчас пытаемся заставить ллм продвигать математику. В нашем проекте CayleyPy у нас много гипотез которые идеально ложатся на ллм - с одной стороны они (вероятно) не супер сложны (доступны для ЛЛМ), с другой стороны достаточно нетривиальны. Если у кого есть интерес к коллаборации в этом направлении - будем очень рады - напишите @alexander_v_c Также, если у Вас есть доступы к мощным моделям или опыт в…

❤25🔥7👍4

7 Sept 2026, 10:59 UTC≈2,880 views58 reactionsread 5 November 2026
Forwarded from @doomgradVideo

Друзья, пет-проект, над которым работал полгода, получилось довести до ума. Это читалка для многоязычных книг с кучей прикольных режимов чтения и подсказками типа составления словарей и грамматических мини-статей по текущему контексту. Языков сейчас 10 и буду добавлять туда любые языки, какие захотите, и делать больше параллельных книг. Сейчас работаю над удобным импортом, так что скоро можно будет грузить туда свои…

❤42👍10🎉4🤩2

Showing the 12 most recent of 33 posts we hold for @sberlogabig. 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.

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 7 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.

Appears in Telegram’s recommendations for other channels

The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.

Sci_Career
@sci_career · 30,658
Telegram ranks this channel #17 of 92 here — alongside 91 others — read 7 September 2026
АНЧА БАРАНОВА
@anchabaranova · 35,885
Telegram ranks this channel #19 of 98 here — alongside 97 others — read 2 September 2026
Ordo Nexus
@nexus_search · 66,803
Telegram ranks this channel #25 of 74 here — alongside 73 others — read 22 August 2026
Русский research
@trueresearch · 26,517
Telegram ranks this channel #28 of 95 here — alongside 94 others — read 12 September 2026
Зоопарк из слоновой кости
@ivoryzoo · 32,006
Telegram ranks this channel #28 of 97 here — alongside 96 others — read 6 September 2026
Data Science Jobs
@datasciencejobs · 22,544
Telegram ranks this channel #30 of 93 here — alongside 92 others — read 21 September 2026
Kali Novskaya
@rybolos_channel · 19,133
Telegram ranks this channel #34 of 93 here — alongside 92 others — read 4 October 2026
Yandex for ML
@yandexforml · 19,130
Telegram ranks this channel #47 of 96 here — alongside 95 others — read 4 October 2026
Медач | Medical Channel
@medach · 27,957
Telegram ranks this channel #47 of 97 here — alongside 96 others — read 10 September 2026
Data Science Jobs
@datascienceml_jobs · 21,625
Telegram ranks this channel #48 of 97 here — alongside 96 others — read 24 September 2026
Поясни за мед
@poyasni_za_med · 22,218
Telegram ranks this channel #48 of 97 here — alongside 96 others — read 21 September 2026
gonzo-обзоры ML статей
@gonzo_ML · 24,673
Telegram ranks this channel #63 of 93 here — alongside 92 others — read 16 September 2026
Take Friends to Luna Park
@hrlunapark · 20,975
Telegram ranks this channel #66 of 88 here — alongside 87 others — read 28 September 2026
Data Secrets
@data_secrets · 95,989
Telegram ranks this channel #66 of 98 here — alongside 97 others — read 17 August 2026
Онкология простыми словами
@oncolya · 27,621
Telegram ranks this channel #80 of 98 here — alongside 97 others — read 11 September 2026
LLM под капотом
@llm_under_hood · 30,107
Telegram ranks this channel #85 of 96 here — alongside 95 others — read 9 September 2026
Machinelearning
@ai_machinelearning_big_data · 276,342
Telegram ranks this channel #88 of 95 here — alongside 94 others — read 10 August 2026
Machine learning Interview
@machinelearning_interview · 30,575
Telegram ranks this channel #94 of 98 here — alongside 97 others — read 7 September 2026

This channel appears in 18 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.

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 31 October 2026 — this entry's latest reading, not the date you are reading this.

“(sci)Berloga Всех Наук и Технологий” (@sberlogabig), 8,017 subscribers as measured 31 October 2026. Telegram Register, tgregister.com/channel/sberlogabig.

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.