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Channel

(sci)Berloga Всех Наук и Технологий

@sberlogabig

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

7,866subscribers

+0 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 2022measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live10 August 2026
Measurements held3
Confirmed unchanged1 time, most recently 10 August 2026
On Telegramt.me/sberlogabig

Growth

7,8647,8667,8656 August 2026 — 7,866 subscribers7 August 2026 — 7,864 subscribers10 August 2026 — 7,866 subscribers6 August 202610 August 2026
3 measurements spanning 4 days. 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 7,864–7,866 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
10 Aug 2026, 07:207,866+2
7 Aug 2026, 03:467,864-2
6 Aug 2026, 09:057,866first reading

Engagement

17 posts held, back to 17 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 11 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
17.2%
avg views ÷ 7,866 subscribers
Avg views / post
1,350
7 posts measured
Reaction rate
1.17%
reactions ÷ views · ER floor
Posts in window
7
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 10 August 2026
Posts held17 (17 May 202610 August 2026)
Views total9,453
Reactions total111
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken12 Aug 2026, 17:03 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
348
Videos
12
Links
382

Lifetime counters from Telegram’s own channel header, read 12 August 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
1m 43s
Average length
1m 43s

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

291 reactions across 17 posts, in 6 distinct kinds. The most used accounts for 49.5% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🔥14449.5%
6723.0%
👍5117.5%
🤩155.15%
🎉93.09%
😁51.72%

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 291reactions 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 17 May 2026 to 10 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.

Recent posts

10 Aug 2026, 06:01 UTC833 views14 reactionsread 12 August 2026
Photo

Открытая онлайн-дискуссия «AI-агенты в single-cell» 12 августа в 19:00 Бластим приглашает на встречу «AI-агенты в анализе данных секвенирования единичных клеток: необходимость или информационный пузырь?» На одной площадке встретятся ведущие эксперты из МГУ, МФТИ и Медицинского университета Вены, чтобы поделиться позитивным и горьким опытом. Главный вопрос: может ли AI-агент взять на себя значительную часть рутинно

🔥93🎉2

5 Aug 2026, 14:30 UTC≈1,130 views10 reactionsread 12 August 2026
Photo

🔥AI R&D DAY — конференция для исследовательских команд и создателей ИИ-систем Мы активно готовимся к масштабной встрече в Москве 17 сентября и приглашаем вас стать частью этого события! Один день, 600 участников, 22 доклада, 2 трека — концентрат практического опыта, знаний и инструментов, готовых к внедрению сразу по возвращению в офис. И, конечно, мега-возможности для нетворкинга с коллегами и экспертами сообщества

👍64

4 Aug 2026, 10:00 UTC≈1,010 views17 reactionsread 12 August 2026
Forwarded from @datastorieslanguages

​​CayleyPy: Professor Tetraminx puzzle Месяц назад я рассказывал как участвовал в ресерч соревнованиях Cayley. С тех пор я поучаствовал в ещё одном соревновании - Professor Tetraminx. Напоминаю, что суть задачи - из рандомного состояния головоломки (после N поворотов) дойти в исходное за минимальное количество шагов. Поскольку это по факту групповой ресерч, не были цели собрать топ-решения самостоятельно - мы хоте

🔥98

3 Aug 2026, 14:00 UTC≈1,070 views6 reactionsread 12 August 2026
Photo

Завтра – последний день ранней цены на онлайн-воркшоп «Альфа, альфа, альфа»! bioinf.me/education/workshops/alpha_workshop 4 августа заканчивается период сниженной стоимости на онлайн-воркшоп по инструментам AlphaGenome, AlphaFold и AlphaMissense (8 и 15 августа). С 5 августа цена вырастет с 9 000 ₽ до 14 000 ₽. Воркшоп пройдет онлайн 8 и 15 августа и будет состоять из двух больших блоков: 🌑 8 августа – AlphaGenome

👍2🔥2😁2

27 Jul 2026, 09:19 UTC≈1,690 views12 reactionsread 12 August 2026
Photo

💡 За одно лето: машинное обучение с нуля до собственных проектов Про искусственный интеллект доносится из каждого утюга: что ни день, то очередная супермощная модель или прорывное открытие. Тут научились распознавать, здесь детектировать, там генерировать. В НИИ все тоже говорят об ИИ. Читаешь новые статьи — везде нейросети и куча заумных терминов. Многим ученым тоже хочется начать применять машинное обучение в сво

🔥7🤩31👍1

17 Jul 2026, 11:39 UTC≈2,080 views22 reactionsread 12 August 2026
Photo

Коллеги, привет! Меня зовут Василий Леоненко, я кандидат физико-математических наук, занимаюсь вычислительной эпидемиологией и моделированием живых систем. Я люблю предсказывать и прогнозировать. Люблю, когда модели интерпретируемы, а прогнозы понятны и однозначны. Поэтому я всегда предпочитал строгие математические законы и дифференциальные уравнения. Но жизнь меня заставила изменить свою точку зрения. В понедельн

👍13🔥54

15 Jul 2026, 20:15 UTC≈1,640 views30 reactionsread 12 August 2026
Forwarded from @forodirchNEWSPhoto

⚡️международный рекорд по сборке мегаминкса побит! Один из подходов на видео, и на соседнем -- запутывание. Результат 9.6 секунд. До этого известный результат 8 минут :-) Поздравляю команду starkit и Илью Осокина. И немножко горжусь что причастен :-) на днях будут хорошие видео и официальная новость. Такие дела:-)

21🔥9

10 Jul 2026, 07:19 UTC≈2,320 views18 reactionsread 12 August 2026
Photo

Мусор на входе — мусор на выходе: как выйти из порочного круга в ML? Когда речь заходит о машинном обучении, все сразу начинают обсуждать алгоритмы, метрики и функции потерь. Между тем любые модели, даже самые навороченные нейросети, учатся на данных. От их качества напрямую зависит успех. Если подать шумные и «грязные» датасеты, то и результаты окажутся бессмысленными. Поэтому львиную долю времени специалисты ML и

🔥11🤩32🎉2

9 Jul 2026, 13:21 UTC≈1,990 views9 reactionsread 12 August 2026
Photo

Поставим мировой рекорд на Физтехе? Приглашаем вас на событие, которое уже вписано в историю Физтеха, — установление мирового рекорда по сборке мегаминкса роботом. ❓ Зачем миру робот, который собирает мегаминкс? ❓ Решение головоломки и реальные проблемы: есть ли связь? ❓ Как перейти от теории к прикладным задачам? Расскажет лаборатория интеллектуальных технологий робототехники МФТИ! Проект поддержал Фонд целевого

🔥62😁1

8 Jul 2026, 07:39 UTC≈1,460 views16 reactionsread 12 August 2026
Forwarded from @datastorieslanguages

​​Cayley graph search с Claude Code: решение головоломок в 2026 с помощью агентов Я написал большой пост про два Kaggle-соревнования из серии CayleyPy — IHES Picture Cube и Megaminx. Это комбинаторные головоломки (кубик и додекаэдр), но по сути - поиск коротких путей в огромных неявных графах Cayley: вершины графа — это состояния головоломки, рёбра — это ходы, а решить пазл значит найти короткий путь до собранного с

🔥113👍2

23 Jun 2026, 16:08 UTC≈2,420 views18 reactionsread 12 August 2026
Photo

В Санкт-Петербурге 11 июля проходит Всероссийская ярмарка механических головоломок 2026 «Конференция Лоботряса». ЧТО это и для КОГО? ЧТО? Масштабная выставка-ярмарка механических головоломок со всего света, охватывающая множество направлений и уровней сложности. ДЛЯ КОГО? Мы приглашаем всех, кто не боится вызовов для своей логики, памяти, внимательности и пространственного воображения! Если вы едва знакомы с механиче

🔥8👍6🤩4

19 Jun 2026, 05:23 UTC≈2,300 views16 reactionsread 12 August 2026
Forwarded from @datastorieslanguages

Kaggle Nemotron Competition Writeup for the 1st place: codex написал весь код, но думать он не смог https://www.kaggle.com/competitions/nvidia-nemotron-model-reasoning-challenge/writeups/1st-place-solution Закончилось очередное соревнование на каггле. Участник победившей команды поделился опытом: "All code was written with Codex. We did not write a single line of code directly. However, the ideas, analysis directi

🔥132🤩1

Showing the 12 most recent of 17 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.

Citation-graph rank

Citation-graph rank — 126,822 of 1,151,006entries 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 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.

Machinelearning
@ai_machinelearning_big_data · 286,250
Telegram ranks this channel #88 of 95 here — alongside 94 others — read 10 August 2026

This channel appears in 1 seed channel's Telegram-generated recommendation list 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 10 August 2026 — this entry's latest reading, not the date you are reading this.

“(sci)Berloga Всех Наук и Технологий” (@sberlogabig), 7,866 subscribers as measured 10 August 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.