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Channel

Вениамин Фишман

@fishmanvs

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

1,295subscribers

+23 since we began measuring on 6 August 2026

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

Register entry

Telegram ID-1001975210475
TypeChannel
Username@fishmanvs
CreatedBetween 1 April 2023 and 31 October 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live16 August 2026
Measurements held5
Confirmed unchanged1 time, most recently 16 August 2026
On Telegramt.me/fishmanvs

Growth

1,2721,2951,283.56 August 2026 — 1,272 subscribers7 August 2026 — 1,272 subscribers10 August 2026 — 1,275 subscribers13 August 2026 — 1,288 subscribers16 August 2026 — 1,295 subscribers6 August 202616 August 2026
5 measurements spanning 10 days, net +23. 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 1,269–1,298 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
16 Aug 2026, 18:271,295+7
13 Aug 2026, 06:041,288+13
10 Aug 2026, 04:481,275+3
7 Aug 2026, 00:231,272no change
6 Aug 2026, 16:361,272first reading

Engagement

19 posts held, back to 10 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 1 pageof Telegram’s post history, 20 posts per page.

ERR · 30 days
144.3%
avg views ÷ 1,295 subscribers
Avg views / post
1,870
4 posts measured
Reaction rate
1.77%
reactions ÷ views · ER floor
Posts in window
4
of 19 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. It is computed over the 3 of 4 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 1 August 2026
Posts held19 (10 June 20261 August 2026)
Views total7,474
Reactions total120
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken6 Aug 2026, 16:36 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

769 reactions across 18 posts, in 25 distinct kinds. The most used accounts for 28.3% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
21828.3%
🔥18323.8%
👍9412.2%
🤯8010.4%
😁344.42%
🫡232.99%
😍202.60%
🤮162.08%
👀141.82%
🤔131.69%
121.56%
👏111.43%
🤩111.43%
🥰70.91%
🗿60.78%
😱60.78%
🙏40.52%
🤝40.52%
💔30.39%
💯30.39%
5 further kinds70.91%

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 18 of the 19 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 769reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 19 most recent posts we hold, published 10 June 2026 to 1 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

1 Aug 2026, 12:53 UTC681 viewsread 6 August 2026

Будет ли кто-то на ECCB в Швейцарии в сентябре? Мы не сможем приехать, хотели бы попросить повесить наш постер.

30 Jul 2026, 18:53 UTC903 views59 reactionsread 6 August 2026

Написал агента, который разбирает мои онлайн-семинары. Скрипт каждые 15 минут проверяет мой календарь -> Если есть событие, ищет пересекающуются по времени зум-встречу -> Забирает аудио и трансрипт от зума -> Расшифровывает звук при помощи Whisper-large -> Отправляет в ChatGPT расшифровку и транскрипт зума -> Промпт: - поправить опечатки, - сверить с контекстом проекта и прошлыми встречами, - сформулировать задачи д

🔥33🤯14👍10🌚1👀1

23 Jul 2026, 18:58 UTC≈3,380 views22 reactionsread 6 August 2026

Коллеги из группы Алексея Константиновича Шайтана попросили распространить информацию о позиции постдока в МГУ: Лаборатория искусственного интеллекта в геномике и инженерной биологии (AIGEN Lab) Биологического факультета МГУ имени М.В. Ломоносова, созданная под руководством ведущего ученого Сергея Анатольевича Шмакова в рамках масштабного мегагранта Российского научного фонда (РНФ) на 2026–2030 годы. Наша команда ра

10👍7🔥3😁2

21 Jul 2026, 04:15 UTC≈2,510 views39 reactionsread 6 August 2026

Институт AIRI создаёт лабораторию искусственного интеллекта в НГУ: https://www.nsu.ru/n/media/news/nauka/ngu-i-airi-sozdadut-sovmestnuyu-uchebno-nauchnuyu-laboratoriyu-industrialnogo-iskusstvennogo-intelle/

😍2012👍5🎉1😁1

16 Jul 2026, 17:55 UTC≈1,890 views22 reactionsread 6 August 2026
Photo

Photo, posted without a caption

🔥15😁5🤬1😱1

9 Jul 2026, 18:00 UTC≈2,050 views74 reactionsread 6 August 2026
Photo

В Новосибирске в самом разгаре конференция БГРС. Сегодня прошла секция по 3D-геномике. С удовольствием слушал работы из группы Сергея Владимировича Разина, Екатерины Евгеньевны Храмеевой, из нашей лаборатории - от биофизики полимеров до поиска хромосомных перестроек на основе Hi-C. И, конечно же, с огромным удовольствием вчера провели неформальную часть этого мероприятия. До новой встречи на следующем BGRS, будем жд

🔥5519

6 Jul 2026, 08:56 UTC≈2,160 views39 reactionsread 6 August 2026

Развернул Claude for Science для своей лаборатории. Вот первый отзыв. статьи плохо ищет, надо прям говорить где! в doi ошибается (биомни ни разу не ошибался) еще просит емейл для своего api-ключа, чтобы агента сайты не блочили или что-то такое… пока не знаю, в чем профит по сравнению с биомни (код, наверное, лучше пишет, но в остальном не знаю...) Ну может допилят ещё

😁2510🙏4

3 Jul 2026, 10:16 UTC≈1,760 views52 reactionsread 6 August 2026
Forwarded from @khokhlovAR

Вышло постановление Правительства РФ №750 «О передаче генетических данных человека за пределы территории Российской Федерации»: http://publication.pravo.gov.ru/document/0001202606190021 Постановление готовилось в соответствии с принятым ранее в этом году Федеральным законом №43-ФЗ от 20 февраля 2026 года, который запрещал передачу генетических данных человека иностранным физическим и юридическим лицам. Постановлени

🫡23🤮16🤯5💔3🤝32

3 Jul 2026, 08:14 UTC≈1,260 views31 reactionsread 6 August 2026
Forwarded from @nplus1

​Российские ученые создали нейросеть для картирования генов по последовательности ДНК https://nplus1.ru/news/2026/07/03/genatator

👍19👏111

1 Jul 2026, 15:08 UTC≈1,370 views40 reactionsread 6 August 2026
Forwarded from @anti_agi

Как разобрать геном по полочкам Прочитать последовательность ДНК сегодня нередко проще, чем понять её содержание. Секвенатор выдаёт длинную последовательность из A, T, G и C, но исследователям ещё нужно найти в ней гены, определить их границы, отделить экзоны от интронов и понять, какие участки кодируют белки. Для человека, мыши и нескольких других модельных организмов такие карты собирали десятилетиями. У большинс

25👍8🔥6👎1

1 Jul 2026, 08:46 UTC≈1,080 views28 reactionsread 6 August 2026

Коллеги попросили прорекламировать магистратуру ФББ МГУ по направлению "Применение машинного обучения в биологии". С удовольствием делюсь их постом. —- Зачем учиться, если всех заменит ИИ? Искусственный интеллект сегодня умеет писать код и решать дифференциальные уравнения. Кажется, обложившись чат-ботами и умными агентами, каждый из нас может заниматься чем пожелает. Но на самом деле это не так. Языковые модели

13🔥8🥰7

1 Jul 2026, 05:26 UTC≈1,410 views25 reactionsread 6 August 2026

Я многим рассказываю про phylo - облако для решения биоинформатических задач под управлением LLM. Вчера Claude анонсировал аналогичную систему - Claude for Science. Видео анонса можно посмотреть по ссылке: https://www.youtube.com/live/l-7BgzRkq1Y?si=TJGLlj7GXagzJhqZ&t=5011 Интересное начинается примерно с 1:20:00 (на этот момент ведет ссылка) - пример, в котором, как Claude for Science сама пишет и выполняет биоин

18🔥7

Showing the 12 most recent of 19 posts we hold for @fishmanvs. 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 — 405,058 of 1,481,306entries 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 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 16 August 2026 — this entry's latest reading, not the date you are reading this.

“Вениамин Фишман” (@fishmanvs), 1,295 subscribers as measured 16 August 2026. Telegram Register, tgregister.com/channel/fishmanvs.

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.