Telegram RegisterThe public register of Telegram

Channel

ПИШ МГУ

@pish_msu

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

173subscribers

+0 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID-1002036591832
TypeChannel
Username@pish_msu
CreatedBetween 1 November 2023 and 31 May 2024— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded8 August 2026
Last confirmed live8 August 2026
Measurements held2
On Telegramt.me/pish_msu

Growth

1737 Aug 2026, 14:55 — 173 subscribers8 Aug 2026, 14:31 — 173 subscribers7 Aug 2026, 14:558 Aug 2026, 14:31
2 measurements taken within a single day. 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 172–174 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
8 Aug 2026, 14:31173no change
7 Aug 2026, 14:55173first reading

Engagement

10 posts held, back to 20 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
32.9%
avg views ÷ 173 subscribers
Avg views / post
57.0
2 posts measured
Reaction rate
6.14%
reactions ÷ views · ER floor
Posts in window
2
of 10 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 30 July 2026
Posts held10 (20 June 202630 July 2026)
Views total114
Reactions total7
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken8 Aug 2026, 14:31 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
253
Videos
5
Links
67

Lifetime counters from Telegram’s own channel header, read 8 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
2s
Average length
2s

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

42 reactions across 8 posts, in 4 distinct kinds. The most used accounts for 52.4% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🔥2252.4%
👍1023.8%
🏆819.0%
24.76%

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 8 of the 10 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 42reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 10 most recent posts we hold, published 20 June 2026 to 30 July 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

30 Jul 2026, 16:16 UTC64 views3 reactionsread 8 August 2026

💡 Исследователи Факультета биоинженерии и биоинформатики, Химического факультета и Передовой инженерной школы МГУ разработали гибридные молекулы, способные лечь в основу нового класса антибиотиков, направленного на борьбу с устойчивыми штаммами бактерий. Подробнее читайте в материале пресс-службы МГУ:

🔥2🏆1

30 Jul 2026, 16:16 UTC50 views4 reactionsread 8 August 2026
Forwarded from @naukamsuPhoto

«Двойной удар» против супербактерий #наука_мгу Коллектив ученых МГУ разработал новый класс гибридных молекул на основе гепотидацина и линезолида, способных одновременно подавлять топоизомеразу II и блокировать бактериальную рибосому. Такой двойной механизм действия оставляет патогенам гораздо меньше шансов выработать устойчивость. С помощью молекулярного докинга, молекулярной динамики и генеративной нейросети команд

🔥3👍1

15 Jul 2026, 08:01 UTC85 views7 reactionsread 8 August 2026
Forwarded from @bioengmsuPhoto

🔥 ФармаДайджест от ФББ Встречайте: новый ежемесячный дайджест о главных новостях в области фармацевтики и наук о жизни. В каждом выпуске рассказываем всё об инновациях, меняющих медицину, о визионерских фармкомпаниях, крупнейших сделках отрасли и громких изменениях в регуляторной политике. В дебютном выпуске, приуроченном к событиям июня, читайте: 🔵о первом клиническом испытании омоложения клеток 🔵о роли метаболизм

🏆3👍2🔥2

30 Jun 2026, 13:47 UTC835 views5 reactionsread 8 August 2026
Photo

⭐️ ФББ МГУ совместно с Институтом развития фармацевтической и медицинской индустрии (ИРМФИ) провели деловую дискуссию «Диалог государства и индустрии. Инновации: от разработки до внедрения». 26 июня повестка дня строилась вокруг актуального вопроса: как выстроить систему, в которой инновационные препараты доходят до пациентов без потери качества, скорости и экономической доступности. «У нас есть сильная наука, перс

🔥5

29 Jun 2026, 15:50 UTC92 views12 reactionsread 8 August 2026
Forwarded from @bioengmsuPhoto

🔥 Дорогие выпускники, поздравляем Вас с окончанием Факультета биоинженерии и биоинформатики! Вы проделали огромный путь к своей цели, и сегодняшний день является отправной точкой к дальнейшим достижениям и мечтам. Пусть все белки сворачиваются правильно, все данные выравниваются, а ошибки становятся драгоценным опытом. Гордимся Вами и делимся пожеланиями, прозвучавшими во время вручения дипломов: «Большая честь по

🔥9👍2🏆1

20 Jun 2026, 10:45 UTC114 views2 reactionsread 8 August 2026
Forwarded from @bioengmsuPhoto

Оксана Минакова, преподаватель кафедры экономики инноваций Экономического факультета МГУ, в рамках трека «Управление высокотехнологичными проектами» говорит о менеджменте, маркетинге, регуляторике и других важнейших аспектах фарминдустрии 🫥

👍2

20 Jun 2026, 10:45 UTC112 viewsread 8 August 2026
Forwarded from @bioengmsuVideo message

Video message, posted without a caption

20 Jun 2026, 10:45 UTC117 viewsread 8 August 2026
Forwarded from @bioengmsu

Арсений Зинкевич, старший преподаватель ФББ МГУ и менеджер магистратуры «Применение машинного обучения в биологии», в рамках трека «Машинное обучение» рассказывает об анализе больших биологических данных и неоспоримой важности ML в работе биоинформатика 🫥

20 Jun 2026, 10:44 UTC96 views3 reactionsread 8 August 2026
Forwarded from @bioengmsuPhoto

Александр Хайменов, к.м.н., старший преподаватель ФББ МГУ и руководитель R&D в международной фармацевтической компании, в рамках трека «Промышленная фармация» освещает исследования и разработку в фармкомпаниях как часть жизненного цикла лекарств 🫥

🏆1👍1🔥1

20 Jun 2026, 08:03 UTC102 views6 reactionsread 8 August 2026
Forwarded from @blastimPhoto

🔵 Прямое включение с Воробьевых гор Друзья, сегодня команда Бластим проводит субботу в альма-матер основателей компании Юры и Виты — на факультете биоинженерии и биоинформатики МГУ им. М.В. Ломоносова. Мы участвуем в интенсиве «Карьера в биомедицине: фарма, AI и управление». Организаторы долго готовились, чтобы всем было комфортно и полезно. Впереди — теорминимум лекций, практики и живое общение с преподавателями Ф

2🏆2👍2

Showing the 10 most recent of 10 posts we hold for @pish_msu. 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.

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 8 August 2026 — this entry's latest reading, not the date you are reading this.

“ПИШ МГУ” (@pish_msu), 173 subscribers as measured 8 August 2026. Telegram Register, tgregister.com/channel/pish_msu.

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.