Telegram RegisterThe public register of Telegram

Channel

СКИФ

@srfskif

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

4,274subscribers

+62 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-1001770388107
TypeChannel
Username@srfskif
Created24 December 2021measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live13 August 2026
Measurements held4
Confirmed unchanged1 time, most recently 13 August 2026
On Telegramt.me/srfskif

Growth

4,2124,2744,2436 August 2026 — 4,212 subscribers6 August 2026 — 4,212 subscribers9 August 2026 — 4,219 subscribers13 August 2026 — 4,274 subscribers6 August 202613 August 2026
4 measurements spanning 7 days, net +62. 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 4,203–4,283 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
13 Aug 2026, 00:574,274+55
9 Aug 2026, 22:154,219+7
6 Aug 2026, 23:114,212no change
6 Aug 2026, 12:044,212first reading

Engagement

8 posts held, back to 23 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 5 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
29.2%
avg views ÷ 4,274 subscribers
Avg views / post
1,250
1 post measured
Reaction rate
3.20%
reactions ÷ views · ER floor
Posts in window
1
of 8 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 24 July 2026
Posts held8 (23 June 202624 July 2026)
Views total1,250
Reactions total40
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken8 Aug 2026, 12:03 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.

Reaction mix

354 reactions across 7 posts, in 15 distinct kinds. The most used accounts for 34.5% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🔥12234.5%
7621.5%
👍5515.5%
👏329.04%
custom 5469741319330996757205.65%
😁123.39%
❤‍🔥102.82%
61.69%
🍾61.69%
🆒51.41%
🤩51.41%
🤔20.565%
10.282%
😍10.282%
🤯10.282%

Custom emoji. One row above is a Telegram custom emoji, which the public preview renders as an element carrying only a numeric id — no character, and no image we can reach. The id is printed as-is rather than substituted with a look-alike glyph, because a stand-in would be our invention showing where a measurement should be. The count beside it isTelegram’s.

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 7 of the 8 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 354reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 8 most recent posts we hold, published 23 June 2026 to 24 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

24 Jul 2026, 03:49 UTC≈1,250 views40 reactionsread 8 August 2026

Смотрите лекцию Дарьи Дороховой и узнаете: 💫 Зачем человечеству понадобились ускорители частиц 💫 Как появился синхротрон и что такое синхротронное излучение 💫 Что делает СКИФ лучшим источником синхротронного излучения среди "одноклассников" ... и почему мы обреченно плачем, когда нас спрашивают: "Как там ваш КОЛЛАЙДЕР?" 😭😂

🔥15😁7👍6👏641custom 54697413193309967571

9 Jul 2026, 15:02 UTC≈2,000 views68 reactionsread 8 August 2026
Forwarded from @minobrnaukiofficialPhoto

⚡️ Валерий Фальков: Ростехнадзор выдал заключение о соответствии всем параметрам и требованиям ЦКП «СКИФ» Об этом глава Минобрнауки России сообщил на пленарном заседании XIV Всероссийского съезда советов молодых ученых и студенческих научных обществ. «Сегодня, 9 июля, Ростехнадзор выдал заключение о соответствии всем параметрам и требованиям, и можно сказать, что Сибирский кольцевой источник фотонов — ЦКП «СКИФ» —

🔥32👍12👏9🍾6😁431🤯1

9 Jul 2026, 07:29 UTC≈1,910 views35 reactionsread 8 August 2026

⛱ На пляже хорошо, а в магистратуре лучше Приглашаем бакалавров (химиков, биологов, физиков, геологов) на междисциплинарную магистерскую программу Новосибирского государственного университета "Методическое обеспечение физико-химических исследований конденсированных фаз". В рамках программы вы освоите дифракционные и спектроскопические методы, без которых сегодня немыслимо исследование веществ, материалов, природных

🔥1955👍5😁1

6 Jul 2026, 08:35 UTC≈1,780 views50 reactionsread 8 August 2026
Forwarded from @BudkerINP

23 июня на площадке Центра коллективного пользования «Сибирский кольцевой источник фотонов» (ЦКП «СКИФ») прошел пресс-тур, посвященный успешному завершению испытаний первого устройства генерации синхротронного излучения ЦКП «СКИФ» — сверхпроводящего вигглера для экспериментальной станции «Быстропротекающие процессы». 👀На каком этапе находится сборка оборудования для экспериментальных станций и как выглядит СКИФ сего

🔥2114❤‍🔥10👏4😍1

1 Jul 2026, 08:16 UTC≈2,280 views60 reactionsread 8 August 2026
Photo

🦠 Ученые разрабатывают прогностическую модель для поиска новых противовирусных соединений 📈Точность прогноза превышает 80%. Коллектив российских ученых работает над созданием прогностической модели для оценки противовирусного потенциала малых молекул в отношении патогенных вирусов. На сегодняшний день в тестовом режиме уже запущена модель для быстрого отбора эффективных и нетоксичных соединений против вируса оспы.

🔥2613👏13👍6custom 54697413193309967572

24 Jun 2026, 10:03 UTC≈2,200 views53 reactionsread 8 August 2026
Forwarded from @ultimate_engineerPhoto

📍Как в Сибири готовятся просвечивать материю до атомов? Заглянули внутрь СКИФа Передовой российский синхротрон, который будет просвечивать вещество до отдельных атомов, строили под Новосибирском почти пять лет, и в этом году он начнет работу. С помощью этого ускорителя будут изучать, как ведут себя молекулы для потенциальных лекарств и катализаторов в нефтехимии, кристаллы белков и полупроводниковые структуры. ⚙️

👍2316🔥8🤩5🤔1

23 Jun 2026, 10:56 UTC≈2,500 views48 reactionsread 8 August 2026
Photo

💫 Первый сверхпроводящий магнит-генератор синхротронного излучения СКИФ готов к установке в накопительное кольцо Сверхпроводящий вигглер, предназначенный для генерации синхротронного излучения (СИ) для станции 1-3 "Быстропротекающие процессы" прошел все испытания и готов к установке в накопительное кольцо. Монтаж устройства планируется осенью 2026 года после получения стабильной циркуляции пучка электронов в накопит

21custom 546974131933099675717🆒5👍3🔥1🤔1

Showing the 8 most recent of 8 posts we hold for @srfskif. 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 — 188,250 of 1,169,250entries 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

Republished by

Channels on the register that have forwarded this channel's posts into their own feed.

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 3 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.

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

“СКИФ” (@srfskif), 4,274 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/srfskif.

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.