4 measurements spanning 6 days, net -2. 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 3,087–3,089 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
13 Aug 2026, 17:58
3,087
-1
10 Aug 2026, 21:31
3,088
-1
8 Aug 2026, 01:22
3,089
no change
7 Aug 2026, 06:45
3,089
first reading
Engagement
9 posts held, back to 22 July 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 3 pagesof Telegram’s post history, 20 posts per page.
ERR · 30 days
22.0%
avg views ÷ 3,087 subscribers
Avg views / post
678
9 posts measured
Reaction rate
1.46%
reactions ÷ views · ER floor
Posts in window
9
of 9 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
Window
Rolling 30 days · latest post in window 6 August 2026
Posts held
9 (22 July 2026 – 6 August 2026)
Views total
6,100
Reactions total
89
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
7 Aug 2026, 23:58 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
89 reactions across 9 posts, in 9 distinct kinds. The most used accounts for 37.1% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
👏
33
37.1%
❤
28
31.5%
🎉
7
7.87%
❤🔥
6
6.74%
👍
4
4.49%
🔥
4
4.49%
🤗
3
3.37%
😍
2
2.25%
😢
2
2.25%
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 9 of the 9 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 89reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 9 most recent posts we hold, published 22 July 2026 to 6 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.
Школа молодых ученых «Твоя интеллектуальная собственность» — снова на «Технопроме»
⏳27–28 августа
🌏Новосибирск
Школа молодых ученых «Моя интеллектуальная собственность» в четвертый раз пройдет на международном форуме технологического развития «Технопром». Преподаватели – ведущие специалисты ФИПС. В прошлом году число участников достигло 1200 человек.
Лекции, мастер-классы и практикумы охватят авторское и патентное…
Ценный экземпляр в вашу библиотеку: для всех, кто интересуется интеллектуальной собственностью
Комментарий к части четвертой Гражданского кодекса Российской Федерации (постатейный) в 2 томах, изданный в 2025 году, написан специалистами, которые непосредственно участвовали в работе над проектом части четвертой ГК, посвященной регулированию отношений в сфере интеллектуальной собственности (ИС), или над проектами внесе…
#ОбучениеФИПС
Остались бесплатные места на программу повышения квалификации «Интеллектуальная собственность в деятельности инженера по автоматизированным системам управления производством».
✅ Совместный проект ФИПС и Национального исследовательского Томского государственного университета (ТГУ). Удостоверения выдает ТГУ.
✅ Большая часть курса читается специалистами ФИПС.
▪ 72 академических часа: дистанционный модул…
ФИПС на старте: начинаем большой технологический марафон
Новосибирск объявляет начало большого технологического марафона в рамках подготовки к Форуму «Технопром-2026»!
Сотрудники Сибирского центра ФИПС приняли участие в открытой утренней зарядке и показали, что наука и технологии — это не только умственный труд, но энергия и активность.
Утренняя зарядка, организованная Министерством науки и инновационной политики…
📚 Чем заняться в воскресенье? Погрузиться в мир интеллектуальной собственности!
Журнал «Вестник ФИПС » ежеквартально знакомит своих читателей с научными исследованиями и аналитикой ИС-сферы.
Подготовили для вас подборку самых популярных публикаций журнала.
🔷 Индивидуальное изготовление лекарств по рецепту врача: анализ зарубежной правоприменительной практики и перспективы развития
Статья посвящена вопросам регулят…
🔧 Эксперты ФИПС – на Горьковском автозаводе
Провели трёхдневное обучение для 30 инженеров легендарного предприятия ГАЗ по программе «Основы патентного поиска и подготовки заявочных материалов».
Специалисты ГАЗа освоили тонкости оформления заявок на изобретения, полезные модели и промышленные образцы.
Слушатели отметили: полученные компетенции крайне важны для дальнейшего развития отрасли.
🎉ФИПС 66 лет: профессиональный праздник и заслуженные награды
260 сотрудников ФИПС удостоены ведомственных наград и почетных званий за многолетний труд, профессионализм и вклад в развитие сферы интеллектуальной собственности.
Поздравили коллектив института и вручили награды лучшим работникам ведомства руководитель Роспатента Юрий Зубов и директор института Олег Неретин на торжественном мероприятии в честь 66-летия …
👏12🎉7❤🔥4❤1
Showing the 9 most recent of 9 posts we hold for @FIPS_official. 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 — 314,899 of 1,350,102entries 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
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.
“ФИПС” (@FIPS_official), 3,087 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/FIPS_official.
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.