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ЭЛЕКТРОННОЕ ПЕРИОДИЧЕСКОЕ ИЗДАНИЕ «НАУЧНАЯ РОССИЯ»
Заявление на регистрацию аккаунта в Роскомнадзоре № 4922284508
Created
6 April 2018 — measured — cross-checked against a third-party dataset (ext.tg_channel)
Science — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 10 August 2026 and assigned it the closest of 31 fixed categories, at 99% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and why it has no browse page of its own yet.
Observations
These are measurements, not verdicts. Each one below states something we counted, alongside the evidence it was counted from, so you can check it rather than take it. None of them is graded: every observation this register holds is recorded at severity 0, because the precision of the detectors behind them has not been measured yet, and a rating we cannot support is worse than none. Read each as a fact about the data, not as a judgement about the channel. How we measure.
Views per post sit far above this size band
40,100 average views per post against 41,335 subscribers — an engagement rate of 97.0%. Across the 8,376 registered channels in the same cohort — 31,624–99,993 subscribers, posting mainly in Russian — the middle half sit between 5.02% and 20.9%, with a median of 10.5%.
What this was computed from
Window
30 days (27 August 2026 – 26 September 2026)
Posts measured
78 of 79 published in the window (0 exact, 78 rounded by Telegram)
Views totalled
3,127,300
Mature posts only
98.0% over 76 posts read at least 24h after publication
When this is recorded. A channel is listed here only when its engagement rate sits at or above the 99th percentile of its cohort and is at least 3× away from that cohort’s median — above it — on both the all-readings figure and the mature-only figure. The percentile alone would be circular: a percentile cut puts the same share of every cohort in the tail whatever the data looks like. The distance from the median is what makes it a statement about this channel.
This is not a verdict, and the direction is not a quality signal. A low rate has many innocent causes — audiences that read in the Telegram app without opening the channel, a subscriber base built long before the current output, an audience in a different timezone from our reading. A high rate has innocent causes too: a post that travelled far beyond the channel’s own subscribers will do it. We publish the measurement and the distribution it sits in. The full cohort baselines are downloadable, so this comparison can be reproduced rather than trusted.
Recorded under the key err_high, last confirmed 26 September 2026. An observation that a later pass no longer finds is cleared, and a cleared observation is removed from this page rather than being shown struck through — we do not keep publishing a claim we have withdrawn. Dispute an observation.
Growth
34 measurements spanning 50 days, net +603. 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 40,575–41,434 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 34
Measured (UTC)
Subscribers
Change
24 Sept 2026, 20:01
41,335
+146
18 Sept 2026, 13:20
41,189
+95
16 Sept 2026, 03:55
41,094
+45
14 Sept 2026, 09:57
41,049
-3
12 Sept 2026, 22:41
41,052
+2
10 Sept 2026, 21:38
41,050
-1
7 Sept 2026, 19:20
41,051
-5
4 Sept 2026, 17:59
41,056
+51
3 Sept 2026, 02:15
41,005
+47
1 Sept 2026, 23:34
40,958
-3
1 Sept 2026, 01:05
40,961
+48
29 Aug 2026, 22:23
40,913
-4
28 Aug 2026, 19:54
40,917
+1
27 Aug 2026, 22:03
40,916
+47
25 Aug 2026, 22:43
40,869
-6
24 Aug 2026, 20:03
40,875
-11
23 Aug 2026, 03:48
40,886
-7
21 Aug 2026, 19:25
40,893
-11
20 Aug 2026, 18:55
40,904
-8
19 Aug 2026, 19:24
40,912
first reading
Engagement
162 posts held, back to 29 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 95 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
96.2%
avg views ÷ 41,335 subscribers
Avg views / post
39,800
80 posts measured
Reaction rate
0.281%
reactions ÷ views · ER floor
Posts in window
81
of 162 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 26 September 2026
Posts held
162 (29 July 2026 – 26 September 2026)
Views total
3,182,490
Reactions total
8,944
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
26 Sept 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.
What this channel posts
Photos
≈11,400
Videos
≈196
Links
≈11,400
Lifetime counters from Telegram’s own channel header, read 26 September 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.
Video runtime
3m 22s
Average length
1m 41s
Measured directly from 2 videos 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
18,105 reactions across 153 posts, in 18 distinct kinds. The most used accounts for 13.6% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
2,470
13.6%
🔥
2,345
13.0%
👍
2,277
12.6%
💯
2,142
11.8%
⚡
2,121
11.7%
🏆
2,104
11.6%
🤓
2,087
11.5%
🐳
2,034
11.2%
🤔
183
1.01%
👏
170
0.939%
🤩
106
0.585%
🕊
43
0.238%
😢
13
0.072%
😍
4
0.022%
❤🔥
2
0.011%
🥴
2
0.011%
🆒
1
0.006%
🥰
1
0.006%
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 159 of the 162 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 19,130 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 162 most recent posts we hold, published 29 July 2026 to 26 September 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.
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Исследование показало, что даже небольшое расхождение во …
Когда звучит «Подъем!»: как фотограф поймал неуловимый момент старта «Союза‑2»
«Зажигание… Предварительная… Промежуточная… Главная… Подъем!» — эти команды знают все, кто следит за пусками ракет.
За ними — чёткая последовательность этапов зажигания и набора тяги двигателей «Союза‑2».
Но увидеть, как всё начинается, почти нереально: старт скрыт от глаз, а потоки раскалённого воздуха не оставляют шансов на детальный …
Физики из томских вузов представили исследование, способное лечь в основу нового подхода к квантовой диагностике света. Используя компьютерное моделирование на базе формул квантовой электродинамики, ученые установили, что, если воздействовать на фотонный газ зондирующими фотонами, в результате их рассеяния возникнет голограмма, по которой можно определить важные характеристики мишени, включая квантовое состояние ее ф…
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Преимущества новаторского подхода по сравнению с существующими аналогами — возможность работ…
Что происходит с когнитивной наукой сегодня и куда движутся исследования сознания? Об этом — в новом интервью с Татьяной Владимировной Черниговской.
Директор Института когнитивных исследований СПбГУ профессор Татьяна Черниговская размышляет о том, что вообще представляет собой когнитивная наука сегодня и как она связана с фундаментальными исследованиями сознания, а также рассказывает о своих собственных научных поис…
Это интервью с астрофизиком Дмитрием Левковым мы записали 26 июня. А 19 июля он ушел из жизни. Его смерть стала для всех полной неожиданностью и настоящим шоком.
Мы говорили о том, как появились частицы, из которых состоит Вселенная. О том, все ли частицы известны или Вселенная продолжает создавать новые. О том, какой финал ждет нашу Вселенную и можно ли его избежать. Мы рассуждали о смерти Вселенной как о чем-то ал…
⚡️Вирусное видео: вихревая воронка из птиц как в «Ночном дозоре»
музыка — #тестнавозраст 🥰
Любой нормальный человек, видя гигантское, пульсирующее облако из птиц в небе, устремится прочь из города, а лучше – сразу из страны 🍎🍎🍎
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О том, как устроен ускоритель, какие задачи перед ним стоят и почему для изучения нейтронных звезд не нужны энергии Большого адронного коллайдера, корреспонденту «Научной России» рассказал Сергей Мерц, ведущий научный сотрудник лаборатории физики высоких эне…
Первый в отечественной науке полный словарь языка Михаила Васильевича Ломоносова, включивший всю без изъятий лексику его полного собрания сочинений, был издан Институтом лингвистических исследований РАН.
Сергей Волков, зав. отделом «Словарь языка М.В. Ломоносова», рассказал о долгой предыстории этого проекта, о том, как изменилась его концепция и почему языковое наследие первого русского ученого-энциклопедиста до си…
Ученые КБГУ разработали экологически безопасный материал для производства пищевых пленок. Новый полимерно-композиционный материал из полиэтилентерефталата на основе титановых катализаторов менее токсичен, чем существующие аналоги, а также не пропускает кислород: упаковка из такого материала позволяет снизить количество консервантов в продукте и дольше сохранять их свежесть.
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Испо…
❤5👍5🔥4👏2🤔2🏆1💯1🕊1
Showing the 12 most recent of 162 posts we hold for @scientificrussia. 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.
Posts edited after publishing
@scientificrussia edited 1 post after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.
An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.
First edit seen
8 September 2026
Most recent edit
8 September 2026
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 8 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.
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.
Channels Telegram recommends alongside this one
Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.
НОП. Научно-образовательная политика @NOPpolicy · 42,310#1
Read from Telegram’s recommendation API, most recently 30 August 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.
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.
Даша Александровна 💬 @Arhipovadarya · 25,030 Telegram ranks this channel #49 of 95 here — alongside 94 others — read 15 September 2026
Госплан ENERGO @gosplandcookies · 55,020 Telegram ranks this channel #54 of 95 here — alongside 94 others — read 24 August 2026
Бизнес без диплома @BBDiploma · 77,263 Telegram ranks this channel #55 of 96 here — alongside 95 others — read 19 August 2026
Подпись экономиста @EconomistSign · 100,101 Telegram ranks this channel #59 of 96 here — alongside 95 others — read 15 August 2026
Mash Lab @lab_mash · 26,369 Telegram ranks this channel #62 of 97 here — alongside 96 others — read 12 September 2026
В Стране @stranavvvv · 57,322 Telegram ranks this channel #62 of 94 here — alongside 93 others — read 23 August 2026
Акценты @emphasises · 26,114 Telegram ranks this channel #68 of 94 here — alongside 93 others — read 13 September 2026
Банковская Правда @BankingTruth · 32,217 Telegram ranks this channel #70 of 95 here — alongside 94 others — read 5 September 2026
Мослента @moscowlenta · 70,349 Telegram ranks this channel #70 of 95 here — alongside 94 others — read 20 August 2026
Вопрос финансов @VoprosFin · 99,388 Telegram ranks this channel #72 of 96 here — alongside 95 others — read 15 August 2026
Медиастанция @mediastanciacom · 116,287 Telegram ranks this channel #73 of 95 here — alongside 94 others — read 14 August 2026
КИБЕРФРОНТ 🇷🇺ZА Россию🇷🇺 @cyber_frontZ · 61,546 Telegram ranks this channel #74 of 92 here — alongside 91 others — read 22 August 2026
Экономика на пальцах @FingersON · 104,058 Telegram ranks this channel #74 of 96 here — alongside 95 others — read 15 August 2026
Украина без вариантов/Україна без варіантів @NewNovorossia · 54,108 Telegram ranks this channel #75 of 95 here — alongside 94 others — read 24 August 2026
Let it be Саморазвитие @letmotiva · 29,713 Telegram ranks this channel #76 of 94 here — alongside 93 others — read 7 September 2026
PostNews @postnewsru · 43,043 Telegram ranks this channel #76 of 93 here — alongside 92 others — read 28 August 2026
Дело в + @DeloPlus · 131,990 Telegram ranks this channel #77 of 96 here — alongside 95 others — read 13 August 2026
Говорит и показывает Москва @moscow_on_air · 71,415 Telegram ranks this channel #79 of 95 here — alongside 94 others — read 20 August 2026
Звучит продажно @prodano5 · 73,079 Telegram ranks this channel #79 of 95 here — alongside 94 others — read 19 August 2026
Однажды в МСК @onceuponmoscow · 131,636 Telegram ranks this channel #81 of 96 here — alongside 95 others — read 13 August 2026
Fashion_Top @Wild_Top · 21,667 Telegram ranks this channel #82 of 94 here — alongside 93 others — read 23 September 2026
Жизнь планера @planning_life · 20,709 Telegram ranks this channel #83 of 94 here — alongside 93 others — read 26 September 2026
АВРОРА⭕️МЕДИА®🇷🇺 @aurora_media · 41,328 Telegram ranks this channel #84 of 96 here — alongside 95 others — read 27 August 2026
Московские метры @meters2 · 78,872 Telegram ranks this channel #85 of 96 here — alongside 95 others — read 19 August 2026
This channel appears in 51 seed channels' Telegram-generated recommendation lists in total, of which the 24 where it ranks highest are shown above. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
Domains linked from posts
7 domains this channel’s own posts have linked to, measured by scanning the post bodies themselves — not the channel’s description, which is the separate Declared links section below when this entry has one. Appearing here is not a claim about who runs the linked site or why the channel linked to it; an advertisement, a news citation and a malicious link all leave the same kind of row.
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 24 September 2026 — this
entry's latest reading, not the date you are reading this.
“Научная Россия” (@scientificrussia), 41,335 subscribers as measured 24 September 2026. Telegram Register, tgregister.com/channel/scientificrussia.
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.
