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Channel

Правмир

@pravmirru

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Telegram's recommendations · Cross-platform identity · Cite this entry

6,535subscribers

+12 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-1001111474056
TypeChannel
Username@pravmirru
DescriptionСовременное образование, эксперты, опыт родителей, ЕГЭ и как привести ребенка к успеху www.pravmir.ru
Created24 October 2017 — measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live4 November 2026
Measurements held22
Confirmed unchanged1 time, most recently 4 November 2026
On Telegramt.me/pravmirru

Topic

Education — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 12 September 2026 and assigned it the closest of 31 fixed categories, at 98% 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 the other topics.

Growth

6,5126,5406,5266 August 2026 — 6,523 subscribers6 August 2026 — 6,523 subscribers8 August 2026 — 6,524 subscribers11 August 2026 — 6,527 subscribers15 August 2026 — 6,534 subscribers25 August 2026 — 6,525 subscribers28 August 2026 — 6,519 subscribers31 August 2026 — 6,521 subscribers4 September 2026 — 6,515 subscribers9 September 2026 — 6,513 subscribers13 September 2026 — 6,512 subscribers17 September 2026 — 6,515 subscribers26 September 2026 — 6,518 subscribers11 October 2026 — 6,519 subscribers15 October 2026 — 6,540 subscribers18 October 2026 — 6,535 subscribers21 October 2026 — 6,536 subscribers24 October 2026 — 6,530 subscribers27 October 2026 — 6,534 subscribers30 October 2026 — 6,539 subscribers1 November 2026 — 6,534 subscribers4 November 2026 — 6,535 subscribers6,5356 August 20264 November 2026
22 measurements spanning 91 days, net +12. 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 6,508–6,544 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 22
Measured (UTC)SubscribersChange
4 Nov 2026, 14:516,535+1
1 Nov 2026, 21:376,534-5
30 Oct 2026, 01:086,539+5
27 Oct 2026, 07:366,534+4
24 Oct 2026, 05:476,530-6
21 Oct 2026, 09:276,536+1
18 Oct 2026, 04:066,535-5
15 Oct 2026, 00:496,540+21
11 Oct 2026, 22:546,519+1
26 Sept 2026, 08:366,518+3
17 Sept 2026, 18:016,515+3
13 Sept 2026, 13:226,512-1
9 Sept 2026, 18:566,513-2
4 Sept 2026, 19:016,515-6
31 Aug 2026, 19:066,521+2
28 Aug 2026, 17:426,519-6
25 Aug 2026, 13:166,525-9
15 Aug 2026, 18:156,534+7
11 Aug 2026, 23:536,527+3
8 Aug 2026, 23:516,524first reading

Engagement

31 posts held, back to 25 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 14 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
6.16%
avg views ÷ 6,535 subscribers
Avg views / post
403
12 posts measured
Reaction rate
3.64%
reactions ÷ views · ER floor
Posts in window
12
of 31 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 5 November 2026
Posts held31 (25 July 2026 – 5 November 2026)
Views total4,831
Reactions total176
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken6 Nov 2026, 01:18 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
≈2,800
Videos
≈178
Links
≈5,150

Lifetime counters from Telegram’s own channel header, read 6 November 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
38s
Average length
38s

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

481 reactions across 30 posts, in 7 distinct kinds. The most used accounts for 60.9% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤29360.9%
👍8818.3%
🔥8016.6%
❤‍🔥153.12%
💔20.416%
😱20.416%
😢10.208%

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 31 of the 31 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 498 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 31 most recent posts we hold, published 25 July 2026 to 5 November 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

Telegram’s own ‘edited’ marker: 1 of 12 posts held from the last 30 days (8.33%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).

5 Nov 2026, 13:38 UTC220 views14 reactionsread 6 November 2026
Photo

Портал «Грамота.ру» назвал 10 претендентов на звание «Слово года — 2026» Половина списка связана с искусственным интеллектом. Остальные слова описывают эмоции, периоды жизни и типажи людей. Победителя выберут в начале декабря. Британское издательство Collins уже объявило свое слово года: mogging в значении «превзойти или затмить кого-либо или что-либо». Подробности на «Правмире»

🔥8❤4👍2

4 Nov 2026, 11:35 UTC378 views16 reactionsread 6 November 2026
Photo

🤖 «Это точно писала нейросеть!» Как распознать ИИ в тексте «Как ты и просил, вот статья о том, как надежно определить, что текст создан нейросетью, — по делу и без воды...» Ну ладно, это шутка! Хотя разбор в карточках вполне серьезный. Реальность такова: не все тексты, которые мы читаем, написаны людьми. Педагог и автор блога о русском языке Александр Зубов попытался отличить нейросеть от человека. В карточках — …

❤9👍4🔥3

4 Nov 2026, 10:27 UTC335 views10 reactionsread 6 November 2026
Photo

Новости на «Правмире» 📌 Школьница на Камчатке спасла человека по пути на рисование 📌 Новые правила для детских пособий: с 2027 года будут учитывать поступления на счета 📌 Математик Савватеев: перегруз домашними заданиями толкает детей к списыванию 📌 «Я замерзала в этом колодце вместе с собакой»: в Волгограде спасли женщину и пса 📌 Россияне стали чаще брать кредиты на учебу в колледжах

❤5👍4🔥1

3 Nov 2026, 15:39 UTC417 views13 reactionsread 6 November 2026
Video

Чему учить детей во времена искусственного интеллекта? Алексей Савватеев убежден, что математику нужно изучать во все времена. «Вопрос фундаментального образования стоит на первом месте, вы должны его получить, и это никак не меняется ни с какими техническими устройствами», – считает математик Алексей Савватеев. В ролике он рассказывает, чему школьникам и студентам стоит учиться в меняющемся мире. Полное видео см…

❤7👍4🔥2

3 Nov 2026, 13:19 UTC417 views11 reactionsread 6 November 2026
Photo

💬«Я часто говорю ученикам: не бойтесь ошибаться». Правила учителя английского Андрея Мишина Первое, что предлагает своим ученикам преподаватель английского тверской гимназии №12 Андрей Мишин, — ошибаться. Многие дети уже приходят на урок неуверенными в себе, поэтому им так тяжело говорить. И возможность ошибаться все меняет. «Я часто объясняю детям, что английское слово school может употребляться без артикля, когда…

❤7👍3🔥1

3 Nov 2026, 08:08 UTC377 views8 reactionsread 6 November 2026
Photo

Утренние новости на «Правмире» ✏️ Шесть российских школьников взяли золото на международной олимпиаде по географии ✏️ Российская студентка получила серебро за проект ранней диагностики рака ✏️ Математик Алексей Савватеев назвал три навыка, которые стоит проверить у ребенка ✏️ Исследование: бедность отражается на школьных оценках детей ✏️ Стали известны имена пилотов, посадивших самолет flydubai после попытки тер…

❤4👍2🔥2

2 Nov 2026, 10:53 UTC472 views17 reactionsread 6 November 2026
Photo

🔥 Образование уже горит. Алексей Савватеев Все больше школьников делают домашние задания с помощью искусственного интеллекта. Но чему они в итоге учатся? Математик Алексей Савватеев говорит о том, почему искусственный интеллект может стать серьезной угрозой для образования, зачем детям учить таблицу умножения наизусть и почему никакая нейросеть не заменит собственное мышление. «Искусственный интеллект — это торфяно…

❤10🔥5👍2

2 Nov 2026, 08:22 UTC438 views10 reactionsread 6 November 2026
Photo

Утренние новости на «Правмире» 🔵17-летняя Серафима Фокина принесла России первое золото юношеской Олимпиады 🔵 В Дагестане девятиклассница спасла шестилетнего ребенка из горящей машины 🔵Опубликован рейтинг технических колледжей России 🔵 Кот работает психологом в американской школе 🔵В России предложили создавать в ресторанах зоны без смартфонов

❤8👍1🔥1

31 Oct 2026, 09:01 UTC547 views26 reactionsread 6 November 2026
Photo

🐧Рыбак спас пингвиненка из мазута. Это стало началом долгой дружбы Жить в жаркой стране и завести себе ручного пингвина? Это реальная история. Ее герой — пенсионер и рыбак Жуан Перейра де Суоза из Бразилии. Однажды он нашел на берегу маленького пингвина. И они подружились. «Эта птица изменила мою жизнь. До встречи с ним мои дни были одинаковыми и тихими. Я чувствую себя самым счастливым человеком на свете, потому ч…

❤18🔥5👍3

30 Oct 2026, 13:01 UTC499 views31 reactionsread 4 November 2026
Photo

«Руки задрожали, когда все закончилось». Медсестра спасла автобус, в котором ехал ее сын Утром 22 октября медсестра Дарья Селянина вместе с 11-летним сыном Федором ехала на работу в Тюлькино. На подъезде к мосту водитель автобуса внезапно потерял сознание, но продолжал давить ногой на газ. Машина ударилась о бордюр и едва не съехала с дороги. Дарья первой бросилась к рулю... В салоне находились 11 человек, среди ни…

❤18🔥9👍3😱1

30 Oct 2026, 12:00 UTC406 views8 reactionsread 4 November 2026
Photo

✏️«Образцовое», «допустимое», «недопустимое». Что изменят в школах оценки по поведению? В России идет апробация новой системы оценок за поведение: в каждом регионе в ней участвуют не менее десяти школ, оценки выставляют ученикам 2–8-х классов. Помогут ли оценки за поведение бороться с травлей и сохранять рабочую атмосферу во время уроков? Или же станут формальностью? Об этом мы спросили учителей. В карточках — гла…

👍5🔥2❤1

Showing the 12 most recent of 31 posts we hold for @pravmirru. 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.

Mentions

Named by 1 registered channel — 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.

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.

О.Андроник
@m_andronikos · 19,696
Telegram ranks this channel #13 of 93 here — alongside 92 others — read 1 October 2026

This channel appears in 1 seed channel's Telegram-generated recommendation list in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.

Cross-platform identity — Wikidata

A Wikidata item names this Telegram handle as belonging to the entity it describes. This is Wikidata’s claim, not a verification made by this register — nobody here confirmed that the account is genuinely operated by the entity named. Wikidata content is CC0; every fact below is dated to when it was read from Wikidata, not to when the association was first made there.

Q4376192 on Wikidata, read 1 November 2026
Labelpravmir.ru
DescriptionOrthodoxy and the world
YouTubeUCjR63D-bEd_bdJJJaKb-ZOQ
Official sitehttp://www.pravmir.ru/

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 4 November 2026 — this entry's latest reading, not the date you are reading this.

“Правмир” (@pravmirru), 6,535 subscribers as measured 4 November 2026. Telegram Register, tgregister.com/channel/pravmirru.

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.