Друзья! В комментах запрещен мат, разжигание розни, оскорбления и проявление неуважения даже к оппонентам. Немедленный бан без предупреждений.
Почта для связи [email protected]
РКН: https://www.gosuslugi.ru/snet/67b589741bca1d7fe1750f33
Created
1 April 2022 — measured — cross-checked against a third-party dataset (ext.tg_channel)
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 9 September 2026 and assigned it the closest of 31 fixed categories, at 97% 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
57 measurements spanning 94 days, net +1,302. 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 33,838–35,609 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 57
Measured (UTC)
Subscribers
Change
8 Nov 2026, 03:07
35,405
+49
6 Nov 2026, 22:41
35,356
+40
6 Nov 2026, 00:26
35,316
+36
4 Nov 2026, 21:15
35,280
+95
3 Nov 2026, 22:04
35,185
+211
2 Nov 2026, 18:28
34,974
+24
1 Nov 2026, 18:28
34,950
+31
31 Oct 2026, 18:49
34,919
+35
30 Oct 2026, 15:30
34,884
+12
29 Oct 2026, 17:45
34,872
+44
28 Oct 2026, 20:49
34,828
+250
27 Oct 2026, 18:57
34,578
+123
26 Oct 2026, 17:55
34,455
+106
25 Oct 2026, 14:48
34,349
+47
24 Oct 2026, 17:04
34,302
+20
23 Oct 2026, 14:16
34,282
+7
22 Oct 2026, 17:35
34,275
+35
20 Oct 2026, 07:41
34,240
+24
19 Oct 2026, 10:19
34,216
+17
17 Oct 2026, 11:55
34,199
first reading
Engagement
105 posts held, back to 12 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 171 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
58.0%
avg views ÷ 35,405 subscribers
Avg views / post
20,600
33 posts measured
Reaction rate
1.86%
reactions ÷ views · ER floor
Posts in window
33
of 105 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 8 November 2026
Posts held
105 (12 July 2026 – 8 November 2026)
Views total
678,178
Reactions total
12,645
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
8 Nov 2026, 18:01 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
≈968
Videos
≈813
Links
≈1,770
Lifetime counters from Telegram’s own channel header, read 8 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
11h 29m
Average length
26m 32s
Measured directly from 26 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
33,921 reactions across 105 posts, in 22 distinct kinds. The most used accounts for 24.6% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
💯
8,361
24.6%
👍
7,240
21.3%
❤
5,547
16.4%
🔥
4,452
13.1%
😢
2,195
6.47%
😁
1,416
4.17%
🤬
1,110
3.27%
😱
890
2.62%
👏
587
1.73%
😡
438
1.29%
🤯
391
1.15%
🤔
297
0.876%
🤡
259
0.764%
❤🔥
251
0.74%
🙏
225
0.663%
👎
113
0.333%
🤨
57
0.168%
🥴
34
0.1%
🤷
33
0.097%
💊
15
0.044%
2 further kinds
10
0.029%
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 105 of the 105 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 33,921 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 105 most recent posts we hold, published 12 July 2026 to 8 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: 13 of 33 posts held from the last 30 days (39.4%) 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).
Научно-педагогический анализ пленарной сессии на форуме «Искусственный интеллект для прорыва в науке и образовании»
Часть 2. Начало выше
О тезисах Ирины Каклюгиной
«Первое, мы должны признать, что привычные всем нам, как уже было сказано, классические педагогические приёмы уже не работают в полной мере. … Поэтому, как нам кажется, нам необходимо оперативно менять подходы к организации именно педагогических процесс…
Научно-педагогический анализ пленарной сессии форума «Искусственный интеллект для прорыва в науке и образовании» в Казани
Это же видео в VK-Видео, в Рутубе и в Ютубе
Педагогам подробно рассказали о предстоящем повышении окладов.
В России найден регион, который признал важность ежедневного труда педагогов, их высокую ответственность и неоценимый вклад в будущее страны — Кировская область. И отметил это повышением окладов… до МРОТ…
Но и этого хватило учителям Кировской области, чтобы рассыпаться в благодарностях и высказать огромную признательность за своевременное и важное реше…
Обращение к Сергею Владиленовичу Кириенко
Глубокоуважаемый Сергей Владиленович, добрый день!
Методом дедукции Шерлока Холмса я вывел, что Вы видели моё обращение про зарплаты в Кировской области и вообще про зарплаты учителей по России.
Сергей Владиленович, я в течение 10 лет пытаюсь добиться Вашего внимания к этой проблеме, к проблеме нашей системы образования.
Пригласите меня, пожалуйста, к себе на беседу.
Я прид…
Хватит говорить глупости о том, что повышение зарплаты ни на что не повлияет
Дорогие друзья, всем привет!
Моё предыдущее обращение посмотрело несколько сотен тысяч человек на разных платформах, и оно вызвало большой резонанс… были два вида комментариев, которые меня вывели из колеи. Нехорошо раздражаться, но я раздражился — больше, чем на наших начальников, которые провели совещание по цифровизации в Татарстане.
Пе…
😎 Про каклюгинизм с МЭШем 😡
Действия и последствия.
Что делать директорам и коллективам.
Коллеги рассказывают о том, как Минпрос РФ, Депобр Москвы и Роспотребнадзор отреагировали на их жалобы на Каклюгину, нарушившую своим приказом законодательство России‼️
1.
Минпрос ответил, что он в курсе о том, что «установлен запрет на использование обучающимися средств подвижной радиотелефонной связи во время проведения учебн…
Вариант народного единения по-капиталистически
от Алексея Савватеева
Этот же ролик в VK-Видео и в Ютубе
Родная Школа
В Телеграме
Во ВКонтакте
В Рутубе
В Ютубе
В Дзене
В московских школах на интерактивных панелях нашли программу, которая сама включает микрофон, записывает звук в классе и отправляет файл на серверы ДИТ.
Михаил Богданов пишет:
«Немного технической конспирологии вам в ленту.
На интерактивных панелях в классах московских школ обнаружен пакет mesh-agent-lesson-log — системный демон, который записывает звук в аудитории и отправляет записи наружу. В публичном репозитори…
На федеральном портале выложен для ознакомления и внесения замечаний проект поправок в законодательство во исполнение Указа Президента «О дополнительных мерах поддержки учителей». Это изменения в законодательство, реализующие право на бесплатное посещение музея раз в месяц, бесплатную юридическую помощь, гарантии наставничества в первый год работы и прочее.
Реальным содержательным изменением законодательства для под…
ОТВЕТ НА ПРЕТЕНЗИИ СИЛЬНЫХ МИРА СЕГО
Видеозапись — ответ Алексея Савватеева на критику после его резонансного обращения о цифровизации школы и внедрении искусственного интеллекта в учебный процесс. Обращение широко разошлось, собрало много просмотров и откликов.
Претензия первая: Савватеев врёт, что на цифровизацию выделяются федеральные деньги
Признать претензию можно формально, но не фактически. Прямых федеральн…
👍334❤109🔥57👏22🙏15🤡5❤🔥4
Showing the 12 most recent of 105 posts we hold for @alexei_savvateev. 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
@alexei_savvateev edited 6 posts 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
28 August 2026
Most recent edit
6 November 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 45 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. The 24 listed below are the most frequent namers; the rest are counted above but not each listed.
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.
БогданоV. О школе и не только @aboutschools · 25,715#1
Read from Telegram’s recommendation API, most recently 3 September 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.
БогданоV. О школе и не только @aboutschools · 25,715 Telegram ranks this channel #2 of 94 here — alongside 93 others — read 13 September 2026
Советские учебники @sovuche · 106,307 Telegram ranks this channel #14 of 94 here — alongside 93 others — read 21 August 2026
РВС (Родительское Всероссийское Сопротивление) @RVSsu · 22,192 Telegram ranks this channel #18 of 96 here — alongside 95 others — read 21 September 2026
⚠️ Общественный уполномоченный по защите семьи (ОУЗС) @ouzs_ru · 77,059 Telegram ranks this channel #23 of 88 here — alongside 87 others — read 19 August 2026
факультет @studyfaculty · 43,553 Telegram ranks this channel #37 of 97 here — alongside 96 others — read 5 September 2026
Радио и Театр @oldradioteatr · 111,746 Telegram ranks this channel #41 of 91 here — alongside 90 others — read 14 August 2026
This channel appears in 6 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
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 November 2026 — this
entry's latest reading, not the date you are reading this.
“Алексей Савватеев и Родная Школа” (@alexei_savvateev), 35,405 subscribers as measured 8 November 2026. Telegram Register, tgregister.com/channel/alexei_savvateev.
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.