Про образование взрослых людей.
Против пищеварительного обучения, где надо «переварить знания». Учимся понимать самостоятельно.
📗 По всем-всем постам в канале есть удобная #навигация
Вы можете репостить посты👍
Вопросы и отклики пишите @llLinallll
Created
10 July 2019 — 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 12 September 2026 and assigned it the closest of 31 fixed categories, at 68% 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
26 measurements spanning 97 days, net -124. 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 6,671–6,833 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 26
Measured (UTC)
Subscribers
Change
10 Nov 2026, 23:50
6,690
-5
7 Nov 2026, 03:19
6,695
-2
4 Nov 2026, 13:06
6,697
-5
1 Nov 2026, 02:30
6,702
-3
28 Oct 2026, 16:09
6,705
-3
25 Oct 2026, 20:59
6,708
+2
23 Oct 2026, 04:07
6,706
-1
20 Oct 2026, 14:29
6,707
-6
17 Oct 2026, 09:38
6,713
-6
14 Oct 2026, 20:16
6,719
+4
11 Oct 2026, 03:59
6,715
-4
5 Oct 2026, 03:59
6,719
-11
26 Sept 2026, 08:38
6,730
-13
17 Sept 2026, 10:20
6,743
-11
13 Sept 2026, 08:57
6,754
-4
9 Sept 2026, 15:36
6,758
-7
4 Sept 2026, 00:18
6,765
-2
31 Aug 2026, 18:25
6,767
-2
28 Aug 2026, 17:13
6,769
-8
26 Aug 2026, 03:43
6,777
first reading
Engagement
38 posts held, back to 7 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 24 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
9.15%
avg views ÷ 6,690 subscribers
Avg views / post
612
11 posts measured
Reaction rate
3.21%
reactions ÷ views · ER floor
Posts in window
11
of 38 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. It is computed over the 7 of 11 measured posts that carry a reaction reading, and over those same posts' views.
What these figures were computed from
Window
Rolling 30 days · latest post in window 13 November 2026
Posts held
38 (7 July 2026 – 13 November 2026)
Views total
6,734
Reactions total
150
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
14 Nov 2026, 15:53 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
≈1,110
Videos
≈22
Links
≈635
Lifetime counters from Telegram’s own channel header, read 14 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.
Reaction mix
301 reactions across 18 posts, in 13 distinct kinds. The most used accounts for 66.1% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
199
66.1%
🔥
56
18.6%
❤🔥
21
6.98%
✍
6
1.99%
🥰
4
1.33%
👍
3
0.997%
😱
3
0.997%
🤓
3
0.997%
🤮
2
0.664%
👏
1
0.332%
😍
1
0.332%
🙊
1
0.332%
🤯
1
0.332%
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 18 of the 38 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 301 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 38 most recent posts we hold, published 7 July 2026 to 13 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.
Advertising
Ad load
7.89%
3 of 38 posts carry an ad marker
Regulatory tokens
3
posts carrying an erid · 3 distinct tokens
Median views · ads
734
over 3 measured posts
Median views · rest
726
over 35 measured posts
An ad marker, not a judgement about a post. A post is counted here because it carries one of two explicit markings: an erid token, which Russian law has required on paid placements since 2022 and which is issued against a specific advertising contract, or a #реклама / #ad hashtag in the body, which is the channel declaring it itself. The first is documentary; the second is a self-declaration and is weaker. No classifier reads the text and decides — nothing on this site guesses that a post is an advertisement.
This is a floor, and it can only ever be a floor. A channel that runs paid placements without marking them produces no marker for us to count, and an unmarked ad is indistinguishable from an ordinary post on the public surface. The ad load above therefore means “the share of posts that declared themselves”, never “the share of posts that were paid for”. A low figure is not evidence of a channel that runs few ads.
Both figures are medians, and no ratio between them is published. Each is a view reading that actually occurred on a post, picked by percentile_disc rather than averaged, so one viral post cannot move it and no interpolated value is invented between two readings. The sample on one side is under five posts, which is too thin to compare. The two figures are shown side by side with the count behind each, and deliberately not divided into a headline like “ads get x% fewer views” — an arithmetic that is easy to print and, at this sample size, means nothing.
Advertising tokens recorded on this entry
erid
Posts
First seen
Last seen
2SDnjdjxXzt
1
6 November 2026
6 November 2026
2VtzqxE64GT
1
9 August 2026
9 August 2026
2W5zFJuTsA1
1
28 July 2026
28 July 2026
A token repeated across several posts is one advertising contract placed more than once, which is what the identifier is for. The strings are reproduced exactly as they appeared in the post or in its click-through URL and are not validated against any registry — we record the marker a channel published, and whether it resolves to a real contract is a question for the register that issued it.
Measured over the 38 most recent posts we hold, published 7 July 2026 to 13 November 2026. Views are the latest single reading held for each post, and any reading at or above 1,000 is rounded by Telegram to three significant figures.
Recent posts
Telegram’s own ‘edited’ marker: 2 of 11 posts held from the last 30 days (18.2%) 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).
Всего и надо, что вглядеться, — боже мой,
Всего и дела, что внимательно вглядеться, —
И не уйдешь, и никуда уже не деться
От этих глаз, от их внезапной глубины.
Всего и надо, что вчитаться, — боже мой,
Всего и дела, что помедлить над строкою —
Не пролистнуть нетерпеливою рукою,
А задержаться, прочитать и перечесть.
Мне жаль не узнанной до времени строки.
И все ж строка — она со временем прочтется,
И перечтется мног…
Оповещаю о прямом эфире для тех, кто готов к ИИ-экспериментам и хочет делать курсы.
⚪️ 10-11 ноября в 17:00 (МСК) Академия iSpring приглашает на бесплатный 2-х дневный практикум «ИИ-анимация: как создать мультфильм за 2 дня».
За 2 вечера вы освоите создание ИИ-мультфильма: от генерации идеи и создания сценария до озвучки и монтажа.
За время практикума вы:
⚫️ придумаете сюжет, героя и раскадровку с помощью ChatGPT;…
Что я люблю в людях — так это неравнодушие. Вот человек верит во что-то и несет это с жаром, потому что понимает, что это важно — даже если усмехаются или пока не понимают.
У нас в магистратуре есть профессор. Ох, на его лекциях так сложно, что хочется плакать. Иногда мне кажется я слышу, как скрипят мозги.
Он приходит и говорит: «Сегодня 160 слайдов, будет сложно. Но вы должны это понять, это поднимет вас на неско…
Про искренность в образовательном процессе.
В подкасте услышала обсуждение искренней речи - парресия (παρρησία). Это такая форма высказывания, где важна откровенность и ясность ходов ума, а не попытка произвести впечатление красноречием или убедить собеседника. Это не политическое (моральное) суждение, а скорее трепетное выражение истины, какой она сейчас представляется говорящему.
Завтра мы будем читать про академ…
Мой коллега из образования Ростислав с командой делает конференцию про оценивание в образовании. Я когда его попросила рассказать чем ему самому интересна эта конфа, то он записал мне голосовое на 9 минут — признак увлеченности в процесс 🧐
Что мы вообще можем обмерить, когда мы говорим про гуманитарный предмет?
Что вообще можно считать данными и “доказательным” образованием?
В чем состоит проблема объективности?
Кон…
На этой неделе читали с коллегами “Что такое просвещение?” статью Канта. И в этот раз она раскрылась для меня через тему мужества дерзать пользоваться собственным разумом. Почему нужно именно мужественно дерзать и не подходит трусость?
В последнем абзаце написано: “Однако только тот, кто, будучи сам просвещенным, не боится собственной тени, […] может сказать […] рассуждайте сколько угодно и о чем угодно, только пови…
Showing the 12 most recent of 38 posts we hold for @kaktomogu. 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 recorded as deleted after publishing
We recorded 2 posts on @kaktomogu as deleted — posts this register held that were missing from the channel’s public page on two separate reads, taken from different network addresses at least an hour apart.
A deletion is not wrongdoing. This register can see that a post it held is no longer on the channel’s public page, and when — not why. Expired ad placements, reposts, rotating links and corrections all look the same. This is a count of recorded detections, not an exact total: it misses deletions we could not see, because only a post we held and later re-read inside the page can be seen to go, and it may include a small number of wrong records. How this is measured.
First seen missing
14 November 2026
Most recent seen missing
14 November 2026
Median time before seen missing
31 days
Seen missing in the last 30 days
2
Forward network
Republishes
Channels on the register whose posts this channel has forwarded.
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.
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.
Живое обучение @prolearning · 20,603 Telegram ranks this channel #15 of 100 here — alongside 99 others — read 26 September 2026
факультет @studyfaculty · 43,516 Telegram ranks this channel #15 of 97 here — alongside 96 others — read 5 September 2026
Образование, которое мы заслужили @ru_education · 42,254 Telegram ranks this channel #17 of 98 here — alongside 97 others — read 29 August 2026
Эдтехно | образование @edtexno · 21,464 Telegram ranks this channel #19 of 99 here — alongside 98 others — read 24 September 2026
Теории и Практики @tandp_ru · 21,981 Telegram ranks this channel #27 of 100 here — alongside 99 others — read 21 September 2026
Skillbox: образовательная платформа @skillboxru · 36,209 Telegram ranks this channel #35 of 97 here — alongside 96 others — read 3 September 2026
ОбОбраз @ob_obraz · 30,220 Telegram ranks this channel #52 of 100 here — alongside 99 others — read 7 September 2026
Нетология @netology_ru · 26,700 Telegram ranks this channel #56 of 96 here — alongside 95 others — read 10 September 2026
Вакансии в образовании @edujobs · 66,479 Telegram ranks this channel #58 of 99 here — alongside 98 others — read 21 August 2026
Школа мышления. Вояж в страну загадок. @shkolamishleniA · 22,734 Telegram ranks this channel #60 of 97 here — alongside 96 others — read 20 September 2026
Вакансии для своих✨ @cozy_hr · 56,900 Telegram ranks this channel #61 of 100 here — alongside 99 others — read 25 August 2026
+1 в команду Яндекс Практикума @practicum_experts · 24,375 Telegram ranks this channel #88 of 98 here — alongside 97 others — read 16 September 2026
НЕЙРОГРАМОТНОСТЬ @edu4telegram · 76,308 Telegram ranks this channel #91 of 94 here — alongside 93 others — read 29 August 2026
Диссертация | Наталья Киреева | О научных статьях и диссертациях @kireeva_science · 21,262 Telegram ranks this channel #94 of 96 here — alongside 95 others — read 25 September 2026
RazoomJobs | Вакансии – EdTech, International @razoomjobs · 27,052 Telegram ranks this channel #98 of 98 here — alongside 97 others — read 12 September 2026
This channel appears in 15 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 10 November 2026 — this
entry's latest reading, not the date you are reading this.
“Учусь как умею” (@kaktomogu), 6,690 subscribers as measured 10 November 2026. Telegram Register, tgregister.com/channel/kaktomogu.
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.