Новости о курсах МИФа, прямые эфиры с экспертами, статьи, чек-листы, гайды и другая польза
Основной канал МИФа: @mifbooks
Больше о курсах МИФа: mif.to/mifcursy
Регистрация в РКН № 4928418885 https://vk.cc/cGwutx
Created
2 April 2017 — 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-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 20 August 2026 and assigned it the closest of 31 fixed categories, at 100% 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.
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.
Content that also appears on other registered channels
Posts published here appear in near-verbatim form on 2 other registered channels. The matching is on the text itself, not on Telegram’s forward marker, so it finds a copy whether or not it was labelled as one.
Matching posts — open both and compare (3 of the pairs behind the counts below)
Channels this entry shares post bodies with, where at least one matching post pair has no forward credit between the two channels, or to a common source, recorded in our data
Text overlap is the Jaccard coefficient over the set of distinct three-word phrases in the two bodies: 1.00 is identical wording, and the threshold for counting a pair at all is 0.70. Candidates are generated by simhash LSH (4 x 16-bit bands, exact Hamming <= 3) verified against the bodies with Jaccard over the SET of distinct 3-word shingles. Published first counts which side of each matching pair carries the earlier timestamp — in this corpus, which is the limitation directly below.
What this cannot establish
MEASURED, DOMINANT ERROR SOURCE: a post ingested before 2026-08-06 may have carried a forward header that was not recorded. A 45-pair hand-check against live t.me pages found 14 (31%) where the live page shows a forward header naming the other channel and the database has none, plus 4 more (9%) naming a third party. The text match itself was wrong 0 times out of 45. Read attribution_capture.items_in_trusted_window before treating the unattributed count as a claim.
Telegram lets a channel forward a post with a header naming the source, and we only began reliably recording that header on 2026-08-06. None of the 0 matches recorded here fall after that date, so for this entry we cannot say whether any of them carried a credit. The duplication is measured; the absence of attribution is not.
“Published first” means first in this corpus. We hold 165 comparable posts for this entry, running 2 August 2026 to 10 November 2026. A channel we have read one page deep will look younger than a neighbour we have read in full, and the order would flip with no change in the underlying facts.
The detector’s own notes on this observation, as it recorded them. Names in this_style are fields of the underlying evidence record, which the plain-English paragraphs above read out for this entry.
Verbatim republication has three causes and the text separates only two: a clone/mirror, unattributed copy-paste, or BOTH channels copying a common third source that neither attributes. The spread filter (content held by at most 8 channels) reduces the third and does not remove it.
'Earliest' means earliest IN THIS CORPUS. A channel ingested one page deep will look younger than a neighbour ingested in full; corpus_coverage above is there to be checked before the direction is believed.
shared_verified_est extrapolates the sampled pass rate over the full narrow match count; sampled/passed are the numbers actually measured.
Absence of a forward header is not proof of intent: Telegram lets a channel disable forward attribution, and a credit written in the body is not parsed as attribution here (mention_edge_either_way above is the closest available signal).
Recorded under the key clone_source, last confirmed 11 November 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
60 measurements spanning 97 days, net -85. 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 26,469–26,596 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 60
Measured (UTC)
Subscribers
Change
10 Nov 2026, 13:11
26,484
-4
9 Nov 2026, 02:56
26,488
-5
7 Nov 2026, 19:46
26,493
+3
6 Nov 2026, 18:31
26,490
+1
5 Nov 2026, 15:08
26,489
+2
4 Nov 2026, 16:49
26,487
-1
3 Nov 2026, 18:27
26,488
+1
2 Nov 2026, 21:40
26,487
+3
2 Nov 2026, 00:58
26,484
-4
31 Oct 2026, 23:44
26,488
-2
30 Oct 2026, 20:56
26,490
-1
29 Oct 2026, 17:20
26,491
-2
28 Oct 2026, 16:05
26,493
+2
27 Oct 2026, 18:36
26,491
+1
26 Oct 2026, 18:30
26,490
-2
24 Oct 2026, 00:10
26,492
-1
22 Oct 2026, 21:17
26,493
+3
21 Oct 2026, 21:01
26,490
-2
20 Oct 2026, 14:57
26,492
-1
19 Oct 2026, 16:07
26,493
first reading
Engagement
208 posts held, back to 2 August 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 148 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
4.62%
avg views ÷ 26,484 subscribers
Avg views / post
1,220
73 posts measured
Reaction rate
0.885%
reactions ÷ views · ER floor
Posts in window
73
of 208 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 10 November 2026
Posts held
208 (2 August 2026 – 10 November 2026)
Views total
89,230
Reactions total
790
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
11 Nov 2026, 06:50 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
≈5,950
Videos
≈228
Links
≈2,630
Lifetime counters from Telegram’s own channel header, read 11 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
6m 09s
Average length
21s
Measured directly from 18 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
2,307 reactions across 203 posts, in 32 distinct kinds. The most used accounts for 45.0% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
1,037
45.0%
🔥
320
13.9%
😁
234
10.1%
❤🔥
111
4.81%
💯
111
4.81%
🤣
101
4.38%
💘
54
2.34%
🥰
54
2.34%
👍
35
1.52%
😍
35
1.52%
🤩
22
0.954%
💔
21
0.91%
🎉
20
0.867%
😱
20
0.867%
👏
19
0.824%
😢
14
0.607%
💅
12
0.52%
👎
11
0.477%
⚡
10
0.433%
🍾
10
0.433%
12 further kinds
56
2.43%
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 204 of the 208 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 2,316 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 208 most recent posts we hold, published 2 August 2026 to 10 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: 2 of 73 posts held from the last 30 days (2.74%) 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).
Автор VS литературный редактор
Один красной ручкой безжалостно зачеркивает целые страницы, другой — обижается на правки и отстаивает каждую запятую. Правда ли, что отношения автора и литературного редактора выглядят именно так? И что важно понимать и учитывать обеим сторонам, чтобы в результате получилась классная книга, а не борьба? Спросили у писательницы и литературного редактора Екатерины Звонцовой.
Обычно у ме…
Делимся мрачной красотой 🪄 Так выглядит магия превращения эскиза в готовую иллюстрацию ✨
Эти работы создала Фарида Базартинова — выпускница третьего потока курса «Книжный иллюстратор». В конце обучения все ученики могут принять участие в конкурсе портфолио. По итогам отбора профессионального жюри Фарида вошла в шорт-лист 👏
Сейчас идет набор на четвертый поток курса, и уже действует чернопятничная скидка на любой та…
Как встречали зиму на Руси и отмечали Новый год в СССР? Узнаем на новом праздничном лектории ❄️
Вместе с Солнцем, которое неуклонно стремится к точке своего обновления, мы завершаем наш годовой цикл лекций. Декабрьские встречи будут посвящены самому важному моменту в жизни наших предков — середине зимы. Это время замыкает год — и одновременно открывает его заново.
На первой лекции поговорим об «аграрной магии», раз…
Сегодняшний именинник, кажется, выразил в этом письме своему знакомому боль всех авторов и литредов 💔️️️️
9 ноября исполняется 208 лет со дня рождения Ивана Тургенева 🪶
Курскую магнитную аномалию обнаружили больше 200 лет назад. А мы нашли свою — МИФ.Курсовскую 😵💫 У нас тут тоже запасы планетарного масштаба: культура, искусство, психология, творчество и многое другое. Железно есть чем обогатиться!
Почувствовали притяжение? Вводите промокод ANOMALY на странице курса. Книги тоже участвуют в акции.
Лечуууу! 🛹
Делитесь, сколько у вас правильных ответов ✍️
Писатели, иллюстраторы, переводчики, блогеры — казалось бы, все это люди, далекие от юриспруденции, занимающиеся творчеством, а не штудированием законов и скучными договорами. Однако базовые знания законодательства по авторскому праву им необходимы, чтобы при публикации своих произведений не столкнуться с серьезными проблемами в виде претензий правообладателей и исков на…
Автор предлагает использовать в книге фотографии, которые сделал в музее, в котором заплатил за фотосъемку. Может ли издательство поставить фотографии в книгу без дополнительных договоров?
Да, так как автор заплатил за фотосъемку и передает издательству фотографии для собственной книги12%
Нет, так как, заплатив за съемку, автор получил разрешение на съемку только в личных целях88%
Shares as published. No per-option vote count is published by Telegram, so none is shown.
Хорошо ли вы разбираетесь в авторских правах и защите интеллектуальной собственности? Давайте проверим. Ниже вас ждут несколько вопросов — выбирайте правильные ответы 🐈
❤3
Showing the 12 most recent of 208 posts we hold for @MIFcourses. 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.
Polls
The 6 most recent of 16 polls we hold for this entry, as Telegram rendered them when we read the post. A poll’s figures keep moving after that, so each one is dated.
Автор предлагает использовать в книге фотографии, которые сделал в музее, в котором заплатил за фотосъемку. Может ли издательство поставить фотографии в книгу без дополнительных договоров?
Да, так как автор заплатил за фотосъемку и передает издательству фотографии для собственной книги12%
Нет, так как, заплатив за съемку, автор получил разрешение на съемку только в личных целях88%
Shares as published. No per-option vote count is published by Telegram, so none is shown.
Shares as published. No per-option vote count is published by Telegram, so none is shown.
Percentages only — there are no per-option vote counts here, because Telegram publishes none. The public post preview gives each option’s share and a single voter total, and nothing else. Multiplying one by the other would produce a per-option tally that looks measured and is not: the shares are rounded to whole numbers before we ever see them. We print what was published and leave the column that does not exist empty.
The shares need not add up to 100. Rounding alone puts many polls at 99 or 101. A poll that allows more than one answer per voter runs well past 100 by design, and several here do. The bars are drawn against a fixed 100% track at each option’s own percentage rather than normalised to the total, so a poll that exceeds it shows that it does instead of being quietly rescaled.
Read from the 208 most recent posts we hold, published 2 August 2026 to 10 November 2026. Telegram labels each poll by kind — an anonymous poll, a quiz, a closed set of final results — and that label is reproduced rather than paraphrased.
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 4 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.
Read from Telegram’s recommendation API, most recently 12 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.
Издательство МИФ @mifbooks · 54,939 Telegram ranks this channel #14 of 94 here — alongside 93 others — read 23 August 2026
Google Таблицы @google_sheets · 59,478 Telegram ranks this channel #35 of 98 here — alongside 97 others — read 22 August 2026
Нетология @netology_ru · 26,720 Telegram ranks this channel #67 of 96 here — alongside 95 others — read 10 September 2026
Книжный Лис 🦊📚 @booksfox · 47,848 Telegram ranks this channel #73 of 92 here — alongside 91 others — read 26 August 2026
This channel appears in 4 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.
“МИФ.Курсы” (@MIFcourses), 26,484 subscribers as measured 10 November 2026. Telegram Register, tgregister.com/channel/MIFcourses.
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.