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 13 September 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 why it has no browse page of its own yet.
Previous handles
@lit_kravchenko_fox was previously reachable at this handle, before switching to its current one. This says nothing about who or what answers at the old handle today — only that this channel no longer does.
@liter_web_ege held 7 August 2026 – 7 August 2026
Growth
14 measurements spanning 41 days, net -89. 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”.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
17 Sept 2026, 19:19
4,809
+96
13 Sept 2026, 11:58
4,713
+53
12 Sept 2026, 07:22
4,660
no change
12 Sept 2026, 06:47
4,660
+4,620
30 Aug 2026, 08:56
40
-4,699
27 Aug 2026, 11:04
4,739
-21
24 Aug 2026, 15:13
4,760
-28
20 Aug 2026, 20:13
4,788
-30
17 Aug 2026, 10:37
4,818
-29
13 Aug 2026, 17:29
4,847
-25
10 Aug 2026, 22:01
4,872
-23
8 Aug 2026, 02:35
4,895
-3
7 Aug 2026, 18:32
4,898
no change
7 Aug 2026, 18:20
4,898
first reading
Engagement
37 posts held, back to 31 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 7 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
7.04%
avg views ÷ 4,809 subscribers
Avg views / post
338
19 posts measured
Reaction rate
3.95%
reactions ÷ views · ER floor
Posts in window
19
of 37 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 11 September 2026
Posts held
37 (31 July 2026 – 11 September 2026)
Views total
6,430
Reactions total
254
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
12 Sept 2026, 07:22 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
Video runtime
1m 14s
Average length
1m 14s
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
621 reactions across 37 posts, in 16 distinct kinds. The most used accounts for 48.5% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
custom 5364154740974297224
301
48.5%
❤
170
27.4%
💘
31
4.99%
❤🔥
29
4.67%
💋
24
3.86%
🔥
15
2.42%
🎉
14
2.25%
🤔
13
2.09%
🥰
8
1.29%
😭
4
0.644%
🤯
4
0.644%
👏
3
0.483%
🗿
2
0.322%
👀
1
0.161%
👎
1
0.161%
🙏
1
0.161%
Custom emoji. One row above is a Telegram custom emoji, which the public preview renders as an element carrying only a numeric id — no character, and no image we can reach. The id is printed as-is rather than substituted with a look-alike glyph, because a stand-in would be our invention showing where a measurement should be. The count beside it is Telegram’s.
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 37 of the 37 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 621 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 37 most recent posts we hold, published 31 July 2026 to 11 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.
Завтра на курсе первый полноценный литературоведческий урок – будем с 9 и 10-11 классом разбирать теорию литературы, чтобы научиться говорить и писать на языке нашей науки☕️
Если вы пропустили разборы демок или не знаете с чего начать подготовку, то можно в ВК посмотреть фронт работ:
🖤 ОГЭ-2027
🖤 ЕГЭ-2027
Буду рада вашей подписке 😊
🤩🤩🤩Если хотите не только почитать мои наставления по подготовке, но и посмотреть, как это выглядит на самом занятии, у курсов сейчас есть бесплатный демодоступ.
Приходите слушать и смотреть ⏺️⏺️⏺️
→ бесплатные вебы [ОГЭ]
→ бесплатные вебы [ЕГЭ]
Раз уж выше затронули тему духовной составляющей начала учебного года, время поговорить и об академической 😭
Почему разбор произведения на YouTube ≠ подготовка к экзамену
Сразу скажу: я очень люблю хорошее литературоведение. Но интересный разбор ≠ подготовка к экзамену.
🌟🌟🌟 У публичного литературоведа задача необычная и широка – предложить интерпретацию, поспорить с другими исследователями, рассмотреть необычную д…
Расскажите, какие моменты в начале учебного помогают вам понять, что начинается новый этап? Может, новые тетради? Первая оценка? Новый предмет?
Вдохновляет ли вас это? 🖤
Если вам близок такой подход к подготовке, можно уже заглянуть ко мне на занятия 🖤
⏺️В Фоксе сейчас открыт бесплатный демодоступ к курсам по литературе: можно посмотреть вебинар, потыкать платформу и понять, комфортно ли вам готовиться со мной. Банально даже голос мой можно послушать, если это важно🌟
⏺️На самом курсе будем встречаться два раза в неделю, а между вебами останутся теория, домашки и тренажёры, чтобы вс…
🌟🌟🌟 Я правда люблю читательские дневники. Но желательно, чтобы там не было простого пересказа, ещё хуже – списанного с сайта.
Для экзамена я бы фиксировала:
⏺️героев и их характеристики (цитаты героя, цитаты других персонажей о герое);
⏺️ключевые поступки;
⏺️важные детали;
⏺️темы и проблемы;
⏺️возможные сопоставления.
⏺️особенности авторского взгляда (пара слов о стиле, о методе создания текстов и тд. Имею в виду чт…
Раз уж мы сегодня обсуждаем методы взаимодействия с текстом, поговорим про стихи и как их учить.
Я бы добавила к зубрёжке немного разнообразия. Можно:
⏺️записать стихотворение своим голосом и слушать его по дороге,
⏺️найти романс на этот текст (только перепроверьте, чтобы исполнитель ничего не добавил в авторское произведение),
⏺️переписать от руки,
⏺️носить несколько стихотворений с собой и регулярно к ним возвраща…
Я 6 лет изучала литературу в университете, но мне самой иногда тяжело долго держать внимание на тексте 🖤
И я не очень верю в совет просто убрать телефон.
🌟🌟🌟Лучше постепенно возвращать концентрацию [с нашим темпом жизни и любовью к короткому контенту это сложно].
Можно и нужно начать с малого! Начать читать небольшими отрезками, но регулярно. Или читать с карандашом: отмечать детали, вопросы, характеристики героев…
Showing the 12 most recent of 37 posts we hold for @lit_kravchenko_fox. 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.
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.
Фариша Князева | Мария Коршунова | Литература ЕГЭ | 100балльный репетитор @korshunova100ballov · 26,993 Telegram ranks this channel #8 of 90 here — alongside 89 others — read 12 September 2026
Даша Королёва | Литература ЕГЭ | Умскул @litumsch · 48,807 Telegram ranks this channel #9 of 89 here — alongside 88 others — read 26 August 2026
Даша Шарит | Даша Королёва | ОГЭ литература 2027 | Умскул @lublu_litry · 52,251 Telegram ranks this channel #10 of 85 here — alongside 84 others — read 26 August 2026
This channel appears in 3 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 17 September 2026 — this
entry's latest reading, not the date you are reading this.
“Вася Кравченко о литературе | ОГЭ и ЕГЭ | Фоксфорд” (@lit_kravchenko_fox), 4,809 subscribers as measured 17 September 2026. Telegram Register, tgregister.com/channel/lit_kravchenko_fox.
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.