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 11 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 why it has no browse page of its own yet.
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 word for word on 1 other registered channel. 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 (5 of the pairs behind the counts below)
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 5 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 12 comparable posts for this entry, running 25 June 2026 to 3 August 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).
Across the whole group of 2, the earliest publisher we hold is @top_ege_results. That is a statement about our reading window, not a claim of authorship.
Recorded under the key clone_copy, last confirmed 7 August 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.
Also posting the same content
This channel’s posts match, word for word or near enough, posts on 1 other registered channel, found by comparing text fingerprints across every channel on the register. That matching has been checked by hand against the live Telegram pages and found reliable — 0 wrong of 45 pairs re-read.
Which channel, if either, published first is deliberately not shown. The same hand-check found that reading wrong 18 of 45 times — 60%, no better than a coin flip — because it depends on how deep our own crawl happened to reach into each channel’s history, not on when the content was actually first posted. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Word-for-word matching has several ordinary explanations besides copying — a channel mirroring itself, an unattributed repost, or two channels independently repeating the same wire story — and this measurement cannot tell those apart. How this is measured.
15 measurements spanning 49 days, net +47. 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 6,067–6,229 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
25 Sept 2026, 01:37
6,210
+121
15 Sept 2026, 03:16
6,089
-15
11 Sept 2026, 17:54
6,104
-34
7 Sept 2026, 04:39
6,138
-15
2 Sept 2026, 21:17
6,153
+13
30 Aug 2026, 16:47
6,140
+54
27 Aug 2026, 08:17
6,086
-21
24 Aug 2026, 03:57
6,107
-20
20 Aug 2026, 11:42
6,127
-10
17 Aug 2026, 11:53
6,137
-7
13 Aug 2026, 15:34
6,144
-16
10 Aug 2026, 19:17
6,160
-4
7 Aug 2026, 08:52
6,164
+1
7 Aug 2026, 03:15
6,163
no change
7 Aug 2026, 03:09
6,163
first reading
Engagement
10 posts held, back to 25 June 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 10 pages of Telegram’s post history, 20 posts per page.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 10 posts for this entry, the most recent from 11 August 2026. An engagement rate over an empty window would be a number about nothing.
Reaction mix
144 reactions across 10 posts, in 9 distinct kinds. The most used accounts for 46.5% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
67
46.5%
🔥
36
25.0%
👍
10
6.94%
😍
10
6.94%
💯
8
5.56%
🤩
5
3.47%
❤🔥
4
2.78%
⚡
3
2.08%
🤝
1
0.694%
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 10 of the 10 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 144 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 10 most recent posts we hold, published 25 June 2026 to 11 August 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.
▫️ glorious russia: 19th century — уроки по учебнику теперь есть на платформе edvibe/progressme
внутри 1 части учебника — 34 тематических урока о российских городах, исторических личностях, военных событиях, географических открытиях и памятниках культуры
📖 среди тем:
▫️ Смоленск и его история
▫️ Михаил Кутузов и Отечественная война 1812 года
▫️ храм Христа Спасителя
▫️ Серафим Саровский и Дивеевский монастырь
▫️ М…
🤍🤍 effective and aesthetic materials A2-C1
— such a brilliant for your best classes ever
[топ уроков MIRO + PDF, которые провели более 2000 преподавателей]
• mood check with memes
• i’m bored
• the happiness toolkit warm-up
• what is gaslighting?
• toxic positivity
• stranger things | psychology of hawkings
• jealousy talk
• guilty pleasures
• psychology of failure [video based]
• world kindness day
• cloud dance…
Upgrade Your English Vocabulary 📚
Коллеги, еще две находки в нашу копилку материалов
▫️первая книга — Prepositions and Prepositional Phrases
отдельная работа с предлогами и устойчивыми сочетаниями — то, на чем ученики постоянно спотыкаются даже при хорошем общем уровне
▫️вторая — Upgrade Your English Vocabulary
интенсивный курс по лексике для подготовки к экзаменам
Я бы использовала оба пособия именно как допол…
Для высоких результатов группы по английскому не эффективны 🤷♀️
Недавно я писала пост о том, что самый простой способ разгрузить расписание и начать больше зарабатывать — это группы
Я сама уже давно работаю в таком формате, и, честно, боже упаси меня снова вернуться в график с кучей индивов с утра до вечера и без минуты на продых 😅
Но после поста мне написали несколько коллег в личку
Посыл был примерно такой:
Я…
Я отдала Профи 13 000 за одну ученицу
Звучит, конечно, не очень приятно 😅
Особенно если смотреть только на сам факт комиссии
Недавно я писала, что для меня Профи — одна из самых быстрых площадок для поиска учеников в любое время года
Хоть летом, хоть зимой
Потому что там уже есть люди с готовым запросом: их не нужно долго прогревать, они уже готовы заниматься и просто ищут преподавателя
Но я понимаю, что для мн…
Как преподавателю разгрузить расписание и начать зарабатывать больше?
Когда я научилась стабильно набирать учеников с Профи (писала об этом 👆🏻), сначала казалось, что проблема решена:
❤️ ученики есть
❤️ расписание заполнено
❤️ доход растет
Казалось бы, живи и радуйся🤔
Но очень быстро появилась другая проблема: я забила расписание уроками с 8 утра до 10–11 вечера
С маленькими перерывами, без нормальных выходных и…
Где быстро набрать учеников на лето и новый учебный год?
Когда я только начинала преподавать, для меня самым больным вопросом были не материалы, не методика и даже не то, как провести урок
А вот это:
где вообще брать учеников?
Сарафанное радио еще работало плохо
Знакомые могли посоветовать меня одному-двум людям, но это не давало стабильности
А учеников хотелось не когда-нибудь потом, а уже сейчас
И тогда я впе…
Почему задание 10 оказалось сложным даже для сильных учеников?
Вижу, что среди коллег сейчас активно обсуждают задание 10
В личку тоже поступают вопросы, поэтому решила поделиться своим мнением тут
Само задание я не видела
Может быть, его добавят в банк ФИПИ в сентябре
А может быть, и нет 🫠
Но мои ученики запомнили заголовки и общий смысл текстов, поэтому мне удалось примерно восстановить задание и проанализирова…
Пока я болела, две мои ученицы решили идти на пересдачу
Поэтому пришлось досрочно закрыть больничный😁
Для начала дала им еще раз прорешать тренажер по заданиям 19–36, чтобы повторить основные грамматические и лексические темы
Для эссе и УЧ взяли задания, которые встречались в основную волну и резервные дни
Ничего критически нового там не было, поэтому изобретать велосипед и срочно придумывать десятки дополнительн…
Пока готовлю пост с итогами проверки ЕГЭ, предлагаю немного выдохнуть
В этом году Бен явно решил проверить не только английский, но заодно историю, географию и стрессоустойчивость выпускников
Собрала в карусели мемы, которые лучше всего описывают ЕГЭ 2026
Какие эмоции и мысли у вас вызвал экзамен?
❤15🔥10🤩5👍1
Showing the 10 most recent of 10 posts we hold for @volkova_materials. 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
@volkova_materials edited 1 post 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
8 August 2026
Most recent edit
8 August 2026
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
Names
Channels on the register whose handles appear in this channel's posts.
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.
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 25 September 2026 — this
entry's latest reading, not the date you are reading this.
“Volkova Materials” (@volkova_materials), 6,210 subscribers as measured 25 September 2026. Telegram Register, tgregister.com/channel/volkova_materials.
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.