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 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.
Growth
14 measurements spanning 39 days, net -24. 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 7,833–7,892 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
15 Sept 2026, 17:17
7,861
+4
12 Sept 2026, 05:54
7,857
+8
7 Sept 2026, 18:20
7,849
-7
3 Sept 2026, 00:34
7,856
+5
30 Aug 2026, 16:08
7,851
+11
27 Aug 2026, 12:34
7,840
-4
24 Aug 2026, 10:09
7,844
-7
20 Aug 2026, 19:33
7,851
-10
17 Aug 2026, 13:39
7,861
-8
14 Aug 2026, 03:07
7,869
-5
10 Aug 2026, 19:17
7,874
-10
7 Aug 2026, 20:33
7,884
-1
7 Aug 2026, 18:16
7,885
no change
7 Aug 2026, 18:08
7,885
first reading
Engagement
103 posts held, back to 4 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 17 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
5.62%
avg views ÷ 7,861 subscribers
Avg views / post
441
24 posts measured
Reaction rate
1.19%
reactions ÷ views · ER floor
Posts in window
24
of 103 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 10 of 24 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 28 August 2026
Posts held
103 (4 August 2026 – 28 August 2026)
Views total
10,594
Reactions total
55
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
28 Aug 2026, 20:15 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
13m 40s
Average length
1m 15s
Measured directly from 11 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
367 reactions across 54 posts, in 13 distinct kinds. The most used accounts for 47.7% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
175
47.7%
🔥
69
18.8%
👍
29
7.90%
custom 5244802341462360935
20
5.45%
💯
17
4.63%
✍
13
3.54%
👌
13
3.54%
❤🔥
11
3.00%
🏆
8
2.18%
👏
7
1.91%
⚡
2
0.545%
💋
2
0.545%
🤝
1
0.272%
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 56 of the 103 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 367 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 103 most recent posts we hold, published 4 August 2026 to 28 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.
Почему не стоит пропускать встречу 3 сентября?
Коллеги, мы понимаем, что самое начало учебного года будет загруженным, но рекомендуем вам всё же найти время и присоединиться к нам 3 сентября в 16:00 мск, и вот почему:
1️⃣ Бесплатное участие
Такие встречи проходят в клубе «Проверяем как эксперт» на платной основе, но сейчас мы решили дать вам возможность поучаствовать в этом формате без оплаты.
2️⃣ Практика со ста…
👆 А вот что говорят коллеги, которые уже не остаются со сложными случаями один на один
👤 Кто-то приходит в клуб, чтобы быстрее и увереннее проверять сочинения.
👤 Кому-то важно регулярно сверять свою оценку с экспертной и понимать: «Да, здесь я всё вижу правильно».
👤 Кому-то — быть в курсе изменений и получать актуальную информацию, не собирая её по крупицам из разных источников.
👤 А кому-то особенно ценно просто …
Коллеги, сколько времени у вас обычно уходит на проверку одного сочинения?
И что делаете, когда встречается спорный момент, с которым вы не можете разобраться сразу?
Идёте перечитывать критерии?
Ищете похожий случай в интернете?
Пишете коллегам?
Откладываете работу, чтобы вернуться к ней позже свежим взглядом?
Напишите в комментариях 💬
#НавигаторЕГЭиОГЭ
Недавно Ирина Колышкина поделилась, как переживала, когда проверяла работы сильных учеников, которые претендовали на высокие баллы на ЕГЭ.
Тогда она обращалась к коллегам – проверяющим экспертам, чтобы быть уверенной в каждом критерии и каждом балле.
💁🏼♀️ «Только такая возможность есть далеко не у всех. Многие репетиторы работают в одиночку и варятся в собственном соку... Возникают сомнения в самой классификации о…
Вот ради таких цифр и нужен опыт и понимание принципов проверки!
Екатерина видела то, что не замечал школьный учитель: он ставил девочке от 19 до 22 баллов, но наша героиня оценивала работу всего на 12-15 баллов.
В клубе «Проверяем как эксперт» есть возможность отправить сочинение на проверку эксперту ЕГЭ, и Екатерина пользовалась ею каждый раз, когда были сомнения и спорные ситуации.
В итоге все недочеты удалось …
Как не согласиться с очевидным!
У меня сейчас на репетиторстве два будущих золотых медалиста. Пожалуй, так тщательно к занятиям я в позапрошлом году не готовилась, хотя я эксперт ЕГЭ с 2004 года.
Большие результаты – большая ответственность
Многие учителя и репетиторы любят сильных учеников, потому что думают, что их легче подготовить на высокие баллы. С одной стороны, это так: мотивированные ученики действительно много делают сами и схватывают информацию на лету.
‼️ Но когда речь идет о сочинении, одной мотивации и желания учиться не достаточно.
На педагога ложится огромная ответственность, ведь уже нельз…
Начните учебный год с экспертного разбора ⭐️️️️️
Коллеги, у вас есть возможность принять участие в онлайн-встрече клуба «Проверяем как эксперт»!
📆 3 сентября в 16:00 мск
🚩 Тема: «Начинаем учебный год без ошибок в сочинениях»
Перед встречей мы пришлем вам рабочую тетрадь с сочинением ученика, которое вы сможете проверить по критериям и выставить свои баллы.
А 3 сентября вместе с действующим экспертом мы проверим …
❤9
Showing the 12 most recent of 103 posts we hold for @navigator_ege. 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 8 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.
Shares as published, totalling 101%. 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 103 most recent posts we hold, published 4 August 2026 to 28 August 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
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 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.
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.
Юлия Нефёдова. Уроки русского @uunefedova_russ · 57,207 Telegram ranks this channel #1 of 95 here — alongside 94 others — read 23 August 2026
Ксюша Сумина | ОГЭ Русский язык | Школково @oge_s_ksushey · 27,549 Telegram ranks this channel #6 of 95 here — alongside 94 others — read 11 September 2026
Аня Солдаева | Русский язык ЕГЭ | insperia @insperia_rus · 29,121 Telegram ranks this channel #24 of 82 here — alongside 81 others — read 8 September 2026
Алина Русграм | русский язык | ЕГЭ и ОГЭ @rusgramschool · 24,988 Telegram ranks this channel #36 of 71 here — alongside 70 others — read 14 September 2026
Учитель русского | Русский язык @teacherus · 34,889 Telegram ranks this channel #44 of 94 here — alongside 93 others — read 3 September 2026
Таня Коваль. ЕГЭ по русскому языку @TatiashkaEGE · 52,966 Telegram ranks this channel #45 of 91 here — alongside 90 others — read 25 August 2026
Я люблю русский язык @rus_yaz_tg · 22,734 Telegram ranks this channel #68 of 93 here — alongside 92 others — read 20 September 2026
Подготовка к ВПР, ОГЭ и ЕГЭ @iaege · 28,965 Telegram ranks this channel #71 of 94 here — alongside 93 others — read 9 September 2026
От репетитора к онлайн-школе | Илья Методайзер @methodyzer · 22,050 Telegram ranks this channel #73 of 92 here — alongside 91 others — read 21 September 2026
Средняя школа @c_5_po_11_klass · 32,622 Telegram ranks this channel #85 of 96 here — alongside 95 others — read 5 September 2026
This channel appears in 10 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 15 September 2026 — this
entry's latest reading, not the date you are reading this.
“Навигатор ЕГЭ и ОГЭ” (@navigator_ege), 7,861 subscribers as measured 15 September 2026. Telegram Register, tgregister.com/channel/navigator_ege.
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.