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 9 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
29 measurements spanning 34 days, net +4,570. 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 30,091–36,032 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 29
Measured (UTC)
Subscribers
Change
10 Sept 2026, 05:01
35,346
+114
7 Sept 2026, 01:57
35,232
+539
4 Sept 2026, 10:16
34,693
+314
3 Sept 2026, 00:24
34,379
+789
1 Sept 2026, 22:06
33,590
+813
31 Aug 2026, 19:26
32,777
+38
30 Aug 2026, 20:03
32,739
+71
29 Aug 2026, 19:25
32,668
+68
28 Aug 2026, 22:53
32,600
+78
27 Aug 2026, 22:28
32,522
+35
27 Aug 2026, 01:32
32,487
+52
26 Aug 2026, 04:34
32,435
+59
25 Aug 2026, 03:12
32,376
+57
23 Aug 2026, 20:45
32,319
+114
22 Aug 2026, 02:49
32,205
+102
20 Aug 2026, 19:59
32,103
+109
19 Aug 2026, 18:26
31,994
+93
18 Aug 2026, 21:45
31,901
+42
17 Aug 2026, 23:03
31,859
+13
16 Aug 2026, 21:58
31,846
first reading
Engagement
243 posts held, back to 5 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 76 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
4.43%
avg views ÷ 35,346 subscribers
Avg views / post
1,570
205 posts measured
Reaction rate
1.56%
reactions ÷ views · ER floor
Posts in window
206
of 243 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 204 of 205 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 9 September 2026
Posts held
243 (5 August 2026 – 9 September 2026)
Views total
321,273
Reactions total
4,999
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
10 Sept 2026, 00:46 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
2h 23m
Average length
15m 56s
Measured directly from 9 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
5,920 reactions across 239 posts, in 38 distinct kinds. The most used accounts for 42.2% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
2,501
42.2%
custom 5294278526466295361
958
16.2%
💘
345
5.83%
🔥
341
5.76%
❤🔥
278
4.70%
😭
277
4.68%
💋
266
4.49%
😈
151
2.55%
🗿
107
1.81%
👍
80
1.35%
🙏
71
1.20%
🌚
63
1.06%
😘
55
0.929%
🍓
53
0.895%
😎
50
0.845%
😍
47
0.794%
👀
43
0.726%
🐳
42
0.709%
🤪
35
0.591%
💯
23
0.389%
18 further kinds
134
2.26%
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 239 of the 243 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 5,920 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 243 most recent posts we hold, published 5 August 2026 to 9 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.
Telegram Stars
Stars received
19
across the posts below
Posts paid on
4
of 242 we hold a reading for · 2%
Most on one post
13
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @vademistry100b. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.
Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.
This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.
Counted over the 243 most recent posts we hold for this entry, published 5 August 2026 to 9 September 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.
🥇 Вся инфа о В(ы)пускном 100Б 2026!
Уже очень скоро ученики, выпускники и преподы 100балльного соберутся, чтобы провести грандиозный вечер вместе! Запоминайте главное:
💯27 сентября в 15:00, Москва, МТС LIVE ХОЛЛ
💯Будем общаться, фотографироваться и танцевать под Дору и Мэйби Бэйби, я там тоже буду
💯Вход бесплатный для всех, кто учился с нами в 2025/2026 или будет учиться в 2026/2027
Вся актуальная инфа в карточках…
Как мы химичим на курсах 😎
С кайфом, если честно! На уроках я достаю ящик Пандоры свои наборы и показываю вам, как выполнять эксперимент, какие шаги в своих действиях нужно сделать и как его правильно оформить.
Экспериментом мы занимаемся как по ходу основных уроков, так и в рамках отдельных видео, которые будут дополнительно на курсе.
А в этом году у ОГЭшек будет бонусом отдельный банк экспериментов!
В материалах…
Знаю, что в школах нередко дела с практической химией обстоят сложно. В школьной программе предусмотрено выполнение лаб, но у некоторых, к сожалению, вообще нет лаб или оборудования… Из-за этого эксперимент для будущих ОГЭшек — часто больная тема
На курсе мы будем много химичить, и я научу вас всё делать, даже если вы ни разу пробирку в руки не брали. А пока ловите дайджест моих видео с разными экспериментами:
💯Как…
Расскажите, как у вас вообще дела в школе с лабами по химии?
❤️ — кайфово, делаем их в течение года, все в целом понимаю
👀 — делаем, но ничего не понятно, или это больше имитация бурной деятельности
🗿 — не делаем/практически не делаем
И самое приятное — это возможность отслеживать прогресс в течение года
На платформе 100Б есть очень крутой раздел со статистикой, где вы будете видеть, как растут ваши баллы. Там же можно будет отслеживать статистику решения конкретных заданий и фиксировать прогресс)
Выше прикрепил результаты моей ученицы Двушки, Даши. Она легенда и смогла поднять свой результат с 7 до 93 вторичных баллов за 10-й класс, подробнее о…
Почему важно писать пробники в течение года?
Некоторым кажется, что достаточно просто изучать теорию в течение года, практиковаться и потом прийти на экзамен, но это не совсем так по нескольким причинам
💯 В первую очередь, это тренировка экзамена
Вы должны уметь не только решать каждое задание, но и решить их ВСЕ, уложившись в ограниченное время. На домашку можно потратить сколько угодно времени, а на пробниках важ…
Если вы готовитесь с абсолютного нуля, решить пробник на старте подготовки все равно очень важно. Даже если это будет околонулевой результат, нужно зафиксировать точку А, а потом как будет круто сравнить с результатом итогового пробника или экзамена и офигеть от собственного прогресса)
Курсовички, входной пробник уже ждет вас на платформе! Выше небольшая инструкция, как его открыть
Кстати, пробники у нас есть после…
custom 529427852646629536129❤6
Showing the 12 most recent of 243 posts we hold for @vademistry100b. 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
@vademistry100b edited 13 posts 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
7 September 2026
Polls
The 6 most recent of 17 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.
Условный заряд конкретного атома в соединении — это
валентность40%
степень окисления60%
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 243 most recent posts we hold, published 5 August 2026 to 9 September 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 9 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.
Федос Кокос | Биология ОГЭ и ЕГЭ | 100балльный репетитор @fedos_kokos_100b · 44,866#1
Русский язык с Аришей | 10 класс | 100балльный @rusoge100points · 22,406#2
Дядя Артем | Математика ОГЭ и ЕГЭ | 100балльный репетитор @molodoy_repet · 68,420#3
Азат Адеев | Физика ОГЭ и ЕГЭ | 100балльный репетитор @fizikaoge · 77,176#4
Read from Telegram’s recommendation API, most recently 3 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.
Федос Кокос | Биология ОГЭ и ЕГЭ | 100балльный репетитор @fedos_kokos_100b · 44,866 Telegram ranks this channel #1 of 79 here — alongside 78 others — read 29 August 2026
Дядя Артем | Математика ОГЭ и ЕГЭ | 100балльный репетитор @molodoy_repet · 68,420 Telegram ranks this channel #4 of 75 here — alongside 74 others — read 21 August 2026
Азат Адеев | Физика ОГЭ и ЕГЭ | 100балльный репетитор @fizikaoge · 77,176 Telegram ranks this channel #4 of 89 here — alongside 88 others — read 20 August 2026
Илья Сагалов | Информатика ОГЭ и ЕГЭ | 100балльный репетитор @iliiasagalov_100points · 28,173 Telegram ranks this channel #5 of 67 here — alongside 66 others — read 10 September 2026
Денис Марков | Химия ОГЭ 2027 | Умскул @chem_den · 94,844 Telegram ranks this channel #5 of 86 here — alongside 85 others — read 18 August 2026
Александра Лебедева | Химия ОГЭ 2027 | Между нами химия | Умскул @sasha_him · 49,628 Telegram ranks this channel #8 of 85 here — alongside 84 others — read 26 August 2026
Никита Павлов | ОГЭ биология 2027 | Биобезобразие с Никитой | Умскул @BioBezobrazieoge · 92,453 Telegram ranks this channel #13 of 87 here — alongside 86 others — read 18 August 2026
Настя Коржева | Обществознание ЕГЭ и ОГЭ | 100балльный репетитор @socegeanastasia · 61,555 Telegram ranks this channel #14 of 81 here — alongside 80 others — read 23 August 2026
Елена Зеленская | Биология ОГЭ 2027 Умскул | Биология нас связала @bio_team · 55,725 Telegram ranks this channel #15 of 81 here — alongside 80 others — read 24 August 2026
100балльный репетитор | Онлайн-школа ЕГЭ и ОГЭ @stopointerschool · 44,976 Telegram ranks this channel #21 of 67 here — alongside 66 others — read 28 August 2026
ОГЭ по математике с Настей @nagibatorOGE · 30,137 Telegram ranks this channel #30 of 93 here — alongside 92 others — read 7 September 2026
МатемАня | Математика ЕГЭ | 100балльный репетитор | Мать наук @matemanya · 45,303 Telegram ranks this channel #32 of 73 here — alongside 72 others — read 29 August 2026
Топ-репетитор | ЕГЭ история | 100балльный репетитор🇷🇺 @topkirill · 38,957 Telegram ranks this channel #37 of 86 here — alongside 85 others — read 1 September 2026
Таня Шибитова | Английский ЕГЭ | 100балльный репетитор @tanya_shibitova · 33,475 Telegram ranks this channel #40 of 84 here — alongside 83 others — read 5 September 2026
Екатерина Строганова | Химия ЕГЭ | 100балльный репетитор @chemist_msu · 87,302 Telegram ranks this channel #40 of 61 here — alongside 60 others — read 18 August 2026
Маша Птипца | Русский язык ЕГЭ | 100балльный🔥 @ege100_rus · 139,518 Telegram ranks this channel #50 of 70 here — alongside 69 others — read 13 August 2026
Конспекты | Биология и Химия @konspekty_ege · 93,375 Telegram ranks this channel #55 of 80 here — alongside 79 others — read 17 August 2026
Русский язык для 5-8 классов с Лией | Умскул @liyamiddleschool · 38,613 Telegram ranks this channel #65 of 82 here — alongside 81 others — read 31 August 2026
This channel appears in 18 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 September 2026 — this
entry's latest reading, not the date you are reading this.
“Вадим Едемский I Химия ОГЭ и ЕГЭ I 100балльный репетитор” (@vademistry100b), 35,346 subscribers as measured 10 September 2026. Telegram Register, tgregister.com/channel/vademistry100b.
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.