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Channel

Олимпиадная математика ВсОШ | Дабромат

@vsosh_olymp

On this record: Growth · Engagement · Reactions · Posts · Citations · Cite this entry

5,353subscribers

+5 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1001894194081
TypeChannel
Username@vsosh_olymp
CreatedBetween 1 October 2022 and 30 September 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live14 August 2026
Measurements held4
Confirmed unchanged1 time, most recently 14 August 2026
On Telegramt.me/vsosh_olymp

Growth

5,3475,3575,3527 August 2026 — 5,348 subscribers8 August 2026 — 5,347 subscribers11 August 2026 — 5,357 subscribers14 August 2026 — 5,353 subscribers5,3537 August 202614 August 2026
4 measurements spanning 8 days, net +5. 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 5,346–5,359 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
14 Aug 2026, 19:565,353-4
11 Aug 2026, 16:225,357+10
8 Aug 2026, 05:485,347-1
7 Aug 2026, 06:465,348first reading

Engagement

11 posts held, back to 1 August 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 8 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
25.7%
avg views ÷ 5,353 subscribers
Avg views / post
1,380
11 posts measured
Reaction rate
2.53%
reactions ÷ views · ER floor
Posts in window
11
of 11 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
WindowRolling 30 days · latest post in window 11 August 2026
Posts held11 (1 August 202611 August 2026)
Views total15,133
Reactions total383
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken12 Aug 2026, 04:25 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.

Reaction mix

383 reactions across 11 posts, in 7 distinct kinds. The most used accounts for 35.8% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
custom 541112150973115335813735.8%
9224.0%
👍7419.3%
🔥5714.9%
❤‍🔥112.87%
👏61.57%
🗿61.57%

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 isTelegram’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 11 of the 11 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 383reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 11 most recent posts we hold, published 1 August 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.

Recent posts

11 Aug 2026, 15:40 UTC645 views17 reactionsread 12 August 2026

💡Чего достигнет ребенок после курса «Введение в олимпиадную математику» Курс «Введение в олимпиадную математику» — первый шаг к конкретным достижениям ребенка. Вот что его ждет после обучения: 1️⃣ Поступление в сильные физмат-школы и кружки Навык решения нестандартных задач — главное преимущество на вступительных испытаниях. Курс дает базу, которая поможет уверенно пройти отбор в сильнейшие школы с физико-математи

8custom 54111215097311533585👍4

10 Aug 2026, 15:02 UTC867 views31 reactionsread 12 August 2026

Открываем Летний геометрический лекторий! Сегодня в 18:00 пройдет открытая лекция «Кубика произведений» от Давида Бродского. Ссылка для подключения к трансляции: https://www.youtube.com/live/xtuwkiwXT6Q?si=QaBay2FWD6i-r73G Также сегодня стал доступен первый листочек для участников спецкурса Ивана Фролова «Касание окружностей». Напоминаем, что обладатели билета «Фаната Таксы Дуси» получат подборку задач на использо

custom 541112150973115335813👍8🔥7👏3

10 Aug 2026, 09:00 UTC951 views28 reactionsread 12 August 2026
Photo

👧👦 Курс «Введение в олимпиадную математику» Последний месяц лета в «Дабромат» традиционно посвящен тем, кто только делает первые шаги в олимпиадной математике. Мы знаем, что среди нашей аудитории много родителей, чьи дети никогда системно не занимались олимпиадными задачами, но очень хотят начать — и мы готовы сделать этот старт проще. С радостью сообщаем, что открываем набор на курс «Введение в олимпиадную математ

👍13custom 541112150973115335887

9 Aug 2026, 16:55 UTC≈1,370 views36 reactionsread 12 August 2026

Posted without readable text

❤‍🔥1110custom 541112150973115335810🗿5

8 Aug 2026, 16:53 UTC≈1,090 views35 reactionsread 12 August 2026
Photo

💡Спецкурсы «Соосные окружности и конфигурации типа Понселе», «Касание окружностей», «Сопряжение Клоусона» Есть два главных способа изучать геометрию: учить методы и учить конструкции. Оба способа очень важны и дополняют друг друга. Три наших спецкурса посвящены именно конструкциям. И ведут их профессиональные геометры: Иван Фролов изредка преподает, обычно только уровню Международной математической олимпиады IMO.

custom 541112150973115335814👍7🔥74👏3

6 Aug 2026, 15:14 UTC≈1,350 views31 reactionsread 12 August 2026
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🐶🎫 Билет «Фаната Таксы Дуси»: что это и в чем его преимущества? Мы неоднократно упоминали про билет «Фаната Таксы Дуси». Но какие преимущества он дает? Билет «Фаната Таксы Дуси» — это полный доступ ко всей образовательной траектории лектория. Его обладатель получает возможность не выбирать между отдельными спецкурсами и лекциями, а пройти программу целиком, в системном порядке. ➿ Что входит в билет: 🔴 Доступ ко в

12custom 541112150973115335810👍9

5 Aug 2026, 18:29 UTC≈1,620 views45 reactionsread 12 August 2026
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👥 Интервью с учениками 2 и 3 ступени ЛГШД До конца занятий ЛГШД осталось чуть меньше месяца, поэтому мы подготовили интервью с учениками 2 и 3 ступени: Талой Никитиной и Андреем Булкиным соответственно, которые в этом году получили дипломы и похвальные грамоты на олимпиаде по геометрии имени И. Ф. Шарыгина. 💬 Обучаешься ли ты на стипендии? Андрей Булкин: Да, на 50%. Тала Никитина: Нет, я занимаюсь на тарифе с мент

23custom 541112150973115335812🔥10

4 Aug 2026, 15:47 UTC≈1,850 views35 reactionsread 8 August 2026
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🔤Спецкурсы «Движение точек» и «Комплексные числа в геометрии» Начинаем рассказывать про спецкурсы Летнего геометрического лектория, посвященные методам. Мы поговорим про два метода: движение точек и идейный счет в комплексных числах. На каждом спецкурсе вас ожидает: 🔘 4 занятия в прямом эфире с возможностью задавать вопросы 🔘 4 серии задач для самостоятельного решения 🔘 Проверка всех решений преподавателями 🔘 Дос

custom 54111215097311533581510🔥10

3 Aug 2026, 16:17 UTC≈1,980 views48 reactionsread 8 August 2026
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➿➿ Наши ученики на олимпиаде имени И. Ф. Шарыгина ➿➿ 1 августа завершилась олимпиада по геометрии имени И. Ф. Шарыгина — престижнейшая геометрическая олимпиада. Наши ученики прошлых лет и нынешние тоже приняли в ней участие и показали прекрасный результат: Более 20 участников, среди которых 13 дипломов I, II и III степени, 5 похвальных грамот. Некоторые выпускники, которые сейчас работают у нас и помогают проверя

custom 541112150973115335820👍14🔥112🗿1

2 Aug 2026, 15:14 UTC≈1,640 views38 reactionsread 8 August 2026
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💫 Лекторы Летнего геометрического лектория «Дабромат» Совсем скоро стартует Летний геометрический лекторий «Дабромат». Помимо спецкурсов, у нас будут открытые лекции для всех желающих: их могут посещать олимпиадники, родители, учителя, а также те, кто просто любит красивую геометрию и хочет узнать, как ее концепции используются в серьезной науке. Сегодня мы познакомимся поближе к лекторами — это 10+ преподавателей

custom 541112150973115335816🔥11👍92

1 Aug 2026, 11:07 UTC≈1,770 views39 reactionsread 8 August 2026
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Условия финального тура олимпиады по геометрии имени Шарыгина, 2 день Какие задачи понравились больше всего по итогам двух дней? Пишите в комментариях!

14custom 541112150973115335814👍10🔥1

Showing the 11 most recent of 11 posts we hold for @vsosh_olymp. 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.

Citation-graph rank

Citation-graph rank — 348,304 of 1,481,502entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.

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 2 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.

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 14 August 2026 — this entry's latest reading, not the date you are reading this.

“Олимпиадная математика ВсОШ | Дабромат” (@vsosh_olymp), 5,353 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/vsosh_olymp.

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.