Channel
@neformaths
On this record: Growth · Engagement · Reactions · Posts · Citations · Cite this entry
36subscribers
+4 since we began measuring on 9 September 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1003984312223 |
|---|---|
| Type | Channel |
| Username | @neformaths |
| Created | 25 July 2026 — measured — dated from the channel’s first post |
| First recorded | 12 September 2026 |
| Last confirmed live | 19 September 2026 |
| Measurements held | 4 |
| Confirmed unchanged | 1 time, most recently 19 September 2026 |
| On Telegram | t.me/neformaths |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 19 Sept 2026, 09:39 | 36 | +2 |
| 12 Sept 2026, 09:23 | 34 | no change |
| 11 Sept 2026, 18:16 | 34 | +2 |
| 9 Sept 2026, 17:47 | 32 | first reading |
8 posts held, back to 25 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 1 page of Telegram’s post history, 20 posts per page.
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.
| Window | Rolling 30 days · latest post in window 7 September 2026 |
|---|---|
| Posts held | 8 (25 July 2026 – 7 September 2026) |
| Views total | 189 |
| Reactions total | 40 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 12 Sept 2026, 09:23 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.
77 reactions across 7 posts, in 7 distinct kinds. The most used accounts for 32.5% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 🔥 | 25 | 32.5% | |
| ❤ | 19 | 24.7% | |
| 👍 | 18 | 23.4% | |
| 🤔 | 7 | 9.09% | |
| ✍ | 6 | 7.79% | |
| 👀 | 1 | 1.30% | |
| 👾 | 1 | 1.30% |
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 7 of the 8 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 77 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 8 most recent posts we hold, published 25 July 2026 to 7 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.
INFMT готов Это инструмент для преподавателя, который готовит к ЕГЭ по профильной математике. Есть много полезных ресурсов для ученика, но мне как преподавателю часто не хватало качественных материалов для ведения уроков. Показать, как устроено сечение или как коэффициент двигает график, мы обычно можем только на доске и от руки, перерисовывая одно и то же много раз. Отработать приём — на том небольшом списке задач…
🔥11❤5👍4
Ученик с вами спорит, и это хорошо Ни один человек не может быть прав всегда. Абсолютно все люди хотя бы раз в жизни допускали ошибки, это нормально, мы не роботы. Но нам свойственно остро реагировать, когда наши ошибки замечают. Я знаю, что многие учителя скорее съедят свои ботинки, чем признают, что были в чем-то неправы, ведь это будет удар по репутации, позор, стыд, расписка в собственной некомпетентности и так…
🔥7👍3❤1
Posted without readable text
✍4👍4👀1
Как измерять Ученик решал простейшие тригонометрические уравнения быстро и без ошибок, потому что помнил наизусть серии корней. Месяц мы разбирали единичную окружность, и он стал решать медленнее, путаться там, где раньше не путался, и после каждого шага спрашивать: а там вот так надо? Процент решённых задач за этот месяц просел. Прошлый пост закончился мыслью про подмену цели, и мне хочется еще немного развить эту…
❤6✍1🔥1
Как ЕГЭ отучает учителей думать. Часть 2 Проблема в том, что натаскивание на шаблоны все равно кажется хорошей стратегией — требует мало ресурса, дает неплохой результат. Это проще и для учителя, и для ученика, но дело не только в простоте. Подливает масла в огонь мнение, что ЕГЭ — шаблонный экзамен, сводящийся к набору заученных приёмов. Зачем учить думать, если экзамен этого не требует? Мысль удобная и, что опасн…
🤔7👍5✍1
Как ЕГЭ отучает учителей думать. Часть 1 Есть старый эксперимент с зефиркой: ребёнку дают одну и обещают вторую, если он вытерпит и не съест сразу. Большинство не терпит, съедают зефирку раньше срока и вторую не получают. С подготовкой к ЕГЭ похожая история, только выбор между быстрым и настоящим результатом. Быстрый результат - это натаскивание на шаблон. Ученику даётся готовый алгоритм, он применяет его на похожи…
🔥6❤1👾1
Кто здесь Привет. Это канал о преподавании математики, о том, как объяснять и строить подготовку так, чтобы у ученика появлялось понимание, а не набор выученных алгоритмов. Я хочу собрать тут комьюнити преподавателей, которым важно научить детей думать в широком смысле этого слова. Детство моё прошло в среде учителей. Прабабушка преподавала русский и литературу, бабушка физику с математикой, мама английский. Похоже…
❤6👍2
Channel created
Showing the 8 most recent of 8 posts we hold for @neformaths. 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.
Named by 1 registered channel — 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.
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 19 September 2026 — this entry's latest reading, not the date you are reading this.
“INFMT — про преподавание математики” (@neformaths), 36 subscribers as measured 19 September 2026. Telegram Register, tgregister.com/channel/neformaths.
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.