Channel
@teach_write_post
On this record: Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Polls · Citations · Cite this entry
424subscribers
+0 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1001820252222 |
|---|---|
| Type | Channel |
| Username | @teach_write_post |
| Description | Канал для педагогов, которые хотят писать понятно и интересно о себе, своей школе или детском саде. Автор — Валерия Маркова, преподаватель МГПУ, редактор. Для связи: @markovavk Этот же канал в ВК: https://vk.ru/teach_write_post |
| Created | Between 1 October 2022 and 30 September 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 8 August 2026 |
| Last confirmed live | 8 August 2026 |
| Measurements held | 2 |
| On Telegram | t.me/teach_write_post |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 8 Aug 2026, 05:30 | 424 | no change |
| 7 Aug 2026, 12:49 | 424 | first reading |
18 posts held, back to 22 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 1 pageof 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 5 August 2026 |
|---|---|
| Posts held | 18 (22 June 2026 – 5 August 2026) |
| Views total | 764 |
| Reactions total | 122 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 8 Aug 2026, 05:30 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.
Lifetime counters from Telegram’s own channel header, read 8 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.
246 reactions across 18 posts, in 9 distinct kinds. The most used accounts for 32.9% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 🔥 | 81 | 32.9% | |
| ❤ | 77 | 31.3% | |
| 👍 | 58 | 23.6% | |
| 😁 | 17 | 6.91% | |
| ⚡ | 3 | 1.22% | |
| 🤔 | 3 | 1.22% | |
| 🥰 | 3 | 1.22% | |
| 👀 | 2 | 0.813% | |
| 👏 | 2 | 0.813% |
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 18 of the 18 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 246reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 18 most recent posts we hold, published 22 June 2026 to 5 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.
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @teach_write_post. 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 18 most recent posts we hold for this entry, published 22 June 2026 to 5 August 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.
Вы скажете себе «спасибо» Бывает, пишешь статью, пишешь, как вдруг — искра, буря, безумие. Аврал! Приходится откладывать текст и разбираться с более срочным делом, которое потом перерастает в долгосрочное. Тем временем текст лежит, скучает, и ты мало-помалу забываешь, на чём остановился и как хотел продолжить. Недавно мы с коллегой воскресили одну такую статью, лежала она полгода... Но быстро вспомнили, какие части…
🔥6❤2👍2
Моя вторая статья для Skillbox Media «Возьму-ка нейросети! Сама чему-нибудь научусь», — сказала я, когда шеф-редактор Дарья Чепурнова предложила выбрать тему второй статьи для Skillbox Media (об опыте с первой рассказывала здесь). И правда: задав вопросы экспертам, я узнала много любопытного. Хотя статья больше для аналитиков, приёмы работы с нейросетями пригодятся и нам, педагогам-авторам. Кое-что я уже попробовал…
🔥9❤7👍6
Это не... про... непрошеный гость! Гость, который приходит без приглашения, за любым столом несёт ерунду и травит бородатые анекдоты, — вот наш случай. Оборот «это не про... это...» появился ещё до нейросетей, но во многом из-за них расселился по всему интернету — аж бесит! Филолог Марина Королёва пишет: «Лет десять назад проявилось — сначала редкое и осторожное — использование „про“ в несколько непривычной позиции…
⚡3❤3🔥3👍1
Что думаете по поводу модной конструкции «это не про...»? Как пример, «Наша школа — это не про музыкальное образование, это про досуг».
Shares as published, totalling 101%. No per-option vote count is published by Telegram, so none is shown.
😁4👍3❤2👀1
Обновили руководство по описанию педагогических разработок Люблю интернет-медиа за возможность обновлять опубликованные материалы. Уже год как на портале МГПУ Prizma живёт статья «Как педагогу описывать свои разработки: 5 шагов, которые помогут структурировать идею и подготовить её к презентации». За это время нам с соавторами стало понятно, как читатели ею пользуются и что можно улучшить, а редакции — как сделать …
❤7👍4🔥2
Бороться и искать, найти и переделать 😁 Похоже, пришло время добавить в резюме строку «Переписываю тексты после ИИ». Было: Развитие идёт через несоответствие, а не через согласие. «Не вариться в собственном соку» — это про намеренное введение чужеродного опыта. Стало: Развитие происходит благодаря взаимодействию людей с разным опытом и идеями. — Было: Формализация — один из наиболее разрушительных барьеров: она п…
👍4🔥4😁2
Цитаты для настроя и знакомства С отсылками разобрались. А вот если вы в точности воспроизвели фразу из книги, фильма и т. д., указали источник, то это уже цитата. В наших обсуждениях Анна заметила, что цитата настраивает нас на знакомство с текстом. Мне тут же вспомнились удачные эпиграфы. Возьмём пособие для педагогов «Психология общения» М. И. Станкина. Раздел «Приёмы самовоспитания» начинается так: «Спеши сего…
🔥6❤4👍2👏1
Приём, который может сблизить автора и читателя Отсылка — такая деталь в тексте, которая намекает на другое произведение или даже событие, человека. Например, это могут быть слова из песни, фильма, книги, упоминания исторических фактов, персонажей и т. п. В отличие от цитаты, отсылку обычно не снабжают указанием на источник — предполагается, что читатель её распознает. Если так и случится, скорее всего, он порадуе…
❤6🔥5👍3
Же не манж па си жур! Который отпуск не обходится без пушистых гостей. Приходят почти каждый жур день и смотрят на меня вот так. Я им, конечно же, верю. 💬 Пока я открываю очередной пакетик корма, напишите в комментариях, что вы думаете по поводу отсылок к известным книгам, фильмам. Улыбаетесь ли, встречая их в текстах? Подпишитесь на канал: 🔵ТГ 💬ВК
😁10❤4👍3🥰3
Как DeepSeek настроился на нужный мне стиль изложения Редактировала новый научный обзор и решила привлечь ИИ — пусть помогает, если у самой случится ступор. С одной лишь инструкцией DeepSeek кромсал бы текст как ему вздумается. Мне же хотелось, чтобы он делал как я. Для этого я загрузила в него две версии другого, прошлогоднего обзора: первоначальную от автора и финальную, опубликованную после моей редактуры. Он до…
🔥8❤3👍3
Кто в паблике главный — нейросеть или автор? Раньше в ВК я наблюдала, как из паблика в паблик кочует канцелярит, а теперь — нейроштампы «Не просто рисовали, а превратились в настоящих художников», «Это не про запреты. Это про безопасность» и т. п. И то и другое заглушает в постах авторский голос, и паблики становятся похожи один на другой. Конечно, можно просить нейросеть писать тексты, но только сам человек сделае…
❤7👍5🔥5
🚀 Сочетания клавиш для космической скорости Когда до отпуска осталось два часа, а тебе надо доделать текст со всякой красотой вроде гиперссылок и жирного шрифта, они реально спасают. Сочетания клавиш! Писала о них в этом посте. 😅 Ctrl + K и Ctrl + B сегодня — только в путь! #невеликийкомбинатор Подпишитесь на канал: 🔵ТГ 💬ВК
❤6🔥3👏1😁1
Showing the 12 most recent of 18 posts we hold for @teach_write_post. 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.
Stars beside a post are paid reactions — Telegram Stars, bought with money and spent on that post. They are a different unit from reactions and are never added to them, here or anywhere else on this page.
The 2 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.
Что думаете по поводу модной конструкции «это не про...»? Как пример, «Наша школа — это не про музыкальное образование, это про досуг».
Shares as published, totalling 101%. No per-option vote count is published by Telegram, so none is shown.
Ситуация: в ТГ- или ВК-посте автор ошибся — например, неверно употребил слово либо допустил двусмысленность. Как ему поступить?
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 18 most recent posts we hold, published 22 June 2026 to 5 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.
Citation-graph rank — 1,022,880 of 1,169,250entries 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.
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.
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.
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.
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 8 August 2026 — this entry's latest reading, not the date you are reading this.
“Учим, пишем, публикуем” (@teach_write_post), 424 subscribers as measured 8 August 2026. Telegram Register, tgregister.com/channel/teach_write_post.
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.