Channel
@serdcem_veleno
On this record: Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Citations · Cite this entry
1,793subscribers
-2 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 1,000–3,162.
| Telegram ID | -1001933177498 |
|---|---|
| Type | Channel |
| Username | @serdcem_veleno |
| Created | Between 1 April 2023 and 31 October 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 14 August 2026 |
| Measurements held | 3 |
| Confirmed unchanged | 2 times, most recently 14 August 2026 |
| On Telegram | t.me/serdcem_veleno |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 11 Aug 2026, 05:37 | 1,793 | -2 |
| 7 Aug 2026, 22:01 | 1,795 | no change |
| 7 Aug 2026, 21:49 | 1,795 | first reading |
6 posts held, back to 19 July 2025 — 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.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 6 posts for this entry, the most recent from 15 September 2025. An engagement rate over an empty window would be a number about nothing.
Measured directly from 2 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.
396 reactions across 6 posts, in 13 distinct kinds. The most used accounts for 62.4% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 247 | 62.4% | |
| 😍 | 28 | 7.07% | |
| 🔥 | 26 | 6.57% | |
| 👍 | 22 | 5.56% | |
| 🥰 | 18 | 4.55% | |
| 👏 | 16 | 4.04% | |
| 🙏 | 14 | 3.54% | |
| ❤🔥 | 11 | 2.78% | |
| 🆒 | 6 | 1.52% | |
| 💋 | 3 | 0.758% | |
| 🤝 | 3 | 0.758% | |
| 🕊 | 1 | 0.253% | |
| 😇 | 1 | 0.253% |
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 6 of the 6 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 396reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 6 most recent posts we hold, published 19 July 2025 to 15 September 2025, 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 @serdcem_veleno. 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 6 most recent posts we hold for this entry, published 19 July 2025 to 15 September 2025. 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.
И, конечно, уважаемые коллеги, поздравляю вас (хоть и с опозданием) с началом нового учебного года. Пусть он будет наполнен яркими и согревающими событиями. Мой творческий декретный отпуск остался в прошлом. Теперь и я готовлюсь к занятиям, слежу за сообщениями в рабочем чате, со звонком вхожу в аудиторию, стараюсь запомнить имена студентов. Пока пытаюсь адаптироваться к новому жизненному этапу... 💌 Решила заполнит…
❤55🔥22🥰12
Последний месяц лета я провела в кругу самых близких. В августе приезжала в гости мамочка. Фотографии мы сделали в парке Монрепо. Этим сентябрьским вечером захотелось поделиться с вами нашими тёплыми снимками-воспоминаниями.🤍
❤27🥰6💋3
Как же давно я не создавала игры-упражнения для канала! Последней интерактивной разработкой я поделилась с вами в марте. Время, которое мы с доченькой провели в больнице, надолго вывело меня из строя, выбило почву из-под ног, погасило творческий огонь. К публикациям я постепенно вернулась, а желание создавать материалы появилось только сейчас. Тёплые встречи, уютные поездки, книги, прогулки и, конечно, время вернул…
❤65👏16👍10😍4🙏1
Завтра начнёт работу мастерская для словесников «Нейросети для учителя». С уважением отношусь к Люции Махмутовой и Елене Костиной. Не раз сохраняла себе творческие идеи авторов проекта.❤ Ещё прошлым летом я с интересом читала отзывы о мастерской. Потом слушала выступление Люции Махмутовой на Марафоне филологов. С помощью нейросети впервые составила упражнение по русскому языку. Благодаря подсказкам спикера-професси…
❤18👍12
Прошла неделя после встречи с коллегами-филологами. Впечатления улеглись, мысли начали собираться в текст. Вот как бывает. 💚Смотришь выступления спикеров на Марафоне филологов, держишь наготове ручку с блокнотом, потому что боишься упустить ценные мысли. 💚Подписываешься на каналы и сообщества педагогов, горящих своим делом. 💚Читаешь и сохраняешь публикации, пронизанные любовью к предмету, чтобы потом к ним возвращат…
❤44😍16🙏13🔥4🤝3🕊1😇1🆒1
На днях я вновь посетила Музей Анны Ахматовой в Фонтанном Доме. Прогулялась по саду. «У нас не было ни одного окна, которое бы не выходило в сад. И нельзя было ни дня прожить, чтобы не посмотреть, что делается в саду. Снег ли там, идёт ли дождь, чёрные сучья или зелень, цветёт сирень или цветут яблони, – это была непрерывная жизнь в природе. И, конечно, это очень много значило для Анны Андреевны». И. Н. Пунина Посто…
❤38❤🔥11😍8🆒5
Showing the 6 most recent of 6 posts we hold for @serdcem_veleno. 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.
Citation-graph rank — 760,299 of 1,481,217entries 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.
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 11 August 2026 — this entry's latest reading, not the date you are reading this.
“"Сердцем велено..."” (@serdcem_veleno), 1,793 subscribers as measured 11 August 2026. Telegram Register, tgregister.com/channel/serdcem_veleno.
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.