Потихоньку начинаем готовиться к прыжкам💃🏻🐎 То чувство, когда всю жизнь этого хотела и всё никак не доходили руки и ноги 😄 А сейчас мурашки по коже…😍
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Channel
@sofya_lapyshkina
On this record: Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Cite this entry
141subscribers
+1 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1001537544751 |
|---|---|
| Type | Channel |
| Username | @sofya_lapyshkina |
| Created | Between 1 August 2021 and 28 February 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 8 August 2026 |
| Last confirmed live | 21 August 2026 |
| Measurements held | 3 |
| Confirmed unchanged | 1 time, most recently 21 August 2026 |
| On Telegram | t.me/sofya_lapyshkina |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 21 Aug 2026, 14:58 | 141 | +1 |
| 8 Aug 2026, 22:30 | 140 | no change |
| 7 Aug 2026, 04:46 | 140 | first reading |
15 posts held, back to 7 January 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.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 15 posts for this entry, the most recent from 5 April 2026. An engagement rate over an empty window would be a number about nothing.
Measured directly from 6 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.
162 reactions across 15 posts, in 8 distinct kinds. The most used accounts for 45.1% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 73 | 45.1% | |
| 🔥 | 52 | 32.1% | |
| 💘 | 19 | 11.7% | |
| 🍓 | 7 | 4.32% | |
| 🥰 | 5 | 3.09% | |
| 👍 | 3 | 1.85% | |
| 👏 | 2 | 1.23% | |
| ❤🔥 | 1 | 0.617% |
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 15 of the 15 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 162reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 15 most recent posts we hold, published 7 January 2026 to 5 April 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 @sofya_lapyshkina. 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 15 most recent posts we hold for this entry, published 7 January 2026 to 5 April 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.
Потихоньку начинаем готовиться к прыжкам💃🏻🐎 То чувство, когда всю жизнь этого хотела и всё никак не доходили руки и ноги 😄 А сейчас мурашки по коже…😍
🔥8❤4
Друзья, в этом году я баллотируюсь в Молодежную думу при Законодательном Собрании Владимирской области! Прошу всех принять участие и проголосовать за меня и мой проект🔥 Голосование через "Яндекс.Формы": https://forms.yandex.ru/u/69bbedfde010db39d2cb6763/ Открываем, листаем вниз, нажимаем Лапушкина Софья Андреевна, листаем в самый низ, нажимаем "отправить". Буду признательна за участие и распространение!❤️🙏🏻
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Семейный фестиваль "Zа Наших"🇷🇺 Приглашаем жителей и гостей городского округа Покров на праздник, посвящённый Дню защитника Отечества и Масленице! Основное внимание буднт приковано к дог-биатлону🔥 Для участия приглашаются семейные команды из мамы, папы, ребёнка и собаки. ‼️ВАЖНО: команда может просто состоять из двух взрослых и ребёнка (даже не родственники), собаку вам так же могут предоставить на празднике. Осно…
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p.s. звук к сожалению у нас не записался, поэтому пришлось мудрить😅 Конец спектакля «моя истерика»
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🎭МОЙ ДЕБЮТ НА ТЕАТРАЛЬНОЙ СЦЕНЕ🔥 Остросюжетный спектакль «Трещины» от образцовой театральной студии «Поколение Нэкст», под руководством Дарьи Литошко История, которая никого не оставила равнодушным. История, которая говорит о проблемах детей самими детьми. Проблемы, поднимаемые в спектакле, нашли отклик почти в каждом зрителе и отзывались горьким эхом внутри.💔 Несколько лет назад я создавала фильм-перфоманс «Искусс…
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У кого-то ПИЛАТЕС У кого-то пиВатес😁😜
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ПИЛАТЕС ONLINE & OFFLINE🧘🏻♀️ Пилатес — это умная система, которая учит тело двигаться правильно. Он снимает зажимы в спине и шее, укрепляет глубокие мышцы и создает сильный мышечный корсет, возвращая тебе лёгкость и королевскую осанку. Идеально для тебя, если: ▪️ Работаешь в офисе и устала от сидячего образа жизни. ▪️ Чувствуешь напряжение и дискомфорт в спине. ▪️ Хочешь безопасную, эффективную нагрузку для тонуса…
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Video, posted without a caption
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СмЯшнЯвые МЫ😝😂❤️
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Треним🤸🏻❤️🔥
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Video message, posted without a caption
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Тельняшку с нас не снять❤️🩹
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Showing the 12 most recent of 15 posts we hold for @sofya_lapyshkina. 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.
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 21 August 2026 — this entry's latest reading, not the date you are reading this.
“Софья Лапушкина” (@sofya_lapyshkina), 141 subscribers as measured 21 August 2026. Telegram Register, tgregister.com/channel/sofya_lapyshkina.
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.