Channel
@masha_swannov
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
119subscribers
-3 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1001755173843 |
|---|---|
| Type | Channel |
| Username | @masha_swannov |
| Created | Between 1 December 2021 and 30 April 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 9 August 2026 |
| Last confirmed live | 16 September 2026 |
| Measurements held | 5 |
| Confirmed unchanged | 1 time, most recently 16 September 2026 |
| On Telegram | t.me/masha_swannov |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 16 Sept 2026, 14:01 | 119 | -1 |
| 9 Sept 2026, 00:38 | 120 | -1 |
| 30 Aug 2026, 09:03 | 121 | -1 |
| 9 Aug 2026, 03:32 | 122 | no change |
| 7 Aug 2026, 05:17 | 122 | first reading |
20 posts held, back to 2 March 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.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 20 posts for this entry, the most recent from 6 June 2026. An engagement rate over an empty window would be a number about nothing.
Measured directly from 4 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.
65 reactions across 16 posts, in 13 distinct kinds. The most used accounts for 38.5% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 25 | 38.5% | |
| 💯 | 10 | 15.4% | |
| ❤🔥 | 7 | 10.8% | |
| 👏 | 5 | 7.69% | |
| 🔥 | 4 | 6.15% | |
| 🤩 | 4 | 6.15% | |
| 🍾 | 2 | 3.08% | |
| 🕊 | 2 | 3.08% | |
| 🥰 | 2 | 3.08% | |
| 😁 | 1 | 1.54% | |
| 😍 | 1 | 1.54% | |
| 🤔 | 1 | 1.54% | |
| 🤝 | 1 | 1.54% |
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 16 of the 20 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 65 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 20 most recent posts we hold, published 2 March 2026 to 6 June 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.
Всем привет! Кто соскучился Канал временно не веду, но в закрепе много полезной информации, а пока я активно продвигаю Инстаграм 🩵 Чтоб подписаться жми сюда Там у меня много юмора через психологию и не только 🩵 До встречи ! P.S. отписываться от канала не нужно , я сюда вернусь, но чуть позже 🥹
❤3🤝1
Signed Марья Swan
Channel name was changed to «Марья Лебедева | Синергия»
Photo, posted without a caption
❤2🤔1
Signed Маша Swan
Video, posted without a caption
😁1
Signed Маша Swan
Прикиньте, где мы были на днях. Кто любит кукисы быстрее туда ❤️ Все явки/ пароли здесь : https://t.me/cookielookieru Бутырская ул., 84, Москва https://yandex.ru/maps/org/kuki_luki/162062240422?si=zazf05bqc9ppxjxn0chfcvg9wm
Signed Маша Swan
5 ошибок в отношениях, которые допускают все: 1. Ожидание от партнера того, чего он не знает, что от него ожидают. А потом он оказался не тот, кто нужен. 2. Не договариваются заранее что можно, что нельзя в отношениях. Думая, что партнер должен знать по умолчанию, что поцелуй это измена. 3. Не обсуждают с кем останутся дети или животные после расставания, если такое случится. 4. Не уходят от человека на первых порах…
❤2❤🔥1😍1
Signed Маша Swan
Самые большие мои ошибки: 1. Думать , что люди плохие, а я хорошая. Что мир не справедлив и меня никто не любит. В то время как люди не плохие, а им плохо, а мир не несправедлив, а это мой выбор так считать и делать выбор. 2. Предполагать, что я лучше знаю, чем мои родители. Время показало обратное. 3. В отношениях не подстраиваться, а подстраивать. Это и есть здоровые отношения. 4. В воспитании детей думать, что…
❤4💯2🔥2
Signed Маша Swan
«Зачем следить за новостями? Это толькостресс!» — так говорили мне много лет. И я верила. Теперь я уверена: это часть большого плана.Меньше информации → меньше вопросов → меньше действий. Но реальность никуда не денется. События,которые мы переживаем сегодня, уже завтрастанут историей. И лучше знать её по горячим следам, чем потом удивляться: «Как так вышло?» 📌 Как это делать без стресса? — Достоверные источники.…
💯2🔥2
Signed Маша Swan
Voice message, posted without a caption
👏2💯2
Signed Маша Swan
А скажите кто из вас читает новости каждый день! ? Какие и почему именно эти?
❤2
Signed Маша Swan
Берегите свою кукушечку 😁
🕊2💯1
Signed Маша Swan
Для моих подписчиков тоже готова провести тест ❤️ Заходите в группу Гала нетворкинг и оставляйте свои ответы
Signed Маша Swan
Showing the 12 most recent of 20 posts we hold for @masha_swannov. 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.
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 16 September 2026 — this entry's latest reading, not the date you are reading this.
“Марья Лебедева | Синергия” (@masha_swannov), 119 subscribers as measured 16 September 2026. Telegram Register, tgregister.com/channel/masha_swannov.
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.