Channel
@margaritabuzova1
On this record: Growth · Engagement · Reactions · Posts · Citations · Cite this entry
889subscribers
+13 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1001709011333 |
|---|---|
| Type | Channel |
| Username | @margaritabuzova1 |
| Created | Between 1 December 2021 and 30 April 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 16 August 2026 |
| Measurements held | 3 |
| Confirmed unchanged | 1 time, most recently 16 August 2026 |
| On Telegram | t.me/margaritabuzova1 |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 16 Aug 2026, 04:19 | 889 | +13 |
| 7 Aug 2026, 10:47 | 876 | no change |
| 7 Aug 2026, 10:39 | 876 | first reading |
13 posts held, back to 16 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 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. It is computed over the 9 of 12 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 6 August 2026 |
|---|---|
| Posts held | 13 (16 July 2026 – 6 August 2026) |
| Views total | 1,902 |
| Reactions total | 71 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 7 Aug 2026, 10:47 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.
74 reactions across 10 posts, in 5 distinct kinds. The most used accounts for 67.6% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 50 | 67.6% | |
| 🔥 | 9 | 12.2% | |
| 👍 | 8 | 10.8% | |
| 😍 | 4 | 5.41% | |
| 😱 | 3 | 4.05% |
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 10 of the 13 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 74reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 13 most recent posts we hold, published 16 July 2026 to 6 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.
🥳🧘♀️Уже 1 год, как я медитирую! Каждый день. Без пропусков. Шла к этому НЕСКОЛЬКО ЛЕТ! Честно, я очень редко горжусь собой, но это именно тот случай. Моя "годовщина" была 15 июля, и, честно, мне до сих пор не верится, что я смогла. Потому что последние годы дисциплина практически отсутствовала в моей жизни, и я возвращаю её с огромным трудом. Поэтому даже такая маленькая победа для меня — повод для гордости и рад…
❤10👍3🔥1
💍Торт на годовщину свадьбы. Посмотрите, до чего нежно получилось... +1 причина приготовить Черничный чизкейк)
❤6
🎂🫐В чём прелесть Черничного чизкейка по моему рецепту? ✔️1. Я думаю, это понятно и так (исходя не только из моих слов, но и отзывов моих учениц, которыми я делилась на днях), что это ооочень вкусный десерт! Но этого мало, поэтому я продолжу😁 ✔️2. Чизкейк очень простой в приготовлении. Вот правда. Там нет кучи слоёв, начинок... Просто приготовили корж, сверху вылили крем. Причём крем тоже максимально простой в приго…
🤩1,5 часа в 1 минуте. Немного кадров с приготовления того самого чизкейка🫐 П. С. 1,5 часа он готовился именно на мастер-классе. Дома его можно сделать сильно быстрее. Даже в таком слабом блендере, как у меня на видео)
🔥8❤3👍1
💜Рецепт Черничного чизкейка я разрабатывала специально для своего живого мастер-класса в Москве, который проводила в конце 2019 года. Как давно это было! Я тогда записывала курс и мне нужен был рецепт торта, который будет на уровне остальных рецептов курса. Потому что сделать что-то проще мне уже не позволяла планка. ☝️При этом, чтобы у меня получился совершенно НОВЫЙ рецепт. Которого нет ни на курсе, ни в моих кни…
❤6👍2
⬆️Да, друзья, это я, не бойтесь) Я ЛИЧНО отправляю вам сообщения с подарком за подписку🤗🎁 С личного аккаунта. Отправляю не всем сразу, потому что вернёмся к пункту 1😁 И плюс есть лимиты) Моя единственная личка @margarita_buzova П. С. если вы хотите получить рецепт за подписку быстрее, можете сами написать мне в ЛС слово "клюква" — я отправлю вам его❤️
😍4
Маргарита, добрый день! Вы пишите личные сообщения новым подписчикам? Мне пришло от вас письмо. Это действительно вы?
А вот и черничный чизкейк.Я очень вам благодарна за ваши прекрасные рецепты!
❤4👍2
Я готовила уже раз 5 , но использовала дачную жимолость, все в восторге!
Я делала такой торт в виде тарталеток, основу брала с другого торта, а крем из этого рецепта. Он очень вкусный и нереально красивый цвет. А ещё полезный. Мы обычно мало едим чернику в сыром виде, а в таком виде ешь и наслаждаешься❤️
❤3
🫐Этот торт настолько классный, что ближайшее время на канале хочу посвятить именно ему. Ему одному) Это Черничный чизкейк в сыроедной версии (без сахара, глютена, лактозы, яиц и без выпечки). У многих из вас этот рецепт появился зимой. Если вы уже успели приготовить его, поделитесь, пожалуйста, своими впечатлениями и, если есть, фото. Можете прямо здесь в комментариях или прислать мне в личку @margarita_buzova . Буд…
❤6
🥳8 лет назад вышла моя первая книга, "Живи сладко"! 24 июля 2018 г. Рецепты и информацию об ингредиентах я собирала 5 лет, а написала книгу всего за несколько месяцев. Она не была чем-то выдуманным из головы, у меня никогда не было вообще такой идеи — написать книгу. Но мне нужно было выходить на новый уровень — начать учить людей в онлайне, много людей, готовить полезные сладости. Книга была на тот момент — единств…
❤12
Showing the 12 most recent of 13 posts we hold for @margaritabuzova1. 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.
Citation-graph rank — 468,597 of 1,568,528entries 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.
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 August 2026 — this entry's latest reading, not the date you are reading this.
“Маргарита Бузова. Обучение полезным сладостям без выпечки🎂🌱” (@margaritabuzova1), 889 subscribers as measured 16 August 2026. Telegram Register, tgregister.com/channel/margaritabuzova1.
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.