#вопросыотжпт А тут смешная последовательность вопросов сгенерировалась: - Почему в ваших историях так часто рядом оказываются красота и тревога? - Как вы решаете, где заканчивается чудо и начинается опасность? - Какие существа или предметы из ваших книг вам самим хотелось бы встретить в реальности? 1) Потому что я очень тревожный человек, и тревога в моих книгах рано или поздно оказывается рядом со всеми элеме…

Channel
𝔪𝔞𝔯𝔦𝔷𝔶𝔞𝔟𝔞_𝔭𝔲𝔟 | Мария Заболотская Фэнтези Сказки Разговоры
@marizyaba_pub
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
391subscribers
+0 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
Register entry
| Telegram ID | -1001702424990 |
|---|---|
| Type | Channel |
| Username | @marizyaba_pub |
| Description | Мария Заболотская. Книги. https://author.today/u/marizyaba/works/ |
| Created | Between 1 December 2021 and 30 April 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 15 August 2026 |
| Measurements held | 2 |
| On Telegram | t.me/marizyaba_pub |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 6 Aug 2026, 23:16 | 391 | no change |
| 6 Aug 2026, 23:03 | 391 | first reading |
Engagement
16 posts held, back to 26 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 · 30 days
- 45.6%
- avg views ÷ 391 subscribers
- Avg views / post
- 178
- 16 posts measured
- Reaction rate
- 18.2%
- reactions ÷ views · ER floor
- Posts in window
- 16
- of 16 held
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 15 of 16 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 | 16 (26 July 2026 – 6 August 2026) |
| Views total | 2,852 |
| Reactions total | 519 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 6 Aug 2026, 23:16 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.
What this channel posts
- Photos
- ≈1,400
- Videos
- ≈29
- Links
- ≈374
Lifetime counters from Telegram’s own channel header, read 6 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.
Reaction mix
519 reactions across 15 posts, in 11 distinct kinds. The most used accounts for 50.9% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 264 | 50.9% | |
| 🔥 | 96 | 18.5% | |
| 😁 | 46 | 8.86% | |
| ❤🔥 | 38 | 7.32% | |
| 🥰 | 29 | 5.59% | |
| 🤯 | 22 | 4.24% | |
| 👍 | 15 | 2.89% | |
| 💔 | 4 | 0.771% | |
| 🤩 | 2 | 0.385% | |
| 🦄 | 2 | 0.385% | |
| 👀 | 1 | 0.193% |
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 16 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 519reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 16 most recent posts we hold, published 26 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.
Recent posts
#вопросыотжпт Вопрос ХХ Ваше самое необычное место, где вам пришлось писать (или пришла гениальная идея)? Лучше всего мне придумывается на ходу (и особенно хорошо - в прохладную дождливую погоду, а вот жаркое и солнечное время для меня антитворчество в чистом виде). Поэтому большая часть того, что я написала, задумана во время прогулок в лесу. Но есть эпизод, создание которого у меня лежит в отдельной папке памят…
💔3
Марик, прошлогодняя лишайная микрокошка, которую я достала из мусорного котлована (фото 1) мелькала на видео с Зеленухом. Но пусть будет для нее отдельный пост. Видимо, из-за тяжёлого детства она осталась мелковата. И голос у нее до сих пор не взрослый, а тонкий и пронзительный, как у котенка. Весной была стерилизована (это в нашей беспокойной глуши весьма непростая акция, поэтому ставлю себе жирный плюс в котоводче…
❤53👍4🥰2
#вопросыотжпт Вопрос #ХХ Случалось ли, что вы писали сцену, плакали над ней, а потом утром просыпались и думали: «Боже, какой пафос!» — и вырезали всё без жалости? Вопрос, возможно, показался бы мне типично ии-глупеньким, но забавно то, что у меня все ровным счётом наоборот. Серьёзные драматичные сцены (особенно финальные), я довольно часто пишу, невольно закатывая глаза до затылка. У меня мощный блок на любые мо…
😁22❤12
А это некоторые скрины из статей в бразильской прессе. И фото другого моего двоюродного прадеда, сходство с которым, кмк, явное
🔥30❤1
Совершенный оффтоп - не про книги, не про котов, и даже не про помидоры😂 Подумала: вот чего вы обо мне не знаете – так это о моем увлечении собственным генеалогическим древом. Поэтому расскажу вам о своем расследовании некоторых семейных тайн, а именно: Как Я Нашла Богатых Родственников-Убийц В Бразилии (завлекательно, да?) Я уже говорила, что многие мои увлечения имеют спорадический характер: пару-тройку лет я м…
❤14🔥4🤯1
Станислав, судя по временным вехам, совсем молодым попал на первую мировую войну (год рождения 1901-1902), да ещё и в авиацию. Почитала немного материалов на эту тему: "ожидаемая продолжительность жизни пилота истребителя во время Первой мировой войны составляла всего одиннадцать дней. У них также не было парашютов, потому что они считали, что это увеличит вероятность того, что они не смогут вернуться с поврежденным …
😁18🔥8❤2
Казалось бы, после того, как сын отправился в тюрьму вслед за отцом, история семьи должна была закончиться плачевно (у Станислава была еще и дочь, но каково ей было устраивать жизнь с таким семейным анамнезом? – так приблизительно я рассуждала). Но когда я начала копаться в открытых реестрах судебных дел Рио-де-Жанейро, оказалось, что после смерти Станислава в 1993 году наследники ДО СИХ ПОР делят его недвижимое иму…
🔥34❤1
✨👑✨ НОВАЯ ГЛАВА ✨👑✨ Приятного чтения! https://author.today/reader/460128/6025156 https://litnet.com/ru/reader/princ-ivo-voronya-lapka-b453448?c=8352444 https://prodaman.ru/MariZyaba/books/Princ-Ivo-Voronya-Lapka?part=go&page=68 https://litspace.online/reader/1254/35249
❤31❤🔥9🤩2🦄1
Выполняю запрос по Зеленуху. Свежайшeе видео этого утра. Но, увы, со звуковыми помехами 😅🤷
❤31🥰7👍3👀1💔1
Photo, posted without a caption
🤯21
Разбирала хламовник на планшете (скрины, загрузки), пока была оффлайн из-за отсутствия электричества и мобильной связи. Нашла сохранённый скрин (отдельный пост ниже) ⬇️⬇️⬇️⬇️⬇️ Сохранённый, видимо, для того, чтобы мрачнее и увлеченнее скользить по волнам черной меланхолии 😆 Думаю вот: ну ок, не собака и не празднование Пасхи. А что тогда? Не у всех же авторов насыщенная "книжная" жизнь. Я не покупаю бумажные книг…
🥰18❤11👍4
Showing the 12 most recent of 16 posts we hold for @marizyaba_pub. 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
Citation-graph rank — 486,525 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.
Forward network
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.
Mentions
Named by 3 registered channels — 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.
Cite this entry
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 6 August 2026 — this entry's latest reading, not the date you are reading this.
“𝔪𝔞𝔯𝔦𝔷𝔶𝔞𝔟𝔞_𝔭𝔲𝔟 | Мария Заболотская Фэнтези Сказки Разговоры” (@marizyaba_pub), 391 subscribers as measured 6 August 2026. Telegram Register, tgregister.com/channel/marizyaba_pub.
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.