Channel
@margielovna
On this record: Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Polls · Citations · Handles named that no longer answer · Cite this entry
9,347subscribers
+255 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 3,162–10,000.
| Telegram ID | -1002742171866 |
|---|---|
| Type | Channel |
| Username | @margielovna |
| Created | Between 1 June 2025 and 31 August 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 15 August 2026 |
| Measurements held | 4 |
| Confirmed unchanged | 1 time, most recently 15 August 2026 |
| On Telegram | t.me/margielovna |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 15 Aug 2026, 19:43 | 9,347 | +95 |
| 12 Aug 2026, 01:42 | 9,252 | +145 |
| 8 Aug 2026, 15:08 | 9,107 | +15 |
| 7 Aug 2026, 17:16 | 9,092 | first reading |
30 posts held, back to 6 August 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 14 pagesof 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 28 of 29 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 15 August 2026 |
|---|---|
| Posts held | 30 (6 August 2026 – 15 August 2026) |
| Views total | 23,189 |
| Reactions total | 594 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 15 Aug 2026, 09:17 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.
Measured directly from 5 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.
594 reactions across 27 posts, in 6 distinct kinds. The most used accounts for 64.1% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| custom 6208520559471364583 | 381 | 64.1% | |
| custom 5395860232503048753 | 75 | 12.6% | |
| custom 5202157027064832357 | 61 | 10.3% | |
| custom 5395761327996159817 | 34 | 5.72% | |
| custom 5280520358942764718 | 28 | 4.71% | |
| custom 5314552116428161228 | 15 | 2.53% |
Custom emoji. Every row above is a Telegram custom emoji, which the public preview renders as an element carrying only a numeric id — no character, and no image we can reach. The id is printed as-is rather than substituted with a look-alike glyph, because a stand-in would be our invention showing where a measurement should be. The counts beside them areTelegram’s.
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 28 of the 30 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 594reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 30 most recent posts we hold, published 6 August 2026 to 15 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.
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @margielovna. 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 30 most recent posts we hold for this entry, published 6 August 2026 to 15 August 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.
Как и для МакКуина, для меня мода всегда была формой эскапизма. О своем пути я рассказывала в тиктоке, пост набрал более 350 тыс. просмотров. Тут расскажу подробнее В возрасте 13-17 лет у меня практически не было друзей. Мне не с кем было разделить свои подростковые переживания, мысли о смерти и красоте, поэтому я создала собственный мир. Я прошла разные эпохи – от Средневековья до Викторианской и Эдвардианской эр…
💬 У тебя новое сообщение! привет, прошу прощения за банальный вопрос, но есть ли у вас история о том, как сформировался ваш стиль? как пришли к тому ви́дению, которое есть сейчас? было бы очень интересно узнать, спасибо ↩️ Свайпни для ответа.
Выбираем новую реакцию
The shares total 144%, above 100: this poll accepts more than one answer per voter. No per-option vote count is published, so the number of voters who chose each option is not derivable and is not shown.
custom 528052035894276471816custom 52021570270648323574custom 53958602325030487534
Сегодня total black подборка 🤩 🖤 Винтажная юбка с мехом, S/M 2000 Ботильоны United Nude, 39 4500 Жакет Diesel, S 6490 Перчатки YSL 9000 Сапоги для фанатов гусарских жакетов, 38 9900 Туфли Alexander McQueen, 38.5 10000 Мюли Maria Mishina, 37 15000 Жакет Et Dieu Créa La Femme, L – очень напоминает этнические коллекции МакКуина. Название бренда с фр. переводится «И сотворил Бог женщину» 15760 Куртка Balenciaga …
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Подборка секси архива 🚬 Кожаная куртка, S/M 3652 Корсет + чокер с подпалинами, XS 6528 Сумка Dolce&Gabbana 6750 Шорты Rick Owens, M 7500 Балетки Prada, 37 7500 Шорты из кожи, S 8500 Туфли Bruno Ferison, 39 10000 Блуза Ann Demeulemeester, S/M 13950 Юбка Alice Auaa, S 15000 #маржеловна_раскопки
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Зачем мы сделали колье из 25 мужчин? (1 отлетел, это место для тебя)) Съемка с Оксаной Стрельцовой была посвящена фильму «Голод». Главная героиня (ее играет Катрин Денев) – вампирша Мириам – страшно боится тотального одиночества в вечной земной жизни. От одиночества ее спасают любовники. Смертных мужчин (а порой и женщин) Мириам хранит на чердаке в своем особняке. Она буквально коллекционирует почивших любовников.…
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Inversion. makeupbychelseax #маржеловна_curated
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Долгое время слезы боролись с аурой, но я все же влупила слезы, ибо грустной реакции нам объективно не хватало 🤩🤩🤩 А что еще юзать, когда на любимой вещи стоит «товар зарезервирован» или цена крыла боинга…
custom 520215702706483235750
Подборка дня с викторианским флером 🚬🌟🤩 Клатч 2990 Сапоги-боксеры Cavalli, 38 7940 Платье Lacemade, S 8500 Лоферы Papucei, 38 9800 Рубашка Hache, S-M 9900 Кольчужный кошелек, начало ХХ века 12000 Боди с корсетом Feng, S 15000 Антикварные ботильоны, 36 16483 Антикварные ботильоны 1905-1910 гг, 37 25000 [ БОЛЬШЕ ПОДБОРОК ] #маржеловна_раскопки
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Свою брошь нашла в Vintiq 🚬 Начало XX века, брошь-рамка Но там еще столько красоты! Часть показала на 5м фото Есть у винтажных украшений свой характер, они все немного живые… #маржеловна_раскопки #маржеловна_безфильтров
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После этого поста вам захочется обвес из брошей 🤩 я предупредила! Этот стайл-трик придумали не вчера: еще Гальяно для Диор украшал модель антикварными брошами. Но до сих пор этот прием смотрится очень свежо и, поверьте мне, приковывает взгляды. Брошей может быть сколько угодно, и закалывать их можно куда угодно – от очевидных лацканов пидажка до чулок на коленках. И сами броши могут быть любыми, но винтаж и антикв…
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Выбираем новую реакцию для Маржеловны
The shares total 153%, above 100: this poll accepts more than one answer per voter. No per-option vote count is published, so the number of voters who chose each option is not derivable and is not shown.
custom 53145521164281612284custom 53958602325030487534
Showing the 12 most recent of 30 posts we hold for @margielovna. 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.
The 2 polls we hold for this entry, as Telegram rendered them when we read the post. A poll’s figures keep moving after that, so each one is dated.
Выбираем новую реакцию
The shares total 144%, above 100: this poll accepts more than one answer per voter. No per-option vote count is published, so the number of voters who chose each option is not derivable and is not shown.
Выбираем новую реакцию для Маржеловны
The shares total 153%, above 100: this poll accepts more than one answer per voter. No per-option vote count is published, so the number of voters who chose each option is not derivable and is not shown.
Percentages only — there are no per-option vote counts here, because Telegram publishes none.The public post preview gives each option’s share and a single voter total, and nothing else. Multiplying one by the other would produce a per-option tally that looks measured and is not: the shares are rounded to whole numbers before we ever see them. We print what was published and leave the column that does not exist empty.
The shares need not add up to 100.Rounding alone puts many polls at 99 or 101. A poll that allows more than one answer per voter runs well past 100 by design, and several here do. The bars are drawn against a fixed 100% track at each option’s own percentage rather than normalised to the total, so a poll that exceeds it shows that it does instead of being quietly rescaled.
Read from the 30 most recent posts we hold, published 6 August 2026 to 15 August 2026. Telegram labels each poll by kind — an anonymous poll, a quiz, a closed set of final results — and that label is reproduced rather than paraphrased.
Citation-graph rank — 818,287 of 1,480,688entries 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.
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
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.
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.
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.
@margielovna named 4 handles that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all.A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
References a handle that is not a live channel — we have no record it ever was one.
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 15 August 2026 — this entry's latest reading, not the date you are reading this.
“МАРЖЕЛОВНА” (@margielovna), 9,347 subscribers as measured 15 August 2026. Telegram Register, tgregister.com/channel/margielovna.
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.