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Channel

Marianna Dreams

@mariannadreams

On this record: Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Citations · Cite this entry

155subscribers

+7 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID-1002084187789
TypeChannel
Username@mariannadreams
CreatedBetween 1 November 2023 and 31 May 2024— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded8 August 2026
Last confirmed live15 August 2026
Measurements held4
Confirmed unchanged1 time, most recently 15 August 2026
On Telegramt.me/mariannadreams

Growth

148155151.57 August 2026 — 148 subscribers8 August 2026 — 149 subscribers8 August 2026 — 149 subscribers15 August 2026 — 155 subscribers7 August 202615 August 2026
4 measurements spanning 8 days, net +7. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between — snapshots are recorded only when a count changes, so gaps mean “no change observed”, never “interpolated”. The vertical axis spans 147–156 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
15 Aug 2026, 07:24155+6
8 Aug 2026, 20:02149no change
8 Aug 2026, 17:37149+1
7 Aug 2026, 18:55148first reading

Engagement

13 posts held, back to 14 May 2026the 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
64.2%
avg views ÷ 155 subscribers
Avg views / post
99.5
8 posts measured
Reaction rate
4.76%
reactions ÷ views · ER floor
Posts in window
8
of 13 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 6 of 8 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 8 August 2026
Posts held13 (14 May 20268 August 2026)
Views total796
Reactions total33
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken8 Aug 2026, 20:02 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

Video runtime
2m 59s
Average length
2m 59s

Measured directly from 1 video 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.

Reaction mix

72 reactions across 10 posts, in 12 distinct kinds. The most used accounts for 38.9% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
2838.9%
❤‍🔥1115.3%
👍79.72%
🔥68.33%
👏56.94%
😍45.56%
🥰45.56%
custom 541154436644131633534.17%
custom 540464301542160077311.39%
custom 588641179482141919111.39%
👌11.39%
🦄11.39%

Custom emoji. 3 of the rows above are 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 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 72reactions 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 14 May 2026 to 8 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.

Telegram Stars

Stars received
13
across the posts below
Posts paid on
5
of 13 we hold a reading for · 38%
Most on one post
5
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @mariannadreams. 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 13 most recent posts we hold for this entry, published 14 May 2026 to 8 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.

Recent posts

8 Aug 2026, 18:50 UTC18 views5 reactionsread 8 August 2026
Photo

Была сегодня на IT-Пикнике и среди выступлений особенно запала в душу лекция о квантовой запутанности и квантовых вычислениях, которую провел Дмитрий Чермошенцев. Простые базовые принципы физики способны менять наше восприятие вещей — в том числе в карьере. Об этом я часто пишу и делюсь на курсе «Бриллиант». Суперпозиция. Если подбросить монету — она упадёт либо орлом, либо решкой. Одно из двух. В квантовом мире объ

2❤‍🔥1👍1😍1

3 Aug 2026, 10:22 UTC73 views6 reactionsread 8 August 2026
Photo

Дао женской карьеры 2.0 ⭐️ Вышла моя новая книга "Дао женской карьеры 2.0" — про карьеру в эпоху турбулентности, умение распаковывать свои навыки, а также способность применять мягкие навыки в любой роли. Книга для девушек и женщин как в IT, так и в других отраслях, готовых применять новые подходы в работе для качественного роста, но книга также находит большой отклик и среди мужской аудитории. Приобрести книгу мож

2👏2❤‍🔥1custom 54115443664413163351

2 Aug 2026, 10:34 UTC69 views5 reactionsread 8 August 2026
Video

🦾 Роботы-помощники по дому становятся ближе Google DeepMind представили Gemini Robotics 2 — интеллектуальный слой для по-настоящему адаптивных роботов. Ключевое здесь не ловкость рук и не управление всем телом, хотя и это впечатляет. Главное — навыки, освоенные на одном роботе, теперь можно перенести на другого.

👍31custom 58864117948214191911

1 Aug 2026, 08:11 UTC83 views6 reactionsread 8 August 2026
Photo

Брюссель, 1927 год. Сольвеевский конгресс. На этой фотографии — двадцать девять человек, и семнадцать из них были или станут нобелевскими лауреатами. Эйнштейн, Бор, Планк, Гейзенберг, Шрёдингер, Дирак, де Бройль — момент зарождения квантовой науки. И в первом ряду, среди этих гигантов, сидит Мария Склодовская-Кюри — единственная женщина на снимке и единственный человек в истории, получивший Нобелевскую премию в двух

4❤‍🔥1custom 54115443664413163351

28 Jul 2026, 07:02 UTC329 views5 reactions1 Starread 8 August 2026
Photo

Что станет с вашей профессией к 2040 году 13 вопросов о том, как устроена ваша работа сегодня. На выходе — индекс устойчивости, архетип позиции и траектория на десять лет вперёд. Две минуты. Делитесь с коллегами, публикуйте в комментариях свои результаты. Развернутый разбор на почту для самых любопытных ☕️ Бесплатно. Результат сразу на экране. https://foresight2040.ru

3❤‍🔥1custom 54046430154216007731

25 Jul 2026, 10:45 UTC122 views6 reactions5 Starsread 8 August 2026
Photo

Дао женской карьеры 2 совсем скоро... Даже не верится, но я дописала вторую часть книги "Дао женской карьеры", я писала ее около 3-х лет, с рывками и перерывами, и на самом деле в какой-то момент мне даже казалось, что я не смогу это сделать. Переходя к каждой новой главе я определенно вспоминала слова Антаровой «Не говори себе: „не могу“, но улыбнись детскости этого слова и скажи: „превозмогу“»)) С момента написан

❤‍🔥31👏1🦄1

9 Jul 2026, 14:00 UTC237 views8 reactions2 Starsread 8 August 2026
Photo

SORA.Earth — ИИ-платформа для оценки экологических проектов по ESG-метрикам, углеродному следу и социальному эффекту В этом году выступала научным руководителем магистрантов в ядерном университете МИФИ, вместе с очень талантливым студентом Евгением мы разработали продукт SORA; он еще на ранних стадиях, но приглашаю вас посмотреть и потестировать лично. SORA.Earth — ИИ-платформа для оценки экологических и ESG-проект

🔥3👏2❤‍🔥1👍1😍1

14 Jun 2026, 13:02 UTC313 views15 reactions3 Starsread 8 August 2026
Photo

В этом году я в экспертном составе форума "Сильные идеи нового времени", в прошлом году принимала в нем участие сразу с несколькими собственными проектами и идеями, получив поддержку. Осталось буквально пару часов, очень рекомендую воспользоваться уникальным шансом и заявить о своих идеях на сайте.

9🥰3😍2❤‍🔥1

29 May 2026, 16:51 UTC319 views11 reactionsread 8 August 2026
Video message

Video message, posted without a caption

6👍2❤‍🔥1👌1🥰1

15 May 2026, 14:39 UTC266 views5 reactions2 Starsread 8 August 2026
Photo

Ежедневник «Дао женской карьеры» – превью Курс и книга стали опорными точками для создания собственного ежедневника. Еще прошлым летом это просто была идея, а уже осенью под эту задачу волшебным образом собралась команда: методологов, дизайнеров, маркетологов. Меня часто спрашивают, как я все успеваю. Возможно, секрет в ежедневном четком планировании и… множестве источников - календарь, методология батчинга, нескол

🔥3❤‍🔥1custom 54115443664413163351

Showing the 12 most recent of 13 posts we hold for @mariannadreams. 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.

Citation-graph rank

Citation-graph rank — 750,135 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

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.

Mentions

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 15 August 2026 — this entry's latest reading, not the date you are reading this.

“Marianna Dreams” (@mariannadreams), 155 subscribers as measured 15 August 2026. Telegram Register, tgregister.com/channel/mariannadreams.

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.