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Channel

Mildeneta book 📚

@mildeneta_book

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

6,105subscribers

+0 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1001757515415
TypeChannel
Username@mildeneta_book
CreatedBetween 1 December 2021 and 30 April 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live15 August 2026
Measurements held5
Confirmed unchanged1 time, most recently 15 August 2026
On Telegramt.me/mildeneta_book

Growth

6,1056,1276,1166 August 2026 — 6,105 subscribers6 August 2026 — 6,105 subscribers9 August 2026 — 6,112 subscribers12 August 2026 — 6,127 subscribers15 August 2026 — 6,105 subscribers6 August 202615 August 2026
5 measurements spanning 9 days. 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 6,102–6,130 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
15 Aug 2026, 00:446,105-22
12 Aug 2026, 01:346,127+15
9 Aug 2026, 01:306,112+7
6 Aug 2026, 12:106,105no change
6 Aug 2026, 11:466,105first reading

Engagement

18 posts held, back to 29 July 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 10 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
10.7%
avg views ÷ 6,105 subscribers
Avg views / post
656
18 posts measured
Reaction rate
9.08%
reactions ÷ views · ER floor
Posts in window
18
of 18 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.

What these figures were computed from
WindowRolling 30 days · latest post in window 11 August 2026
Posts held18 (29 July 202611 August 2026)
Views total11,803
Reactions total1,072
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken12 Aug 2026, 04:39 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.

Reaction mix

1,072 reactions across 18 posts, in 4 distinct kinds. The most used accounts for 51.2% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
custom 526731543045161109054951.2%
custom 524271049052575645525623.9%
custom 526708001899915093419017.7%
custom 6192956456984121774777.18%

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 18 of the 18 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 1,072reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 18 most recent posts we hold, published 29 July 2026 to 11 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
2
across the posts below
Posts paid on
2
of 18 we hold a reading for · 11%
Most on one post
1
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @mildeneta_book. 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 18 most recent posts we hold for this entry, published 29 July 2026 to 11 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

11 Aug 2026, 14:01 UTC276 views30 reactionsread 12 August 2026
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Неожиданно для всех (в том числе и для самой себя) взялась за "Вонгозеро" 🌟Во-первых, мне нужно было что-то легкое и увлекательное в аудио, чтобы не скучать, пока я готовлю. 🌟Во-вторых, зимой я читала другую книгу автора и мне более чем понравилось. Пока продвинулась не далеко, в бумаге ~ страниц 150, но как же мне нравится сюжет. Различные варианты крушения мира и попытки выжить на его осколках — прям моё. А вы

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11 Aug 2026, 05:33 UTC412 views64 reactionsread 12 August 2026
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🍂Поговорим о питание? Эта тема так или иначе в последнее время поднимается в моей блоге, поэтому расскажу о своих столпах. 🌟Худею (именно целенаправленно худею) я третий раз в своей жизни. Обычно, конечно, удавалось совмещать и питание, и спорт, но в этот раз в силу возраста и кучи болячек пока ограничиваюсь без физической активности. Хотя опять же, делать так не советую, цифра на весах и качество тела — вещи разны

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10 Aug 2026, 16:49 UTC455 views65 reactionsread 12 August 2026
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Закончила второй порог 🌟 Сюжет потихоньку закручивается, эмоции начинают набирать обороты. Наблюдать за тем, как взрослеет Гомер и как меняются и теплеют их отношения с доктором Кедром невероятно интересно. И мне очень жаль Мелони. Да, характер у героини не сахар, но будто в тех условиях, в которых она росла, сложно было стать хорошим человеком, особенно, когда ты так остро страдаешь от одиночества. 🍂🍂🍂 Вообще, в

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9 Aug 2026, 10:47 UTC551 views94 reactions1 Starread 12 August 2026
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А это я сидела ждала, пока ко мне присоединятся участницы в рамках нашей первой лекции курса о женской литературе. И боги, я волновалась совершенно зря! Такие чудесные девушки меня окружают, яркие, живые, со своим мнением и своим взглядом. Девочки, вы — чудо 🤍

custom 526731543045161109055custom 526708001899915093422custom 524271049052575645517

8 Aug 2026, 12:31 UTC585 views62 reactionsread 12 August 2026
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🍂🍂 Уже треть месяца позади, 🍂🍂 а я до сих пор не показала вам свои книжные планы на август. Исправляюсь 🙂 🌟В клубе читаем "Правила виноделов" Ирвинга, вы уже могли видеть мои первые впечатления. 🌟Для марафонов запланировала себе Кинга, Дейвенпортов и третью книгу Питерс из цикла про археологов и Египет. 🌟Великий разлом читаем с девочками в оффлайн клубе. 🌟Пособие по особенным сновидениям, Нам нужны новые имена и

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8 Aug 2026, 08:25 UTC544 views66 reactionsread 12 August 2026
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Вчера на работе удалось улучить минутку и насладиться невероятно красивым августовским закатом 🌄 Фото, кстати, без фильтров

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7 Aug 2026, 05:19 UTC647 views77 reactionsread 12 August 2026
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🍂🍂 Тем временем я дошла 🍂🍂 до 88кг и решила поменять график питания До этого у меня было 3 основных приёма пищи и 2 перекуса за день, чтобы промежутки были максимально небольшими. Если честно, то я задолбалась. И нет, не от питания, а от попыток выдумать что же эдакого приготовить, чтобы попадать в свой дефицит в 1500 ккал, не раздувать бюджет, да ещё и чтобы это было вкусно. Последние рабочие смены я прям уже сда

custom 526731543045161109047custom 524271049052575645518custom 526708001899915093412

6 Aug 2026, 14:24 UTC703 views53 reactionsread 12 August 2026
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Ох уж эти выдуманные в своей же голове проблемы... 😒 Закончила шлифовать первую часть курса лекций, сделала к встрече крутой воркбук с интересными заданиями, а теперь сижу и ноюсь, что все плохо и ничего не выйдет. Когда уже синдром самозванца отпустит? После тестового прогона вроде было легче, а теперь все страхи вернулись с новой силой.

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6 Aug 2026, 09:40 UTC630 views54 reactionsread 12 August 2026
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📝📝Сомерсет Моэм 📝📝"Рождественские каникулы" 📝📝🌟🌟🌟🌟 Чарли Мейсон, британский аристократ и наследник крупного состояния, приезжает в Париж на рождественские каникулы. Здесь он встречает Лидию — русскую эмигрантку, вынужденную стать «ночной бабочкой». За несколько дней Лидия успевает раскрыть своему новому знакомому душу и рассказать свою трагическую историю. История Лидии заставляет Чарли по-новому осмыслить всю свою

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5 Aug 2026, 11:20 UTC748 views55 reactionsread 12 August 2026
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🍂🍂 Дочитала первый порог... и поняла, почему Ирвинг может не понравится. Одна из глав подробно рассказывает о работе врача-гинеколога на стыке 18 и 19 веков. Нас погружают в жестокие реалии далеко не самого обеспеченного класса, где женщины вынуждены продавать себя и совершать аборты вне медицинских учреждений. Эмоционально тяжело. Заставляет задуматься о том, через что проходили женщины на протяжение веков из-за з

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4 Aug 2026, 12:08 UTC712 views37 reactionsread 12 August 2026
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📝📝Али Хейзелвуд 📝📝"Игра для двоих" 🌟🌟🌟🌟 Новинка от издательства МИФ с пылу, с жару. И да, Гипотеза в свое время мне очень понравилась, поэтому почти сразу как только книга оказалась у меня в руках, я приступила к знакомству. Шанс мечты выпадает раз в жизни: Виоле Боуэн предстоит разработать видеоигру по мотивам ее любимой серии книг. Но радость быстро сменяется разочарованием. Ее напарником становится Джесси Эндрю

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3 Aug 2026, 05:53 UTC882 views60 reactionsread 12 August 2026
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🍂🍂 Вчера потихоньку начала 🍂🍂 знакомиться с Ирвингом Пока прочитала всего ничего, но уже хочется поделиться первыми впечатлениями: 🌟Автор мастерски готовит нас к основному сюжету и задаёт атмосферу с помощью описаний природы, штата и самого приюта для сирот. 🌟Не обошлось и без поклона в сторону Диккенса (помним, что сиротство — и у него частый мотив). Я всегда радуюсь, встречая в одной книге упоминание другой. Но

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Showing the 12 most recent of 18 posts we hold for @mildeneta_book. 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 — 28,784 of 1,480,944entries 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

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 4 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.

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.

“Mildeneta book 📚” (@mildeneta_book), 6,105 subscribers as measured 15 August 2026. Telegram Register, tgregister.com/channel/mildeneta_book.

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.