Telegram RegisterThe public register of Telegram

Channel

Evgenia Tut DIARY

@evgeniatut

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

195subscribers

+0 since we began measuring on 9 August 2026

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

Register entry

Telegram ID-1001687604939
TypeChannel
Username@evgeniatut
CreatedBetween 1 December 2021 and 30 April 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded9 August 2026
Last confirmed live9 August 2026
Measurements held2
Confirmed unchanged1 time, most recently 9 August 2026
On Telegramt.me/evgeniatut

Growth

1959 Aug 2026, 18:48 — 195 subscribers9 Aug 2026, 22:31 — 195 subscribers9 Aug 2026, 18:489 Aug 2026, 22:31
2 measurements taken within a single day. 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 194–196 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
9 Aug 2026, 22:31195no change
9 Aug 2026, 18:48195first reading

Engagement

8 posts held, back to 3 June 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
28.2%
avg views ÷ 195 subscribers
Avg views / post
55.0
1 post measured
Reaction rate
18.2%
reactions ÷ views · ER floor
Posts in window
1
of 8 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 31 July 2026
Posts held8 (3 June 202631 July 2026)
Views total55
Reactions total10
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken9 Aug 2026, 18:48 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

65 reactions across 8 posts, in 8 distinct kinds. The most used accounts for 56.9% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
3756.9%
❤‍🔥1015.4%
👍710.8%
💯46.15%
💔34.62%
🦄23.08%
😘11.54%
🤗11.54%

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 8 of the 8 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 65reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 8 most recent posts we hold, published 3 June 2026 to 31 July 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

31 Jul 2026, 09:20 UTC55 views10 reactionsread 9 August 2026
Photo

Я часто добавляю звук в свои выставки. Я стараюсь, чтобы звук оставался почти незаметным. Звук заменяет воздух. Делает пространство и время более ощутимым, но сам не является при этом вещью для прослушивания или чем-то, что предъявляет само себя. Если честно, я так же отношусь и к своим работам. Это лучшее. Их как будто почти не должно быть. Искусство, визуальное ли, звук ли, оно как солнечный свет в помещении или и

7👍2💯1

30 Jun 2026, 11:51 UTC96 views10 reactionsread 9 August 2026
Photo

Хотела поделиться небольшим рассказом о своих работах Terra Incognita. Но смартфон скачал файлы с ошибкой. Вышел ещё более изящный и более краткий рассказ о моих работах. Оставлю так. . Всегда выходит так. Я хочу рассказать что-то о мире. Коротко и полно объять мир получается только языком искусства. Именно поэтому меня всегда ставит в тупик необходимость говорить о своем искусстве словами. Иногда получается, иногда

7💯2💔1

17 Jun 2026, 14:45 UTC112 views10 reactionsread 9 August 2026
Forwarded from @a_space_spbPhoto

Заглавная серия выставки Евгении Тут «Белые пятна» — каллиграфическая аскетичная практика черной тушью на белой поверхности. Фрагменты поверхности скрыты, будто только что исчезли или еще не проявились, иногда каллиграфия перекрывается другими рукописными жестами. Создавая работы, в которых присутствует элемент непроявленности, художница возвращает себе и зрителю право уйти от избыточной визуальности, увидеть в белом

❤‍🔥53💔2

16 Jun 2026, 18:05 UTC96 views6 reactionsread 9 August 2026
Forwarded from @saint_art_netPhoto

Заключительная неделя выставки «Белые пятна» Евгении Тут По этому случаю поговорили лично с художницей о праве на непрозрачность, дневниковой практике и пространствах, которые важно сохранять свободными. В карточках можете ознакомиться с ее взглядом на выставку. В экспозицию вошли графические, живописные и текстильные работы, исследующие опыт, который не поддаётся фиксации. Пейзаж и постель, следы записей, гора и к

2❤‍🔥2👍2

10 Jun 2026, 15:47 UTC105 views10 reactionsread 9 August 2026
Forwarded from @a_space_spbPhoto

«Я подумал о лабиринте лабиринтов, о петляющем и растущем лабиринте, который охватывал бы прошедшее и грядущее и каким-то чудом вмещал всю Вселенную. Поглощенный призрачными образами, я забыл свою участь беглеца и, потеряв ощущение времени, почувствовал себя самим сознанием мира». Хорхе Луи Борхес «Сад расходящихся тропок» Одним из лейтмотивов выставки Евгении Тут «Белые пятна» становится образ сада — архитектурно о

8❤‍🔥1👍1

7 Jun 2026, 10:14 UTC114 views10 reactionsread 9 August 2026
Photo

Мне всегда казалось важным сохранять герметичность моей практики и оставлять ее, по возможности, без развернутых комментариев. Особенно, что касается "Белых пятен". Ведь моя работа заключалась в том, чтобы создать непрозрачные пространства без информации. Однако, некоторые диалоги с людьми оказываются по-настоящему ценными. Вдруг стало интересно создавать не только белые пятна, но и обратную их сторону - пространства

7👍1💯1😘1

7 Jun 2026, 09:54 UTC108 views4 reactionsread 9 August 2026
Forwarded from @a_space_spbPhoto

На выставке «Белые пятна» концептуальной и архитектурной связкой между разделами выступают «Дневники» — графические листы Евгении Тут, своеобразные инструкции к выставке. Дневниковая практика Евгении Тут — способ художницы проявить свое присутствие, говорить о жизни с миром, не прибегая к кодировке внутреннего опыта посредством слова. Повторяющийся жест пером — ситуация «до» письма, черта является первым элементом к

❤‍🔥2👍1🤗1

3 Jun 2026, 20:35 UTC97 views5 reactionsread 9 August 2026
Forwarded from @futuro_galleryPhoto

Евгения Тут БЕЛЫЕ ПЯТНА В Санкт-Петербурге в Пространстве А открылась персональная выставка художницы Евгении Тут о природе свободы. В проекте художница размышляет о паузе перед выбором, смещая акцент с действия и его результата к «порогу», промежуточной точке. Евгения Тут конструирует паузу и порог буквально, не метафорой, а архитектурой. «Белые пятна» — фрагменты, которые еще не проявились или уже исчезли. Это з

3🦄2

Showing the 8 most recent of 8 posts we hold for @evgeniatut. 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 — 1,115,665 of 1,345,403entries 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 9 August 2026 — this entry's latest reading, not the date you are reading this.

“Evgenia Tut DIARY” (@evgeniatut), 195 subscribers as measured 9 August 2026. Telegram Register, tgregister.com/channel/evgeniatut.

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.