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Channel

Ira Efimova

@iraa_efimova

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

7,486subscribers

+204 since we began measuring on 7 August 2026

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

Register entry

Telegram ID-1001561838223
TypeChannel
Username@iraa_efimova
Created26 February 2022measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded7 August 2026
Last confirmed live18 September 2026
Measurements held15
Confirmed unchanged1 time, most recently 18 September 2026
On Telegramt.me/iraa_efimova

Topic

Travel — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 12 September 2026 and assigned it the closest of 31 fixed categories, at 91% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and why it has no browse page of its own yet.

Growth

7,2787,4867,3827 August 2026 — 7,282 subscribers7 August 2026 — 7,282 subscribers7 August 2026 — 7,283 subscribers10 August 2026 — 7,278 subscribers12 August 2026 — 7,336 subscribers16 August 2026 — 7,447 subscribers19 August 2026 — 7,446 subscribers22 August 2026 — 7,447 subscribers25 August 2026 — 7,442 subscribers29 August 2026 — 7,438 subscribers1 September 2026 — 7,422 subscribers4 September 2026 — 7,416 subscribers10 September 2026 — 7,415 subscribers13 September 2026 — 7,416 subscribers18 September 2026 — 7,486 subscribers7 August 202618 September 2026
15 measurements spanning 42 days, net +204. 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 7,247–7,517 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
18 Sept 2026, 00:217,486+70
13 Sept 2026, 20:157,416+1
10 Sept 2026, 06:407,415-1
4 Sept 2026, 14:157,416-6
1 Sept 2026, 09:457,422-16
29 Aug 2026, 03:547,438-4
25 Aug 2026, 22:337,442-5
22 Aug 2026, 21:187,447+1
19 Aug 2026, 11:347,446-1
16 Aug 2026, 16:557,447+111
12 Aug 2026, 22:327,336+58
10 Aug 2026, 06:457,278-5
7 Aug 2026, 11:477,283+1
7 Aug 2026, 01:307,282no change
7 Aug 2026, 01:187,282first reading

Engagement

17 posts held, back to 3 August 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 14 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
15.5%
avg views ÷ 7,486 subscribers
Avg views / post
1,160
3 posts measured
Reaction rate
5.36%
reactions ÷ views · ER floor
Posts in window
3
of 17 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 28 August 2026
Posts held17 (3 August 202628 August 2026)
Views total3,490
Reactions total187
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken28 Aug 2026, 23:06 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
6m 04s
Average length
1m 31s

Measured directly from 4 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.

Reaction mix

1,019 reactions across 17 posts, in 6 distinct kinds. The most used accounts for 50.2% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
51250.2%
🔥50149.2%
🎉20.196%
💅20.196%
❤‍🔥10.098%
😁10.098%

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 17 of the 17 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 1,019 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 17 most recent posts we hold, published 3 August 2026 to 28 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

28 Aug 2026, 13:43 UTC≈1,100 views64 reactionsread 28 August 2026
Photo

Вот что получается, если брать в путешествия пленочные фотоаппараты💔 Мы в восторге, теперь будем брать во все поездки! Атмосфера, цвета кадров – красота! Пленку беру одноразовую Kodak Проявляю в Lighthouse

34🔥30

26 Aug 2026, 12:19 UTC≈1,320 views57 reactionsread 28 August 2026
Photo

Впереди не только школа, но и новый театральный сезон. В прошлом году мы с девочками регулярно ходили в театр, поэтому план на этот сезон уже готов: Для подростков: • «Наследники» в Театре Табакова Большая семейная история про детей, родителей, деньги, ответственность и то, что в итоге остаётся после старшего поколения. Владимир Машков в главной роли. Скорее взрослый спектакль, поэтому с Лизой — уже как отдельный т

30🔥27

19 Aug 2026, 10:59 UTC≈1,090 views60 reactionsread 20 August 2026
Photo

Вчера в Место.Быть провели тренировку в честь запуска коллаборации SWEETDOTS × Пётр Карпов В этом дропе у нас две новинки и обе без сахара: миндаль в черничном шоколаде с витамином D3 и кешью в брусничном шоколаде с ежовиком. Попробовать их можно на Ozon🍬

🔥3129

19 Aug 2026, 08:45 UTC≈1,130 views56 reactionsread 20 August 2026
Photo

19 августа — Всемирный день фотографии 📸 По моему старому посту можно понять, какое место фотографии занимают в моей жизни🤍 Делитесь своими любимыми фотографиями в комментариях, а еще лучше, пишите где и когда они были сделаны.

28🔥28

17 Aug 2026, 16:36 UTC≈1,270 views52 reactionsread 20 August 2026
Photo

У «Лэндмен» тот же режиссер, что у «Йеллоустоун» и «1923», Тейлор Шеридан. Поэтому все картины объединяет: современная Америка, большие деньги и семейные драмы. «Йеллоустоун» — семейная сага о владельцах ранчо Даттонов в современной Монтане. «1923» — приквел «Йеллоустоун» с Харрисоном Фордом и Хелен Миррен. История семьи Даттонов на фоне сложного периода американской истории. «Река Мадисон» — более камерная истори

🔥2725

17 Aug 2026, 16:16 UTC≈1,280 views55 reactionsread 20 August 2026
Video

Нам с Юрой очень сложно найти сериалы для совместного просмотра, он любит все, где снимается Том Харди, классические триллеры, убийства и боевики, а я – американские «сопли» в любом проявлении. И когда мы находим что-то, что нравится нам двоим, очень радуемся Наша общая рекомендация: «Лэндмен» – шикарный сериал. Начали и не могли остановится #EfimovaTV

29🔥26

13 Aug 2026, 16:51 UTC≈1,550 views76 reactionsread 20 August 2026
Photo

Сегодня у админа праздник – всё потому, что празднуется день левшей Из всей нашей большой семьи левши только мы с Никой, судя по всему) И ни у родителей, ни у бабушек и дедушек левшей не было. Интересный факт о левшах: рука, которой мы пишем, совсем не обязательно совпадает с нашей «ведущей стороной». Можно быть левшой, но при этом ходить правой ногой, моргать правым глазом и т.д. В качестве поздравления поставить

🔥3935🎉2

12 Aug 2026, 14:17 UTC≈1,390 views63 reactionsread 20 August 2026
Photo

Vogue сделал очень классную кампанию к 250-летию США: предложил дизайнерам переосмыслить флаги всех 50 штатов. В проекте приняли участие Ralph Lauren, Calvin Klein, Thom Browne, Vera Wang и еще десятки больших имен. Каждый взял за основу историю и характер своего региона. Очень красиво и отличный пример того, как можно работать с культурным кодом сегодня.

31🔥30💅2

12 Aug 2026, 12:35 UTC≈1,380 views55 reactionsread 18 August 2026
Video

Посмотрела хорошую французскую комедию «Мечтать не вредно», основанную на реальных событиях. Главные герои – реальные люди, которые с нуля пробились в закрытый мир спортивных агентов NBA. Сюжет рассказывает историю двух парней, которые построили карьеру на высоком уровне американского баскетбола. Но сам фильм, не столько про баскетбол, сколько про предпринимательство и дружбу. Они постоянно находятся на грани отсут

29🔥26

9 Aug 2026, 14:17 UTC≈1,370 views56 reactionsread 18 August 2026
Photo

Со Всемирным днём книголюбов!📚 Вы знаете, как я люблю читать, по хэштегу #EfimovaBook можно найти все мои книжные рекомендации. Из последнего прочитанного: • Айн Рэнд «Источник» История о человеке, который отказывается идти на компромисс со своими принципами, даже когда весь мир будто бы требует обратного. • Донна Тартт «Щегол» Роман о взрослении, утрате, дружбе и попытке найти своё место в мире после травмирующе

🔥2827😁1

6 Aug 2026, 12:25 UTC≈1,380 views66 reactionsread 18 August 2026
Photo

Лето, юг Франции и эта эстетика фильма «Бассейн» 1969 г. Можно смотреть только, чтобы вдохновиться и напомнить себе, как прекрасно простое.

33🔥33

Showing the 12 most recent of 17 posts we hold for @iraa_efimova. 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.

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

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.

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 18 September 2026 — this entry's latest reading, not the date you are reading this.

“Ira Efimova” (@iraa_efimova), 7,486 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/iraa_efimova.

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.