Telegram RegisterThe public register of Telegram

Channel

Лора Кто? Сообщество

@Lorakto

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

21subscribers

+0 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-1003537093771
TypeChannel
Username@Lorakto
DescriptionКанал подкаста "Лора Кто?", где Ася и Даша обсуждают кино. Здесь будут новые эпизоды, наши рекомендации, мемы и реакции на происходящее в мире кино и вокруг него. Ссылка на подкаст: https://lorawho.mave.digital Для связи: @thats_pirog
CreatedBetween 1 December 2025 and 16 March 2026— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded11 August 2026
Last confirmed live14 August 2026
Measurements held2
On Telegramt.me/Lorakto

Growth

217 August 2026 — 21 subscribers11 August 2026 — 21 subscribers7 August 202611 August 2026
2 measurements spanning 4 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 20–22 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
11 Aug 2026, 14:1621no change
7 Aug 2026, 03:4521first reading

Engagement

20 posts held, back to 16 March 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
161.9%
avg views ÷ 21 subscribers
Avg views / post
34.0
1 post measured
Reaction rate
23.5%
reactions ÷ views · ER floor
Posts in window
1
of 20 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 18 July 2026
Posts held20 (16 March 202618 July 2026)
Views total34
Reactions total8
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken11 Aug 2026, 14:16 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

Photos
25
Videos
3
Links
44

Lifetime counters from Telegram’s own channel header, read 11 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.

Reaction mix

186 reactions across 18 posts, in 9 distinct kinds. The most used accounts for 34.9% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
6534.9%
🔥5630.1%
👍2614.0%
😁105.38%
🥰105.38%
👏84.30%
63.23%
❤‍🔥31.61%
🏆21.08%

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 20 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 186reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 20 most recent posts we hold, published 16 March 2026 to 18 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

18 Jul 2026, 12:25 UTC34 views8 reactionsread 11 August 2026

Новый эпизод «Лоры Кто?» уже можно слушать на всех подкаст-платформах Обсуждаем мелодрамы и главный сериал этого лета «Вне кампуса» (Off Campus). Хоккеисты, любовь, абьюз и философия — все, как мы любим! Гостья эпизода — PR-директор Flowwow Даша Орешко Включайте скорее там, где вам удобнее: 🍎 Apple Podcasts 🎵 Spotify 🎶 Яндекс Музыка 📻 Mave

51🔥1🥰1

Signed Asya Kosheleva

25 Jun 2026, 06:20 UTC40 views11 reactionsread 11 August 2026

🎬 Новый эпизод подкаста! Ася и Даша вернулись из Еревана под впечатлением и разбирают шедевр Сергея Параджанова — "Цвет граната". Музей Параджанова, поиски смысла и главный вопрос выпуска: зачем вообще сегодня смотреть арт-кино без увлекательного сюжета? А еще даем ответ на вопрос: важно ли понимать, что хотел сказать автор? Обсуждаем всё это и многое другое. Слушайте тем, где удобно: 🍎 Apple Podcasts 🎵 Spotify

81🏆1🔥1

Signed Asya Kosheleva

6 Jun 2026, 14:52 UTC440 views13 reactionsread 11 August 2026

Никогда не поздно обсудить «Дьявол носит Prada-2», особенно если с умными и красивыми гостями! В гостях у «Лора Кто?» окололитературный подкаст «Умные и красивые». Вместе с кинокритиком и редактором книжной рубрики «Кинопоиска» Элизой Данте, а также книжным обозревателем и редактором прозы журнала PLOЩADKA Татьяной Худяковой честно оцениваем сиквел: ⚡️Почему Миранда Пристли уже не та? ⚡️Получится ли у Энди Сакс хор

5🔥5👏3

Signed Asya Kosheleva

16 May 2026, 10:53 UTC69 views11 reactionsread 11 August 2026

❗️Новый эпизод «Лоры Кто?»! Про еду, рестораны, сериал «Медведь» и кино 🍓В гостях — Маша Решетникова (подкаст «Хорошо, что есть чай», ведущая телеканала «Еда», автора образовательных программ для кондитеров и выпускница престижная школы кулинарного и кондитерского искусства в Барселоне Escuela Pastelería Hofman). 🍕Обязательно слушайте до конца — Маша советует свои три любимых фильма и дает рекомендации, что под них

8🏆1👍1🔥1

Signed Asya Kosheleva

30 Apr 2026, 06:59 UTC66 views8 reactionsread 11 August 2026

Тот самый обещанный в эпизоде список самых сексуальных (допустим!) персонажей английской литературы. https://www.theawl.com/2011/04/111-male-characters-of-british-literature-in-order-of-bangability/ Как оно вам? Делитесь, кто ваши литературыне фавориты!

🔥611

Signed Asya Kosheleva

29 Apr 2026, 19:43 UTC54 views9 reactionsread 11 August 2026

Если вы уже послушали наш эпизод, а хочется еще порассуждать про "Грозовой перевал", то у меня есть отличная находка для вас. 🍨Сергей Захаров (инвестгруппа Marathon Group, интернет утверждает, что это крупнейший акционер Магнита) создал проект про книги и литературу — Смысловая226. Из описания на сайте: "Книжный кластер, созданный для поддержки и развития российской книжной индустрии". По факту книжный, медиа и гр

5👍3🔥1

Signed Asya Kosheleva

28 Apr 2026, 07:48 UTC36 views8 reactionsread 11 August 2026

Новый эпизод «Лоры Кто?» уже ждет, чтобы вы его послушали! Давайте коротко: ⚡️Что смотрим: «Грозовой перевал» Эмеральд Феннел с Джейкобом Элорди и Марго Робби ⚡️Что обсуждаем: Как рождаются такие истории? Как писать такие истории? Кто может писать истории прямо сейчас? ⚡️С кем обсуждаем: Маруша, писательница, автор книги "Не Только Мама", фаундер комьюнити для пишущих девушек Girls Who Write, основательница фести

5🔥21

Signed Asya Kosheleva

16 Apr 2026, 16:18 UTC34 views11 reactionsread 11 August 2026

Наши материалы. Будем тут делиться, что слушаем, читаем, смотрим при подготовке к записи. В нашем эпизоде «Лоры кто?» про фильм «Она» мы разбираем реальные случаи, когда человек заводит романтические отношения с чат-ботом. Все эти истории — из нового сезона подкаста Tech Tonic, который посвящен теме Artificial Intimacy. Если вы потребляете англоязычный контент, то вот ссылка на него FT Tech Tonic

🔥7👍31

Signed Asya Kosheleva

12 Apr 2026, 08:52 UTC135 views13 reactionsread 11 August 2026

Отношения с ИИ — шизофрения или ок? Вышел новый эпизод «Лоры Кто», где мы вместе с предпринимательницей и основательницей цветочного магазина CoolFlowers в Праге Славой Стрецкул обсуждаем легендарный фильм «Она» (Her) с Хоакином Фениксом и пытаемся разобраться: как за 13 лет лет абсолютно утопическая история стала нашей реальностью? В этом эпизоде ⚡️ Почему Скарлет Йохансен недовольна CEO OpenAI Сэмом Альтманом? ⚡

🥰7👍4🔥2

Signed Asya Kosheleva

6 Apr 2026, 16:25 UTC28 views5 reactionsread 11 August 2026

Готовим к пятнице новый эпизод. Будем обсуждать фильм "Она" 2013 года и наш любименький ИИ, который либо приведет нас в прекрасное будущее, либо оставит всех без работы (choose your fighter). Тем временем NewYorker:

🔥311

Signed Asya Kosheleva

6 Apr 2026, 16:25 UTC31 views7 reactionsread 11 August 2026
Forwarded from @goodmorningkarlPhoto

В свежем The New Yorker обещают большое расследование Ронана Фэрроу и Эндрю Маранца о том насколько большое влияние Сэм Альтман и Open AI имеют на будущее человечества. Обложка выглядит устрашающе.

🔥51🥰1

Signed Asya Kosheleva

30 Mar 2026, 17:29 UTC37 views9 reactionsread 11 August 2026

В эпизоде подкаста с Настей вспомнили про группу HAIM, которую, как выясняется, несправедливо мало знают в российском медиапространстве (замечаю, как второй раз у Рогова сестрички попадают в обзор луков звезд, и второй раз никто не в курсе, кто это). Вы не спрашивали, но мы ответим. Очень здесь ценим творчество HAIM, так что вот вам интересные факты о группе, которая, кстати, плотно связана с кино. Обязетльно послуш

👍43👏2

Signed Asya Kosheleva

Showing the 12 most recent of 20 posts we hold for @Lorakto. 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 — 125,569 of 1,478,351entries 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.

Republishes

Channels on the register whose posts this channel has forwarded.

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

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

“Лора Кто? Сообщество” (@Lorakto), 21 subscribers as measured 11 August 2026. Telegram Register, tgregister.com/channel/Lorakto.

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.